Software Engineer III - Tech Lead (Golang)

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Are you a technically fearless engineer-leader who sees AI not as a buzzword but as a *different way of thinking* — one that reshapes how teams design, build, and deliver software? Do you thrive at the intersection of architecture, data, and human-centered product delivery?

As Tech Lead (TL) embedded in a high-performing, cross-functional delivery squad at TD, you will be the technical heartbeat of the team — defining architecture, setting engineering standards, mentoring engineers, and being the first voice in the room when a new feature touches system integration, security, or data — all while championing an AI-native mindset that continuously pushes the team to work smarter, not just harder.

This is not a purely hands-off role. You write code, you review PRs, you pair with engineers on hard problems, and you represent the team's technical voice in planning ceremonies and cross-team dependency conversations.

• Serve as the Solution Architect / Tech Lead (SA/TL) for the delivery squad — the final technical authority for all design decisions within the team
• Design and own end-to-end system architecture including API contracts, service/repository layers, data models, and integration patterns between Go backend, React frontend, and PostgreSQL
• Lead architecture reviews at the start of every new feature involving system integration, new components, or external dependencies — before a single line of code is written
• Produce architectural artifacts: sequence diagrams, component diagrams, ADRs (Architecture Decision Records), and API specifications
• Evaluate and articulate trade-offs between competing architectural approaches, balancing velocity, maintainability, security, and cost
• Define and enforce coding standards, branching strategies, and CI/CD pipeline quality gates across the team

• Champion an AI-native engineering culture — not just tooling adoption, but a fundamentally different problem-solving approach: using AI to augment requirements analysis, code generation, test automation, anomaly detection, and decision support
• Leverage large language models and generative AI APIs to build intelligent features — including natural language query interfaces, intelligent summarization, and document understanding pipelines
• Integrate AI-powered developer tooling into the team's SDLC to accelerate delivery without sacrificing quality
• Prototype and evaluate LLM-based solutions for business problems; present build-vs-buy-vs-integrate recommendations to stakeholders
• Continuously scan the AI landscape and bring forward concrete, scoped proposals for how emerging capabilities can be applied to the product domain

• Design and operate cloud-native workloads on Google Kubernetes Engine (GKE) — including cluster configuration, workload autoscaling, resource quotas, and deployment strategies
• Architect data storage and retrieval solutions using Google Cloud Storage (GCS), including lifecycle policies, IAM bindings, and integration patterns with backend services
• Build and maintain BigQuery data pipelines and reporting views for analytics and executive dashboards
• Leverage Cloud Run, Pub/Sub, Cloud Scheduler, and Secret Manager to build event-driven, serverless-adjacent features where appropriate
• Manage infrastructure as code using Terraform for GCP resource provisioning and environment parity across dev/staging/prod

• Collaborate with the Security / BISO role on any feature involving authentication, authorization, sensitive data, financial data, or external integrations — security review is mandatory before release

• Validate authentication/authorization implementations against TD security standards and OWASP Top 10

• Ensure all AI/ML integrations comply with TD's responsible AI framework and data residency requirements

• Participate actively in SAFe delivery ceremonies — PI Planning, System Demos, Inspect & Adapt — as the technical representative for the team
• Identify and surface cross-team technical dependencies to the Release Train Engineer (RTE) early; co-own resolution
• Partner with the Product Owner (PO) before development starts on any feature or epic to ensure technical feasibility, effort accuracy, and risk visibility
• Work with the Business Analyst (BA/BSA) to decompose requirements into technically sound, testable stories with clear acceptance criteria
• Mentor and grow engineers within the team through pairing, code review, design critique, and knowledge-sharing sessions
• Prioritize and manage own workload to deliver quality results on sprint timelines while unblocking teammates

Critical Skills and Qualifications

Must Havehat We're Looking For

We are not looking for someone who has taken an AI certification course. We are looking for someone who:

•Thinks differently because of AI — approaches problems by asking "what if we didn't have to code this?" or "what if the system could reason about this itself?"

•Has shipped at least one AI-powered feature into production and learned hard lessons from it

•Can evaluate AI claims critically — knows when a model is hallucinating, understands latency/cost trade-offs, and can right-size AI involvement to the actual problem

•Brings concrete proposals, not abstractions — "here is an AI-powered feature we could ship in Sprint 3" vs. "we should leverage AI"

• Undergraduate degree in Computer Science, Software Engineering, or equivalent technical discipline
• 7+ years of relevant software engineering experience, with at least 3 years in a tech lead or architect capacity
• Demonstrated experience designing and shipping production systems on Google Cloud Platform
• Hands-on experience integrating LLM/generative AI APIs into production applications
• Preferred: experience with Databricks and PySpark at enterprise scale
• Preferred: experience in financial services or regulated industries (data governance, audit trails, compliance requirements)

You’ll be expected to work primarily onsite at a TD location for meetings, team events and experiences. The hiring manager will provide more information about how this works for their team.

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.