M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations who desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include digital transformation, software development, cloud migration, applications & infrastructure, cybersecurity, data delivery & analytics, and IT talent solutions. M9 Solutions is seeking Junior SailPoint Developers to work remotely in support of a government contract for a client located in Washington, DC. An active Secret clearance is required. Responsibilities - Leads end-to-end onboarding efforts, including requirements gathering, solution design, connector configuration, workflow development, and deployment. - Performs detailed entitlement analysis, access mapping, and attribute modeling to ensure applications are accurately represented within the IAM ecosystem. - Configures and validates provisioning, deprovisioning, certification, and lifecycle event processes while troubleshooting advanced issues related to connectivity, schema discovery, and rule execution. - Collaborates closely with application owners, security teams, and business stakeholders to ensure integrations meet functional, security, and compliance standards. Required Skills and Qualifications - Active Secret security clearance. - 2–3 years of hands-on SailPoint IdentityIQ application onboarding. - Deep expertise in SailPoint IIQ. - Strong development skills in Java and Beanshell. - Solid understanding of IAM principles, governance models, and enterprise security requirements. - Experience with Web Services, Oracle EBS, LDAP, JDBC, and Active Directory. - Strong cross-functional collaboration skills with the ability to work effectively with technical and non-technical stakeholders. Full-Time Employee Compensation - M9 Solutions’ pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the position, education, experience, knowledge, skills, abilities, as well as internal equity, location, alignment with market data, applicable bargaining agreement (if any), or other law. - M9 Benefits - https://m9solutions.com/why-join-m9/#our-benefits Salary Range $60,000—$180,000 USD M9 Solutions, LLC (M9) is a Federal contractor and we comply with all applicable federal laws prohibiting discrimination in employment, including Title VII of the Civil Rights Act of 1964. We also adhere to the affirmative action requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Section 503 of the Rehabilitation Act, ensuring equal opportunity for veterans and individuals with disabilities. Please click here to complete M9's Voluntary Self-Identification Form and then email it to hr@m9solutions.com. If you need accommodation during the application process or encounter difficulties using our website, please contact our Human Resources Department at hr@m9solutions.com or 703-936-0880. With 14+ years of proven delivery and steady growth, M9 Solutions is a unique small business with credible past performance and key capabilities offering project management services, solution architects, business analysts, program managers, technical architects, and technical consultants. M9 was recognized as an Inc. 5000 Fastest-Growing Private Companies in 2021, 2020, 2019, 2018, 2017, 2016, and 2012. M9 Solutions believes that work should be fun, rewarding, and something everyone can be excited about. We offer a competitive compensation package and value diversity in driving the vision of the company.

Role Description - Ship ML-powered product features end-to-end: - design, implement, test, deploy, and operate customer-facing functionality that uses ML. - Build application and service layers around models: - implement APIs, services, and workflows that handle model inputs/outputs, versioning, fallbacks, and edge cases. - Partner with Data Science to productionize models: - turn prototypes into robust, measurable, maintainable production systems. - Own production quality: - monitoring/alerting, debugging, incident response, performance tuning, and cost/latency optimization for ML-enabled services. - Develop validation and QC processes: - implement automated testing, evaluation harnesses, and regression checks to ensure system and model behavior remains correct over time. - Contribute to internal tooling: - improve developer experience through shared libraries, templates, CI/CD improvements, and automation that accelerates ML iteration. - Work on complex optimizer/core logic when needed: - contribute to algorithmic and performance-critical code paths with a focus on correctness and efficiency. - Lead through influence: - drive technical design, code quality, and best practices; collaborate cross-functionally with Product and Engineering. Qualifications - 8+ years software engineering background shipping production services and customer-facing features. - Solid systems experience: API design, reliability, observability, scalability, performance, and secure engineering practices. - Experience integrating machine learning into applications (e.g., model serving, batch scoring, feature pipelines, embeddings/vector workflows, model versioning). - Comfort working with data-intensive systems (large datasets, pipelines, data quality checks). - Ability to work across functions—translating ML behavior and constraints into product requirements and robust implementations. - Ownership mindset in an ambiguous, fast-moving environment. Requirements - Experience building internal platforms/tools for ML teams (evaluation pipelines, deployment automation, experiment tracking, guardrails). - Experience with optimization, routing/scheduling, or other algorithm-heavy domains. Company Description OneRail is a leading omnichannel fulfillment solution pairing best-in-class software with logistics as a service to provide dependability and speed to help businesses meet their delivery promise. With a real-time connected network of 12 million drivers, OneRail matches the right vehicle for the right delivery so brands lower expenses and increase capacity to rapidly scale their businesses. This people-plus-platform approach features a 24/7 USA-based exceptions team who maintain a 98% on-time delivery rate. By optimizing fulfillment processes, reducing costs and improving order accuracy with store-shelf-to-doorstep visibility, OneRail is committed to empowering clients and improving the customer experience. OneRail was named to the Deloitte Technology Fast 500™ two years in a row, was ranked 19th in the 2025 FreightTech 25, named for the fifth year in a row to the FreightTech 100, was honored as one of Inc. magazine’s Best Workplaces 2023, was listed on Forbes’ lists of America’s Best Startup Employers for the last three years, was named to the Inc. 5000 two years in a row and was selected as the Last Mile Company of the Year for the 2024 SupplyTech Breakthrough Awards. To learn more about OneRail, visit OneRail.com.

• Develop and maintain mobile applications using React Native, Kotlin, and Java • Implement responsive UI components and reusable libraries for cross-platform consistency • Use Redux, Hooks, and Context API for efficient state management • Write clean, modular code in JavaScript and TypeScript following best practices • Collaborate with designers and backend engineers to integrate APIs and deliver polished features • Optimize performance across devices and screen sizes • Participate in code reviews, testing, and continuous integration workflows • Stay updated with emerging front-end technologies and contribute to UI/UX improvements

• Contribute to the foundational technology powering Adaptive ML, with support and guidance from the team • Help advance projects by implementing features, running experiments, or improving reliability • Communicate clearly about your work and learn to collaborate in a distributed team environment • Write clear, well-structured code (primarily in Python; exposure to systems programming is a plus, not a requirement) • Help debug issues in distributed or ML-heavy systems • Learn best practices for performance, testing, and robustness • Assist with research on large language models and reinforcement learning • Reproduce and analyze results from recent ML literature • Support empirical experiments and help document findings • Interns are encouraged to explore both areas of engineering and research