Top Software Engineer Jobs

Design, implement, and operate low-latency, high-throughput C++, Go, and Python services for real-time sensor ingestion, tracking, inference, and data pipelines. Build IPC/messaging interfaces, optimize data structures and Protobuf serialization, deploy containerized services on Kubernetes (Argo/Helm) in GCP, and implement observability, testing with historic/simulated data, and end-to-end O&M.

Lead design, development, and implementation of enterprise integration solutions using Software AG WebMethods. Build secure, scalable APIs and message-queue integrations (RabbitMQ, Kafka, JMS, ActiveMQ, Mulesoft, Azure MQ). Enforce API security, perform unit/integration/regression testing, ensure performance and platform compatibility, apply API-led/SOA/RESTful microservices patterns, and support Agile resource planning and release practices.

Develop novel computational geometry and meshing approaches for physics simulation, drive initiatives, and resolve technical challenges while contributing to product capabilities.

Develop production-grade backend software using Java or Python, with working knowledge of Golang. Build cloud-native microservices, REST APIs, enterprise integrations, and event-driven systems. Design scalable, highly available solutions and containerized deployments using Docker, Kubernetes, and Helm. Implement CI/CD automation, testing, observability, performance tuning, and quality controls. Troubleshoot Linux environments, databases, and distributed systems. Telecommunications experience and familiarity with TM Forum Open APIs are desirable.

Build and maintain reliable, scalable distributed cloud microservices for automotive connectivity systems. Develop secure REST and gRPC APIs, manage high-throughput asynchronous processing, and work with Kubernetes, serverless AWS Lambda, event-driven architecture, Protobuf, Kafka, NoSQL databases, and caching. Responsibilities include deployment automation, performance optimization, testing, code reviews, troubleshooting, monitoring, and root-cause analysis across production environments.

Leads architecture, solution design, engineering direction, and modernization across Guardian’s annuity technology ecosystem. The role guides policy administration, servicing, distribution integrations, data, digital experiences, and enterprise platforms. Responsibilities include defining technology roadmaps and guardrails, modernizing legacy systems, developing API- and event-driven cloud-native solutions, improving reliability and engineering practices, enabling third-party distribution, and mentoring technical teams. The Principal Engineer partners with business, product, architecture, engineering, and external stakeholders to deliver scalable, secure, resilient platforms.

The Software Engineer will build AI-powered chatbot workflows, own features end-to-end, and collaborate in a fast-paced environment. Ideal candidates have a strong engineering foundation and experience with AI development tools, focusing on enhancing software processes.

Design, build, test, and maintain scalable backend services, APIs, and cloud data pipelines using Java/Python on GCP. Integrate LLMs/AI services, improve AppSec, write tests, troubleshoot production issues, participate in code reviews, and collaborate with cross-functional teams.

Design and build scalable production-grade software systems, including APIs, platforms, integrations, and services. Translate business needs into technical solutions, prototype and iterate rapidly, make architecture decisions, write tested code, review designs, mentor teammates, and communicate with technical and non-technical stakeholders. Consultants own delivery, adapt to ambiguity, collaborate cross-functionally, and use modern development and AI-assisted tools to deliver client value.

Lead and scale the Transformers engineering team to deliver document transformation, OCR, and text extraction capabilities. Define technical vision and roadmap, oversee multi-team delivery, mentor engineering leaders, collaborate with Product, Architecture, and Data Science, promote best practices for CI/CD, microservices, cloud, and containerized deployments, ensure security and compliance, and foster a culture of innovation and high performance.