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Architect and develop cloud-agnostic platform solutions that operate across AWS, Azure, and on-premises Kubernetes clusters, ensuring scalability, resilience, and security.
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Lead the design of enterprise-grade container orchestration and AI workload management strategies.
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Design and build internal SDKs, APIs, and reusable platform services that standardize AI workflows across hybrid environments.
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Define and implement GitOps strategies (e.g., Argo CD) to automate cluster lifecycle management and enforce declarative configuration across environments.
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Develop and maintain reusable Helm charts, manifests, and deployment templates that promote consistency, portability, and operational excellence.
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Establish CI/CD standards and infrastructure-as-code practices (Terraform or equivalent) to support scalable, secure deployments.
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Integrate AI platform tooling with enterprise identity, logging, observability, governance, and compliance systems.
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Provide technical leadership in architecture reviews, code reviews, and design discussions; drive engineering best practices across teams.
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Mentor junior engineers and contribute to a culture of continuous improvement, technical excellence, and knowledge sharing.
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Operate effectively in a highly regulated, security-conscious environment, ensuring adherence to enterprise and industry standards.
Qualifications You Must Have:
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Typically requires a University Degree or equivalent experience and minimum 5 years prior relevant experience, or an Advanced Degree in a related field and minimum 3 years experience
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Demonstrated experience designing and operating Kubernetes-based platforms in cloud and/or hybrid environments.
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Strong proficiency in Python and Infrastructure as Code (Terraform or equivalent).
Qualifications We Prefer:
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Experience applying GitOps practices using Argo CD or similar tools to manage multi-cluster environments.
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Deep understanding of CI/CD pipelines, automation frameworks, and DevOps platform engineering principles.
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Experience designing reusable platform components and developer enablement tooling (SDKs, APIs, templates).
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Familiarity with AI/ML platforms, model lifecycle management, data pipelines, and agent frameworks.
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Experience integrating AI systems with enterprise identity, access management, and governance controls.
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Proficiency in additional languages such as Go or Node.js.
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Strong understanding of DevOps and AIOps strategies, championing containerization and Infrastructure as Code best practices at scale.
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Proven ability to navigate ambiguity, define technical direction, influence stakeholders, and drive end-to-end platform solutions.
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Demonstrated technical leadership, including mentoring engineers and contributing to architectural standards.
Work Location: REMOTE
Please Consider the following role type definition as you apply for this role:
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This position is currently designated as remote. However, the successful candidate will be required to work from one of the 50 U.S. states (excluding U.S. Territories). Employees who are working in Remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed
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.
Learn More & Apply Now!
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 86,800 USD - 165,200 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.
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