Staff Software Engineer - 100% Remote - FTE

• Partner with product, architecture, and engineering teams to translate business requirements into technical designs.
• Contribute hands-on to application development, system design, and technical delivery.
• Lead technical discussions with stakeholders, engineering teams, and leadership.
• Help guide architecture decisions across multiple teams or pods.
• Build and support scalable, modern applications using AWS, TypeScript/Node.js, PostgreSQL, and microservices.
• Own delivery accountability and help drive projects from design through implementation.
• Support AI experimentation efforts and help define best practices around AI/LLM engineering where applicable.

• Strong system design and architecture experience in modern software environments.
• Hands-on development experience with the ability to contribute directly to coding and technical implementation.
• Experience with AWS, TypeScript, Node.js, and PostgreSQL.
• Full-stack engineering competency, with a strong backend focus.
• Experience designing and building microservices or modern distributed architectures.
• Ability to work cross-functionally with product, architecture, engineering, and leadership teams.
• Strong communication skills and comfort leading technical conversations.
• Self-starter mindset with the ability to operate in a high-ownership, multi-team environment.
• Nice to have: experience with LLMs, AI experimentation, agentic AI concepts, or helping define AI engineering strategy and practices.

Optomi, in partnership with a leading pet screening technology company, is seeking a Staff Software Engineer to join a high-impact engineering organization. This person will serve as a key technical partner across product, architecture, and engineering teams, helping translate product requirements into scalable technical designs while staying hands-on with development.

This role is ideal for someone who enjoys working across multiple teams, leading technical discussions, influencing architecture decisions, and owning delivery in a fast-moving environment. The team is also exploring AI and LLM-driven initiatives, so this person will have the opportunity to help shape engineering practices around emerging AI capabilities.