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.
Must-Have Skills (Strict – Non-Negotiable)
Backend Engineering (Go)
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Should have 8+years of experience
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Relevant 5+ years (Go Lang) of professional software engineering experience in backend, cloud, network, or infrastructure systems
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Strong hands-on experience with Go / Golang for building scalable backend services
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Experience building RESTful APIs and service-to-service communication
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Strong understanding of microservices architecture and distributed systems
Networking & Security Fundamentals
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Strong knowledge of:
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TCP / UDP / DNS
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Load balancing and protocol analysis
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HTTP / HTTPS / TLS and secure communication
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Hands-on experience with network infrastructure and system-level troubleshooting
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The candidate must have worked for last couple of years on networking domain-based projects. So, they must have strong familiarity with technologies like:
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TCP/IP networking
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UDP
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DNS
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HTTP/HTTPS
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IP addressing and subnetting etc.
Cloud & Platform Engineering
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Hands-on experience with AWS services (EC2, ECS, Route53, S3, DynamoDB, Lambda, ASGs)
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Experience with:
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Docker & Kubernetes
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Virtual machines and cloud platforms
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Strong experience with Infrastructure as Code (Terraform / Ansible)
Systems & DevOps Practices
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Strong Linux experience (troubleshooting, runtime diagnostics)
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Experience with CI/CD pipelines (Jenkins, CodePipeline, etc.)
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Experience with monitoring & observability (Prometheus, Grafana)
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Proficiency in Bash/scripting for automation
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Understanding of testing methodologies, regression testing, and production support
Good-to-Have Skills
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Agentic AI & Modern Engineering:
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o Experience designing agentic AI systems, including:
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Goal-driven, multi-step workflows
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Reusable agent skill development
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Agent orchestration via MCP or similar tools
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Strong proficiency in:
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LLMs and prompt engineering
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Structured output generation and validation
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Experience implementing:
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AI system evaluation (quality gates, monitoring)
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Reliability and cost optimization strategies
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Experience with:
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Python for automation or tooling
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Advanced observability improvements (alerting, logging, monitoring optimization)
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Experience designing or operating:
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Secure and scalable network infrastructure
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Kubernetes-based service deployments and troubleshooting
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Exposure to:
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Hybrid cloud / OpenStack environments
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Cloud networking, routing, firewall policies, traffic flows
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Familiarity with modern web technologies (adjacent systems)
Bonus / Nice-to-Have (Domain Depth / Edge Differentiators)
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Experience with network security or cloud security platforms
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Certifications:
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AWS / Azure / GCP
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Networking certifications (CCNA, CCNP, etc.)
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Strong interest in:
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Distributed systems trends
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Cloud infrastructure evolution
