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At Optum, we value the distinctive talents and perspectives each employee brings to our workplace. We foster an inclusive work environment through various initiatives like our Employee Resource Groups, which are connected internal communities that focus on sharing our diverse experiences and backgrounds, creating a greater sense of belonging.
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Optum

Optum partners with The Blind Relief Association (TBRA) Delhi

Optum partners with Sarthak Educational Trust

Building an inclusive workplace - Optum India

UHG Employee Value Proposition

As a Senior Software Engineer I, you will be responsible for leading a Scrum team that designs and delivers scalable, robust solutions in Java, Spring Boot, RESTful APIs, Spark, Scala and AWS services such as EMR. You will collaborate with Product Management, Data Management, and Architecture teams to build modern, distributed systems that handle massive data volumes. Your excellent problem-solving abilities and architectural vision will be critical to shaping our technology roadmap. You will also mentor junior engineers, instill best practices, and advocate a culture of continuous improvement.Primary Responsibilities:Own the Delivery of a Scrum TeamPlan, estimate, and coordinate development tasks across multiple sprints Be the torchbearer of Scrum ceremonies, driving clarity and focus in each sprint Foster a culture of continuous improvement by leading retrospectives and driving team-based changes Systems Design & DevelopmentDesign and implement scalable, robust, and highly distributed big data solutions capable of processing high volumes of data on AWS or similar cloud platforms Develop and optimize Java-based microservices and RESTful APIs using Spring Boot Leverage Spark and Scala for batch processing on AWS EMR or other big data frameworks Technical Leadership & CollaborationWork collaboratively with Product Management, Data Management, and other Architects to align development with long-term product and data platform goals Identify, document, and manage dependencies between teams and systems Drive architectural discussions, promote best practices, and ensure delivery of high-quality code Quality & StandardsConduct code reviews to ensure adherence to coding standards, security practices, and performance guidelines Champion automation and continuous delivery to reduce manual tasks and enhance productivity Ingrain a “shift-left” mindset for testing, security, and operational considerations Operations & OptimizationOptimize database performance, manage and monitor data extraction, storage, and transformation Continuously tune big data pipelines and microservices to ensure high availability and low latency Oversee Kubernetes/Docker-based container orchestration and ensure secure, reliable deployments Analysis & InvestigationsAnalyze complex technical challenges and provide clear explanations and interpretations within your area of expertise Conduct root-cause analyses of critical issues and integrate solutions into future development Compliance & AdaptabilityComply with the terms and conditions of employment, company policies, and any directives Acknowledge that the company may adopt or vary these policies or directives as business needs evolve Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do soRequired Qualifications:Bachelor’s degree (or higher), Engineering, or equivalent experience 6+ years of hands-on experience in software development with Java, Spring Boot, and RESTful APIs Experience with containerization (Docker) and orchestration (Kubernetes) Extensive knowledge of Spark/Scala for batch processing in big data environments Deep understanding of cloud platforms, especially AWS or Azure, for big data solutions Proven track record of designing and implementing highly distributed, scalable systems Proficiency with Kafka or similar event-driven platforms Proven excellent problem-solving abilities and architectural vision with complex, high-traffic applications Solid communication skills with the ability to convey complex technical information clearly

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