Senior Go Engineer (Cloud)

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) Should have 8+years of experienceRelevant 5+ years (Go Lang) of professional software engineering experience in backend, cloud, network, or infrastructure systemsStrong hands-on experience with Go / Golang for building scalable backend servicesExperience building RESTful APIs and service-to-service communicationStrong understanding of microservices architecture and distributed systemsNetworking & Security Fundamentals Strong knowledge of: TCP / UDP / DNSLoad balancing and protocol analysisHTTP / HTTPS / TLS and secure communicationHands-on experience with network infrastructure and system-level troubleshootingThe 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 networkingUDPDNSHTTP/HTTPSIP addressing and subnetting etc.Cloud & Platform Engineering Hands-on experience with AWS services (EC2, ECS, Route53, S3, DynamoDB, Lambda, ASGs)Experience with: Docker & KubernetesVirtual machines and cloud platformsStrong 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 automationUnderstanding of testing methodologies, regression testing, and production supportGood-to-Have Skills Agentic AI & Modern Engineering:o Experience designing agentic AI systems, including:Goal-driven, multi-step workflowsReusable agent skill developmentAgent orchestration via MCP or similar toolsStrong proficiency in: LLMs and prompt engineeringStructured output generation and validationExperience implementing: AI system evaluation (quality gates, monitoring)Reliability and cost optimization strategiesExperience with: Python for automation or toolingAdvanced observability improvements (alerting, logging, monitoring optimization)Experience designing or operating: Secure and scalable network infrastructureKubernetes-based service deployments and troubleshootingExposure to: Hybrid cloud / OpenStack environmentsCloud networking, routing, firewall policies, traffic flowsFamiliarity with modern web technologies (adjacent systems)Bonus / Nice-to-Have (Domain Depth / Edge Differentiators) Experience with network security or cloud security platformsCertifications: AWS / Azure / GCPNetworking certifications (CCNA, CCNP, etc.)Strong interest in: Distributed systems trendsCloud infrastructure evolution .