Staff Software Engineer, Full Stack

About Us

About The Role

Key Responsibilities

• Lead the design and development of core platform services, APIs, frontend applications, dashboards, and internal tools
• Build full stack solutions across backend systems, user experiences, workflow logic, and integrations
• Use AI tools to accelerate design, coding, testing, debugging, documentation, prototyping, and delivery
• Design orchestration and workflow logic across services, vendors, business processes, and external systems
• Drive integration architecture with third party platforms, enterprise systems, identity providers, financial systems, and other external servicesPartner closely with product, design, security, business, and engineering teams to translate requirements into scalable technical solutions
• Think end to end across product, user experience, architecture, delivery, operations, and long term maintainability
• Define and improve engineering standards for architecture, code quality, testing, observability, security, and operational excellence
• Mentor engineers and help raise the team’s AI native engineering practices
• Contribute to long term platform strategy, including build versus buy decisions, extensibility, and maintainability

Minimum Qualifications

• 8+ years of software engineering experience, with strong experience building and operating production systems
• Experience working at senior or staff level on complex distributed platforms
• Strong full stack engineering background across backend systems and frontend applications
• Strong backend development experience in one or more languages such as Java, Go, Python, or Node.js
• Experience with modern frontend frameworks such as React, Next.js, or similar
• Deep experience with service oriented or microservices based architectures
• Strong understanding of API design, event driven systems, workflow orchestration, and distributed systems patterns
• Hands on experience integrating with third party systems and external APIs in reliable, secure, and scalable ways
• Experience with cloud platforms such as AWS, Azure, or GCP, along with containerized deployment patterns
• Strong understanding of security, reliability, resilience, observability, and performance at scale
• Ability to use AI tools effectively as part of the software development lifecycle, including coding assistants, prototyping, automated test generation, documentation support, design exploration, and productivity acceleration
• Strong product sense and ability to think beyond assigned tickets toward customer outcomes, platform value, and business impact
• Ability to navigate ambiguity, drive clarity, make sound architectural tradeoffs, and operate with high ownership and accountability

Preferred Qualifications

• Experience building AI assisted or AI enabled products, developer tools, internal platforms, agentic workflows, or automation systems
• Experience using AI tools such as Cursor, GitHub Copilot, Claude, Lovable, Replit, or similar tools to accelerate real software delivery
• Experience in regulated domains such as fintech, digital platforms, enterprise software, or other compliance sensitive environments
• Experience with workflow and orchestration engines such as Temporal, Zeebe, Camunda, or similar
• Familiarity with identity, access management, auditability, and policy driven systems
• Experience with integration heavy platforms involving multiple providers, vendors, or enterprise dependencies
• Exposure to modern platform engineering practices, internal developer platforms, or reusable shared services
• Strong engineering leadership, mentorship, and ability to raise the bar for technical quality and execution

How To Apply