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Senior Software Engineer
Salesforce
Palo Alto, USA
Full-time
Senior · 4+ years experience
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Key Skills for This Role
awsbazeldockerdynamodbgitjava
Full Job Posting
- Build and ship high-quality, production-grade software,with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
- Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
- Architect and maintain resilient backend services integrating Large Language Models (LLMs) via external APIs, while implementing robust observability frameworks (logs, metrics, traces) to monitor long-running AI jobs.
- Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance.
- Develop test automation and quality tooling, focusing on unit/CI test generation, test failure analysis, and flake awareness.
Required Skills
- 4+ years of professional Java development experience.
- A demonstrated, genuine AI-first approach to engineering, using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
- Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in active development workflows.
- Ability to design, iterate on, and test system and user prompts that produce structured, parseable LLM outputs (JSON classification, multi-field extraction).
- Designing and consuming RESTful APIs alongside working knowledge of AWS (S3, STS, KMS, Lambda, DynamoDB).
- Experience with Bazel or Maven and a strong willingness to work in a monorepo.
- Experience with Jenkins or equivalent CI/CD pipelines, Docker image creation, and container operations.
- Experience with TypeScript (Node) and/or Python service development is a strong plus.
- Office-Flex: work in-person three days per week; or 10 days per quarter for some engineering teams.
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