Senior DevOps Engineer (AWS)

Overview As a senior DevOps Engineer, you will  own  the AWS infrastructure and DevOps toolchain for a high-scale ad serving system composed of asynchronous  Java microservices (Akka framework) .

Targets include

Responsibilities Design & stand up AWS  environments end-to-end (landing zone, VPCs, networking, security, automation).

Build  immutable infrastructure  and  CI / CD  for Java microservices (Maven / Gradle) including blue / green & canary releases and automated rollbacks.

Implement  observability : metrics, logs, traces, SLOs / SLIs, alerting, on-call runbooks.

Engineer  reliability & performance : autoscaling, caching layers, multi-AZ / region DR, capacity planning to support 5M+ concurrent users and p95 / p99 latency goals.

Establish  security-by-design : IAM least privilege, KMS / Secrets Manager, WAF / Shield, image / signing policies, CIS benchmarks.

Partner with EY developers & Performance Test Engineer to tune JVM / Akka, thread pools, GC, and infra limits based on load-testing feedback.

Champion  cost governance  and tagging; produce dashboards and weekly reports.

Tech you’ll use (you don’t need every single one, but you know most) AWS : EKS / ECS, EC2, ALB / NLB, API Gateway / Lambda, S3 / CloudFront, DynamoDB / ElastiCache (Redis), Aurora / RDS, MSK / Kinesis, OpenSearch, Route 53, VPC, NAT / GW, WAF / Shield, CloudWatch / X-Ray, IAM, KMS, Secrets Manager.

IaC & CI / CD : Terraform / CloudFormation, Helm, Argo CD or Flux, GitHub Actions / Jenkins / GitLab CI, Docker.

Observability : CloudWatch, OpenTelemetry, Prometheus / Grafana, log pipelines.

Languages / Build : Bash / Python for automation; familiarity with Java build / release workflows.

What makes you a great fit 3–5+ years total experience;  Senior / Manager-level  depth in AWS platform engineering for  high-throughput, low-latency  services.

Proven ownership of  production systems at 10k–1M+ concurrent users  (or comparable high RPS) with 99.9x SLOs.

Hands-on with  Akka / Java microservice delivery pipelines  (nice if you’ve tuned JVM, GC, Akka dispatchers).

Strong grounding in  scaling patterns  (event-driven, async IO, caching, backpressure, rate limiting) and  resilience (circuit breakers, retries, chaos).

Excellent collaboration, documentation, and stakeholder communication.

Logistics Location :  Remote (prefer India candidates) Schedule : Must join  US morning calls (Eastern Time)  as needed.

Start :   1–3 weeks  from offer.

Term : Through  end of January  (likely extension).

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