Full-stack Engineer

• Build and own our GCP infrastructure, Kubernetes clusters, and Terraform IaC
• Own CI/CD across all services — end to end
• Build internal platforms and tooling that help product engineers ship with less friction
• Use AI to automate platform work that used to require a human
• Respond to incidents, own the postmortem, and close the loop so they don't repeat
• Partner with Engineering, IT, and Security to build the pipelines our products run on

Software Engineer – Platform & Infrastructure

• 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

• 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

• Build and maintain server-side features in our Next.js App Router codebase using TypeScript — route handlers, server components, server actions, streaming, ISR, and revalidation strategy.
• Design and harden integrations with the third-party APIs that power our content, market data, and subscription experiences. We care a lot about doing this well: timeouts, retries, circuit breakers, fallbacks, and graceful degradation when upstream services misbehave are first-class concerns, not afterthoughts.
• Own caching strategy across Redis and Cloudflare, balancing freshness against performance, cost, and crawler behavior.
• Deploy and operate services on AWS using Docker, with first-class instrumentation in DataDog so we catch issues before our readers and crawlers do.
• Write meaningful end-to-end coverage with Microsoft Playwright for the flows that matter most.
• Optimize the site for the way it's actually consumed by SEO crawlers: rendering strategy, structured data, sitemap generation, canonicalization, hreflang, robots directives, performance budgets, and crawl budget management.
• Partner with our front-end engineers on the seam between server and client, and collaborate with content, marketing, SEO, and platform teams across the company.
• Use AI-assisted development tools (Claude Code, Cursor) as a core part of your daily workflow — we have a company-wide commitment to use the latest tooling and workflows to make every person as impactful as possible.
• Integrate with our CMS for content management

Senior Software Engineer, Next.JS

• Architect and ship deployments that meet public sector compliance and security requirements, from FedRAMP to classified networks
• Build AI applications tailored to government workflows by developing deep understanding of how agencies actually operate
• Partner with research and safeguards teams to evaluate and improve Claude for government use cases
• Work directly with government customers and internal go-to-market teams to turn requirements into technical and product roadmaps
• Design scalable systems for deployment, user management, and administrative controls across constrained environments
• Create clarity and technical direction in a fast-moving environment with unique constraints

Staff Software Engineer, Public Sector

• Configure and deploy our software in customer environments, ensuring reliability and performance across complex workflows.
• Troubleshoot issues across backend APIs, cloud infrastructure, databases, and the frontend.
• Travel to customer sites and embed with operations teams, building trusted technical relationships.
• Prototype products and iterate quickly with live customer data and direct feedback.
• Act as the voice of the customer in product discussions, translating field insights into roadmap priorities, solutions, and integrations.
• Partner with Product & Engineering to turn successful prototypes into production code.
• Develop playbooks for repeatable integrations and maintain clear documentation and training resources.

Forward Deployed Product Engineer

• Lead technical architecture, solution design, and engineering vision for business-critical platforms and AI-enabled applications
• Serve as a senior technical leader across all stages of software development, including front-end development, back-end development, database integrations, APIs, user experience, hosting, and server management
• Translate ambiguous business problems into scalable, production-ready solutions by partnering with business leaders, solution owners, and enterprise technology teams
• Drive discovery and workflow mapping to identify automation opportunities, evaluate technical feasibility, and define success metrics
• Design and prototype cloud-native and AI-enabled solutions, including application architecture, system integrations, deployment patterns, and operational models
• Build and deploy production-grade applications, RESTful APIs, AI/ML pipelines, and distributed services using approved enterprise technology patterns
• Lead by example through hands-on engineering across platform, backend, frontend, and mobile technologies
• Mentor and coach a small team of high-performing engineers, fostering technical excellence, accountability, and continuous improvement
• Review code, pull requests, and architecture decisions, providing constructive and actionable feedback
• Evaluate problems strategically and tactically, using strong problem-solving skills, data structures, and algorithms to determine the best course of action
• Partner with senior business and functional leaders to define technical direction and support enterprise decision-making
• Collaborate with architecture, review, and governance teams, including ARB/TRB and EA/EAI stakeholders, to align solutions with enterprise standards
• Support implementation of Cloud 3.0 and modernization design patterns, including onboarding, development readiness, deployment, troubleshooting, and security alignment
• Ensure solutions comply with enterprise processes for architecture review, AI governance, cloud onboarding, and operational readiness
• Investigate and recommend new technologies, frameworks, tools, and engineering practices that improve speed, quality, scalability, and maintainability
• Optimize systems based on stakeholder and user feedback, and document workflows and implementation details for operational handoff and long-term support
• Contribute insights from delivery experiences back to internal product, platform, and architecture teams to improve reusable enterprise capabilities.

Lead Full Stack Engineer, AI Solutions

• 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

• Work with a distributed team on both the front and back end of our cloud-based platform
• Agile development: writing, reviewing, maintaining, testing, and deploying code
• Develop integrations with other applications and systems within our cloud ecosystem
• Participate in code reviews, mentor others, and evangelize best coding practices
• Design and implement architecture based on product and feature requirements
• Collaborate with cross-functional teams (including product managers, UX designers, and other engineers) to define, design, and deliver new features and enhancements
• Engage in the continuous integration/continuous deployment (CI/CD) pipeline development, maintenance, and optimization

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

• Deploy AI models and services on cloud platforms such as AWS, Google Cloud, or Azure
• Collaborate with cross-functional teams, including data scientists, researchers, and other engineers, to integrate LLMs and RAG into broader projects
• Extend agentic capabilities, including agent orchestration and tools calling, using MCP and A2A
• Communicate technical concepts and project progress to non-technical stakeholders and team members
• Conduct experiments to fine-tune parameters and optimize model performance
• Implement techniques to improve the efficiency and scalability of LLM and RAG systems
• Stay up-to-date on the most current developments in the generative-AI space
• Monitor and maintain deployed models to ensure they perform reliably and meet performance benchmarks
• Ensure code quality by following best practices in software development, including version control, testing, and continuous integration or continuous deployment (CI / CD)

AI/ML Software Engineer

• Build systems behind how Zillow customers find help, schedule tours, and connect with agents
• Turn ambiguous problems into shipped products
• Collaborate with product managers, designers, and data partners
• Build systems that real estate professionals rely on
• Handle user experience, services, APIs, and data models
• Ship with the right testing strategy and monitoring
• Follow work into production and improve over time
• Raise the bar through code reviews and mentoring

Senior AI-Native Product Engineer, Full Stack

• 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

• Lead full-stack architecture and implementation for a cloud-hosted federal platform that must achieve ATO and retire legacy systems within aggressive timelines
• Collaborate with cross-functional teams — UX designers, product managers, DevSecOps engineers to deliver production-quality code in a SAFe Agile environment
• Drive engineering excellence through automated testing, code reviews, and mentorship that meets stringent federal quality metrics (zero Sev 1/2 defects, <5 Sev 3 per component)
• Design and implement full-stack features for complex federal operational workflows
• Lead architectural decisions for platform services, APIs, and data models
• Build and maintain frontend interfaces that deliver on UX designs with high fidelity
• Develop backend services, integrations, and data pipelines supporting legacy system migration and retirement
• Establish and optimize AI-assisted development workflows for the engineering team, including configuring agentic AI tools for code generation, testing, and review
• Contribute to DevSecOps pipeline configuration, containerization, and infrastructure-as-code
• Participate in architecture design reviews and support ATO documentation with security-compliant code
• Mentor team members, conduct code reviews, and drive engineering best practices

Senior Full-Stack Software Engineer, Secret Required

• Help build and scale PAD, CTA’s flagship data infrastructure platform
• Perform meaningful engineering work on products enabling campaigns, nonprofits, advocacy groups, and movement partners to use data effectively
• Build and maintain data products and pipelines using industry-standard tools and languages
• Contribute to the culture and success of the organization
• Collaborate with a team on a wide-ranging codebase including AI toolkits
• Bring a security-first mindset to development
• Participate in deployment and operations in the cloud

Senior/Staff Software Engineer

• Provide specialized expertise in support of the Federal Aviation Agency (FAA)
• Review and develop software applications related to the operation and modernization of the National Airspace System (NAS)
• Assist AJR-G in developing software applications and cloud solutions for existing databases
• Support the development of a shared platform for program/system modular integration
• Provide technical support for completion of lifecycle system design and analysis

Software Developer

• Move fluidly between writing code, designing system architecture, coaching engineers, and troubleshooting live platform issues
• Build core platform services and supply chain optimization solutions
• Personally architect, implement, and maintain microservices
• Take end-to-end ownership of the systems
• Deliver scalable solutions, maintain platform stability, elevate engineering standards, and mentor engineers
• Leverage modern AI development tools to accelerate velocity, improve code quality, and ensure system reliability
• Design and build scalable platform services, APIs, and supply chain microservices in Java, Python, or TypeScript
• Architect and deploy services across AWS using containerization (Docker, Kubernetes)
• Design and optimize data layers using PostgreSQL, MongoDB, and Redis
• Define and implement RESTful APIs and event-driven architectures
• Establish and maintain coding, testing, and monitoring standards
• Lead code reviews and champion automated testing practices
• Contribute to the design and improvement of CI/CD pipelines
• Produce clear, comprehensive technical documentation
• Work closely with product management, data science, and customer-facing teams
• Mentor engineers on advanced technical concepts and career development
• Own the reliability and performance of the systems you build
• Serve as a technical escalation point for platform issues

Lead Software Development Engineer – CORE

• 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

• Provide development and operations & maintenance (O&M) support for a production Java application with a Postgres backend and a Tomcat/JBoss application server.
• Work in an AWS cloud environment, utilizing cutting-edge technologies.
• Collaborate with both government and contractor teams to support all aspects of application development.
• Gather, analyze, and develop enhancement specifications and requirements based on system owner input.
• Be involved throughout the entire project lifecycle, from development to production support.
• Design, develop, test, and manage application development projects in support of IT infrastructure.

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