Senior DevOps Engineer: Cloud, Kubernetes & IaC Leader

Early Warning Services LLC

Chicago (IL)

Hybrid

USD 106,000 - 130,000

Full time

7 days ago
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Benefits offered by this job

Healthcare
401(k) Match
Paid Time Off
Parental Leave

Job summary

Early Warning Services LLC in Chicago seeks a DevOps/Platform Engineer to design, develop, test, and maintain infrastructure as code and CI/CD pipelines. You will lead cloud deployments with AWS, Terraform, and Ansible, while ensuring reliability and observability across distributed services.

The role requires hands-on experience with Kubernetes and container orchestration, strong Linux skills, and collaboration with multiple engineering teams.

Qualifications

  • Education and/or experience typically obtained through completion of a Bachelor's Degree in Computer Science or equivalent certifications.
  • Typically minimum of 5 or more years of related experience.
  • Demonstrated prior DevOps, software engineering or related experience.
  • Ability to work on multiple projects and general understanding of software environments and network topologies.
  • Able to facilitate technical design sessions.
  • Minimum of 3 years of experience in modern application design patterns.
  • Solid understanding of an iterative software development process.
  • Ability to use Linux administration command line programs and create/edit scripts.
  • Knowledge of one or more of the tools - Chef, Ansible, puppet.
  • Knowledge of one or more of the tools - IAC, Containerization and orchestration (Terraform, Docker & Kubernetes)
  • Experienced with security and encryption protocols.
  • Knowledge of one of the cloud infrastructure providers - AWS, GCP and Azure
  • Must be able to work different schedules as part of an on-call rotation.
  • Background and drug screen.

Responsibilities

  • Lead infrastructure-as-code projects, designing APIs and building tools to be used by engineering teams for reliable and repeatable cloud deployments
  • Implement abstractions to simplify the complexities of cloud providers (AWS), open-source technologies (Kubernetes), and internal EWS infrastructure
  • Obsess about the usability of the systems you build, allowing engineers to have an intuitive and predictable experience working with infrastructure at scale
  • Troubleshooting complex infrastructure problems, often spanning multiple layers of the stack and requires working with multiple teams
  • Experience designing cloud infrastructure for robustness, security, and observability
  • Expertise in infrastructure-as-code tools such as Terraform, Ansible, and continuous deployment pipelines
  • Expertise in AWS foundations including compute, networking, storage, observability and security. Experience in automating AWS services using Terraform and Ansible. Experience in highly scalable distributed datacenter or cloud computer systems (AWS, Azure, VM)
  • Strong knowledge of AWS services (EC2, IAM, ELB, Route53, S3, Lambda, Cloud Formation, DynamoDB)
  • Experience architecting Kubernetes based systems
  • Container orchestration - Kubernetes, TKGi, EKS, ECS
  • Proficient with using and debugging networks, DNS, HTTP, TLS, load-balancing, build systems, Linux, and Docker
  • Experience in building CI/CD pipelines
  • Experience building and scaling Workflow pipelines
  • Experience in data center operations, monitoring, alerting and notifications

Skills

Infrastructure as Code
CI/CD pipelines
Linux administration
Networking
Security best practices
Observability

Education

Bachelor's degree in Computer Science

Tools

Terraform
Ansible
Docker
Kubernetes
AWS

Job description

Early Warning Services LLC in Chicago seeks a DevOps/Platform Engineer to design, develop, test, and maintain infrastructure as code and CI/CD pipelines. You will lead cloud deployments with AWS, Terraform, and Ansible, while ensuring reliability and observability across distributed services.

The role requires hands-on experience with Kubernetes and container orchestration, strong Linux skills, and collaboration with multiple engineering teams.

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