Docker Jobs

Modal is seeking a high-impact Solutions Architect to lead technical strategy for its most strategic enterprise accounts. In this role, you will act as the executive technical counterpart to Enterprise Account Executives, guiding complex evaluations, shaping infrastructure modernization roadmaps, and promoting multi-product adoption for AI/ML workloads. This is a strategic, consultative position that requires deep architectural knowledge, executive presence, and the ability to influence significant infrastructure decisions. You will collaborate directly with CTOs, VPs of Engineering, and ML platform leaders to reimagine how AI infrastructure is built and operated. If you excel in fast-paced technical sales environments and are passionate about shaping the infrastructure powering modern AI companies, this role is for you.

Langfuse, now part of ClickHouse, is building an open-source LLM engineering platform focused on tracing, evaluation, and prompt management. We aim to be the 'Datadog' for LLM applications, addressing the complexity of building useful AI. Our platform is trusted by numerous Fortune 50 companies and has a significant user base with millions of SDK downloads. Joining ClickHouse allows us to accelerate product development and leverage data expertise. This role offers a unique opportunity to have a significant impact, working on open-source features visible to a large community. Product Engineers at Langfuse own features end-to-end, from understanding user problems to shipping solutions, gaining deep exposure to cutting-edge LLM application development.

Langfuse is building the "Datadog" for LLM engineering platforms, offering tracing, evaluation, and prompt management. As part of ClickHouse, we are scaling our open-source platform to process terabytes of AI tracing data daily for thousands of AI teams, including 19 of the Fortune 50. We are seeking a Senior Backend Engineer to own and scale the infrastructure that powers this data-intensive platform. Your work will directly impact the performance and affordability of Langfuse at scale, optimizing ingestion pipelines, ClickHouse data models, and backend abstractions. You will also ensure Langfuse runs seamlessly across cloud and self-hosted environments, with direct access to the ClickHouse database engineering team.

Replit

Replit is seeking an experienced Growth Infrastructure Engineer to build and maintain the technical foundation for scalable growth experiments, high-performance data pipelines, and automated systems. This role is at the intersection of growth, product, and infrastructure, requiring deep technical engineering skills combined with an understanding of experimentation and data-driven optimization. You will collaborate with product, data science, and backend teams to ensure growth initiatives run smoothly and scale efficiently across systems. This is a unique opportunity to be an early member of a new Growth team, with significant ownership and influence over technical direction and product outcomes, working on a product that has experienced massive user growth.

Poolside is building a world where AI drives economically valuable work and scientific progress, aiming to accelerate software development through agentic systems and frontier models. This role is a core part of the Pretraining Data team, responsible for building and scaling the Model Factory, a system for rapid training, scaling, and experimentation with foundation models. The primary mission is to architect and maintain high-performance pipelines that transform trillions of raw tokens into high-quality dataset "fuel" for models. This involves engineering ingestion, deduplication, and streaming systems for petabyte-scale data, bridging the gap between raw web crawls and GPU clusters, and directly influencing model performance through superior data modeling and distributed pipeline optimization. Collaboration with Pretraining, Posttraining, Evals, and Product teams is key to generating high-quality datasets that address missing model capabilities and downstream use cases.

Fireworks is seeking a Security Engineer to play a key role in designing, implementing, and operating security controls across AI infrastructure, AI platforms, and internal systems. This role is crucial for strengthening our security posture and supporting rapid growth, ensuring the confidentiality, integrity, and availability of data, models, and infrastructure as organizations increasingly rely on large language models and cloud-native AI services. You will be instrumental in building trust by embedding security across all layers of our technology stack.

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 The Developer Experience team is what keeps Harvey’s fast growth momentum possible — the kind of fast where every week brings new products, new capabilities, and new challenges. We build the CI/CD systems, internal frameworks, and platform-level guardrails that enable all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on the Developer Experience team, you will be responsible for creating frameworks and systems that maximize the velocity and efficiency of every engineer at Harvey. You’ll work across the entire tech stack and collaborate with every team to instill reliability, automation, and simplicity into our developer workflows. You'll also have a unique opportunity to apply AI directly to the problem of developer productivity, defining the future of software development within an AI-native company. If you are passionate about building foundational platforms to enable other engineers to move fast with confidence, we’d love to hear from you. What You’ll Do - Develop and scale a world-class developer platform to accelerate Harvey's hyper growth. Boost velocity and stability through robust CI/CD systems, effective test frameworks, and reliable development environments.. - Build load testing and benchmarking infrastructure essential for evaluating and optimizing the performance of AI-native applications. - Pioneer the future of software development and site reliability engineering by integrating AI agents across the software development, deployment and maintenance lifecycle. - Collaborate with Backend Platform teams to embed testability, reliability and observability into the platform, ensuring services built on our foundation are robust, easy to test and maintain. - Work closely with engineering teams to gather feedback, evangelize best practices, and make the “paved road” a reality — empowering every Harvey engineer to move fast with confidence. - Set the strategic direction and roadmap for scaling developer experience as Harvey expands, and contribute strategically to team decision-making. - Provide strong technical leadership and mentorship, upholding a high bar for engineering excellence across the team. What You Have - 7+ years of software engineering experience, including building scalable backend systems or internal developer platforms. - Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals and distributed systems. - Hands-on experience with CI/CD systems (Builtekite, Github Actions), test frameworks, or load and performance testing. - Hands-on experience with container technologies (Docker, Kubernetes) and infrastructure as code (Pulumi, Terraform). - A track record of producing high-quality, well-tested code, consistently following software development best practices to ensure quality and reliability. - Proven technical leadership throughout the entire project lifecycle, including ideation, design, implementation, and productionization. - Experience mentoring engineers, guiding architectural decisions, and shaping culture to foster engineering excellence. - Strong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productive - Excellent collaboration and communication skills, with the ability to work across teams and incorporate feedback. - Experience integrating AI agents into a developer ecosystem is a strong plus. 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

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role is on the Developer Experience team, which is crucial for maintaining Harvey's rapid growth by building CI/CD systems, internal frameworks, and platform-level guardrails. The team enables all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on this team, you will create frameworks and systems to maximize the velocity and efficiency of every engineer at Harvey, working across the entire tech stack. You will also have a unique opportunity to apply AI directly to developer productivity, shaping the future of software development within an AI-native company.

$175k - $250k

Mistral AI

Mistral AI is seeking passionate and skilled backend software engineers to join our new team in NYC. As a Backend Engineer, you will contribute to the development of core systems powering our AI platform, including AI Studio, Le Chat, and Mistral Code. Your work will shape how millions of users and developers interact with our AI platform at scale, focusing on building reliable, high-performance backend systems and APIs. This role directly impacts the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff levels who are eager to learn, collaborate, and ship impactful products.

Modal is seeking an experienced Forward Deployed Engineer (FDE) to partner with our sales team and drive technical sales success. As an FDE, you will be the technical voice in our sales process, working directly with Account Executives to help enterprise customers understand how Modal can transform their AI/ML infrastructure. You will partner with Account Executives to identify, qualify, and close strategic enterprise opportunities, lead technical discovery sessions with prospective customers to understand their current infrastructure, pain points, and requirements, and design and present compelling technical solutions that demonstrate how Modal addresses customer needs. You will also architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform, conduct technical demos, experiments, and proof-of-concepts that showcase Modal's capabilities, and navigate complex technical evaluations and address security, compliance, and integration concerns. Additionally, you will build trusted advisor relationships with technical decision-makers, collaborate with product and engineering teams to communicate customer feedback and influence product roadmap, and support contract negotiations by providing technical expertise.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We are seeking a core member for our Applied AI team to lead Forward Deployed Engineering efforts with enterprise customers. This role involves translating advanced AI research into high-impact, real-world applications, owning the technical strategy and delivery of agentic systems from discovery to production launch.

Mistral AI

Mistral AI is seeking early-career software engineers, including new graduates or those with up to 1-2 years of experience, to join their software engineering teams. In this role, you will contribute to building and enhancing the core systems that power Mistral's products, such as AI Studio and Applications, as well as supporting operations like SRE, data, and security. You will play a key part in shaping how users and developers interact with the AI platform at scale, working closely with experienced engineers who will mentor and support your growth. This is an opportunity for enthusiastic graduates to learn, collaborate, and deliver impactful products in a fast-paced environment.

Cohere

Cohere is seeking a Senior ML Systems Engineer to join their team and build, maintain, and evolve the training framework that powers their frontier-scale language models. This role is ideal for someone passionate about large-scale training, distributed systems, and HPC infrastructure, offering the opportunity to design and maintain core components for fast, reliable, and scalable model training. You will also build tooling to connect research ideas to thousands of GPUs, working across the full stack of ML systems with significant autonomy and impact.

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.

Decagon is seeking a Founding Solutions Architect - Infrastructure to shape how enterprises deploy and scale our AI-powered platform. This role blends pre-sales engineering, deployment architecture, and enterprise infrastructure strategy. You will serve as a trusted advisor to enterprise prospects and customers, guiding them through complex deployment discussions, from containerization to multi-cloud architectures, ensuring seamless integration with their existing infrastructure while meeting security, compliance, and scalability needs. As a founding hire, you will define deployment solutioning best practices, collaborate with Sales, Product, and Engineering, and establish technical credibility with stakeholders across various departments.

We are seeking Forward Deployed Engineers to join our engineering team, working at the intersection of deep infrastructure and direct customer impact. In this role, you will partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, and sandboxing. Your primary goal will be to help them design and deploy production infrastructure on Modal's platform, acting as a key technical advisor and problem-solver.

Mistral AI

Mistral AI is seeking a Software Engineer to design and build core systems that drive the company's growth, focusing on the Enterprise Agents area. This role involves developing internal tools, integrations, connectors, workflows, and dashboards to enhance information flow across the organization. The engineer will collaborate closely with internal stakeholders to understand business needs, translate complex workflows into scalable software, and deliver pragmatic solutions that optimize team operations. The position is at the intersection of engineering, finance, data, and operations, contributing to a dynamic and collaborative team environment.

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 passionate and skilled software engineers to join our team as Backend Engineers. You will contribute to the development of core systems powering our main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You'll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers, directly impacting the developer and user experience. We welcome engineers at all levels, from fresh graduates to senior and staff engineers, who are eager to learn, collaborate, and ship impactful products.

Mistral AI

Mistral AI is seeking experienced backend software engineers to join our Deployment team. You will be responsible for deploying and integrating our AI products, including models and APIs, across various infrastructure configurations, from major cloud providers to self-hosted solutions. This role involves close collaboration with research, product, and solution architect teams to ensure our frontier models are accessible to customers across different environments. We are a dynamic, collaborative team passionate about democratizing AI through high-performance, open-source models and a comprehensive AI platform.