Full-stack Engineer

• building tools and services that help developers do their best work
• supporting tens of thousands of developers across CVS Health
• driving the delivery automation of CVS Health Enterprise Engineering
• identifying, analyzing system design weaknesses, and troubleshooting complex technical issues
• assisting the team technically around automation of incidents and End to end CI/CD pipelines

Senior Software Development Engineer – Developer Tooling

• 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

• Architect, design, and implement highly scalable, fault tolerant, cloud native services using container orchestration platforms (e.g., Kubernetes) and fully automated CI/CD pipelines following DevOps principles
• Apply advanced software engineering practices across the full SDLC—including domain driven design (DDD), design patterns, secure coding, automated testing strategies (unit, contract, integration), code quality gates, trunk based development, and continuous observability
• Troubleshoot and lead resolution of complex distributed system issues, including data consistency challenges, cross service dependency failures, performance bottlenecks, and distributed tracing analysis using tools
• Collaborate with product, architecture, and business stakeholders to define long term technical roadmaps, shape functional and non functional requirements, influence prioritization, and define measurable KPIs to evaluate engineering and business outcomes
• Design and enforce microservice resiliency patterns such as circuit breakers, bulkheads, retries with exponential backoff, rate limiting, and service discovery, ensuring consistent adherence across all service integrations
• Build and optimize real time streaming data pipelines leveraging event streaming platforms (e.g., Kafka, Pub/Sub) and CDC frameworks to propagate data from SQL/NoSQL stores to analytics and ML systems with strict latency and throughput requirements
• Collaborate closely with engineering, platform, and business teams to deliver cost optimized, scalable solutions—leveraging cloud cost profiling tools, storage tiering strategies, service right sizing, and architectural simplification
• Own the reliability, performance, and lifecycle of existing platforms, including production support, SRE aligned operational excellence, automated recovery strategies, and incremental modernization/refactoring
• Influence and standardize the use of emerging technologies, frameworks, and tooling to streamline development processes and advance overall search quality
• Lead technical risk assessments, architectural reviews, compliance validation, and engineering audit activities, providing mitigation strategies aligned with security, governance, and regulatory frameworks
• Mentor and develop engineers across levels, providing architectural guidance, conducting design reviews, establishing engineering standards, and promoting a culture of technical excellence and knowledge sharing

Staff Software Development Engineer – Fulfillment

• 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 build services in a continuous delivery model on a cloud platform.
• Partner with leads and architects to establish a technical vision and deliver innovative services.
• Work within microservices architecture, domain driven design, and RESTful APIs using Java.
• Work in a distributed/cloud-based environment, including Amazon Web Services & Kubernetes.
• Use data structures, algorithms, and architecture patterns.
• Define solutions, provide estimates on effort and risk, and evaluate technical feasibility.
• Use modern build strategies, continuous integration, unit testing, static analysis, and automated integration tests.
• Practice full DevOps to ensure a culture of testing and releasing software on Amazon Web Services continuously.
• Leverage NoSQL using Amazon Web Services to ensure data storage is designed for security, reliability, availability, maintainability, and performance.
• Deliver software in a Scrum development process.
• Perform technical code reviews and pair programming.

Software Engineer II

• Provide strategic leadership and oversee the digital engineering function by managing a team of engineers
• Define technical strategies and roadmaps, ensuring successful project delivery
• Foster a culture of innovation and collaboration within the engineering team
• Create alignment between business goals and technical solutions
• Establish KPIs and OKRs for continuous improvement of digital engineering capabilities
• Collaborate closely with other technical teams to drive technical excellence

Senior Manager – Software Development Engineering

• Support strategic vision and technical priorities for the FS Analysis discipline, aligned to long-term Sector strategy.
• Lead projects with contributions from Sector subject matter experts in the FS Analysis discipline, supporting process, tool, and training development with a goal to strengthen technical excellence and workforce capabilities that result in improved business results.
• Partner with NG Fellows within the FS Analysis discipline to advance Sector- and Enterprise-wide emerging technologies and future workforce capabilities.
• Develop and maintain FS Analysis Principles and Operating Practices (PrOP), Process Asset Library (PAL) manuals, and Nimbus Process Models, ensuring technical excellence and compliance in partnership with program execution teams.
• Develop, deploy, and sustain FS Analysis discipline tools, ensuring tools are integrated into discipline process models, supporting overall digital solution strategies, and are relevant, scalable, and interoperable across programs.
• Develop FS Analysis training curriculums and plans to enable a prepared and high-performing work force to promote technical efficiency and effective tool usage in support of program execution teams.
• Develop and monitor FS Analysis discipline-specific metrics to measure process, tool, and training effectiveness.
• Manage the FS Analysis discipline budget, including indirect and non-contractual technical efforts to advance tools, processes, and workforce capabilities that generate measurable impact on program performance and future competitiveness.
• Regularly interface with FS Analysis discipline program leaders to identify program needs and identify solutions that can close gaps in engineering tools, processes, and technical training.
• Build and sustain a strong FS Analysis Community of Practice (CoP) by leading working groups that promote knowledge sharing and the identification of strategies and associated priorities for process, tool, and training initiatives that ultimately foster collaboration and acceptance across programs.

Staff Engineer – Aeronautical, Flight Sciences Analysis Discipline Lead

• 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

• Define and drive the technical direction for modern, cloud‑native applications built with Flutter across web and mobile
• Partner closely with product, architecture, and engineering leadership
• Make pragmatic, high‑impact design decisions that balance speed, quality, and long‑term maintainability
• Remain hands‑on with critical‑path systems while mentoring senior and staff engineers
• Establish clear expectations for reliability, security, performance, and operability
• Elevate engineering quality, accelerate delivery, and foster a culture of craftsmanship, learning, and continuous improvement

Principal Software Engineer

• 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

• 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.

Senior Software Engineer, CV Applications

• Design and build systems that power dynamic pricing, marketplace matching, and auction workflows, using modern and AI-assisted development practices
• Develop high-quality full-stack applications (React, Vue) and backend services (Java), enabling scalable and reliable marketplace operations
• Implement and optimize pricing logic, bidding mechanisms, and supply-demand balancing, incorporating data-driven and AI-informed approaches where appropriate
• Ensure scalability, reliability, and performance of marketplace systems through robust architecture and AWS-based infrastructure
• Collaborate cross-functionally with product, data, and business teams to refine pricing strategies and identify opportunities to enhance marketplace efficiency using AI

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