Full-stack Engineer

• 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

• Design and implement semantically consistent, scalable 360 data models that integrate data across domains
• Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets
• Write production-quality, testable code in SQL and Python (or equivalent)—delivering performant and maintainable data assets
• Leverage AI coding assistants (Claude, Copilot, Cursor, and similar) to accelerate development
• Develop and share patterns, prompts, and workflows that help the team get more leverage out of AI tooling
• Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models
• Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage
• Help define and enforce standards for data modeling, documentation, and governance within the semantic layer

Staff Software Engineer – Semantic Data Team

• 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

• 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

• Survey the technical landscape to identify the right tools, platforms, and technologies to accomplish modernization objectives
• Develop solutions that leverage generative AI and traditional engineering approaches to understand legacy systems and their business rules
• Build proofs of concept, prototypes, and demonstration applications that showcase modernization capabilities
• Design and implement approaches for translating legacy systems into modern architectures and technology stacks
• Develop solutions that reduce modernization risk by validating replacement applications and ensuring functional parity
• Brainstorm and evaluate multiple approaches to complex technical problems, identifying trade-offs and risks
• Experiment with new technologies and methodologies to rapidly identify successful patterns and limitations
• Collaborate with engineering teams, subject matter experts, and government stakeholders to understand constraints and build support for modernization strategies
• Create reusable patterns, playbooks, and processes that help teams modernize legacy systems more effectively
• Support modernization efforts by applying tools and approaches to real-world client challenges

Senior Software Engineer – Tech Modernization

• Design, develop, and implement scalable and reliable software solutions using Kafka, ElasticSearch, and other modern technologies
• Contribute to the long-term architecture and design of our cloud-native infrastructure
• Write clean, maintainable, and well-documented code
• Participate in code reviews and collaborate with other team members to ensure high code quality
• Troubleshoot and resolve issues in a timely and efficient manner
• Demonstrate strong ownership and ability to collaborate with stakeholders and exercise technical influence across partner teams

Staff Software Engineer

• You will lead frontend architecture and product execution on Portal, while contributing across the stack where needed (Python services, data pipelines, APIs).
• You will have the freedom to suggest and drive new initiatives — including how Portal evolves as the unified data home base at Instacart.
• You are expected to mentor other team members and be a champion of engineering excellence, particularly around frontend craft, performance, and UX quality.
• You will work closely with other teams (Data Science, ML, Product Eng, Infra) to understand their main pain points around data and translate them into self-serve and reliable solutions.

Senior Software Engineer II – Self-Serve Productivity

• Troubleshoot and repair custom automation and OEM manufacturing equipment supporting the Water manufacturing line of business
• Perform maintenance on high tech mechanical systems including robotics, pick and place, and cam driven equipment
• Disassemble, repair and reassemble complex mechanical assemblies
• Perform technical evaluation of events to determine root cause and recommend corrective action
• Compile and analyze engineering data, patterns and other information and draws conclusions
• Build, manage and maintain an organized inventory management system using a CMMS
• Monitor and inspect completed and in-process work

Senior Engineering Technician – 2nd Shift

• Lead the design and implementation of new ad formats
• Collaborate across teams and across functions to set product requirements and long-term strategies
• Uphold and elevate technical standards, ensuring superior code quality, test coverage, and system performance
• Embrace cross-functional roles and tackle challenges beyond just code to amplify product outcomes

Senior Software Engineer, Ads

• Design, build, and maintain high-quality backend applications.
• Lead the development of our backend system's roadmap, prioritizing scalability and reliability.
• Innovate and think creatively to develop new features that enhance our customer's shopping experiences.
• Own and lead major components of our product, ensuring they meet both internal standards and external expectations.
• Collaborate across teams to foster a unified approach to product development, facilitating consensus and driving effective outcomes.
• Responsible for the strategic planning and execution of projects you oversee, from inception to deployment and maintenance.

Senior Software Engineer II, Core Experience

• Develop tools that leverage generative AI along with our technology solutions to assemble functional demos of government digital services for a variety of government programs
• Design and implement example applications using our open source platforms that can be demonstrated to potential clients in bids and conferences
• Support project teams in using our platforms and iterate based on their feedback

Software Engineer – Gen AI

• Design, develop, and maintain robust, scalable, and high-performance web applications.
• Build and evolve shared component libraries and design-system assets used across multiple Mobility applications.
• Craft systems designs, lead design decisions, and drive alignment with other senior engineers.
• Lead comprehensive automated testing strategies, including unit, integration, end-to-end, load, and performance testing.
• Identify bottlenecks and tech debt; drive incremental scalability, and stability improvements.
• Develop and enhance automation frameworks for testing, monitoring, auto-scaling, continuous integration and deployment to reduce time to market.
• Partner with Product, Design, and UX to deliver high-quality user experiences.
• Lead code reviews (comment, approve, seek revisions, merge), and champion engineering best practices, and continuously raise the quality bar.
• Troubleshoot complex production issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability.
• Conduct objective and comparative analyses of competing technologies to advise the team of pros and cons of a technology solution.
• Devise mechanisms to create robust documentation (design docs, run books, change management docs, and readiness plans).
• Design tech strategy for live-site support by designing monitoring systems via code, ensuring rapid incident resolution, and driving continuous improvement.
• Drive cross-team projects as a single-threaded-owner (STO) or tech lead, and actively unblock other engineers to make progress.
• Gain hands-on experience with automation and AI-driven engineering solutions.

Staff Software Development Engineer, Web

• 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

• Build and maintain high-performance data acquisition pipelines that integrate with a variety of systems across WEX and third-party vendors
• Contribute to the development of a modular ingestion platform that enables reusability, reliability, and observability at scale
• Implement core pipeline components such as schema validation, transformation orchestration, error handling, and audit logging
• Support batch and streaming ingestion flows, ensuring the platform meets varying latency and volume requirements across business units
• Ensure traceability, lineage, and security through integration with control plane and governance systems
• Participate in code reviews, design sessions, and incident resolution—promoting high standards for code quality and operational reliability

Senior Software Engineer – Data Acquisition

• Lead and drive the development of technology and platform for the company's AI/ML engineering needs
• Help design the architecture and lead the implementation of the AI/ML infrastructure, platform and services
• Challenge the status quo and drive for better technical solutions
• Guide your team to leverage data and/or AI technology or tools in your design and development
• Show strong thought leadership and influence peers
• Partner closely with other senior engineers to understand business needs
• Engage with external partners to evaluate technologies and services that complement AI/ML strategy
• Create, prioritize, manage, and execute roadmaps and project plans
• Drive technical vision and strategy of AI/ML infrastructure
• Provide technical guidance and effective training & mentorship to engineering teams

AI Principal 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

• Build and ship full-stack product features across a Python/Flask backend and React frontend.
• Design and evolve REST and GraphQL APIs, working closely with product and other engineering teams to define clean, durable interfaces.
• Work with SQLAlchemy ORM and relational data models to build reliable, performant backend services.
• Contribute to our growing LLM-powered feature set - building integrations with AI models, designing prompts and pipelines, and thinking carefully about quality and reliability in AI-assisted workflows.
• Communicate trade-offs and provide feedback on code and implementation decisions to peers as part of everyday development
• Collaborate with design, product, and other engineers to deliver high-quality work end-to-end.

• lead our team in acquiring and processing high-volume data
• drive the evolution toward AI-augmented, spec-driven software development
• recruit, mentor, and lead a high-performing team of software engineers focused on data acquisition
• pioneer the adoption of AI-assisted software development across engineering teams
• establish and enforce a specification-first development methodology
• drive the migration to automated, metadata-driven, and declarative engineering architectures
• define and execute the technical roadmap for all data acquisition pipelines and systems
• provide authoritative technical direction on the design, development, and maintenance of data ingestion frameworks
• partner closely with Product Management, Data Science, Data Governance, and other engineering teams
• institute and champion continuous improvement in engineering processes, tools, and methodologies
• guarantee the high availability and performance of all data acquisition systems

Senior Manager, Software Engineering – Data Acquisition

• Writing and implementing code
• Performing local testing to ensure acceptance criteria have been met
• Writing technical specifications (tech specs) to introduce new functionality or features to the codebase
• Receiving and applying feedback to the codebase before implementation
• Reviewing pull requests to identify needs prior to merging
• Providing feedback to teammates on pull requests for collaboration on proposed changes
• Implementing and testing updates for design systems such as web designIdentifying and proposing solutions to blockers encountered with the work
• Collaborating with internal and external engineers via engineering huddles
• Attending standup meetings to discuss project updates and status
• Participating in refinements to estimate level of difficulty for each ticket
• Participating in biweekly retrospectives (retros) to discuss sprint efficiencies or inefficiencies
• Participating in sprint demo meetings to demonstrate work completed or in progress
• Sharing expertise with others by providing feedback to designers, project managers, and other engineers to develop solutions and priorities
• Serving as a resource to peers on Nava’s culture and expectations
• Participating in Engineering critiques with other teams to provide and receive feedback on work performed
• Interfacing with clients to provide project updates and propose solutions

Software Engineer, FHIR

• Leads the conceptualization, design, development, implementation, and maintenance of new and existing features for Mainframe applications.
• Develop and maintain COBOL programs, JCL, DB2, IMS, and VSAM structures across batch and online environments
• Collaborates with Principal SE and architects on coding standards, processes, tooling and frameworks
• Analyze business and technical requirements to determine appropriate design approaches and implementation strategies
• Collaborate with Grow teams, architects, and business partners to design and deliver solutions that meet functional and performance expectations
• Designs, prioritizes, codes, configures, unit tests, maintains, and documents software deliverables using agreed upon standards and tools.
• Participate in controlled production releases, including warranty support consisting of issue analysis and defect resolution
• Contribute to technical documentation and knowledge sharing to support long-term system maintainability
• Provides ongoing and appropriate mentorship for Software Engineers and Associate Software Engineers
• Adapt to varying levels of modernization work depending on the nature of the request, including APIs or service-based integrations
• Collaborates with team members to confirm understanding of business requirements, develop solutions with adequate testing, and transition software production environments

See all jobs on JobTailor

Staff Software Engineer – US SaaS

Staff Software Engineer – Semantic Data Team

Software Engineer, Test Automation

Full Stack Software Developer

Senior Software Engineer – Tech Modernization

Staff Software Engineer

Senior Software Engineer II – Self-Serve Productivity

Senior Engineering Technician – 2nd Shift

Senior Software Engineer, Ads

Senior Software Engineer II, Core Experience

Software Engineer – Gen AI

Staff Software Development Engineer, Web

Senior Software Engineer

Senior Software Engineer – Data Acquisition

AI Principal Engineer

Staff Software Engineer, Data – AI

Senior Software Engineer

Senior Manager, Software Engineering – Data Acquisition

Software Engineer, FHIR

Senior Software Engineer – Mainframe