Job Title: DevOps Engineer
Job Description
This DevOps Engineer role focuses on creating, maintaining, supporting, and continuously improving complex cloud operations for cutting-edge, microservice-based platforms. You will collaborate closely with DevOps Engineers, Data Engineers, Software Engineers, Data Scientists, Agile Delivery Leads, and Technical Product Managers to drive innovation in mobility, safety, and convenience services. The position suits someone who enjoys solving complex problems, thinking big, and working hands-on with modern cloud, automation, and CI/CD technologies.
Responsibilities
Lead initiatives by defining project objectives, developing project schedules, preparing cost estimates, forecasting and allocating resources, and ensuring timely delivery under the direction of a Product Manager or leadership.
Independently write, maintain, and refine complex automation scripts, focusing on readability, maintainability, and efficiency.
Perform advanced troubleshooting on automation scripts and systems that include multiple integration points across platforms and services.
Lead or actively participate in code reviews to improve overall script and code quality, offering and receiving constructive feedback.
Write clean, reusable, and high-quality code to solve novel or complex problems, and lead advanced code reviews to ensure adherence to best practices throughout the merge review process.
Design patterns, practices, and platform capabilities that enable developers to integrate and deliver software components efficiently and reliably.
Build, enhance, and maintain CI/CD pipelines to ensure a fully functional, robust, and scalable software delivery ecosystem.
Independently manage virtual servers, containers, and orchestration platforms, including provisioning, configuration, and lifecycle management.
Identify, design, and develop automation capabilities across local and cross-team or cross-organization environments that impact key business SLAs and KPIs.
Implement security measures across pipelines and infrastructure to protect data integrity and confidentiality.
Lead advanced troubleshooting and resolution of complex or novel system issues by analyzing logs, performance data, and overall system behavior.
Define and enforce consistent branching strategies to support parallel development, code isolation, and seamless integration across multiple teams.
Regularly review and analyze system performance metrics, proactively identify and resolve bottlenecks, and implement solutions to improve speed, reliability, and responsiveness.
Handle multi-region or multi-cloud network management, including zero trust networks and virtual private networks.
Assist in the planning and execution of canary deployments to safely roll out changes.
Perform chaos engineering activities focused on networking to test and validate system resilience.
Develop and implement strategies for network redundancy and disaster recovery to ensure high availability.
Ensure that network and cloud infrastructure can withstand and recover from failures or disasters with minimal impact on services.
Lead and facilitate technical discussions, sharing insights and recommendations grounded in DevOps principles and best practices.
Coach and mentor more junior DevOps Engineers by providing targeted feedback and guidance to help them improve technical skills, overcome challenges, and achieve specific goals.
Contribute to right-sizing and autoscaling strategies to support disaster recovery, handle peak performance times, and optimize cost.
Support one-click deployments and automated release processes using tools such as Terraform and other automation platforms.
Participate in an on-call rotation providing higher-level (4th level) support, including scripting-based troubleshooting and incident resolution.
Essential Skills
At least 3+ years of production experience working as a DevOps Engineer or Software Engineer.
Strong DevOps expertise with the ability to provide valuable insights and solve challenging problems in complex environments.
Expertise in Terraform to create, modify, and manage infrastructure configurations.
Experience with containerization technologies such as Docker and Kubernetes to build, package, and deploy optimized container images.
Proficiency in designing, implementing, and maintaining complex CI/CD pipelines across multiple environments.
Hands-on knowledge of AWS cloud platforms, including optimizing resource utilization and costs throughout the product lifecycle.
Experience with cloud architecture and design patterns to build scalable, resilient, and cost-effective cloud solutions.
Expertise with at least one scripting language (such as Python) to develop custom tools, automate workflows, and integrate with APIs.
Strong experience with version control systems, including branching, merging, and resolving merge conflicts.
Familiarity with information security policies and procedures, with the ability to adhere to security standards and identify gaps in security architecture.
Experience using monitoring and analytics platforms to set up monitors, alerts, and diagnostic tools for proactive issue detection and performance optimization across distributed systems.
Understanding of cloud billing and cost management tools to recognize and manage total costs.
Demonstrated advanced problem-solving, troubleshooting, and decision-making skills.
Organized and detail-oriented approach to managing tasks and projects.
Ability to build healthy working relationships and collaborate effectively with peers and leaders.
High standards of integrity and work quality.
Excellent verbal and written communication skills.
Commitment to valuing diversity and differences among individuals in day-to-day interactions.
Additional Skills & Qualifications
Experience with microservice-based architectures and platforms.
Experience with Azure in addition to AWS for multi-cloud or hybrid-cloud environments.
Experience in designing and implementing right-sizing and autoscaling strategies to support disaster recovery, peak usage periods, and cost optimization.
Strong focus on automation, including using tools and frameworks to validate and manage infrastructure as code.
Experience with automation tools such as Terraform and similar platforms (for example, tools like Carpenter or other automation solutions) to help organizations move from manual processes to automated, one-click deployments.
Experience implementing blue/green deployment strategies.
Experience participating in higher-level on-call rotations, including scripting-based investigation and resolution.
Familiarity with zero trust networks, virtual private networks, and multi-region or multi-cloud networking.
Experience with canary deployments and chaos engineering practices, particularly in networking @contexts.
Ability to quickly learn and apply new technologies, programming practices, patterns, and methods.
Work Environment
The role operates in a hybrid work model, with an expectation to work onsite three days per week and remotely for the remaining days. You will work in a collaborative environment alongside cross-functional teams, including engineering, data, and product roles, focused on cloud-native, microservice-based platforms. The technology stack centers on AWS and Azure cloud services, Terraform-based infrastructure as code, Docker and Kubernetes for containerization and orchestration, and modern CI/CD tooling for automated builds, tests, and deployments. The environment emphasizes automation, observability, and security, with extensive use of monitoring and analytics tools to manage distributed systems. An on-call rotation is in place for higher-level support, and the culture encourages knowledge sharing, technical discussions, mentorship, and continuous improvement.
Job Type & Location
This is a Contract position based out of Plano, TX.
Pay and Benefits
The pay range for this position is $55.00 - $75.00/hr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
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 hybrid position in Plano,TX.
Application Deadline
This position is anticipated to close on Sep 3, 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 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.
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.
