Top Software Engineer Jobs

Lead the company-wide engineering organization and technical strategy while remaining hands-on with architecture, coding, and code reviews. Own AWS infrastructure, reliability, security implementation, cloud costs, disaster recovery, and incident response. Partner with security, product, and business stakeholders to deliver scalable fintech, digital asset, and AI solutions. Manage budgets, vendors, engineering processes, technical debt, hiring, and organizational development.

Develop scalable Java and Python applications for mortgage trading, quantitative analytics, workflows, and reporting. Integrate AI and generative AI capabilities, collaborate with business and technology teams, and oversee application development from analysis through production. Responsibilities include coding, testing, CI/CD, debugging, operational support, process improvement, and resolving complex technical initiatives. The role also advises stakeholders and coaches junior analysts while working with limited supervision.

Develop and support scalable Python applications for mortgage trading, quantitative analytics, workflows, and reporting. Integrate AI and generative AI capabilities, collaborate with business and technology teams, and manage the full software development lifecycle from analysis through production support. The role requires coding, testing, CI/CD, debugging, system integration, process improvement, stakeholder advising, and mentoring junior analysts.

Leads Tea’s engineering organization and strategy, overseeing technical direction, architecture, delivery, hiring, mentoring, and team growth. The role partners with executive and cross-functional leaders to build scalable, reliable, secure systems and customer-facing products. Responsibilities include engineering planning, resource allocation, development standards, system design, code reviews, and occasional hands-on development. The leader will balance rapid product delivery with long-term scalability and operational excellence in a high-growth startup environment.

Designs, develops, tests, and operates secure Azure data services in air-gapped and regulated environments. Responsibilities include writing maintainable code, debugging incidents, conducting code reviews, improving reliability and security, evaluating architectural options, contributing to design documents, and mentoring engineers. The role applies AI tools across the software development lifecycle and ensures solutions meet performance, scalability, compliance, privacy, and resiliency requirements.

Own major product areas end to end, driving roadmaps with customers and product managers. Build and ship full-stack features across frontend, backend, and databases, using AI agents for coding and review. Create technical design documents, collaborate with staff engineers, and work directly with finance professionals, sales, and customer success to turn user needs into product improvements.

Design, build, test, and release secure shared services, libraries, pipelines, APIs, and platform capabilities for data and AI products. Partner with product managers, evaluate technologies, create design proposals, develop reusable versioned interfaces, and support production operations. Contribute to architecture and roadmap decisions, conduct code and design reviews, mentor engineers, and establish engineering practices for a new team.

Leads a US-based software engineering team building reusable data foundations and AI platform capabilities. Partners with product management on priorities and outcomes, manages and develops engineers, owns architecture and technical direction, contributes hands-on to critical designs and code, and oversees execution, reliability, testing, releases, cost, and production services. Requires strong data modeling, governance, cloud platform experience, product judgment, and cross-functional influence.

Develop and operate large-scale Azure cloud infrastructure systems, including control-plane tooling, hardware telemetry, health monitoring, signal processing, and automated remediation. Use data science and AI to improve fleet management, reliability, availability, and performance. Lead cross-functional solutions spanning hardware, firmware, platform, and software teams while conducting monitoring, debugging, root-cause analysis, and continuous service improvements.

Lead enterprise technical strategy for Linked Data, graph-based systems, and metadata modernization. Define architecture roadmaps, partner with Architects and Product, drive adoption of graph standards, write production code, build proof-of-concepts, evaluate AI-driven solutions, and mentor senior engineers. The role requires hands-on software development, cross-team influence, and expertise in Java, graph databases, RDF, SPARQL, distributed systems, microservices, and cloud platforms.

Leads enterprise application development, database management, Power Platform architecture, workflow automation, reporting, integrations, and modernization initiatives. Oversees technical design, development governance, secure application practices, documentation, and compliance with government requirements. Provides hands-on solution delivery, mentors developers, and supports AI, machine learning, chatbot, and automation efforts in secure federal environments.

Leads multiple engineering departments delivering an enterprise AI infrastructure platform across on-premises, public cloud, and accelerated-compute environments. Owns Kubernetes-based training and experimentation platforms, platform APIs, distributed workloads, GPU scheduling, security controls, observability, reliability, and operational excellence. Partners with senior leaders, manages engineering managers and teams, drives platform adoption and scalability, and builds a high-performing engineering organization.

Own and develop Cloudflare’s procurement systems ecosystem, including Zip, Ironclad, Oracle Fusion Cloud Procurement, and Coupa migration. Administer environments, access controls, integrations, workflows, APIs, AI features, upgrades, and Tier 3 support. Partner with Procurement, Legal, Finance, Audit, Risk, and Compliance to optimize P2P and CLM processes, maintain SOX controls, enforce segregation of duties, support data governance, and ensure audit readiness and business continuity.

Leads a new GTM Engineering function, setting technical strategy and managing 2–3 engineers while remaining hands-on. Builds production systems connecting marketing, sales, product, and data platforms; orchestrates GTM workflows; improves prospect qualification and routing; establishes measurement and experimentation; and applies AI with evaluation, testing, and human oversight. The role uses TypeScript, Node.js, Customer.io, Salesforce, Snowflake, and Haskell integrations.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Leads development, integration, deployment, and support of enterprise applications, databases, reporting solutions, workflow automation, and AI-enabled technologies for the university’s research and innovation division. Responsibilities include Microsoft SQL Server administration, system integrations, data pipelines, troubleshooting, application security, modernization, dashboard development, and technical architecture. The role collaborates with stakeholders to translate business requirements into secure, reliable, data-driven solutions and provides technical leadership for emerging AI initiatives.

Develop and architect physics-based modeling and simulation software for advanced space nuclear systems. Lead software engineering standards, architecture, code reviews, testing, verification and validation, release management, CI/CD, and documentation. Refactor scientific codes, build multiphysics simulation interfaces, ensure reproducibility, and collaborate with NASA and multidisciplinary engineering teams. The role requires C++, Python, engineering software development, numerical methods, high-performance computing, parallel processing, and the ability to validate physics-based models.

Leads complex software initiatives, architectural decisions, and technical strategy for scalable distributed systems. Designs cloud-native, microservices-based, event-driven architectures on AWS; integrates AI and machine learning into production systems; mentors engineers; establishes standards for quality, security, observability, and operational excellence; and translates ambiguous business needs into reliable technical solutions.

Lead architecture, technical design, and hands-on software development across macOS, Windows, web, and server platforms. Build and scale complex systems, rapidly deliver user value, maintain engineering quality through testing and continuous integration, and collaborate with product, design, leadership, users, and partners. The role requires technical leadership in a fast-changing startup environment, with potential work spanning local LLMs, infrastructure autoscaling, collaboration features, and secure key distribution.

Leads the design, development, deployment, and support of secure, scalable full-stack applications using Java, Spring Boot, React, and TypeScript. Owns cloud-native microservices, APIs, event-driven Kafka architectures, observability, reliability, and technical architecture decisions. Mentors engineers and establishes quality standards while advancing AI-assisted development, agentic workflows, responsible AI practices, and engineering automation.

Drive technical alliances with hyperscalers by developing reference architectures, technical content, and joint solutions. Influence product roadmap, enable sales through training and demos, support co-marketing, and represent Dynatrace in partner communities.

Leads full-stack engineering initiatives involving distributed systems, cloud-native applications, AI agents, RAG pipelines, and real-time interfaces. Designs frontend and backend architectures using modern web frameworks, APIs, microservices, and enterprise integrations. Provides technical leadership across teams, establishes architecture and coding standards, mentors engineers, drives reliability and observability practices, and shapes platform roadmaps and technology strategy.

Own the implementation, hardening, and polish of game AI behaviors and systems for shipping. Collaborate with design, animation, and other disciplines to tune AI features and support the creative vision. Ensure reliable, stable enemy behaviors and enhance existing architecture. The role requires deep Unreal Engine and modern game AI experience, strong C++ skills, animation systems knowledge, and at least one shipped game title focused primarily on AI.

Leads design, development, testing, deployment, and production support for secure Java microservices and REST or event-driven APIs. Owns DevOps execution, CI/CD pipelines, automated quality gates, resilience, observability, and comprehensive testing. Promotes responsible AI-assisted engineering practices, evaluates technology vendors, and guides teams on scalable AWS or private-cloud solutions using Cassandra and Kafka.

Own end-to-end enterprise platform deployments, from scoping customer workflows through production launches and iteration. Configure AI agent behavior, integrations, retrieval, prompts, workflows, operating procedures, and safety guardrails within complex SAP environments. Create technical artifacts, evaluation plans, and customer documentation; apply AI tools to development, testing, data, and support. Partner with the Platform team to develop repeatable deployment abstractions while working directly with enterprise stakeholders.