Top Engineering Jobs

Own the architecture, administration, and optimization of core enterprise platforms including Okta, Jira, Confluence, Google Workspace, and Slack. Lead SaaS adoption, AI enablement, lifecycle automation, audits, security improvements, documentation, troubleshooting, and support across 30+ applications. Serve as a technical expert, provide white-glove stakeholder support, and mentor junior systems engineers in a hybrid workforce environment.

Leads global engineering teams responsible for technology strategy, modernization, resiliency, and operational excellence across mission-critical investment operations and portfolio services platforms. Partners with Product, Operations, Risk, Accounting, Trading, and Engineering leaders to deliver scalable systems supporting significant assets. Drives cloud-native architecture, distributed systems, automation, AI-enabled capabilities, platform reliability, organizational development, succession planning, and strategic transformation.

Build and scale Braze’s SMS and RCS channels and supporting Chat messaging services. Deliver full-stack features from concept through deployment, own key technical areas, solve open-ended distributed-systems problems, and maintain platform reliability as traffic grows. Collaborate across teams, communicate effectively, and contribute to continuous learning and agile development.

Leads the Landing Pages engineering team and product, overseeing architecture, scalable web experiences, APIs, integrations, reporting, and product growth. Partners with product and design to prioritize features, validate usage, and increase adoption. Recruits, coaches, and retains engineers; establishes team vision, goals, and processes; guides major technical decisions; and contributes code where strategically valuable.

Build and scale Braze’s SMS and RCS messaging channels, including composition, sending, responses, analytics, click tracking, and link shortening. Ship full-stack features, lead initiatives from concept through delivery, own key technical areas, solve open-ended problems, and maintain platform reliability as traffic grows. Collaborate across teams, communicate effectively, and contribute to continuous learning and agile development.

Develop and maintain an AI and operations platform that converts organizational knowledge into reusable automation, Infrastructure-as-Code patterns, and standardized workflows. Build operational dashboards for platform health, workflow execution, automation adoption, and KPIs across critical infrastructure. Support self-service automation, modernization, resiliency, governance, and continuous improvement across compute, storage, mainframe, and HP environments.

Design, develop, test, deploy, and maintain secure full-stack applications for Mastercard’s Enterprise Credit Risk ecosystem. Build Java and Spring backend services, modern frontend interfaces, REST APIs, microservices, and event-driven integrations. Collaborate with product, risk, architecture, and data teams; troubleshoot complex issues; improve performance, reliability, observability, and security; contribute to cloud-native delivery and CI/CD; mentor engineers; and participate in Agile planning and technical design.

Lead a small, remote product engineering team while remaining hands-on in Ruby on Rails and React development. Partner with Product and Design to shape roadmaps, build and ship features quickly, develop team members, maintain high engineering and product quality standards, communicate effectively, and learn the trucking industry through customer engagement.

Develops and maintains scalable software applications, automates deployment processes, collaborates with product and engineering teams, writes unit and integration tests, debugs applications, maintains documentation, and provides technical support for deployed systems.

Oversee fixtures, equipment evaluations, hand tools, and time studies supporting current and future assembly manufacturing programs. Manage the ergonomics program and assist with plant health and safety initiatives in an automotive seating manufacturing environment.

Supports the base software group during a full-time co-op by assisting with embedded software design, development, testing, and troubleshooting for automotive electronic control systems and powertrain or chassis components. The role provides exposure to C/C++ ECU coding, MIL-SIL testing, sensors, actuators, microcontrollers, CAN communication, requirements traceability, compilers, debuggers, and automotive quality and safety standards.

Supports automotive engineering systems by developing ADAS feature and algorithm building blocks, integrating Simulink models into MATLAB and CarMaker test environments, creating requirements-based test cases, debugging and documenting issues, and performing bench and vehicle systems testing. The role requires analytical, organizational, communication, teamwork, self-motivation, and continuous-improvement skills, along with proficiency in Microsoft Office and pursuit of an engineering degree.

Design, build, and evolve the C++ stream processing execution engine powering MongoDB Atlas Stream Processing. Develop core components, shape architecture and engineering practices, optimize performance, maintain distributed and concurrent systems, mentor engineers, and own complex projects from problem identification through delivery.

Build and optimize MongoDB’s SQL interface, including query engines, SQL-to-MQL translation, database connectors, and BI integrations. Develop backend systems that improve performance, scalability, reliability, and usability for large datasets and complex queries. Collaborate with product managers and customer experience teams, contribute to roadmap initiatives, resolve bugs, and lead major technical projects.

Integrate and test advanced RF hardware and software systems in laboratory, software-in-the-loop, and field environments. Develop hardware test sets, test software, plans, and procedures; execute testing against system requirements; document results and metrics; support technical reviews and briefings. Collaborate with development and systems engineering teams to integrate verification artifacts into Digital Engineering and MBSE workflows.

Lead development of advanced signal processing and machine learning algorithms for radar and RF sensing/electronic warfare. Design and implement models and simulations, lead small teams and projects, support proposals and business development, and collaborate to deploy prototype RF systems. Requires deep technical expertise in signal processing, ML, and systems prototyping with strong communication skills.

Lead development of advanced signal processing and ML algorithms for radar and RF sensing/EW systems, build models and simulations, lead small teams and proposals, and transition capabilities into prototype systems.

Build and operate CoreWeave’s multi-cloud internal infrastructure across GCP, Azure, and AWS. Manage cloud foundations, IAM, networking, Terraform infrastructure as code, monitoring, logging, CI/CD, backups, disaster recovery, and production reliability. Troubleshoot complex infrastructure and application issues, support cloud migrations and acquisitions, implement secure architecture patterns, and contribute to incident response and root-cause analysis. Mentor junior engineers and communicate technical decisions across teams.