Software Engineer Jobs

About The Position

Requirements

• 7+ years of experience in backend and/or full-stack software engineering
• Strong backend engineering experience with Python and frameworks such as FastAPI, Flask, Pyramid, or Django
• Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling
• Experience with cloud-native technologies such as AWS, Docker, and Kubernetes, and infrastructure as code
• Strong understanding of CI/CD, observability, and operating services in production
• Comfort working full-stack when the problem calls for it (TypeScript/React experience a plus)
• Ability to break down complex technical problems and deliver pragmatic, maintainable solutions
• Strong ownership mindset, with the ability to drive projects independently while collaborating effectively across teams
• Clear communication skills, with the ability to explain technical tradeoffs to engineering and cross-functional partners
• Hands-on experience with AI-native development tools (e.g., Cursor, Augment), and demonstrated AI Fluency: a deliberate point of view on when AI is (and isn't) the right tool, adapted code review practices for AI-generated code, and safeguards against over-reliance on AI tooling
• Bachelor's degree in Computer Science or equivalent work experience
• Hands-on experience building or integrating AI/LLM-powered systems in production (e.g., RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability)
• Comfort operating in ambiguous, fast-evolving technical territory where best practices and patterns are still being established

Nice To Haves

• Background in financial services or fintech
• Experience with API gateway/infrastructure, security & governance tooling, retrieval and data-access systems, or agent frameworks at production scale

Responsibilities

• Design, build, and ship production-quality systems, APIs, and services.
• Own projects end-to-end, from requirements translation to technical design, implementation, testing, deployment, and iteration.
• Build reliable, scalable, and observable systems that deliver customer value and enable other engineering teams.
• Own the production health of systems, including monitoring, troubleshooting, performance, reliability, and issue resolution.
• Build reusable infrastructure, frameworks, tooling, and developer experiences.
• Improve engineering velocity and operational quality through automation, documentation, and continuous improvements.
• Contribute to technical design for complex projects, evaluating tradeoffs and proposing pragmatic implementation plans.
• Partner with product, design, and engineering to translate requirements into well-designed technical solutions.
• Help identify and reduce technical debt, reliability risks, and friction in the software development lifecycle.
• Collaborate with Staff and senior engineers to establish reusable patterns and raise engineering standards.
• Participate in code reviews, design reviews, debugging, incident response, and operational support.
• Use agentic coding tools and AI-assisted development as a primary part of your workflow.
• Critically evaluate AI-generated code for correctness, edge cases, and regressions.
• Build or integrate AI/LLM-powered capabilities where they add real value.
• Contribute to the team's evolving practices around AI-accelerated development, testing, and code review.
• Work closely with product, design, QA, and cross-functional partners to meet timelines and align solutions to business goals.
• Provide clear, accessible technical context to both technical and non-technical stakeholders.
• Grow into a subject-matter expert with a deep understanding of the data, workflows, and customer needs specific to the AI Platform space.

Benefits

• Health, dental, and vision care for you and your family
• Life insurance
• Mental wellness coverage
• Fertility and growing family support
• Flex Time Off in addition to company-paid holidays
• Paid family leave, medical leave, and bereavement leave policies
• Retirement saving plans
• Allowance to customize your work and technology setup at home
• Annual professional development stipend