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Senior Controls Engineer Jobs in Rhode Island (NOW HIRING)

Senior DevOps AI Platform Engineer

NC · On-site +1

$130K - $167K/yr

Senior DevOps AI Platform Engineer Are you ready to take your career to the next level with a ... Implement enterprise DevSecOps controls in partnership with Information Security, including ...

Senior Actuation Engineer

North Kingstown, RI · On-site

$101K - $139K/yr

Role Overview As a Senior Actuation Engineer , you'll own the Aerodynamic and Hydrodynamic surface actuation controls that help REGENT deliver flight-capable Seaglider hardware safely and on schedule.

New

Senior Systems Engineer

Middletown, RI · Hybrid

$104K - $142K/yr

ORA_ON_SITE Description SAIC is seeking an experienced and highly motivated Senior Systems Engineer ... controls and data management, communications, signal generation and measurement, and structural ...

Senior Systems Engineer

Middletown, RI · On-site

$104K - $142K/yr

ORA_ON_SITE Description SAIC is seeking an experienced and highly motivated Senior Systems Engineer ... controls and data management, communications, signal generation and measurement, and structural ...

Senior Systems Engineer

Middletown, RI · On-site

$104K - $142K/yr

Description SAIC is seeking an experienced and highly motivated Senior Systems Engineer to lead ... controls and data management, communications, signal generation and measurement, and structural ...

Senior Systems Engineer

Middletown, RI · On-site

$104K - $142K/yr

Description SAIC is seeking an experienced and highly motivated Senior Systems Engineer to lead ... controls and data management, communications, signal generation and measurement, and structural ...

Showing results 21-40

Senior Controls Engineer information

See Rhode Island salary details

$70.5K

$112.4K

$150.8K

How much do senior controls engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for senior controls engineer in Rhode Island is $112,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $125,400.00 per year, depending on experience, location, and employer.

What is a senior controls engineer?

Senior Controls Engineers are experienced professionals who design, develop, and implement control systems for manufacturing processes, machinery, or automation equipment. They are responsible for programming controllers (such as PLCs), troubleshooting control system issues, and ensuring optimal system performance and safety. Senior Controls Engineers often lead project teams, mentor junior engineers, and collaborate with other departments to integrate new technologies. Their expertise is crucial for streamlining production, reducing downtime, and maintaining compliance with industry standards.

What are the typical responsibilities of a senior controls engineer in a manufacturing environment?

As a Senior Controls Engineer in a manufacturing setting, you can expect to lead the design, programming, and troubleshooting of automation systems such as PLCs, HMIs, and SCADA. Your responsibilities often include overseeing control system upgrades, optimizing equipment for efficiency, and ensuring compliance with safety standards. You will regularly collaborate with cross-functional teams—including maintenance, production, and IT—to implement solutions and support continuous improvement initiatives. Managing complex projects and mentoring junior engineers are also common aspects of the role.

What are the key skills and qualifications needed to thrive as a senior controls engineer?

To thrive as a Senior Controls Engineer, you need a strong background in electrical engineering, automation, and control systems, often supported by a relevant bachelor's degree and several years of experience in industrial automation. Expertise in PLC programming, SCADA systems, HMI development, and knowledge of industry standards and certifications like ISA or PE are typically required. Strong analytical thinking, project management, and excellent communication skills help distinguish top performers in this role. These competencies ensure the effective design, implementation, and troubleshooting of complex control systems, which are critical for operational safety, efficiency, and project success.

What is the difference between Senior Controls Engineer vs Controls Engineer?

AspectSenior Controls EngineerControls Engineer
Required CredentialsBachelor's degree in engineering, experience, possibly certifications like Certified Control Systems Technician (CCST)Bachelor's degree in engineering or related field, entry to mid-level experience
Work EnvironmentDesign, development, troubleshooting, project leadership in industrial or manufacturing settingsImplementing control systems, programming, testing, and maintenance in similar environments
Employer & Industry UsageManufacturing, automation, process control companiesSimilar industries, often as entry to mid-level roles within the same sectors

The main difference is experience level and responsibility. Senior Controls Engineers typically lead projects, design complex systems, and mentor junior staff, while Controls Engineers focus on implementing and maintaining control systems. Both roles require similar credentials and work in comparable environments, but the senior role involves more leadership and advanced technical skills.

What are the most commonly searched types of Controls Engineer jobs in Rhode Island?

The most popular types of Controls Engineer jobs in Rhode Island are:

What are popular job titles related to Senior Controls Engineer jobs in Rhode Island?

For Senior Controls Engineer jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Senior Controls Engineer jobs in Rhode Island look for?

The top searched job categories for Senior Controls Engineer jobs in Rhode Island are:

What cities in Rhode Island are hiring for Senior Controls Engineer jobs?

Cities in Rhode Island with the most Senior Controls Engineer job openings:

Infographic showing various Senior Controls Engineer job openings in Rhode Island as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $112,351 per year, or $54 per hour.

Senior DevOps AI Platform Engineer

NC • On-site, Remote

GXO Logistics
Transportation and Warehousing • 10K+ employees

$130K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


Key responsibilities

  • Establish and scale the enterprise DevOps operating model for GXO's Agentic AI Platform, including CI/CD standards, release governance, and deployment practices.

  • Design, build, and manage secure, automated, and scalable cloud platform capabilities supporting AI application delivery on Google Cloud Platform, Kubernetes, Terraform, and CI/CD ecosystems.

  • Collaborate with cross-functional teams to implement platform capabilities, automate operational processes, and ensure platform reliability and operational excellence.


GXO Logistics rating

7.2

Company rating: 7.2 out of 10

Based on 243 frontline employees who took The Breakroom Quiz


Job description

Continue to Grow with GXO.
At GXO, we know our greatest asset is people like you - energetic, innovative people of all experience levels and talents who make GXO a great place to work. Your career matters to us because your passion and excitement will help keep our company moving forward.
Senior DevOps AI Platform Engineer
Are you ready to take your career to the next level with a rapidly growing global company? As a Senior DevOps Platform Engineer, you will establish and scale the enterprise DevOps operating model for GXO's Agentic AI Platform. This role is responsible for building secure, automated, and scalable cloud platform capabilities that enable AI application delivery across Google Cloud Platform, Kubernetes, Terraform, and CI/CD ecosystems. You'll partner closely with Cloud Engineering, Platform Architecture, Security, and Product teams to drive developer productivity, platform reliability, and operational excellence. If you're looking for an opportunity to make a significant impact on enterprise AI infrastructure, join us at GXO.
Pay, benefits and more
We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.
What you'll do on a typical day
  • Establish the enterprise DevOps operating model for GXO's Agentic AI Platform, including CI/CD standards, branching strategies, release governance, environment promotion, deployment approvals, and operational handoff practices.
  • Design, build, and manage secure, repeatable CI/CD pipelines supporting AI platform infrastructure, platform services, agents, MCP servers, LiteLLM, Agent Gateway integrations, model-serving components, and supporting services.
  • Engineer, deploy, and operate Kubernetes-based platform capabilities on Google Kubernetes Engine (GKE), including deployment standards, Helm or Kustomize, autoscaling, network policies, workload identity, secrets management, ingress/egress, observability, and production runbooks.
  • Own Terraform infrastructure delivery by developing reusable modules, managing state, enforcing pull request controls, implementing policy guardrails, maintaining environment parity, detecting configuration drift, and promoting infrastructure across development, test, staging, and production environments.
  • Partner with the Principal Cloud Engineer to implement Google Cloud Platform foundations while leading day-to-day DevOps enablement, release engineering, Kubernetes operations, pipeline reliability, and developer experience.
  • Collaborate with the Principal Cloud AI Platform Architect to translate enterprise architecture standards, reference architectures, and architectural decision records (ADRs) into automated build, test, deployment, and operational processes.
  • Enable Phase 2 platform capabilities, including GKE-based open-source model serving, vLLM or comparable inference runtimes, scalable deployment patterns, model tiering infrastructure, and cost-governed platform operations.
  • Implement enterprise DevSecOps controls in partnership with Information Security, including vulnerability scanning, dependency scanning, container image hardening, Binary Authorization (or equivalent), secrets management, audit logging, and secure deployment gates.
  • Create standardized "paved road" developer workflows that enable engineers to provision environments, deploy AI agents, publish MCP services, test integrations, and promote code changes through approved automation.
  • Champion AI-assisted software engineering practices by enabling secure AI coding tools, automated testing, documentation generation, code review acceleration, pipeline diagnostics, and developer productivity improvements.
  • Build comprehensive observability across the platform through logs, metrics, traces, dashboards, alerts, SLOs, SLIs, deployment health monitoring, traceability, cost attribution, and operational readiness reporting.
  • Automate operational processes to reduce manual effort, improve incident response readiness, and maintain runbooks for releases, rollbacks, break-glass procedures, platform operations, and escalation processes.
  • Support secure integration between the AI platform and Snowflake-governed data access patterns through automated deployment, configuration, policy enforcement, and runtime observability.
  • Develop and maintain engineering documentation, including CI/CD standards, Terraform module guidance, Kubernetes operating procedures, release checklists, onboarding documentation, and operational runbooks.

What you need to succeed at GXO
At a minimum, you'll need
  • Bachelor's degree in computer science, Engineering, Information Technology, Cloud Computing, or a related technical field; equivalent hands-on experience may be considered.
  • Google Cloud Professional DevOps Engineer certification required.
  • Minimum of 8 years of platform engineering, DevOps, Site Reliability Engineering (SRE), infrastructure engineering, cloud engineering, or software delivery engineering experience.
  • Minimum of 5 years of hands-on Google Cloud Platform experience supporting production environments.
  • Deep expertise with Google Kubernetes Engine (GKE), including Kubernetes operations, workload identity, networking, autoscaling, ingress/egress, Helm or Kustomize, and production troubleshooting.
  • Expert-level experience developing and managing Terraform infrastructure, including reusable modules, state management, CI/CD integration, policy-as-code, infrastructure promotion, and drift management.
  • Strong experience designing and maintaining secure CI/CD pipelines using Cloud Build, GitHub Actions, GitLab CI, Azure DevOps, Jenkins, or similar platforms.
  • Experience implementing GitOps and DevSecOps practices, including code review automation, dependency scanning, container security, secrets management, signed artifacts, deployment approvals, and security guardrails.
  • Experience supporting cloud-native AI, machine learning, analytics, developer platform, or data platform workloads on Kubernetes and Google Cloud.
  • Ability to collaborate effectively with principal architects, cloud engineers, Information Security, product teams, and software developers to translate architectural vision into production-ready solutions.
  • Strong operational mindset with experience supporting incident response, root cause analysis, observability, production support, SLOs/SLIs, release readiness, and continuous operational improvement.
  • Excellent technical communication skills with the ability to develop engineering documentation, operating procedures, automation standards, and developer guidance.
  • Ability to influence engineering teams across a global matrix organization while driving adoption of modern DevOps and platform engineering practices.

It'd be great if you also have
  • HashiCorp Terraform Associate certification.
  • Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) certification.
  • Google Cloud Professional Cloud Architect, Cloud Security Engineer, or Machine Learning Engineer certifications.
  • Experience with AI platform technologies including LiteLLM, Agent Gateway, MCP servers, Vertex AI, Gemini, model routing, vLLM, or open-source model serving frameworks.
  • Experience enabling AI-assisted software development through secure coding assistants, automated testing, documentation generation, and developer productivity tooling.
  • Strong understanding of secure enterprise AI platform operations, cloud-native architecture, and scalable infrastructure automation.
  • Experience driving platform standardization, operational excellence, and developer enablement across large engineering organizations.
  • Self-starter with the ability to quickly establish credibility, operate independently, and make an immediate impact on the reliability, security, scalability, and velocity of enterprise AI platforms.

We engineer faster, smarter, leaner supply chains.
GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

What GXO Logistics employees say

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About GXO Logistics

Sourced by ZipRecruiter

GXO Logistics, located in Greenwich, CT, US, is a global leader in the logistics industry. Specializing in innovative supply chain management, it operates across various sectors including e-commerce, food and beverage, technology, and retail. The company has cemented a notable reputation for providing top-notch outsourcing solutions that equip businesses to respond to market changes quickly and efficiently. Originally part of XPO Logistics, GXO, officially separated and spun off as a unique corporation in 2021, taking with it decades of expertise and a robust client roster. Their mission is to propel businesses forward with cutting-edge logistics and transportation solutions while adhering to their core values of safety always, customer-centric, and inclusive.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US

Year founded

2021