Top Software Engineer Jobs

Lead and scale engineering across application, backend, infrastructure, and data teams. Responsibilities include hiring and developing engineers, guiding architecture and system design, driving reliable product execution, establishing engineering standards, shaping platform strategy, and partnering with AI, product, and customer-facing teams. The role also requires maintaining strong reliability, security, and privacy practices for clinical patient data.

Leads Roku’s global Enterprise Engineering organization across custom applications, integrations, enterprise data, productivity platforms, and AI enablement. Sets technical and architectural direction, establishes cloud-native and secure engineering standards, develops agent-ready systems, drives AI-first engineering adoption, reshapes teams around outcomes, and coaches distributed engineering leaders. Owns enterprise governance, security, audit, compliance, and major cross-system initiatives while influencing executive stakeholders and transforming organizational operating models.

The role involves developing advanced computational methods for semiconductor manufacturing, leading innovation, and scaling software for high data processing needs.

Provides technical leadership for application development, support, and intelligent automation platforms. Leads software engineers and architects; owns strategy, roadmaps, governance, architecture, standards, and adoption for UiPath, ServiceNow, Power Automate, Copilot Studio, and AI integrations. Partners with business and IT stakeholders to prioritize automation opportunities, manage budgets, ensure application stability, and drive Agile software delivery, DevOps, security, technical debt management, and continuous improvement.

Build and own AI-powered research-enablement tooling, shape the engineering roadmap, make architecture decisions, establish engineering processes, and help scale the team. The role partners closely with research, sourcing, engineering, and the CEO to improve report-production speed and product adoption. Responsibilities also include delivery planning, communicating risks, designing technical interviews, and developing external API or MCP capabilities.

Support development of web and mobile applications, APIs, automation tools, and AI/ML integrations. Write, test, review, and document maintainable code; troubleshoot issues; optimize performance in cloud environments; assist with model deployment and validation; and collaborate with hardware, firmware, and product teams under mentorship.

Develop, integrate, test, deploy, and maintain scalable end-to-end analytics applications for federal government customers. Collaborate with data scientists and mission analysts to build front-end and back-end tools, operationalize data science, and support analyst workflows. Work with customer architectures, data repositories, big data, machine learning, and application development processes, including requirements analysis, design, implementation, testing, integration, deployment, and maintenance.

Lead architecture and implementation of LangSmith platform features across Go, Python, and TypeScript. Collaborate with product, design, customers, and internal stakeholders to deliver scalable observability and evaluation capabilities. Write clean, tested code, design high-performance APIs, work with Postgres and Redis, and drive rapid project execution. The role requires strong fullstack engineering, communication, ownership, and customer engagement skills.

Lead development of agentic-AI capabilities and an evaluation/provenance harness to safely automate bulk code changes. Design CI/CD integrations, PR-provenance controls, observability, test/eval tooling, rollout of standards, and operational support to scale machine-authored changes while ensuring auditability, security, and reliability.

Design and build highly scalable cloud-native microservices and platform components for AI Detection and Response, ensure reliability through testing and root-cause analysis, integrate with CrowdStrike services/APIs, mentor engineers, and drive operational excellence for production systems handling massive event rates.

Lead design, build, and operation of AI-powered Growth experiences (conversational onboarding and AI-driven email). Own technical strategy for an AI Voice Agent and ACE-powered email systems, design APIs and frontend/backends, partner cross-functionally, establish applied-AI engineering patterns, measure impact, and mentor engineers to improve product quality and responsible AI use.

Configure, integrate, and deploy the BT tool stack (Snowflake, Salesforce, Streamlit, workflow tools). Build integrations and Streamlit apps, deploy AI-enabled automations, maintain Snowflake data models and reports, catalog assets with DataHub, implement SDLC/testing/guardrails, ensure data security, and partner with Engineering/InfoSec while mentoring BT team members.

Develop and maintain C++ desktop applications that interface with motion capture systems. Collaborate with software, hardware, and QA engineers to build high-performance, real-time systems. Contribute to internal tools and pipelines using C++ and Python. Participate in code reviews, testing, and documentation.

Leads software engineering teams developing and modernizing scalable, cloud-native systems for claims adjudication and PBM platforms. Responsibilities include people leadership, hiring, delivery execution, architecture guidance, Agile management, cloud cost optimization, production reliability, vendor coordination, and responsible AI tool adoption. The role drives modernization from legacy IBMi/AS400 and RxClaim systems while ensuring security, privacy, regulatory compliance, and effective executive communication.

Develop and support enterprise RPA solutions, including unattended robots, workflow automation, API and REST integrations, Office 365 automation, document understanding, OCR, and AI-enabled processes. The role includes monitoring operational robots, supporting customers, preparing technical documentation, applying development best practices, and managing deadlines and expectations. Work is hybrid in Herndon, Virginia, and requires U.S. citizenship.

Ten-week technology internship at a multi-strategy hedge fund. Interns join a technology team and contribute to data ingestion, high-performance processing, modeling, portfolio and risk management, live execution, and post-trade analysis. The program includes strategic projects, trading simulations, mentorship, professional development, and presentations to senior leaders. Candidates should have a STEM background, programming experience, machine learning and AI knowledge, strong analytical and communication skills, and interest in financial services.

Develop and maintain enterprise web applications using Java, Oracle, Spring, Kafka, and messaging technologies. Design full-stack solutions, troubleshoot complex systems, support testing and production deployments, and optimize performance. Partner with data scientists, architects, and federal stakeholders to deploy AI/ML capabilities involving NLP, LLMs, RAG, data provenance, or deep learning. The role also includes code reviews, unit testing, application maintenance, and technical communication.

Own end-to-end features across Go backend services and React/TypeScript frontend applications. Design, develop, and debug high-load distributed systems, APIs, integrations, and event-driven services. Use AI coding agents as part of daily development, critically reviewing and verifying generated output. Contribute to architecture decisions, resolve complex production issues, and improve engineering practices for AI-assisted delivery.

Lead the consolidation of fragmented robotics services into a unified, scalable production platform. Establish architecture, version control, CI/CD, testing, OTA updates, observability, reliability practices, and customer-system integrations. Own production uptime and incident response while mentoring engineers, defining engineering standards, and eventually leading the software team.

This 12-week, in-person technology internship offers hands-on experience across software and cloud engineering, data science, analytics, AI, cybersecurity, project management, and UI/UX. Interns collaborate with experienced technologists, contribute to healthcare technology projects, attend professional development activities, and may join teams focused on digital products, enterprise data, AI, information protection, insurance technology, or enterprise architecture.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

Build and lead development of Klaviyo's conversational AI platform: native chat surface, agent orchestrator, and agentic UI. Design scalable, reliable systems, ship high-quality code, mentor engineers, drive technical decisions, and improve AI-powered customer experiences.

Lead design and delivery of enterprise integrations, automation, and AI-driven workflows across SaaS platforms. Architect scalable APIs, middleware, and conversational self-service; partner with Security, Infrastructure, and Product to reduce operational toil and enable reliable, extensible enterprise platform capabilities.

Design, build, test, deploy, and maintain cloud-based web applications and microservices. Ensure performance, reliability, and code quality while collaborating on new features, debugging, and optimizing systems. Use AI development tools daily, contribute to infrastructure as code, and promote maintainable architecture and documentation.