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

• Build and maintain Python (FastAPI) services with async patterns suited to high-throughput, low-latency workloads.
• Design and implement event-driven integrations (Kafka) to keep data products synchronized with upstream business events.
• Architect PostgreSQL data models that balance query performance with auditability and long-term maintainability.
• Develop APIs that power customer-facing data products—spanning business rules automation, ML-based recommendations, analytics, and configuration systems.
• Build and own React UI surfaces for customer-facing data product features—including management interfaces, dashboards, and configuration tools.
• Collaborate with design and product to translate requirements into polished, accessible interfaces.

Software Engineer III, Data Product

• Responsible for Full-stack development, testing, and maintenance of CBO web applications and backend services
• Builds features across ReactJS front-end and Python/FastAPI backend; manages PostgreSQL data models/migrations; containerizes with Docker and deploys to AWS (ECS/EKS, EC2, S3, RDS, CloudWatch, IAM, VPC)
• Operates in CBO trunk-based development (short-lived branches, feature flags, frequent merge)
• Participates in sprint ceremonies and peer code review
• Writes automated tests (pytest, Jest/RTL)
• Resolves defects/tech debt
• Maintains technical documentation (API docs, ADRs, setup guides)
• Section 508-compliant UI.

Full Stack Software Developer

• Define and evolve the target architecture for FuzeRx’s core B2B and consumer platforms.
• Drive the technical roadmap to transition legacy systems into modern, scalable, and highly cohesive architectures.
• Lead the design and implementation of the most technically challenging initiatives, such as high-volume API integrations, complex pharmacy fulfillment logistics, and distributed data consistency.
• Serve as a mentor and force multiplier for Staff, Senior, and Mid-level engineers.
• Establish and enforce engineering standards across the organization, including coding guidelines, testing frameworks, CI/CD pipeline strategies, and security-by-design principles.
• Collaborate deeply with Product Management, Engineering Managers, and Pharmacy Operations to ensure technical architectures align with long-term business goals and clinical requirements.
• Partner with the InfoSec team to architect systems that natively support strict healthcare compliance standards (HIPAA, SOC2).
• Spearhead initiatives to optimize system performance, reduce latency, and improve database efficiency within our PostgreSQL and AWS infrastructure.
• Continuously evaluate new tools, frameworks, and AWS services, running proof-of-concepts (POCs) to determine their viability for improving the FuzeRx ecosystem.

Principal Engineer

• Research and identify technology upgrades which will enhance the ability to deliver robust solutions
• Ensure the new projects and enhancements to legacy solutions (where possible) work towards an enterprise architecture as opposed to a proliferation of point solutions
• Work with other technical teams to define and identify cross-functional solutions for integration with new or existing technologies
• Lead application and system architecture design working in conjunction with partners in the areas of architecture and infrastructure
• Lead the effort for design, development and implementation to deliver solutions which are easily maintainable and scalable
• Direct or indirect involvement in the development of policies, standards, and guidelines that direct the selection, development, implementation and use of Information Technology within the enterprise
• Provide coaching and guidance to colleagues to ensure applications, services, and processes are developed in a way that complies with architectural guidelines and established methodologies
• Informs management and provides recommendations for mitigation of potential bottlenecks or single-points of failure within the environment that may affect system performance or availability
• Estimate effort required for the design, development and implementation of technical solutions
• Other duties as assigned

Senior Software Engineer

• Design and ship the data normalization, schema mapping, validation, enrichment, and distribution pipeline for a net-new intelligent data warehouse
• Write production code as a hands-on individual contributor - this is not a role that delegates implementation to others
• Take technical ownership from architecture through deployment, with accountability for reliability, performance, and correctness
• Partner with a small seed team to define the end-to-end architecture for an AI-native data warehouse serving institutional financial clients
• Bring opinionated decisions on schema design, normalization strategies, API exposure patterns, and data distribution approaches
• Evaluate and select technologies with a bias toward what ships well and scales sustainably
• Design and implement the evaluation framework that makes AI-generated outputs trustworthy in high-stakes financial data contexts
• Build cross-model comparison tooling, deterministic validation checks, and human-in-the-loop review workflows
• Contribute to shared AI evaluation infrastructure that can serve as a foundation across multiple products
• Use agentic coding tools and LLM-assisted development as your primary workflow - this is how the entire team operates
• Bring strong opinions about how to get the most from AI-assisted development while maintaining quality and reliability
• Set coding standards, review practices, and architectural documentation that will scale as the team grows
• Help define what "good" looks like for a team building at speed without sacrificing quality
• Mentor engineers and provide technical guidance as the team expands

Staff Software Engineer, Data – AI

• Delivery and enablement - Consistently leads the team in the delivery of medium complexity initiatives (with support) from technical discovery through delivery.
• Implementation - Improving the mobile Wikipedia product experiences that serve a global, multilingual audience on iOS.
• Quality, testing and observability - Consistently builds and improves systems & software that is easy to test, observe and debug.
• Cross-functional collaboration - Partners with product managers, designers, analysts, and native app engineers to shape pragmatic solutions that balance user needs, technical constraints, platform expectations, and delivery timelines.
• Prioritisation - Proactively identifies high-impact technical opportunities and risks across a quarter.
• Mentorship - Actively supports the growth and success of others.
• Culture and standards - Raises team standards in code review, technical design, testing, documentation, accessibility, observability, and decision-making.
• Operational Awareness - Plans work with awareness of downstream or upstream effects.

Senior Software Engineer, iOS

• Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data including analyzing facial features, eye movements, and other physiological indicators.
• Build and optimize deep learning models specifically for liveness detection. This involves selecting appropriate algorithms, conducting experiments, and optimizing model parameters to enhance accuracy and reliability.
• Identify and extract features from biometric data that are crucial for detecting spoofing attempts including texture analysis, motion-based detection, and 3D depth analysis.
• Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models.
• Ensure data integrity and suitability for model development.
• Implement machine learning algorithms capable of processing real time biometric data to detect inconsistencies indicative of spoofing attempts which includes integrating multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition.
• Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios.
• Validate models against various spoofing techniques to ensure robustness.
• Deploy liveness detection systems into production environments, ensuring scalability and high performance.
• Continuously monitor system outputs to identify any issues with accuracy or efficiency.

Principal Software Engineer

• Develop backend services and APIs using C#/.NET Core.
• Build secure, responsive, and maintainable frontend applications using React.
• Implement 3D visualization and data-driven UI experiences using Three.js.
• Design and optimize SQL Server schemas, indexing strategies, and aggregation pipelines.
• Implement Redis-based caching and signaling systems.
• Build RAG pipelines, vector search integrations, and retrieval-optimized AI services.
• Develop agentic AI workflows using LangChain, AutoGen, DSPy, or similar frameworks.
• Apply Secure SDLC practices across backend, frontend, infrastructure, and CI/CD workflows.
• Troubleshoot distributed-system performance and scalability issues.
• Deploy and maintain applications using Docker, Kubernetes, and AWS services.
• Collaborate with product, security, and data teams to define engineering standards and deliver high-quality systems.

Senior Full Stack Engineer

• Supports delivery of initiatives.
• Breaks down complex features into tasks, anticipates risks and collaborates to resolve blockers.
• Can successfully build moderately complex features and components with minimal support.
• Takes ownership of bug fixes and production problems.
• Designs and improves features with observability and testing as a core consideration.
• Supports team alignment by asking clarifying questions, reinforcing agreements, and coordinating their work with cross-functional partners.
• Contributes meaningfully to planning and helps scope work.
• Participates in code reviews, design discussions, and technical planning.

Software Engineer III, Core Experiences

• Consistently leads the team in the delivery of medium complexity initiatives from technical discovery through delivery.
• Improving the mobile Wikipedia product experiences across web and app surfaces.
• Takes ownership of creating RESTful APIs, ensuring pipelines are simple to consume and reliable.
• Consistently builds systems & software that is easy to test, observe and debug.
• Partners with product managers, designers, analysts, and native app engineers to shape solutions.
• Actively supports the growth and success of others through mentorship and code review.
• Raises team standards in code review, technical design, testing, and documentation.
• Plans work with awareness of downstream or upstream effects.

Senior Software Engineer, Core Experiences

• Develop, document, and maintain internally developed web applications, integrations, and processes.
• Participate in application design and architecture.
• Understand business requirements and establish root cause to ensure proposed solutions efficiently solve the problem.
• Ensure all delivered code meets quality, security, and performance standards.
• Provide support for the software you and the team develop through creation and refinement of developer, team, support personnel, and end-user documentation.
• Collaborate with support personnel to triage issues and provide end-user support of team generated software.
• Advocate for and enforce peer delivered code meets quality, security, and performance standards through code review/testing in accordance with team standards.
• Work closely with other IT Development and IT Operations teams to provide sophisticated cross-system functionality.
• Work closely with IT operations to ensure reliable application deployment and operation.
• Actively engage in agile/kanban/iterative development methodology.
• Participate and lead requirement gathering processes.
• Participate in, lead and initiate team, department, and business process improvement.
• Participate in and lead preparation and execution of all scheduled and ad-hoc deployment and break-fixes.
• Openly communicate with other team members and management on best practices, issues, new requirements, and architecture.
• Advocate for and enforce peer behavior relating to confidentiality of company information.
• Build on your personal knowledge base through continued education and training, document and share your knowledge with the team.
• Ensure confidentiality of company information.
• Other duties as assigned by management.

Software Developer

• Define and maintain performant, scalable data models in the data warehouse, with a focus on reliability, reusability, and documentation
• Partner with Platform and Data Engineering to build and monitor scalable data pipelines in production
• Serve as a technical authority on data modeling standards, tooling choices, and engineering best practices across the analytics function
• Translate ambiguous business needs into clean, well-scoped data products — from one-time analyses to production-grade dashboards
• Advocate for and drive adoption of industry best practices
• Define the organization's experimentation standards: what constitutes a well-designed study, how results are interpreted, and how findings are documented and shared
• Design and execute experiments — hypothesis testing, data analysis, A/B tests, quasi-experiments, and observational studies — in partnership with Operations, Marketing, and Product stakeholders
• Evaluate, select, and implement the experimentation stack — prioritizing open-source and low-overhead tooling that can mature with the practice
• Bring statistical rigor to ambiguous questions: help teams move from "we want to know if X works" to a study design that can actually answer that question
• Communicate findings to non-technical audiences with clarity, including Senior Leadership and external partners

Senior Engineer, Analytics, Operations Intelligence

• Collaborate with product development and other teams to translate business initiatives into concrete technical requirements.
• Create innovative solutions to support partners and customers by building applications that deliver required functionality while adhering to best practices in development and testing.
• Work with the engineering team on the optimal design and maintenance of the large Snowflake data lake that powers the APIs.
• Create quality internal and external documentation for your work.
• Create data, metrics and visualizations, as needed, for complex algorithm verification and optimization.

Senior Software Engineer – APIs

• Deliver Molecular Dynamics based solutions for predicting protein-ligand binding affinities
• Extend capabilities in molecular dynamics and related tools
• Collaborate with scientific developers and academic partners
• Contribute to the development of software tools and methodologies

Scientific Software Developer – Affinity

• Apply Generative AI techniques to solve complex business problems by identifying opportunities where AI can enhance existing software systems and create new intelligent features.
• Integrate Generative AI models and capabilities into production software applications, bridging the gap between Generative AI research and practical software engineering implementation.
• Evaluate and select appropriate Generative AI models, tools, and techniques for specific use cases, considering factors like performance, cost, maintainability, and business impact.
• Write high-quality code that combines traditional software engineering with AI components, ensuring robust integration, proper error handling, and comprehensive test coverage.
• Review and translate product requirements into technical solutions that leverage AI effectively, designing systems that seamlessly blend AI capabilities with core application functionality.
• Lead design and code reviews for AI-enhanced applications, ensuring best practices in both software engineering and AI implementation while maintaining Mercury standards.
• Lead multiple sprint teams to deliver AI-powered features and improvements, addressing technical challenges in integrating AI into existing software systems.
• Collaborate with product managers, data scientists, and engineering teams to identify AI opportunities and translate them into practical software solutions.
• Mentor engineers on how to effectively incorporate AI into their software development practices, promoting understanding of AI capabilities and limitations.
• Drive practical AI adoption across teams by demonstrating how to effectively combine software engineering principles with AI technologies.
• Collaborate with product managers to estimate effort for AI-enhanced features, prioritize AI integration opportunities, and deliver measurable business value through AI implementation.

Staff Software Engineer – AI

• Staff Engineers at Orion assist in various tasks including plan preparation, quantity calculations, structural analysis and design, public involvement, report writing, specifications, cost estimates, construction administration and other related tasks.
• Candidates with an interest in inspection and assessments, development of detailed plans and specifications, and construction engineering of bridge and building structures are recommended.
• Preparation of design computations, plans, specifications and quantity and cost estimates.
• Conduct bridge inspections and prepare Bridge Condition Reports.
• Use a variety of software and programs for structural analysis and design, and plan preparation.
• Assist on constructability reviews and value engineering reviews.
• Supports the lead on the clients’ project delivery goals and supports the project engineer on issues and obstacles which may compromise or influence the achievement of such goals.
• Delivers high quality project documents and files.

Design Staff Engineer

• Extend OpenEye’s programming toolkits by developing and implementing new and useful scientific and technical features to aid customers in developing bespoke solutions.
• Explore methods for further enhancing OpenEye’s virtual screening platform (including OMEGA, ROCS, FastROCS, OEDocking).
• Apply chemistry/cheminformatics expertise with ML experts to build robust, scalable models to support data-driven decision making.
• Work on retrospective and prospective projects both internally and with collaborators to validate methodologies.
• Work with Orion project team to further optimize compound design workflows in Orion.

Scientific Software Developer II – Modeler

• Understand technical specifications for product code and create technical specifications for products and product features
• Create innovative solutions by writing high-quality code
• Execute manual and automated unit tests
• Document your code and update the status of your work
• Create data and metrics for complex algorithm verification

Software Engineer – Core Platform

• Build and enhance scalable Python and Golang services to power our member facing mobile app, and care delivery systems with a focus on supporting our patients and care teams.
• Contribute to building a digital first experience for patients and scaling care delivery.
• Partner with product management, design, analysts and non-technical stakeholders to come up with high-impact features that make metabolic weight loss feel accessible and exciting to our members.
• Contribute to the growth of the engineering team by sharing knowledge, mentoring peers, and helping introduce standardizations and processes that improve technical quality.

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