Senior Software Engineer

As a Senior Software Engineer, you are a technical leader and a trusted problem solver who works at the intersection of business and engineering. You collaborate closely with stakeholders across product, operations, and the business to deeply understand the “why” behind the work — ensuring that the systems you design and build directly support meaningful business outcomes and customer needs. You bring clarity to complex problem spaces, propose scalable solutions, and drive execution from concept through production.

You lead the design and implementation of critical systems — often those that require architectural foresight, cross-team coordination, or innovative thinking. You’re adept at balancing competing constraints, identifying long-term risks, and making thoughtful trade-offs between speed, quality, and extensibility. You have a track record of making systems simpler, more reliable, and more maintainable over time — and influencing others to do the same.

You are expected to model and champion the use of AI tools in your development process — using them to increase speed, quality, and exploratory capacity. You help others adopt AI responsibly, and you remain critical of its output. At this level, you also play a key role in identifying opportunities to integrate AI capabilities into the products and services we build — especially where it can improve customer experience, internal efficiency, or system intelligence. You set the bar for testing, automation, and delivery excellence.

You are a strong partner to both engineering and business stakeholders. You help product managers frame complex trade-offs, clarify ambiguous problems, and align technical decisions with business strategy. You represent engineering in high-stakes discussions and coach others to do the same. At this level, you are also expected to take ownership of system security — ensuring that services you build handle sensitive data responsibly and defend against threats with secure-by-default design.

What you’ll do:

Lead the design and implementation of scalable systems and services with significant technical and business impact.
Champion the use of AI tools in the development process — guiding adoption and best practices.
Identify opportunities to integrate AI into the product to improve customer outcomes and internal efficiency.
Partner with cross-functional and business stakeholders to define problem spaces and propose technical solutions.
Balance delivery with engineering quality, continuously raising the bar on code, systems, and architecture.
Set standards for testing within the team — ensuring all changes are fully validated through unit, integration, end-to-end, and manual testing.
Improve build health by working with DevOps to ensure deployment automation and test infrastructure in CI/CD workflows.
Lead with a security-first mindset — owning the integrity of systems handling sensitive data or business logic.

Requirements:

Expertise in full-stack or backend development; familiarity with modern front-end stacks is a plus.
Proficient in one or more modern languages and frameworks (e.g., TypeScript, Java, Python, PHP), preferably Python and Typescript.
Deep experience with AWS; expected to design cloud-native systems, make architectural trade-offs, optimize for cost and scale, and guide team-wide adoption of cloud best practices.
Proven track record of leading complex technical projects and making architectural decisions.
Strong understanding of system design, distributed systems, and performance optimization.