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)
Cloud Platform Engineer governing AWS and GCP infrastructure for Supabase’s open - source developer platform. Building secure IaC, self - service tooling, and operational primitives for distributed engineering teams.
Cloud Architect designing and building a manufacturing software company’s first cloud - hosted SaaS product. Owning data pipelines, infrastructure, security, and customer - facing reporting end to end.
Cloud Developer Intern building cloud - native infrastructure and remote workflows for CM Labs’ Vortex Studio simulation platform. Developing APIs, deployment automation, orchestration, and simulation data pipelines.
Oracle Fusion Cloud Developer building integrations, reports, and data migrations for ALS, a global scientific testing company. Supporting secure enterprise systems across North America.
Senior Consultant driving cloud sales support, operations, analytics, and process improvement for BDO Canada. Advising teams and clients on Microsoft 365, Azure, Dynamics 365, and CSP services.
Staff Cloud Engineer leading secure, automated cloud platforms for Kinaxis’s AI - powered supply - chain orchestration. Improving CI/CD, infrastructure, and self - service delivery with Kubernetes, Terraform, and multi - cloud technologies.
Cloud Engineer designing and automating AWS infrastructure for Euna Solutions' public - sector SaaS products. Managing reliability, security, compliance, and cloud costs across product lines.
Technical Director leading Azure cloud, DevOps, and Agentic AI transformation for Valtech, an experience innovation company. Guiding enterprise modernization, architecture, delivery, and engineering teams.
Directeur technique chez Valtech, entreprise d’innovation et d’expérience digitale. Pilotage de plateformes Azure, solutions d’IA agentique et transformation Cloud & DevOps au Canada.