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Python Developer with Lamda AWS
LinkedIn Recruiter Post
Hiring Python Developer with AWS Lambda for full - time permanent role in Toronto, ON. Requires 10+ years experience in large - scale distributed systems.
About the role
- Senior Software Engineer designing and building core platform services for Mozilla's AI infrastructure. Collaborating with cross-functional teams to ensure efficient model deployment and operational excellence.
Responsibilities
- Design, build, and operate core platform services and APIs used to deploy and serve production workloads at scale.
- Own service reliability end-to-end, driving improvements in availability, scalability, performance, and operational excellence.
- Lead efforts to optimize backend services for throughput, latency, and cost efficiency across distributed infrastructure.
- Design and manage Kubernetes-based workloads, including GitOps deployment pipelines, environment configuration, and resource utilization optimization.
- Own and improve critical parts of the service lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation.
- Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of backend services and pipelines.
- Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable new product features.
- Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing.
- Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews.
Requirements
- Bachelor's degree with 4–6 years of relevant industry experience, or Master's degree with significant hands-on experience building and operating production systems, or work experience equivalent
- Strong, modern Python skills, with experience writing clean, maintainable code and working with a fast toolchain (dependency management, linting, formatting, type checks, pre-commit), building both libraries and CLIs that output structured data.
- Advance experience with database deployment and management, bonus points for familiarity with Postgres
- Proven experience deploying and operating workloads in cloud environments, including production-grade infrastructure on GCP and GKE (artifact registries, managed caches, networking and internal load balancing, VPC, DNS, and separation of nonprod and prod).
- Hands-on experience with Kubernetes and Helm, writing charts that deploy across environments with per-environment configuration and progressive feature rollout.
- Experience with Terraform for provisioning infrastructure across environments, including schema validation and PR-level plan review.
- Experience designing and running scalable APIs that hold up under load, including health and readiness checks, auth, and clean startup and shutdown.
- Experience with Grafana or similar tools for metrics, dashboards, and reading application and infrastructure health together during rollouts.
- Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems.
- Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams.
- On-call experience, including participating in incident response and post-incident reviews.
Benefits
- Generous performance-based bonus plans to all eligible employees - we share in our success as one team
- Rich medical, dental, and vision coverage
- Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
- Quarterly all-company wellness days where everyone takes a pause together
- Country specific holidays plus a day off for your birthday
- One-time home office stipend
- Annual professional development budget
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program
- Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
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