Top Senior Software Engineer Jobs

Design, develop, and lead implementation of APIs, backend services, and front-end interfaces for satellite and ground systems. Own full lifecycle in an Agile DevSecOps environment, focusing on automation, testing, security, performance, code reviews, and mentoring teammates.

Design, develop, test, and maintain non-embedded software for the Tomahawk program. Translate requirements into software designs, implement features, troubleshoot issues, and document R&D. Ensure compliance with government and safety standards and support system integrations.

Design, develop, and support scalable, cloud-native backend services and RESTful APIs on AWS using Java and Spring Boot. Drive architecture for microservices, optimize relational and NoSQL data models (PostgreSQL, MySQL, DynamoDB), implement CI/CD and observability, troubleshoot production issues, and mentor engineers.

The Staff/Sr. Staff Software Engineer will build the GTM AI Brain from scratch, overseeing technical architecture and integrating various systems to enhance revenue operations.

The Staff Backend Engineer will lead technical direction across backend systems, write production code, improve scalability, and mentor engineers.

Design, build, and maintain blockchain and payments infrastructure; develop scalable microservices and secure RESTful APIs to transfer value across blockchain and banking protocols; integrate with banks and fintech; own system design, testing, deployment, and troubleshooting; ensure reliability, code quality, and strong test coverage while collaborating with product and engineering teams.

As a Senior Software Engineer in Cluster Orchestration, you'll lead multiple services, drive improvements in performance and reliability, and mentor junior engineers.

As a Staff Engineer, you'll lead the orchestration platform strategy, mentor engineers, and ensure reliable workloads across GPU clusters, directly impacting AI innovation.

Lead the design, development, and maintenance of enterprise applications using distributed technologies, oversee the software development lifecycle, and collaborate with various teams to deliver solutions that enhance customer experience.

Lead backend engineering for Mastercard's Global File Transfer platform: architect and build secure, highly observable microservices using Java/Spring Boot and Oracle; implement testing, code reviews, and secure coding; optimize performance and operability; troubleshoot incidents and perform root-cause analysis; mentor engineers and drive adoption of AI-assisted development tools.

The Senior Software Engineer will design, build, and operate software for real-time payment applications, ensuring code quality and system improvements while mentoring junior team members.

Lead and deliver cloud-based, full-stack solutions for a global payments network. Manage a portfolio and team, design distributed microservices, mentor engineers, collaborate with product, and use cloud, container, database, and multi-language technologies to meet regulatory and business needs.

Lead architecture and technical strategy for an internal platform that provides operational visibility into high-volume fund movements. Drive AI-first tooling, build fault-tolerant search and remediation systems, align cross-functionally, and elevate engineering quality through mentorship, design reviews, and process improvements.

Lead architecture and multi-year technical strategy for financial data pipelines and reporting. Design and deliver backend services in Go, ensure accuracy, timeliness, and auditability of financial data, and partner with Finance/Accounting/Tax to translate regulatory requirements into scalable systems. Mentor senior engineers and set architectural standards across Financial Engineering.

Lead a team to develop user interfaces for mission-critical solutions. Responsibilities include code contributions, guidance, task assignments, and maintaining CI/CD pipelines.

Anrok seeks a Software Engineer with 7+ years experience to own product feature development, fix bugs, and collaborate on technical issues.

Design, develop, and maintain scalable ETL solutions using Informatica PowerCenter and/or IICS. Build end-to-end data pipelines, optimize performance, implement data quality and lineage, and support DevOps/release processes (uDeploy). Leverage strong SQL and database expertise across ODS and data warehouse environments and communicate with stakeholders to ensure reliable high-volume data processing.

The Senior Software Engineer will design and optimize recommendation algorithms, maintain data pipelines, and improve personalized user experiences using machine learning techniques and backend engineering skills.

The Senior Software Engineer will own critical features, develop and deploy scalable software systems, and collaborate with cross-functional teams in a fast-paced environment.

As a Senior Software Engineer, manage Genesys Cloud platform, develop IVR flows, API integrations, and perform system administration and troubleshooting.

Senior staff engineer responsible for system design, building scalable, durable API and AI infrastructure, ensuring performance, observability, security, and mentoring engineers. Collaborate across frontend and backend teams to deliver polished developer experiences and identify scaling bottlenecks before they impact production.

Lead software engineering initiatives, develop APIs for Loan IQ integrations, ensuring robust communication and collaboration with teams. Manage technical standards and practices.

Design, build, and deliver Java Spring Boot microservices and Angular web apps. Implement CI/CD, IaC, containerization, observability, security scanning, automated testing, DB migrations, and developer tooling. Mentor engineers, perform code reviews, collaborate with cross-functional teams, and optimize cost and performance.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Design and maintain scalable backend systems integrating hardware with machine learning. Optimize data processing and deploy microservices for high-performance applications.