Top Senior Software Engineer Jobs

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Develop, integrate, deploy, troubleshoot, and sustain enterprise software for the GATEKEEPER product and DoD clients. The role uses Java/Spring Boot, Python, relational and NoSQL databases, Docker, and CI/CD practices. Responsibilities include collaborating across engineering and QA teams, participating in code reviews, supporting installations, resolving technical issues, and maintaining architecture, deployment, process, and training documentation.

Develop open-source Web3 and Web2 technologies for the Canton Network, solving complex distributed systems and security challenges. Own major software components, contribute to cloud deployments and operations, collaborate across distributed engineering teams, mentor engineers, and improve systems and processes. The role requires strong polyglot programming skills, preferably in Scala or Haskell, plus experience with Kubernetes, Pulumi, Helm, and Grafana.

Own backend performance and scalability improvements for a mature Java-based Athlete Management System. Diagnose bottlenecks across APIs, databases, calculations, and background jobs; improve data access, asynchronous processing, observability, containerization, and reliability. Develop technical plans, drive changes through production, collaborate with the Data Platform team, review architecture, mentor engineers, and participate in on-call support.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Build secure, high-performance applications, support cloud infrastructure and CI/CD pipelines, troubleshoot production issues, and optimize system reliability. Collaborate with cross-functional teams, participate in Agile ceremonies, review code, mentor junior engineers, and contribute across the full stack as needed.

Lead architecture and development of Python-based hardware test frameworks, instrument drivers, test result databases, and UIs. Integrate frameworks with CI/CD and hardware-in-the-loop systems, build shared spacecraft-level tests, partner with subsystem teams for adoption, and mentor engineers to ensure code quality across hardware test software.

Own backend-heavy product and platform engineering from design through production. Build and scale distributed systems supporting large-scale mortgage transactions, design reliable infrastructure for regulated workflows, contribute to architecture and engineering standards, and collaborate with product, infrastructure, and platform teams. Use AI coding tools while maintaining rigorous human review and correctness.

Design, develop, and maintain custom ServiceNow applications, workflows, catalog items, and integrations. Build AI skills, autonomous agents, and agentic workflows using Now Assist. Govern platform changes, manage cross-platform impacts, oversee upgrades, and ensure vendor compliance. Partner with architects and stakeholders to translate requirements into Agile deliverables. Mentor developers and apply ITIL principles while supporting core ServiceNow modules.

Designs and develops complex front-end software products and enhancements using reusable components and modern frameworks. Builds scalable, high-performance web applications, integrates third-party APIs, participates in design and code reviews, and collaborates with engineers and designers. Provides ongoing maintenance, troubleshooting, customer support, and continuous-improvement recommendations in an Agile environment.

Lead full‑stack development of scalable, secure services and UI using Java, Python, and React. Build AI/agentic capabilities with Smart SDK, design data/search solutions (PostgreSQL, OpenSearch), drive cloud-native engineering on AWS with Terraform, improve SDLC via AI-assisted tooling, mentor engineers, and deliver operational reliability.

Lead an agile team to design, build, and operate low-latency, high-availability Python applications for Rates trading desks, owning architecture across data ingestion, calculation services, UI, and operational tooling. Partner with traders, drive technical decisions, improve CI/CD and observability, mentor engineers, and ensure production correctness, performance, and resiliency under tight timelines and high business impact.

Lead design and delivery of scalable Java microservices and cloud-native AWS solutions, build data pipelines (Databricks/Spark), drive CI/CD and automated testing, adopt AI-assisted engineering practices, mentor engineers, and collaborate with product and data teams to improve user experience and operational reliability.

Lead technical contributor designing and delivering high-throughput, low-latency Databricks/Spark data pipelines and Lakehouse architectures. Own cluster strategy, performance tuning, CI/CD and Terraform infrastructure, enforce data quality/governance/security, build reusable Python/Java libraries, and champion enterprise AI-assisted engineering practices.

Lead technical contributor on a risk technology team designing, building, and operating scalable, secure data solutions. Implement Snowflake data models, Databricks/Spark ETL pipelines, APIs on AWS, and CI/CD automation. Drive AI-assisted engineering adoption, mentor junior engineers, and ensure operational resiliency and secure software delivery.

Lead a cross-functional agile team to design, build, test, and operate scalable, secure full‑stack applications. Implement microservices (Java/Spring Boot or Python), cloud-native architectures, RESTful APIs, and high-volume data processing with SQL/NoSQL. Drive code quality, automation/CI-CD, vendor evaluations, and engineering communities of practice while improving operational stability and observability.

Lead and mentor a software engineering team to design, build, and operate secure, scalable cloud-native applications using Java and Python. Drive architecture reviews, CI/CD automation, observability, AI-assisted engineering practices, and data governance while ensuring operational stability and compliance.

Lead technical design, build, and maintain secure, scalable software; drive adoption of AI-assisted engineering, automation, CI/CD, and cloud-native practices; mentor teams, evaluate vendors and SaaS, and translate business strategy into delivery roadmaps.

Lead an agile engineering team to design, build, and maintain secure, scalable Java Spring Boot microservices. Deliver production-quality code, drive architecture and vendor evaluations, mentor developers, improve operational stability, and promote best practices for testing, CI/CD, security, and cloud-native deployments in the financial services domain.

Lead an agile payments engineering team building secure, scalable Java/Spring microservices. Be hands-on (50% coding), perform design, code reviews, and debug. Drive adoption of enterprise AI-assisted development practices, ensure CI/CD, resiliency, operational stability, mentor engineers, evaluate vendors, and manage stakeholders to meet compliance and business SLAs.

Lead an agile engineering team to design, develop, and operate secure, scalable applications. Provide technical guidance, write and review production code, drive AI-assisted engineering adoption, influence product design, and promote firmwide SDLC practices using cloud-native, microservices, and Big Data technologies.

Lead full‑stack development of cloud‑native, enterprise-grade applications using Java/Spring and React. Design, build, test, and operate microservices with Oracle and AWS, ensure security and operational stability, mentor teams, promote best practices, and drive technical decisions across the SDLC.

Lead technical design and deliver secure, scalable C#/.NET software for trading systems. Drive architecture, coding, code review, automation, resiliency, CI/CD, and adoption of AI-assisted engineering practices while mentoring teams and engaging vendors.

Lead an agile engineering team to design, build, and operate secure, scalable software. Provide technical direction, write and review production code, champion enterprise AI-assisted development practices, drive SDLC improvements, and manage cloud-native deployments and monitoring across AWS and data platforms.

Lead backend engineering for cloud-native, multi-cloud fintech products. Design scalable, reliable, and secure systems using domain modeling. Build testable, operable code, resolve production incidents, optimize performance and data access, and enable zero-downtime releases. Mentor teammates, drive technical direction, and continuously modernize technologies and patterns.

Lead backend engineer responsible for designing, building, and operating scalable, secure microservices for equities broker-dealer and prime finance platforms. Integrate AI/ML and GenAI (LLMs, RAG, embeddings, vector DBs) into production, drive architecture decisions, ensure SDLC and operational stability, mentor teams on responsible AI use, and collaborate with product and operations to deliver high-volume, low-latency financial systems.