Senior Site Reliability Engineer - India
Syfe
IndiaremotePosted 12 days ago
Skill Required
Site-Reliability-EngineerSRE-EngineerPlatform-EngineerDevOps-EngineerCloud-EngineerSenior-Site-Reliability-EngineerSenior-SRE-EngineerSenior-Reliability-EngineerSite Reliability EngineerSOCVaultrelated fieldObservabilityEngineeringTerraformKubernetesPrometheusnetworkingautomationsecuritybuildingDatadogfintechwrittenetc.)PythonArgoCDdesignDevOpsGitLinuxCI/CDCloudDesign PatternsFulltime
Key highlights
- Required experience: 4–8 years in SRE, platform engineering, or DevOps.
- Notable requirement: Production-grade expertise with Kubernetes and containers, with AWS preferred.
- Role type: Senior individual-contributor, not a managerial position.
- Platform scope: Kubernetes-native, multi-region deployment across Singapore, Hong Kong, and Sydney.
Role overview
Syfe is seeking a Senior Site Reliability Engineer to own the reliability of its production platform end-to-end. The role involves defining reliability targets, building automation, and leading on-call and incident response for a Kubernetes-native, multi-region platform serving a regulated digital wealth-management product. This is a senior individual-contributor position focused on engineering reliability through SLOs, observability, and automation, rather than firefighting.
Responsibilities
- Reliability targets. Define and drive SLIs/SLOs and error budgets across critical services; partner with product and engineering teams to make error-budget-based decisions that balance velocity and stability.
- On-call & incident program. Own the on-call rotation, escalation policies, and paging strategy. Establish incident command, run blameless postmortems, and turn RCAs into tracked, completed reliability work. Drive down MTTD and MTTR.
- Platform & Kubernetes reliability. Own the reliability of our EKS-based deployment platform — GitOps delivery (ArgoCD), Helm-based release configuration, and Infrastructure as Code (Terraform/OpenTofu) on AWS. Make deployments safe, progressive, and reversible.
- Observability. Build and mature the observability stack (Datadog for production APM/RUM; Grafana, VictoriaMetrics, and ClickHouse for metrics and logs). Make systems debuggable: meaningful dashboards, actionable alerts, and low alert noise.
- Resilience. Lead capacity planning, scalability, failure-mode analysis, disaster-recovery and business-continuity planning, and game-day / chaos exercises across regions.
- Toil reduction. Identify operational toil and eliminate it with automation and self-service tooling, so reliability scales with the platform rather than with headcount.
- Production safety. Strengthen rollout/rollback paths, deployment guardrails, and secrets handling (HashiCorp Vault), and partner with engineering teams to harden services before they reach production.
- Engineering influence. Lead by example with hands-on engineering — design reviews, production-readiness reviews, runbooks, documentation, and mentoring — embedding SRE practices across the org
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 4–8 years in SRE, platform engineering, or DevOps, with a strong senior IC track record of owning production systems.
- Production-grade expertise with Kubernetes and containers, and a cloud platform (AWS preferred) in a distributed-systems environment.
- Hands-on experience defining and operating against SLIs/SLOs and error budgets, and leading incident response and blameless postmortems.
- Strong with observability tooling — metrics, logging, tracing, dashboards, and alerting (e.g., Datadog, Prometheus/Grafana, or equivalents).
- Proficient writing automation and infrastructure code (e.g., Python, Go, Shell, Terraform) and comfortable with GitOps / CI/CD delivery.
- Solid grasp of Linux/Unix internals, networking, and cloud-native security fundamentals.
- Strong operational rigor, ownership, and clear written/verbal communication, including during high-pressure incidents.
Nice to have
- Experience operating in regulated or high-trust environments (fintech, payments, etc.).
- Experience running multi-region / multi-cluster Kubernetes at scale.
- Familiarity with ArgoCD, Helm/Helmfile, OpenTofu, Vault, Cloudflare, or comparable tooling.
- Experience building self-service developer platforms or internal reliability tooling.
- Contributions to open-source projects or public technical content (GitHub, blogs, talks).
- Relevant cloud or Kubernetes certifications (e.g., AWS, CKA/CKS)
Additional details
- Syfe is APAC's largest and fastest-growing digital wealth platform, trusted with over US$10 billion in assets. We are fundamentally changing how hundreds of thousands of people across Asia-Pacific build wealth through a holistic approach to managing money rather than just pushing investment products. Backed by world-class investors and recognised as a leader in wealthtech, we are a team of passionate builders creating the future of wealth management.
- We believe in the power of diversity and are dedicated to creating a welcoming and innovative environment for all our employees. So we embrace and encourage applications from candidates of all backgrounds and provide equal employment opportunities for all.
- Due to the volume of applications, we regret that only shortlisted candidates will be notified.
- Originally posted on Himalayas