What are the responsibilities and job description for the Senior Software Engineer, Infrastructure position at Clera?
This forward-thinking organization develops cutting-edge AI technology to automate long-form, organization-wide workflows of any complexity—easily and safely. Their solutions serve some of the world’s most critical sectors, including Healthcare, Finance, and Telecommunications, empowering these industries to delegate mission-critical workflows (previously requiring hands-on human involvement) to autonomous AI systems.
They have secured significant investments—including some unannounced—from prominent Silicon Valley venture capital firms and high-profile industry figures. This funding supports their mission to innovate AI-driven workflow automation and revolutionize how enterprises handle essential internal processes.
They are seeking a Senior Software Engineer, Infrastructure to design, build, and enhance the core infrastructure supporting AI agents in critical production environments. You will be responsible for creating reliable, high-performance systems and ensuring the robust operation of their rapidly evolving platform.
What You Might Work On
- High-Throughput Workflow Execution Backend: Contribute to the design and development of a custom-built, high-throughput workflow engine.
- Distributed Computing Environments: Architect and maintain distributed systems to support large-scale AI workloads.
- Performance & Reliability Optimization: Identify potential system bottlenecks and proactively re-architect critical components to maintain reliability and prevent future issues.
- Scalable Services: Design and scale high-performance production services that meet enterprise-grade requirements.
Things They’re Looking For
- Proven track record delivering high-quality code in challenging projects.
- Distributed Systems Knowledge: Familiarity with parallel computing concepts and distributed architectures.
- Container Technologies: Experience with Docker, Kubernetes, Terraform, or similar.
- Proficiency in Python for backend and infrastructure development.
- Reliability & Performance Mindset: Obsessive focus on optimizing systems for speed and uptime.
Bonus Points
- Experience in ML or Data Infrastructure: Managing or leading ML Infra or Data infra projects is a plus.
- Proficiency in C /Rust: Skills in lower-level languages to optimize performance.
- Comprehensive healthcare (medical, dental, vision)
- Flexible time off 8 paid company holidays
- Financial planning support (401K, HSA, FSA)
- Parental leave: 12 weeks for birthing parents, 6 weeks for non-birthing parents
- Wellness stipends for mental and physical health
