Remote Linux Devops Engineer Jobs (NOW HIRING)

Job Title: DevOps EngineerJob Description

This role focuses on designing, deploying, and maintaining scalable infrastructure that supports complex data pipelines and distributed systems. You will build and optimize CI/CD workflows, manage containerized and Kubernetes-based environments, and ensure reliable, performant systems on Google Cloud Platform. The position requires close collaboration with engineering and data teams to streamline deployment processes, enhance observability, and support data operations across relational databases and lakehouse architectures.

Responsibilities

• Design, deploy, and maintain scalable infrastructure to support data pipelines and distributed systems.

• Build, optimize, and maintain CI/CD workflows using GitHub and GitHub Actions.

• Manage containerized environments using Docker and orchestrate workloads with Kubernetes in production.

• Develop and maintain data pipeline integrations leveraging streaming and messaging systems such as Kafka and RabbitMQ.

• Implement log ingestion, parsing, and monitoring solutions using Logstash and Grok.

• Support and optimize systems running on Google Cloud Platform, focusing on performance, reliability, and cost efficiency.

• Work with Python-based tooling to support automation, infrastructure, and data operations.

• Manage and support data across relational database management systems (RDBMS) and data lakehouse environments.

• Troubleshoot production issues, perform thorough root cause analysis, and implement robust long-term fixes.

• Collaborate closely with engineering and data teams to streamline deployment processes and improve data operations.

• Contribute to the design and implementation of multi-cloud and hybrid infrastructure where applicable.

Essential Skills

• 10+ years of experience in infrastructure engineering with exposure to data engineering and data pipelines.

• Strong experience working with Linux systems in production environments.

• Extensive hands-on experience with Docker-based deployments.

• Proven experience managing Kubernetes clusters in production.

• Proficiency with Python for tooling, automation, and data-related workflows.

• Working knowledge of relational database management systems (RDBMS).

• Working knowledge of data lakehouse architectures.

• Experience with streaming and messaging systems such as Kafka and RabbitMQ.

• Experience with log processing and monitoring tools, including Logstash and Grok.

• Demonstrated experience building and maintaining CI/CD pipelines using GitHub and GitHub Actions.

• Solid experience working within Google Cloud Platform (GCP).

• Strong understanding of CI/CD concepts and best practices.

• Ability to troubleshoot complex production issues and perform root cause analysis.

Additional Skills & Qualifications

• Experience with Snowflake and/or Google BigQuery.

• Familiarity with Microsoft Azure environments.

• Exposure to multi-cloud infrastructure and hybrid deployment models.

• Experience supporting data-intensive applications and distributed systems.

• Ability to collaborate effectively with cross-functional engineering and data teams.

• Strong problem-solving skills and a focus on reliability, performance, and cost optimization.

Work Environment

This is a 100% remote position, offering flexibility to work from your preferred location while collaborating closely with distributed engineering and data teams. You will work in a modern cloud-native environment centered on Google Cloud Platform, leveraging tools such as Docker, Kubernetes, GitHub, GitHub Actions, Logstash, and Grok. The role involves working with Linux-based systems, CI/CD pipelines, and data platforms including RDBMS and lakehouse technologies. Communication and collaboration take place primarily through online tools and virtual meetings, enabling an environment that supports autonomy, accountability, and continuous improvement.

Job Type & Location

This is a Contract position based out of Wilmington, MA.

Pay and Benefits

The pay range for this position is $58.00 - $64.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Jun 12, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.