Top Software Engineer Jobs

Develop and scale frontend-focused full-stack applications for underwriting teams. Responsibilities include building high-performance Next.js interfaces, contributing to Node.js and NestJS backend services and RESTful APIs, applying testing and OOP practices, architecting reliable systems, and collaborating with design, product, backend, and underwriting teams throughout development and deployment.

Design and implement control plane software spanning SDN, ground systems, satellites, and terminals. Build scalable services and APIs for provisioning, configuration, automation, telemetry, and network operations. Address dynamic network conditions and integrate with cloud and on-premises platforms. Collaborate across data plane, platform, embedded systems, product, and quality teams while contributing to architecture, implementation, testing, debugging, and system integration.

Design and own core browser platform features (DOM, HTML, web APIs) for Microsoft Edge. Drive API design, contribute to Chromium, collaborate with standards bodies, and deliver high-performance, compatible web platform implementations at scale.

Designs and delivers secure, scalable backend services for Globus’s cloud-based data management and automation platform. Responsibilities include architecting asynchronous APIs and data services, developing and testing Python software, deploying and operating highly available SaaS and PaaS systems, supporting users, reviewing code, mentoring engineers, and optimizing performance. The role also contributes to cross-service integration, documentation, project planning, recruitment, and on-call support.

Lead architecture and strategic direction for Pinterest's data warehouse, analytics tools, and data governance. Drive cross-functional initiatives to build scalable data platforms, AI-assisted pipeline tooling, and analytics capabilities. Mentor engineers, define policies and tooling, and deliver measurable adoption and business impact across the company.

Staff Software Engineer responsible for designing, developing, and leading high-volume, low-latency ad-serving runtime systems. The role focuses on scalability, performance, fault tolerance, distributed systems, bid optimization, self-healing architecture, and full software lifecycle ownership. Responsibilities include technical leadership, design reviews, code reviews, bug triage, root-cause analysis, cross-functional collaboration, and guiding projects involving multiple engineers.

Lead the technical vision, architecture, and implementation of the Data Ocean platform, building high-performance distributed storage capabilities across object, file, and block storage. Develop production C/C++ systems for caching, namespaces, tiering, replication, metadata, and data mobility. Drive architecture reviews, performance optimization, testing, and operational excellence while mentoring engineers and coordinating technical execution across global Engineering, Product, Architecture, cloud, and DevOps teams.

Participate in software delivery projects for Cisco customers, including coding, customer meetings, deliverable creation, lab building, DevOps, deployment, and troubleshooting. Develop full-stack solutions using Java, Python, Spring, web technologies, automation, testing, Git, and relational databases. Collaborate with managers, mentors, architects, delivery engineers, customers, and leadership while gaining experience with Cisco Secure Development Lifecycle processes and deployment and support models.

Develop and maintain full-stack web applications onsite for NASA’s Artemis Exploration Ground Systems Program. Responsibilities include designing SQL Server data models, developing .NET/C# APIs, building Angular and PrimeNG interfaces, testing, debugging, database administration, GitHub-based source control, documentation, user training, and stakeholder demonstrations. The role collaborates with systems engineers and management to translate requirements into technical solutions and support project milestones.

Develop highly reliable software and applications used across SpaceX. Responsibilities include designing systems, building prototypes, improving operational efficiency, owning software product development, solving user problems, and contributing to architecture, design, and code reviews. The role involves full-stack development, performance optimization, testing, deployment, monitoring, and distributed data processing using modern cloud-native technologies.

Leads and mentors software engineering teams building maintainable, reliable applications. Partners with cross-functional stakeholders to define requirements, technical roadmaps, project plans, and releases. Designs and documents systems, monitors production services, reports project status, and drives engineering best practices. Requires strong experience with C#, SQL, .NET, microservices, APIs, Azure, databases, Agile practices, and technical mentorship.

Design, develop, and maintain full-stack AI-powered applications and microservices using Python, Java, React, FastAPI, and Flask. Build REST APIs, integrate LLM and RAG pipelines, develop NLP capabilities, manage relational and NoSQL databases, and deploy containerized services on AWS. Collaborate with AI researchers, product managers, designers, and engineering teams to deliver production-ready document processing, search, data visualization, and human-AI workflow tools.

Build and maintain web applications for data lake and warehouse products using JavaScript, CSS, and HTML. Collaborate with designers, backend engineers, and data scientists; develop REST API integrations, write unit tests, perform QA, conduct code reviews, troubleshoot customer issues, and provide application support. The role requires hybrid work in San Antonio and eligibility for a U.S. government security clearance.

Develop and maintain Java software capabilities, enterprise APIs, RESTful services, microservices, and Kubernetes deployments. Lead troubleshooting, testing, deployment, and software lifecycle activities while mentoring engineers and guiding technical execution. The role requires Linux, configuration management, Agile development, and hybrid collaboration at a Columbia, Maryland office or customer site. Preferred experience includes cloud platforms, Kubernetes operators, CI/CD automation, distributed databases, and Go or Python.

Lead the design, development, deployment, and sustainment of business intelligence, data warehousing, advanced analytics, and AI/MLOps environments. Configure AWS resources, integrate Tableau and Power BI, develop dashboards and APIs, manage NiFi dataflows, and industrialize machine learning models using Docker, Kubernetes, and automated pipelines. Apply prompt engineering to optimize LLM performance and support SIGINT mission requirements.

Design, develop, test, and integrate distributed software for global ground station operations. Build APIs, dashboards, workflow automation, monitoring, and secure interfaces for telemetry, tracking, command, and payload data systems. Conduct post-mission analytics, integrate third-party stations and customer systems, and collaborate with software, networking, and RF/DSP engineering teams to deliver reliable mission-critical infrastructure.

Develops, tests, maintains, and enhances complex software systems for federal government customers. Responsibilities include requirements analysis, software design, algorithm development, database interaction, debugging, system integration, technical documentation, quality control, and collaboration with systems and hardware engineering teams. The role also supports Agile/Scrum delivery, process improvement, and small-team leadership while requiring an active TS/SCI clearance with an agency-appropriate polygraph.

Develop and sustain cloud-native software for federal government customers. Responsibilities include building Java or Python microservices, REST APIs, containerized applications, Kubernetes workloads, data pipelines, dashboards, IaC, CI/CD, testing, monitoring, and cloud architectures. The role collaborates with data architects, DevOps teams, and product managers while documenting technical and operational processes.

Design, develop, deploy, and maintain scalable web applications built from containerized services on Kubernetes. Build RESTful APIs and microservices using Python or Java, create data pipelines and interactive dashboards, implement automated testing and CI/CD, and monitor production systems. Collaborate with data scientists, engineers, and product managers while communicating technical designs to diverse stakeholders. The role requires extensive software engineering experience and an active TS/SCI clearance with an agency-appropriate polygraph.

Leads software engineering teams in developing, reviewing, testing, and releasing production-ready features. Plans work, delegates tasks, resolves technical challenges, monitors system health, and ensures code quality and QA standards. Mentors junior engineers, supports hiring and training, communicates technical decisions, identifies risks, and collaborates with product, management, and business stakeholders. Requires strong React and Node.js expertise, software development experience, and technical leadership capabilities.

Designs, develops, documents, tests, troubleshoots, and upgrades software applications throughout the project lifecycle. Collaborates with analysts, designers, vendors, clients, and infrastructure teams; researches development technologies; resolves defects; monitors performance; maintains documentation; supports deployments; and guides junior software development staff. The role requires extensive software engineering experience, database and server expertise, and proficiency with Microsoft development tools, web technologies, APIs, and programming languages.

Software engineering intern supporting the full application lifecycle, including requirements analysis, technical design, integration, implementation, deployment, debugging, and runtime operations. The role involves developing modern web applications and tools for analyzing Dark Web and encrypted-application data within an agile, remote team. Interns will use technologies such as Python, JavaScript, Go, Node.js, Angular, or React, while collaborating through GitHub and modern software development practices.

Develop and optimize payment platforms for performance, reliability, security, fraud prevention, and seamless recurring transactions. Build payment APIs and gateway integrations, improve processing latency and throughput, monitor platform health, troubleshoot incidents, and ensure compliance with payment industry standards. Collaborate with security, payment providers, and cross-functional teams while maintaining high-quality documentation and resilient payment workflows.

Owns end-to-end feature development for React applications, improves automated testing and CI/CD quality gates, leads code reviews, administers GitHub repositories, strengthens security and dependency management, builds reusable UI patterns, and mentors distributed engineering teams. The role also involves client-facing technical leadership, translating business needs into technical plans, and collaborating across projects and technologies.

Design, configure, and extend Duck Creek insurance platform capabilities supporting policy, billing, and claims workflows. Develop rules, transactional behaviors, forms, documents, APIs, and enterprise integrations using C#/.NET, SQL Server, XML/XSLT, and related technologies. Support testing, deployments, database operations, peer reviews, platform design, and mentoring while collaborating with product, business, QA, integration, and vendor teams.