Jobs at Azure Palm Hot Springs

This full-time SAP ABAP Developer role involves designing and implementing custom applications within a secure SAP environment to enhance system functionality. The position requires collaborating with business analysts to translate requirements into technical designs, developing RICEF objects, and creating user-friendly interfaces using SAP Fiori and OData services. Key responsibilities include performing code reviews, debugging, and optimizing performance for modules such as FI, MM, and SD. The role is appealing due to a comprehensive benefits package that covers 100% of health premiums, offers 401K matching, and provides professional development reimbursement. Candidates will work with modern technologies like S/4HANA and HANA in a collaborative setting, with opportunities for growth in a stable organization.

This full-time AI Agent Developer and Tester role supports a client in Salt Lake City by designing, building, and validating LangGraph-based agent workflows within the APEX platform. The position focuses on ensuring accuracy, stability, and scalability in non-deterministic LLM environments through comprehensive testing strategies. Key responsibilities include developing Python-based agent workflows, establishing unit and integration testing frameworks with mocked states, managing end-to-end UI testing via Playwright, and implementing regression discipline to prevent defects. The role offers the opportunity to work with cutting-edge AI technologies on Google Cloud Platform while driving quality standards for complex agent systems. The position is based on-site in Salt Lake City and emphasizes a culture of technical ownership and rigorous quality assurance.

The Training Specialist role supports the DMSS program within a Scrum Team to deliver complex training curricula for the CODIS system. Key responsibilities include analyzing software enhancements to design effective training approaches, developing instructional materials using tools like Articulate 360 and Adobe Captivate, and collaborating with stakeholders to ensure user needs are met. The position also involves updating knowledge bases and supporting software testing related to help systems. This opportunity appeals to candidates seeking a dynamic environment where they can apply instructional design expertise to improve technology tools and processes. The role is based in Stafford, VA, with a hybrid work arrangement requiring onsite presence three to four times per month.

This Senior DevOps Engineer role at Raft supports mission-critical data platforms for the Department of War, processing billions of daily events across cloud and on-premises environments. The position requires an active Secret clearance and involves designing secure Kubernetes infrastructure, managing GitOps-based CI/CD pipelines, and optimizing data streaming systems using Kafka and Flink. Key responsibilities include implementing Infrastructure as Code with Terraform, ensuring DevSecOps compliance, and collaborating with software engineers to enhance platform reliability and observability. The role appeals to candidates seeking high-impact work in a customer-obsessed culture that values innovation and collaboration. It offers a hybrid work arrangement with up to 25% travel, opportunities to work with cutting-edge AI and data technologies, and a supportive team environment focused on modernizing public-sector defense capabilities.

This hybrid Cyber Security Analyst role supports Odyssey Systems' mission to enhance warfighting capabilities by safeguarding critical defense infrastructure. Reporting to the Director of IT, the position involves monitoring security alerts across SIEM and cloud platforms, conducting incident triage and threat hunting, and managing user access controls. The role also includes supporting compliance initiatives and educating staff on security best practices. The position offers a collaborative environment focused on employee care and professional growth within a world-class engineering team. The work arrangement requires on-site presence at the Wakefield, MA headquarters from Tuesday through Thursday, with occasional travel to the Lincoln, MA office.

This senior-level database administration role supports a large, mission-critical client environment in Washington, DC, operating on a hybrid basis. The position involves managing complex Microsoft SQL Server infrastructure, including development of operational standards, disaster recovery planning, and performance tuning for national production applications. Key responsibilities include executing backup and restore strategies, optimizing query performance, supporting high-availability architectures like Always On, and collaborating with developers to resolve application issues. The role appeals to candidates seeking to work on high-visibility systems with significant autonomy, offering opportunities to lead technical initiatives and mentor staff within a collaborative team. Success requires flexibility for varied shifts, on-call availability, and occasional travel to support 24x7 operations.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and ensuring high availability and performance through cloud-based architectures and continuous deployment practices. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while adhering to responsible AI standards. The role is appealing for its opportunity to work with emerging technologies, apply the latest innovations in ML engineering, and lead teams in a collaborative environment. The position is based in McLean, VA, New York, NY, or Plano, TX.

This full-time Lead Machine Learning Engineer role within Capital One's Agile teams focuses on productionizing machine learning applications at scale. The position involves designing and building ML models to solve real-world business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems. Key responsibilities include collaborating with product and data science teams, managing model retraining and monitoring, and implementing continuous integration and deployment practices using languages like Python, Scala, or Java. The role appeals to candidates seeking to apply the latest innovations in machine learning engineering within a collaborative environment that emphasizes responsible AI and technical growth. The position is based in McLean, VA, New York, NY, or Plano, TX.

This senior Information System Security Officer role supports cybersecurity and risk management for mission-critical federal systems within law enforcement and national security environments. The position focuses on executing Security Assessment and Authorization programs, managing cloud security compliance across major platforms, and maintaining essential documentation such as System Security Plans and Plans of Action and Milestones. Key responsibilities include conducting risk assessments, overseeing vulnerability remediation, and mentoring junior staff to ensure audit readiness. The role appeals to professionals seeking to work on high-impact national security missions within a culture that values innovation and talent development. Candidates will collaborate closely with government stakeholders and technical teams to maintain compliant authorizations while advancing their expertise in federal cybersecurity frameworks.

This Senior Manager, Machine Learning Engineering role leads an Agile team within Capital One focused on productionizing machine learning applications at scale. The position involves designing ML architectures, developing and reviewing model code, and building optimized data pipelines to solve complex business problems. Key responsibilities include managing model retraining and monitoring, ensuring high availability and performance, and enforcing responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in distributed computing and cloud platforms while leading cross-functional teams. It offers a collaborative environment where professionals can continuously learn and drive technical strategy for state-of-the-art big data solutions.

This Lead Machine Learning Engineer role within Capital One's GenAI Workflows Serving team focuses on designing and productionizing Generative AI applications and Agentic Workflow systems at massive scale. The position involves building robust ML serving architectures using Python and Go, implementing cloud-native platforms with Kubernetes and AWS, and establishing advanced MLOps practices for continuous deployment. Key responsibilities include developing high-performance code, ensuring low latency and security for AI solutions, and collaborating with product and data science teams to solve complex business problems. The role appeals to engineers seeking to lead innovation in a collaborative Agile environment while working with cutting-edge technologies like service meshes and scalable data pipelines. The position is based in major US hubs including Cambridge, McLean, New York, and San Francisco.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems using cloud architectures. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while adhering to responsible AI practices. The role is appealing for its opportunity to continuously apply the latest innovations in machine learning engineering and work with diverse technologies like Python, Golang, and major cloud platforms. The position supports a collaborative culture centered on technical growth and delivering state-of-the-art big data solutions.

This full-time Lead Machine Learning Engineer role within the Enterprise Platforms Technology team focuses on designing, building, and scaling production-ready machine learning systems for a major financial institution. The position involves collaborating with cross-functional Agile teams to architect ML solutions, develop optimized data pipelines, and ensure high availability and performance of deployed models. Key responsibilities include overseeing model retraining and monitoring, implementing continuous integration and deployment practices, and maintaining strict governance for responsible AI. The role appeals to candidates seeking to apply advanced technical skills in Python, Scala, or Java while working with cloud-based architectures at scale. It offers a dynamic environment for professional growth, the opportunity to lead engineering initiatives, and a collaborative culture centered on innovation and complex problem-solving.

This Lead Data Scientist role within the Oil and Gas sector focuses on driving data-driven insights for downstream refining operations at a leading analytics consulting firm. The position involves developing and deploying statistical, machine learning, and optimization models to solve high-impact challenges such as yield optimization, energy efficiency, and predictive maintenance. Key responsibilities include partnering with process engineers and operations teams to translate refinery problems into analytical solutions while incorporating first-principles knowledge into data models. The role appeals to candidates seeking significant career development in a fast-growing, entrepreneurial environment with high individual responsibility. The position offers the opportunity to work on complex industrial problems and deliver measurable business value to Fortune 500 clients.

This entry-to-mid level Test Engineer role supports a financial services team in Vienna, Virginia, focusing on validating software applications and ensuring system quality. The position involves performing regression and functional testing, creating and executing test cases, and documenting defects to support software releases. Candidates will collaborate with developers and stakeholders to analyze requirements and review user documentation. The hybrid work arrangement requires onsite presence three days a week. The role offers an opportunity to gain experience within a multiyear contract environment while contributing to critical system enhancements in a collaborative setting.

This senior manager role within Starbucks' Data Science team in Nashville leads a group of data scientists and analysts to solve complex business challenges through advanced modeling and analytics. Key responsibilities include coaching team members on technical and career growth, overseeing the full data science lifecycle from problem framing to model operationalization, and establishing best practices for coding, security, and cross-functional collaboration. The position appeals to leaders who value a culture of continuous learning and service, offering opportunities to shape scalable machine learning solutions. The work arrangement requires an onsite presence four days per week, fostering strong team connection while providing access to extensive benefits including tuition coverage and comprehensive health support.

The Domain Managing Architect - Digital role provides strategic architectural leadership within the Digital domain at Horace Mann, focusing on aligning technology solutions with long-term business goals. Key responsibilities include developing current and future state architectures, establishing AI governance frameworks, and leading legacy modernization and cloud transformation initiatives. The position requires defining enterprise standards, mitigating technical risks, and communicating complex concepts to executive audiences. This opportunity appeals to professionals seeking to drive digital transformation in a mission-driven organization dedicated to supporting educators. The role offers the chance to shape scalable, secure, and resilient technology landscapes while fostering collaboration across diverse technical and business teams.

This Data Science Lead role supports a federal government client at the USSOUTHCOM Headquarters in Doral, Florida. The position involves overseeing the development and deployment of predictive and prescriptive analytics while establishing frameworks to align data science and engineering teams. Key responsibilities include managing Agile sprints, validating AI/ML models, and coordinating large-scale compute resources for mission-critical workloads. The role is appealing due to the opportunity to lead strategic analytics initiatives within a Veteran-Owned Small Business that values integrity and professional growth. The company offers comprehensive benefits, tuition reimbursement, and a supportive culture. An active TS/SCI security clearance is required, and the position is based on-site at the government facility.

This principal-level engineering role is based in Laurel, Maryland, and focuses on solving complex business and IT challenges using interdisciplinary approaches. The position requires a TS/SCI clearance with a polygraph and involves developing, maintaining, and enhancing diverse software systems while reviewing components for design adherence. Key responsibilities include analyzing system performance, utilizing cloud infrastructure platforms like OpenStack, and applying strong Linux and Python skills to drive operations. The role appeals to experienced professionals seeking a collaborative environment with small, hand-picked teams that value innovation over mainstream methods. The company offers a supportive culture with comprehensive benefits, including fully paid health premiums, a generous 401k match, and significant paid time off. Career development is prioritized through individualized counseling and training opportunities, allowing engineers to balance professional growth with work-life flexibility.

This AI Engineer role within the Global Defense team focuses on architecting, building, and deploying intelligent, agentic solutions across legacy and modern platforms. Key responsibilities include training and maintaining machine learning models, developing AI-enabled features using LLMs and RAG pipelines, and collaborating with senior architects to define ML strategy for mission-critical environments. The position offers exposure to next-generation tooling and a chance to solve real-world challenges in a people-first culture that values collaboration and professional growth. Candidates must possess a Secret security clearance and be prepared for a work arrangement that may include remote, hybrid, or onsite options depending on specific project needs.

This full-time .NET Software Engineer role involves designing and delivering end-to-end software solutions within a fast-paced, agile environment. The position requires a senior developer to translate client requirements into production-ready systems using C#, Web API, and modern .NET frameworks, while also managing migrations to newer versions and utilizing containerization tools like Docker. Key responsibilities include developing full-stack applications, optimizing system architecture for future scalability, and collaborating with cross-functional teams to solve complex technical challenges. The opportunity is appealing for those seeking to make a tangible impact on critical systems while working in a people-first culture that supports professional growth through continuous learning and recognition. The role requires a Secret security clearance and offers a flexible work model that may include remote, hybrid, or onsite arrangements depending on specific project needs.

The Middleware Team Lead role is based on-site in Radford, Virginia, within IPTA's Technology Solutions group, focusing on supporting Army enterprise applications. The position involves leading a team of engineers to manage application servers like WebLogic and JBoss, design web services and API gateways, and maintain messaging systems such as Kafka. Key responsibilities include ensuring high availability, implementing disaster recovery configurations, and maintaining strict compliance with DoD security standards. This opportunity appeals to professionals seeking a collaborative environment that values continuous learning and personal career growth. The role offers the chance to solve complex integration challenges while working with emerging technologies in a mission-driven setting. An active security clearance is required to participate in this critical government support effort.