Top Software Engineer Jobs

Lead technical architecture for cross-team full-stack initiatives, build scalable cloud-native web apps and distributed services, integrate agentic AI/LLM workflows, set engineering standards, mentor senior engineers, and drive adoption of modern frameworks, CI/CD, and DevOps practices.

Own architecture and drive full-stack, cloud-native initiatives across front-end, backend, and data layers. Design and maintain scalable web applications and distributed services, integrate agentic AI/LLM workflows, set engineering standards, lead technical reviews, resolve performance and reliability issues, and mentor senior/mid-level engineers to raise technical excellence and adoption of modern frameworks and AI tooling.

Lead full‑stack design and architecture using .NET/C#/Angular and cloud (GCP/Azure). Collaborate across teams, ensure quality, testing, security, documentation, troubleshoot production issues, mentor engineers, and adopt AI tools to improve performance and processes.

The Principal Software Engineer will lead and develop high-performance software for the Opal Mapping system while serving as a Scrum Master to facilitate agile processes.

Lead architecture and delivery of scalable, high-performance backend systems; design and ship AI-native, agentic workflows; mentor engineers; collaborate with product and stakeholders; own complex multi-area project lifecycles; ensure reliability, security, and performance; document architectural decisions.

Design and build backend services, APIs, SDKs, and user-facing systems enabling secure agent-to-agent financial interactions. Implement cryptographic identity, payment workflows, transaction processing, reputation tools, and scalable infrastructure for AI-native financial products.

Technical leader on the Elasticsearch Search team driving design and implementation of search and vector features, improving relevance, contributing to Lucene, mentoring engineers, triaging community issues, and writing idiomatic modern Java for a distributed, collaborative team.

Lead architecture and backend development for the vCluster platform by designing and implementing Kubernetes-native solutions in Go, owning features end-to-end, contributing to open-source, and solving deep systems challenges around multi-tenancy, isolation, and GPU infrastructure.

Architect and build core backend components of the vCluster platform by working deeply with Kubernetes internals. Write high-performance Go code, take end-to-end ownership from design to release, contribute to open-source projects, and solve complex systems and multi-tenancy problems for GPU and Kubernetes-based infrastructure.

Develop, test, and maintain software systems including large-scale data platforms and real-time analytics. Collaborate with stakeholders to design features, write clean code, implement algorithms, create documentation, and ensure system reliability and performance.

Design, implement, and deliver full-stack software solutions including data layer, application code, and user interfaces. Build APIs and integrations, architect for cloud and enterprise security, deploy to commercial cloud, and participate in full Agile lifecycle development.

Lead design and operation of large-scale live streaming, captioning, and VOD platforms. Build and optimize encoding, adaptive-bitrate delivery, CDNs, real-time caption generation and translation, and accessible cross-platform players. Own reliability, monitoring, incident response, and partner with product, accessibility, and vendor teams while providing technical leadership and mentorship for the engineering team.

Build and own foundational data infrastructure for Member Marketing and Coverage Eligibility: define data contracts, ensure identity and lineage, implement observability and reconciliation, modernize file/API integrations, design for correctness and auditability in regulated workflows, and lead cross-functional delivery and technical standards.

Build and own full-stack features and greenfield products, collaborate across frontend, backend, design and product, ensure secure, reliable, and scalable implementations, and drive product decisions and roadmap for growth.

Design and implement core, high-performance services for an enterprise-scale AI policy engine. Own architecture and APIs, make tradeoffs across correctness, consistency, availability and latency, and work across stack from data models to product surface to ensure auditable, reliable governance under concurrent load.

Design, build, and maintain Python-based services and AWS data pipelines to compute and validate autonomy performance metrics. Translate system-level safety requirements into production implementations, process telemetry and validation data, implement release validation logic, debug pipeline and telemetry issues, and contribute to workflow orchestration, code reviews, and cross-functional design.

Provide end-to-end production support and develop/customize Oracle E-Business Suite solutions (RICE components). Build PL/SQL, stored procedures, Oracle Reports, XML Publisher, OAF UI customizations, OIC integrations, and Shell scripts. Collaborate with analysts and architects, support SDLC, troubleshoot issues, and train users.

Design, develop, test, and maintain a mission-focused enterprise web application in a containerized Kubernetes/Linux environment. Collaborate with product and system engineers to implement scalable, secure services using Python, Bash, Docker, Helm, SQL, REST, and CI/CD.

Lead full-stack development for an AWS-based product: design and implement backend, data, and web UI; integrate external APIs and AI/ML features; collaborate cross-functionally; improve architecture and engineering practices; mentor teammates and deliver high-quality, production-ready code.

Design and implement pixel-perfect, high-performance web applications from wireframes to production. Collaborate with designers, PMs, and engineers, iterate on architecture and best practices, explore AI/ML integrations, and contribute to a collaborative engineering culture.

Design, build, and operate high-throughput real-time data integration and storage systems. Architect open table format layers at petabyte scale, build and optimize Spark-based batch and streaming pipelines, manage stream processing (Kafka/Flink), orchestrate pipelines (Airflow), and ensure performance, reliability, and cost efficiency across the data stack. Collaborate with platform and product teams and own end-to-end data infrastructure.

Design, build, and operate petabyte-scale data infrastructure: real-time ingestion, storage (open table formats), and serving. Lead performance, reliability, and cost optimization across Spark and streaming pipelines (Kafka/Flink), define data contracts, and establish best practices and tooling. Collaborate with platform, product, and deployment teams to deliver production-grade data systems on AWS GovCloud, Kubernetes, and Airflow.

Lead and deliver large, production-grade software features across backend, frontend, and ML infrastructure. Mentor engineers, drive technical decisions, collaborate with product and design, and ensure scalable, well-tested systems that serve public safety customers.

Build and own large, scalable backend and frontend features enabling secure, cross-organizational collaboration. Design permission systems, data-sharing controls, and secure collaboration frameworks. Work cross-functionally with product, design, and deployment teams, ship production-grade code, and iterate with users to solve complex, high-scale data ingestion and real-time collaboration problems.

Build and maintain scalable, user-centered backend and frontend systems. Design permission and secure collaboration frameworks for cross-organizational data sharing. Own major features end-to-end, work with product and design, iterate with deployment and users, and solve high-scale distributed system challenges.