Verified Tech Jobs & Hiring Companies, Updated Every 24 Hours

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking an experienced Governance, Risk, and Compliance (GRC) Engineer to own and scale our security and AI governance compliance posture as SpaceXAI grows. You will set the standards the organization builds to, design and implement controls, and automate the unglamorous parts of compliance so a fast-moving team can ship safely. The ideal candidate combines deep fluency across modern security and AI frameworks with GRC engineering skills: you translate control requirements into technical implementations, partner with engineers to bake compliance into architecture and CI/CD, and replace point-in-time checklist work with continuous, engineered assurance. You will collaborate across engineering, legal, product, and leadership to keep our AI systems audit-ready across enterprise, commercial, and public-sector environments. This role may also include additional tasks and responsibilities as needed to support the team and evolving business priorities. RESPONSIBILITIES: Own and execute security compliance implementation and audits across core frameworks including SOC 2, NIST CSF, NIST SP 800-53, ISO 27001, ISO 42001, and the EU AI Act, including control design, mapping, gap assessment, evidence collection, and remediation tracking. Build and maintain Compliance-as-Code and continuous compliance capabilities — policy-as-code, automated control validation, continuous evidence pipelines, and monitoring integrated into development and deployment workflows — so the company can move fast without cutting corners. Operate and extend GRC platforms (e.g., Vanta) as the system of record for controls, evidence, and audit readiness; integrate them with cloud, identity, and engineering tooling to reduce manual toil. Partner with engineering and architecture to embed compliance requirements early in design reviews; translate framework obligations into clear technical control narratives that satisfy auditors without slowing delivery. Develop, maintain, and continuously improve corporate policies, standards, and procedures that support the company's governance and AI management system posture. Identify, assess, and prioritize risks related to AI/ML operations, cybersecurity, regulatory compliance, data privacy, intellectual property, and cloud deployments; distinguish meaningful business risk from compliance theater. Lead risk assessments and compliance reviews for new products, model deployments, features, and architectural changes, with particular attention to AI system risks (data handling, model governance, agentic and conversational surfaces). Own and cultivate relationships with external auditors, assessors (e.g., QSAs where applicable), and regulators; serve as the bridge between auditors and internal teams so requests are reasonable, clear, and relevant to our stack. Champion a culture of security and compliance across the company — educating teams on why controls exist, not only enforcing them. BASIC QUALIFICATIONS: Bachelor's degree in computer science, Information Security, Cybersecurity, or in an engineering/STEM field. 8+ years of experience in GRC, security compliance, or technology audit roles with hands-on GRC engineering responsibilities. Demonstrated experience implementing and maintaining security compliance frameworks in cloud environments (AWS, GCP, or Azure). Expert-level working knowledge of several of the following: SOC 2, NIST CSF, NIST SP 800-53, ISO 27001, and ISO 42001 — including building and running controls, not only reading the frameworks. Experience with Compliance-as-Code practices and GRC automation tooling (e.g., Vanta, Drata, or similar), with a bias toward continuous monitoring. Ability to evaluate control objectives against real IT and cloud configurations and to work alongside engineers on remediation. PREFERRED SKILLS AND EXPERIENCE: 10+ years of security compliance, GRC engineering, or technology audit-related experience. Hands-on experience implementing technical controls (e.g., IAM, logging and monitoring, encryption, infrastructure hardening) and integrating compliance checks into CI/CD pipelines. Experience in the tech or AI/ML industry, particularly with startups or high-growth product organizations. Working knowledge of HIPAA privacy and security rules (bonus), ideally mapped into a SOC 2 or ISO-certified control environment. Experience supporting SOX / ITGC design, documentation, testing, or auditor coordination, especially in a publicly traded or IPO-bound company. Strong understanding of AI ethics and AI governance frameworks (e.g., NIST AI RMF, ISO 42001, EU AI Act) and associated operational risks. Working knowledge in data privacy frameworks (e.g., GDPR, CCPA) in a technology or cloud environment. Exceptional analytical, problem-solving, organizational, and project management skills, with the ability to take compliance programs from conception to audit-ready launch. Excellent communication and stakeholder management skills — able to explain risk and tradeoffs to engineers, legal, sales, and executives in plain language. Certifications such as CISSP, CISA, CISM, CRISC, CGEIT, ISO 27001 Lead Implementer/Auditor, or similar preferred. Experience with public sector or federal compliance programs (e.g., FedRAMP, NIST 800-171, CMMC) is a plus. COMPENSATION AND BENEFITS: $152,000 - $258,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: At SpaceXAI, the IT Data Engineering team implements and supports applications to help internal customers meet their operational needs. We establish processes for continual improvement, guide administration, and partner with multiple stakeholders on a project-to-project basis. Our mission is to keep the business running effectively while maintaining a healthy application environment. RESPONSIBILITIES: Help lead SpaceXAI's data strategy by implementing established ETL patterns, creating and supporting dependable infrastructure, and reusable components. Partner with business and engineering teams to prioritize requests and consistently deliver excellent results against time-sensitive priorities. Collaborate effectively in a fast-paced environment using strong interpersonal communication skills. BASIC QUALIFICATIONS: BA/BS in a related field (Computer Science degree preferred) Minimum 5 years of relevant experience, preferably in an enterprise environment Strong experience with databases (Vertica, MySQL, or similar) and advanced SQL Java development experience (Spring, JEE/JSE) and proficiency in Python or other modern languages Hands-on experience with integrations, APIs, and message queuing technologies (e.g., Kafka, RabbitMQ) Experience working with 3rd party APIs (Salesforce, Workday, etc.) Background working in an Agile environment PREFERRED SKILLS AND EXPERIENCE: Experience with API Gateways (e.g., Kong), RAML, and REST-based APIs Designing and deploying scalable, reliable, high-volume data integrations and real-time pipelines Big data technologies (Hadoop, MongoDB, HBase, Cassandra) On-prem and cloud enterprise solutions (Oracle, Salesforce, Workday) Scala / Scalding Deep knowledge of access control and data security Leading Data/BI/Analytics projects with a customer-first approach Custom ETL design, implementation, and maintenance Performance monitoring, error logging, and troubleshooting Java applications COMPENSATION AND BENEFITS $172,000 - $258,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a skilled Analytics Engineer to build and maintain robust data systems that enable high-impact quantitative analysis and business decision-making. This role combines strong software engineering practices with expertise in large-scale data processing and advanced analytical methods to deliver reliable, scalable solutions across the organization. This is an opportunity to work on mission-critical systems that power quantitative decision-making at global scale. RESPONSIBILITIES: Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, Flink, etc. Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement. Build and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows. Collaborate with product engineering, product, and operations teams to translate business requirements into production-grade data systems and insights. Conduct A/B tests, causal analysis, and performance evaluations to drive measurable improvements in key metrics. Implement monitoring, alerting, and automation for data systems to support real-time decision support. Mentor team members on best practices for scalable data engineering and quantitative problem-solving. BASIC QUALIFICATIONS: 4+ years of experience building production data pipelines and infrastructure at scale. Strong proficiency in Python, SQL, and distributed computing frameworks (e.g., Spark, Flink, Hadoop). Demonstrated expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design. Solid understanding of cloud services for data storage, processing, and orchestration. Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or related quantitative field. Excellent problem-solving skills with a focus on delivering business impact through reliable systems PREFERRED SKILLS AND EXPERIENCE: Prior work in consumer technology, or social media domains. Experience with real-time streaming systems and low-latency data processing. Contributions to open-source data tools or publications on large-scale analytics systems. Track record of reducing operational costs or improving system efficiency through data optimizations. Have the ability to bridge engineering excellence with rigorous analytical approaches. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a skilled and innovative Application Security Engineer to join our technology-driven company. In this role, you will be responsible for ensuring the security and integrity of our cloud-native applications and systems throughout the software development lifecycle, with a particular focus on code security, CI/CD pipelines, and emerging AI technologies. RESPONSIBILITIES: Conduct in-depth code reviews and static analysis to identify and mitigate security vulnerabilities in our applications Design and implement secure coding guidelines and best practices for development teams Collaborate closely with development teams to integrate security practices throughout the CI/CD pipeline Perform threat modeling and risk assessments for applications, developing mitigation strategies for potential risks Manage vulnerability tracking and remediation efforts, providing guidance to development teams Support incident response activities related to application security Stay current on emerging security threats and trends in cloud-native technologies and AI, continuously enhancing our security measures Evaluate and secure software supply chains, including producing and maintaining Software Bills of Materials (SBOMs) Address security concerns specific to AI and machine learning models, with a focus on the OWASP LLM Top 10 BASIC QUALIFICATIONS: Bachelor's degree in Computer Science, Cybersecurity, or a related field 3-5 years of experience in application security, with a strong focus on code security practices Deep understanding of secure coding practices, application security frameworks, and common vulnerabilities (e.g., OWASP Top 10) Proficiency in Python or Rust programming languages and experience with secure coding practices in these languages Experience securing CI/CD pipelines and implementing DevSecOps practices Familiarity with software supply chain security and SBOM generation tools Experience with security testing tools (e.g., Burp Suite, OWASP ZAP) and static/dynamic code analysis Understanding of AI/ML security implications, particularly those outlined in the OWASP LLM Top 10 Excellent communication skills, able to explain complex security issues to both technical and non-technical audiences PREFERRED SKILLS AND EXPERIENCE: Experience with cloud platforms (e.g., GCP, AWS, Azure) and their security features Relevant security certifications (e.g., CSSLP, OSWE) Background in data privacy and compliance regulations relevant to cloud-native applications and AI systems Experience with GitOps and infrastructure-as-code security Familiarity with federated learning and privacy-preserving machine learning techniques Experience in building custom security tooling to enhance and automate security processes Interest in leveraging AI to automate security tasks and improve efficiency Contributions to open-source security projects or tools Experience in securing AI/ML models and data pipelines COMPENSATION AND BENEFITS: $100,000 - $258,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an ideal candidate you have a good understanding of how highly scalable and reliable production infrastructure is built. Most of our backend infrastructure is written in Rust. So familiarity with a compiled language such as C++, Rust, or Go is highly beneficial. RESPONSIBILITIES: Build the SpaceXAI API that serves our models to developers worldwide Own the end-to-end system responsible for high-throughput inference, handling billions of tokens per minute with low latency and high availability, including model serving infrastructure, request routing, SDK development, rate limiting, observability, and efficient scaling BASIC QUALIFICATIONS: Expert knowledge of either Rust or C++ Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems Knowledge of service observability and reliability best practices Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB PREFERRED SKILLS AND EXPERIENCE: Experience with LLM inference engines and serving frameworks (e.g., SGLang, TensorRT, vLLM) Experience designing or building with agent SDKs and agent orchestration frameworks Experience with Docker, Kubernetes, and containerized applications Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping) COMPENSATION AND BENEFITS: £107,000 - £262,000 GBP Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive healthcare and dental coverage, cash plan, income protection, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The Enterprise Agents Engineering Team at SpaceXAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. BASIC QUALIFICATIONS: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB PREFERRED SKILLS AND EXPERIENCE: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerized applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Hands-on experience with LLM APIs, embeddings, or RAG patterns Track record of delivering user-facing software at scale. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: You will work on the most critical product or technical challenge at any given time. You will get clarity on your first project before an offer. BASIC QUALIFICATIONS: You believe truth-seeking AI is the most important and challenging problem. You take pride in your work and thrive in meritocratic environments. You are an exceptional software engineer. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a talented and motivated Infrastructure Security Engineer to join our security team. In this role, you will design, implement, and maintain secure cloud and hybrid infrastructure, and ensure the integrity of our cloud-native applications. This role focuses on securing critical infrastructure across multi-cloud and hybrid environments, with work that may span platforms such as SpaceXAI, X Social, X Money and related systems. You’ll operate with an automation-first mindset: building secure foundations, hardening platforms at scale, and partnering closely with engineering teams so security is embedded in how we build and run systems—not bolted on after the fact. RESPONSIBILITIES: Cloud & infrastructure security Design and implement secure cloud architectures across multiple cloud platforms (e.g., AWS, GCP, Azure) Build and secure mission-critical applications in hybrid cloud and on-premises environments Develop and maintain Infrastructure as Code (IaC) templates with embedded security controls Assist with regular security assessments and audits of cloud infrastructure and services Implement and manage cloud security tools and services (e.g., CSPM, CWPP, CASB) Manage identities and roles effectively across cloud and hybrid environments Monitor and remediate infrastructure to comply with regulations and best practices (e.g., PCI, NIST CSF, GDPR, HIPAA) Platform, containers & developer enablement Design and implement secure container standards and automation that enable frictionless developer workflows Maintain Kubernetes security aligned with current best practices Collaborate with development teams to ensure security best practices are integrated into CI/CD pipelines Secure and enhance CI/CD pipelines; integrate and maintain code scanning platforms Detection, operations & tooling Monitor and respond to security events and incidents in cloud and hybrid environments Maintain SIEM data pipelines needed for reliable alerting Build, deploy, and maintain security operations infrastructure using Python, Terraform, and configuration management (e.g., Puppet) Develop dashboards and alerts from security metrics Develop and maintain cloud security policies, standards, and procedures Own security projects end to end: identify issues and implement solutions Stay current with emerging cloud security threats and mitigation strategies BASIC QUALIFICATIONS: Bachelor's degree in Computer Science, Cybersecurity, or a related field 3–5 years of experience in cloud security, infrastructure security, or related roles Strong understanding of cloud security principles, compliance frameworks, and best practices Proficiency in at least one cloud platform (AWS, GCP, or Azure) and associated security services Proven experience securing hybrid AWS/on-premises (or multi-cloud) environments, including IAM and overall security posture Experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation) Familiarity with containerization technologies and their security implications Knowledge of network security concepts and protocols Experience with scripting languages (e.g., Python, Bash) for automation and tool development Proactive mindset with strong ownership, critical thinking, and problem-solving skills Located in the EU/UK or willing to relocate PREFERRED SKILLS AND EXPERIENCE: Relevant security certifications (e.g., CCSP, CSSK, AWS Security Specialty) Deep expertise in Kubernetes and container security Experience with multi-cloud environments and cloud-to-cloud security Knowledge of CI/CD best practices and tools Familiarity with regulatory compliance requirements (e.g., GDPR, HIPAA, PCI DSS, NIST CSF) Strong proficiency with Python, Terraform, and configuration management (e.g., Puppet) Hands-on experience building GitHub Actions and workflows Experience with observability and security operations tooling (e.g., Prometheus, Grafana, CloudWatch, Karma; SIEM platforms such as Wazuh) Experience in building custom cloud security tools or integrations Interest in leveraging AI for cloud security monitoring and automation Contributions to open-source cloud security projects Experience with securing AI/ML workloads in cloud environments Experience in banking, money transmission, P2P payments, or similarly regulated financial platforms. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .