Top Software Engineer Jobs

Designs, builds, and productionizes healthcare knowledge graph solutions using LPG and RDF technologies. Develops FHIR data transformation and ingestion pipelines, ontology mappings, entity linking, provenance tracking, graph queries, and automated validation. Translates semantic specifications into scalable implementations while collaborating with ontology, terminology, clinical, FHIR, and data engineering teams. Participates in technical design, architecture reviews, code reviews, and engineering best practices.

Lead integration development using MuleSoft Anypoint Platform. Responsible for API design, event-driven integration, and technical leadership across enterprise systems.

Own and grow either the data engineering or product/web application team. Set technical direction, maintain engineering quality, guide architecture and delivery, mentor and evaluate engineers, hire talent, manage performance, and align engineering outcomes with customer and business goals. The role requires hands-on technical credibility, reliable execution, strong communication, and comfort operating autonomously in an early-stage defense technology company.

Develop and maintain scalable web applications, backend systems, integrations, APIs, databases, and serverless Azure solutions. Build automation scripts, Snowflake data models, and CI/CD pipelines while supporting MuleSoft, Boomi, Salesforce, PostgreSQL, and SQL Server environments. The role collaborates across teams to deliver reliable technology solutions and requires consistent attendance, technical problem-solving, and clear communication.

Own backend services from design through production support, solve ambiguous technical problems, improve reliability, build automation, and contribute to architecture and technical decisions. The role involves developing secure software in a regulated healthcare environment, debugging production issues, writing tests, mentoring engineers, and using modern cloud, deployment, observability, and AI-assisted development tools.

Build and maintain backend services powering food search and logging. Tune Elasticsearch performance across indexing, query evaluation, relevance, cluster management, and monitoring. Develop search-quality metrics and experiments, evaluate data technologies, and collaborate with engineering and product teams. Write production Scala services while working with SQL and Python, large-scale data infrastructure, databases, Kafka, cloud platforms, and AI-powered development tools.

Design, build, and deliver front-end features with strong UX focus. Own technical design, coding, testing, deployment, and monitoring in a continuous delivery, microservices environment. Collaborate with Product, implement automated QA practices, and contribute to production deployments while practicing robust testing methodologies.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.

Develop and optimize cloud-based, low-latency trading systems processing real-time market and event data. Responsibilities include building data pipelines, integrating trading platforms, improving trading strategies, developing analytical reporting, optimizing millisecond-level performance, collaborating with quantitative analysts, and maintaining GCP infrastructure and deployment pipelines.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.