Senior DevOps Engineer

Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world.

What project we have for you

Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field.

What you will do

• Design, build, and maintain automated AWS-based infrastructure solutions for large-scale engineering environments.
• Develop and support Infrastructure as Code templates and automation using AWS CloudFormation, AWS SAM, Serverless Framework, or similar technologies.
• Create, maintain, and optimize CI/CD pipelines for application delivery, infrastructure deployment, and engineering automation.
• Work with AWS services to design and support secure, reliable, scalable, and maintainable cloud environments.
• Support cloud networking, DNS, routing, access management, and security configurations across complex environments.
• Automate infrastructure, deployment, and operational processes using Python, Bash, and API integrations.
• Troubleshoot complex issues across infrastructure, CI/CD pipelines, networking, permissions, and application deployment flows.
• Build reusable templates, documentation, examples, and enablement materials to simplify delivery for development teams.
• Collaborate with engineering teams to improve developer experience, reduce manual effort, and standardize deployment practices.
• Contribute to platform reliability, observability, operational readiness, and infrastructure best practices.
• Support application teams with build, packaging, deployment, and release automation activities.
• Drive continuous improvement by identifying areas for simplification, automation, and process optimization.
• Take ownership of infrastructure solutions end-to-end, from design and implementation through deployment and production support.
• Participate in regular on-call rotations, supporting production systems through incident response, troubleshooting, escalation, and post-incident improvements.
• Maintain clear technical documentation and promote DevOps, cloud engineering, and automation best practices.

What you need for this

Mandatory

• 7+ years of experience designing, building, deploying, and maintaining automated infrastructure solutions and AWS – based platforms for large-scale engineering organizations with 100+ developers and 100+ services.
• Deep hands-on experience with AWS core services , including IAM , VPC , API Gateway , ELB , and RDS .
• Strong experience with Infrastructure as Code, particularly AWS CloudFormation , AWS SAM , and Serverless Framework , for managing complex cloud environments.
• Solid understanding of cloud networking concepts, including VPCs , subnets , routing, security groups, and DNS using Route 53.
• Strong experience with CI/CD principles and tools, including designing, creating, and maintaining complex CI/CD pipelines using Azure Pipelines or similar platforms.
• Proficiency with Python and Bash for infrastructure automation, CI/CD automation, and integration with APIs such as AWS , GitHub , and Azure DevOps.
• Strong focus on simplification and automation, with the ability to design and deliver solutions that reduce complexity for development teams.
• Highly autonomous and self-directed approach , with the ability to independently learn new tools and services through documentation, experimentation, and hands-on delivery.
• Exceptional troubleshooting and debugging skills across infrastructure, networking, security, permissions, and deployment pipelines.
• Ability to take a problem from definition to a completed, production-ready solution with strong attention to detail and minimal supervision.
• Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end infrastructure solutions, resolve blockers, and communicate effectively in English.
• Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest)

Nice to Have

• Experience with additional AWS services such as DynamoDB, Kinesis, CloudFront, ECS, Lambda, and Aurora PostgreSQL.
• Experience creating reusable artifacts for development teams, including templates, libraries, examples, documentation, and onboarding materials.
• Familiarity with containerization using Docker .
• Experience with build and packaging ecosystems for Java and/or Python applications, including Maven .
• Proficiency with Git and GitHub for source code management in a multi-repository environment.
• Experience supporting developer productivity, internal platforms, or shared engineering services.
• Experience improving CI/CD standardization , release automation , and infrastructure governance across multiple teams.

What it’s like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Skills

AWS

cloudformation

Python