Top Software Engineer Jobs

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

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.

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.

Build and scale a multi-tenant AI Operations platform using backend microservices, GraphQL and REST APIs, databases, event-driven services, and AI/ML integrations. Design platform architecture, optimize distributed systems, implement observability, and deploy containerized services through CI/CD and orchestration tools. Collaborate with internal and external engineering teams to integrate modern and legacy systems into reliable, production-grade infrastructure.

Leads AWS-native application engineering initiatives across architecture, development, testing, deployment, and modernization. Sets technical direction, oversees multiple delivery workstreams, guides AI-enabled engineering practices, and develops scalable cloud solutions. Builds executive client relationships, shapes transformation roadmaps, supports business development, mentors engineering teams, and drives application performance, security, reliability, and cloud modernization across AWS and other major cloud platforms.

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.

Leads the design and implementation of large-scale, cloud-native full-stack systems for cloud operations resilience. Develops distributed microservices using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes. Defines platform roadmaps, architecture, engineering standards, and operational practices while improving reliability, performance, and technical debt. Mentors engineers, leads design reviews and cross-functional initiatives, evaluates emerging AI technologies, and influences enterprise technology strategy.

Build and lead development of cloud-based, full-stack systems supporting observability, connectivity, resilience, and availability. Design distributed microservices, define service boundaries, establish engineering standards, improve system performance, reduce technical debt, and implement AI-powered solutions. Collaborate with product managers and architects, influence technology strategy, mentor engineers, and drive cross-functional technical initiatives using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes.

Leads multiple software engineering teams within employee platforms, providing technical guidance, managing delivery, coaching engineers, and ensuring compliance with business requirements and service levels. Drives responsible adoption of enterprise-authorized AI-assisted development, SDLC automation, and reusable engineering practices. Oversees stakeholder relationships, project dependencies, agile delivery, security, application resiliency, and cloud-native engineering initiatives.

Leads diverse technology projects and developer teams building cloud-based, full-stack risk management solutions. Provides technical direction across Agile teams, defines architecture and service integrations, mentors engineers, establishes engineering standards, and drives system performance and technical debt reduction. Develops distributed microservices and APIs using modern programming languages, databases, containers, AWS services, AI tools, CI/CD, and observability practices.

Design and build scalable Go or Rust backend services and data pipelines for asset discovery, recognition, and enrichment. Solve distributed-systems challenges involving concurrency, fault tolerance, and high-throughput processing. Integrate AI and ML capabilities, use AI-assisted development tools, contribute to architecture and technical standards, mentor engineers, and participate in code reviews and continuous improvement.

Leads full-stack software engineering teams and a portfolio of technology projects focused on developer experience, distributed systems, microservices, and cloud-native platforms. Sets technical strategy, oversees large-scale system design and delivery, manages engineering leaders, develops talent and succession plans, and aligns roadmaps with enterprise goals. The role involves Java, Python, cloud platforms, databases, containers, APIs, Agile delivery, and emerging AI technologies.

Leads engineering projects and developers building cloud-based, AI-powered risk management solutions. Designs distributed microservices and full-stack systems, establishes technical standards, partners with architects and product managers, improves system performance, reduces technical debt, and mentors engineers. The role uses AWS technologies, modern programming languages, databases, APIs, CI/CD, infrastructure as code, automated testing, and observability within Agile teams.

Provides Level 3 customer support for HPE Cray Programming Environment software. Analyzes, reproduces, isolates, debugs, and resolves complex issues; develops workarounds; escalates unresolved problems to HPE R&D or external partners; performs pre-release testing; documents issue resolution; supports customers after hours; and mentors less-experienced staff.

Leads the strategy, engineering, and operations of enterprise-scale Snowflake data platforms supporting approximately 600 million daily transactions. Directs multiple engineering teams, drives agentic AI-enabled engineering practices, delivers secure and governed data products, and ensures platform scalability, resilience, observability, data quality, and cost efficiency. Partners across Finance, Risk, Operations, Sales, and Marketing while managing complex global initiatives and developing high-performing engineering talent.

Leads technology projects and developers building cloud-based, full-stack risk management solutions. Designs distributed microservices, APIs, and reusable frameworks; establishes engineering standards; partners with product managers and architects; mentors engineers; evaluates emerging technologies and AI tools; and improves system performance, observability, and technical debt across Agile teams.

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.

Lead design and deliver AI-native, cloud-native software components; develop secure high-quality production code; drive adoption of AI-assisted engineering practices, CI/CD automation, SDKs and reusable frameworks; mentor engineers and lead cross-team communities of practice.

Leads the Client Platform technology organization, owning engineering, architecture, delivery, technology strategy, platform investment, AI capabilities, data integration, and governance. Partners with Product Owners and business leaders across institutional, wealth, intermediary, marketing, sales, and client servicing functions. Oversees client-facing technology ecosystems, vendor relationships, contract negotiations, risk controls, and scalable capabilities for wealth distribution, private markets, CRM, marketing, and client engagement.

Leads the design and development of scalable, cloud-native, AI-powered software systems. Translates strategic objectives into system implementations, drives architectural integrity, reliability, security, and operational excellence, and champions DevOps and CI/CD practices. Provides technical guidance through code reviews, architecture decisions, and incident analysis while mentoring engineers and improving system scalability, observability, and delivery velocity across engineering teams.

Architects and builds distributed configuration, feature-flagging, experimentation, and rollout infrastructure. Designs scalable, reliable backend systems; establishes automated safeguards, progressive delivery, observability, rollback, and measurement capabilities. Integrates AI into platform development and operational workflows, leads cross-team technical initiatives, delivers APIs and self-service tools, mentors engineers, and owns production outcomes.

Build and operate production software autonomously while working closely with customers, product managers, and design. Investigate repair-industry workflows, shape product direction, design and implement solutions, and deliver trustworthy AI-assisted experiences. Define and measure outcomes, improve customer value and production performance, make pragmatic technical trade-offs, mentor teammates, and create reusable tools and patterns. The role emphasizes end-to-end engineering across user experience, backend services, and data flows.

Leads and develops engineering teams responsible for wealth management products, platforms, and services. Provides technology strategy, architectural guidance, governance, and delivery oversight while driving cloud modernization, DevSecOps, automation, resilience, security, and operational excellence. Partners with Product, Architecture, Data, and business leaders to align technology investments with client and business outcomes. Mentors future leaders and ensures compliance with regulatory, security, and risk requirements.