DevOps Engineer

Role Overview

We're looking for a Mid-Level DevOps Engineer to help design, build, and maintain our cloud infrastructure on AWS. You'll work within established practices to build and improve CI/CD pipelines, manage Kubernetes workloads, and support the reliability of our systems with room to grow into more architectural ownership over time. This role suits someone with 2–4 years of hands-on infrastructure experience who is comfortable operating independently on day-to-day tasks while collaborating with senior engineers on more complex design decisions.

Key Responsibilities

• Design and deploy AWS infrastructure using Terraform/OpenTofu, following existing patterns and conventions.

• Build and maintain CI/CD pipelines for deployments to:

  • EC2 instances

  • EKS (Kubernetes) clusters

  • Web/browser-facing applications

• Support blue-green deployment processes to enable zero-downtime releases

• Operate and troubleshoot Kubernetes workloads, escalating complex issues to senior engineers as needed

• Contribute to and maintain Grafana dashboards for SLA/SRE metrics

• Write shell/bash scripts to automate routine operational tasks

• Configure standard networking components (subnets, security groups, NAT, CIDR blocks, ports) within established architecture

• Apply secure data practices: SSL/TLS, private networking, S3 bucket policies

• Manage day-to-day IAM roles and policies, escalating complex policy design where needed

• Work confidently in Linux command-line environments for daily operations
  

Required Skills

• 2–4 years of experience in a DevOps, Infrastructure, or Site Reliability role

• Working knowledge of AWS as a cloud provider

• Practical experience with Terraform or OpenTofu

• Demonstrated experience building basic end-to-end CI/CD pipelines, with at least one of:

  • Automated deployment to EC2

  • Automated deployment to EKS/Kubernetes

  • Automated deployment to a web/browser-facing service

• Comfortable working in a Linux command-line environment

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field

• Experience operating Kubernetes in a production or staging environment

• Exposure to building or maintaining Grafana dashboards for SLA/SRE metrics

• Familiarity with blue-green deployment patterns

• Working knowledge of shell/bash scripting

• Understanding of networking fundamentals (subnets, security groups, NAT, CIDR blocks, ports)

• Awareness of secure data practices (SSL/TLS, private networking, S3 bucket policies)

• Some experience with AWS IAM managemen