nanakramguda hyderabad telangana sr. aws devops engineer kubernetes expertise Jobs – 133 Open Jobs Today

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Senior SRE/DevOps Engineer

Sombra
Hyderabad, Telangana

Apply Now

Job details

Benefits

Paid sick time

Qualifications

CI/CD
Performance tuning
Cloud infrastructure
Go
Kubernetes
Full-stack development
Software deployment
Load balancing
Git
English
Bash (Unix shell)
RBAC
AWS
Terraform
Continuous integration
Redis
Scripting
DNS
GitHub
S3
Kafka
RDS database
Communication skills
Python
Identity & access management

Full job description

Remote

Hyderabad India

We are looking for a hands-on Senior DevOps/SRE Engineer to own the infrastructure and platform reliability that our real-time trading systems depend on. You will be the person who makes sure that production never surprises us - building and maintaining the pipelines, environments, and observability tooling that allow the engineering team to ship with confidence.

You are comfortable managing and operating Cloud and Kubernetes infrastructure, opinionated about CI/CD, and understand that in a live trading environment, uptime and latency are not optional. You bring a disciplined, systematic approach to infrastructure-as-code, treat on-call as ownership – not rotation – and leave things better than you found them.

Domain: FinTech / Proprietary Trading (US market).
Product: A cutting-edge platform connecting traders with funding opportunities.
Tech Vibe: High-load, low-latency, and data-intensive environment processing millions of events in real time.

Requirements:

Deep, hands-on AWS experience – VPC design, EKS, IAM, RDS, S3, CloudWatch, and related services in production environments.
Strong Kubernetes expertise – cluster management, Helm, resource optimization, RBAC, and troubleshooting in real production workloads.
Proven experience building and maintaining CI/CD pipelines with GitHub Actions – including multi-environment promotion flows, secrets management, and deployment gating.
Operational experience with Grafana logging stack or equivalent centralized logging platforms – index management, retention policies, and log-based alerting.
Hands-on experience with Kafka in production – topic management, consumer group monitoring, offset management, and performance tuning.
Familiarity with ClickHouse or comparable columnar/analytical databases in a high-throughput data environment.
Experience with Grafana for dashboards, alerting, and on-call / IRM workflows – including configuring alert rules, escalation policies, and runbooks.
Infrastructure-as-code fluency – Terraform or equivalent; version-controlled, peer-reviewed infrastructure changes are non-negotiable.
Strong understanding of networking fundamentals: DNS, load balancing, TLS termination, service mesh basics, and ingress patterns.
Experience supporting or operating real-time, latency-sensitive systems – you understand that a five-second lag in a trading environment is not acceptable.
Reliable, thorough, and ownership-oriented – you close issues, document what you learn, and don’t leave alerts untuned or runbooks unwritten.
Upper Intermediate English level and strong communication skills.

Nice to have:

Background in fintech, prop trading, or other regulated, high-stakes environments where uptime and data correctness are non-negotiable.
Experience with service mesh tooling (Cilium, Istio, Linkerd) for inter-service observability and traffic management.
Familiarity with NATS, Redis, or other low-latency messaging or caching layers common in trading infrastructure.
Scripting proficiency in Python, Go, or Bash for automation, tooling, and operational scripting.
Experience with multi-region or multi-AZ deployment strategies and automated failover patterns.
Comfort contributing to or reviewing application code – not a full-stack engineer, but able to engage meaningfully with developers on deployment, environment, and observability concerns.
Exposure to security tooling: vulnerability scanning, secrets management (Vault, AWS Secrets Manager), and audit logging.
Experience operating in a multi-team engineering organization with shared infrastructure dependencies.

Responsibilities:

Design, maintain, and evolve cloud infrastructure on AWS – including EKS clusters, networking, IAM, and supporting services – with a strong bias toward reliability, security, and cost efficiency.
Own and operate Kubernetes workloads end-to-end: deployment configurations, resource management, autoscaling, and cluster health across dev, staging, and production environments.
Build and maintain CI/CD pipelines using GitHub Actions – from code merge to production deploy – ensuring fast, repeatable, and auditable release flows for all services.
Manage and evolve the central monitoring stack (Grafana Loki based) and observability tooling to ensure engineers can investigate issues quickly and operations teams can act on signals before they become incidents.
Own Grafana IRM and the on-call system: configure alerting, dashboards, and escalation policies; drive incident response culture and post-incident review processes.
Manage and scale Kafka-based event streaming infrastructure supporting real-time trading.

What we offer:

Well-being:

15 working days of Paid Days Off within an individual year.
Up to 5 working days of Unpaid Days Off within an individual year.
7 working days of Paid Sick Days Off

Professional Growth:

Mentorship program – available on request.
English courses and Speaking Club – attend English classes twice a week in small groups.

Added advantages:

Work equipment.
If you know someone you believe is a good fit for our cooperation, you can recommend them and get a reward.
Public Holidays – celebrate 10 statutory holidays in India.
Sombra events – Join Sombra’s traditional events (both online and offline).

Anastasiia Shepelevych

Recruitment Partner

Apply Now

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sr. aws devops engineer kubernetes expertise jobs in nanakramguda hyderabad telangana

Senior SRE/DevOps Engineer

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Deputy Director - DevSecOps

Senior DevSecOps Engineer

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Senior Software Engineer- Site Reliability

Principal Application Support Engineer - AI Products & Agents

Senior Manager - AI ML Engineering

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