Senior Go Engineer

Role Overview

We are looking for a Senior Go Engineer to build scalable backend services and cloud-based platform systems in the networking and security domain. The role combines backend engineering, network infrastructure expertise, and modern agentic AI-driven development practices to deliver production-grade distributed systems.

REQUIRES IMMEDIATE JOINERS (15 DAYS NOTICE)

Must-Have Skills (Strict – Non-Negotiable)

Backend Engineering (Go)

• Should have 8+years of experience
• Relevant 5+ years (Go Lang) of professional software engineering experience in backend, cloud, network, or infrastructure systems
• Strong hands-on experience with Go / Golang for building scalable backend services
• Experience building RESTful APIs and service-to-service communication
• Strong understanding of microservices architecture and distributed systems

Networking & Security Fundamentals

• Strong knowledge of:
• TCP / UDP / DNS
• Load balancing and protocol analysis
• HTTP / HTTPS / TLS and secure communication
• Hands-on experience with network infrastructure and system-level troubleshooting
• The candidate must have worked for last couple of years on networking domain-based projects. So, they must have strong familiarity with technologies like:
• TCP/IP networking
• UDP
• DNS
• HTTP/HTTPS
• IP addressing and subnetting etc.

Cloud & Platform Engineering

• Hands-on experience with AWS services (EC2, ECS, Route53, S3, DynamoDB, Lambda, ASGs)
• Experience with:
• Docker & Kubernetes
• Virtual machines and cloud platforms
• Strong experience with Infrastructure as Code (Terraform / Ansible)

Systems & DevOps Practices

• Strong Linux experience (troubleshooting, runtime diagnostics)
• Experience with CI/CD pipelines (Jenkins, CodePipeline, etc.)
• Experience with monitoring & observability (Prometheus, Grafana)
• Proficiency in Bash/scripting for automation
• Understanding of testing methodologies, regression testing, and production support

Good-to-Have Skills

Agentic AI & Modern Engineering

• Experience designing agentic AI systems, including:
• Goal-driven, multi-step workflows
• Reusable agent skill development
• Agent orchestration via MCP or similar tools
• Strong proficiency in:
• LLMs and prompt engineering
• Structured output generation and validation
• Experience implementing:
• AI system evaluation (quality gates, monitoring)
• Reliability and cost optimization strategies
• Experience with:
• Python for automation or tooling
• Advanced observability improvements (alerting, logging, monitoring optimization)
• Experience designing or operating:
• Secure and scalable network infrastructure
• Kubernetes-based service deployments and troubleshooting
• Exposure to:
• Hybrid cloud / OpenStack environments
• Cloud networking, routing, firewall policies, traffic flows
• Familiarity with modern web technologies (adjacent systems)

Bonus / Nice-to-Have (Domain Depth / Edge Differentiators)

• Experience with network security or cloud security platforms
• Certifications:
• AWS / Azure / GCP
• Networking certifications (CCNA, CCNP, etc.)
• Strong interest in:
• Distributed systems trends
• Cloud infrastructure evolution