Senior Software Engineer: Agentic Workflow & Craftsmanship

Cambria is a company dedicated to philanthropy and employee well-being, and they are seeking a Senior Software Engineer to orchestrate advanced, agentic workflows and engineer quality infrastructure for enterprise-grade software. The role involves writing production-grade code, designing robust architectures, and championing software craftsmanship to minimize long-term costs of change.

Responsibilities:

• Write production-grade code alongside advanced agents, engineer systems that orchestrate agentic workflows, and construct the surrounding quality machinery to ensure reliability under heavy enterprise loads
• Design and implement robust, stacked architectures that employ algorithmic guardrails to successfully bound and constrain stochastic LLM outputs
• Champion continuous refactoring, micro-modular design, and extreme code readability as standard daily practices to keep the long-term cost of change low
• Adapt 2020-era quality methodologies (e.g., TDD, real Devops, BDD, etc.) to modern AI paradigms by implementing characterization testing, mutation testing, property-based testing, observability frameworks, and related
• Engage in heavy, direct technical collaboration with a peer group of senior engineers; actively participate in high-level trade-off debates while maintaining a strict 'disagree and commit' shipping philosophy

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent professional experience)
• Minimum of 10 years of professional software engineering/code-writing experience
• Proven track record working in both agile Startup environments and scaled Enterprise organizations
• Substantial, proven experience architecting and maintaining production-grade enterprise software systems
• Deep understanding of complex integration surface areas, the long-term life cycle of architectural decisions, and designing for decade-long maintainability
• Hands-on, deep engagement with current-generation development agents (e.g., Claude Code, Codex, or equivalent tools) within the current calendar year
• Demonstrated experience moving past basic prompt engineering into building tools, pipelines, and stacked architectures to tighten developer feedback loops
• An empirical, evidence-based understanding of the current limitations, failure modes, and strengths of LLM-driven development
• Fluency in at least one mainstream programming language, with a demonstrated ability to learn and switch languages fluidly based on project needs
• Working depth with Git, CI/CD pipelines, containerization, and modern testing frameworks
• Thrives in a highly iterative environment ('build today, release tonight, refactor tomorrow')
• A proactive investigator who utilizes continuous experimentation and strict metrics to discover technical truths
• Ability to confidently articulate and defend a complex technical viewpoint while remaining fully supportive of executing a peer's differing strategy to high standards
• Rejects simple 'A > B' binaries, instead evaluating options through a lens of relative costs and alignment with core objectives (e.g., 'Given goal Q, option A costs X and option B costs Y)
• Deep, hands-on proficiency with modern, cutting-edge AI tools and workflows (as of 2026)
• Demonstrated commitment to continuous learning and staying current with rapid advancements in the AI space
• Prolonged periods sitting at a desk and working on a computer
• May be required to travel between local Cambria locations