Top Software Engineer Jobs

Develop scalable software across the full lifecycle, from requirements and system design through deployment and maintenance. Build reusable features, frameworks, and libraries using secure engineering practices. Collaborate with stakeholders and product owners in an Agile/Scrum environment, troubleshoot complex issues, improve performance and stability, maintain code quality through reviews and automated testing, and contribute to technical roadmaps and process improvements.

Develop and maintain backend-focused software systems supporting Disney’s content platforms. Responsibilities include resolving production bugs, performing root-cause analysis, supporting REST API and microservice integrations, participating in code reviews, monitoring system performance, and following CI/CD deployment processes. The role requires experience with scalable cloud systems, databases, distributed services, and backend development, with familiarity in frontend frameworks and media distribution operations preferred.

Designs, develops, debugs, and maintains secure, scalable software components as part of an agile team. Writes high-quality code (Scala/Java/Python), applies SDLC tooling and CI/CD, works with big-data and AWS services, and drives adoption of enterprise-authorized AI-assisted engineering practices while ensuring resiliency, security, and operational stability.

Design and implement high-performance datapath features for load balancing, firewall rules, and Layer 7 protocols. Build scalable networking and security systems using C or C++, data structures, algorithms, and Unix/Linux optimization. Own architectural projects from conception through large-scale deployment while applying advanced knowledge of DNS, HTTP, TCP/IP, and SSL/TLS. Use AI tools to improve engineering workflows and problem-solving.

Design and implement high-performance datapath features for load balancing, firewall rules, and Layer 7 protocols. Build scalable networking and security applications using C or C++, advanced data structures and algorithms, and Unix or Linux systems. Own complex architectural projects from concept through deployment while applying expertise in DNS, HTTP, TCP/IP, and SSL/TLS to enhance global network infrastructure.

Designs and develops full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, databases, AI workflows, and predictive models. Collaborates with data scientists, data engineers, product managers, and stakeholders to build data pipelines, automate testing, support applications through their lifecycle, and reduce technical debt. The role includes API development, LLM orchestration, agent workflows, search systems, context engineering, observability, and agile solution delivery.

Design and deliver developer tooling, frameworks, reusable templates, AI-assisted development infrastructure, authentication and identity platforms, and cloud-native services. Build and operate Java and AWS systems using Spring Boot and Kubernetes, establish engineering standards and guardrails, improve reliability and performance, and lead complex technical projects. Partner across teams to drive adoption, alignment, and measurable engineering productivity outcomes.

Own end-to-end frontend development for core crypto payment flows across web and mobile. Improve latency, availability, and SLOs; build user-facing features (contacts, real-time transaction status); identify and fix performance bottlenecks; partner with product/design/backend; mentor junior engineers to reduce customer friction at scale.

Designs, deploys, maintains, and troubleshoots HPE NonStop payment infrastructure, secure key managers, Etinet servers, and related subsystems. Uses AIOps and AI-assisted practices for incident triage, anomaly detection, automation, documentation, and reliability improvements. Partners with SRE, observability, and cybersecurity teams to govern AI-enabled monitoring, maintain auditability, execute upgrades, and produce operational knowledge such as runbooks and troubleshooting guides.

Design, develop, and evolve backend data platforms and services; improve scalability, performance, reliability, and operability; define APIs and system boundaries; troubleshoot production issues; mentor engineers; evaluate and adopt new technologies; collaborate with data engineers and product managers.

Lead an agile engineering team to design, build, and operate secure, scalable Java/React cloud-native applications on AWS. Drive adoption of AI-assisted development practices, evaluate vendor solutions, provide technical guidance, and ensure production quality, stability, and secure responsible AI usage across the SDLC.

Leads end-to-end delivery of software and data solutions, including Java-based microservices, full-stack applications, cloud-native AWS services, data architectures, AI/ML models, KPIs, and analytical reporting. Provides technical leadership across application, platform, and data teams; establishes roadmaps and governance; improves reliability through observability and SRE practices; and drives CI/CD automation, legacy modernization, and responsible AI-assisted engineering practices.

Design, develop, test, and maintain cloud-based commercial tax software using full-stack technologies. Responsibilities include building features, resolving technical issues, conducting code reviews, collaborating with cross-functional teams, deploying containerized applications to Azure, documenting solutions, estimating development work, and mentoring junior engineers. The role also involves evaluating new technologies and ensuring software meets performance, security, scalability, and quality standards.

Develop reliable full-stack software and applications supporting SpaceX operations, manufacturing, launch vehicles, and Starlink. Responsibilities include prototyping, system and product development, user-focused problem solving, architecture, design, code reviews, testing, deployment, monitoring, and performance optimization. The role requires collaboration across engineering teams and ownership of software solutions used in mission-critical environments.

Develop reliable full-stack software and internal applications used across SpaceX. Responsibilities include designing systems, building prototypes, improving operational workflows, investigating user needs, and participating in architecture, design, and code reviews. The role involves end-to-end software ownership, performance optimization, testing, deployment, monitoring, and collaboration with engineering teams. This is an onsite position that may require extended hours or weekends during launch periods.

Develop and own reliable full-stack software applications supporting SpaceX manufacturing, launch operations, Starlink systems, and internal business processes. Responsibilities include designing solutions, prototyping, improving application performance, collaborating on architecture and code reviews, and managing testing, deployment, monitoring, and product development. The role is onsite and may require extended hours and weekends.

Develop and support build tools and infrastructure for large-scale C++ and Python software lifecycles. Work with software developers, algorithm experts, collaborators, and customers to support software applications across Unix, Linux, macOS, and Windows environments. The role requires Linux CLI experience, CMake-based SDLC support, agile collaboration, and strong communication. It is full-time and on-site in Clifton Park, New York, and requires U.S. citizenship.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Build and maintain robust, well-tested backend libraries and developer-facing platform tooling. Partner with engineers and product to identify productivity bottlenecks, design abstractions, create documentation, and use AI-assisted tools and automation to improve developer experience, reliability, and deployment workflows.

Build and maintain full-stack applications using Angular, TypeScript, Java, Spring, RESTful services, and non-relational databases. Develop software designs, system interfaces, automated tests, and DevOps workflows. Support Agile delivery through technical project management, schedule estimation, stakeholder coordination, program reviews, and lifecycle software development. This is a full-time onsite role in Chantilly, Virginia requiring an active TS/SCI clearance with a full-scope polygraph.

Develop and support mainframe-based financial reporting systems involving premiums, claims, and reserve calculations. Translate actuarial business needs into software changes, collaborate with technical and business experts, guide less experienced engineers, conduct code and design reviews, and improve engineering standards and core systems. The role requires strong mathematical reasoning, problem-solving, communication, prioritization, and knowledge of mainframe technologies, change management, SQL, software architecture, and design patterns.

Design, develop, test, and optimize scalable React and web applications powering Walmart.com checkout. Build accessible, responsive interfaces; collaborate with product, UX, and engineering teams; contribute to architecture and performance improvements; troubleshoot production issues; follow engineering best practices; mentor junior engineers; and explore GenAI capabilities.

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

Design, develop, and maintain secure, production-grade data-intensive applications and platforms. Build reusable frameworks, leverage enterprise AI-assisted development tools responsibly, collaborate across teams, and ensure scalability, observability, and operational stability for a global KYC and risk data platform.