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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Director of Software Engineering to lead our Elasticsearch Distributed Systems organisation which focuses on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. As Director of Software Engineering, you will be leading an organisation of approximately 40 engineers and managers to tackle the deep distributed systems challenges that allow Elasticsearch to excel at scale. Your customers are every Elasticsearch user and each solution team which builds upon Elasticsearch. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. As a result, our team is diverse and distributed across continents. We collaborate every day over email, GitHub, Zoom, and Slack. The ability to lead a distributed team is critical. What You Will Be Doing Develop and execute a long-term engineering strategy for Elasticsearch's distributed systems, aligning technical priorities with product direction and business objectives. Drive improvements in performance, scalability, reliability and cost efficiency, including foundational capabilities supporting Serverless Elasticsearch. Lead the evolution of Elasticsearch's core distributed architecture, including cluster coordination, data allocation, indexing, replication and recovery. Provide technical leadership and oversight for complex engineering initiatives and programs, helping engineering managers and technical leaders navigate architectural decisions and competing priorities. Own engineering outcomes across your organisation, balancing technical complexity, customer impact, reliability, operational requirements and long-term maintainability. Lead, mentor, hire and develop engineering managers and senior technical leaders, establishing high performance standards and building a strong pipeline of future leaders, fostering an inclusive culture of collaboration and technical excellence. Take ownership of organisational planning, staffing and resource allocation, ensuring teams have the capabilities and support needed to deliver on strategic priorities. Partner with Product Management, engineering leaders and other teams across Elastic to define priorities and deliver complex initiatives spanning multiple engineering organisations. Act as a senior escalation point for critical technical and operational challenges, working closely with engineering, Support and SRE teams to drive effective resolution. Communicate engineering strategy, organisational priorities and progress to senior executives, influencing decisions that have a significant impact on Elastic and its customers. Run performance management with consistency (promotions, development plans, and managing underperformance through to resolution) and working with your managers to do the same. What You Bring A proven track record of leading large-scale engineering organisations, including experience managing engineering managers and developing senior technical leaders. Previous hands-on software engineering experience, with strong computer science fundamentals and substantial technical depth in distributed systems. Extensive experience designing, building or operating complex, large-scale distributed systems, ideally involving database engines, distributed storage or large-scale data processing. Strong understanding of distributed systems concepts, including concurrency, consistency, replication, fault tolerance, recovery and performance optimisation. Experience establishing engineering strategy, making architectural trade-offs and delivering complex initiatives involving multiple teams and significant technical dependencies. A track record of building effective engineering organisations, including organisational planning, senior-level hiring, performance management and leadership development. Strong operational experience, with a deep understanding of system reliability, production troubleshooting and the challenges of operating distributed systems at scale. Experience partnering with senior engineering and product leaders to establish strategic priorities, allocate resources and deliver meaningful business outcomes. The ability to navigate complex organisational challenges, influence senior stakeholders and make informed decisions in situations with significant technical or business consequences. A compassionate approach to leadership, with a genuine commitment to coaching, developing and supporting the people you work with. Excellent written and verbal communication skills, including experience presenting technical strategy and organisational priorities to senior executives. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $199,700 — $315,900 USD The typical starting salary range for this role in the select locations listed above is: $239,800 — $379,300 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third party providers response actions as forensics capabilities through OSquery. The team is leading XDR key expansion to our SIEM foundations and enhancing user experience in onboarding and managing our security product. As a Senior Software Engineer on the Security EDR Workflows team, you will help design and build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats. You’ll collaborate closely with other security engineering teams, as well as with product and design, to deliver robust, high-scale features used by security practitioners around the world. What You Will Be Doing You’ll design and implement features that power Elastic Defend user interface capabilities. You’ll build and evolve APIs that allow our product to interact with Elastic Defend data. You’ll contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities. You’ll develop scalable, high performance systems within the Elastic ecosystem. You’ll own the reliability, observability and operational health of our features, from design to production. Write production-grade code in Typescript/Node JS (and potentially other languages) as part of high-quality, well-tested codebase. You’ll collaborate with other Elastic engineering teams when working on cross-team efforts. You’ll be helping on engineering standards, tooling and team processes improvements driven by AI usage. You’ll participate in code reviews, technical design decisions, and ongoing improvements to engineering practices. You’ll be using AI to supercharge development work. What You Bring Solid programming experience in Typescript/Node JS and React JS. Ability to take ownership of problems end-to-end: from clarifying requirements and proposing designs to delivering, monitoring, and iterating in production. You take advantage of AI for better comprehension of complex problems and quickly ramping up into solutions. You have an AI powered development mindset. An initiative-taking mindset: you ask the right questions, don't make assumptions, and look for ways to improve both product and engineering processes. Solid communication skills and the ability to explain complex and technical topics to both technical and non-technical partners. Comfortable developing collaboratively. Giving and receiving feedback on code and approaches, even asynchronous over different timezones. Bonus Points Experience and interest in contributing or developing open-source projects Knowledge of the Elastic stack and solutions Experience on cybersecurity and forensics. Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third party providers response actions as forensics capabilities through OSquery. The team is leading XDR key expansion to our SIEM foundations and enhancing user experience in onboarding and managing our security product. As a Senior Software Engineer on the Security EDR Workflows team, you will help design and build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats. You’ll collaborate closely with other security engineering teams, as well as with product and design, to deliver robust, high-scale features used by security practitioners around the world. What You Will Be Doing You’ll design and implement features that power Elastic Defend user interface capabilities. You’ll build and evolve APIs that allow our product to interact with Elastic Defend data. You’ll contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities. You’ll develop scalable, high performance systems within the Elastic ecosystem. You’ll own the reliability, observability and operational health of our features, from design to production. Write production-grade code in Typescript/Node JS (and potentially other languages) as part of high-quality, well-tested codebase. You’ll collaborate with other Elastic engineering teams when working on cross-team efforts. You’ll be helping on engineering standards, tooling and team processes improvements driven by AI usage. You’ll participate in code reviews, technical design decisions, and ongoing improvements to engineering practices. You’ll be using AI to supercharge development work. What You Bring Solid programming experience in Typescript/Node JS and React JS. Ability to take ownership of problems end-to-end: from clarifying requirements and proposing designs to delivering, monitoring, and iterating in production. You take advantage of AI for better comprehension of complex problems and quickly ramping up into solutions. You have an AI powered development mindset. An initiative-taking mindset: you ask the right questions, don't make assumptions, and look for ways to improve both product and engineering processes. Solid communication skills and the ability to explain complex and technical topics to both technical and non-technical partners. Comfortable developing collaboratively. Giving and receiving feedback on code and approaches, even asynchronous over different timezones. Bonus Points Experience and interest in contributing or developing open-source projects Knowledge of the Elastic stack and solutions Experience on cybersecurity and forensics. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $128,300 — $203,000 CAD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and the linting that lets any team at Elastic ship a skill that runs across every agent. You'll help set the correctness bar, making sure the skills and tools we ship are backed by evals rather than assumed to work. You'll design and deliver integrations that make Elastic available inside third-party AI ecosystems. For that you’ll work closely with our product team and third-party partners to shape and land those integrations. You'll contribute to our Elastic CLI to enhance the efficiency of developers and their agents. You'll be developing, maintaining, and supporting libraries, tools, and integrations related to the Elastic Stack, working in a mixture of languages including Go and Rust. You'll bring product thinking to the team, holding and defending opinions on what we should build and why, informed by the ecosystem around us. What You Bring 8+ years of software engineering experience working on backend systems, services or libraries. Proficiency with AI/ML frameworks and a working understanding of LLMs, agents, agent skills and protocols such as MCP. Interest in proving correctness through evaluation rather than assuming it. Significant recent working experience of Go and (ideally) other languages. Knowledge of client-server networking, HTTP, and RESTful APIs. Comfort reading and contributing to codebases in languages you don't own, and no fear of picking up an unfamiliar one. Knowledge of industry best practices in software engineering. Product thinking: an interest in the wider ecosystem and strong opinions on what is worth building. A strong focus on usability and developer experience. Comfort with context-switching and with a space that changes quickly. A genuine interest in technology and an active interest in exploring multiple programming languages. Excellent communication, collaboration, and interpersonal skills, including in front of customers and external partners. A willingness to work as part of a remote, globally distributed team. Clear thinking, self-motivation, and the ability to learn and work independently. Bonus Points Experience building or operating infrastructure, and an interest in telemetry and observability (nice to have) A connection to technical communities through open source projects, blogs or talks (nice to have) Experience working with third-party or partner engineering teams (nice to have) Prior experience of Elastic products (nice to have) Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 307 800 zł — 486 900 zł PLN Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The role will be tasked with developing and maintaining our Application Hosting Infrastructure on Kubernetes in GCP. As a Platform Engineer, you will play a critical role in developing and maintaining our core application infrastructure that supports our business operations. You’ll be part of a small, focused team that prioritizes automation and security while engineering a robust platform for hosting internal applications. This position offers the chance to work with the latest technologies in an AI-forward environment, allowing you to contribute to impactful projects that drive our growth. What You Will Be Doing Design scalable infrastructure solutions that meet the demands of our core applications. Implement infrastructure as code practices to automate and streamline processes. Monitor system performance, optimize resources, and integrate cloud services while troubleshooting and resolving any infrastructure issues that arise. Implement CI/CD pipelines to streamline the software development lifecycle. Design and develop scalable build systems to ensure applications are delivered quickly and proficiently, matching the pace of business needs. Ensure compliance with security regulations and best practices to protect application infrastructure. Collaborate with Infosec and other engineering teams to implement effective incident response and CVE remediation processes. Collaborate with cross-functional teams to gather requirements for platform improvements. Provide technical support and guidance to internal users of the platform. Facilitate knowledge sharing sessions to educate team members on platform features and best practices. Analyze cloud spending patterns to ensure cost optimization and implement financial governance policies for cloud resources. Identify opportunities for cost savings while enhancing operational efficiency. Regularly assess application usage to eliminate unused resources and maintain a proficient environment. What You Bring Bachelor's degree in Computer Science or equivalent experience 5+ years with infrastructure as code tools like Terraform or Crossplane 5+ years with cloud service providers like AWS, Azure, or Google Cloud Kubernetes and Cloud Native Associate or equivalent certification Knowledge of service mesh architectures such as Istio or Linkerd Hands-on experience with cloud security practices and tools Experience with cost management tools for cloud infrastructure Led cross-functional initiatives that improved platform usability and performance based on user feedback Experience with Elasticsearch is a plus Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As a Senior Application Engineer on our IT Team, you'll be instrumental in developing and implementing solutions that help us meet our business objectives with Xactly. We’re seeking a candidate who possesses strong technical expertise and enjoys working collaboratively, contributing to a culture of continuous improvement and innovation. If you're excited about making a real impact in a team-oriented setting, this could be the right fit for you. What You Will Be Doing: Build, maintain, and optimize Connect integration pipelines between source systems and Xactly. Partner with non-technical stakeholders (comp analysts, finance ops), Sales Compensation, Accounting, Sales, and IT to define data requirements. Troubleshoot and resolve data quality issues, failed Connect jobs, data mismatches, and pipeline errors before commission runs. Document pipeline configurations, field mappings, and transformation logic so the next developer doesn't have to reverse-engineer it. What You Bring 5+ years of hands-on Xactly Connect experience, specifically with data pipelines, transformations, and scheduling. Proficiency in Xactly Extend and Xactly CEA. Strong SQL skills for writing, optimizing, and troubleshooting queries, alongside familiarity with ETL concepts and flat-file/SFTP data exchange patterns. Experience with source system integrations such as SFDC, Workday, NetSuite, or similar CRM/HCM/ERP platforms. Strong attention to detail, recognizing that errors in comp data have a direct pay impact. Nice to Have: Xactly certification(s), knowledge of ICM/SPM processes (quota, territory, crediting, payment cycles), scripting experience (Python, PowerShell, or shell) for Connect job automation, and familiarity with data warehousing or BI tools (Snowflake, Tableau, etc. ). Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $94,300 — $149,200 USD The typical starting salary range for this role in the select locations listed above is: $113,300 — $179,200 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Elastic IT team is moving beyond simple chat to the next frontier: Agentic Workflows and Agent-to-Agent (A2A) Systems. We are looking for an innovative Agentic AI Engineer to join our team. You will build multi-agent ecosystems that are self-directed. These ecosystems will do more than just answer questions. They will collaborate, delegate tasks, and execute complex business processes across the organization. In this role, you will focus on large language models (LLMs), agent orchestration, and A2A integration frameworks to power our intelligent workforce. You will create workflows for multiple agents instead of just focusing on single-agent search or managing the stack. These workflows will enable the agents to communicate with each other, share information, access enterprise tools, and automate tasks from start to finish. Driven by a service-oriented mindset, you will empower internal teams with cutting-edge LLM capabilities while integrating seamlessly with enterprise systems. Are you ready to build the next generation of LLM-powered multi-agent systems that supercharge enterprise productivity? Join us to enable agent-to-agent workflows that turn collective knowledge into instant, coordinated action across Elastic. What You Will Be Doing A2A Architecture & Multi-Agent Orchestration: Design, build, and deploy agent-to-agent (A2A) communication architectures and workflows that enable autonomous agents to collaborate, delegate tasks, and negotiate multi-step business processes. LLM Integration & Tool Calling: Integrate advanced LLMs, both proprietary and open-source, with enterprise APIs. Use tool-calling methods. Connect with third-party SaaS applications for smooth operations. Enterprise Grounding & RAG: Use advanced Retrieval-Augmented Generation (RAG) techniques. Implement strategies that connect enterprise context by using search and vector storage engines. This will ensure that all inter-agent operations are highly accurate and reliable. Scalable Infrastructure & IaC: Provision and manage robust cloud environments (AWS, Azure, GCP) using Terraform to support the high-concurrency demands of LLM inferences and multi-agent coordination. DevOps & Lifecycle Management: Support modern DevOps practices. This includes creating CI/CD pipelines for automated testing, deployment, and versioning. You will also evaluate LLMs and agentic workflows regularly. A2A Security & Governance: Apply strict security and network fundamentals (VPC configurations, secure API gateways, encryption, and IAM controls) to secure inter-agent communication and protect sensitive enterprise data. LLM Observability & Evaluation: Create systems to monitor how multiple agents interact. These systems will help us check model accuracy. They will also help manage token spending and identify model drift or agent loops. Documentation: Keep detailed technical documents for LLM integration protocols. This includes A2A interaction flows and cloud infrastructure deployments. What You Bring LLM & GenAI Expertise: Deep experience integrating, fine-tuning, and optimizing foundation models (e.g., OpenAI, Anthropic, open-source models), including expertise in prompt engineering, tool calling, and structured outputs. Agent-to-Agent (A2A) Protocols: Proven success building multi-agent systems, inter-agent messaging pipelines, state management frameworks, and dynamic task delegation protocols. Agentic Frameworks: Hands-on experience with multi-agent orchestration frameworks such as LangGraph , LangChain , AutoGen , etc. along with tracing platforms like LangSmith . Market Trends & Interoperability: Strong understanding of emerging AI interoperability standards, such as the Model Context Protocol (MCP) and open multi-agent communication specifications. Programming: Advanced proficiency in Python or TypeScript for backend orchestration, agent memory systems, and API service development. Enterprise Grounding & Vector Search: Practical knowledge of RAG patterns, vector databases, hybrid search architectures, and context management strategies. DevOps & Infrastructure as Code (IaC): Hands-on experience with DevOps practices and infrastructure automation using Terraform, Docker, and Kubernetes for scalable AI deployments. Security & Network Fundamentals: Strong knowledge of secure cloud architectures, zero-trust network design, private endpoints, and identity management (OAuth, SAML, IAM) for secure A2A interactions. LLM Observability & Evaluation: Experience setting up observability frameworks (logging, distributed tracing, and metrics) to track non-deterministic multi-agent workflows, token costs, and LLM output quality. Enterprise AI Platform Knowledge: Knowledge of the broader agentic and workflow landscape (e.g., Workday A2A, Salesforce Agentforce, ServiceNow AI Agents). #LI-JM5 Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $94,300 — $149,200 USD The typical starting salary range for this role in the select locations listed above is: $113,300 — $179,200 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Senior Network Engineer (VPN/VDI) who will take charge of designing, deploying, and managing our multi-cloud network and VDI infrastructure. In this role, you'll collaborate with engineering, security, and operations teams to drive automation and implement Zero Trust security, ensuring our systems remain reliable and scalable as we grow. If you enjoy building robust networks and making a real impact within an organization, this position offers a chance to do just that. What You Will Be Doing Design a robust multi-cloud network architecture that supports our growing infrastructure needs. Create detailed network diagrams and documentation to guide implementation. Evaluate and select the best networking technologies, while implementing and optimizing routing protocols for efficiency. Develop plans for network scalability and maintain our Meraki networks to ensure reliable performance. Assist in deploying VPN and VDI solutions within our multi-cloud environment. Support integration efforts among network components and facilitate training for junior engineers and support staff. Collaborate with cross-functional teams to ensure smooth implementation of network services and provide on-call support to resolve any issues that arise. Monitor network performance metrics to identify areas for improvement. Analyze traffic patterns to optimize resource allocation and enhance efficiency through performance tuning adjustments. Generate regular reports on performance and collaborate with engineering teams to resolve any performance-related challenges. Implement Zero Trust security principles throughout the network infrastructure to enhance security. Conduct regular security assessments and vulnerability scans to identify weaknesses. Work with security teams to define and implement comprehensive security policies. Deploy and manage effective network security tools and monitor network traffic for any suspicious activity, responding promptly to incidents. Diagnose and address network connectivity issues within the VPN and VDI infrastructure. Utilize network diagnostic tools to identify and address performance bottlenecks effectively . Collaborate with engineering teams to tackle complex technical problems and ensure all issues are logged in a ticketing system for timely resolution. Provide detailed documentation of troubleshooting processes for future reference. Maintain detailed documentation of network configurations and any changes made. Update architectural diagrams to accurately represent the current network topology and VDI setup. Develop standard operating procedures for network maintenance and troubleshooting, while managing a knowledge base with best practices and lessons learned. Oversee the design and deployment of VDI infrastructure tailored to meet organizational needs. Configure and manage VDI solutions to ensure optimal performance and a positive user experience. Integrate VDI systems with the existing network and implement user access controls to create secure environments. Conduct training sessions on VDI best practices and troubleshooting for team members. What You Bring 5+ years with network engineering in a multi-cloud environment 3+ years with VPN and VDI technologies Proficiency in designing multi-cloud network architecture Experience with Meraki network management Skilled in conducting security assessments and vulnerability scans Knowledge of network performance monitoring tools Ability to diagnose and address VPN connectivity issues Experience with performance tuning adjustments for networks Proficiency in managing VDI infrastructure and user access controls experience with maintaining Aviatrix Successful implementation of a complex multi-cloud network architecture Track record of optimizing VPN and VDI deployments for performance and reliability Demonstrated improvement in network security posture resulting from Zero Trust implementations Established best practices for network performance monitoring and reporting Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $94,300 — $149,200 USD The typical starting salary range for this role in the select locations listed above is: $113,300 — $179,200 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.