Project Description
We are transforming our fleet management platform and data processing infrastructure from a monolithic application to a modern, event-drivenmicroservicesarchitecture. This includes shifting from tightly coupled relational database to a scalable, multi-tenant event stream platform and Kubernetesoperatorsdevelopment.

Job Description

We are seeking an experiencedGo Backend Engineerto join the team responsible for transforming the platform into amulti-tenant, event-driven architecture. The ideal candidate has deep hands-on experience with Go microservices, distributed data flows, and Kubernetes-based deployments in cloud environments.

This role involves designing and developing backend services, integrating real-time messaging pipelines, ensuring high observability standards, and collaborating with platform, data, and DevOps teams.

Technical Requirements

• 5+ yearsof backend software development experience.

• Strong professional experience with Go (Golang).

• Practical experience designing or maintainingmicroservices.

• Experience withevent-driven messaging systemssuch asApache Pulsar(preferred), Kafka, or NATS.

• Hands-on knowledge ofKubernetes, including deployments, scaling, and configuration.

• Familiarity withcloud platforms(AWS, GCP, or Azure).

Cloud & Deployment

• Hands-on knowledge ofKubernetes, including deployments, scaling, and configuration.

• Practical experience withKubernetes operators, CRDs, Helm.

• Understanding ofcloud CI/CD systems and delivery pipelines (GitHub Actions).

Data

• Experience with PostgreSQL and Redis.

• Understanding ofData Engineering concepts, including ETL/ELT and streaming workflows.

Nice to Have

• Experience with C/C++ (networking, concurrency, high-performance systems).

• Experience with Python,especially fordata workflows.

• Experience with Ruby on Rails ecosystem.

• Experience designing and building multi-tenant data architectures.

• Experience implementing observability stacks (Prometheus, Grafana,OpenTelemetry).

Responsibilities

• Design, implement, andmaintainGo microservicespowering the data platform.

• Integrate services withApache Pulsar(or equivalent streaming tools) to support real-time data distribution.

• Ensureobservability and reliabilitythrough logging, metrics, and tracing.

• Deploy andmaintainservices inKubernetesenvironments across cloud platforms.

• Collaborate with Data Engineering, Platform, and DevOps teams during architecture and implementation stages.

• Participate in technical discussions, code reviews, and performance optimizations.