Top Senior Software Engineer Jobs

Develops, enhances, and maintains COBOL mainframe applications using DB2 and JCL. Supports ACH payment processing, NACHA compliance, batch operations, system testing, performance monitoring, troubleshooting, and production issue resolution. The role designs and deploys application enhancements, improves system efficiency, manages risk and change controls, collaborates with technical and business teams, and mentors junior engineers. This is an onsite position near Birmingham, Charlotte, or Atlanta.

Lead development of a proprietary Java and Spring Boot platform framework used by more than 1,000 application teams. Own framework design, versioning, compatibility, testing, containerized delivery, shared platform integration, and complex issue resolution. Lead system design discussions, code reviews, AI-assisted engineering adoption, and geographically distributed collaboration. Mentor engineers and guide architectural decisions affecting large-scale cloud-native applications.

Design and implement logistics optimization algorithms, develop predictive models, and build simulations for patient scheduling and routing in healthcare.

The Senior Software Engineer will explore AI solutions in healthcare, having experience in full-stack/backend development and startup culture.

As a Senior Software Engineer, you will design and build backend services and APIs for healthcare delivery, ensuring system reliability and integrating medical devices while leading projects and mentoring engineers.

As a Senior Software Engineer at Whatnot, you'll build AI tooling for internal use, developing workflows and infrastructure to enhance software delivery. You'll collaborate across teams to gather feedback and prioritize features in a rapidly evolving landscape.

Develop and optimize complex C++ software and algorithms for EO/IR defense systems. Analyze designs, identify flaws, support requirements through testing and integration, and collaborate with systems, hardware, and test engineers. Provide technical leadership, evaluate emerging technologies, improve development processes, and serve as a subject matter expert in algorithm design for electro-optical and infrared applications.

Forge is seeking a Software Engineer II to design and maintain web applications, develop APIs, and ensure system operations. The role requires collaboration and strong engineering skills.

The Software Engineer II will design, implement, and maintain web applications for marketplace middleware, ensuring high code quality and collaborating with stakeholders.

Design, customize, and maintain C++ applications in a Linux environment. Lead releases, collaborate with stakeholders and QA, mentor junior engineers, manage documentation, track performance metrics, and participate in design and peer-programming sessions. May work variable schedules including nights and weekends.

Leads software engineering strategy and delivery for post-trade technology, including system design, application development, testing, operational stability, and cross-functional leadership. Establishes governance for agentic AI-enabled engineering and SDLC automation, emphasizing secure validation, resiliency, traceability, and measurable outcomes. Delivers scalable solutions across business domains while influencing senior stakeholders. Preferred expertise includes Core Java, C/C++/C#, Kafka, MQ, FIX, MongoDB, Cassandra, Sybase modernization, performance tuning, concurrency, and resilient system design.

Leads development of secure, scalable backend and full-stack applications for Asset and Wealth Management. Provides technical direction, writes and reviews production code, optimizes microservices, and promotes AI-assisted engineering practices. Collaborates with architects, designers, distributed teams, wealth managers, and stakeholders to deliver AWS-native solutions. Applies Agile practices, CI/CD, Java and Spring expertise, React-based UI development, relational databases, and high-availability architecture while presenting solutions and guiding technology adoption.

Lead the design, development, and operation of secure, scalable AI/ML cloud platforms. Build infrastructure, automation, APIs, deployment workflows, and GPU-enabled environments for model training and inference. Drive reliability, observability, cost optimization, incident response, and enterprise LLM operationalization. Partner with data science and engineering teams while promoting responsible AI-assisted development, secure coding, automated testing, and production-quality delivery.

Design, develop, test, document, and maintain scalable big data solutions. Build APIs, evaluate technologies, translate requirements into solution designs, estimate development efforts, and collaborate with engineering, QA, architecture, and management teams. Provide production support, participate in prototypes and code reviews, document solutions, and continuously develop technical skills.

Leads design and development of real-time, mission-critical software using Java and Kafka. Provides technical leadership across system design, application development, testing, cloud-native delivery, resiliency, security, and performance optimization. Promotes AI-assisted engineering practices, validates AI outputs, evaluates architecture and vendors, and mentors teams through communities of practice. The role operates within an agile financial services technology environment.

Lead an agile software engineering team for payments projects: manage Scrum/processes, coordinate cross-functional delivery, track risks/dependencies, drive governance, adopt enterprise AI-assisted development practices, and improve SDLC automation and quality.

Leads software engineering for the Control-M orchestration platform, providing technical direction, developing and reviewing secure production code, and improving system design, functionality, operations, and stability. Drives responsible adoption of AI-assisted engineering practices, automation, governance, testing, and secure coding standards. Serves as a subject matter expert, supports enterprise frameworks, and collaborates with distributed teams, vendors, and stakeholders to modernize large-scale technology products.

Leads the design, development, testing, and optimization of large-scale data engineering solutions. Responsibilities include building Python and PySpark ETL pipelines, orchestrating workflows, developing AWS cloud-native services, managing data lakes and Snowflake environments, and implementing testing, CI/CD, and secure engineering practices. The role also promotes responsible AI-assisted development, mentors engineers, participates in code reviews, and drives technical delivery initiatives.

Leads development of secure, scalable, cloud-native Java microservices using Spring Boot and Kafka. Designs domain-driven, event-driven architectures; delivers production code, automated testing, CI/CD, observability, resiliency, and operational improvements. Provides technical leadership through code reviews, debugging, vendor evaluations, communities of practice, and cross-functional collaboration. Promotes responsible use of approved AI-assisted engineering tools, including validation for correctness, performance, security, and data sensitivity.

Build and extend full-stack features using React, Node.js, and Go; design PostgreSQL and MongoDB schemas; implement authentication and authorization; develop scalable APIs; write unit and integration tests; and safely refactor or decommission legacy code. Collaborate with program managers, customer stakeholders, and Agile teams while integrating AWS services and potentially Snowflake and n8n.

Develop and maintain Python backend services, primarily with Flask, while designing scalable architecture and integrating legacy systems. Build AWS solutions using Lambda, Cognito, SNS, SQS, and DynamoDB; maintain CI/CD pipelines and infrastructure as code with OpenTofu and Terraform. Collaborate in an Agile/Scrum environment, contribute to technical decisions and engineering standards, review code, and mentor junior developers.

Design, build, deploy, and scale distributed cloud systems for NVIDIA GeForce NOW. Develop backend services and microservices, optimize reliability and performance, drive automation, monitoring, and infrastructure improvements, and build scalable test harnesses. Influence architecture and technology choices while collaborating across teams, mentoring engineers, and promoting technical excellence and operational ownership.

Design, develop, and deploy scalable cloud-native components and microservices for Cisco’s security platform. Collaborate with product and engineering teams on requirements, planning, system design, integrations, prototypes, and performance validation. Build event-driven services, manage infrastructure, contribute to resilient production systems, and mentor peers and interns. The role uses Go, Terraform, AWS serverless and container services, SQL and NoSQL databases, Kafka-based messaging, and AI/ML development tools.

Design, develop, test, deploy, maintain, and document software applications and systems across the software development life cycle. Participate in requirements, estimation, testing, reviews, and project planning. Debug code, conduct code reviews, provide technical guidance, mentor junior developers, and support development workflows. Use modern cloud, CI/CD, configuration automation, database, source control, and monitoring technologies.

Design and develop cloud-native microservices using Java, Spring Boot, GCP, and Kubernetes. Lead architecture decisions, CI/CD deployments, infrastructure-as-code practices, reliability and security standards, documentation, agile ceremonies, technical presentations, and prototyping. Manage and mentor cross-functional engineering teams while monitoring SLA, SLO, SLI, quality, security, and FinOps metrics.