Top Software Engineer Jobs

Provides hands-on technical leadership and architecture for Java-based enterprise business process applications. Designs reliable transaction processing, workflow, rules, data, security, and resiliency solutions; guides engineering practices; and partners with product, infrastructure, DevOps, and security teams. Leads responsible integration of AI and LLM capabilities, including RAG, inference, evaluation, monitoring, and security controls. Mentors developers and maintains architecture documentation without direct reports.

A 12-month graduate program with two rotations developing software solutions across big data, AI, SRE, DevOps, cloud, and security engineering. Responsibilities include writing specifications, coding, code reviews, bug fixes, test-driven development, requirements analysis, troubleshooting, data modeling, and collaboration with stakeholders. Participants receive mentorship, training, and experience with AWS and Azure. Applicants must complete a computer science-related bachelor’s degree between May and December 2026.

Leads programmatic advertising partner integrations using OpenRTB and develops scalable backend systems for ad performance optimization. Owns the full software development lifecycle, drives experimentation through A/B testing, collaborates with product, data science, and external partners, and maintains production quality. The role also mentors junior engineers and advances AI-enabled engineering workflows through tooling, enablement, validation, and change leadership.

Open application for future opportunities at a growing AI company, primarily across software development and sales. Potential technology roles include Clojure development, machine learning engineering, data engineering, DevOps, security engineering, and product design. Commercial opportunities include account executive and customer success positions. The company offers flexible work arrangements, professional growth, AI and deep learning exposure, competitive compensation, benefits, and six weeks of holiday.

Develops secure, scalable software for Azure AI Platform services across air-gapped, sovereign, and commercial clouds. Responsibilities include coding, architecture, testing, deployment automation, security hardening, monitoring, incident response, reliability improvements, and on-call support. The engineer collaborates with partner teams, applies AI-assisted development practices, contributes to design and implementation plans, and ensures compliance, privacy, performance, and operational requirements for mission-critical AI infrastructure.

Design, develop, test, document, troubleshoot, and debug complex software for semiconductor equipment components and devices. Define software specifications and test plans for simulators, test benches, and laboratory environments. Analyze requirements, implement bug fixes, communicate with internal and external customers, and contribute to machine learning and AI-driven software solutions.

Leads development of secure, scalable payment applications using Java, Spring Boot, microservices, AWS, Terraform, and CloudFormation. Designs, codes, tests, debugs, and reviews production software; improves resiliency, automation, and operational stability. Drives responsible adoption of AI-assisted engineering tools, evaluates technical solutions with vendors and internal teams, and mentors software engineers within an agile environment.

Leads the architecture and delivery of large-scale ETL/ELT pipelines, data lakes, distributed Spark workloads, and Java-based services. Designs data quality, governance, lineage, observability, security, and performance-tuning practices. Develops REST APIs and integration components, promotes AI-assisted engineering practices, and drives technical delivery across cross-functional teams. Requires deep Java, Python, big data, Spark, data lake, warehouse, and software engineering expertise, with preferred experience in orchestration, streaming, ACID table formats, production operations, and regulated environments.

Provides technical leadership for designing, building, and scaling distributed software systems supporting a virtual healthcare platform. Responsibilities include writing high-quality code, guiding architecture, developing AI-powered clinician tools and agents, mentoring engineers, and partnering with product and clinical leaders on technical strategy. Requires extensive software engineering experience, database and systems expertise, modern frontend framework experience, and proficiency in one or more programming languages.

Design and implement backend and systems-level software for defense and intelligence applications. Integrate machine learning and signal-processing algorithms into real-time systems, transition models into field-ready applications, collaborate with domain experts, and build extensible software solutions for complex customer requirements.

Develop and transition advanced OPIR data-processing algorithms for infrared sensing and space-based missile warning systems. Responsibilities include evaluating processing pipelines, troubleshooting anomalies, supporting technical documentation and transition plans, and collaborating with government, intelligence, research, and industry partners. The role requires expertise in EO/IR signal processing, infrared phenomenology, OPIR data formats, Python development, and AI/ML applications.

Develop and transition advanced OPIR data-processing algorithms for infrared sensing and space-based missile warning systems. Troubleshoot processing pipelines, diagnose sensor and software anomalies, analyze OPIR data, and support technical documentation and transition planning. Collaborate with NGA, Department of Defense, Intelligence Community, research organizations, and external agencies on next-generation sensing technologies.

Leads a global engineering organization of approximately 100 employees across application development, data engineering, platform engineering, AI, and technical operations. Defines engineering strategy, modernizes platforms, improves delivery, quality, security, reliability, and operational excellence, and drives responsible AI adoption. Builds leadership capacity, scalable processes, architecture discipline, and technical talent while partnering with product, data, security, operations, clients, and executives to connect technology investments with business outcomes.

Provides executive technology leadership across software engineering, enterprise architecture, cloud platforms, data, security, compliance, and innovation. Develops technology strategy and roadmaps, leads product engineering and delivery, establishes architecture and development standards, oversees modernization and resilience, evaluates AI and emerging technologies, manages budgets and vendors, and builds a high-performing technology organization supporting healthcare revenue cycle and related business lines.

Leads full-stack software engineering within JPMorgan Chase’s supply chain technology team. Responsibilities include designing, developing, testing, debugging, and maintaining secure, scalable production systems; advancing AI-assisted engineering practices; automating recurring issue remediation; ensuring application resiliency and security; and evaluating vendor and internal technology solutions. Requires strong software development, cloud-native, agile, financial-services technology, and responsible AI expertise.

Develops and supports resilient, secure, cloud-based software for Missile Defense System development, integration, and testing. Responsibilities include software library and architecture development, requirements management, hardware-in-the-loop and cloud testing, API and interface control management, artificial intelligence tooling, and technical engineering analysis. The role also supports containerization, DevSecOps, infrastructure as code, configuration management, and modernization of legacy applications within secure Department of Defense environments.

Leads and develops a software engineering team building Salesforce-based systems, custom services, integrations, and AI/LLM workflows for student placements. Responsibilities include hiring, coaching, architecture, code reviews, hands-on development, AI strategy and governance, platform decisions, Agile delivery, budgeting, and production support. Requires strong Java enterprise development, engineering management, application architecture, APIs, integrations, and technical leadership.

Teach Upper School technology and computer science courses, including programming, AP Computer Science, CAD/CAM, cybersecurity, fabrication, and artificial intelligence. Develop engaging project-based instruction, assess student learning, integrate technology across the curriculum, and collaborate with the Educational Technology Department. Communicate with students and families, advise students, participate in school committees and events, pursue professional development, and maintain a safe, inclusive classroom environment.

Leads strategy, development, modernization, and operations for global core accounting applications. Oversees architecture, cloud adoption, engineering delivery, platform stability, resilience, security, regulatory compliance, automation, and data and AI capabilities. Partners with product, business, risk, operations, and client-facing teams to deliver scalable technology and measurable business outcomes across multiple regions.

Develops and maintains AML product features for transaction monitoring, alert generation, case management, risk scoring, sanctions screening, and regulatory compliance. Responsibilities include data mapping, integrations, detection tuning, troubleshooting, QA, UAT, release management, documentation, and collaboration with compliance, risk, data science, and product teams. The role also supports machine learning applications, security, privacy, audit readiness, and mentoring within a flexible India-based work environment.

Build and scale backend platforms, orchestration systems, and user-facing capabilities powering Microsoft 365 Copilot. Collaborate with applied scientists and engineers to deliver scalable AI features, define architectures, create implementation plans, ensure robust testing, and improve engineering practices. Work spans enterprise-scale AI infrastructure, multimodal and agentic interactions, model capabilities, and production-ready intelligent systems.

Design, prototype, develop, document, test, and debug software solutions for semiconductor equipment components and devices. Troubleshoot software issues, communicate with internal customers to understand requirements, and contribute to innovative software solutions involving machine learning and AI. This full-time role begins in Summer 2027 and includes approximately 10% travel.

Leads enterprise full-stack software engineering for secure, scalable managed-account platforms. Owns application components across architecture, development, testing, deployment, observability, and production support. Designs distributed cloud-native systems using Java and modern frontend technologies, mentors engineers, improves CI/CD and test automation, and drives responsible adoption of AI-assisted development tools. Partners with cross-functional stakeholders to deliver high-impact initiatives in an agile environment.

Leads software engineering efforts within an agile infrastructure platform team. Develops, reviews, debugs, and governs secure production code using Java full-stack technologies, React, cloud platforms, containers, and relational databases. Drives adoption of AI-assisted engineering tools, establishes validation and security standards, coaches technical teams, promotes SDLC automation, and influences technology decisions. Balances hands-on development with technical leadership and contributes to an inclusive engineering culture.

Build distributed backend systems for real-time detection, including signal ingestion, data-intensive processing, scalable infrastructure, and production AI/ML integrations. The engineer will own system design and delivery, improve architecture and implementation patterns, and collaborate with technical leadership. The role requires independent execution, strong database and distributed-systems knowledge, and experience with startup environments.