Position: AWS DevOps
Location : Northridge, CA
Points to Ponder-
There will be minimum 3 and max 4 Client round.
Note : High possibility for 2-3 rounds in one day at client location , Northridge, CA. must share resumes accordingly who are 100% willing to go for face to face client meeting and 5 days onsite
We are seeking an AWS DevOps lead having 6 to 9 years hands-on experience to own and scale our containerized delivery platform on Amazon ECS (including Fargate), implement robust CICD with JFrog Artifactory, codify infrastructure with AWS CloudFormation, and drive observability and log analytics across CloudWatch and OpenSearchELK. The ideal candidate combines deep AWS operations experience with secure engineering practices and a continuous improvement mindset.
AWS: ECS (Fargate), ECR, VPC, ALBNLB, IAM, KMS, S3, CloudWatch, CloudTrail, Systems Manager, Lambda, RDS, ECache, MQ,
Containers: Docker (multi stage builds, buildx, caching), container networking, runtime hardening.
CICD & Artifacts: Git + pipelines (JenkinsGitLabGitHub ActionsCodePipeline), JFrog Artifactory (Xray preferred), ECR.
IaC: Strong hands on expertise with AWS CloudFormation (stacks, nested stacks, StackSets, change sets, drift).
Log Analytics: Strong hands on expertise in log analysis using CloudWatch Logs Insights (KQL style queries), OpenSearchKibana dashboards, and alerting.
Programming: Proficient in at least one language Java or Python (pipeline scripts).
Build and support environment builds.
Deploy configuration changes to non-prod and prod environments.
Deploying software releases non-prod and prod environments.
Building and setting up new development tools and infrastructure tools
Understanding the needs of stakeholders and conveying this to developers
Key word to search AWS CloudFormation, Docker, Lambda, CICD, ELK, Boto3
Mandatory Skills
Technical Soft Skills Expertise Level (Expert Good Knowledge)
Remarks
AWS Cloud (CloudFormation, Lambda, Services) Expert
CICD Pipelines Expert
Scripting (PythonShell) Expert
Desired Skills
Technical Soft Skills Expertise Level (Expert Good Knowledge)
Remarks
Trouble Shooting Application Issues Expert
ELK Log Analysis Good
Containers: Docker (multi stage builds, buildx, caching), container networking, runtime hardening Expert