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Senior DevOps Engineer (AWS)
Donyati —Remote
- Full-time
- Remote
- Java
- AWS
- APIs
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Application & Infrastructure Security Consultant
Luxoft —Remote
- Remote
- Azure
- English
- Java
Senior Data Scientist
High 5 Games —Remote
- Remote
- Azure
- Doctoral degree
- English
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Senior E Commerce Developer (Analytics tagging)
Kontoor Brands —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Salesforce
Senior Staff Engineer, Mobile Android
Nagarro —Remote
- Remote
- Java
- Agile
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Principal Software Engineer, Connectors & Integrations
Avalara —Remote
- Remote
- Oracle
- Computer Science
- Java
- Health insurance
- Paid time off
Oracle CPQ - Senior Associate
Elfonze Technologies —Remote
- Full-time
- Remote
- CRM software
- Oracle
- Sales
- Paid time off
Murex Migration Lead
Luxoft —Remote
- Remote
- DevOps
- English
- Java
Senior Murex Integration Dev
Luxoft —Remote
- Remote
- Oracle
- English
- Java
Full Stack Developer Intern
JSquare Linn Software Private Limited —Remote
- ₹10,000 a month
- Full-time
- Remote
- Java
- JavaScript
- Python
- Work from home
- Flexible schedule
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Senior DevOps Engineer (AWS)

Donyati -
Remote

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Job details

Full-time

Qualifications

CI/CD
Gradle
Git
Java
Bash (Unix shell)
AWS
Docker
Terraform
Continuous integration
Redis
GitHub
APIs
S3
DynamoDB
Maven
RDS database
Jenkins
GitLab
Python
Akka
Identity & access management

Full job description

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 <50ms response time and up to 5M concurrent users with 99.99% uptime.
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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