Senior Software Engineer to design, develop, and support cloud-native applications and data

Duration: Until December 15,

Location: Hybrid (primarily remote; anticipated onsite 1–2 days per quarter, Toronto or Wtaerloo)

As a Senior Software Engineer, this candidate will design, develop, and support modern cloud-native applications and data solutions on AWS. You will work across software engineering, data platforms, and DevOps practices to deliver scalable, secure, and reliable solutions. The role involves hands-on development, automation, troubleshooting, and collaboration with cross-functional teams.

Must Haves

• Python — primary development language; essential per manager
• AWS — S3, Lambda, EventBridge, SQS, API Gateway, serverless fundamentals
• Git/Bitbucket — source control, branching strategies, code collaboration
• Jenkins & CI/CD — build automation, pipelines, GitHub Actions, GitLab CI/CD, Harness
• Core Engineering Experience —
• 2–5 years in software engineering, DevOps, or application development
• Experience developing in Python and/or Java
• Participation in code reviews and applying best practices
• Agile & Collaboration Tools —
• Scrum/Kanban: Strong understanding of Agile methodologies and experience working within Scrum or Kanban teams
• Jira & Confluence: Experience with Jira and Confluence for planning, tracking, and collaboration.
• Modern Architecture & Development Concepts —
• Distributed systems, APIs, microservices: Understanding of distributed systems, APIs, event-driven architectures, and microservices design principles.
• Event‑driven architectures
• Infrastructure‑as‑code fundamentals: Familiarity with infrastructure-as-code, configuration management, and automation concepts
• Modern web frameworks (React, Angular, Vue, Preact, or similar technologies)
• AI‑assisted development tools (GitHub Copilot, Claude Code)

Nice to Have

• Terraform — infrastructure-as-code, automation, provisioning
• Snowflake — RBAC, masking, SQL fundamentals, data warehouse experience
• AWS Lambda — serverless compute, event-driven workflows
• AWS Data & Analytics Services — Glue Catalog/ETL, Lake Formation, Athena, SageMaker
• Cloud-Native & Event-Driven Architecture — building distributed, serverless, or event-driven applications on AWS
• Containerization & Orchestration — Docker, Kubernetes
• AWS Security & Governance — IAM, encryption, access management
• Quality, Observability & DevOps Practices — TDD, unit/integration testing, monitoring, logging, SRE/Platform Engineering exposure
• Certifications — AWS, Terraform, or related cloud certifications

Roles

Role 1 – Snowflake Platform & AI/FinOps Enablement

This role supports the Managed Snowflake Platform Team, which owns Snowflake onboarding and platform operations for internal clients. Work includes:

• Cortex AI enablement and governed model RBAC
• FinOps chargeback and AI/serverless cost attribution
• Collibra‑integrated data governance (autoclassification, lineage, metadata sync)
• Migration of onboarding portal → standalone admin API/Lambda service
• Governed OpenFlow RDBMS integration
• Standardized dbt‑on‑Snowflake operating model

Nice-to-have skills (highly valued): Terraform, Snowflake, Lambda

Role 2 – Data Control Plane (No Snowflake/Terraform Required)

This role supports the Data Control Plane Team, which manages ingestion and governance of data entering data lake and data warehouse environments.

• Primarily S3-based ingestion
• Some Postgres usage
• General data onboarding and environment support

This role does NOT require Snowflake or Terraform experience.

Responsibilities:

• Analyze, investigate, and recommend solutions to improve processes, enhance operational efficiency, identify pain points, and optimize development workflows.
• Contribute to the creation and maintenance of technical documentation, standards, reusable frameworks, and implementation templates.
• Collaborate effectively with cross-functional teams using Agile methodologies to plan, develop, test, and deliver software solutions.
• Utilize Jira and Confluence to manage work, track progress, document requirements, and support team collaboration.
• Implement and follow source control best practices using Git, Bitbucket, and modern branching strategies such as GitFlow and Trunk-Based Development.
• Design, develop, test, and maintain software applications using Python and Java.
• Participate in code reviews to ensure code quality, maintainability, security, and adherence to engineering standards.
• Support and improve CI/CD pipelines using tools such as Jenkins and GitLab CI/CD.
• Assist with infrastructure automation, provisioning, and configuration management using tools such as Terraform and Ansible.
• Contribute to the design and implementation of distributed systems and microservices-based applications.
• Work with cloud-native technologies and AWS services to build scalable, reliable, and secure solutions.
• Troubleshoot production issues, perform root cause analysis, and implement preventive solutions.
• Partner with team members to promote engineering best practices, knowledge sharing, and continuous improvement.
• Collaborate with stakeholders to translate business requirements into technical solutions and implementation plans