Top Software Engineer Jobs

Software development intern supporting AI-assisted engineering with Codex, Claude Code, GitHub Copilot, and similar tools. Responsibilities include directing coding agents, implementing features, debugging, refactoring, writing automated tests, reviewing AI-generated code, documenting reusable workflows, measuring productivity outcomes, and participating in Agile development. The role requires hands-on software development and agentic coding experience, with preferred knowledge of multiple programming languages, APIs, databases, cloud platforms, and healthcare technology.

Design and build secure, scalable, cloud-native, AI-enabled enterprise applications. The role requires hands-on architecture across .NET, React, Next.js, Azure, microservices, micro-frontends, distributed systems, and modern AI/LLM solutions. Responsibilities include system design, architecture patterns, secure development, authentication and authorization, and implementation using AI coding agents and related technologies.

Builds and ships user-facing product experiences and integrations using low-code, no-code, and AI-assisted development tools. Translates stakeholder needs into maintainable solutions, integrates platform services and APIs, applies authentication, security, privacy, and compliance controls, and partners with Product, Architecture, DevOps, Security, and QA. The role also defines testing, telemetry, documentation, runbooks, acceptance criteria, and post-launch product health metrics.

Lead Unity architecture and build persistent, multi-user spatial systems for mobile and wearables. Design spatial persistence, synchronization, AI-assisted content pipelines, and define long-term platform direction as a founding technical contributor.

Design and build the distributed systems layer powering a spatial computing platform: real-time coordination, persistent world state, APIs, AI platform infrastructure (vector search, retrieval, agent orchestration), and scalable services to support many concurrent users and third-party developers.

Leads enterprise software architecture and hands-on development for complex strategic initiatives. Designs scalable microservices and micro frontend systems, develops cloud-agnostic applications, integrates AI/ML models and RAG capabilities, and establishes DevSecOps practices. Drives proofs of concept, technology innovation, solution engineering, and cross-functional delivery. Leads, mentors, and inspires engineering teams while partnering with architecture, product, business, data science, and IT stakeholders to deliver secure, high-quality solutions.

Develops scalable applications that transform complex data into mission capabilities. Collaborates with data scientists and mission analysts to prototype, build, integrate, test, deploy, and maintain analytic tools in enterprise environments. Applies software development, data science, machine learning, distributed data processing, and Agile practices to deliver reliable applications and improve mission workflows.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.

The Grid Engineer designs and supports grid infrastructure for EDA workflows, enhancing performance and collaborating with engineering teams.

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.

Develop and maintain business web applications for a government customer as part of an Agile team. Responsibilities include gathering requirements, designing and coding software, implementing business logic, developing web API interfaces, conducting unit and formal testing, managing configuration changes, estimating enhancements, troubleshooting production issues, and supporting user documentation and training.

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.

Architect and deploy distributed simulation environments for aerospace systems and constellation-level modeling. Build data pipelines to process, analyze, and visualize large simulation datasets; derive engineering and mission insights through statistical analysis and data modeling; optimize HPC and cluster infrastructure; translate mission requirements into scalable architectures; and integrate complex simulation ecosystems across subsystems and analytical tools.

Build and operate MeritFirst’s assessment and hiring platform, including candidate and employer experiences, assessment delivery and evaluation systems, workflows, infrastructure, and AI-enabled features. Own problems end to end from product discovery and system design through deployment, debugging, observability, and iteration. Develop reliable, interpretable, auditable, secure, privacy-conscious software, improve technical foundations, and help establish engineering standards as the company scales.

Develops and maintains web applications for a government customer within an Agile team. Responsibilities include requirements analysis, software design and coding, business logic implementation, API integrations, unit and formal testing, configuration change control, production troubleshooting, cost estimation, impact analysis, and user training support. The role uses front-end and back-end technologies, AWS cloud services, and collaboration with analysts, UI/UX developers, testers, project leads, and customers.

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.

Lead and grow an iOS and Android engineering team responsible for Coupang’s search and discovery mobile experiences. Set architecture and technical direction, collaborate with backend and machine learning teams, integrate ML-powered features, lead design reviews, and own performance, quality, and experimentation standards. Mentor engineers, improve team processes, and deliver high-impact features for a high-traffic e-commerce application.

Build AI-native products and ventures from zero to one in a fast-paced, in-person venture studio. Shape product strategy, validate user problems, make foundational architecture and tooling decisions, prototype and ship quickly, and collaborate closely with designers, researchers, strategists, and venture leaders. The role requires strong technical judgment, product thinking, comfort with ambiguity, emerging-technology awareness, and ownership of business and user outcomes.

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.

Lead enterprise architecture and engineering strategy for AI-native, cloud-native platforms. Define AI-enabled patterns, governance, and guardrails; drive platform modernization, CI/CD, IaC, automated testing, reuse-first engineering, and mentor architect-engineers while ensuring security, resiliency, and auditability.

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.

Leads Okta’s AI Takeoff engineering team, translating enterprise customer needs into production AI capabilities. Responsibilities include technical strategy, architecture, roadmap execution, customer escalations, executive customer engagements, cross-functional collaboration, and hiring, mentoring, and managing a high-performing engineering team. The role balances rapid customer-driven delivery with security, reliability, scalability, and long-term product quality.

Leads development of microservices-based, real-time software for a mission-critical air traffic automation platform. Designs enterprise data solutions, mentors developers, guides Agile/SAFe delivery, integrates databases, messaging systems, and APIs, and applies CI/CD, DevSecOps, automated testing, and AI-assisted development practices. Collaborates with systems engineering, product, QA, DevOps, and platform teams to deliver reliable, secure, high-performance software.