Software Developer - Infrastructure

About the role

Geotab ® is a global leader in IoT and connected transportation and certified "Great Place to Work™." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it's like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram .

Responsibilities

• Specifically, you will:
• Manage mission-critical applications: Take real ownership over systems that matter-including the reverse proxy, the core API gateway, and the platform registry-where downtime is immediately noticed by a global fleet of connected vehicles.
• Modernize the platform: Help revolutionize the system by rebuilding core applications and services to run in Kubernetes.
• Collaborate and lead: Work closely with senior engineers across the company to help shape exactly how Geotab builds and operates infrastructure at scale.
• How you'll make an impact:
• We're in the middle of a major migration to Kubernetes, moving the most mission-critical services at Geotab into a modern, cloud-native architecture on the cloud. You'll have real ownership over systems that matter:
• Help migrate production services into Kubernetes - this involves both application and IaC code changes
• Build AI-enhanced observability and monitoring systems that keep 6B+ daily requests running reliably
• Design intelligent alerting that separates signal from noise - so on-call means resolving real problems, not chasing false positives
• Define and track SLIs and SLOs for the applications at the heart of the Geotab platform
• Build dashboards, runbooks, and automated tooling
• Participate in post-incident reviews (PIRs) to identify root causes, propose and implement systemic, long-term reliability improvements
• What you'll bring to the role:
• 2+ years of software development experience in C# or a comparable object-oriented language
• Hands-on Kubernetes experience - deploying workloads, debugging in production
• Cloud platform experience (GCP, AWS, or Azure)
• Strong Linux and distributed systems fundamentals
• Solid engineering practices: code review, testing, Git
• Solid grasp of core networking concepts, including load balancing, DNS, mTLS, and HTTP/S
• Observability tooling experience (Prometheus, Grafana, OpenTelemetry, or similar)
• Familiarity with SRE practices - SLOs, error budgets, toil reduction
• Experience operating systems at high scale (100M+ requests/day)
• PostgreSQL or SQL Server database experience
• Prior experience participating in an on-call rotation for mission-critical production systems
• Along with your resume, please include a brief cover letter (one page maximum) that answers the following two questions:
• What attracts you most to this specific role at our company?
• Describe a time you solved a complex problem relevant to this position.
• AI on Team Infrastructure
• We use AI heavily across our entire engineering workflow - writing and reviewing code, debugging production issues, drafting documentation, and building solutions faster than was possible befor

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