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Machine Learning II Engineer – Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from evolving threats. Our mission is to empower organizations with secure and scalable technology that stands resilient in the face of cyber challenges. We are seeking a Machine Learning Engineer II to join our product development team working on Incydr, our Insider Risk Management product. In this role, you will embrace the role of "full-stack" data scientist, which will often require you to acquire and clean raw data, engage internal and external partners to obtain labels for that data, develop machine learning and statistical models, deploy models to production, and monitor the models for performance. Beyond your technical skills, you will be asked to lead ML-based initiatives that are leveraged across the breadth of our solutions. It is expected that you will understand the business context and challenges as well as articulate practical solutions. You will also collaborate with other development teams and cross functional teams to provide features that bring value to our customers and help them secure their collaboration culture. AI-First Engineering at Mimecast Mimecast is an AI-first engineering organization. Machine Learning engineers at Mimecast are empowered to use AI development tools every day—to explore ideas, prototype quickly, interpret data and experiment results in order to advance modeling work with clarity and pace. That is how we work; it is not an add-on. You will build systems that embed AI directly into the product, including LLM and agent-based patterns. Fluency in designing modern AI architectures - including LLM and agent-based systems - is a core expectation of the job from day one. What You’ll Do: Research, design, develop, and maintain state-of-the-art machine learning models optimized for accuracy, latency, and throughput. Train, evaluate, and fine-tune models using best practices in model selection, validation, and performance optimization. Provide recommendations and strategies to manage scalability, tuning, and other configurations within the data infrastructure. Stay up-to-date with the latest advancements in ML/AI and proactively introduce innovative ideas and concepts from current research. Design and implement robust, end-to-end data and ML pipelines capable of feeding real-time data products. Source, clean, and perform feature engineering on raw data using a variety of data tools and frameworks. Productionize and deploy ML models, ensuring seamless integration with existing systems. Monitor deployed models for efficacy, throughput, and latency, and iterate as needed to maintain optimal performance. Understand and influence software architecture decisions to enable the delivery and analysis of high-volume datasets. Lead and deliver ML projects from conception to production deployment, impacting thousands of customers. Mentor and guide junior team members, establish and champion best practices, and foster a culture of continuous learning and improvement. Collaborate with diverse teams including Product, Engineering, Marketing, Customer Success, and Sales to develop customer-facing predictive models. Work independently with Product to conceptualize, research, and develop new features that drive business value. Communicate complex technical concepts clearly and effectively, including giving regular knowledge-sharing sessions to ML experts and engineers across teams. Collaborate with teammates throughout the product development organization, including product owners, User Interface/User Experience Designers, Quality Assurance Analysts, Technical Writers, and Customer Champions. Own, shape, and prioritize your work with minimal oversight, demonstrating strong self-management and accountability. Proactively establish strong relationships with key stakeholders, quickly building trust and rapport across the organization. Take initiative to learn about new technologies and methodologies, sharing insights and fostering a culture of curiosity and growth. Foster a collaborative team environment where everyone shares ownership and responsibility, supports one another, and strives for excellence. Mentor and support junior staff, helping them grow their skills and confidence. Champion a supportive and inclusive team culture, encouraging open feedback and continuous improvement. What You’ll Bring: Hold a Ph.D. or Master’s degree in a quantitative discipline (such as computer science, statistics, or mathematics) with a minimum of four years’ experience applying advanced machine learning techniques to real-world industry challenges, or possess a Bachelor’s degree with at least six years of directly relevant experience. Demonstrate advanced programming proficiency in Python, C++, Java, or Kotlin, and possess hands-on expertise with leading tools and frameworks including PyTorch, NLTK, Spacy, OpenCV, Tesseract, and Huggingface. Exhibit a robust understanding of linear algebra, stochastic optimization, and probability theory, with a proven ability to translate these concepts into practical real-world solutions. Possess deep theoretical and practical knowledge of statistical inference and machine learning, with experience in forecasting, time series analysis, hypothesis testing, anomaly detection, classification, and regression. Have a track record of working with large-scale datasets (exceeding two million training examples) and effectively managing highly imbalanced data. Be proficient in utilizing AWS data services such as ECS, Kinesis, Lambda, S3, Glue, Sagemaker, Bedrock, Athena, RDS, and Redshift for scalable data processing and deployment. Demonstrate experience in architecting and deploying scalable generative AI services leveraging frameworks such as Langchain, Llamaindex, n8n, and springAI Show capability in developing and maintaining infrastructure-as-code to automate and streamline the deployment of team-owned services. Be experienced in using version control systems to manage and collaborate on codebases efficiently. Have a strong understanding of handling sensitive data in accordance with Master Service Agreements and compliance requirements. Display exceptional analytical and problem-solving skills, with meticulous attention to detail and accuracy. Exhibit intellectual curiosity and a strong growth mindset, with a proven ability to learn rapidly in dynamic, loosely structured environments. Take ownership of deliverables and demonstrate accountability as an integral member of a collaborative team. Thrive in a cooperative work environment, readily offering and seeking assistance to achieve shared goals. Adapt seamlessly to shifting priorities and demands in a fast-paced setting. Communicate effectively and comfortably with non-technical colleagues and stakeholders. Show a genuine passion for designing and delivering robust, high-quality solutions. Excel in both collaborative and independent work, with outstanding communication and teamwork abilities. Articulate complex technical concepts clearly to peers in both written and verbal formats. Effectively convey the business implications of technical decisions to non-technical audiences. What We Bring: Join our Incydr Product Development team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements. Mimecast offers formal and ‘on the job’ learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross functional teams to build your knowledge! Our Hybrid Model: We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person: Fosters a culture of collaboration, communication, performance and learning. Drives innovation and creativity within and between teams. Introduces employees to priorities outside of their immediate realm. Ensures important interpersonal relationships and connections with one another and our community! The base salary range for this position is $124,000−$186,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. #LI-CS1 Belonging at Mimecast Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing careers@mimecast.com. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

Machine Learning II Engineer – Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from evolving threats. Our mission is to empower organizations with secure and scalable technology that stands resilient in the face of cyber challenges. We are seeking a Machine Learning Engineer II to join our product development team working on Incydr, our Insider Risk Management product. In this role, you will embrace the role of "full-stack" data scientist, which will often require you to acquire and clean raw data, engage internal and external partners to obtain labels for that data, develop machine learning and statistical models, deploy models to production, and monitor the models for performance. Beyond your technical skills, you will be asked to lead ML-based initiatives that are leveraged across the breadth of our solutions. It is expected that you will understand the business context and challenges as well as articulate practical solutions. You will also collaborate with other development teams and cross functional teams to provide features that bring value to our customers and help them secure their collaboration culture. AI-First Engineering at Mimecast Mimecast is an AI-first engineering organization. Machine Learning engineers at Mimecast are empowered to use AI development tools every day—to explore ideas, prototype quickly, interpret data and experiment results in order to advance modeling work with clarity and pace. That is how we work; it is not an add-on. You will build systems that embed AI directly into the product, including LLM and agent-based patterns. Fluency in designing modern AI architectures - including LLM and agent-based systems - is a core expectation of the job from day one. What You’ll Do: Research, design, develop, and maintain state-of-the-art machine learning models optimized for accuracy, latency, and throughput. Train, evaluate, and fine-tune models using best practices in model selection, validation, and performance optimization. Provide recommendations and strategies to manage scalability, tuning, and other configurations within the data infrastructure. Stay up-to-date with the latest advancements in ML/AI and proactively introduce innovative ideas and concepts from current research. Design and implement robust, end-to-end data and ML pipelines capable of feeding real-time data products. Source, clean, and perform feature engineering on raw data using a variety of data tools and frameworks. Productionize and deploy ML models, ensuring seamless integration with existing systems. Monitor deployed models for efficacy, throughput, and latency, and iterate as needed to maintain optimal performance. Understand and influence software architecture decisions to enable the delivery and analysis of high-volume datasets. Lead and deliver ML projects from conception to production deployment, impacting thousands of customers. Mentor and guide junior team members, establish and champion best practices, and foster a culture of continuous learning and improvement. Collaborate with diverse teams including Product, Engineering, Marketing, Customer Success, and Sales to develop customer-facing predictive models. Work independently with Product to conceptualize, research, and develop new features that drive business value. Communicate complex technical concepts clearly and effectively, including giving regular knowledge-sharing sessions to ML experts and engineers across teams. Collaborate with teammates throughout the product development organization, including product owners, User Interface/User Experience Designers, Quality Assurance Analysts, Technical Writers, and Customer Champions. Own, shape, and prioritize your work with minimal oversight, demonstrating strong self-management and accountability. Proactively establish strong relationships with key stakeholders, quickly building trust and rapport across the organization. Take initiative to learn about new technologies and methodologies, sharing insights and fostering a culture of curiosity and growth. Foster a collaborative team environment where everyone shares ownership and responsibility, supports one another, and strives for excellence. Mentor and support junior staff, helping them grow their skills and confidence. Champion a supportive and inclusive team culture, encouraging open feedback and continuous improvement. What You’ll Bring: Hold a Ph.D. or Master’s degree in a quantitative discipline (such as computer science, statistics, or mathematics) with a minimum of four years’ experience applying advanced machine learning techniques to real-world industry challenges, or possess a Bachelor’s degree with at least six years of directly relevant experience. Demonstrate advanced programming proficiency in Python, C++, Java, or Kotlin, and possess hands-on expertise with leading tools and frameworks including PyTorch, NLTK, Spacy, OpenCV, Tesseract, and Huggingface. Exhibit a robust understanding of linear algebra, stochastic optimization, and probability theory, with a proven ability to translate these concepts into practical real-world solutions. Possess deep theoretical and practical knowledge of statistical inference and machine learning, with experience in forecasting, time series analysis, hypothesis testing, anomaly detection, classification, and regression. Have a track record of working with large-scale datasets (exceeding two million training examples) and effectively managing highly imbalanced data. Be proficient in utilizing AWS data services such as ECS, Kinesis, Lambda, S3, Glue, Sagemaker, Bedrock, Athena, RDS, and Redshift for scalable data processing and deployment. Demonstrate experience in architecting and deploying scalable generative AI services leveraging frameworks such as Langchain, Llamaindex, n8n, and springAI Show capability in developing and maintaining infrastructure-as-code to automate and streamline the deployment of team-owned services. Be experienced in using version control systems to manage and collaborate on codebases efficiently. Have a strong understanding of handling sensitive data in accordance with Master Service Agreements and compliance requirements. Display exceptional analytical and problem-solving skills, with meticulous attention to detail and accuracy. Exhibit intellectual curiosity and a strong growth mindset, with a proven ability to learn rapidly in dynamic, loosely structured environments. Take ownership of deliverables and demonstrate accountability as an integral member of a collaborative team. Thrive in a cooperative work environment, readily offering and seeking assistance to achieve shared goals. Adapt seamlessly to shifting priorities and demands in a fast-paced setting. Communicate effectively and comfortably with non-technical colleagues and stakeholders. Show a genuine passion for designing and delivering robust, high-quality solutions. Excel in both collaborative and independent work, with outstanding communication and teamwork abilities. Articulate complex technical concepts clearly to peers in both written and verbal formats. Effectively convey the business implications of technical decisions to non-technical audiences. What We Bring: Join our Incydr Product Development team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements. Mimecast offers formal and ‘on the job’ learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross functional teams to build your knowledge! Our Hybrid Model: We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person: Fosters a culture of collaboration, communication, performance and learning. Drives innovation and creativity within and between teams. Introduces employees to priorities outside of their immediate realm. Ensures important interpersonal relationships and connections with one another and our community! The base salary range for this position is $124,000−$186,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. #LI-CS1 Belonging at Mimecast Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing careers@mimecast.com. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

Machine Learning II Engineer – Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from evolving threats. Our mission is to empower organizations with secure and scalable technology that stands resilient in the face of cyber challenges. We are seeking a Machine Learning Engineer II to join our product development team working on Incydr, our Insider Risk Management product. In this role, you will embrace the role of "full-stack" data scientist, which will often require you to acquire and clean raw data, engage internal and external partners to obtain labels for that data, develop machine learning and statistical models, deploy models to production, and monitor the models for performance. Beyond your technical skills, you will be asked to lead ML-based initiatives that are leveraged across the breadth of our solutions. It is expected that you will understand the business context and challenges as well as articulate practical solutions. You will also collaborate with other development teams and cross functional teams to provide features that bring value to our customers and help them secure their collaboration culture. AI-First Engineering at Mimecast Mimecast is an AI-first engineering organization. Machine Learning engineers at Mimecast are empowered to use AI development tools every day—to explore ideas, prototype quickly, interpret data and experiment results in order to advance modeling work with clarity and pace. That is how we work; it is not an add-on. You will build systems that embed AI directly into the product, including LLM and agent-based patterns. Fluency in designing modern AI architectures - including LLM and agent-based systems - is a core expectation of the job from day one. What You’ll Do: Research, design, develop, and maintain state-of-the-art machine learning models optimized for accuracy, latency, and throughput. Train, evaluate, and fine-tune models using best practices in model selection, validation, and performance optimization. Provide recommendations and strategies to manage scalability, tuning, and other configurations within the data infrastructure. Stay up-to-date with the latest advancements in ML/AI and proactively introduce innovative ideas and concepts from current research. Design and implement robust, end-to-end data and ML pipelines capable of feeding real-time data products. Source, clean, and perform feature engineering on raw data using a variety of data tools and frameworks. Productionize and deploy ML models, ensuring seamless integration with existing systems. Monitor deployed models for efficacy, throughput, and latency, and iterate as needed to maintain optimal performance. Understand and influence software architecture decisions to enable the delivery and analysis of high-volume datasets. Lead and deliver ML projects from conception to production deployment, impacting thousands of customers. Mentor and guide junior team members, establish and champion best practices, and foster a culture of continuous learning and improvement. Collaborate with diverse teams including Product, Engineering, Marketing, Customer Success, and Sales to develop customer-facing predictive models. Work independently with Product to conceptualize, research, and develop new features that drive business value. Communicate complex technical concepts clearly and effectively, including giving regular knowledge-sharing sessions to ML experts and engineers across teams. Collaborate with teammates throughout the product development organization, including product owners, User Interface/User Experience Designers, Quality Assurance Analysts, Technical Writers, and Customer Champions. Own, shape, and prioritize your work with minimal oversight, demonstrating strong self-management and accountability. Proactively establish strong relationships with key stakeholders, quickly building trust and rapport across the organization. Take initiative to learn about new technologies and methodologies, sharing insights and fostering a culture of curiosity and growth. Foster a collaborative team environment where everyone shares ownership and responsibility, supports one another, and strives for excellence. Mentor and support junior staff, helping them grow their skills and confidence. Champion a supportive and inclusive team culture, encouraging open feedback and continuous improvement. What You’ll Bring: Hold a Ph.D. or Master’s degree in a quantitative discipline (such as computer science, statistics, or mathematics) with a minimum of four years’ experience applying advanced machine learning techniques to real-world industry challenges, or possess a Bachelor’s degree with at least six years of directly relevant experience. Demonstrate advanced programming proficiency in Python, C++, Java, or Kotlin, and possess hands-on expertise with leading tools and frameworks including PyTorch, NLTK, Spacy, OpenCV, Tesseract, and Huggingface. Exhibit a robust understanding of linear algebra, stochastic optimization, and probability theory, with a proven ability to translate these concepts into practical real-world solutions. Possess deep theoretical and practical knowledge of statistical inference and machine learning, with experience in forecasting, time series analysis, hypothesis testing, anomaly detection, classification, and regression. Have a track record of working with large-scale datasets (exceeding two million training examples) and effectively managing highly imbalanced data. Be proficient in utilizing AWS data services such as ECS, Kinesis, Lambda, S3, Glue, Sagemaker, Bedrock, Athena, RDS, and Redshift for scalable data processing and deployment. Demonstrate experience in architecting and deploying scalable generative AI services leveraging frameworks such as Langchain, Llamaindex, n8n, and springAI Show capability in developing and maintaining infrastructure-as-code to automate and streamline the deployment of team-owned services. Be experienced in using version control systems to manage and collaborate on codebases efficiently. Have a strong understanding of handling sensitive data in accordance with Master Service Agreements and compliance requirements. Display exceptional analytical and problem-solving skills, with meticulous attention to detail and accuracy. Exhibit intellectual curiosity and a strong growth mindset, with a proven ability to learn rapidly in dynamic, loosely structured environments. Take ownership of deliverables and demonstrate accountability as an integral member of a collaborative team. Thrive in a cooperative work environment, readily offering and seeking assistance to achieve shared goals. Adapt seamlessly to shifting priorities and demands in a fast-paced setting. Communicate effectively and comfortably with non-technical colleagues and stakeholders. Show a genuine passion for designing and delivering robust, high-quality solutions. Excel in both collaborative and independent work, with outstanding communication and teamwork abilities. Articulate complex technical concepts clearly to peers in both written and verbal formats. Effectively convey the business implications of technical decisions to non-technical audiences. What We Bring: Join our Incydr Product Development team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements. Mimecast offers formal and ‘on the job’ learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross functional teams to build your knowledge! Our Hybrid Model: We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person: Fosters a culture of collaboration, communication, performance and learning. Drives innovation and creativity within and between teams. Introduces employees to priorities outside of their immediate realm. Ensures important interpersonal relationships and connections with one another and our community! The base salary range for this position is $124,000−$186,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. #LI-CS1 Belonging at Mimecast Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing careers@mimecast.com. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

Senior Software Engineer About Mimecast Mimecast is a global leader in cybersecurity, dedicated to protecting more than 42000 customers from the escalating landscape of digital threats. Mimecast has transitioned from traditional email security to unified Human Risk Management platform, designed to secure the modern collaborative workspace – spanning Email, Slack, Microsoft Teams and beyond. By integrating advanced AI-powered detection with deep behavioural insights, Mimecast identifies and mitigates risks as the “human layer”, where technology and user behaviour intersect. Why Join Our Team? Are you passionate about building robust, scalable systems that make a real impact? At Governance, Compliance & Insights, you’ll join a collaborative team tackling the unique challenges of enterprise data back-up & recovery. Here, your ideas matter, your code shapes the future, and your work directly improves how global businesses safeguard their most valuable assets. Mimecast is an AI-First engineering organization. Our teams actively leverage AI-powered development tools across all facets of engineering, from code development to testing, documentation, and operations. What You’ll Do As a Senior Software Engineer (with backend specialization), you will play a pivotal role within the GCI team. In this role, you will: Develop and maintain robust, high-performance Java-based APIs Design and implement cloud-native backend services on AWS across serverless (Lambda, API Gateway) and containerized (ECS/EKS) platforms Architect and evolve distributed, event-driven systems for high-throughput processing, resilience, and scalability Lead technical design discussions, code reviews, and production troubleshooting to uphold engineering excellence Define and improve CI/CD pipelines, observability, and deployment strategies for reliable cloud delivery What You’ll Bring Have 9+ years of hands-on experience in backend engineering. Expert-level proficiency with Java (21+), modern Java frameworks and libraries, and deep understanding of data structures, algorithms, and system design. Strong experience with AWS services such as EKS, ECS, Lambda, EC2, S3, DynamoDB, SQS/SNS, and API Gateway. Proven experience designing, building, and operating distributed systems and RESTful APIs at scale. Experience working with relational databases (SQL) and understanding how to optimise queries for performance. Working experience with Git and familiarity with Jenkins pipelines. Working experience with observability tools like Grafana, Prometheus, ELK, or OpenTelemetry. A proactive approach to problem-solving and a drive to understand the “under the hood” mechanics of complex backend systems. Demonstrated proficiency with AI-assisted development tools (e.g., Cursor) to enhance productivity and streamline workflows. What We Bring Mimecast offers an attractive compensation package for the right candidate, including base salary and performance bonus. Mimecast also offers formal and on-the-job learning opportunities, maintains a comprehensive benefits package, and fosters a culture that celebrates achievement. We believe in growth that’s good, a culture that cares, and a mission that matters. Our Hybrid Model We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to that office at least 2 days per week, because working together in person: Fosters a culture of collaboration, communication, performance and learning. Drives innovation and creativity within and between teams Introduces employees to prioritises outside of their immediate realm. Ensures important interpersonal relationships and connections with one another and our community! LI-GK1 Belonging at Mimecast Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

Software Engineer I, Endpoint Sensor About Mimecast The work people build is worth protecting, and it's harder to protect than it used to be. AI agents now move at machine speed with human-level access, and a small slip-up can become a very public one. We disrupt cybercriminal activity before that happens. We think fast, go big, and always demand more of ourselves. We work hard, deliver, and repeat. We grow with real determination and put success well within reach. We push each other to be better and expect to be pushed back, in a community built on respect, where everyone is counted. Work Protected. Overview Incydr Product Development is looking for a Software Engineer to join the Endpoint Data Protection team. Incydr protects organizations from data loss and insider risk across millions of endpoints, and we're investing in the next generation of that protection: defending data wherever it moves, however it moves. In this foundational role, you'll work on endpoint sensor technology that runs continuously and reliably on corporate machines across Windows, macOS, and Linux. You'll work at the lowest levels of the operating system, building kernel drivers and Endpoint Security extensions that power how Incydr detects and stops data loss and insider risk. You'll build features end to end, from early research and proof of concept through production at scale. Mimecast is an AI-First engineering organization. Our teams actively leverage AI-powered development tools across all facets of engineering, and we're looking for someone genuinely curious about working this way—including bringing that curiosity to securing the AI-driven workflows this role increasingly has to defend against. What You'll Do Implement features and fixes within our Windows, macOS, and Linux agents, starting with well-scoped pieces and growing toward owning small features end to end. Work at the OS boundary on kernel-mode components and Endpoint Security and Network Extensions, developing greater independence as you build platform depth. Contribute to detection paths and inline enforcement logic, progressing from guided implementation toward ownership of specific paths. Integrate agent capabilities with backend and product workflows, initially through existing integration points and later by designing new ones. Build observability, performance, and stability into always-on production components, supported by mentorship from senior engineers. Develop a security-first mindset by reasoning about untrusted input, evasion, and insider risk—not just external attackers. Explain and defend the code you ship in review, including code drafted with AI assistance, and demonstrate why it is correct rather than relying only on passing results. What You'll Bring Experience building production software through professional work, internships, coursework, or hands-on personal projects, with readiness to deliver well-scoped work and grow toward owning small features independently. Sound C++ fundamentals, including an understanding of memory management, concurrency, and performance trade-offs. Interest in systems programming on Linux, macOS, or Windows, with hands-on exposure to areas such as kernel-mode drivers, Windows Filtering Platform, Endpoint Security or Network Extensions, eBPF, or similar technologies. Ability to read and understand existing software architecture and make small, sound architectural decisions as your scope grows, including decisions around interface boundaries and extensibility. A security-curious mindset and the ability to reason about adversarial behavior and insider risk. Comfort using AI coding assistants, paired with the discipline to independently verify, understand, and take responsibility for their output. Coachability and a track record of turning feedback into stronger design and code quality over time. Experience with Rust, Swift, or systems-level Linux development is a plus. Cross-platform development experience across Windows, macOS, and Linux is a plus. Exposure to network-layer monitoring, data security, or data loss prevention concepts is a plus. Experience shipping enterprise software—including installation, automatic updates, or multi-tenant configuration—is a plus. A portfolio, such as GitHub projects, a technical blog, or coursework, demonstrating genuine hands-on systems work is a plus. The base salary range for this position is $100,000-$150,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. Belonging at Mimecast Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing careers@mimecast.com. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.