Top Software Engineer Jobs

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Undergraduate interns will develop and test software tools, backend systems, firmware features, automation, and engineering workflows for data center SSD products. Responsibilities include coding in Python or C/C++, Linux-based development, debugging software and firmware, analyzing engineering data, collaborating with cross-functional teams, and documenting technical work. Assignments may involve embedded software, device drivers, storage technologies, APIs, AI-assisted programming, or applied data analysis.

Build and maintain Leland’s platform and foundational infrastructure while collaborating with product, design, and engineering teams. Develop high-quality, performant code, propose product innovations, and ensure quality through testing and code reviews. Contribute to an inclusive, collaborative team culture and help shape products in a fast-paced, AI-native startup environment.

Build and ship customer-facing software through an end-to-end internship project. Write clean, performant code with mentorship and code reviews, collaborate with engineering, design, and product teams, and contribute to product and engineering decisions in a fast-moving startup environment.

Build Android SDKs and end-user applications that collect sensor data, provide real-time feedback, and support indoor item positioning. Integrate mobile software with RFID scanners, barcode readers, peripheral hardware, and third-party systems. Drive complex projects end to end, contribute across the product lifecycle, and collaborate autonomously with business stakeholders. Emphasize maintainable, performant mobile architecture, correctness, intuitive user experiences, and potentially backend development, testing, and enterprise SDK support.

Work directly with scientists to understand workflows, identify valuable use cases, drive customer pilots, configure and troubleshoot the AI platform, build lightweight solutions, train users, and convert customer feedback into reusable product capabilities. The role requires technical problem-solving, scientific fluency, strong customer engagement, teaching ability, independent execution, and comfort operating in an ambiguous startup environment.

Leads and grows a software engineering team developing frontend, backend, cloud, instrument, CLI, and API systems for multi-omic products. Sets technical direction, oversees hiring and delivery, drives architecture and design reviews, and contributes hands-on across the stack. Champions AI-assisted and agentic development practices while supporting regulated software workflows, including design controls, verification, validation, traceability, audits, and regulatory submissions.

Design and operate backend systems for high-volume, multi-stage data pipelines that de-identify sensitive enterprise data. Own versioned contracts, lineage, state transitions, retries, replay, reconciliation, verification, migrations, and safe recovery. Diagnose production behavior across services and storage, improve correctness and throughput, and build auditable release controls. Collaborate with ML, data, platform, security, product, and customer-facing teams while using AI tools with deterministic safeguards and human review.

Develop and support scalable ServiceNow platform solutions for managed services customers. Responsibilities include application development, workflow automation, ITOM and CMDB enhancements, Service Catalog and portal development, integrations, testing, deployments, troubleshooting, documentation, and mentoring. The role translates business requirements into maintainable technical designs while improving automation, platform reliability, operational efficiency, and customer outcomes.

Designs and develops enterprise software applications, integrations, database solutions, reports, and data-driven tools using .NET technologies, SQL, and related platforms. Supports development infrastructure, automated testing, business intelligence, and software quality initiatives. Collaborates with engineers to troubleshoot complex issues and deliver new features. The role includes rotations through related engineering departments as part of an employee development program.