Tietoevry - Senior Golang Developer - Backend System

Description:

About the Role:

We are looking for a Senior Golang Developer who is passionate about building high-performance, scalable backend systems.

As part of our engineering team, youll play a key role in the design, development, and maintenance of our server-side architecture, APIs, and microservices.

You'll work on large-scale distributed systems, contribute to architectural decisions, and lead by example in adopting best practices in coding and DevOps.

This is a great opportunity for someone who thrives in a fast-paced environment and wants to work on modern cloud-native technologies using Go.

Key Responsibilities:

- Design and develop high-performance backend applications and microservices using Go (Golang).

- Develop and maintain RESTful APIs, RPC services, and backend infrastructure components.

- Optimize applications for performance, scalability, and reliability in cloud-native environments.

- Collaborate with frontend developers, DevOps engineers, product managers, and QA teams in an Agile/Scrum environment.

- Write clean, testable, and well-documented code following industry standards and best practices.

- Perform code reviews, mentor junior developers, and contribute to team knowledge sharing.

- Identify and resolve production issues, implement monitoring, logging, and alerting for critical services.

- Participate in system design discussions and influence architectural decisions.

- Contribute to CI/CD pipeline improvements and deployment automation.

Required Skills & Experience:

- Strong programming expertise in Go (Golang) minimum 3+ years hands-on.

- Solid understanding of concurrency, goroutines, and Go memory management.

- Experience building and maintaining RESTful APIs, gRPC, or GraphQL services.

- Experience with microservices architecture, event-driven systems, or message queues (e.g., Kafka, NATS, RabbitMQ).

- Familiarity with SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis.

- Strong understanding of software engineering principles, design patterns, and data structures.

- Experience with Docker, Kubernetes, and deploying applications to cloud platforms (AWS, GCP, or Azure).

- Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, or OpenTelemetry.

- Proficiency with Git and experience in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)

- Strong problem-solving skills and the ability to debug complex systems in production