Top Software Engineer Jobs

Lead engineering teams to build high-throughput, real-time streaming pipelines and microservices for fraud detection. Design and scale backend services, collaborate with product managers, mentor engineers, experiment with new technologies, and deliver cloud-native solutions using Java, Python, Go, containers, Kubernetes, and AWS.

Lead a team delivering cloud-native, full-stack and microservices solutions for risk and compliance. Drive architecture, mentor engineers, collaborate with product managers, and build scalable AWS-based systems using modern languages, containers, and databases to meet regulatory and AML requirements.

Lead a team and portfolio building cloud-based, distributed microservices and full-stack solutions to meet regulatory needs. Mentor engineers, collaborate with product managers, design robust AWS solutions, and occasionally code and evaluate implementations using modern languages, containers, orchestration, and databases.

Lead a team to design and deliver full-stack, cloud-based microservice solutions. Mentor engineers, drive technical direction, collaborate with product, and implement technologies like Java, JavaScript, Python, Go, Docker/Kubernetes, and AWS to meet regulatory and customer needs.

Lead design and delivery of enterprise backend services using Java, Spring Boot, Kafka and microservices. Serve as technical lead for distributed teams, set engineering standards, conduct architecture and code reviews, mentor engineers, drive event-driven solutions, troubleshoot production issues, and coordinate Agile delivery with stakeholders.

Lead and mentor a back-end engineering team building distributed microservices and cloud-native solutions. Design and deliver robust AWS-based systems, collaborate with product managers, evaluate and write code, and drive technical modernization using Go, Java, Python, containerization, databases, and orchestration tools.

Lead and mentor engineering teams to build distributed microservices and full‑stack cloud solutions for risk management. Collaborate with product managers, deliver scalable AI‑enhanced systems, and apply modern tooling (containers, databases, cloud).

Lead and hands-on-direct a large full-stack engineering organization to modernize applications, design cloud-native solutions (Azure/Kubernetes/OpenShift), deliver APIs and POCs, manage onshore/offshore teams, and own technical roadmaps and people management.

Microsoft Software Engineer role (IC3/IC4) with published U.S. base pay ranges. Job posting lists compensation bands and EEO/accommodation information; specific technical responsibilities and qualifications are not provided.

Lead and mentor a team building scalable, resilient cloud-native fraud and disputes systems. Design and implement distributed microservices and full-stack solutions, collaborate with product and business stakeholders, contribute code, adopt modern cloud, container, database, and AI-assisted development tools, and ensure regulatory-aligned delivery.

Lead a portfolio of technology projects and a team of developers to build distributed microservices and full-stack cloud solutions. Mentor engineers, collaborate with product managers, drive regulatory-focused technical solutions, and leverage Java, Go, JavaScript/TypeScript, Python, SQL, Docker, Kubernetes, and AWS tools.

Lead a team and portfolio of full-stack, cloud-native projects delivering distributed microservices to meet regulatory needs. Collaborate with product managers, mentor engineers, and build robust AWS-based solutions using containers, databases, and multiple programming languages.

Lead a team building distributed microservices and full-stack cloud solutions, collaborate with product managers, mentor engineers, and deliver enterprise platforms using modern languages, container orchestration, open source databases, and AWS tooling to meet regulatory and customer needs.

Lead a team building distributed microservices and full‑stack cloud solutions for regulatory needs. Mentor engineers, collaborate with product managers, and deliver scalable AWS-based systems using JavaScript/Java/TypeScript/Python/Go, RDBMS/NoSQL, Docker and Kubernetes.

Lead a portfolio of technology projects and a developer team to build distributed microservices and full-stack cloud solutions. Collaborate with product managers, mentor engineers, and deliver scalable, secure platforms using modern languages, databases, container orchestration, and AWS cloud services to meet regulatory and customer needs.

Lead a team and portfolio to design and deliver distributed microservices and full-stack cloud solutions that meet regulatory needs. Collaborate with product managers, mentor engineers, experiment with new technologies, and build scalable cloud-native systems using modern languages, containers, orchestration, and databases.

Build and maintain full-stack applications, microservices, APIs, and highly available AWS services using Node.js and event-driven architectures. Develop tested, documented code across front-end and back-end layers, deploy and scale applications, monitor systems with Datadog, and contribute to technical design and production support. Collaborate with stakeholders, reverse-engineer legacy applications, use AI-assisted development tools, and own ambiguous projects through completion while contributing to quality improvements.

Design, develop, test, and deploy Workday integrations. Create integration specifications and field mappings, evaluate technical impacts, maintain documentation, perform root cause analysis, collaborate with product and configuration teams, and ensure compliance and HR data confidentiality.

Lead technical design and delivery of large-scale, cloud-native marketing platforms. Build distributed Java/Spring Boot services, REST APIs and web frontends, drive platform modernization on AWS/Databricks, champion quality, observability, automation, and GenAI adoption, and lead cross-functional engineering teams.

Join an on-site Chicago team building high-performance C++ trading systems. Contribute to design, development, testing, profiling, and troubleshooting. Collaborate with traders and senior engineers, receive mentorship, and gain exposure to the full lifecycle of low-latency trading platform development.

Join an on-site Chicago team building high-performance C++ trading systems. Design, develop, test, profile, and troubleshoot low-latency applications while collaborating with traders and senior engineers. Receive mentorship, training on markets, and exposure to production lifecycle and performance tuning.

Design, implement, and maintain C++ components for a global electronic trading platform. Collaborate on system design, perform code reviews, troubleshoot production issues, and improve system stability while participating across the software development lifecycle.

Build and maintain Python backend services, REST APIs, WebSocket endpoints, cloud data-ingestion systems, and IoT device-management capabilities. Design PostgreSQL schemas and data strategies, improve telemetry reliability, develop automated tests, troubleshoot production systems, and support CI/CD, monitoring, and infrastructure. Collaborate with embedded, hardware, frontend, and product teams to deliver end-to-end features for provisioning, fleet management, firmware updates, and real-time device communications.

Develop, maintain, and enhance complex cloud-based Big Data software systems for mission-critical operations. Responsibilities span front-end and back-end development, data ingestion, analytics, indexing, database interfaces, testing, deployment, troubleshooting, and performance optimization. The role requires collaboration across the software lifecycle, integration of distributed cloud technologies, documentation, and mentorship of software developers. Systems use modern web technologies, microservices, Kubernetes, containers, and Linux environments.

Build the core infrastructure for an AI-native investment research and automated trading platform. Responsibilities include experiment environments, compute orchestration, storage, observability, deployment pipelines, sandboxed agent tooling, data ingestion and versioning, backtesting, production reliability, monitoring, failure recovery, and AI-native engineering practices. Collaborate closely with researchers and quants to move ideas from experiments into deployed strategies.