- Strong hands-on experience with AWS in production: VPC design, EKS, IAM, RDS, S3, CloudWatch.
- Deep expertise in Kubernetes: cluster operations, Helm, RBAC, resource optimization, and troubleshooting real workloads.
- Proven experience building and maintaining CI/CD pipelines with GitHub Actions, including multi-environment promotion, secrets management, and gated releases.
- Experience operating centralized logging solutions such as Grafana Loki (or equivalent), including index management, retention, and log-based alerting.
- Practical experience with Kafka: topic management, consumer monitoring, offsets, and performance tuning.
- Familiarity with ClickHouse or similar columnar databases in high-throughput environments.
- Hands-on use of Grafana for dashboards, alerting, and incident/on-call workflows with runbooks and escalation policies.
- Strong infrastructure-as-code skills (Terraform or equivalent) with version-controlled, peer-reviewed changes.
- Solid understanding of networking fundamentals: DNS, load balancing, TLS termination, ingress patterns, and basics of service mesh; experience with latency-sensitive systems and production ownership mindset.
- Upper-Intermediate English and strong communication skills.
- Background in fintech, proprietary trading, or other high-stakes environments with strict uptime and data integrity requirements.
- Experience with service mesh technologies such as Cilium, Istio, or Linkerd.
- Familiarity with NATS, Redis, or other low-latency messaging and caching systems.
- Scripting skills in Python, Go, or Bash for automation and tooling.
- Design, maintain, and evolve AWS cloud infrastructure, including EKS, networking, IAM, and supporting services with focus on reliability, security, and cost control.
- Own Kubernetes workloads end-to-end: deployments, autoscaling, resource management, and cluster health across environments.
- Build and operate CI/CD pipelines with GitHub Actions to ensure fast, repeatable, and auditable releases.
- Maintain and improve the observability stack (Grafana, Loki, alerting) for fast issue detection and investigation.
- Own on-call and incident response processes: configure alerting, escalation policies, and drive post-incident reviews.
- Manage and scale Kafka-based streaming infrastructure supporting real-time data processing.
- Continuously improve system reliability through tuning, automation, and elimination of operational toil.
- Document infrastructure, incidents, and runbooks; ensure operational knowledge is shared and actionable.
- 15 paid vacation days, up to 5 unpaid days off, and 7 paid sick days
- 10 Indian public holidays
- Sombra University workshops and internal learning programs
- Tech Communities and knowledge sharing sessions
- Language courses and workshops
- Mentorship opportunities
- Company-provided work equipment
- Internal referral program
- Sombra events and internal initiatives
Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.
If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.
