[Hiring] Senior DevOps Engineer @phData

Role Description

We are looking for a Senior DevOps Engineer to join our Elastic Platform Operations (EPO) team. In this role, you will own the technical delivery and platform reliability of cloud-native data environments on AWS and Azure for our managed services clients. You bring deep DevOps expertise — infrastructure-as-code, CI/CD, cloud platform engineering, automation, and client-facing delivery — and you will apply it in data platform contexts, developing data warehouse and pipeline depth as you go.

You will work closely with Solutions Architects, engineering teams, and client stakeholders to implement scalable, well-governed solutions that drive measurable business value. Familiarity with data platforms like Snowflake or Redshift is a plus, but it is not a prerequisite — what matters most is your cloud engineering foundation and your ability to deliver in a consulting environment.

Qualifications

• 6+ years of hands-on experience in DevOps, cloud platform engineering, or infrastructure — ideally including client-facing or consulting delivery experience.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field — or equivalent practical experience.

Requirements

• Strong cloud platform experience across AWS and/or Azure, including core infrastructure services (e.g., S3, ADLS, IAM, networking, compute, secrets management).
• Proven hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) — including authoring, extending, and maintaining IaC in team environments.
• Solid experience designing and operating CI/CD pipelines and tooling (e.g., GitHub Actions, Bitbucket Pipelines, Azure DevOps) for platform and application deployments.
• Proficiency in Python for scripting, automation, and operational tooling in cloud-native environments.
• Working knowledge of SQL — ability to read, write, and debug queries to support platform troubleshooting and data flow validation.
• Working knowledge of Unix/Linux environments and common system administration and scripting concepts.
• Strong troubleshooting, performance tuning, and root-cause analysis skills across cloud infrastructure and platform services.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Experience delivering projects for external or internal clients in a professional services, consulting, or managed services environment.
• Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.
• Strong written and verbal communication skills in English, with the ability to clearly explain technical issues and solutions to non-technical stakeholders.
• Demonstrated ability to work effectively with distributed and cross-functional teams across engineering, sales, and support.
• Proven track record of taking full ownership, managing multiple concurrent priorities, and delivering high-quality work with minimal supervision.
• Openness to learning new technology stacks — including data platform technologies — and helping up-skill other team members.

Benefits

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive compensation, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications