Top Hybrid Software Engineer Jobs

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.

Develop scalable backend applications, services, and APIs using Java and AWS. Support Chewy and SmartPak platform integration across e-commerce, catalog, fulfillment, and customer experiences. Contribute to architecture, modernization, distributed-system troubleshooting, code reviews, testing, DevOps practices, and technical decisions while collaborating across engineering, product, and business teams.

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.

Leads integration engineering for a large-scale SAP transformation, designing, building, testing, deploying, and supporting integrations across SAP and non-SAP platforms. Uses SAP Integration Suite, BTP, MuleSoft, ETL tools, APIs, orchestration, Kafka, and event-driven patterns. Establishes integration standards for governance, security, observability, error handling, and deployment. Partners with system integrators and architecture teams, conducts design and code reviews, resolves issues, supports DevOps and modernization, and mentors engineers while remaining hands-on.

Lead technical development in the corporate Salesforce org, design and implement scalable solutions, write and review Apex code, troubleshoot issues, reduce technical debt, mentor junior developers, collaborate with product owners and architects, and recommend dev-ops and coding best practices.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

The Senior Software Engineer for the OS Ecosystem team will develop foundational infrastructure for clinical and AI capabilities, focusing on data modeling and backend services to support Tempus' ecosystem.

Design, develop, maintain, and scale cloud-based backend services for a SaaS product. Deliver features, ensure performance/security/maintainability, mentor junior engineers, support releases and occasional off-hours maintenance, and drive engineering quality and automation.