Top Software Engineer Jobs

Lead full-lifecycle software development integrating robots and plant-floor devices with manufacturing data systems. Build, maintain, debug, optimize, and secure production applications using C++, Java, Azure, ROS, testing, CI/CD, and agile practices. Collaborate with manufacturing, controls, OT/IT, and data teams; support on-call operations, resolve urgent production issues, mentor developers, and conduct code reviews.

Build and maintain high-throughput, low-latency distributed data systems across ingestion, storage, and retrieval. Optimize delivery pipelines, scale analytical database clusters (ClickHouse), develop GraphQL and log delivery solutions, monitor performance with observability tooling, troubleshoot production issues, and collaborate cross-functionally and with open-source communities to evolve the data platform.

Software Engineering Interns will build and ship high-impact software projects across product, infrastructure, customer experience, mobile, and security teams. Responsibilities include designing, developing, testing, and deploying features; collaborating with multidisciplinary teams; participating in agile development and prototyping; applying user-centered design; and learning through mentorship, technical talks, and feedback. The internship is virtual, full-time, and lasts 12 weeks during Summer 2027.

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

Leads end-to-end architecture and development of secure, scalable enterprise software using Java, Spring Boot, and Python. Defines APIs, integrations, distributed systems, data patterns, and operational requirements. Provides hands-on technical leadership, resolves production issues, establishes engineering standards, and productionizes AI/ML capabilities with responsible AI controls. Partners with data science teams on model deployment, monitoring, and lifecycle management while driving modernization, DevOps, resiliency, and observability practices.

Develops secure, scalable full-stack software for network perimeter and CDN services. Responsibilities include designing distributed applications, building Python APIs, producing architecture artifacts, analyzing system data, improving application reliability, and troubleshooting production issues. The role also involves cloud deployment on AWS, CI/CD, secure SDLC practices, infrastructure automation, mentoring, code reviews, and responsible use of AI-assisted development tools. Preferred experience includes Terraform, CDN and WAF providers, React, and regulated environments.

Contribute to design, develop, and test simulation software; build modular physics components (aerodynamics, actuators, payloads); integrate simulations with engineering workflows; use version control and document code; learn basic ML/AI techniques under mentorship; collaborate with cross-functional teams.

Leads software engineering strategy and multiple development teams building Python/Django applications and distributed, low-latency systems. Establishes coding standards, oversees software releases, manages platform support, budgets, project delivery, and performance metrics. Partners with engineering and cross-functional teams to integrate technologies and align development practices with organizational objectives. The role requires independent judgment, punctual attendance, and availability for nights, weekends, and variable schedules.

Leads software engineering projects and development teams building full-stack, distributed microservices and cloud-based solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers systems supporting regulatory needs and customer experiences. The role uses multiple programming languages, open-source databases, container orchestration, and major cloud platforms.

Lead development of API-driven network automation and frameworks using Python and automation tools. Translate manual procedures into secure, maintainable automation, collaborate with network and platform teams, and apply AI-assisted development responsibly to accelerate design, testing, and troubleshooting.

Leads the Customer Platforms engineering portfolio, owning platform architecture, technical health, AI readiness, engineering standards, and long-term technology roadmaps. Directly manages Value Stream Leaders, develops engineering talent, guides build-versus-buy decisions, oversees vendor relationships, and drives AI transformation across Salesforce, contact center, CRM, and marketing automation platforms. Establishes operating models, quality standards, automated validation, and scalable architecture patterns while aligning platform strategy with business goals.