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 up-to-date cloud-native applications and data solutions on AWS.

You will work across software engineering, data platforms, and Dev

Ops 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, Event

Bridge, SQS, API Gateway, serverless fundamentals Git/Bitbucket — source control, branching strategies, code collaboration Jenkins & CI/CD — build automation, pipelines, Git

Hub Actions, Git

Lab CI/CD, Harness Core Engineering Experience — 2–5 years in software engineering, Dev

Ops, 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 (Git

Hub 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, Sage

Maker 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 & Dev

Ops Practices — TDD, unit/integration testing, monitoring, logging, SRE/Platform Engineering exposure Certifications — AWS, Terraform, or related cloud certifications Roles Role 1 – Snowflake Platform & AI/Fin

Ops 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 Fin

Ops chargeback and AI/serverless cost attribution Collibra‑integrated data governance (autoclassification, lineage, metadata sync) Migration of onboarding portal → standalone admin API/Lambda service Governed Open

Flow 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 Git

Flow 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 Git

Lab 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

📌 Senior Software Engineer to design, develop, and support cloud-native applications and data solutions using AWS, Python, and CI/CD pipelines - 1745 (Toronto)
🏢 S.i. Systems
📍 Toronto