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