Senior Developer

The Opportunity:

Tetra Tech is adding a Senior Developer to our Digital and Geospatial team based in Vancouver, BC. 

Why Tetra Tech:

At Tetra Tech, we are Leading with Science™ to solve the world’s most complex challenges. Our industry-leading experts in engineering and consulting are committed to driving positive change in communities around the world. For over 50 years, we have been at the forefront of innovation and sustainability. Today we stand as a market leader, offering cutting-edge solutions in water, environment, energy, and international development. Our work has improved more than 500 million lives around the world.

Your Impact:

Join Tetra Tech to make a real difference. Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class scientists and engineers to create meaningful change around the world. Discover your full potential – join us to advance your career while leaving a lasting legacy.

The salary range for this position is $120,000 - $150,000 per annum. Please note that Tetra Tech considers various factors in determining pay, including but not limited to: education, relevant and demonstrated work experience in the role, skills, geographic location, qualifications, certifications, and other competencies relevant to the needs of the business.
 

Your Role:

• Lead design and delivery of scalable full‑stack geospatial and AI applications using TypeScript/Node.js and Python.
• Define and enforce coding standards, documentation, version control and CI/CD best practices.
• Mentor and coach junior/intermediate developers; conduct code reviews and drive team technical growth.
• Operate and improve CI/CD pipelines and deployments in Microsoft Azure (AKS, Blob Storage, DevOps).
• Audit and modernize legacy codebases; create roadmaps for architectural and performance improvements.
• Integrate closely with GIS analysts, data engineers and ML specialists to ensure reliable data workflows.
• Work with PostgreSQL/PostGIS, GeoServer, Mapbox, QGIS/ArcGIS and spatial data pipelines.
• Champion containerization (Docker/Kubernetes), automated testing, and observability practices.
• Hands‑on role combining coding, architecture, and people leadership — strong opportunity to shape our platform.
• Hybrid/remote‑friendly — competitive salary and benefits; relocation support available where applicable.
• Conduct activities in line with internal procedures, legislation, and industry standards.
• Pursue continuous professional development and maintain a high degree of discipline knowledge and awareness.
• Work in a safe manner at all times and report all health and safety incidents and concerns.
• Additional duties as required.
   

Qualifications:

• 7+ years professional software development experience, including 2+ years in a senior/lead role.
• Proven track record introducing engineering best practices and improving team delivery.
• Strong TypeScript/Node.js and Python experience with production‑grade microservices (Docker).
• Solid CI/CD and Git workflows experience; hands‑on with automated testing and deployment.
• Experience with geospatial/data‑intensive systems (PostGIS, spatial APIs, GDAL) and scalable architectures.
• Experience architecting and deploying in Azure (AKS, Blob Storage, Azure DevOps); container orchestration experience.
• Demonstrated mentorship and people‑lead skills; excellent written and verbal communication.
• Able to work independently and make pragmatic technical decisions with senior oversight.

Assets:

• DevOps / Cloud Infrastructure / Data Engineering — Hands‑on experience building and operating CI/CD pipelines, infrastructure as code (e.g., Terraform/ARM/Bicep), observability/monitoring, and container orchestration (Kubernetes). Ability to collaborate with SRE/infra teams to scale production systems and optimize data pipelines.
• AI / ML / Spatial ML proficiency — Practical experience building, training or productionizing ML models using TensorFlow, PyTorch or scikit‑learn, ideally applied to spatial problems (e.g., imagery classification, segmentation, spatial feature engineering). Familiarity with model training pipelines, model serving, and MLOps concepts is an advantage.
• Geospatial visualization & mapping stacks — Proven experience with 3D/interactive visualization libraries (Cesium, Potree, deck.gl) and geospatial servers/stacks (PostGIS, GeoServer, Mapbox, tile pipelines). Comfortable optimizing rendering performance and integrating mapping SDKs in web applications.