Top Software Engineer Jobs

Develop and deploy software for Class II and Class III urological medical devices across the full software development lifecycle. Define architecture and requirements, implement and test software, document releases, and provide post-market support. Improve development processes, tools, and workflows while collaborating with engineering and project management teams. The role emphasizes secure, high-performance software, cybersecurity best practices, quality, and compliance with regulated medical device standards.

Develop and modernize the open-source conda ecosystem, including conda, conda-build, and plugins. Responsibilities include designing and delivering features, improving performance and reliability, owning projects from requirements through release, collaborating with distributed internal teams and external maintainers, contributing through GitHub, and participating in Scrum ceremonies. The role also involves using AI-assisted tools while maintaining code quality and engaging the open-source community.

Develop and modernize client-facing front-end applications, backend-for-frontend APIs, service integrations, and AWS-based systems for digital health and insurance products. Responsibilities include React and TypeScript development, C#/.NET and SQL services, legacy modernization, DevOps, testing, code reviews, deployments, architecture improvements, and mentoring. The role collaborates across teams to deliver secure, scalable, high-quality software and support product and client needs.

Develop and sustain web-enabled logistics information systems for enterprise and operational users. Manage software configuration, controlled updates, documentation, and baseline maintenance. Coordinate with hosting organizations, stakeholders, and end users to maintain performance, resolve issues, and deliver enhancements. The position requires seven years of software engineering experience, including Microsoft .NET Framework development and Oracle database maintenance, and is contingent upon contract award.

Build and ship small end-to-end features across frontend and backend systems for research infrastructure. The role involves learning from experienced engineers, using AI coding tools, pair programming, collaborating with the team, and deploying production software. Candidates should have 0–3 years of experience, a strong computer science or related educational background, experience using AI coding assistants, and demonstrated work through GitHub repositories or side projects.

Build and maintain parsing infrastructure, SDKs, data models, and services for hardware design collaboration. Develop parsers for circuit-design formats, binary file-merging capabilities, test harnesses, developer tooling, and performance improvements. Collaborate with engineering, product, sales, and other stakeholders to define interfaces, requirements, timelines, and constraints while driving autonomous, cross-functional projects.

Designs, develops, and maintains secure full-stack web applications using React.js, .NET, REST APIs, microservices, and cloud-native Azure architectures. Responsibilities include database management, containerization, infrastructure as code, CI/CD pipeline implementation, application monitoring, troubleshooting, code reviews, and Agile collaboration. The role requires building scalable front-end and back-end solutions, optimizing cloud resources, and integrating third-party services.

Design, develop, integrate, test, and productize perception software for autonomous driving systems. Responsibilities include implementing robust and reusable software components, deploying deep neural network models to embedded real-time platforms, developing verification plans, debugging systems, maintaining documentation, and analyzing real or synthetic benchmark data. The role requires close collaboration with perception engineers and researchers throughout the software development lifecycle.

Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.

Designs and maintains scalable Java and Spring Boot backend services, REST APIs, microservices, web applications, and PostgreSQL data models. Deploys cloud-native applications on GCP, manages CI/CD, Docker, infrastructure automation, monitoring, and observability. The role includes code reviews, testing, Agile participation, cross-functional collaboration, and mentoring junior and mid-level engineers.

Build and operate scalable Twitch data platform capabilities, including data warehouses, pipelines, storage, transformation, and data movement tools. Improve reliability, flexibility, and scalability across high-volume distributed systems, collaborate with engineering peers, contribute to technical vision, and enhance workflows using AI coding tools.

Develop and operate scalable data platform capabilities, including data warehouses and pipelines processing more than 200 billion daily events. Improve reliability, flexibility, and scalability; collaborate on distributed systems architecture; contribute to peer reviews; and enhance engineering workflows with AI tooling. The role requires software engineering fundamentals in scalability, concurrency, API design, data modeling, and distributed systems.

Designs, develops, and maintains secure, scalable full-stack web applications using React.js, .NET, C#, REST APIs, microservices, and cloud-native architectures. Deploys solutions on Azure using containers, serverless technologies, infrastructure as code, and CI/CD pipelines. Manages relational and cloud databases, monitors production performance, and troubleshoots issues. Collaborates in Agile Scrum teams through code reviews, sprint planning, retrospectives, and cross-functional delivery.

Leads systems software prototyping and workload characterization for Azure hardware/software co-design. The role optimizes AI inference and LLM workloads, especially KV Cache placement, migration, and utilization across GPUs, CPUs, CXL memory, storage, and networks. Responsibilities include developing inference framework extensions, instrumentation, performance models, simulation frameworks, and memory-tiering proof-of-concepts while influencing long-term architecture and collaborating with hardware, software, workload, and industry partners.

Develop and maintain scalable CX orchestration platforms using AWS, Genesys Cloud, and Salesforce Service Cloud. Own feature design, implementation, deployment, reliability, troubleshooting, documentation, and code reviews. Collaborate with product, QA, design, and engineering teams; make data-driven technical decisions; provide basic mentorship; and independently lead smaller project components while communicating progress, risks, and blockers.

Build web software prototypes with Data Scientists to demonstrate ML and AI model potential. Develop data visualizations, custom interfaces, APIs, and interactive experiences that validate ideas, support user studies, inform implementation approaches, and enable strategic decisions. Guide Data Scientists in prototyping while balancing development speed with realism.

Build and ship features for a large-scale Android app using Kotlin and modern Android technologies. Responsibilities include writing tested code, collaborating with product and design teams, improving performance and stability, partnering on APIs and data flows, and participating in code reviews. The role is a full-time, long-term remote contract within the U.S.

Design, build, test, and maintain large-scale data-intensive applications and AI-driven data products within Lazard’s AI and Data Team. Collaborate with investment bankers and portfolio managers throughout the software development lifecycle, using cloud technologies, databases, DevOps practices, containerized workloads, and emerging AI capabilities such as LLMs, agentic workflows, autonomous systems, and MCP development.

Design and implement scalable backend services in Go or Java to process high-volume ingestion pipelines. Optimize throughput and latency, define APIs and data schemas, collaborate with infrastructure and data teams, mentor junior engineers, and lead distributed systems architecture to maintain resilient, high-availability production systems.

Develop and maintain production software across user interfaces, backend systems, APIs, and infrastructure. Collaborate with engineers, designers, analysts, and stakeholders in Agile teams to solve complex technical problems, gather requirements, shape technical strategy, and deliver scalable solutions. Apply modern development practices, automated testing, DevOps pipelines, and CI/CD tools while contributing throughout the software development lifecycle.

Design, develop, and maintain production software applications in an Agile environment. Build scalable APIs, backend systems, interfaces, and resilient infrastructure; collaborate with engineers, designers, analysts, stakeholders, and cross-functional teams. Translate requirements into technical solutions, solve complex problems, write maintainable code, and contribute to technical strategy and delivery. Candidates may work on internal tools or national security mission systems and must complete a skills assessment.

Designs, develops, tests, deploys, maintains, and troubleshoots scalable software solutions, APIs, and backend services. Partners with architects, product teams, and engineers throughout the software development lifecycle. Responsibilities include technical design, coding, documentation, application integration, release management, risk and compliance considerations, and production support. Banking or financial institution experience and familiarity with regulatory controls are preferred.

Leads backend software design and development, resolves complex technical problems, guides engineering colleagues, and reviews code, testing, and documentation. Designs solutions for complex business needs, manages application architecture and delivery, and applies modern development methodologies. Requires Java, Spring Boot, Oracle Database, application development and testing expertise, with cloud experience preferred. Banking, financial institution, regulatory, risk-control, and compliance knowledge are preferred.

Leads front-end software design and development, resolves complex technical issues, mentors colleagues, reviews code and documentation, and applies modern development practices. The role requires Angular, Node.js, and Java expertise, strong UX design skills, application architecture knowledge, testing and release management experience, and the ability to lead teams and support banking-related business initiatives.

Designs, develops, tests, deploys, maintains, and troubleshoots scalable Java backend applications, APIs, and services. The role covers technical architecture, application integration, documentation, production support, risk management, and compliance considerations. Candidates should have experience with Spring Boot, Oracle Database, SQL, cloud technologies, software development lifecycles, application testing, and banking or financial services environments.