• Research, develop, and deploy AI-based solutions to automate legal, risk, and compliance tasks. • Design, develop, and deploy solutions with hands-on software development across the backend and AI stack. • Partner with stakeholders to guide the technical vision while being responsible for overall delivery. • Build agentic workflows to reduce manual workload for legal professionals, including prompt engineering, model evaluation, workflow orchestration, and iterative improvement. • Ensure solutions are designed with strong data security, governance, and compliance principles, particularly when handling sensitive legal and client information.

• Identify common design and implementation needs across application engineering teams, and translate them into clear, reusable paved paths that reduce friction and accelerate delivery • Create and maintain high-quality documentation, reference architectures, and implementation guides that help engineers quickly understand how to build on enterprise platforms and services • Develop reusable artifacts such as Terraform or similar modules, code templates, and example implementations that encode best practices and provide strong starting points for new systems • Partner with enterprise platform and foundation teams to understand existing capabilities and constraints, and incorporate them into cohesive, developer-friendly patterns • Collaborate with architects to translate architectural principles and system understanding into practical guidance and working implementations • Contribute to and evolve AI-assisted developer workflows, such as agent-based tools, prompt patterns, or skill definitions, that help engineers design, scaffold, and operate systems more effectively • Evaluate and choose the right medium for enablement —whether documentation, code, templates, or AI-assisted interfaces—based on what will be most effective and adoptable for builders • Gather feedback from application teams and iterate on paved paths based on real-world usage, improving usability, clarity, and adoption over time • Help identify gaps in platform capabilities or developer experience, and work with foundation teams to influence improvements or new services where needed • Advocate for a developer-centric approach to platform adoption, ensuring that enterprise capabilities are accessible, understandable, and easy to use in practice

• Design, build, and maintain scalable data pipelines and ETL/ELT processes that support real-time and batch data flows across Quavo's platform • Implement and optimize Snowflake schemas, including dimensional models, ER design, and normalization strategies aligned to API and reporting needs • Translate data product requirements — API contracts, data schemas, and SLA targets — into production-grade implementations • Monitor data quality, pipeline reliability, and latency; define and enforce data contracts to ensure consistency across consumers • Develop and maintain RESTful APIs that expose data platform capabilities to internal teams and external partners • Partner with the Product Manager on API versioning, deprecation policies, and developer-facing documentation • Build integrations with financial systems and third-party data providers, ensuring data integrity and regulatory compliance • Lead end-to-end delivery of releases, patches, and hotfixes for Node.js applications deployed on AWS • Design software solutions that align architecture and cloud services with the overall IT and AWS strategy • Build and maintain front-end interfaces (Vue/Vuetify, HTML5, CSS3) that surface data insights to end users

Role Description Hands-on experience in languages: C, C++, Python. - Good to have knowledge in networking domain - Good to have understandings of AI/ML - Experience in using opensource and commercial tools for development - Well versed and habituated to work in an agile product development model using CI/CD practices - Knowledge of software builds, build system and CI/CD pipelines - Experience with test driven development through unit tests and integration tests would be a big plus - Dedication to work on customer issue reproduction and debugging of customer issues - Excellent verbal/written communication skills, Teamwork, and interpersonal skills - Ability to interface and collaborate directly with various stakeholders, business partners, and vendors - Must have a can-do attitude towards continuous learning and delivery challenges - Very good command of English Qualifications - Develop, Validate & Deliver High quality software - Ability to multi-task, fast-learning and lateral thinking is necessary Company Description Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.