AWS Jobs

Cohere

Cohere is seeking a Senior Software Engineer with a focus on security to join their North team. This role involves owning and shipping production security features for AI agents, rather than just reviewing them. You will play a key part in building and securing the North architecture, contributing to the core development of security features and ensuring AI agents are secure by design.

Replit

Replit is seeking an Engineering Manager to lead the team responsible for building the foundational infrastructure for Replit Enterprise. This role will focus on enabling deployment flexibility, robust networking capabilities, and essential data controls required by large organizations. The manager will own the roadmap for key enterprise infrastructure features such as single-tenant deployments, private networking, data residency, and customer-managed encryption, collaborating closely with Platform & Infrastructure Engineering, Security, and Sales teams to drive adoption among demanding enterprise clients.

Harvey

As a Software Engineer on the Core Infrastructure team at Harvey, you will play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. This foundation powers every user interaction with Harvey, processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You will work in an environment balanced between innovation and operational excellence, ensuring Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.

$200k - $250k

Cohere

Cohere is seeking a Site Reliability Engineer to join the Model Serving team. This role is crucial for developing, deploying, and operating the AI platform that delivers Cohere's large language models via API endpoints. You will work closely with various teams to deploy optimized NLP models into production environments, ensuring low latency, high throughput, and high availability. The position also offers the opportunity to interact with customers and create customized deployments to meet their specific needs, contributing to the widespread adoption of AI.

Cohere

Cohere is seeking Members of Technical Staff to join the Model Serving team. This role focuses on developing, deploying, and operating the AI platform that delivers Cohere's large language models via API endpoints. You will work closely with various teams to deploy optimized NLP models into production environments, ensuring low latency, high throughput, and high availability. The position also offers the opportunity to interact with customers and build customized deployments to meet their specific needs.

Replit

As an Enterprise/Strategic Field Engineer, you will be the technical expert for Replit's largest and most strategic accounts. This hybrid role involves high-impact pre-sales activities, such as closing complex technical evaluations, and post-sales responsibilities, including driving adoption, expansion, and retention. You will own the complete technical relationship, from initial architecture discussions through multi-year growth, ensuring customers fully leverage Replit and become Replit-powered organizations. You will collaborate closely with Account Executives and Account Managers in a high-accountability Pod structure, acting as a proactive, strategic technical leader to anticipate and resolve issues, champion new use cases, and significantly influence annual recurring revenue.

Cohere

Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are seeking engineers to join our team and contribute to the widespread adoption of AI. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications, acting as a bridge between our core North product and client engineering teams. You will be at the forefront of solving complex problems and securely integrating AI into critical sectors like finance, healthcare, and telecommunications, working with esteemed clients and focusing on Agentic AI.

Harvey

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are a fast-scaling company with strong product-market fit, seeking ambitious individuals to help build a generational company. Our team operates with intensity, ownership, and a commitment to our mission, valuing decisiveness, simplicity, and continuous improvement. As a Software Engineer on the Site Reliability team, you will ensure the reliability, scalability, and performance of our legal AI platform, owning the systems that keep our platform fast, secure, and always on. Your work will be crucial in maintaining platform resilience as we grow across 50+ regions.

$200k - $260k

Harvey

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.  This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. What You’ll Do - Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions - Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements - Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention - Establish best practices for security, compliance, and reliability and collaborate across teams to drive these principles throughout the software lifecycle - Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality - Provide technical mentorship and leadership, promoting best practices and fostering team growth What You Have  - 10+ years of experience in Site Reliability Engineering or similar roles supporting production environments, with proven ability to mentor and guide technical teams - Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.) - Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.) - Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.) - Strong programming skills (Python, Bash, Go, or similar languages) - Proven track record of diagnosing complex system problems and implementing durable solutions - Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles - Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence Compensation Range $238,000 - $290,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

$238k - $290k

Mistral AI

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. In this role, you will lead project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation, while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their Proto Team, which acts as the technical pre-sales arm of the GTM organization. This role operates at the intersection of product and customer, translating Mistral's AI technology into real-world solutions that deliver value quickly. The engineer will build high-impact, full-stack AI solutions for global customers on short timelines, owning the end-to-end execution from scoping to deployment. This position also involves collaborating with GTM, product, and engineering teams, contributing to internal tools and product improvements, and testing new capabilities to inform product direction. The ideal candidate is a fast-moving, highly curious builder who thrives in complexity and ambiguity, possesses strong problem-solving skills, and has a hacker mindset with deep engineering instincts.

Mistral AI

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams of Applied AI Engineers to ensure successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will serve as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation, and collaborating with research, product, and engineering teams to shape future offerings. The position bridges cutting-edge AI research with real-world enterprise applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral's vision.

Cohere

Cohere is a leading enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are seeking engineers to join our team and contribute to the widespread adoption of AI. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications, acting as a bridge between our core North product and client engineering teams. You will be at the forefront of solving complex problems and securely integrating AI into critical sectors.

Replit

As an Enterprise/Strategic Field Engineer, you will be the technical expert for Replit's largest and most strategic accounts. This hybrid role involves high-impact pre-sales activities, such as closing complex technical evaluations, and post-sales responsibilities, including driving adoption, expansion, and retention. You will own the complete technical relationship, from initial architecture discussions through multi-year growth, ensuring customers fully leverage Replit and become Replit-powered organizations. You will collaborate closely with Account Executives and Account Managers in a high-accountability Pod structure, acting as a proactive, strategic technical leader to anticipate and resolve issues, champion new use cases, and significantly influence annual recurring revenue.

Mistral AI

Mistral AI is seeking an Applied AI Engineer focused on DevOps to help customers adopt its products and solve complex technical challenges. In this role, you will apply your problem-solving abilities, creativity, and technical skills to assist organizations in leveraging AI for significant impact. You will gain unique insights and contribute to critical global industries and institutions. Applied AI Engineers at Mistral AI work in small teams, owning end-to-end execution of high-stakes projects, which may involve discussing architecture, managing large-scale data, coding custom applications, engaging with customer executives, and strategizing for the Applied Engineering team.

Mistral AI

Mistral AI is seeking an Applied AI Engineer focused on DevOps to help customers adopt our AI products and solve complex technical challenges. In this role, you will apply your problem-solving abilities, creativity, and technical skills to assist organizations in leveraging AI for significant impact. You will gain unique insights and contribute to critical global industries and institutions. Your responsibilities will resemble those of a startup CTO, working in small teams to own the end-to-end execution of high-stakes projects, which may involve discussing architecture, managing large-scale data, coding applications, engaging with customer executives, and strategizing for the Applied Engineering team.