Full-stack Engineer

• 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

• 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

• Design and review end-to-end AI/ML solutions: model lifecycle, feature patterns, serving patterns, and integration with business applications
• Partner with data science and product teams to turn prototypes into production systems with clear ownership, monitoring, and maintenance paths
• Stay current on responsible AI considerations relevant to healthcare and regulated data (e.g., explain ability, bias awareness, data governance handoffs)
• Define and implement MLOps practices: CI/CD for models, registries, deployment strategies, A/B or shadow deployments where appropriate, and rollback
• Ensure observability for models and pipelines: performance drift, data quality, latency, and business-aligned KPIs
• Work with security and platform teams on infrastructure, access patterns, and compliance in ML workflows
• Lead design of reliable, scalable data pipelines and platforms that feed training, batch scoring, and real-time inference
• Promote data quality, lineage, and contract thinking so ML and analytics consumers trust what they build on
• Balance build vs. buy (cloud services, feature stores, orchestration) with total cost, maintainability, and team skills
• Translate between business goals and technical options: scope, phasing, risk, and “good enough for now” vs. “must be right first”
• Facilitate planning with product owners, legal/compliance, architecture, and operations; document decisions and follow through
• Mentor engineers and data practitioners; represent the engineering viewpoint in cross-functional forums without losing sight of delivery

Senior Software Engineering Advisor

• 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

• 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

• Design and build end-to-end Forms features across web, mobile, backend services, and platform integrations.
• Lead technical projects from discovery through rollout, including architecture, implementation, testing, observability, and launch.
• Improve the scalability, reliability, and extensibility of the Forms platform as usage grows across customers and product areas.
• Partner with Product and Design to turn customer needs into simple, powerful workflows for field and operations teams.
• Raise engineering quality through thoughtful code reviews, testing strategy, operational excellence, and mentorship.
• Champion, role model, and embed Samsara’s cultural principles as we scale globally and across new offices.

Senior Software Engineer, Full-Stack

• 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

• Contribute to system and component-level architecture design, collaborating with engineers and architects to evaluate options and make sound technical decisions.
• Own end-to-end technical execution of key initiatives, from design through delivery, proactively identifying and mitigating risks and dependencies.
• Lead cross-team initiatives and influence platform-level decisions
• Uphold high engineering standards by actively participating in code reviews and applying best practices in CI/CD, testing, observability, and DevOps.
• Partner closely with Product, UX, QA, Security, and Infrastructure teams to deliver solutions that meet both functional and non-functional requirements.
• Lead complex incident response and technical root cause analysis, including on-call participation
• Mentor and support engineers, fostering strong engineering judgment, collaboration, ownership, and continuous learning.
• Remain deeply hands-on, contributing high-quality, production-ready code to critical components and complex problem areas.
• Balance short-term delivery with long-term technical health
• Troubleshoot and resolve complex production issues, applying strong diagnostic and problem-solving skills.
• Support alignment between product priorities and technical execution, contributing to predictable, high-quality delivery.
• Perform other duties as assigned to support departmental and company objectives.

• 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.

Senior Software Engineer – Care Delivery

• Own and deliver complex, ambiguous projects across the enrollment and early member journey, from problem definition through execution and iteration
• Design and evolve scalable backend systems that power enrollment workflows, reduce time-to-enroll, and enable operational automation
• Partner closely with product, design, data, and operations to identify high-impact opportunities and translate them into technical solutions
• Build and maintain integrations with internal and external systems (e.g., clinical platforms, lab vendors, partner APIs), ensuring reliability, observability, and data consistency across boundaries
• Lead technical decision-making for your team, balancing speed, quality, and long-term maintainability
• Identify and address cross-team dependencies, technical risks, and scaling challenges before they become bottlenecks
• Contribute to and elevate engineering standards, including code quality, system design, and developer experience
• Mentor engineers and act as a technical leader within the team, influencing beyond your immediate scope
• Leverage modern AI-assisted and agentic coding workflows to accelerate delivery and improve engineering productivity

Senior Software Engineer, Activation

• Own the design, development, and operation of large-scale APIs, data pipelines, and event-driven systems that power a wide range of CV-based features.
• Design and own schemas and queries to handle high-traffic, data-intensive workloads.
• Contribute to frontend integrations (Android, iOS, web) to extend backend-powered CV features into user-facing experiences.
• Collaborate with Engineering, Product, Design, and QA partners to deliver scalable, reliable platform experiences.
• Integrate computer vision-powered features into production systems with attention to performance, maintainability, scalability, and platform fit.

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