Top Software Engineer Jobs

Own the end-to-end development of a healthcare technology platform, including data models, APIs, backend logic, payments, AI-assisted workflows, automation, and user-facing products. The engineer will make architecture decisions, ensure security, compliance, reliability, and production quality, and work directly with users to solve complex operational problems. Strong Python, NoSQL database, product engineering, and system design experience are required.

Join a small engineering team as a hands-on full stack developer. Accelerate frontend delivery, then take on backend services, infrastructure, and core capabilities. Own features from design through release and operational stability, collaborate with customer-facing engineers and founders, and promote effective AI-assisted development practices. The role requires strong backend-oriented full stack skills, product-launch experience, system design judgment, self-direction, and periodic travel to a California office.

Build and launch user-facing web and mobile features using React, React Native, and TypeScript. Own work from scoping through measurement, improve frontend architecture, contribute backend code, and run product experiments using analytics and SQL. Partner with product, data, and engineering teams to improve activation, engagement, and retention, while using AI-driven tools to automate workflows and surface insights.

Build and ship full-stack features for an AI platform, collaborating directly with customers to understand workflows and turn pain points into reliable products. Own delivery from specification through production, including data models, APIs, front-end development, testing, monitoring, and iteration. The 12-month in-person program also provides exposure to sales, leadership, startup operations, investors, and company building.

Build scalable software infrastructure for electrical, thermal, and electromagnetic simulations. Develop automated pipelines, distributed execution, parameter sweeps, solver integrations, quality checks, provenance tracking, and reproducible dataset workflows. Optimize simulation throughput, cost, and reliability while collaborating with machine learning and hardware teams to validate results and generate training data.

Own and lead backend products from architecture through production operation. Design high-traffic APIs and microservices, improve application and database performance, build real-time distributed data services, and enhance reliability, observability, automation, Kubernetes workloads, and cloud efficiency. Review code, establish engineering standards, coordinate dependencies, communicate tradeoffs, and drive ambiguous technical initiatives through rollout.

Own the design and delivery of customer-facing software across front-end and API layers. Set product direction, architect integrated applications, gather user feedback, iterate rapidly, and address infrastructure needs. Mentor teammates and establish engineering practices during company growth. The role requires strong software engineering experience, full-stack expertise, product judgment, adaptability, and willingness to work onsite five days per week.

Design, build, and operate highly scalable observability infrastructure for logging, metrics, tracing, and telemetry pipelines. Develop reliable services supporting GPU clusters, petabyte-scale telemetry, and high-cardinality workloads. Improve performance, security, and reliability through software development and automation, participate in on-call support, collaborate with engineering teams, and shape observability platform strategy.

Build and ship customer-facing web and mobile product features across the full stack, from concept through production. Work closely with users, iterate quickly while maintaining code quality, contribute to engineering standards, and help recruit future engineers. The role requires startup experience, cloud infrastructure exposure, strong customer focus, and willingness to work onsite in New York five days per week.

Build and own full-stack projects from concept through launch, including backend services, web interfaces, APIs, simulation environments, internal tools, and infrastructure. Collaborate with research, product, design, and external technical stakeholders. Write maintainable code, participate in reviews and design discussions, and improve system scalability, reliability, and data evaluation workflows.

Design and build backend services and distributed systems for a customer-facing no-code product. Improve query performance across large data warehouses, develop analytics and experimentation capabilities, explore real-time computation and data syncing, and apply generative AI to user workflows. The role also involves writing product specifications, collaborating directly with users, making long-term architecture decisions, and ensuring services remain robust, maintainable, and scalable.

Build and deliver full-stack features for a customer-facing software platform, including interfaces, backend services, dashboards, analytics, integrations, APIs, and deployment workflows. Own projects from architecture through production, support user onboarding and troubleshooting, and collaborate with founders and cross-functional teams to improve the product. The role requires strong React and TypeScript skills, Python or Node.js, AWS, and distributed-systems expertise.

Develop and maintain backend and frontend software for Blue Origin’s Lunar Apps team. Build features using Java, JavaScript, React, and AWS services; integrate data systems; participate in code reviews; communicate technical designs; and diagnose production issues. The role requires collaboration across complex aerospace systems and a focus on reliable tools for storing, analyzing, and automating engineering data in support of safe human spaceflight.

Architect and develop Packet Forwarding Features for PTX Series Routers, engage with customers, work with test teams, and sustain existing features.

Build developer tools and research infrastructure that accelerate engineering and AI research. Responsibilities include improving coding agents for development, testing, and code review; creating better development environments, faster tests, and reliable deployment workflows; and building a platform for launching experiments, comparing results, and guiding future research.

Own support and operations for Arc’s laboratory information management system. Responsibilities include managing requests, making schema changes, maintaining data validation checks, supporting experiment templates and command-line tools, training scientists, documenting workflows, and automating recurring tasks. The role also includes improving permissions, building tools to make laboratory metadata queryable, debugging systems, and eventually owning part of the lab platform from design through support.

Design, develop, optimize, debug, and maintain high-performance C/C++ data plane software for Cisco Hypershield Smart Switches on Linux. Build DPU-based networking and packet-processing capabilities, resolve complex defects, improve scalability and reliability, lead technical design and architecture reviews, mentor engineers, and collaborate across software, hardware, and security teams.

Design, develop, and maintain backend software, distributed infrastructure, and data pipelines at scale. Own the software lifecycle from design through production support, including testing, monitoring, incident management, and performance improvements. Collaborate with Product, Data Science, and Operations to translate ambiguous requirements into reliable system designs. Contribute to code reviews, engineering best practices, technical debt reduction, and team development.

Leads design, development, testing, troubleshooting, and production delivery of scalable Java-based financial technology solutions. Builds resilient microservices using Java, Spring Boot, Kafka, React, AWS, and Kubernetes; manages unit, SIT, and UAT testing; supports clearing and settlement functions; and promotes secure, responsible AI-assisted engineering practices, automation, code quality, and operational stability.

Leads software engineering initiatives within an agile team, providing technical direction and delivering secure, scalable production code. Establishes governance for AI-assisted development, code review, testing, troubleshooting, and SDLC automation. Shapes product design, technical operations, engineering standards, and reusable frameworks while serving as a subject-matter expert and coaching senior engineers on responsible AI usage, security, resiliency, and validation practices.

Own the end-to-end development of a secure SMS Adapter connecting retail and grocery store systems, beginning with BRdata, to Ottimate’s AP platform. Responsibilities include sync architecture, retries, conflict handling, local credential security, monitoring, testing, packaging, updates, installation, and deployment on Windows machines. The engineer will work directly with pilot customers to troubleshoot network, permissions, and data-access issues while evolving data models and integrations for additional store systems.

Designs, develops, tests, troubleshoots, and implements complex Java software capabilities. Builds enterprise APIs, RESTful services, and microservices while using modern frameworks, configuration management, Linux, and Agile practices. Integrates AI coding agents for feature development, refactoring, testing, and code review across complex repositories. Collaborates with engineering teams in a hybrid Columbia, Maryland or Fort Meade environment and maintains awareness of emerging technologies.

Leads design, implementation, deployment, and operation of software and infrastructure for Azure AI services in air-gapped and sovereign cloud environments. Works across codebases, networking, identity, and infrastructure; builds automation, deployment tooling, observability, and release validation; troubleshoots complex production issues; participates in on-call rotations; mentors engineers; and coordinates cross-team technical delivery for secure government workloads.

Design and build scalable, secure, highly available distributed services and developer tools for Microsoft's API Management and AI Gateway platform. Responsibilities include system architecture, coding, deployment, reliability engineering, incident response, technical strategy, platform development, and cross-team collaboration. The role focuses on AI application workloads, cloud services, automation, and production-grade software operating at global scale.

Set technical direction for Hike Medical’s platform spanning clinical software, AI agents, and manufacturing. Design core architecture connecting systems, lead complex initiatives involving integrations and healthcare data infrastructure, establish reliability, security, and compliance standards, write production code, mentor engineers, and collaborate with product and design. The role requires deep backend, distributed systems, and data modeling expertise in a fast-paced, fully in-person environment.