7+ years of software development experience including 3+ years in leadership roles
Deep expertise in Java and modern front-end frameworks like Angular, React, or Vue
Experience with relational databases such as Oracle or Postgres, focusing on schema design and performance tuning
Knowledge of NoSQL databases (e.g., DynamoDB, MongoDB) and their appropriate use cases
Production experience with AWS across various services
Ability to design scalable and reliable systems with an understanding of operational trade-offs
Proven experience with AI tools in the software development lifecycle
Responsibilities
Lead and grow a geographically dispersed engineering team
Own architecture and system design for complex distributed systems
Collaborate with product and business leaders to align technical roadmaps
Drive execution against product and platform roadmaps
Enhance engineering practices focusing on code quality and operational excellence
Benefits
RRSP with employer matching
Paid Time Off
Extended health insurance, LTD, and life insurance
Employee Assistance Program
High-growth oriented environment with a results-driven team
Opportunity to create high-impact change for users globally
Full Job Description
Position Overview: Lead and grow a team of 5 to 10 engineers. Contribute hands-on by writing code, shipping features, and tackling complex problems alongside the team. Set the standard for advanced AI-assisted development by demonstrating it yourself every day. Build the skills, plugins, and systems that give the team real leverage. Define and roll out the AI tooling, workflows, and practices that transform how engineering operates. Own architecture and system design across the stack. Apply AI not only to how we build, but also to what we build, shaping product capabilities and extending into business processes beyond engineering. Partner with product and business leaders to translate strategy into a technical roadmap.
Success in this Role
AI adoption: engineers across the team are using AI tools effectively and consistently in their day-to-day work
Velocity: measurable, AI-driven increase in delivery speed (cycle time, deploy frequency, lead time for change)
Modernization: meaningful progress moving the platform off legacy patterns toward a modern, cloud-native architecture, accelerated by AI
Product and beyond: AI applied to the product itself and into wider business processes, with concrete shipped outcomes
Delivery: the team consistently ships on commitments against the product roadmap
Engineering excellence: best practices for AI-assisted development instilled across the team, including code review, testing, CI/CD, observability, and on-call discipline
What You'll Do
Essential Functions: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Key responsibilities
Leadership & Team Building: Lead and grow a team of 5 to 10 engineers across North America and India, fostering a high performance collaborative culture across time zones.
Technical Leadership: Own architecture and system design across the stack. Drive delivery of Brcomplex, distributed systems on AWS. Stay close enough to the code to make sharp technical calls and mentor engineers on craft.
Cross-Functional Impact: Partner with product and business leaders to translate strategy into technical roadmap. Drive alignment across teams and influence technical strategy.
Delivery & Execution: Own delivery against the product and platform roadmap. Improve engineering velocity through process, tooling and best practice.
Engineering Excellence: Raise the bar on code quality, testing, and operational excellence. Build strong observability and incident response practice. Leverage modern AI tools to improve productivity and quality.
What You'll Bring
Minimum Qualifications
Advanced, hands-on use of AI in the software development lifecycle: coding assistants, agentic workflows, custom tooling (skills, plugins, agents), code review, test generation. We expect you to demonstrate this live, not describe it in theory, and to show concretely how you've driven measurable gains for yourself and your teams
Experience rolling out tooling, practices, or ways of working to engineering teams, with the change management ability to make it stick
At least 7 years of software development experience, with 3+ years leading a team. This includes hiring, performance management, and developing senior engineers
Deep technical background in Java and Angular (or a comparable modern frontend framework such as React or Vue)
Solid experience with Oracle, Postgres, or similar relational databases, including schema design, performance tuning, and the hard parts
Working experience with NoSQL databases (e.g. DynamoDB, MongoDB, Cassandra) and a clear sense of when to reach for them
Production AWS experience across compute, networking, and data services
Ability to comprehend and contribute to systems design, including scalability, reliability, trade-offs, and failure modes
Preferred Qualifications
Experience modernizing legacy Java systems with AI assistance, building internal AI developer platforms, or measuring and publishing AI productivity impact.
Education
BSc/BA in Computer Science, Engineering, or related field.
