Goods & Services

• Develop and maintain analyzer workflow logic within the ECL platform, owning the backend processes that drive analyzer operations end-to-end • Implement and extend workflow orchestration — managing analyzer state transitions, operational sequencing, and runtime event handling • Collaborate with the Analyzer Integration Engineer on the communication layer between ECL and connected analyzers • Support the DCU modernization effort by identifying workflow logic that can be extracted and repackaged into shared .NET libraries • Work with QA to ensure workflow correctness and reliability across analyzer types and edge cases • Participate in knowledge transfer from departing Hydra resources to preserve continuity of analyzer workflow behavior.

• Designing enterprise data warehouse architectures and data models. • Defining data integration strategies across multiple source systems, including relational databases, APIs, and streaming platforms. • Creating architecture and technical design documentation. • Collaborating with data engineers to implement solutions. • Developing proof of concepts for new tools or technologies before broader implementation. • Providing technical leadership on new data initiatives while remaining hands-on when needed.

• Design, develop, and maintain automation frameworks for iOS Native Applications, Android Native Applications, and Responsive Web Applications. • Develop automated smoke, regression, integration, and end-to-end test suites. • Create reusable automation components and libraries. • Ensure automation reliability, maintainability, and scalability • Validate mobile-specific functionality, including Push notifications, Deep links, Device permissions, Biometric authentication, Offline functionality, Application lifecycle behavior, Cross-device compatibility, • Execute functional, integration, regression, and exploratory testing. • Design and execute API automation tests. • Validate integrations between mobile applications and backend services. • Ensure data integrity and system reliability across environments. • Integrate automated testing into CI/CD pipelines. • Support release readiness activities. • Monitor automation execution and quality metrics. • Identify and address automation failures and flaky tests. • Use AI tools to accelerate Test case generation, Automation development, Defect investigation, Test data creation, Log analysis, and Documentation. • Validate and refine AI-generated outputs before implementation. • Continuously identify opportunities to improve testing efficiency through AI-assisted workflows.

• Collaborate with software engineers and product managers to document REST APIs, SDK workflows, and cloud-based architecture. • Maintain and organize internal technical knowledge bases using Polarion.

• Design, develop, and maintain automation frameworks for iOS Native Applications, Android Native Applications, and Responsive Web Applications. • Develop automated smoke, regression, integration, and end-to-end test suites. • Create reusable automation components and libraries. • Ensure automation reliability, maintainability, and scalability • Validate mobile-specific functionality, including Push notifications, Deep links, Device permissions, Biometric authentication, Offline functionality, Application lifecycle behavior, Cross-device compatibility, • Execute functional, integration, regression, and exploratory testing. • Design and execute API automation tests. • Validate integrations between mobile applications and backend services. • Ensure data integrity and system reliability across environments. • Integrate automated testing into CI/CD pipelines. • Support release readiness activities. • Monitor automation execution and quality metrics. • Identify and address automation failures and flaky tests. • Use AI tools to accelerate Test case generation, Automation development, Defect investigation, Test data creation, Log analysis, and Documentation. • Validate and refine AI-generated outputs before implementation. • Continuously identify opportunities to improve testing efficiency through AI-assisted workflows.

• End-to-End Pipeline Engineering: Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into our Snowflake Data Cloud. • Cloud Infrastructure: Manage and optimize data flows within an AWS environment (S3, Lambda, IAM), ensuring high availability, security, and cost-efficiency. • High-Scale Processing: Leverage Databricks and Python (PySpark) to handle complex data transformations and high-volume workloads. • Implement the Semantic Layer: Collaborate with the team to define, implement, and scale our Semantic Layer (via dbt Semantic Layer, MetricFlow, or similar) to standardize business logic, metrics, and dimensions for all downstream consumers. • Model for Truth: Use dbt to build modular, version-controlled, and tested data models that serve as the definitive foundation for business intelligence.

• Define and own the enterprise data architecture strategy, including conceptual, logical, and physical data models across the organization's core domains • Establish and govern data standards, naming conventions, schema design principles, and modeling best practices used by Data Engineering and Analytics Engineering teams • Lead the design of scalable, reusable data products in the semantic and analytical layers, ensuring consistency across Decision Science, Data Science, and self-service consumption • Partner with the Product Data team to align on shared architectural standards, data contracts, and platform decisions—acting as a peer and collaborator, not a dependency • Evaluate and advise on data platform and tooling decisions (cloud data warehouses, lakehouse patterns, orchestration, metadata management, cataloging) • Identify and resolve architectural gaps, redundancy, and data quality risks across the data estate • Contribute to—and in many cases lead—the development of a business glossary, data catalog, and enterprise ontology for key data domains • Act as a senior advisor to Data Science on data availability, feature engineering infrastructure, and model data requirements • Collaborate with Decision Science leadership to ensure analytical data models are structured for performance, clarity, and governed self-service • Champion data governance, lineage, and observability as first-class architectural concerns

Role Description Goods & Services is looking for a Lead Android Engineer to lead the development of our medical-grade Android mobile applications and SDKs. This role is responsible for providing technical leadership, driving architectural decisions, mentoring engineers, and ensuring the successful delivery of high-quality mobile solutions. The ideal candidate combines deep Android expertise with strong leadership skills and a proven ability to lead cross-functional initiatives in a collaborative, fast-paced environment. Core Function: - Lead the design, architecture, development, and delivery of medical-grade mobile applications and SDKs using Java, Kotlin, and KMM. What you’ll do: - Lead the design, development, and maintenance of high-quality Android applications and SDKs using Java, Kotlin, and KMM. - Provide technical leadership and architectural guidance to Android engineering teams. - Collaborate with product management, cloud engineering, UX, QA, and other cross-functional teams to define technical solutions and product roadmaps. - Drive technical design discussions, establish engineering standards, and promote best practices across the team. - Translate customer, business, and market requirements into scalable, secure, and maintainable mobile solutions. - Lead the integration of mobile applications with cloud-based platforms, APIs, and backend services. - Scope projects, decompose work into deliverable modules, estimate effort, and support program planning activities. - Mentor, coach, and support engineers through code reviews, technical guidance, and knowledge sharing. - Own application quality, performance, scalability, and maintainability. - Drive troubleshooting, root cause analysis, and resolution of complex technical issues. - Evaluate emerging technologies, develop proofs of concept, and recommend solution alternatives. - Present technical concepts, architectures, and solutions to customers, partners, leadership, and stakeholders. - Ensure adherence to Agile development practices and contribute to continuous process improvement. - Perform other duties as required. Qualifications - Bachelor’s degree in Computer Science, Computer Engineering or equivalent education plus experience. - 4+ years Native Android development; Proven experience in Android development using Java and/or Kotlin. - Demonstrated proficiency in developing solutions and platforms that leverage wireless communications and Mobile Application technologies. - Strong understanding of Android UI design principles, patterns, and best practices. - Demonstrated work experience with Web services, Cloud and API technologies. - Ability to quickly grasp & learn new technologies and develop POC/prototypes. - Excellent problem-solving skills and attention to detail; drive and own technical design and development of cross-functional, multi-platform applications. - Knowledge of the open-source Android ecosystem and the libraries available for common tasks. - Ability to understand business requirements and translate them into technical requirements. - Excellent communications skills and extensive experience working with technical teams and management. - Mobile apps or Cloud apps software development tools. - Experience with Agile software development. Requirements - Demonstrated experience in successfully launching products in FCC & FDA regulated industries.

• Lead the design, architecture, development, and delivery of high-quality iOS Swift applications and SDKs. • Provide technical leadership and guidance to a team of iOS engineers, fostering engineering excellence and continuous improvement. • Define and enforce software architecture, coding standards, and development best practices across the team. • Collaborate with Product Managers, UX Designers, Architects, and cross-functional stakeholders to define technical solutions and product roadmaps. • Drive technical design discussions, architectural decisions, and technology evaluations. • Mentor, coach, and support engineers through code reviews, technical guidance, and career development. • Own the quality, scalability, maintainability, and performance of software modules and overall system architecture. • Champion automated testing, including unit, UI, and integration testing, to ensure product reliability. • Oversee CI/CD practices and development workflows to improve engineering productivity. • Evaluate emerging technologies, develop prototypes, and recommend solution alternatives. • Ensure compliance with medical software development processes, design assurance SOPs, and applicable regulatory requirements. • Provide technical support and guidance to internal and external stakeholders when needed.

• Develop and maintain automated test scripts using Selenium. • Perform API testing with Postman. • Create and manage test cases with Tricentis. • Validate test data and backend processes using SQL. • Collaborate with teams to ensure quality and test coverage.