Senior Lead Engineer - Golang

Job Requirements

Key areas of responsibility

We are looking for a seasoned Technical Lead to lead our DataHub initiatives. In this role, you will act as a technical coach and domain expert, driving excellence in software development, high-throughput messaging, and cloud-native architecture. You will be responsible for setting quality goals, mentoring engineering teams, and ensuring the seamless integration of complex data systems with a quality-first mindset.

Leadership & Coaching: Act as the technical authority for the DataHub domain; mentor engineers and ensure the application of best practices and high coding standards in Golang.

Architecture & Design: Design and extend distributed architectures using NATS for real-time messaging and Kubernetes for orchestration.

Performance & Reliability: Analyze and optimize application performance; leverage strong analytical skills to diagnose and resolve complex system bottlenecks.

Operational Excellence: Implement automated testing, data validation, and CI/CD pipelines using Git/GitHub. Ensure high reliability in a containerized environment.

Business Alignment: Combine technical expertise with business acumen to work closely with Product Managers and stakeholders, shipping features that align with strategic user needs.

Required Technical Skills

Core Engineering: Expert proficiency in Golang, high-performance concurrent programming, and RESTful API design.

Orchestration & Cloud: Deep hands-on experience with Kubernetes (K8s), including deployment patterns, scaling, and container security.

Messaging & Streaming: Proficiency in NATS or similar high-performance messaging systems for distributed architectures.

DevOps & Versioning: Advanced expertise in Git/GitHub workflows, branching strategies, and automated CI/CD integration.

Architecture: Expert in microservices patterns, distributed systems design, and scalable cloud-native infrastructure.

Soft Skills: Strong analytical, problem-solving, and communication skills to bridge the gap between technical teams and business leadership

Work Experience

• 8 - 13 years of experience in full-lifecycle software engineering and system architecture.
• Proven track record of building and maintaining production-grade Kubernetes environments.
• Quality-first mindset with a focus on test-driven development and robust system monitoring.
• Ability to identify technical risks early and develop strategic mitigation plans.
• Strong business acumen with the ability to translate complex technical concepts into actionable business insights.