Full-stack Engineer

• Technical Leadership & Architecture: Define the long-term technical vision and architectural roadmap for FuzeRx’s B2B and consumer platforms. Drive decisions around microservices design, API design, database schemas, and data pipelines.
• Engineering Excellence & Code Quality: Lead by example by writing clean, highly optimized, and maintainable code for critical system components. Establish engineering standards, champion rigorous code reviews, and advocate for modern testing practices.
• System Scalability & Performance: Own the reliability and performance of our core platforms. Diagnose and resolve complex systemic issues, optimize heavy PostgreSQL workloads, and architect high-throughput infrastructure on AWS.
• Cross-Squad Force Multiplier: Act as a technical consultant and mentor to engineers across multiple squads. Break down ambiguous, massive technical problems into actionable execution phases that junior and senior engineers can successfully deliver.
• Cross-Functional Collaboration: Partner closely with Product Managers, Pharmacy Operations, and Engineering Managers to evaluate technical feasibility, de-risk complex roadmaps, and align technology choices with business objectives.
• Security & Compliance Safeguarding: Architect systems with privacy by design. Ensure our codebase, data-at-rest, and data-in-transit adhere strictly to healthcare regulations (e.g., HIPAA, SOC2), safeguarding sensitive patient data.
• Innovation & R&D: Evaluate emerging technologies, frameworks, and patterns. Build prototypes and proofs-of-concept (POCs) to derisk new initiatives before they are rolled out to the wider engineering team.

Staff Software Engineer – Fuze Health

• Work collaboratively with clients, vendors, contractors, and other Project Farma Team Members to support projects related to biomanufacturing across the entire engineering lifecycle.
• Apply advanced technical skills to meet project team and client needs for developing/maintaining project schedules and monitoring project performance.
• Interfacing directly with project management, client management, and site personnel for the development of detailed integrated schedules.
• Deliver high quality work and maintain valuable relationships with clients while strengthening technical and industry knowledge.
• Lead key project controls deliverables including project plans, execution schedules, activity tracking, budget estimates, cost reports, and scenario analysis reports.

Project Controls – Engineer III/Lead Engineer

• hands-on building the technology and architecture of world class end-to-end systems

Principal Full Stack Engineer

• Drive the development of the “Agent Ecosystem” by designing, building, and operationalizing enterprise-grade AI agents and the orchestration layer that seamlessly coordinates their interactions.
• Serve as a player-coach, balancing hands-on engineering, building agent prototypes and platform components, with strategic guidance, including shaping product direction, advising on implementation best practices, and fostering a culture of technical excellence.
• Initially focus on creating foundational patterns and frameworks that can be leveraged across the broader agent development landscape, enabling scalability and reusability.
• Design Agents and implement an agent orchestration layer (routing, tool-calling patterns, workflow coordination, agent registry integration, state management, and failure/fallback strategies) by leveraging your software development super-powers (Python).
• Define and apply enterprise agent patterns (standard agent templates, reusable components, and orchestration controls).
• Establish observability/monitoring for agents and orchestrations: logging, tracing, drift detection signals, agent-specific metrics, and operational dashboards.
• Integrate Microsoft Azure services and Microsoft ecosystem components (with emphasis on Azure AI capabilities and “Foundry” experience where applicable).
• Partner with leadership to clarify expected outcomes/vision and translate them into an executable build plan, architecture decisions, and delivery milestones.
• Operate and support production grade AI solutions to meet availability, reliability, and performance expectation.
• Perform routine model, prompt, and configuration updates within approved change processes.
• Embed Applied AI Evals considerations into the platform: governance hooks, auditability, risk controls, and operational readiness for agents.

Software Developer, AI Agents

• Design, develop, and maintain backend systems using Scala, leveraging Kubernetes for container orchestration
• Architect, deploy, and manage backend applications in a Kubernetes environment to ensure scalability, availability, and resilience
• Implement and enhance microservices architecture for trading applications, promoting modularity and maintainability
• Develop distributed systems to support high-performance and low-latency trading platform requirements
• Implement robust monitoring and logging solutions to track and analyze backend system performance in real time
• Integrate backend systems with various market data feeds, ensuring accurate and timely data for trading activities
• Collaborate with cross-functional teams, including frontend developers, UX/UI designers, and other engineers, to deliver end-to-end trading solutions
• Create and maintain technical documentation for backend systems, Kubernetes configurations, and deployment procedures
• Work directly with project managers to help deliver solutions

Senior Software Engineer II, Trading Services

• Drive the design and development of modular, reusable front-end components in Angular
• Define and execute on tech vision in consultation with architecture, engineering and product leadership
• Leads the creation and maintenance of engineering standards to ensure relevance and innovation
• Architect and implement robust back-end services using Python, EKS, and AWS
• Champion standard processes in modular application design, including micro-frontends, shared libraries, and integration patterns
• Mentors agile teams including developers, testers and analysts

Director, Full Stack Engineer

• Build and operate scalable data platforms and shared data products that power Zillow’s next generation of AI experiences
• Own and evolve trace and event data foundations that support analytics, online and offline evaluation, observability, governance, and future learning workflows
• Design and operate production-grade batch, streaming, and near-real-time data pipelines using Databricks, Spark, Python, SQL, and modern lakehouse patterns
• Improve platform reliability through schema management, data quality validation, alerting, anomaly detection, and production support for business-critical AI data products
• Partner with engineering, analytics, and science teams to turn evolving AI data needs into reusable infrastructure and governed data products
• Help define the long-term architecture for AI data systems, including data contracts, eventing patterns, retention approaches, and cleaner downstream interfaces

Senior Software Development Engineer, Agentic AI Data Services

• Lead a team of iOS and Android engineers through the full delivery lifecycle: scoping, estimation, architecture, implementation, testing, release, and post-release monitoring.
• Own the mobile technical roadmap, including platform strategy, dependency management, CI/CD pipelines, release cadence, and store submission processes for both Apple App Store and Google Play.
• Set and enforce engineering standards: code review discipline, automated testing coverage (unit, integration, UI/E2E), crash-free session targets, performance budgets, and accessibility compliance.
• Drive a test-first culture. You are responsible for defining what "done" means and ensuring the team meets it. Expect to defend coverage thresholds and reject work that does not.
• Operate as an AI-first engineer and require the same of your team. Use Cursor, Claude Code, GitHub Copilot, or equivalent for code generation, refactoring, test scaffolding, and review.
• Establish team norms for prompt patterns, model selection, review of AI-generated output, and where AI tooling should and should not be trusted.
• Partner with product, design, backend, QA, and DevOps to translate ambiguous requirements into concrete, shippable work.
• Coach and grow engineers through 1:1s, pairing, structured feedback, and performance reviews. Hire when needed.
• Be the escalation point for production incidents affecting mobile clients.

Mobile Engineering Team Lead

• Lead the strategy, design, and execution of AIOps platforms and capabilities to enable Zero Touch Production across CCIBT
• Define and drive enterprise-wide AIOps roadmap, including observability, event correlation, anomaly detection, predictive insights, and automated remediation
• Architect and implement self-healing systems leveraging AI/ML, event-driven automation, and closed-loop workflows
• Drive adoption of intelligent incident management, root cause analysis (RCA), noise reduction, and auto-resolution techniques
• Establish target-state architecture and engineering standards for AIOps platforms, tooling, and integrations
• Influence enterprise technology strategy by evaluating emerging AIOps trends, tools, and frameworks
• Partner with SRE, infrastructure, cloud, and application teams to embed AIOps into SDLC, CI/CD, and production operations
• Lead large-scale engineering initiatives with cross-functional and enterprise impact
• Provide thought leadership on resilience engineering, reliability, automation, and production excellence
• Mentor and guide senior engineers and teams on AIOps best practices, architecture, and implementation
• Collaborate with risk, compliance, and governance teams to ensure secure, compliant, and auditable automation

Principal Engineer – AI Ops

• Leverage advanced data analytics to derive insights and optimize credit strategies across products and geographies.
• Partner with Engineering to design and build scalable risk models and credit risk capabilities.
• Monitor portfolio performance and macroeconomic trends that impact loan outcomes; proactively adjust underwriting and marketing strategies to mitigate risk.
• Collaborate closely with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements across jurisdictions, and translate them into credit policy, underwriting, and product design recommendations.
• Engage and coordinate with external stakeholders — including merchants, vendors, and regulatory bodies — to align credit risk practices, ensure compliance, and strengthen strategic partnerships.
• Oversee the development and execution of credit underwriting frameworks that balance growth, compliance, and risk mitigation goals.
• Drive cross-functional discussions to ensure new product launches and market entries are aligned with risk appetite, operational capabilities, and local regulations.

Analyst II, Full Stack, Credit Analytics

• Design and implement enterprise-grade automation frameworks integrating RPA, AI/ML, and cloud-native services (Azure Logic Apps, AWS Step Functions).
• Establish standards for bot orchestration, error handling, and scalability.
• Implement complex integrations across ERP, CRM, and custom applications using APIs and middleware.
• Ensure compliance with Security, privacy, regulatory requirements and cybersecurity standards in automation solutions.
• Conduct capacity planning and load testing for automation infrastructure.
• Optimize bot utilization and resource allocation across environments.
• Lead small project teams and provide technical guidance throughout the project lifecycle.
• Identify and mitigate technical risks and dependencies across systems.
• Lead design sessions and ensure alignment with business and technical goals.
• Guide and mentor engineering teams in solving complex technical challenges.
• Evaluate emerging technologies and recommend adoption strategies for long-term innovation.
• Collaborate with stakeholders to define technical roadmaps and project milestones.
• Lead incident response and post-mortem analysis for critical production issues.

Principal Engineer, UiPath Automation

• Lead the design and delivery of large-scale software initiatives.
• Drive architecture and technical decisions across multiple teams.
• Build scalable, reliable, and maintainable backend systems.
• Partner with Product, Engineering, and Leadership stakeholders.
• Mentor engineers through technical guidance, design reviews, and best practices.
• Improve system performance, reliability, and operational excellence.
• Help define engineering standards and contribute to technical strategy.

Staff Software Engineer – US SaaS

• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
• Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Principal Engineer – Employee Compliance Technology

• Defines, analyzes, and evaluates organizational needs relating to AI-enabled solutions, automation, and collaboration technologies.
• Partners with stakeholders to gather requirements and design scalable, secure, and maintainable AI applications.
• Leads development of modern solutions using C# and .NET Core/.NET 8.
• Develops and deploys cloud-native applications on Azure using: Azure Web Apps / App Services, Azure Function Apps, Durable Functions for orchestrated AI workflows.
• Implements event-driven and distributed system patterns leveraging: Azure Service Bus Asynchronous messaging and integration frameworks.
• Builds AI-powered solutions using: Azure AI Foundry, Azure OpenAI (chat models, embeddings, vector search), Retrieval-Augmented Generation (RAG) architectures, AI agents and orchestration frameworks.
• Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and workflows.
• Designs and maintains secure APIs and backend services integrating with: Azure SQL Database, Enterprise document repositories and business systems.
• Builds containerized workloads using Docker and supports modern deployment strategies.
• Implements observability, telemetry, and performance monitoring through: Azure Application Insights, Logging, tracing, and alerting best practices.
• Develops and maintains CI/CD pipelines using Azure DevOps or GitHub Actions to ensure reliable automated deployments.
• Supports Azure governance and security requirements, including identity, compliance, and networking controls.
• Provides quality assurance, documentation, and knowledge transfer for developed AI systems.
• Responds to escalated production issues and provides technical leadership in root cause resolution.
• Other duties as assigned by IT leadership.

Software Developer

• Own the product area's company-level objectives and the engineering plan that delivers them
• Translate company priorities into product area plans and team plans, in a way that flows both up and down
• Be responsible for architecture-level trade-offs across the area's teams; own the technical roadmap and how it balances against product commitments
• Represent the product area in s-team forums and engineering-wide leadership conversations
• Coach EMs to a higher bar with clear feedback, growth plans, and direct support
• Hold the line on engineering practices: flow-based delivery, vertical slicing (nothing >5 days, no project >4 weeks), WIP discipline, Definition of Done, observability, AI-native development
• Address performance issues early and clearly; develop managers out of "fine" performance into great performance
• Be directive when our values, quality bar, or ways of working are at stake
• Support and drive architecture and systems design decisions across the area; ensure systems are reliable, maintainable, and operationally ready
• Take accountability for SLAs and incident response across the area
• Make tech-debt and reliability trade-offs on purpose, not by accident
• Co-own outcomes with PM and Design leads (roadmap, quarterly goals, quality bar)
• Partner with Revenue, Ops, CX, and other functions as the product area requires
• Build pragmatic interim solutions that work today and migrate cleanly to Platform services as they mature

Engineering Lead, Core Product Engineering

• Lead enterprise reporting and data strategy across critical functions
• Own end-to-end data and reporting platforms
• Ensure scalable architecture and efficient operations
• Drive cross-functional collaboration, business value, compliance, and modernization across the data ecosystem
• Partner directly with SVP-level stakeholders to drive requirement alignment and business outcomes
• Lead the roadmap, architecture, and lifecycle management of enterprise data platforms
• Ensure reliable development and support of ETL/ELT frameworks
• Lead strategy and development for Sigma, Power BI, SSRS, and dashboarding solutions
• Provide strategic and technical leadership for teams supporting enterprise reporting and data
• Manage vendor relationships, contract negotiations, and budget planning
• Promote modern agentic AI, DevOps, CI/CD, and orchestration practices across data engineering and reporting pipelines

AVP, Software Engineering – Enterprise Reporting and Data

• Working with fellow Nava engineers to design, review, and build well-crafted software
• Collaborate with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems
• Working in an agile manner to efficiently ship new features that meet user needs
• Write and maintain documentation for test plans, test cases, and test results
• Monitor and analyze test results, and report defects and performance issues to development teams
• Ensure compliance with security best practices in all testing activities
• Participating in an on-call rotation to support production systems and investigate issues when they occur
• Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed

Software Engineer, Test Automation

• Leading architectural design and ensure technical consistency.
• Helping lead our shared search platform – expanding content search, improving relevance via vector and lexical search techniques.
• Building world-class search systems to enhance users’ search experience.
• Automating processes to assist other teams.
• Collaborating on new ideas to optimize systems and engineering workflows.
• Building relationships with other engineering teams to identify and solve their pain points.
• Working across the stack, from development to infrastructure.
• Designing and developing scalable data processing workflows and microservices using Spark, Spark Streaming, and Airflow.
• Writing clean, modular, and testable code in Python, Java, or Scala, aligned with coding standards and architecture guidelines.
• Lead implementation of system components that span multiple services and modules.
• Diagnose and resolve complex technical issues across distributed systems and data workflows.
• Leading design discussions, code reviews, and architecture sessions to ensure software quality and maintainability.
• Developing and maintain data models to support analytical and operational use cases.
• Collaborate with cross-functional stakeholders to translate product requirements into reliable engineering solutions.

Principal Software Engineer – Search Systems

• Design, develop and maintain high-quality, user-centric interfaces and components
• Architect, build and maintain high-performance, robust and scalable services
• Work closely with product and design teams to understand end-user requirements and translate them into effective user interfaces
• Participate in the design and optimization of CI/CD pipelines and infrastructure using Docker, Kubernetes and AWS
• Write clean, testable and well-documented code using JUnit and other testing frameworks
• Ensure application security by following industry best practices ( OWASP, OAuth 2.0)
• Guide, coach and mentor junior team members, fostering their professional development
• Actively participate in Agile ceremonies to break down work, deliver new features and write, review and test code
• Stay updated on emerging technologies and industry trends to drive innovation

Senior Software Engineer

• Apprentices will be joining a technology apprenticeship program, which is designed to introduce associates with little to no work experience to technology roles.
• The role is created to provide on the job training and build skills as an apprentice.
• Work assignments are well defined with a high degree of supervision and direction provided.
• Apprentices may provide analytical and technical skills to support the design, development, implementation of technology solutions to support our clients and manage risk.
• Apprentices are responsible for delivering innovative capabilities in a team environment, as well as leveraging skills, background, and interests for a specific group within technology lines of business participating in the program.
• This role may be responsible for developing and delivering complex requirements to accomplish business goals.
• Key responsibilities may include ensuring that software is developed to meet functional/non-functional requirements, coding solutions, and unit testing.

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