Senior Software Development Engineer
Listed on 2026-09-01
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Software Development
Cloud Engineer - Software, DevOps, Backend Developer, Full Stack Developer
The Opportunity
Typography is central to how ideas are communicated. If you're passionate about beautifully created design, have deep curiosity about what AI can do, and take personal responsibility for creating products that people love; then this may be the role for you. Adobe Fonts supports millions of creatives in choosing and using typefaces across , Express, Photoshop, Illustrator, Acrobat, and more Creative Cloud platforms.
Our Internal Services team provides the platform engineering and deployment backbone for all of these. We manage CI/CD, deployment approaches, the services and data layers our engineers depend on, our observability and security stance, and increasingly the agentic tools that transform how our entire organization delivers software.
Typography is central to how ideas are communicated. If you're passionate about beautifully created design, have deep curiosity about what AI can do, and take personal responsibility for creating products that people love; then this may be the role for you. Adobe Fonts supports millions of creatives in choosing and using typefaces across , Express, Photoshop, Illustrator, Acrobat, and more Creative Cloud platforms.
Our Internal Services team provides the platform engineering and deployment backbone for all of these. We manage CI/CD, deployment approaches, the services and data layers our engineers depend on, our observability and security stance, and increasingly the agentic tools that transform how our entire organization delivers software.
We're seeking a Senior Software Development Engineer to lead this exciting journey in our San Francisco location.
What You’ll Do- Own and evolve our deployment platform. Lead strategy for CI/CD, PR environments, and release safety across a mixed fleet that includes containerized services, serverless services, and static front ends.
- Build the foundation for AI-accelerated development. Help build our agent factory and grow our internal agentic toolkit and skill library.
- Ship inference applications e greenfield services from spec to production and standardize our ML/inference footprint.
- Modernize our services for the AI era. Identify where an existing service is held back by its current build and lead the fix.
- Rethink our security posture for agentic threats. Lead how we secure autonomous agents and their tool use.
- Expose Adobe Fonts to the agentic ecosystem. Extend our Model Context Protocol (MCP) surface and conversational, intent-based font discovery.
- Work higher up the stack, too. Contribute directly to search, browse, discovery, and the customer-fac ing experiences our platform powers.
- Hold ownership over what you deliver to production, encompassing on-call support, incident management, and the reliability of the services and pipelines that the entire organization depends upon.
- Set technical direction and multiply the team. Write the development docs, run the technical reviews, and mentor engineers.
- Deep full-stack fundamentals and craft — build, testing, code quality, code review — plus system development and production maturity: latency, scale, reliability, observability, and on-call ownership.
- Ships and owns services end to end, and reasons fluently across the whole stack: front end (JavaScript/Type Script, React or Web Components), application services (Ruby/Rails, Python, Go, and comfort picking up others), and the SRE/config/hardware layer beneath (Terraform, Chef, Kubernetes/Helm, AWS).
- Strong CI/CD ownership (Jenkins or equivalent), containerization and orchestration, infrastructure-as-code, and AWS (EC2/ASG, IAM, Lambda, API Gateway, Cloud Front). Experience making deployment fast, safe, and self-service — ephemer/preview environments, progressive delivery, rollback strategy.
- Solid grasp of the data and messaging layers behind real services, including relational, caching, search, and event-driven/pub-sub. You know how to run migrations and upgrades without downtime.
- Hands-on understanding of building AI-enabled systems: agent runtimes, tool calling, MCP, LLM/inference serving, and the infrastructure…
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