Top Software Engineer Jobs

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring microservices. Drive team adoption of enterprise-authorized AI-assisted engineering practices, produce architecture artifacts, improve code quality via automation and CI/CD, troubleshoot complex issues, and coach engineers on responsible AI and secure coding standards.

Designs, develops, debugs, and delivers secure, scalable software solutions using modern SDLC and agile practices. Leverages enterprise-authorized AI-assisted coding tools, produces architecture and design artifacts, analyzes large data sets to improve systems, and ensures operational stability and secure coding standards.

Lead and deliver secure, scalable Java-based microservice solutions; drive adoption and safe use of enterprise AI-assisted engineering tools; produce architecture and high-quality production code; improve CI/CD, data models, and system reliability while mentoring engineers and contributing to engineering communities.

Lead and contribute to full‑stack AI initiatives for Capital One Shopping. Design, implement, and deliver cloud-based services and AI-driven features, mentor engineers, collaborate with product teams, and evaluate emerging technologies to scale experiences for millions of users.

Build and guide scalable full-stack portfolio management platforms using AI-enabled engineering practices. Define technical direction, architecture, specifications, and delivery plans; design resilient distributed systems; contribute to design and deployment reviews; provide production support with an SRE mindset; mentor engineers; establish governance and quality standards; and collaborate globally with product, engineering, and business leaders. The role emphasizes Java, React, Angular, APIs, event-driven architecture, TDD, BDD, cloud-native platforms, and responsible AI integration.

Design, build, and maintain globally distributed, fault-tolerant backend microservices and data pipelines. Integrate and refine Large Language Models, collaborate cross-functionally, ensure high-quality code, testing, monitoring, and mentor other engineers while owning features end-to-end.

Lead performance architecture and optimization strategies for AI inference services, focusing on maximizing throughput and minimizing latency for advanced models. Mentor the team, collaborate on product features, and maintain expertise in GPU architectures and open-source projects.

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.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

Lead a team to design and deliver cloud-based full-stack microservices and applications, collaborate with product managers, mentor engineers, experiment with emerging technologies (AI/LLM), and ensure solutions meet regulatory and customer needs using modern languages, databases, containers, and AWS services.

Leads multiple software engineering departments and sets strategy for transactional data, analytics, and AI platforms. Directs agentic AI-enabled engineering and SDLC automation, establishes governance and security guardrails, and prepares data applications for AI agent consumption. Oversees large-scale distributed systems, cross-functional delivery, data quality, resilience, incident response, stakeholder alignment, and talent development across a global banking organization.

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.

Design, build, and maintain highly scalable, reliable observability platform components. Lead architecture, debug distributed systems, reduce technical debt, and elevate engineering quality through testing and code reviews. Mentor junior engineers, collaborate with product teams, and integrate AI tooling to enhance platform capabilities.

As a Software Engineer Lead, you will design and develop AI solutions, lead tech teams, and ensure high-quality NLP capabilities. You'll integrate AI services into enterprise platforms and guide best coding practices.

Design, code, test, and maintain applications using Kotlin, Rust, and SwiftUI. Implement ATDD and CI/CD, build API integrations and microservices, manage application lifecycle and project planning, conduct code reviews and debugging, collaborate with clients, and apply analytical thinking for business process improvements.

Lead enterprise deployment, governance, and operations for Microsoft Copilot and Power Platform across M365. Manage tenant controls, licensing/credit governance, AI risk/compliance, Microsoft vendor relationships, SharePoint/OneDrive content readiness, and analytics/reporting. Partner with architects, Security, Legal, Procurement, and business stakeholders to ensure secure, compliant, and adopted AI platform operations.

Lead full-stack web development on GCP to build AI-powered search and discovery experiences. Design and implement web apps, services, and indexing pipelines, optimize performance, automate CI/CD and testing, mentor engineers, collaborate with product and ML partners, and productionize search/recommendation capabilities.

Lead a team building cloud-native, full-stack microservices and AI-enhanced risk management solutions. Design, deliver, and mentor on scalable AWS-based systems using modern web stacks and generative AI tooling to meet regulatory and business needs.

The Senior Backend Engineer will design, build, and scale AI-driven operations, manage the product lifecycle, and implement AI technologies while ensuring data security and system performance.

Design and build scalable automation for marketing content and sites. Develop maintainable, testable software, apply AI-native engineering practices, and use telemetry and feedback to improve performance and user outcomes. Implement security, reliability, compliance, deployment, and monitoring best practices for marketing applications while collaborating with stakeholders and promoting engineering principles across teams.

Develops, tests, debugs, integrates, and maintains software applications and system components. The role delivers new features, enhancements, incident resolution, code reviews, quality improvements, and technical solutions aligned with business and architecture requirements. It collaborates with technology partners and stakeholders, supports deployments and production operations, documents system designs, and identifies automation and process improvements. The position also contributes to risk management, continuous improvement, mentoring, and knowledge sharing within the engineering team.

Build and maintain Palantir Foundry data pipelines, ontologies, applications, workflows, and decision-support capabilities for defense missions. Translate stakeholder needs into technical architectures, integrate structured and unstructured data, troubleshoot production systems, and support client deployments. Collaborate with engineers, analysts, product owners, and mission stakeholders while applying testing, version control, documentation, and deployment best practices. The role requires client-site travel and eligibility for a Secret clearance.

Leads research systems and business analysis for pharmaceutical drug discovery. Partners with scientists to gather requirements, evaluate buy-build-integrate options, define C# software solutions, and coordinate architecture, testing, deployment, training, and support. Manages resources, timelines, prioritization, data integrity, compliance, post-implementation reviews, enhancements, defect analysis, and value metrics. May supervise team members and provide technical direction across Research and Enterprise IT.

Owns the technical design, development, maintenance, and operations of software products for CMS’s QMARS healthcare systems. Researches technologies, develops proofs of concept, mentors engineers, enforces team processes, and contributes to modernization using Python, React or Angular, TypeScript, and AI technologies. The role requires prior supervisory or lead experience and supports a remote-first team serving public health and healthcare quality improvement programs.

Leads a diverse software engineering team developing complex system software and tools. Manages headcount, budgets, schedules, project delivery, vendor partnerships, risks, and process improvements. Collaborates with technical, program, executive, and AI teams to integrate AI innovations into products and processes. Oversees hiring, coaching, performance management, and career development while providing technical guidance and ensuring high-quality, on-time execution aligned with organizational roadmaps.