Top Hybrid Software Engineer Jobs

The Senior Software Engineer will design and build scalable AI/ML backend systems, develop data pipelines, and collaborate with cross-functional teams to implement ML-driven features while ensuring system performance and documentation.

Design and scale highly available backend microservices processing global travel and expense transactions. Lead cross-functional technical initiatives, establish architecture and engineering standards, optimize APIs and event-driven systems, and ensure reliability through observability and production debugging. Mentor engineers, lead architecture reviews, and balance product delivery with long-term scalability and technical health.

Lead and scale software engineering teams building SaaS platforms. Set technical strategy, ensure best practices (architecture, CI/CD, security), drive delivery and KPIs, partner with Product and cross-functional leaders, and develop engineering talent while introducing AI/data capabilities to improve platform scalability, reliability, and business outcomes.

The role involves leading software engineering efforts, mentoring junior engineers, developing Kubernetes solutions, and improving CI/CD processes. Requires extensive experience in cloud technologies and programming.

Performance Engineer Interns conduct quantitative research on exchange and network technologies, design optimization strategies for electronic trading, develop AI agents, ETL pipelines, and Python algorithms, and reverse-engineer and stress-test low-latency systems. They collaborate with traders and hardware and software engineers to improve liquidity-taking, quoting, and ultra-low-latency trading strategies.

Develop and maintain a full-stack simulation platform for autonomous construction robotics. Responsibilities include software development, 3D rendering and manipulation, mapping integration, API and database design, code reviews, requirements collaboration, CI/CD improvement, onboarding, and agile teamwork. The role partners closely with robotics teams and supports simulation, cloud deployment, web automation, and modern frontend and backend technologies.

Architects and builds highly scalable distributed systems, data ingestion pipelines, and Data Lake platforms. Designs Kafka, Iceberg, Flink, and Spark solutions; develops reusable libraries and frameworks; optimizes JVM performance; troubleshoots production issues; and provides technical leadership for complex engineering initiatives. The role also requires cross-team collaboration, engineering best-practice enforcement, and evaluation of emerging technologies.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Build and own a browser-based React and three.js rendering layer for 3D mission data, including spacecraft, orbits, sensor volumes, telemetry, and common operating picture controls. Develop polished front-end interactions, optimize real-time rendering performance, manage 3D scenes, shaders, lighting, cameras, and level of detail, and rapidly prototype visual concepts. Collaborate with data and platform engineers while contributing to data visualization and standard front-end development.

Build and deploy production-grade AI and MLOps solutions within public sector customer environments. Develop Python-based workflows, integrations, interactive applications, and model deployment and monitoring systems. Troubleshoot cloud, Kubernetes, networking, compute, and platform issues while advising data science teams. Own customer engagements, lead technical discovery and solutioning, create reusable deployment materials, and communicate feedback to SRE, Support, and Product teams.