DevOps Engineer

AWS DevOps Engineer

We are seeking a DevOps Engineer to help scale and support modern cloud infrastructure, automation, and platform engineering initiatives for large-scale microservices-based applications. This role will work closely with software engineers, ml engineers, product owners, and cross-functional teams to build reliable, secure, and cost-effective cloud solutions while enabling faster delivery of new features through automation and gitops practices.

Key Responsibilities

• Design, build, and maintain cloud infrastructure primarily in AWS, with some Azure exposure.
• Develop and manage infrastructure as code (iac) solutions using Terraform.
• Build, optimize, and support ci/cd pipelines, deployment automation, and gitops workflows.
• Automate infrastructure validation, testing, and operational processes to improve efficiency and reliability.
• Manage and support containerized environments using Docker and Kubernetes, including migration and modernization initiatives.
• Partner with engineering and product teams to design scalable, high-performing solutions while balancing performance, availability, and cloud costs.
• Monitor, troubleshoot, and resolve complex production issues across cloud and platform environments.
• Implement security, networking, resiliency, and disaster recovery best practices.
• Provide technical leadership, contribute to architectural discussions, and help drive engineering best practices across the team.
• Participate in a 4th-level on-call rotation supporting critical production systems.

Required Qualifications

• 3+ years of experience as a devops engineer, platform engineer, sre, or software engineer in a production environment.
• Strong hands-on experience with Terraform and infrastructure as code.
• Experience with Kubernetes and containerized application deployments, with the ability to quickly understand and apply Kubernetes patterns.
• Experience working with AWS cloud services; exposure to Azure is a plus.
• Experience building and supporting ci/cd pipelines and automation frameworks.
• Familiarity with GitOps methodologies and modern source control practices.
• Proficiency in scripting and automation, preferably Python.
• Experience with cloud monitoring and observability tools such as Datadog.
• Understanding of cloud architecture, networking, security, and cost optimization principles.
• Strong troubleshooting, communication, and collaboration skills.
• Demonstrated ability to provide technical leadership, influence engineering decisions, and help teams adopt automation-first practices.

The ideal candidate is an automation-focused DevOps engineer who can hit the ground running with Terraform and Kubernetes, thinks strategically about infrastructure at scale, and enjoys partnering with development teams to deliver highly reliable cloud platforms. They bring strong technical judgment, a continuous improvement mindset, and a passion for enabling teams to move faster through automation and modern platform engineering practices.