It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Are you looking to join a dynamic company that truly values their employees, offers great benefits, and has a “people first” culture? At ERPA, we encourage our employees to be innovative and welcome new ideas. Empathy, responsibility, passion, and agility are the values that ERPA emulates in the workplace and seeks in our employees. ERPA is a client-focused technology services firm committed to maximizing the value of our clients' Workday investments. We specialize in implementing Workday solutions for higher education and government organizations, while also providing comprehensive, ongoing support for clients across diverse industries. Our team partners closely with clients to optimize their Workday environments, offering services such as application management, Workday evolution and expansions (Phase X implementations), follow-on solutions, analytics, and continuously enhance the user experience. Position Summary: ERPA is seeking a certified Workday HCM Data Conversion Consultant who is passionate about helping Workday clients achieve, visualize, and quantify their software investment. The Workday HCM Data Conversion Consultant will work remotely and will be responsible for supporting data conversion implementation and post-production projects. This role will actively contribute to the development of ERPA’s Workday practice and should showcase innovation, strategic thinking and have the drive to make ERPA a Workday partner of choice. Key Responsibilities: - Provide consulting services on multiple client engagements with limited direction - Build, validate and conduct data conversion and strategy for third-party systems into Workday. - Design, architect, develop, and deploy functional business process, data conversion and reporting solutions. - Understand client business requirements and provide guidance throughout design, configuration and prototype, and assist clients with testing and move to production efforts - Partner with Engagement Managers to keep them informed of project status, changes, etc. - Collaborate with cross-functional counterparts to ensure clear lines of communication and project alignment - Accurately maintain forecast in a timely manner - Assist Sales team with orals, demos, and LOEs - Stay up to date on industry knowledge, Workday enhancements, and be able to advise on Workday best practices Provide Exceptional Customer Service to build lasting relationships with clients Experience and Education Requirements: - The following Workday Certifications with Implementer access are required: Workday HCM Core and Workday Data Conversion Services - 1+ years of consulting experience leading, building, validating and conducting data conversion in Workday for multiple functional areas, such as HCM, Benefits, Recruiting, Talent, Learning, Core Compensation, Advanced Compensation, Payroll, Absence, Time Tracking, Finance - Experience with EIBs, Advanced Loads, Object Transporter, and loading baseline configuration is required. - Workday implementation experience is required. AMS/Post-Production Support experience is a plus. - Experience with ticketing systems such as Jira, ServiceNow, SalesForce, ZenDesk, etc. preferred - Demonstrate strong, agile communication and presentation skills in order to adapt to various audiences - Advanced knowledge of Microsoft Office Suite, specifically Microsoft Excel and PowerPoint - Must demonstrate exceptional customer service skills - Location: USA, Canada or Mexico - Sponsorship: Open to candidates who require sponsorship transfer Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job. Applicants are considered for all positions in accordance with statutes and regulations concerning non-discrimination on the basis of race, ancestry, age, color, religion, sex, national origin, sexual orientation, gender identity, non-disqualifying disability, veteran status, or other protected classification. ERPA is an equal opportunity employer, as well as a substance and tobacco free workplace. All offers of employment are contingent on successfully passing the pre-employment drug screen and background investigation which may include reference checks, criminal background investigation, and when applicable licensing verification. Applicants must be legally authorized to work in the United States on a full-time basis. We will not consider any applicants that require sponsorship for employment visa status either now or in the future. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Notice: We use E-Verify to confirm the identity and employment eligibility of all new hires.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Auria is looking to hire a PART-TIME Software Engineering Intern to join our Commercial & Public Sector (CPS) team, where you’ll work alongside experienced engineers building real products used in aerospace and national security missions. This role is remote with preference for candidates in Colorado or Washington, DC Metro Area. This is not a “shadow and observe” internship. You’ll contribute directly to production software, collaborate with a high-performing engineering team, and gain exposure to modern development practices used in real-world mission systems. If you're passionate about building software, solving complex technical problems, and learning from engineers working at the forefront of space technology, we'd love to meet you. As a Software Engineering Intern, you will work with our engineering team to design, build, and improve software used in operational systems. Responsibilities may include: - Developing software using C#, .NET, React, and Python - Contributing to front-end and back-end development for web-based applications - Designing and implementing new features in collaboration with senior engineers - Writing clean, maintainable, and well-documented code - Developing and executing automated tests to ensure software quality - Investigating and resolving software defects and performance issues - Participating in agile development activities including sprint planning and code reviews - Learning modern engineering practices such as CI/CD, automated testing, and version control workflows Qualifications - Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field - Interest in building modern software systems and learning industry best practices - Strong problem-solving ability and curiosity to learn new technologies - Ability to work collaboratively in a distributed team environment Requirements - Collaborative contributor motivated by the opportunity to develop cutting-edge solutions that protect and serve both the nation and the world Preferences - Object-oriented software development, C# / .NET development, JavaScript or TypeScript with React, SQL and relational database design - Understanding of the software development lifecycle (SDLC) - Experience with Git or other version control systems - Strong communication and technical documentation skills - Interest in aerospace, space systems, or mission software Pay Transparency The wage offered will be based on the selected candidate’s college year. $22/hr. - $33/hr. Application Deadline March 13, 2026 Company Description Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers’ missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Principal Software Development Engineer - Member Domain Join us at the start of a new era in health care where technology is transforming how and where care is delivered, creating a more connected, effective care experience for all. Our mission at Signify Health is to build trusted relationships to make people healthier. We do this by transforming the home into a health hub through a combination of data, technology & people. We are building a unified technology platform for value-based care that is improving care and reducing spending by treating patients in lower-cost settings and linking providers’ payments to patient outcomes. Signify Health is driving this industry transformation and solving some of the most challenging problems in healthcare – this is where you come in! About the Role As a Principal Software Engineer in the Member domain at Signify Health, you'll play a pivotal role in leading engineering initiatives, mentoring developers, and engineering productivity and scaling our technical capabilities via the use of AI. You'll leverage your deep expertise in distributed systems and application-level technologies to design, build, and evangelize reusable solutions, libraries, and tools. This role is for a technically skilled, passionate individual who thrives on empowering other engineers, reducing cognitive load, and fostering consistency across a rapidly growing organization. Responsibilities - Design, develop, and maintain high-quality, reusable reference libraries, frameworks, and foundational services that empower application teams to build scalable and robust solutions (e.g., common patterns for Kafka integration, gRPC/Protobuf communication, and Role-Based Access Control (RBAC)). - Create comprehensive, documentation-first resources, examples, and templates that serve as blueprints for engineering teams. - Collaborate closely with product-aligned engineering teams to understand their needs and ensure enablement solutions are practical, maintainable, and widely adopted. - Contribute to fostering a culture of technical excellence, standardization, and continuous improvement across the engineering organization. - Provide guidance and support to engineering teams on the effective adoption and utilization of enablement tools and libraries. - Independently drive the design, development, and delivery of reusable tools and libraries from conception to completion, effectively managing project scope and communicating progress. Basic Qualifications - 15+ years of progressive experience as a Software Engineer, with a strong background in designing, building, and operating scalable backend services and APIs. - At least 1-2 years of deep learning AI experience where you have used deep learning to develop, train and deploy deep learning models to production. - 1+ years of using tools like Cursor, Cluade Code or similar toos to increase SDLC velocity - 3+ years of Golang experience - Strong experience with SQL based DBs at scale - Have a deep understanding and practical experience with event-driven architectures and messaging systems, particularly Apache Kafka. - Have a strong proficiency in designing and implementing high-performance communication protocols, including gRPC and Protobuf. - Have a proficiency in one or more high-level programming languages such as C#, Java, and Golang. - Have a solid foundation in software engineering principles: problem-solving, data structures, algorithms, and design patterns. - Have a strong understanding of database systems and RESTful API design. - Have experience with cloud platforms (Azure, AWS, or GCP) and containerization technologies (Docker, Kubernetes). - Have exceptional interpersonal and communication skills, with a proven ability to collaborate effectively with diverse technical teams, articulate complex technical concepts clearly, and actively listen to understand varied perspectives and needs. - Have ability to work autonomously, prioritize tasks, and manage multiple initiatives simultaneously in a fast-paced environment, while consistently delivering high-quality results. - Have advanced communication skills to convey complex technical concepts to technical and non-technical audiences. - Be able to influence technical direction and decision-making across multiple teams and organizational levels. - Be able to present ideas, proposals, and solutions effectively in both verbal and written formats. - Be able to resolve technical conflicts and foster a collaborative, positive work environment. - Be able to collaborate inclusively with cross-functional teams (engineering, product, design, architecture) to align on solutions. - Be able to build consensus across teams by navigating differing opinions and guiding toward effective compromises. - Be able to to drive innovation by introducing new technologies and methods to solve complex problems. - Be able to to align technical strategies with organizational goals, balancing technical excellence with business impact. - Be able to serve as a go-to expert for complex technical challenges within the domain. - Be able to establish and promote high standards for code quality, maintainability, and efficiency. - Be able to stay current with emerging technologies and industry trends, inspiring teams to adopt best practices. Preferred Qualifications - Have experience leading data scientists in training AI models - Bachelor's degree in Computer Science or related field, or equivalent practical experience. - Prior experience in an Engineering Enablement, Platform, or Developer Experience role. - Demonstrated success in creating and maintaining shared libraries, internal tools, or standardized patterns for engineering teams. - Familiarity with code generation techniques (e.g., for Protobuf, database schemas). - Experience with observability tools and practices (logging, metrics, tracing, e.g., New Relic, Prometheus, Grafana). - Strong understanding of CI/CD pipelines and developer tooling. - Comfortable working with and contributing to open-source projects or internal equivalents. - A strong personal passion for developer productivity, standardization, and knowledge sharing. About Signify Health Signify Health is helping build the healthcare system we all want to experience by transforming the home into the healthcare hub. We coordinate care holistically across individuals’ clinical, social, and behavioral needs so they can enjoy more healthy days at home. By building strong connections to primary care providers and community resources, we’re able to close critical care and social gaps, as well as manage risk for individuals who need help the most. This leads to better outcomes and a better experience for everyone involved. Our high-performance networks are powered by more than 10,000 mobile doctors and nurses covering every county in the U.S., 3,500 healthcare providers and facilities in value-based arrangements, and hundreds of community-based organizations. Signify’s intelligent technology and decision-support services enable these resources to radically simplify care coordination for more than 1.5 million individuals each year while helping payers and providers more effectively implement value-based care programs. We are committed to equal employment opportunities for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. To learn more about how we’re driving outcomes and making healthcare work better, please visit us at www.signifyhealth.com. Pay Range The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/27/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

About the Job Do you want to help shape the future of AI by building robust infrastructure and tools for developing trustworthy large language models and agentic workflows? We're seeking a software engineer who combines strong systems engineering skills with a passion for AI safety to develop frameworks that ensure AI systems behave reliably and align with human values. The OpenShift AI team is looking for a Senior Software Engineer with Kubernetes and MLOps or LLMOps experience to join our rapidly growing engineering team. Our team’s focus is to make machine learning model deployment and monitoring seamless, scalable, and trustworthy across the hybrid cloud and the edge. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms. In this role, you'll be contributing as a technical infrastructure expert for responsible AI features of the open source Open Data Hub project by actively participating in KServe, TrustyAI, Kubeflow, and several other open source communities. You will work as part of an evolving development team to rapidly design, secure, build, test and release model serving, trustworthy AI, and model registry capabilities. The role is primarily an individual contributor who will be a key notable contributor to trustworthy AI and MLOps/LLMOps upstream communities and collaborate closely with the internal cross-functional development teams. What you'll do - Lead the architecture and implementation of MLOps/LLMOps systems within OpenShift AI, establishing best practices for scalability, reliability, and maintainability while actively contributing to relevant open source communities - Design and develop robust, production-grade features focused on AI trustworthiness, including model monitoring, bias detection, and explainability frameworks that integrate seamlessly with OpenShift AI - Drive technical decision-making around system architecture, technology selection, and implementation strategies for key MLOps components, with a focus on open source technologies like KServe and TrustyAI - Define and implement technical standards for model deployment, monitoring, and validation pipelines, while mentoring team members on MLOps best practices and engineering excellence - Collaborate with product management to translate customer requirements into technical specifications, architect solutions that address scalability and performance challenges, and provide technical leadership in customer-facing discussions - Lead code reviews, architectural reviews, and technical documentation efforts to ensure high code quality and maintainable systems across distributed engineering teams - Identify and resolve complex technical challenges in production environments, particularly around model serving, scaling, and reliability in enterprise Kubernetes deployments - Partner with cross-functional teams to establish technical roadmaps, evaluate build-vs-buy decisions, and ensure alignment between engineering capabilities and product vision - Provide technical mentorship to team members, including code review feedback, architecture guidance, and career development support while fostering a culture of engineering excellence - Responsible for the safe, auditable, and reliable release of Kubernetes-native AI platform components, with strong emphasis on progressive delivery, operational resilience, and supply-chain integrity. What you'll have - 5+ years of software engineering experience, with at least 4 years focusing on ML/AI systems in production environments - Strong expertise in Python, with demonstrated experience building and deploying production ML systems - Deep understanding of Kubernetes and container orchestration, particularly in ML workload contexts - Extensive experience with MLOps tools and frameworks (e.g., KServe, Kubeflow, MLflow, or similar) - Track record of technical leadership in open source projects, including significant contributions and community engagement - Proven experience architecting and implementing large-scale distributed systems - Strong background in software engineering best practices, including CI/CD, testing, and monitoring - Experience mentoring engineers and driving technical decisions in a team environment The following is considered a plus - Experience with Red Hat OpenShift or similar enterprise Kubernetes platforms - Contributions to ML/AI open source projects, particularly in the MLOps space - Background in implementing ML model monitoring, explainability, or bias detection systems - Experience with LLM operations and deployment at scale - Public speaking experience at technical conferences - Advanced degree in Computer Science, Machine Learning, or related field - Experience working with distributed engineering teams across multiple time zones - Familiarity with AI governance and responsible AI practices #LI-EK1 The salary range for this position is $133,650.00 - $220,680.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.