Role Description Research, design, and develop computer and network software or specialized utility programs. Duties to include: - Help teams architect scalable, highly available application solutions that leverage our platform services. - Architect and develop customer applications to be cloud optimized. - Work as a technical leader alongside application, development, and infrastructure teams. - Provide deep software development knowledge with respect to cloud architecture, design patterns, and programming. - Work as both an infrastructure and application development specialist. - Implement DevOps practices such as infrastructure as code, continuous integration, and automated deployment. - Work with other DevOps teams to provide features, training, support, and elicit feedback. - Provide our platform with guidance on well-architected frameworks and best practices. - Advise on current and future technologies to help improve our efficiency. - Create RFCs and POCs. - Build and maintain AWS resources using modern Infrastructure-as-Code tooling (Terraform, Ansible). - Build and maintain pipelines and automation through GitOps (GitHub Actions, Jenkins, or Atlantis). - Create and own platform level services on top of Kubernetes (FluentD, Datadog, Go). - Develop automation scripts by submitting PRs and participating in code reviews (Github). - Build monitoring and alerting templates for various cloud metrics (Splunk, Datadog, Cloudwatch). - Participate in a shared on-call rotation. Qualifications - Bachelor's degree in Computer Science, or related field. - Five (5) years of progressive post baccalaureate experience in job offered or in an Engineering-related occupation. Requirements - Five (5) years of progressive post baccalaureate experience in the following: - Cloud Architecture - Software Engineering - DevOps practices - Linux - Terraform - Kubernetes - CI/CD - Application Architecture - Scripting such as Python or Bash - Programming using Java or JavaScript - AWS Infrastructure Services such as EC2, S3, Lambda, EKS, API Gateway, CloudFront, ECS, or DynamoDB Benefits - Full range of comprehensive benefits, including medical, dental, and vision. - Matching 401k. - Employee stock purchase plan. Company Description Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make health care work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.(sm)

Role Description Design, deploy and monitor machine learning algorithms to extract and predict clinical findings from structured & unstructured data sources. Duties include: - Evaluate state-of-the-art deep learning approaches (e.g. transformers) for embedding, retrieval, classification and generative use cases. - Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment. - Build, deploy and monitor reliable and scalable production machine learning systems. - Work cross-functionally with diverse stakeholders including product managers, clinicians, and technical leadership. - Develop multi-modal document understanding systems for information extraction, incorporating segmentation, ordering, and classification to enrich metadata for improved retrieval and generation workflows. - Provide software and machine learning best practice guidance to junior engineers. - Provide onboarding support and mentorship to interns. Qualifications - Must have a Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or closely-related field. - 3 years of professional experience as a machine learning engineer performing software platform development. - Experience must include 3 years in the following: - End-to-end machine learning lifecycle within an Agile environment. - Developing and deploying machine learning models for NLP and computer vision, implementing architectures such as Transformer-based models, and CNN-based models. - Frameworks and libraries including: PyTorch, TensorFlow, Scikit-Learn, Keras, Spacy, Hugging Face, and ML applications. - Applying statistical and ML techniques leveraging Python, including Pandas and Numpy. - Cloud computing and data analytics using AWS services (including S3, Athena, EC2, Lambda, SageMaker, CloudWatch, and Bedrock), along with SQL, Docker, and Linux for scalable processing. - Designing, building, and evaluating RAG-based Generative AI applications using LangChain, LlamaIndex or similar while managing workflows with JIRA, Confluence, and Git. Requirements - This is a telecommuting position working from home. May reside anywhere in the United States. - Salary range is $146,000 - $180,000 per year for a 40-hour work week.

• Develop best practices and cost reduction activities • Lead LMS (Labor Management System) integration efforts with WCS (Warehouse Control System) and WMS (Warehouse Management System) • Facility Layout and MHE Design • Partner closely with Customers and Kenco Operations to achieve project results • Track value (Value Creation Index, or VCI) created from all assigned projects • Ensure Work Measurement systems are developed, implemented and effective • Ensure warehouse flow, conduct zoning and slotting assessments, profile analysis etc. • Continuous Improvement of the Kenco Operating System (KOS) • Conduct process observations and time-motion studies • Help sites analyze labor management data to drive operational decisions • Line Balancing and one-piece flow simulation analysis • Zoning/slotting and Profile analysis • Takt time methods • Value Stream Mapping (VSM), process mapping and data collection • Measurement Systems Analysis (MSA) • Process Capability and performance (Cp/Cpk) • Exploratory Data Analysis, Hypothesis Testing and Analytical methods • Process Improvement Methods • Waste Analysis (Value Added vs Non-Value Added activities, VA-NVA) • Statistical Process Control (SPC) • Control Charting and Control Planning • Gain input from customers to define project priority, set goals and objectives and obtain feedback on performance • Align the organization around lean principles and drive establishment of lean systems in all areas through use of Hoshin planning activities • Ensure that the correct tools be utilized to solve the most important problems affecting our customer’s satisfaction, quality, cost and delivery. • Develop and implement appropriate companywide measurement systems that drive correct behaviors and support attaining business goals • Utilize lean and six sigma methodologies to reduce waste and variation within the operation • Understand Solutions design, Financial model, and Contract Pricing

Role Description As a team member you will be part of a team which has full responsibility for development & testing aspects of the application. You will have the drive to focus on your work, help support your team to achieve continuous improvement, work in line to have the best testing approach and participate in initiatives to improve quality, performance, and maintainability with a strong focus on customer satisfaction and usability. You will have the opportunity to work with an energetic team, using agile development methodologies. Key Role Accountabilities - Test Artifacts – Create, Update, Execute: - Review and analyze requirements, create, and execute test cases through manual as well as automated testing and analyze the results. - Report bugs and errors to development teams and conduct post-release and post-implementation testing. - Work closely with Software Developers and other QA engineers to deliver the highest quality products in a timely and cost-effective manner. - Generate reports such as defect analysis report and feature status reports. - Follow the software development life cycle methodology through the life of the project with specific focus on software quality. - Design and execute test cases for core Electrical & Power Systems simulation features including generation dispatch, unit commitment, load flow, and market clearing algorithms within PLEXOS and related products. - Validate numerical outputs from power system simulations against expected results including energy balances, transmission constraints, nodal pricing, and reserve margins; raise defects with precise domain context. - Maintain and update test suites covering renewable energy integration scenarios (wind, solar, hydro, battery storage), ensuring edge cases such as curtailment, ramp constraints, and intermittency are thoroughly tested. - High Quality Contribution: - Design, develop, review, re-factor, and maintain automation framework, test cases and scripts with quality and performance in mind. - Identify and manage risks for schedule and quality with the team. - Add to engineering team’s culture of high code & product quality. - Develop and maintain domain-specific regression test libraries for power market simulations covering electricity pricing models, hydrothermal coordination, and transmission network constraints (DC load flow, AC optimal power flow). - Proactively identify data quality risks in simulation input datasets (timeseries, topology, generator parameters) and flag issues that could lead to incorrect modelling outcomes before product release. - Global Team Interaction and Collaboration: - Willingness to assist and support others as required and get on with team members. - Seek support from local and global QA & developer teams when required. - Recommend solutions and options to global team when required. - Collaborate with Energy & Power domain consultants, product managers, and customer-facing teams to translate utility-grade regulatory and grid compliance requirements (NERC, IEC 61968/61970, CIM standards) into actionable test scenarios. - Participate in cross-functional reviews with PLEXOS modelling and simulation engine teams to ensure test coverage aligns with new solver capabilities, stochastic modelling features, and emerging energy market rule changes. Qualifications - Bachelor’s / Master's degree in Computer Science or Electrical or related field or equivalent. - Power Systems Domain Knowledge - Foundational understanding of electrical power systems concepts including generation, transmission, distribution, load flow analysis, and electricity market structures (pool markets, bilateral contracts, capacity markets). - Energy Simulation Software Testing - Ability to interpret and validate outputs from energy planning and power market simulation tools (e.g. PLEXOS, Aurora, or equivalent); familiarity with simulation result files, timeseries data formats, and key performance metrics (LMP, generation cost, emissions). - Data Literacy for Energy Datasets - Proficient in working with large timeseries datasets (load profiles, generation forecasts, fuel prices, hydrological data); ability to identify anomalies, outliers, and data integrity issues that would affect simulation accuracy. - Regulatory & Compliance Awareness - Basic awareness of energy industry standards and compliance frameworks (NERC reliability standards, IEC CIM, ENTSO-E guidelines) and how these influence software behaviour and data validation requirements. - Technical/Professional Expertise - Proficient with Web application testing and test strategies. - Analysis/Problem Solving - Goes beyond immediately available information to establish the root of a problem or situation and identifies solutions. - Personal Drive - Ensures quality and timeliness by proactively resolving problems. - Teamwork - Valuing input from colleagues and building positive relationships. - Communication - Communicates in a manner appropriate to the recipient and situation. - Innovation - Produces creative ideas and solutions. - Organizational Awareness - Aligns own behavior with defined ways of doing business, consistent with group values. - Basic knowledge of performance and Load testing. - Hands-on experience with energy simulation or power market software (PLEXOS, Aurora EV, PSS®E, PowerWorld, or similar); ability to configure basic model objects, run simulations, and interpret result outputs at a QA validation level. - Familiarity with electricity market types and structures including NEM (Australia), PJM, ERCOT, GB wholesale markets, or equivalent deregulated energy markets; understanding of spot pricing, ancillary services, and capacity mechanism testing implications. - Experience working with energy data formats and toolchains including CSV/XML timeseries, SCADA data exports, CIM/XML network models, or GIS-based network data; scripting experience using Python or R for data validation and comparison of simulation results. - Understanding of renewable energy integration challenges including variable generation forecasting, battery energy storage system (BESS) modelling, demand response, and grid stability testing scenarios relevant to the energy transition. - Ability to work independently and collaboratively. - Ability to interact effectively with team members. - Good oral and written communication skills. - Excellent Analytical and out of the box thinking skills. - Time management, prioritizing and decision-making skills. - Proficient with Web application testing experience. Key Stakeholders - Indian Development Centre colleagues - Senior IDC Management - Chief Product Officer - Global Product Delivery Team - Global Product Development Team - Global Support Team