Backend Engineer

About Atlas.AI

Atlas.AI is a B2B software company making AI useful in everyday work. Our platform connects company knowledge with the tools teams already use, helping them find answers, automate routine tasks, and move work forward.

We build with a practical mindset: start with a real customer problem, test our assumptions, and pay attention to the details. Across engineering, design, and our customer teams, we share a focus on making software people can understand and trust.

ABOUT THE ROLE

We’re looking for a Backend Engineer who enjoys building scalable systems, designing clean APIs, and solving complex technical challenges. At this stage of the company, you’ll own projects end-to-end: scoping, system design, implementation, testing, deployment, and iteration. You won’t be siloed — you’ll work closely with product, design, and other engineers to translate product ideas into durable, maintainable backend systems.

This role is ideal for someone who wants significant autonomy, thrives in fast-moving environments, and is excited to contribute to both product and technical direction.

WHAT YOU'LL DO

• Design, build, and maintain backend services, APIs, and core platform components.
• Own major technical projects from concept to deployment and ongoing iteration.
• Improve system performance, scalability, and reliability as usage grows.
• Collaborate with product, design, and frontend teams to create seamless user experiences.
• Develop and maintain data models, storage solutions, and integrations.
• Write clean, well-tested, well-documented code.
• Participate in technical discussions, architectural planning, and code reviews.
• Contribute to engineering culture, best practices, and technical standards.

WHAT YOU'LL BRING

• 2–5+ years of professional backend engineering experience.
• Strong experience with at least one modern backend stack (e.g., Node.js, Python, Go, Java, etc.).
• Solid understanding of API design, databases (SQL or NoSQL), and distributed systems fundamentals.
• Experience building and maintaining production services.
• Strong debugging, profiling, and performance optimization skills.
• Product mindset — you think in terms of customer value and usability.
• Ability to thrive in a dynamic, detail-light startup environment.
• Strong communication skills and a collaborative approach.
• Ownership mentality — you care about the long-term quality of the systems you build.

NICE-TO-HAVES

• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with containerization/orchestration (Docker, Kubernetes).
• Background in data pipelines, event-driven architectures, or microservices.
• Experience with CI/CD pipelines and DevOps practices.
• Interest in helping shape engineering processes and technical direction.

WHY YOU’LL LOVE WORKING HERE

• High ownership and autonomy — you’ll directly influence what we ship and how we build.
• A product that customers love, with strong early traction and a huge opportunity ahead.
• A collaborative, low-ego team that values learning, quality, and impact.
• Competitive compensation, equity, and benefits.

Let’s build something useful.

If you’re excited about making AI work better for real teams, we’d love to hear from you. You don’t need to meet every qualification to apply. Tell us what you’ve built, what you’ve learned, and what you’d like to work on next.