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Sr AWS cloud Engineer

Lincoln Softtech LLCIrvine, CA🇺🇸United StatesPosted 6 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Sr AWS cloud Engineer

Duration: 12+ Months

Location: Irvine, CA (Hybrid)

Need 15+ Expirenced candidates only

 

Key Responsibilities

·        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

 

Technical Skills

·        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

 
 

Skills

Docker
AWS
OAuth
Datadog
GitHub Actions
Java
Jenkins
Kafka
Kubernetes
Python
REST
Terraform

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