Site Reliability Engineer

• Build internal platforms, services, and APIs that enable self-service provisioning, safe deployments
• Enhance CI/CD workflows
• Implement and evolve Infrastructure-as-Code using Terraform

OVERVIEW
We're hiring a Site Reliability Engineer to support a key global technology client. You'll join a modern, cloud-native engineering environment and partner closely with development teams to improve the reliability, scalability, and automation of distributed platforms. The role blends software engineering with reliability ownership: you'll design and build internal services and tooling, streamline CI/CD, implement Infrastructure-as-Code at scale, and strengthen observability so issues are found and fixed before they impact users.

This position offers high autonomy and visibility. You'll work across well-documented systems and established tooling, prepare proof-of-concepts to influence change, and drive pragmatic automation (in Go or Python) that reduces manual effort and makes releases safer and faster. If you enjoy hands-on engineering, diagnosing complex problems, and landing improvements in real production environments, this is an opportunity to make a clear and measurable impact.

DESCRIPTION
As a Site Reliability Engineer, you will:

• Build internal platforms, services, and APIs that enable self-service provisioning, safe deployments, and efficient day-to-day operations.
• Enhance CI/CD workflows (e.g., Jenkins or similar) to increase deployment reliability, add guardrails, and improve developer experience and velocity.
• Implement and evolve Infrastructure-as-Code using Terraform (and related patterns) to standardize environments, reduce configuration drift, and improve repeatability.
• Define and operationalize SLIs/SLOs and error budgets, build actionable dashboards, and tune alerts to reflect user experience and business risk.
• Operate Kubernetes workloads at scale; improve resilience, performance, and cost-efficiency through sound engineering and automation.
• Strengthen observability (metrics, logs, traces) using Prometheus and complementary platforms; drive root-cause analysis and preventative fixes.
• Automate routine work and periodic upgrade cycles (preferably in Go/Python) to eliminate toil and reduce change risk.
• Troubleshoot complex incidents across compute, networking, containers, and deployments; participate in a shared on-call rotation and contribute to post-incident reviews.
• Collaborate with engineers, architects, and product stakeholders to translate requirements into secure, observable, and scalable infrastructure solutions.
• Document patterns and best practices; mentor teams on reliability-first ways of working and platform standards.

QUALIFICATIONS

• Strong hands-on experience with AWS (production environments) and cloud-native architectures; familiarity with hybrid or multi-cloud concepts is a plus.
• Practical expertise operating Kubernetes (deployments, day-2 operations, and troubleshooting).
• Solid CI/CD skills with Jenkins or similar tools (pipeline design, release safety, rollbacks).
• Proficiency in Infrastructure-as-Code (Terraform) and Git-based workflows for environment management.
• Programming/automation in Go and/or Python (production-quality code; tooling and services, not just scripts).
• Observability experience with Prometheus and dashboards/alerting tuned to SLIs/SLOs; familiarity with platforms such as Grafana, Datadog, or CloudWatch is welcome.
• Networking fundamentals for distributed systems, DNS, load balancing, VPC design, security groups, and layer-7 routing/proxies.
• Sound understanding of secure system design (least privilege, secrets management, change control) and performance/reliability trade-offs.
• Excellent communication skills and the ability to operate independently in distributed, asynchronous teams while influencing stakeholders through clear proposals and POCs.
• 7+ years in SRE/DevOps/Infrastructure/Software Engineering with a track record of operating production-grade systems at scale.

PROFESSIONAL ATTRIBUTES

• Ownership: You're accountable across both build and run; you close the loop with measurable outcomes.
• Automation first: You remove toil with durable solutions, not quick fixes.
• Engineering rigor: You apply design patterns, testing, and code reviews to platform work.
• Influence without authority: You use documentation, POCs, and calm communication to align teams.
• Proactive and visible: You work independently across time zones and keep stakeholders informed.

We regret to inform that only shortlisted candidates will be notified / contacted.

EA Registration No: R21103843, Andrew Jonas Matthew

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544