Top Software Engineer Jobs

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

As a Staff Software Engineer, you will design, build, and operate the Agentic Data Plane (ADP) and cloud services across major cloud providers while leading system architecture and ensuring system reliability and scalability.

Lead design and implementation of Java/Spring middleware and microservices, optimize Oracle/SQL and MongoDB interactions, integrate AI tools into development and CI/CD, mentor engineers, drive architecture, testing, deployment, and production stability, and apply AI for code generation, monitoring, and risk analysis.

Lead development of AI/ML prototypes and tools across frontend and backend stacks. Collaborate with researchers to design, implement, deploy, and scale AI applications using cloud, containerization, databases, and microservices. Follow Agile practices and produce well-documented, tested software for defense missions.

Lead architecture, development, and operational health of enterprise applications and AI platforms. Mentor junior engineers, set coding and security standards, evaluate new technologies, perform code reviews, and drive platform reliability, performance, and documentation across the organization.

The Senior Staff Engineer will lead the development of an underwriting platform, enhance AI integration, mentor junior engineers, and collaborate with teams to transform GEICO's underwriting processes through tech innovations.

As a Staff Software Engineer, you will lead technical strategies, develop APIs and microservices, and mentor engineers for innovation at GEICO.

Design, build, test and support batch and streaming data pipelines and curated datasets on a lakehouse/AI data platform. Work across ingestion, transformation, modeling, optimization, data quality and reconciliation; improve platform tooling and standards; collaborate with stakeholders and lead delivery and technical design for workstreams.

Lead development and commercialization of Cloud Data solutions: design cloud data architectures, lead migrations and ETL/ELT, operationalize AI across clouds, support strategic sales pursuits, enable and train solution architects, secure partner co-investment, and provide steering‑committee oversight to mitigate delivery risk and drive practice growth.

Design, build, and maintain scalable data infrastructure and tooling for the full data lifecycle to support AI model training and biomedical research. Partner with researchers to enable performant data pipelines, orchestration, storage, observability, and hybrid cloud/HPC compute workflows.

Design, develop, and maintain RESTful APIs and UI components for enterprise applications. Gather requirements, define contracts, implement secure and performant solutions, perform code reviews, mentor others, test systems, support deployments, and provide on-call monitoring and support.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Early-career full stack engineer role to build end-to-end product features, integrate AI coding tools into the workflow, mentor peers, improve cross-team efficiency, and contribute across the product lifecycle from design through deployment.

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

The AI Tools Architect/Tech Lead role involves designing AI personas, maintaining AI configuration artifacts, and leading impactful engineering teams. The candidate will innovate with AI coding tools, evaluate code review agents, and drive organizational change through documentation and collaboration across teams.

Build end-to-end internal applications for Finance and Supply Chain: design React/TypeScript UIs, Python services/APIs, durable workflows, and enterprise integrations (Oracle Fusion, Zip). Own product lifecycle from discovery to rollout and production support, ensuring reliability, security, auditability, and reusable building blocks; apply AI where valuable.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.

Design, build, and maintain scalable backend and frontend automation solutions for analytics and reporting. Partner with stakeholders to streamline processes, create and optimize data assets and dashboards, maintain SQL databases (cloud and on-prem), measure automation ROI, support projects, and mentor junior team members.

Lead strategy, modernization, and delivery of DTCC's Salesforce and AI platform. Own roadmap, integrations, AI adoption (Einstein/AgentForce), engineering practices (DevOps/CI/CD), and build global high-performing teams to drive client engagement and operational efficiency.

Design, build, and deliver AI-enabled, cloud-native full-stack solutions for Lending platforms. Lead components, implement APIs, CI/CD, observability, and AI patterns (Prompt Engineering, RAG). Mentor engineers, collaborate with architects and business partners, ensure security/compliance, and produce operational documentation and production-ready code.

Design, develop, test, and maintain LabVIEW-based and multi-language diagnostics and calibration software for reticle inspection platforms. Prototype and productionize AI/ML and generative-AI tools to improve diagnostics, calibration, and engineering workflows. Build CI/CD pipelines, participate in design/code reviews, troubleshoot system-level issues, and collaborate with cross-functional hardware, system, and manufacturing teams. Occasional travel (~10%).

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

Lead a team to optimize algorithms for Deep Learning and Machine Learning, define technical initiatives, and collaborate with various teams for hardware and software innovation.

Design and implement graph-based search services and scalable backend systems using Java and Spring Boot. Build GraphQL/REST APIs, integrate with AWS services and databases, ensure observability with New Relic and Coralogix, mentor engineers, and collaborate on search and recommendation features to deliver reliable, cloud-native solutions.