Site Reliability Developer 4
Solve complex infrastructure cloud service problems and build automation to prevent recurrence. Design and deploy software to improve the availability, scalability, and efficiency of Oracle products.
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Solve complex infrastructure cloud service problems and build automation to prevent recurrence. Design and deploy software to improve the availability, scalability, and efficiency of Oracle products.
The Senior DevOps Engineer will design and maintain secure CI/CD pipelines and manage cloud infrastructure using Infrastructure as Code. They will also embed security controls and automation into the software development lifecycle to ensure compliance with federal standards.
The Senior DevOps Engineer will design and build strategic cloud infrastructure and operational capabilities for the Xfuze platform. They will lead automation efforts, ensure platform security, and guide the team in implementing best-in-class Site Reliability Engineering practices.
The AI/ML Architect will be responsible for developing, training, and deploying machine learning models for predictive analytics and automation. They will also integrate and fine-tune large language models and agentic AI systems to deliver scalable business solutions.
Lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI/ML workloads. Act as a technical escalation point while mentoring engineers and partnering with leadership to define technical strategy.
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The Senior Pharmacy Performance Specialist acts as a liaison between Finance, Analytics, IT, and Pharmacy to manage data content and business logic. This role involves gathering requirements, performing analysis, and supporting the development and testing of processes for the Pharmacy Department.
The Director will lead strategic growth initiatives for the FICO Score Auto Industry Practice, focusing on expanding adoption among large depository lenders. They will serve as a strategic advisor to leadership, building C-level relationships and translating market trends into actionable business strategies.
You will lead end-to-end IT audit engagements, including risk assessments and SOX 404 testing for financial applications and cloud infrastructure. Additionally, you will drive the use of data analytics and automation to improve audit efficiency and partner with cross-functional teams to enhance internal control structures.
Lead solution architecture for data, analytics, AI, and MDM portfolio programs to support enterprise data transformation. Engage with business stakeholders to facilitate strategy, innovation planning, and the development of IT investment roadmaps.
The consultant will design, develop, and maintain an enterprise Big Data solution including data lake architecture and real-time data pipelines. They are responsible for coordinating project activities, enforcing technical standards, and providing expertise for data-centric systems and applications.
Design, develop, and maintain robust backend services using Java within a microservices architecture. Collaborate with an AI-driven team to build scalable solutions and contribute to architectural decision-making.
You will design and implement robust data systems, models, and AI-powered tooling to support business operations and product engineering. Additionally, you will mentor team members and establish engineering standards for data work, including testing and CI/CD practices.
Develop, deploy, and manage analytic and reporting services to meet client requirements and business objectives. Coordinate analytic projects while serving as the primary contact for client-facing communications and issue resolution.
The Big Data Architect will coordinate IT project management, engineering, and maintenance while ensuring compliance with District standards. They are responsible for developing technical applications, managing system upgrades, and monitoring real-time data and network communications.
Design, build, and maintain scalable end-to-end data pipelines using Databricks and PySpark. Collaborate with cross-functional teams to implement lakehouse architectures and ensure data quality and performance.
Build data processing pipelines and machine learning infrastructure to support intelligence systems. Deploy cloud-based technologies and maintain code within a Kubernetes environment.
Act as the primary technical point of contact for customers to design scalable solutions and drive technical strategy. Conduct training, troubleshoot complex issues, and provide expert guidance to ensure customer success with the platform.
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Lead a team of data scientists in the design and deployment of advanced machine learning and AI solutions to address complex business problems. Partner with business leaders to drive data strategy and deliver actionable insights that support strategic decision-making.
Design, develop, and maintain data pipelines on Google Cloud Platform while implementing ETL/ELT integration processes. Collaborate with technical and business teams to optimize SQL queries and ensure data quality, availability, and traceability.
You will design and build a scalable data platform to support batch and streaming use cases while ensuring robust data security and observability. Additionally, you will deploy low-latency services to power real-time decision-making across the company's sports betting and daily fantasy ecosystems.
The role involves designing and engineering digital solutions using Scala and Spark for large-scale data processing. Responsibilities include managing complex data pipelines and ensuring efficient code execution through functional and object-oriented programming.
The Director of Data Platform will lead the technical vision, strategy, and architecture for modern data platforms to enable AI at scale. They will oversee the development of scalable data solutions while collaborating with cross-functional teams to ensure production success and business growth.
The Advisor Data Sciences will design, build, and deploy advanced AI and Generative AI solutions across healthcare technology platforms. This role involves integrating models into existing systems while ensuring compliance with healthcare regulations and optimizing performance for operational efficiency.
Lead technical pre-sales engagements by architecting and delivering end-to-end data platform solutions for enterprise clients. Collaborate with sellers to turn complex data challenges into production-ready architectures and reusable IP.
The Deputy Technical Program Manager will lead the data modernization and governance team to deliver integrated engineering, analytics, and AI/ML capabilities for the Case Management Modernization program. They are responsible for overseeing contract execution, defining technical strategy, managing resources, and ensuring alignment with enterprise standards.
Design and build scalable backend systems while leading the architecture of distributed, high-performance data processing environments. Mentor junior engineers and collaborate with cross-functional teams to ensure system health and performance through robust observability and monitoring.
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The Data Architect will design and implement scalable data models, governance frameworks, and integration pipelines to ensure data integrity and business alignment. They will also collaborate with cross-functional teams to optimize database performance and provide technical guidance on data architecture best practices.
The architect will design and oversee scalable data infrastructure while collaborating with stakeholders to translate business requirements into effective data solutions. They will also provide technical guidance to engineering teams and ensure data quality, security, and compliance across all data pipelines.
The Business Development Director will drive growth by securing new supply chain business and executing territory strategies within the industrial sector. They will lead complex enterprise sales cycles, quantify ROI for executive stakeholders, and collaborate with internal teams to refine product strategy.
The Data Services Developer will build and enhance APIs, web services, and data integration components to connect user interfaces with enterprise data. They will collaborate with cross-functional teams to ensure secure, scalable, and performant data interactions across various maintenance and enterprise systems.
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