Top Engineering Jobs

Lead a portfolio of cloud-based full-stack projects and manage developers building distributed microservices. Collaborate with product managers, mentor engineers, and occasionally write or review code. Drive solutions using modern languages, containers, and AWS services to meet regulatory and customer needs.

Lead technical delivery of secure, scalable software and automation across the SDLC. Design, develop, review, and debug production code; drive automation to remediate recurring issues; lead vendor evaluations and engineering communities; govern AI-assisted engineering practices and cloud-native solutions to improve resiliency, security, and delivery outcomes.

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Leads multiple software engineering teams within Global Finance Technology, providing technical direction, coaching, resource and budget oversight, and cross-functional alignment. Establishes governance and measurable practices for AI-assisted engineering, SDLC automation, security, testing, resiliency, and reuse. Evaluates technology solutions and vendors, mitigates delivery risks, partners with product teams and end users, and drives communities of practice. Requires extensive enterprise software development leadership across full-stack technologies, microservices, cloud-native applications, CI/CD, monitoring, and AI-assisted development.

Provide technical process and application support for digital engineering and PLM systems (Siemens Teamcenter/NX) across engineering and manufacturing. Troubleshoot, develop, test, and roll out DE/PLM tool capabilities, manage data migrations, capture requirements, improve data integrity, and support supplier/customer data delivery within multidisciplinary teams.

Owns requirements development, decomposition, allocation, verification, and validation for Boeing’s PTES program. Maintains the MBSE model, develops architecture and engineering artifacts, creates verification procedures and reports, supports stakeholder collaboration, manages technical risks and issues, and resolves systems engineering challenges. The role serves as the requirements management focal point and produces design documentation, specifications, data deliverables, and system analysis products.

Provide technical DE/PLM process and application support for engineering and manufacturing teams. Troubleshoot Teamcenter/NX issues, design and roll out DE tool capabilities, manage data migrations, capture cross-functional requirements, improve data integrity, deliver engineering data to suppliers/customers, and support Model-Based Engineering and manufacturing workflows within a multidisciplinary program team.

Develop Java-based Rhapsody modeling tools, middleware code generation, Jenkins CI/CD pipelines, automation scripts, and software engineering model integrations for SDV architectures. Perform testing, release management, user support, requirements analysis, workflow improvements, and technical solution development. Provide guidance to business teams and create tooling documentation and training materials.

Support vehicle system and component testing for complete vehicle development programs. Perform vehicle commissioning, troubleshoot electrical/mechanical/electro-mechanical issues, document results, maintain 5S and safety standards, mentor junior technicians, and collaborate with engineering, quality, and customers to validate vehicle performance and improve processes.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Lead and grow a senior SaaS engineering team; hire, mentor, and set engineering standards. Drive cross-functional delivery with product and design, ensure testing, observability, and multicloud deployments, and architect systems that integrate generative/agentic AI while cultivating an AI-first culture.

Leads and manages a software engineering team supporting mission-critical C4ISR space systems. Responsibilities include supervision, mentoring, career development, performance management, recruiting, technical leadership, architecture reviews, software design and sustainment oversight, bid and proposal support, and collaboration with functional managers and discipline leads. The role is performed onsite in Hudson or Merrimack, New Hampshire, and requires an active Top Secret clearance.

Leads a five-to-seven-person systems test engineering team supporting a U.S. Navy weapon system. Manages test policies, processes, deliverables, requirements verification, system and subsystem testing, compatibility assessments, technical presentations, and customer engagements. Oversees personnel development, performance management, hiring, and team execution while collaborating across organizational boundaries. Applies Model-Based Systems Engineering tools and supports meetings with Navy customers and test facilities, including local travel.

Apply systems engineering and MBSE methods to develop system models, architectures, requirements, interfaces, and digital engineering workflows. Support trade studies, integration, process automation, model governance, technical reviews, demonstrations, and stakeholder communications. Collaborate across multidisciplinary engineering teams, facilitate technical discussions, mentor junior engineers, and evaluate AI and automation opportunities. The role is primarily on-site three or more days per week and may involve travel between campuses or other locations.

Applies systems engineering and MBSE methods to complex engineering programs. Develops system models for requirements, functions, interfaces, behaviors, and architectures; supports trade studies, integration, verification, digital-thread development, and process automation. The role establishes modeling standards, integrates engineering data and tools, facilitates multidisciplinary technical discussions and reviews, supports training and demonstrations, and evaluates AI and automation opportunities. Requires collaboration across technical disciplines, analytical problem-solving, communication, and independent execution.

Provides senior technical leadership for systems engineering, MBSE, digital engineering, and enterprise ecosystem initiatives. Leads complex systems analysis, architecture, integration, verification, and lifecycle engineering across programs and organizations. Defines MBSE strategies, digital architectures, standards, governance, and reusable capabilities; advises leadership, mentors technical professionals, resolves cross-functional challenges, and evaluates emerging AI and automation technologies. The role is primarily on-site at least three days per week, with possible travel between campuses and other locations.

Provides senior technical leadership for systems engineering, MBSE, systems architecture, and digital engineering initiatives. Leads cross-disciplinary systems analysis, defines enterprise MBSE strategies, develops digital ecosystem architectures, and integrates engineering data, models, tools, and processes. Advises leadership, establishes standards and technical roadmaps, mentors engineers, resolves complex organizational challenges, and evaluates AI and automation opportunities. The role is primarily on-site and may involve travel between campuses or other locations.

Applies systems engineering and MBSE methods to develop system models, architectures, requirements, interfaces, and digital-thread integrations. Supports trade studies, system integration, process automation, model governance, technical reviews, training, and cross-disciplinary collaboration. The role also evaluates AI and automation opportunities in engineering workflows and mentors less-experienced engineers.

Provides senior technical leadership for systems engineering, MBSE, systems architecture, and digital engineering initiatives. Leads complex systems analysis, defines enterprise MBSE strategies, establishes technical direction for integrated engineering information, and guides digital ecosystem architectures. Advises senior leadership, develops standards and governance, evaluates AI and automation opportunities, mentors technical leaders, and resolves cross-functional challenges across engineering, program, IT, and business organizations.

Software engineering interns develop code, resolve critical problems, and improve system stability and resilience on defense-related projects. Interns collaborate with experienced engineers, contribute to real-world customer solutions, and gain exposure to frontend, backend, cloud, DevOps, database, image processing, machine learning, and GIS technologies through BAE Systems’ LEAP summer 2027 program.

Leads engineering execution for airborne HF and ARC-231 tactical radio development programs. Translates customer needs into engineering plans, integrates software, hardware, systems, and test disciplines, and manages technical milestones, cost, schedule, quality, risks, and verification. Serves as the primary technical customer interface, supports bids and growth initiatives, oversees design-to-manufacturing transition, optimizes resources, and develops multidisciplinary engineering talent.

Engineering interns will build, test, and ship production features for web and mobile products. They will develop AI-powered automation, write and debug code, analyze usage data with data analysts, iterate with senior engineering feedback, and learn new languages, frameworks, and AI-native development practices. The role is in person at the Union Square, NYC headquarters from June through August 2027.

Leads engineering execution across multiple teams, sets technical direction, drives 0-to-1 product initiatives, embeds AI tooling into development workflows, and develops future engineering leaders. Partners with product, design, and recruiting to deliver high-quality software, make architectural decisions, scale platform capabilities, and connect engineering outcomes to customer and business results. This is a hybrid role requiring commutability to the NYC headquarters and in-office attendance three to four days weekly.

Lead Compute, Data, and DevEx teams while owning infrastructure and data-platform roadmaps, reliability, cloud costs, vendor strategy, and developer self-service. Establish SLI/SLO practices, incident response, post-mortems, CI standards, infrastructure-as-code tooling, and AI-enabled production operations. Manage managers and technical leads, scale the organization, develop engineers, and ensure systems support significantly higher traffic while maintaining 99.95% uptime across AWS regions.

Contribute to engineering projects that improve the scalability, reliability, automation, security, observability, cost optimization, and developer experience of Mastercard’s enterprise Kubernetes platform. Gain hands-on experience with Kubernetes, AWS, Azure, GitOps, Helm, infrastructure-as-code, containerization, CI/CD, and Linux while collaborating with engineers supporting global payment systems.