Top Engineering Jobs

Leads multiple software engineering teams focused on product acceleration, platform services, data capabilities, and developer enablement. Defines roadmaps, KPIs, architecture, and delivery strategies; manages managers and senior engineers; improves engineering processes; mitigates technical risks; drives cross-functional alignment; and promotes innovation, agile practices, coaching, and scalable engineering excellence.

Designs and maintains scalable distributed infrastructure across on-premise and public cloud environments. Evaluates emerging technologies and open-source tools, supports incident response and on-call operations, establishes platform engineering standards, and leads cross-functional initiatives from requirements through adoption. The role enables engineering and data science teams to operate research, simulation, and trading workloads efficiently and reliably.

Develop and optimize low-latency quantitative software for research, feature construction, alpha generation, and trading. Partner with quantitative researchers to prototype and implement components in Rust, C++, and Python, analyze real-time and simulated trading data, and research improvements to models, feature pipelines, and strategies. Build deep expertise in research systems, quantitative domains, and financial markets while delivering high-quality, high-performance software.

Build and productionize quantitative software for systematic macro research and trading. Responsibilities include prototyping research implementations, designing architectures, analyzing model impacts, evolving research systems, and partnering with quantitative researchers, product managers, engineering leaders, and business stakeholders. The role requires developing expertise across multiple research domains and delivering high-quality software products for macro instruments and markets.

Build scalable software and infrastructure for quantitative investment and trading systems. Responsibilities may include distributed storage, cloud environments, mission-critical reliability, model testing and deployment, low-latency trade execution, large-scale data ingestion, and internal productivity tools. Candidates should have a technical or quantitative degree, strong programming skills, large-scale systems experience, analytical ability, and passion for quality software.

Develop and maintain software, analysis tools, and trading-platform capabilities that help quantitative researchers explore and implement trading strategies. Partner with researchers and traders to analyze data and performance, support new markets and asset classes, and improve productivity, risk reduction, and trading operations. The role requires strong software engineering fundamentals and programming experience in Python, Java, C, or C++.

Design, simulate, and test FPGA-based digital logic; develop reusable RTL components, verification environments, tests, and debugging tools. Analyze waveforms, support synthesis and timing workflows, integrate hardware-software interfaces, and collaborate across engineering and quantitative teams. Interns complete a mentored 10-week project and present their findings.

Entry-level software engineers build scalable infrastructure, cloud environments, trading systems, data-ingestion platforms, deployment tools, and productivity applications. Responsibilities vary by assigned engineering team and include developing reliable, high-performance systems supporting quantitative strategies and trade execution. Candidates should have a technical or quantitative degree, strong programming abilities, large-scale systems experience, analytical skills, and enthusiasm for building quality software.

Software engineering interns complete a 10-week project with mentorship, building scalable infrastructure, cloud and storage systems, trading platforms, data ingestion pipelines, model deployment environments, and productivity tools. Responsibilities emphasize reliability, high performance, low latency, experimentation, and collaboration across engineering and corporate teams. Interns are matched with a specific team before starting and present their completed project at the program’s conclusion.

Build and optimize high-performance platforms for simulated and live trading across financial markets and asset classes. Responsibilities include implementing trading and measurement applications, analyzing system performance, reviewing code, extending platforms, and supporting traders with portfolio orders. The role requires systems-level programming, market structure knowledge, and collaboration with quantitative modeling teams.

Leads and scales multiple software engineering teams building DigitalOcean’s distributed compute control plane and orchestration services. Owns multi-quarter technical roadmaps, architectural standards, operational rigor, telemetry, SLOs, resource allocation, and cross-functional delivery. Guides Go microservices development, reduces technical debt, improves platform reliability and scalability, and fosters inclusive, high-performing engineering cultures.

Leads a 70–100+ person DevOps and SRE organization supporting 24x7 reliability across enterprise healthcare financial technology platforms. Owns DevOps/SRE strategy, CI/CD standards, cloud infrastructure, observability, incident management, disaster recovery, security remediation, compliance, FinOps, and AIOps automation. Establishes SLOs, SLIs, and error budgets while driving operational savings, AI adoption, unified services, and high-performing engineering teams.

Leads a software engineering team responsible for Tulip’s no-code application authoring, runtime, governance, backend services, and agentic AI integrations. The role owns delivery, technical direction, architecture, operational health, testing, deployment, incident response, and technical debt reduction. Responsibilities include hiring, mentoring, developing engineers, establishing engineering standards, promoting AI-first development, and collaborating with product, design, infrastructure, operations, QA, and customer teams.

Develop Java-based microservices and React interfaces for OCC’s clearing and settlement systems. Build high-throughput, real-time messaging solutions with Kafka; automate testing, containerization, and cloud deployments using CI/CD, Docker, Kubernetes, and related DevOps tools. Optimize performance, troubleshoot systems, contribute to architecture and user stories, and ensure quality, security, audit, and regulatory standards.

Manage a software engineering team building the Ovation Risk Platform. Lead architecture, design, development, performance management, and cross-functional delivery. Design fault-tolerant Kafka and Flink event-streaming systems, integrate AI and machine learning, optimize PostgreSQL databases, and provide technical product ownership. Apply expertise in options exchange operations, trade lifecycles, and clearing workflows while developing target-state architectures and complex enterprise solutions.

Own lab infrastructure operations, including system bring-up, equipment deployment, platform validation, configuration, maintenance, automation, and troubleshooting. Support server, GPU, FPGA, AI, memory, and environmental test platforms while enabling workload characterization, trace analysis, performance testing, and customer activities. Develop Python or shell automation, manage assets and calibration, and resolve hardware, firmware, software, networking, power, and thermal issues across global engineering teams.

Designs, develops, integrates, tests, and troubleshoots electrical systems for semiconductor manufacturing and test equipment. Responsibilities include power distribution, circuit analysis, component selection, schematics, wiring diagrams, bills of materials, design validation, risk assessments, engineering changes, and system integration. The role also applies AI-assisted and generative AI tools to engineering documentation, technical analysis, troubleshooting, and process improvement.

Leads GitLab’s Database Excellence organization, setting strategy for PostgreSQL and other application datastores. Owns database reliability, capacity, availability, sustainability, infrastructure costs, and platform standardization. Manages three Engineering Managers, develops technical leaders, oversees hiring and organization design, establishes objectives and KPIs, manages budgets, partners cross-functionally on platform investments, and serves as an escalation point for database incidents and operational processes.

Lead the POS Payments Experience engineering team, delivering reliable Android and web-based payment products. Drive planning, cross-team execution, technical direction, architecture, quality, monitoring, and production issue resolution. Partner with product and UX leaders, hire and develop engineers, and champion AI-assisted development practices.

Leads seat product development and core engineering integration for vehicle programs. Designs, analyzes, packages, validates, and improves seat subsystems while managing CAD, DFMEA, supplier collaboration, cost, timing, quality, and customer requirements. Coordinates cross-functional product development teams, applies DFSS and benchmarking, supports virtual and physical validation, reduces component variants, and develops reusable seating strategies.

Leads vehicle design quality and craftsmanship integration across interior and exterior components from concept through production release. Partners with Design, Engineering, Manufacturing, Human Factors, and Program teams to assess surface quality, parting lines, grain exceptions, math integration, manufacturability, and customer expectations. Uses NX and TC Vis Math to identify issues, develop recovery plans, support reviews and physical builds, benchmark craftsmanship, and drive continuous improvement. Applies DFSS to balance design intent, cost, mass, timing, assembly, dimensional variation, and manufacturing requirements.

Leads the strategy, architecture, engineering, and modernization of NBCUniversal’s global digital workplace platforms. Responsibilities span Microsoft 365, endpoint management, identity and security, unified communications, enterprise AI, Copilot, Power Platform, automation, and SRE practices. The role establishes technical standards, governance, reliability objectives, and AI adoption strategies while mentoring engineers and influencing enterprise architecture, cybersecurity, operations, and business stakeholders.

Lead a highly technical backend engineering team building scalable SaaS systems and AI-powered accounting automation. Responsibilities include mentoring senior engineers and tech leads, resolving complex technical issues, guiding architecture and system design, reviewing code, operating distributed production systems, and driving AI-assisted software development using tools such as Cursor and Claude Code.

Leads application and software engineering teams supporting Oracle Fusion Cloud and core Finance SaaS applications. Oversees finance transformations, integrations, automation, architecture, reliability, quarterly Fusion upgrades, and company-wide initiatives. Partners with Finance and Engineering stakeholders, drives metrics and OKRs, maintains SOX compliance, leads code reviews and complex problem resolution, and advances AI/ML and continuous improvement across critical financial systems.

Leads a multidisciplinary physical infrastructure engineering team responsible for data center standards, specifications, technical decisions, reliability, compliance, vendor relationships, and root-cause remediation. Oversees liquid cooling, power distribution, controls, facility due diligence, audits, construction support, and infrastructure engineering escalations across a global data center fleet. Develops technical talent, manages outsourced engineering resources, and supports scalable expansion of AI/GPU infrastructure.