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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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.