IFS Senior / Lead Backend Engineer (IGT1) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Senior / Lead Backend Engineer (IGT1) Full-time IFS Referral Bonus Code: SH Job Location: Hybrid Company Description About IGT1 IGT1 is a rapidly growing offshore technology and talent solutions company based in Port City Colombo. We are a fully owned subsidiary of IGT I Holdings Sweden AB, funded by the three of worlds leading private equity firms; EQT Group, Hg, and TA Associates. Were also proud to be a sister company of IFS, Sri Lankas largest and most established technology company. At IGT1, we partner with global businesses to provide them with an operation that maximizes efficiency, spurs growth, allows them to develop and deliver world-class product and services, and create long-term value. Our people-first culture champions diversity, teamwork, and continuous learning, creating an environment where talent thrives. With a team of over 500 professionals and counting, we are always looking for passionate, skilled individuals who want to make a global impact while being part of something extraordinary. Through our offshore collaboration model, you'll be embedded within the team of one of our esteemed international clients, contributing directly to high-impact, enterprise-level initiatives. About the client: Sitecore Sitecore delivers a composable digital experience platform that empowers the worlds smartest and largest brands to build lifelong relationships with their customers. A highly decorated industry leader, Sitecore is the leading company bringing together content, commerce, and data into one connected platform that delivers millions of digital experiences every day. Thousands of blue-chip companies including American Express, Porsche, Starbucks, LOréal, and Volvo Cars rely on Sitecore to provide more engaging, personalized experiences for their customers. Job Description About the role: Were looking for a Lead / Senior Software Engineer to help build and operate high-impact backend systems that power intelligent, data-driven digital experiences at scale. The team simplifies complex platform capabilities into reliable, reusable services in a cloud-native, multi-tenant environment. Sitecore operates in an AI-driven engineering environment and expect you to use copilots and agentic workflows to accelerate delivery, while keeping the bar high for correctness, security, and maintainability. This is not vibe coding. We want someone who can ship without AI and also knows how to steer it effectively. Youll have real influence over architecture decisions and platform direction, not just execute on tickets. Youll work in a team thats genuinely investing in AI-assisted engineering, not just talking about it. We value open debate, evidence-based decisions, and a collaborative environment where ideas are challenged constructively. Key Responsibilities: Solve problems autonomously: proactively reach out to other teams, stakeholders, and subject-matter experts to gather information and unblock yourself. Collaborate with product owners and cross-functional teams to define requirements, influence platform direction, and architect solutions to complex challenges. Contribute to architectural discussions: evaluate design patterns, propose solutions, constructively challenge ideas, and help the team find the best fit following established best practices. Design, build, and maintain Go services in a cloud-native, multi-tenant environment. Build shared libraries, SDKs, and internal tooling that make it easier for other teams to integrate with and operate platform services. Evolve and optimize our cloud-based platform, balancing relevance, latency, resilience, and cost. Build resilient, observable systems with proper timeouts, retries/backoff, caching, rate limiting, SLOs, and safe rollout patterns. Lead code reviews, provide technical mentorship, and raise the teams engineering bar. Leverage AI tools (copilots, agents) to accelerate coding, testing, and debugging with strong verification habits, and help shape team-level best practices for AI-assisted workflows. Qualifications Preferred Skills and Experience: Core Engineering 5+ years of professional software engineering experience (or equivalent senior-level impact). Strong backend engineering experience in Java, .NET, or similar languages, with a willingness to learn and ramp up in Go after joining. Experience building and running distributed systems in production (microservices, event-driven architectures, failure modes). Solid cloud-native experience (Azure, or another major cloud provider) with Kubernetes, identity/secrets management, networking, and CI/CD. Experience with infrastructure as code (Terraform, Pulumi, or similar). Strong debugging and incident skills: can diagnose issues from logs, metrics, and traces end-to-end. AI-Native Engineering Comfortable using LLM tools and agents in daily work (scaffolding, refactoring, test generation) without sacrificing quality. Strong verification mindset: treats AI output as untrusted until validated via tests, reviews, benchmarks, and security checks. Skilled at context engineering: can package high-signal context to reliably steer models. Interest in emerging approaches (agents, MCP-style tool use, structured workflows) and ability to evaluate them pragmatically. Additional Skills That Could Set You Apart Experience with Go Hands-on experience with search engines (Elasticsearch, Solr, Lucene, Azure AI Search, or similar) including index design and relevance tuning. Experience with vector search, embeddings, or semantic retrieval techniques. Experience with distributed NoSQL databases (Cosmos DB or similar) including partitioning and throughput tuning. Observability depth: OpenTelemetry, Prometheus/Grafana, or Application Insights. Experience with messaging/streaming systems (Kafka, Azure Service Bus, Event Hubs, or similar). Security and AI safety awareness: prompt injection risks, safe tool outputs, least-privilege automation. What Success Looks Like You ship reliable features to production with strong test coverage and clear operational signals. You proactively improve performance, reduce cost, and increase resilience across the platform. You raise the teams bar on AI usage: faster delivery and fewer regressions through better workflows and verification. You mentor others and improve the system, not just the code. Additional Information We champion flexibility and hybrid work options to support varying lifestyles and personal needs. At the same time, we value the power of in-person collaboration to build community, spark innovation, and strengthen connections. Our approach ensures you can work in ways that suit you best while still engaging with colleagues to share ideas and grow together. #LI-Hybrid #LI-DNP I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested share this job Share on LinkedIn&mini=true&source=SmartRecruiters&summary=IFS%20is%20looking%20for%3A%20Senior%20%2F%20Lead%20Backend%20Engineer%20(IGT1)%20in%20Colombo%2C%20Sri%20Lanka.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FIFS1%2F744000115425417-senior-lead-backend-engineer-igt1-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FIFS1%2F744000115425417-senior-lead-backend-engineer-igt1-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6 Share on LinkedIn) Share on Facebook Share on Twitter.&via=SmartRecruiters&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FIFS1%2F744000115425417-senior-lead-backend-engineer-igt1-%3Ftrid%3D33221b55-7baa-4189-992e-a7fac0c08950 Share on Twitter) Share via email&body=IFS%20is%20looking%20for%3A%20Senior%20%2F%20Lead%20Backend%20Engineer%20(IGT1)%20in%20Colombo%2C%20Sri%20Lanka.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FIFS1%2F744000115425417-senior-lead-backend-engineer-igt1- Share via email) Share on Xing Share on WeChat Other jobs at IGT1 Lanka Senior Saas Automation Engineer (IGT1)) Colombo, Sri Lanka Senior Software Engineer - React.js (IGT1)) Port City Colombo, Sri Lanka Senior Cloud Engineer Unix: AWS (IGT1)) Colombo, Sri Lanka Show all jobs Share to WeChat × Copy the link and open WeChat to share. 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The role requires a minimum of five years of professional software engineering experience or equivalent senior-level impact. Candidates should possess strong backend engineering experience in languages such as Java, .NET, or similar, with a willingness to learn Go. Experience in building and operating distributed systems in production, including microservices and event-driven architectures, is necessary. Solid cloud-native experience with platforms like Azure, Kubernetes, identity/secrets management, networking, and CI/CD is also required, along with familiarity with infrastructure as code tools. The position also necessitates comfort with using LLM tools and agents in daily work, coupled with a strong verification mindset to validate AI output.