Top Senior Software Engineer Jobs

Leads development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Owns the full software lifecycle from design and coding through deployment, monitoring, and maintenance. Applies cloud-native architecture to build resilient systems, conducts design reviews, mentors engineers, collaborates with stakeholders, defines technical requirements and metrics, and drives continuous engineering improvements.

Leads development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Owns the software lifecycle from design and coding through deployment, monitoring, and maintenance. Applies cloud-native architecture, conducts design reviews, builds AI-driven applications, mentors engineers, influences technical decisions, and collaborates with stakeholders to deliver resilient systems and improve developer productivity.

Leads full-lifecycle development of scalable, secure software solutions for Walmart’s e-commerce advertising platform. Responsibilities include designing, coding, testing, deploying, and maintaining services, APIs, and AI/ML components; collaborating with stakeholders; conducting code reviews; monitoring performance; supporting defect management; mentoring peers; and driving continuous engineering improvement through cloud-native and DevOps practices.

Leads platform engineering across multiple teams by architecting scalable cloud-native infrastructure, reusable tooling, distributed systems, and AI/ML-enabled applications. Drives the software development lifecycle, reliability, real-time processing, CI/CD, testing, monitoring, and incident response. Provides technical leadership and mentorship, establishes architectural standards, collaborates with stakeholders on requirements and metrics, and advances continuous improvement and engineering excellence.

Leads design, development, and deployment of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Owns the full software lifecycle, applies cloud-native architecture, conducts system design reviews, builds AI-driven applications, mentors engineers, and collaborates with stakeholders to deliver resilient, data-driven solutions for global transaction and checkout systems.

Develops and enhances complex software applications across the full software development lifecycle. Responsibilities include coding, testing, debugging, architecture, DevOps, automation, cloud-native development, system integration, documentation, and technical leadership. The role mentors engineers, leads code reviews and technical initiatives, and evaluates AI-assisted development, RAG, agentic workflows, and secure AI solutions. Collaboration with product, architecture, systems, and testing teams is required to improve reliability, reduce technical debt, and support business outcomes.

Leads design, development, implementation, modernization, and support of enterprise workflow and decision-management solutions using IBM BAW/BPM and ODM. Designs workflow components, integrations, and reusable frameworks; performs coding, testing, troubleshooting, performance optimization, and root cause analysis. Provides technical leadership through architecture and code reviews, requirements gathering, estimation, mentoring, standards development, and collaboration across Agile/Scrum teams. Supports deployments across development, QA, UAT, and production, including periodic on-call support.

Designs, develops, modifies, tests, installs, and supports software applications and operating systems. Manages complex third-party application configurations, resolves technical issues, supports customer and budget requirements, and may own application strategy, design, operations, and technical leadership. Provides guidance to less experienced engineers and collaborates with IT, vendors, consultants, subcontractors, customers, and management.

Leads full-stack development, architecture, modernization, security, cloud deployment, and troubleshooting for enterprise applications. Develops C#/.NET services, REST APIs, reusable components, and React or Angular interfaces; supports microservices, containers, CI/CD, and cloud platforms. Provides technical leadership, mentoring, code reviews, secure coding guidance, stakeholder communication, and delivery support in an Agile environment.

Designs, develops, tests, documents, and maintains scalable software and bioinformatics pipelines. Builds data models, ETL processes, APIs, microservices, databases, dashboards, and workflow integrations supporting genomic analysis such as assembly, mapping, variant calling, and annotation. Collaborates with analysts, scientists, clinical reviewers, laboratory staff, and developers to translate requirements into production-ready solutions. Optimizes queries and performance, applies CI/CD and testing practices, and ensures maintainable, well-documented software.

Develops and supports advanced court applications, integrations, and software systems. Responsibilities include requirements analysis, system design, coding with Microsoft technologies, AI-assisted development, unit testing, troubleshooting, SQL queries and stored procedures, documentation, deployments, and quality assurance. Provides technical mentoring to other engineers and assists with server, database, security administration, and vendor software maintenance. Occasional after-hours and weekend support is required.

Design, develop, test, deploy, maintain, and troubleshoot C#/.NET software applications, including WinForms kiosk solutions, web services, APIs, database integrations, and multithreaded systems. Write SQL, support Kafka and API integrations, manage source control, participate across the SDLC, document technical solutions, and collaborate with engineering teams in an onsite USPS R&D environment.

Build and scale AI tooling for autonomy data workflows, including multimodal visualization, data triage interfaces, backend APIs, real-time pipelines, database schemas, indexes, and query strategies. Partner with autonomy, maintenance, service, and operations teams to improve troubleshooting, development workflows, and fleet health across a high-reliability autonomous logistics system.

Design, build, deploy, and operate AI-enabled automation solutions using Power Platform, Copilot tools, APIs, connectors, and webhooks. The role owns the full engineering lifecycle, including prompt engineering, testing, documentation, monitoring, support, reporting, and governance. It identifies enterprise automation opportunities and partners directly with executives and business teams to drive adoption and operational value.

Designs and builds large-scale backend services for an enterprise software platform, owning systems from architecture through production reliability. Responsibilities include planning highly scalable and responsive multi-service platforms, influencing architecture across teams, communicating technical tradeoffs, and developing backend components for AI-driven automation. Requires hands-on production backend engineering experience, senior or staff-level expertise, and experience with LLMs, AI, machine learning systems, or agentic workflows.

Design, develop, test, deploy, and maintain secure web applications, APIs, integrations, workflows, and data-driven solutions for USCENTCOM. Translate mission requirements into scalable technical solutions, build React applications, support data integration, troubleshoot systems, and participate in code reviews, release management, and production support. The role requires collaboration across multidisciplinary teams and onsite work at MacDill Air Force Base.

Design, build, deploy, and operate business-critical full-stack applications using C#, .NET, Angular, Azure, APIs, and databases. Own product capabilities end to end, apply AI-agent-assisted development practices, solve complex production issues, make architectural decisions, and improve engineering effectiveness through reusable solutions, automation, mentoring, design reviews, and code reviews.

Design and build scalable frontend features and reusable UI components using React and TypeScript. Collaborate with PMs, designers, and backend engineers on architecture, state management, API integration, performance, accessibility, and testing. Drive best practices for CI/CD, code quality, documentation, planning, and user experience.

Develop and own software solutions using PHP and/or Python with AI agents, agentic workflows, and coding harnesses. Evaluate, validate, debug, and improve AI-generated code while maintaining strong design and engineering standards. The role requires independent technical decision-making, accountability, and potentially mentoring or technical leadership. Cybersecurity experience is beneficial but not required.

Develop and operate scalable backend services for electromagnetic simulation platforms. Responsibilities include API unification, simulation data management, scheduler and task-pipeline integration, hybrid cloud and on-premise HPC solutions, high-performance cluster optimization, and scalable web APIs. The role requires production experience with backend engineering, cloud platforms, distributed systems, and end-to-end service ownership. This is an on-site senior position in Madison, Wisconsin.

Build Python applications, RESTful APIs, and microservices integrating AI and LLM capabilities. Develop CI/CD pipelines and deploy containerized systems with Docker and Kubernetes across AWS, Azure, or GCP. Ensure reliability through Pytest, code reviews, post-mortems, and on-call rotations. Collaborate with design, product, and cross-functional teams to deliver scalable AI-driven solutions.

Develop and customize responsive web applications for a mission-critical Navy intelligence production and dissemination system. Responsibilities include front-end engineering, UI/UX branding, workflow and systems troubleshooting, integration support, stakeholder communication, data analytics, and technical documentation. The role requires collaboration with developers, government stakeholders, and senior officials while supporting enterprise modernization and maritime intelligence dissemination.

Develop software tools for data management, machine learning, artificial intelligence, and autonomous weapons systems testing. Build firmware and drivers for sensor data collection, write unit tests, and deliver solutions meeting customer requirements. The role requires collaboration within an agile development environment, rapid learning, and work with multiple programming languages, containerization, and version control technologies.

Leads architecture and technical direction for cloud-based SIGINT microservices supporting an Intelligence Community mission. Responsibilities include mentoring engineers, defining roadmaps, developing Java/Spring Boot and Angular applications, managing databases and containerized environments, and owning GitLab CI/CD pipelines. The role also oversees testing, deployment, security, observability, customer communications, and scheduled on-call support in an Agile environment.

Develops, tests, documents, maintains, and enhances software solutions using Appian and related technologies. Integrates Appian with external systems and services, resolves technical problems, remediates security vulnerabilities, improves performance, and participates in planning and user-story analysis. The role follows software development processes, documents standards, and mentors engineers while helping prioritize work for a development team.