> Markdown version of [/jobs/ext/2657976-senior-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2657976-senior-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Platform Engineer - **Company:** RTX - **Location:** Glastonbury, CT, United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Cloud Engineering, Software Documentation, Continuous Integration, Python (Programming Language), Machine Learning, Node.Js, Software Engineering, Software Systems, SQL Databases, Cloud Platform System, Large Language Models, Generative AI, Data Management, Machine Learning Operations, Restful APIs - **Published:** August 29, 2026 - **Apply:** https://www.careerjet.com/job/us11f3bd5fa03c7e33887eb448ddb2d0ce/eaa ## About the Role 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 5+ years of experience with data science and machine learning. 5+ years of experience with the Software Development Life Cycle and software application / product development, including Python and the Python scientific stack. Qualifications We Prefer A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets. Relevant experience with cloud computing platforms (AWS and/or Azure.) Organizational skills for knowledge, documentation, and data management Other helpful experience: SQL, Node, REST APIs, testing libraries. Experience building products that use Large Language Models (LLMs) and LLM APIs. Technical leadership experience, such as being the engineering lead for a program, product, or large project. Experience as part of a multi-disciplinary team Experience with cloud computing. 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. ## Description Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to support the team as we bring advanced data capabilities to RTX. Be the system integrator for APIs, SDKs, and other automation activities: lead multi-disciplinary efforts to bring advanced AI/ML capabilities to RTX through production software and cloud engineering, including generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering. This includes ensuring that capabilities are designed, implemented, maintained, observed, and supported from end-to-end. Maintain both high level and low level views of technical systems, and coordinate with teams and subject matter experts from other disciplines to realize successful realization. Design, write, test, and deploy production quality software capabilities that are maintainable, automated (CI/CD), scalable, observable, organized, and readable. Ensure best practices are maintained, including quality and CI/CD automation. Advise technical support and building of user documentation Mentor early and mid career team members, supporting their ascension to senior and lead roles. What You Will Learn How you work best, how to reach your potential, and how you can overcome, persevere, and sustain. Multi-disciplinary technical leadership How to balance short term tactical needs with long term strategic goals. ## Related Videos - [Stop using Node.js like in 2020! 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