Role Description We are seeking a mid-level Software Engineer to join our high-output Platform Services team. This role is crucial for building and maintaining the foundational systems that power identity, authentication, and integration capabilities across our multi-product SaaS platform. Our team operates lean, leveraging a combination of deep engineering expertise and AI-assisted tooling to achieve platform-scale impact. As an engineer on this team, you will be expected to: - Deeply understand the systems you own. - Proactively identify and address potential issues. - Deliver solutions with a high degree of care to ensure downstream product teams remain unblocked. The immediate focus will be on federated identity and authorization infrastructure, involving the development and extension of platform services essential for authenticating users, enforcing authorization, and managing access at scale. A strong candidate will possess: - Hands-on experience with OAuth 2.0, OIDC, SAML, and JWT. - A solid understanding of authorization frameworks. - Practical knowledge of integrating identity services into real-world applications. - Embrace AI-assisted workflows as a core part of their development process. Qualifications - 3-5 years of professional software engineering experience. - Demonstrated ability to own and deliver features independently in a production environment. - Hands-on experience building backend services in .NET or Python, including RESTful API development. - Demonstrated experience implementing or integrating with federated identity systems using OAuth 2.0, OIDC, SAML 2.0, and/or JWT in production applications. - Practical understanding of authorization frameworks. - Proficiency in .NET or Python for backend service development. - Familiarity with modern API frameworks (e.g., .NET 9+, FastAPI). - Working knowledge of identity protocol mechanics. - Experience with multi-tenant SaaS integration patterns. - Familiarity with cloud platforms (AWS preferred). - Proficiency with standard development tooling: Git, CI/CD pipelines, containerization (Docker), and automated testing. - Active use of AI-assisted development tools as part of a daily engineering workflow. Requirements - Design, implement, test, and release features end-to-end with limited guidance. - Independently identify edge cases and potential failure modes within assigned work. - Write clean, maintainable code and provide constructive, specific feedback during code reviews. - Proactively communicate blockers or ambiguities to the team. - Apply practical knowledge of federated identity standards. - Understand and reason about authorization frameworks, policy enforcement, and integration. - Reason clearly about token lifecycle, session management, and security implications. - Understand the mechanics of connecting distributed services. - Build and maintain integrations that are observable and fault-tolerant. - Write and work with API contracts with attention to versioning and backwards compatibility. - Actively use AI-assisted development tools to accelerate design, implementation, and validation. - Participate in building and improving AI-assisted workflows. - Stay current on evolving AI tooling and introduce new approaches to the team. - Write tests with sufficient coverage to catch regressions. - Contribute to operational health by monitoring shipped features. - Document systems and processes to reduce reliance on tribal knowledge. - Build and extend platform services for federated identity, authentication, and authorization. - Implement integrations with the centralized identity platform. - Support product teams with integration processes, debugging, and navigating edge cases. - Develop tooling, documentation, and examples for self-service integrations. - Design and implement backend service integrations using Python. - Participate in API design reviews. - Contribute to AI harness development to improve team velocity. - Share effective AI-assisted engineering patterns with the team. - Write unit, integration, and acceptance tests. - Instrument services for observability. - Participate in on-call rotations and incident response. - Participate in design discussions and code reviews. - Provide mentorship and review support to junior engineers. - Contribute to internal documentation, runbooks, and onboarding materials. Benefits - Competitive salary and performance-based bonuses. - Flexible work hours and remote work options. - Health, dental, and vision insurance. - Retirement savings plan with company matching. - Professional development opportunities. Company Description We are committed to fostering an inclusive and diverse work environment where everyone can thrive. Our mission is to empower teams to deliver significant product value through innovative technology solutions.

• Provides technical leadership and guides the Pharmacovigilance business to refine and automate business processes and establish system needs. • Gathers, analyzes and documents user requirements for various business initiatives. • Liaisons with IT and ensures requirements are appropriately translated into design specifications for systems and reports. • Analyzes systems support issues and enhancements requests and identifies workarounds or works with IT to design solutions. • Managed access configurations across Argus suites, including Admin and Axway. • Handling Argus upgrade initiatives and data migration projects. • Configured Product/Codelist, Product Family, and Study/License/Product setups, while thoroughly documenting planned and routine changes to ensure alignment with end-user requirements. • Solicits and documents requirements for various project initiatives, analyzes those requirements, works with IT and ensures that requirements are properly translated into design specification for systems and/or reports. • Works independently and defines, streamlines and automates business processes. Provides support in relevant SOP/WPD development. • Solves complex support issues and analyzes root cause for enhancement opportunity, and identifies workarounds or works with IT to design solutions. • Liaises with the business and IT and ensures that all the components and services required for various project initiatives are properly delivered in a timely manner. • Trains end users for systems and processes. Mentors, guides and trains Safety Systems Analysts and Safety Systems Administrators. May serve in a lead capacity. • Attends client meetings when needed and supports the development of proposals for new business. • Stays abreast of the latest developments in related technologies; Shares knowledge with team members. Performs other duties as assigned.

Role Description The Principal Software Engineer serves as a senior technical leader responsible for advancing Lumen's next-generation software architecture strategy, with a focus on AI-native engineering, agentic systems, intelligent automation, and large-scale distributed software solutions. This role operates at the intersection of software architecture, information architecture, and emerging AI technologies. - Drive the design and adoption of reusable architectural patterns, engineering frameworks, and intelligent capabilities. - Transform complex information assets, software services, and emerging technologies into scalable products and automation capabilities. - Combine hands-on technical leadership with enterprise influence. - Partner with Engineering, Product, Architecture, Security, and Operations teams to establish technical direction. - Ensure solutions are scalable, resilient, secure, and aligned with long-term business objectives. Qualifications - Experience designing and implementing production-grade intelligent systems, agentic applications, or AI-enabled software solutions. - Strong understanding of modern AI orchestration frameworks, workflow automation, tool integration, and AI-assisted software delivery. - Deep expertise designing large-scale distributed applications and enterprise software systems. - Experience with cloud-native architectures, event-driven systems, streaming technologies, and highly scalable software services. - Experience designing information architectures and data-intensive systems that support analytics, automation, AI-enabled capabilities, and customer-facing solutions. - Proficiency in one or more modern programming languages such as Python, Java, Scala, Go, or equivalent technologies. - Demonstrated success as a Principal Engineer, Enterprise Architect, Distinguished Engineer, or equivalent senior technical leadership role. Requirements - Lead the adoption of AI-native engineering practices that improve software quality, engineering productivity, and delivery velocity. - Architect scalable distributed systems supporting mission-critical enterprise services and customer-facing applications. - Design information architectures that enable efficient discovery, integration, governance, and consumption of enterprise information assets. - Serve as a trusted advisor to engineering and technology leaders on strategic technical initiatives. - Establish architectural standards and influence technology direction across multiple organizations. - Mentor engineers, architects, and technical leads while fostering a culture of engineering excellence and innovation. Benefits - Comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks. - Bonus structure (short-term incentives, long-term incentives and/or sales compensation).

Role Description We are hiring a Senior Software Engineer to build AI platform and production systems that support advanced computer vision, perception, simulation, and mapping products. This person will own the pipelines, orchestration, APIs, deployment patterns, and operational tooling that turn technically ambitious ideas into durable internal and production systems. This is a senior role for someone who can build practical infrastructure today while laying foundations that remain useful across multiple AI-driven products over time. What You Will Own - Own critical parts of the AI platform and orchestration stack - Build artifact handoff, workflow control, and service interfaces across research and production systems - Manage metadata, storage, run tracking, reproducibility, deployment, and operational reliability across the workflow - Create internal and product-facing interfaces used to launch, monitor, and retrieve AI jobs and outputs - Keep systems simple, reliable, observable, scalable, and cost-aware from prototype through production What You Will Do - Build command-line tools, batch jobs, internal services, and APIs for AI pipeline execution - Define packaging and storage conventions for model inputs, outputs, metadata, and logs - Set up cloud-based inference and data-processing execution and evolve it toward production deployment patterns - Implement job status tracking, error handling, observability, security, and operational controls - Partner with data scientists and simulation engineers to reduce iteration friction across the team - Help design production architecture for scaling usage, managing cost, and serving downstream consumers Qualifications - Strong software engineering background in backend systems, data pipelines, ML platforms, distributed workflows, or production services - Experience with Python services, cloud infrastructure, APIs, and artifact-oriented pipelines - Familiarity with AWS compute, storage, batch-processing, and deployment patterns - Good systems judgment: able to build the minimum durable platform without overengineering while still planning for production realities - Comfortable operating in a small team where speed and clarity matter Requirements - Master’s or PhD in Computer Science, AI, Machine Learning, or related field - 3-5 years of experience in deep learning, computer vision, or multimodal AI Nice To Have - Experience supporting GPU inference workloads, large-model deployment pipelines, perception platforms, or media-generation systems - Familiarity with experiment tracking, dataset versioning, MLOps workflows, or production observability practices - Experience with internal APIs, asynchronous job systems, security controls, or media-processing pipelines Benefits - Health (Medical/Dental/Vision) insurance - Retirement savings plans - Paid time off & leave policies Company Description HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.