Top Engineering Jobs

Develop scalable customer-facing features and internal developer-experience tools for Chewy’s e-commerce platform. Responsibilities include system architecture, automation, observability, CI/CD, monitoring, testing, code reviews, agile collaboration, mentoring junior engineers, and production troubleshooting through on-call rotations.

Provides hands-on engineering support for production operations, initially in Pick/Pack, ensuring safety, quality, delivery, and labor targets. Owns standard work, labor standards, visual controls, process flow, ergonomics, and material presentation. Leads continuous improvement and 6S initiatives, reduces defects and rework through root-cause analysis and error prevention, and collaborates with Production, QA, Maintenance, Supply Chain, EHSS, and Facilities. Cross-trains across production areas and supports both daily execution and longer-term improvements.

Provide technical leadership for manufacturing controls systems, including designing electrical controls, programming and optimizing Allen-Bradley PLCs, troubleshooting equipment, leading capital projects, supporting installations and startups, implementing lean improvements, and enhancing equipment reliability and safety. The role also manages vendors and resources, supports maintenance teams, and ensures compliance with OSHA safety requirements.

Leads the design, development, testing, deployment, and support of sophisticated trading software. Integrates real-time market data, ensures high performance and reliability for high-frequency trading, develops comprehensive test plans, conducts code reviews, debugs complex issues, mentors engineers, supports live systems, and drives continuous improvement, documentation, and disaster recovery planning.

Maintains network and hosting infrastructure through performance monitoring, troubleshooting, incident response, protocol analysis, configuration, deployment, and security implementation. Documents issues, coordinates with vendors and technical teams, supports backup and disaster recovery planning, contributes to infrastructure projects, and develops automation scripts. Requires at least two years of relevant experience, with technical IT support experience preferred. Travel may be required up to 25%.

Maintains network and hosting infrastructure by monitoring performance, troubleshooting routers, switches, servers, and communication circuits, managing incidents, analyzing protocols, deploying hardware and software, and supporting backup and disaster recovery. Collaborates with vendors and internal teams, documents issues, co-leads infrastructure projects, and develops automation scripts to improve operational efficiency.

Lead the architecture and evolution of AI-enabled, cloud-native software platforms. Evaluate emerging AI, machine learning, cloud, and architecture technologies; define scalable reference architectures; guide data, model integration, monitoring, security, governance, and responsible AI practices; communicate technical strategies; review implementations; and mentor engineering and architecture teams on modern development and AI-assisted engineering.

Develop and maintain consumer-facing and back-office applications by translating business and technical requirements into tested, deployed software. Responsibilities include analysis, design, development, testing, installation, maintenance, debugging, troubleshooting, and collaboration with customers and developers. The co-op will gain hands-on experience with web, mobile, database, DevOps, containerization, and CI/CD technologies while contributing to impactful projects.

Participate in a software engineering co-op focused on Master Data Management for retail product, vendor, and location domains. Learn MDM implementation, data quality, AI applications, Agile methodologies, and Product Owner practices within a Scrum team. Apply programming, database, SQL, documentation, troubleshooting, analytical, and software development lifecycle skills while delivering project work and an AI-focused MDM or data quality project.

Participates in a six-month software development co-op supporting loyalty, marketing, and advertising technology. Helps build a next-generation loyalty platform using Azure, Databricks, and Spring Boot microservices. Contributes to near-real-time offer delivery, customer behavior analytics, targeted offers, coupons, and communications. Works collaboratively on impactful projects, develops technical skills, receives mentorship, and presents project work to company leaders.

Own the architecture and technical direction of Metropolis Recognition Platform, including edge-to-cloud pipelines, identity resolution, real-time decisioning, privacy and consent models, observability, and progressive delivery. Lead cross-functional alignment across engineering, computer vision, data, security, platform teams, and partners. Establish RFCs, SLOs, testing standards, operational practices, and architectural best practices while mentoring engineers and managing high-scale distributed systems.

Own the architecture and technical direction of Metropolis Recognition Platform, spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Design scalable streaming pipelines, rules systems, privacy and consent models, observability, testing, and progressive delivery. Lead RFCs, cross-functional alignment, architectural reviews, mentorship, and production quality across application, computer vision, data, security, platform, and partner teams.

Own the architecture and technical direction of a high-volume recognition platform spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Lead streaming pipeline design, privacy and consent models, observability, reliability, testing, progressive delivery, RFCs, cross-functional alignment, and mentorship. Build systems that combine deterministic rules with probabilistic computer vision signals under physical-world deployment constraints.

Design, build, test, and scale Gusto’s payments infrastructure and platform. Make architectural decisions focused on fault tolerance, scalability, and modularity; modernize Ruby/Rails and TypeScript/React systems; collaborate across engineering, product, design, data science, and operations; deliver software supporting millions of businesses; and mentor fellow engineers.

Leads a software engineering organization responsible for delivery, quality, team growth, and technical execution. Manages engineers and QA professionals, partners with Product and Design on roadmaps, guides architecture, and promotes reliable, scalable cloud-native systems. Responsibilities include people leadership, hiring, coaching, delivery planning, risk management, Agile practices, observability, automated testing, and operational excellence across SaaS platforms and distributed systems.

Designs, develops, configures, and architects ServiceNow solutions across ITSM, ITOM, scoped applications, workflows, integrations, and custom development. Supports administration, upgrades, patching, MID Servers, performance tuning, security compliance, and production troubleshooting. Provides technical oversight through code reviews, documentation, Agile delivery, stakeholder collaboration, and solution recommendations. Contributes to federal proposals, demonstrations, reusable assets, and ServiceNow practice growth.

Execute functional, regression, integration, automated, manual, and UAT testing for ServiceNow solutions in a secure federal environment. Design and maintain ATF test suites, validate workflows, integrations, configurations, access controls, and releases, track and verify defects, document test evidence, and coordinate with analysts, developers, product owners, and stakeholders on acceptance criteria and release readiness.

Leads the data infrastructure platform team responsible for production services supporting batch, streaming, analytics, and machine learning workloads. Oversees people leadership, platform strategy, reliability, security, scalability, cost efficiency, incident response, roadmap execution, and cross-functional collaboration. Builds self-service developer experiences, standardized CI/CD, observability, infrastructure automation, and service ownership practices across Airflow, Flink, Spark, Kafka, Snowflake, Iceberg, AWS, and ML platforms.