Role Description As a Lead Systems Engineer - Data at Bravo17, you will elevate data-driven decision-making for federal agencies. This role requires a deep understanding of agency missions, diverse user needs, and relevant policies. You will lead the implementation of advanced data modeling strategies, integrate AI and machine learning techniques into analytical workflows, and translate complex datasets into intuitive products that address critical organizational goals. - Technical Strategy & Data Strategy: - Define and maintain technical standards for data architecture, modeling, and AI integration to ensure consistency, quality, and maintainability across all projects. - Propose innovative solutions to enhance data processing, AI model performance, and analytical security. - Collaborate with project managers and stakeholders to bridge the gap between business needs and technical data implementation. - Develop comprehensive technical documentation, such as data models, schema designs, and AI pipeline specifications, to guide development and ensure team alignment. - Technical Delivery & AI Integration: - Architect and implement secure, high-performance data pipelines and analytical services. - Integrate AI/ML models into data workflows, focusing on automated insight generation, predictive modeling, and the development of innovative user experiences. - Collaborate with cross-functional teams to define project requirements and technical specifications for data-intensive applications. - Mentor junior analysts and engineers, fostering capabilities in AI-driven data tooling and analytical best practices. - Conduct rigorous peer reviews to ensure code quality, data accuracy, and adherence to best practices. - Troubleshoot and debug complex issues across the full data lifecycle. - Collaboration & Professional Development: - Effectively communicate complex analytical concepts to both technical and non-technical audiences. - Collaborate closely with product managers and engineers to ensure that data-driven user needs are met throughout the product development lifecycle. - Stay abreast of the latest trends in AI development, data engineering, and statistical modeling. - Continuously improve skills through professional development and workshops. Qualifications - Minimum of 7–10 years of practical experience in data analysis or data engineering, with a proven track record of technical leadership. - Strong background in data-intensive applications, with a specific focus on AI-integrated data modeling and cloud computing solutions. - Thorough understanding of data service design patterns, including REST APIs, microservices, and modern data warehouse architectures. - Excellent communication, presentation, and interpersonal skills. - Demonstrated capability to lead technology projects, operate autonomously, or collaborate effectively within a team environment. - Strong analytical skills with business acumen and the ability to turn data into strategic insights. - A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field is preferred; however, deep experience can serve as a substitute. Requirements - Secret Required (or willingness to apply for Secret). - Remote; however, we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC areas. Candidates in these hubs will have the opportunity to engage with local team members. Benefits - Competitive compensation. - Health and welfare benefits. - Flexible ways of working. - Generous time off policies including vacation/PTO, sick leave, and parental leave.

Role Description SAIC is looking for a dedicated Full-Stack Software Engineer to help build, support and migrate a cloud-based Web Dashboard application that processes healthcare EDI transactions. The ideal candidate has experience with (Java/Node.js) backend integration work, (Angular) front-end UI development and understands structured healthcare data. This is a 100% Remote role. - Design, build, and maintain RESTful APIs in Java and/or Node.js that retrieve, transform, and serve EDI healthcare records - Integrate with internal platform APIs, EDI processing pipelines, and data services to deliver live and historical EDI transaction data reliably and performantly - Support and contribute to an Angular-based dashboard frontend — consuming APIs, building or maintaining components, and ensuring data is surfaced accurately to business and clinical users - Collaborate with backend C#/.NET and AWS data engineers to define clean API contracts and ensure reliable data delivery across services - Write clean, testable, well-documented code and participate actively in code review - Perform unit and integration testing across backend services and API layers - Support deployment, monitoring, and performance of backend services in production on AWS - Apply and promote best software engineering practices within an agile framework - Use Git and GitHub for version control, branching, pull requests, and collaborative development Qualifications - Experience with Java and/or Node.js for backend integration - Experience with Angular for front-end UI development - Understanding of structured healthcare data Requirements - Ability to work 100% remotely Benefits - Equal Opportunity Employer Company Description SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom .

• O Analista de Suporte é responsável por prestar suporte técnico aos usuários, solucionar problemas de software, realizar manutenção preventiva e corretiva, além de garantir o bom funcionamento dos sistemas. • Diagnosticar problemas e dúvidas relacionados a aplicação e seus derivados, e propor soluções. • Criar e gerenciar chamados e incidentes utilizando metodologia ITIL via ferramenta Jira e Zendesk. • Atuar na gestão e resolução de incidentes seguindo os padrões de ITIL / ITSM. • Lidar com ferramentas de banco de dados para as soluções de problemas (PostgreSQL). • Apoiar e dar suporte para a implantação e/ou manutenção das ferramentas, recursos e novos sistemas e novas ferramentas. • Executar manutenções preventivas nos sistemas. • Acompanhar monitoramento de saúde de sistemas. • Trabalhar em conjunto com as equipes de desenvolvimento e operações, utilizando conhecimentos SQL para análise e suporte. • Análise, execução, contribuição na melhoria dos processos. • Desempenhar tarefas padronizadas que exigem aplicação de técnicas básicas. • Propor e desenvolver soluções de contorno para problemas pequenos do dia a dia. • Documentar processos e criar especificações técnicas. • Gerenciar contratos com fornecedores de serviços essenciais. • Gerenciar e monitorar a qualidade dos serviços e o cumprimento dos SLAs de fornecedores essenciais. • Monitorar a performance dos contratos dos fornecedores de serviços. • Criar e manter documentação técnica, facilitando o suporte e o treinamento de novos usuários.

• Design, develop, and optimise low-latency, mission-critical trading systems • Own key trading stack components end-to-end — from architecture through to production operation • Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience • Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence • Troubleshoot complex production issues across exchange connectivity, execution, and market data handling • Drive engineering standards through technical leadership, code reviews, and mentoring • Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling • Contribute to functional, component, and production-readiness testing for critical trading components