Top Software Engineer Jobs

Leads a 25+ person engineering organization through two Directors, overseeing delivery quality, technical architecture, platform scalability, AI-enabled engineering practices, and new product development. Partners with Product and the Chief Scientist to align roadmaps, launch new manufacturing intelligence products, improve platform efficiency and reliability, develop engineering leaders, and represent engineering strategy and risks to executives.

Lead software engineering and developer advocacy initiatives across Barclays. Build production-grade applications, technical demonstrations, proof-of-concepts, workshops, and reference implementations while promoting cloud, automation, CI/CD, AI, and modern engineering practices. Engage engineering communities through hackathons, technical content, mentoring, and knowledge-sharing programs. Partner with platform owners and technology leaders to improve developer experience, drive adoption, influence technical strategy, and strengthen engineering quality, security, and productivity.

Develop immersive augmented and virtual reality experiences using Unity and Unreal Engine. Build custom software connecting AR/VR applications with advanced analytics and AI, collaborate with designers and data scientists on quantitative visualizations, and create technical documentation and design artifacts. The role requires solution planning, cross-functional collaboration, and development aligned with project objectives.

Designs and delivers Power BI features within Microsoft Fabric, applying AI-native development practices across the SDLC. Provides technical leadership, mentors engineers, guides stakeholders, confirms customer requirements, and supports large-scale production services through on-call incident monitoring. Requires strong software architecture, distributed systems, cloud platform, reliability, performance, security, and AI expertise.

Develop, design, and troubleshoot manufacturing software and applications used across Plastipak facilities. Support SCADA system development, collaborate across teams on technical challenges, and explore machine learning and AI technologies. The internship also includes a defined project, mentorship, professional development, networking, job shadowing, and leadership exposure.

Paid, full-time 10-week software development internship for a computer science, IT, engineering, or STEM student. Interns will develop features, improve core service reliability, identify bottlenecks, solve complex problems across the technology stack, and participate in mentoring and professional development. Candidates need Java or Python proficiency, strong communication and problem-solving skills, and a desire to learn new technologies. The role is hybrid in Falls Church, Virginia, and requires U.S. citizenship.

Supports the CTO with technology research, AWS and AI exploration, backend development, cloud-native prototypes, REST API experiments, system design, technical documentation, and architecture planning. The intern will build proof-of-concept solutions using C#, Python, .NET, AWS services, and machine learning technologies while evaluating vendors and emerging tools.

Leads hands-on development of secure Federal full-stack applications, including Java/.NET backend services, REST APIs, dashboards, data-access layers, AI-assisted workflows, and integrations of structured and unstructured data. Establishes engineering standards, testing, CI/CD, security controls, and scalable architectures for on-premises, hybrid, and controlled environments. Provides technical leadership, troubleshooting, documentation, and cross-functional collaboration while supporting delivery of the initiative’s MVP.

Lead architecture and development of GM’s in-vehicle AI assistant platform on Android Automotive OS. Build scalable APIs, SDKs, edge-cloud integrations, CI and automated validation infrastructure, and robust AIDL/IPC application contracts. Guide engineering execution, optimize latency and memory, integrate AI/ML evaluation pipelines, and collaborate with product and UX teams. The role requires extensive Android architecture experience, technical leadership, Kotlin and Java expertise, and familiarity with distributed client-server systems.

Build and operate secure, scalable AI compute platform services, including backend APIs, asynchronous workflows, Kubernetes controllers, and multi-tenant workload capabilities. The role focuses on distributed training and inference, platform reliability, observability, developer tooling, and infrastructure simplification. Responsibilities include collaborating across engineering teams, improving scalability and developer productivity, and providing technical leadership for production AI platform capabilities.

Design and build secure, scalable platform services for distributed AI training and inference. Develop backend APIs, Kubernetes controllers, orchestration systems, asynchronous workflows, multi-tenant access controls, and developer tools. Improve reliability, observability, scalability, and engineering productivity while partnering with infrastructure and AI teams. The role also provides technical leadership, mentoring, and cross-functional collaboration throughout platform development and production delivery.

Designs and develops highly available cloud services for AI inference workloads. Responsibilities include building Kubernetes controllers and platform capabilities for deployment, scheduling, scaling, recovery, upgrades, observability, and lifecycle management. The role leads production readiness reviews, resolves complex infrastructure issues, improves reliability and performance, drives architecture and design reviews, mentors engineers, and influences technical direction across teams.

Lead an agile engineering team to design, develop, test, and operate secure, scalable production software. Provide technical guidance, influence product and architecture decisions, deliver high-quality code, and promote firmwide engineering practices and modern cloud-native technologies.

Vice President of Engineering will lead engineering strategy, organization design, hiring, delivery, architecture, infrastructure, reliability, security, compliance, and AI initiatives. The role partners with executive leadership to scale MediCircle’s medication redistribution platform nationally, establish engineering operating standards, manage technical risk and investment, and build a high-performing engineering organization capable of supporting complex pharmacy operations, patient workflows, integrations, and regulatory requirements.

Designs, develops, and optimizes high-performance networking infrastructure for large-scale distributed AI training and inference in Azure. Responsibilities include building low-latency communication frameworks, benchmarking scalability, debugging complex networking issues, improving code performance and reliability, creating technical designs, participating in on-call operations, and guiding engineers. The role emphasizes observability, availability, scalability, and performance across diverse network architectures and accelerator technologies.

Summer 2027 internship opportunities for undergraduate students in software engineering, computer engineering, business operations, accounting, project coordination, AI, machine learning, image processing, embedded signal processing, and data science. Interns will support remote sensing systems for U.S. government national security and defense missions in agile, collaborative teams.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture, design, implementation, deployment, and integration of scalable data pipelines, machine learning models, and applications. Guide enterprise customers, manage technical delivery, train stakeholders, resolve implementation issues, and contribute reusable frameworks and product feedback. The role requires hands-on engineering, customer immersion, cross-functional collaboration, and travel to customers approximately 20% of the time.

Design, develop, optimize, and maintain autonomy software for autonomous aircraft, including embedded systems, perception, computer vision, machine learning, sensor data processing, and real-time edge computing. Build data collection, calibration, testing, deployment, and simulation systems while supporting flight-test integration and safety validation. Architect technical solutions, document designs, mentor engineers, and collaborate with sensing, controls, and flight software teams.

Designs, develops, tests, deploys, and supports robotic process automation workflows and components. Collaborates with business and technical stakeholders to translate requirements into solutions, integrate systems such as SAP, troubleshoot production issues, document processes, train users, and ensure quality, governance, security, and performance. The role also monitors automation impact, supports deployments and on-call operations, and contributes to cross-functional workflow automation initiatives.

Develop, test, deploy, and support RPA workflows and automation solutions across business teams. Translate stakeholder requirements into technical designs, integrate with systems such as SAP, troubleshoot production issues, document solutions, train users, and monitor automation quality and performance. The role also involves API and database integration, governance compliance, cross-functional project delivery, and participation in an on-call rotation.

Own product surfaces end to end, spanning backend systems, APIs, user experience, deployment, observability, evaluations, and feedback loops. Work directly with AI companies and users to design products using models with memory. Prototype agentic products and internal tools, train models for demonstrations, develop telemetry and evaluations, collaborate with model researchers, and help establish product engineering standards.

Manages multiple IT and data engineering teams, overseeing staffing, performance, priorities, delivery, metrics, and stakeholder communication. Leads the design, development, and delivery of Databricks-based data platform components using Raw, Refined, and Presentation medallion architecture layers. Applies AI and machine learning within data engineering, ensures operational standards, coaches employees, and balances immediate delivery needs with long-term engineering objectives.

The Chief Technology Officer leads application development, data and analytics, quality assurance, technology vendors, technical strategy, budgets, and digital transformation. The role partners with executives and the Head of AI to deliver technology initiatives, adopt emerging technologies, maintain governance and SOX compliance, establish performance metrics, and develop technology talent. The CTO oversees teams and ensures projects support business objectives, customer experience, operational efficiency, and long-term organizational growth.

Develops end-to-end core-system features, including AI-enabled functionality, testing, backend architecture, production monitoring, customer escalation management, code reviews, and collaboration with product managers to translate business requirements into scalable technical solutions.

Leads software engineering and data technology teams, coaching them on Lean, Agile, DevSecOps, DataOps, MLOps, automation, security, data quality, and observability. Drives engineering maturity, continuous improvement, team formation, staffing, innovation, and delivery outcomes. Manages at least five technology professionals, including performance, hiring, development, compensation, and corrective actions. Partners with governance, architecture, analytics, and business stakeholders to deliver secure, trusted enterprise data platforms and solutions.