Senior Software Engineer

Leadout Capital; Palo Alto (CA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Office-Flex scheduling

Job summary

Leadout Capital seeks an experienced Java developer with a strong AI-first mindset to build secure, scalable software that integrates AI agents and LLMs into enterprise workflows.

You will design backend services, implement robust observability, and collaborate across teams to push AI-driven tooling and test automation. Office-Flex in-person schedule applies for some teams.

Qualifications

• 4+ years of professional Java development experience.
• Demonstrated AI-first approach to engineering.
• Experience using AI tools in active development workflows.
• Ability to design, iterate on, and test prompts for structured LLM outputs.
• Experience with RESTful APIs and AWS services.
• Familiarity with BI/CI tooling and container tech.

Responsibilities

• Build and ship high-quality, production-grade software with AI as a core part of the development workflow.
• Design and orchestrate complex systems where AI agents integrate into human workflows.
• Architect and maintain backend services integrating LLMs via external APIs with observability (logs, metrics, traces).
• 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 and failure analysis.

Skills

Java development

AI-first engineering

AI tools

RESTful APIs

AWS services

CI/CD pipelines

Docker

TypeScript (Node) / Python

Jenkins

Tools

Claude Code

GitHub Copilot

Codex

Cursor

Job description

The Experience

Salesforce Trust Platform, providing foundational security, availability, compliance, and resilience for the Agentic Enterprise. From the hardware-backed Root-of-Trust to application guardrails for administrators, end users, and ISVs, we make every layer of technology secure-by-default. We make it extremely hard to attack Salesforce, misconfigure Salesforce, or introduce security bugs at Salesforce. We scale our zero-trust, always available infrastructure for the most mission-critical enterprise workloads of the world. We multiply our impact with AI. We use agents and automation to achieve auto-containment and time-to-recover targets that are only possible without human-in-the-loop.

What You'll Actually Be Doing

• 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.

The ideal candidate will be:

• 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.