The Project:
You will work on a live, high-load fleet management platform that connects tens of thousands of vehicles across enterprise fleets worldwide — processing real-time telemetry, powering mobile apps used by drivers and technicians on the ground, and integrating with hardware, firmware, and 20+ data partners. The system runs 24/7, handles genuine scale, and the work is a mix of complex new features, infrastructure modernisation, and keeping production rock-solid. If you want a project where the data is real, the stakes are real, and the engineering problems are interesting — this is it.
The Stack:
The platform is a multi-tenant SaaS solution for enterprise fleet management — built on a microservices architecture running on AWS across multiple accounts and environments, processing continuous telemetry streams from connected vehicles, and serving web, mobile, and third-party consumers through a set of REST and event-driven APIs. The backend is Python/Django and Golang, the frontend is React, mobile is native iOS (SwiftUI) and Android (Kotlin), and the infrastructure runs on EKS with Terraform-managed IaC, Jenkins/GitHub Actions CI/CD, and a full observability stack (Prometheus, Grafana, Elastic APM, PagerDuty on-call).
What you will do:
- Own and maintain CI/CD pipelines, infrastructure automation, and production platform reliability
- Support and improve AWS-based environments across multiple accounts and services
- Manage and optimize Docker Swarm environments; support EKS/Kubernetes-related activities when required
- Participate in on-call support rotations, incident response, troubleshooting, and root cause analysis activities
- Maintain observability and incident management tooling, including monitoring, alerting, logging, and operational support processes
- Collaborate closely with Backend, Frontend, and Mobile Leads to support reliable delivery and release operations
- Support infrastructure modernization, migration, and operational improvement initiatives
- Ensure platform security, vulnerability scanning, secrets management, and operational compliance practices
- Improve deployment stability, operational efficiency, and environment standardization through Infrastructure as Code and automation
- Contribute to architecture and operational decisions related to scalability, availability, and system reliability
Requirements:
- 10+/8+ years in DevOps / Platform Engineering / SRE roles
- Advanced AWS production experience across multiple services and environments
- Strong CI/CD ownership — Jenkins, GitHub Actions, deployment automation, rollback strategies
- Infrastructure as Code — Terraform, Packer, Ansible
- Strong Docker and container orchestration experience; EKS/Kubernetes required
- Strong Linux, networking, DNS, TLS, and cloud infrastructure fundamentals
- Hands-on monitoring and incident management experience using Prometheus, Thanos, Grafana, Elastic Stack/APM, CloudWatch, PagerDuty
- Experience supporting high-availability production systems with strict SLA/SLO targets
- PostgreSQL, Redis, DynamoDB operational knowledge
- Kafka operational experience, preferably Amazon MSK
- Security scanning and DevSecOps practices — SonarQube, Trivy, Gitleaks, Dependabot
- Familiarity with backend-heavy environments based on Python
Will be a plus:
- Experience working in distributed international engineering teams across multiple regions is highly preferred
- Experience supporting mobile delivery pipelines and Firebase ecosystem
- Familiarity with backend-heavy environments based on Django, Golang, Node.js, and React ecosystems
- Infrastructure modernization and migration experience
- OpenSearch operational experience
- Experience supporting large-scale distributed systems and real-time data platforms
