[Hiring] Senior Dev Ops Engineer @Sermo

Role Description

We are looking for a very skilled Dev Ops engineer who uses AI tools every day. You will join the Dev Ops team and work alongside the existing teams (Engineering and IT) to make sure our infrastructure continues to run smoothly. You will have a lot of flexibility in terms of the technologies you use daily, and you will have a say in how those technologies should be used going forward.

• Much of Dev Ops work suits AI-assisted development: infrastructure as code, pipelines, scripts, runbooks, and the first pass of troubleshooting.
• Use AI tools such as Claude Code or equivalent to deliver it quickly while keeping production safe.
• Direct AI agents, review what they produce, and own the result.
• Make judgements about when to trust the tool and when not to, balancing speed with caution.
• Be a team player and enjoy collaborating with others to find the best solution to a problem.
• Have a service-oriented mindset and take ownership of tasks through to completion.
• Have a systematic and logical approach to solving problems and enjoy teaching and mentoring others.

How we use AI in Dev Ops

• Use AI tools such as Claude Code or equivalent to plan, write, test, review, and document infrastructure code, pipelines, scripts, and runbooks.
• Write clear specifications, direct the agents, and verify the result before it reaches production.
• Invest in instructions, tools, and guardrails that make AI-assisted work reliable and safe.
• Handle sensitive data, credentials, and secrets under data-protection rules.
• Ensure every change gets human review, regardless of the source.

Day to day tasks:

• Implement improvements to our automated Dev Ops framework using AI agents.
• Improve and maintain build environments across multiple platforms.
• Collaborate with developers on ways to continuously improve infrastructure.
• Monitor production environments in AWS and in Datadog.
• Participate in the pager duty and call rotation to ensure system stability.
• Detect, troubleshoot, and help resolve production issues using AI assistance.
• Help ensure that our systems meet general security standards.
• Facilitate backup and restoration of our systems.
• Review merge requests for correctness, security, blast radius, and maintainability.
• Improve the instructions and tooling our agents rely on.
• Use AI to reduce toil and keep documentation current.
• Help engineering teams adopt AI tooling safely.
• Help decide which technologies and processes we use.

Qualifications

• 4+ years of experience in a similar dev ops role.
• 4+ years of Linux system administration.
• Good understanding of Windows system administration.
• Extensive experience with AWS.
• Clear understanding of the AWS well-architected framework, AWS Organizations, AWS Identity Center, IdP configurations, and multi-account segregation.
• Extensive experience with Docker/Kubernetes/AWS ECS container infrastructure and orchestration.
• Good experience with DataDog.
• Extensive experience in Infrastructure as Code such as Terraform/OpenTofu/Terragrunt.
• Experience with Packer, CloudFormation, or Ansible.
• Extensive experience building CI/CD pipelines, preferably in Gitlab.com.
• Knowledge and experience with scripting tools and languages, such as Python, Bash, and Powershell.
• Advanced experience with Git version control system.
• Hands-on experience using AI coding tools such as Claude Code or equivalent.
• Ability to verify AI-generated infrastructure changes.
• Understanding of the risks of giving AI agents access to cloud accounts and production systems.
• Excellent English written and verbal communication skills, with a C2 proficiency level.
• Availability for being on-call during off-hours and weekends in a rotation with other engineers for pager duty.

Bonus skills and experience:

• Experience configuring AI coding agents.
• Experience with AI guardrails technologies such as AWS Bedrock.
• Experience provisioning and configuring environments in Databricks.
• Experience connecting AI tools to operational systems such as Datadog, AWS, GitLab, and Jira.
• Experience with policy as code and automated guardrails for infrastructure.
• Experience building internal automation with LLM APIs.
• Experience implementing controls related to SOC 2/HIPAA or other compliance frameworks.
• Understanding of GDPR and data-protection requirements when using AI tools with sensitive data.
• Understanding of the AWS tenant concept and architecture.
• Experience with PostgreSQL.
• Experience building CI/CD pipelines for .NET Core (C#) projects.
• Experience with other SQL servers and technologies such as Redshift.
• Experience with Solr.
• Experience using JIRA.
• Understanding of network technologies as they relate to AWS.
• Monitoring and auditing systems experience.
• Understanding and experience with the medical industry.
• An ability to perform well in a fast-paced environment.