Deployment Engineer

Insight Global; Austin (TX); Remote; Full time

Job summary

A leading robotics company is seeking a DevOps Engineer to join their Data Platform team. This role is essential for ensuring the reliability and performance of data infrastructure, requiring strong experience in DevOps practices and a passion for data and robotics. Candidates will work closely with various teams to develop and maintain data workflows.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• Strong experience with DevOps tools and practices.
• Professional experience designing and maintaining CI/CD pipelines.
• Working experience with cloud platforms (AWS, GCP, Azure).

Responsibilities

• Ensure reliability, scalability, and performance of data infrastructure.
• Build, maintain, and test robust data pipelines and systems.
• Work closely with data analysts and engineers.

Skills

Containerization

Orchestration

CI/CD pipelines

Cloud platforms

Infrastructure as Code

Automated testing

Monitoring and alerting

Job description

1 week ago Be among the first 25 applicants

This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $90.00/hr

Location: REMOTE in Austin, TX 78758 - flexible to go onsite if needed

Shifts/Hours: 8:00am-5:00pm

Pay Rate: $70-90/hour (depending on experience)

Interview Process: 30-minute coding assessment and final round with manager – both interviews onsite

Must Haves:

• Strong experience with DevOps tools and practices, including Containerization (Docker), and Orchestration (Kubernetes)
• Professional experience designing, implementing and maintaining scalable and secure CI/CD pipelines for data workflows
• Working experience with cloud platforms (AWS, GCP, or Azure) and IaS/infrastructure-as-code tools (Terraform, Ansible)
• Experience deploying infrastructure to on-site and cloud environments
• Hands-on experience developing and implement automated testing frameworks for data pipelines and applications (Pytest)
• Experience setting up monitoring and alerting systems for data platform services and pipelines using tools like Prometheus, Grafana, or equivalent

Plusses:

Day-to-Day:

Seeking a DevOps Engineer to join the Data Platform team within a leading robotics company. This role is critical in ensuring the reliability, scalability, and performance of the data infrastructure, and will work closely with data analysts, engineers, and developers to build, maintain, and test robust data pipelines and systems that support the entire organization. The ideal candidate will have a strong background in DevOps practices, automation, and testing, with a passion for data and robotics.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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