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# AWS cloud Engineer

- **Company:** LINCOLN SOFT TECH LLC
- **Location:** Irvine, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Cloud Computing Security, Computer Programming, Continuous Integration, Distributed Systems, Github, Identity and Access Management, Python (Programming Language), Key Management, OAuth, OpenID, Runbook, Data Streaming, Datadog, Policy as Code, Data Logging, Scripting, Transport Layer Security, Okta, Software Troubleshooting, Amazon Virtual Private Cloud (VPC), Amazon Relational Database Service, Kubernetes, Apache Kafka, Functional Programming, Cloud Optimization, Cloudwatch, Restful APIs, Terraform, Docker, Jenkins, Confluent
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/425dee5f-d7a2-4e79-b1f3-6aab03c507c0

## About the Role

· Cloud: AWS (EKS, EC2, VPC/Networking, IAM, S3, RDS, Lambda)

· IaC: Terraform (modules, state management, policy-as-code)

· CI/CD: GitHub Actions, Harness

· APIs & Integration: REST APIs (design, development, integration), Async APIs

· Containers & Orchestration: Docker, Kubernetes (EKS)

· Event Streaming: Kafka, Confluent (topics, schemas, Kafka Connect, cluster linking)

· Monitoring/Observability: Datadog, CloudWatch

· Security: OAuth, OIDC, OKTA, SSL/TLS, IAM, secrets management

· Programming/Scripting: Java/Python

Key Competencies

· Strong troubleshooting and problem-solving across distributed systems

· Ability to translate operational issues into durable platform improvements

· Systems-thinking approach to reliability, security, and cost

· Effective collaboration and technical mentorship across engineering teams

## Description

· Design and operate scalable, highly available, multi-account cloud infrastructure (AWS)

· Build and maintain Infrastructure-as-Code modules and standards using Terraform

· Develop reusable platform patterns, landing zones, and golden paths for engineering teams

· Optimize and operate CI/CD pipelines (Jenkins, GitHub Actions, Harness)

· Enable developer self-service and reduce manual intervention through automation

· Manage Kubernetes platforms (EKS) - networking, scaling, upgrades, and workload onboarding

· Operate and support Kafka-based event streaming platforms - topics, schemas, connectors, and cluster reliability

· Build and integrate REST APIs and self-service tooling to streamline platform workflows

· Implement cloud security and governance (IAM, OAuth/OIDC, OKTA, SSL/TLS, secrets management)

· Drive cloud cost optimization, capacity planning, and FinOps practices

· Implement observability - metrics, logging, tracing, alerting, and SLOs

· Lead incident response, troubleshooting, and root cause analysis across platform and runtime systems

· Partner with application teams to troubleshoot infrastructure, deployment, and runtime issues

· Drive continuous improvement using operational insights and user feedback

· Enhance documentation, runbooks, and platform usability


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