Top Software Engineer Jobs

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.

Modernize and maintain Magnus and Goliath platforms across Java, Go, and JavaScript. Build AI-powered features (LLMs, tool-calling), integrate BigQuery, GCP, MySQL and internal APIs, diagnose production issues, write automated tests, and own projects end-to-end from design through deployment and support.

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.

Provides technical leadership for Java, AWS, and AI-enabled enterprise solutions. Designs scalable applications and cloud-native architectures, guides development teams, supports modernization and migrations, evaluates AI/ML capabilities, and ensures performance, security, reliability, and compliance. Responsibilities include troubleshooting, root cause analysis, technical reviews, cross-functional collaboration, mentoring, and advising on architecture, APIs, microservices, distributed systems, and DevOps practices.

Develop, test, maintain, and troubleshoot Java enterprise applications and services. Support AWS cloud solutions, AI integration, APIs, microservices, cloud migration, modernization, and deployment activities. Collaborate with architects, developers, stakeholders, and cross-functional teams in an agile environment. Participate in code reviews, technical planning, system integration, documentation, and production support while following software development best practices.

Design, develop, test, modernize, and migrate enterprise Java applications to AWS. Build cloud-native microservices, integrate AI models, optimize performance and security, troubleshoot distributed systems, and support CI/CD and DevOps practices. Collaborate with technical stakeholders, participate in design and code reviews, mentor junior developers, and contribute to mission-critical application delivery. The role requires extensive Java and AWS migration experience, with eligibility to obtain Public Trust clearance.

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.

Build reusable AI developer tools, RAG knowledge systems, and AI-assisted SDLC workflows. Integrate coding assistants and design-to-code tooling, define secure observable patterns, and own reliability, usage, and cost for internal AI platforms.

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.

Build and ship scalable, performant AI-powered Copilot web experiences for millions of users. Design reusable frontend systems, deploy frontend infrastructure, and collaborate with AI researchers, product managers, and designers. The role emphasizes user-centric product development, safety, reliability, rapid iteration, and high-quality execution in a collaborative environment.

Lead and remain hands-on building an AI-first developer portal and secure external API platform. Define architecture for agent-ready workflows, authentication/credential flows, contract-first APIs, resiliency, observability, and AI-enabled support. Drive cross-functional delivery, coach engineers, and ensure operational controls, auditability, and production readiness for integrations.

Design scalable, secure enterprise solutions for Baldwin Retail, translating product requirements into technical designs. Build agentic AI and automation, integrate cloud (AWS/Azure), produce ADRs and specifications, evaluate third-party platforms, embed security and compliance controls, collaborate with Product, Security, and Data, and create reusable architecture patterns and prototypes.

Develop and manage enterprise APIs, microservices, full-stack applications, and integrations using C#/.NET and Azure. Design and govern APIs through Azure API Management, build cloud data pipelines, implement CI/CD with Azure DevOps and Terraform, and integrate enterprise systems, messaging platforms, and data warehouses. Apply API security, observability, and AI-assisted development practices while providing production support. Collaborate with distributed teams, mentor developers, lead architecture discussions, and own complex integration solutions end to end.