GenOps Platform Engineer

Company: RTX
Location: Farmington
Posted on: April 1, 2026

Job Description:

Date Posted: 2026-02-20 Country: United States of America Location: US-CT-FARMINGTON-0004 ~ 4 Farm Springs Rd ~ 4 FARM SPRINGS Position Role Type: Hybrid U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance Type: None/Not Required Security Clearance Status: Not Required RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA. Position Overview: This position is part of the Enterprise Services – Data & AI organization within RTX Corporate, supporting the company’s mission to develop and scale AI capabilities responsibly and securely across the enterprise. The GenOps Platform Engineer will design and implement the software and infrastructure that enable scalable and secure AI applications across RTX. The role focuses on developing APIs, orchestration services, and observability capabilities that connect AI models and intelligent systems with enterprise data and services. What You Will Do: Design, build, and maintain scalable, reliable APIs and orchestration services for AI and automation platforms. Integrate cloud and on-prem AI services (Azure AI, Databricks, AWS Bedrock, Anthropic). Implement telemetry and observability using OpenTelemetry and MLflow. Containerize and deploy microservices with Docker and Kubernetes. Partner with Infrastructure, Security, and Compliance to meet enterprise and regulatory standards. Optimize AI platforms for performance, cost-efficiency, reliability, and security through continuous improvement and modular IaC (Terraform/CloudFormation). Qualifications You Must Have: Typically requires a University Degree or equivalent experience and minimum 10 years prior relevant experience, or an Advanced Degree in a related field and minimum 7 years experience Microservices, REST, Docker, Kubernetes Qualifications We Prefer: Experience designing and scaling secure, cost-efficient enterprise AI/ML infrastructure. Strong DevOps/DevSecOps background, including CI/CD and Infrastructure as Code. Hands-on development of AI agents and Python-based APIs (e.g., FastAPI) for production use cases. Experience with cloud AI/ML platforms (AWS/Azure), messaging systems (Kafka/Service Bus), and monitoring/observability tools. Familiarity with regulated, large-scale enterprise environments. Work Location This is a hybrid role, eligible candidates must reside within commuting distance from Farmington, CT, additional locations will be considered MA, TX, IA, CA What We Offer: Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Keywords: RTX, Farmington , GenOps Platform Engineer, IT / Software / Systems , Farmington, New Mexico