Senior Site Reliability Engineer - India

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.


About the Role:

• We are looking for a Senior Site Reliability Engineer to own the reliability of Syfe's production platform end-to-end. Syfe
• runs a Kubernetes-native, multi-region platform (Singapore, Hong Kong, Sydney) serving a regulated digital wealth-
• management product, where availability, latency, and trust are first-order product features.
• This is a senior individual-contributor role, not a managerial one. You will define what "reliable" means in measurable terms,
• build the systems and automation that keep us there, and own and lead our on-call and incident-response program.
• You'll spend your time engineering reliability into the platform — through SLOs, observability, and automation — rather than
• firefighting, and you'll raise the bar for how the whole engineering org operates production

What You'll Own

• 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

Qualifications (Must-have):

• 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)