Talent.com
Go Developer

Go Developer

ConfidentialPune, India
4 days ago
Job description

About the Role

Senior Go Developer to design, build, and operate high-performance Go-based microservices, deployed on Kubernetes, and integrate AI / ML models into production systems in collaboration with Data Science / ML teams.

Key Responsibilities

  • Design & Development
  • Architect, design, and implement microservices in Go following best practices (clean code, SOLID principles, hexagonal / clean architecture when appropriate).
  • Build robust, scalable, and secure APIs (REST / gRPC) for internal and external consumers.
  • Collaborate with Data Scientists / ML Engineers to integrate AI / ML models into production services (model serving, feature pipelines, inference endpoints).
  • Write high-quality, testable, and maintainable code, including unit, integration, and contract tests.
  • Microservices & System Architecture
  • Decompose monoliths or larger systems into well-bounded microservices with clear ownership and interfaces.
  • Design and implement inter-service communication (gRPC, REST, messaging / streaming) with an eye on latency, reliability, and observability.
  • Contribute to the overall system architecture, including data flows, API design, and integration with external systems.
  • Kubernetes & Cloud-Native Operations
  • Containerize applications (Docker or similar) and define Kubernetes manifests / Helm charts for deploying services.
  • Collaborate with the DevOps / SRE team to ensure services are resilient, observable, and autoscalable in Kubernetes.
  • Implement and maintain monitoring, alerting, and logging (e.g., Prometheus, Grafana, OpenTelemetry, ELK, etc.).
  • Participate in performance tuning, load testing, and capacity planning for production workloads.
  • AI / ML Integration.
  • Work with ML teams to operationalize models :
  • Model inference services
  • Feature preprocessing in real-time
  • Batch / offline inference pipelines
  • Ensure latency, scalability, and reliability of AI / ML-driven microservices.
  • Help define and implement A / B testing, canary deployments, and monitoring for model performance and drift (in collaboration with ML team).
  • Technical Leadership & Collaboration
  • Act as a technical mentor to mid-level and junior developers (code reviews, pair programming, design reviews).
  • Contribute to and help enforce engineering standards, coding guidelines, and best practices.
  • Participate in architecture and technical roadmap discussions, providing input based on hands-on experience.
  • Collaborate closely with Product Managers to refine requirements into technical solutions and clear delivery plans.
  • Quality, Security & Reliability
  • Champion test-driven development (TDD) and / or robust testing strategies.
  • Ensure solutions adhere to security best practices (authentication, authorization, data protection, secrets management).
  • Contribute to incident response and post-mortems, and drive improvements to prevent recurrence.

Technical Skills :

  • 5+ years of professional software development experience, with 3+ years focused on Go (Golang).
  • Goroutines and channels (concurrency patterns)
  • Context usage and cancellation
  • Error handling patterns
  • Modules and dependency management
  • Experience building high-performance backend services and APIs (REST, gRPC).
  • Microservices & Distributed Systems
  • Hands-on experience designing and implementing microservice architectures.
  • Understanding of service discovery, API gateways, load balancing, and fault tolerance patterns (circuit breakers, retries, backoff, rate limiting).
  • Solid grasp of distributed systems concepts : eventual consistency, idempotency, transactions across services, etc.
  • Kubernetes & Cloud
  • Practical experience deploying, running, and debugging applications on Kubernetes (e.g., GKE, EKS, AKS, or self-managed clusters).
  • Familiarity with :
  • Writing / understanding Kubernetes manifests (Deployments, Services, ConfigMaps, Ingress, etc.)
  • Containerization with Docker or equivalent
  • CI / CD pipelines for building and deploying Go services
  • Experience with at least one major cloud provider (AWS, GCP, Azure, etc.).
  • AI / ML Concepts (for Integration)
  • Understanding of basic ML concepts : training vs. inference, features, model versions, evaluation metrics.
  • Experience integrating machine learning models into applications or microservices (using frameworks, REST endpoints, or libraries).
  • Familiarity with patterns like
  • Online / real-time inference (You don't need to build models from scratch, but you should be able to collaborate effectively with ML teams and design production-ready integration.)
  • Batch inference
  • Feature engineering pipelines
  • Data & Storage
  • Strong experience with relational databases (e.g., PostgreSQL, MySQL) and SQL.
  • Familiarity with NoSQL / datastores (e.g., Redis, MongoDB, DynamoDB, etc.).
  • Understanding of caching, message queues / streaming (e.g., Kafka, RabbitMQ, NATS, etc.).
  • Testing, Observability & Tooling
  • Experience with testing in Go (testing package, mocks, integration tests).
  • Familiarity with observability tools : metrics, logging, tracing (e.g., Prometheus, Grafana, Jaeger,
  • OpenTelemetry).
  • Experience using Git and standard development workflows (code review, branching strategies).
  • Soft Skills
  • Strong communication skills : able to explain complex technical topics to both technical and non- technical stakeholders.
  • Ownership mindset : you care about the entire lifecycle of the service – from design and implementation to deployment and monitoring.
  • Mentorship and leadership capabilities : willing to support, guide, and challenge peers constructively.
  • Comfortable working in an agile environment (Scrum / Kanban), with iterative delivery and continuous improvement.
  • Problem-solving and critical thinking : you enjoy digging into complex issues and finding pragmatic solutions.

    • Skills Required

    Golang, Distributed Systems, Postgresql, Dynamodb, Prometheus, Go, Kafka, Grafana, Redis, Microservices, GRPC, Rabbitmq, Git, Rest, Gcp, Docker, Mysql, Mongodb, Azure, Kubernetes, Aws

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