Top Software Engineer Jobs

Develop and integrate cloud software, AI/ML capabilities, distributed analytics, and microservices on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java development, cloud deployment, testing, troubleshooting, RESTful services, Hadoop-based big-data processing, infrastructure as code, CI/CD, and Linux systems work. The role requires active TS/SCI clearance with polygraph and one approved cloud developer certification.

Develop and sustain cloud software for cyber intelligence and AI/ML capabilities. Responsibilities include requirements analysis, Java development, distributed systems, cloud deployment, software integration, testing, troubleshooting, analytics development, and technical documentation. The role uses AWS, Kubernetes, infrastructure-as-code, CI/CD, Hadoop technologies, Linux, microservices, LLMs, and RAG frameworks while supporting large-scale data processing and national security missions.

Develop and sustain cloud software for national security missions, including requirements analysis, integration, testing, validation, and issue resolution. Build AWS-based services and distributed systems using Java, Kubernetes, infrastructure-as-code, CI/CD, Linux, and microservices. Integrate AI/ML capabilities, LLMs, and RAG frameworks while supporting large-scale compute clusters, big-data technologies, RESTful services, and cloud security practices. The role requires active TS/SCI clearance with polygraph and collaboration in a mission-driven cyber intelligence environment.

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.

Designs and maintains scalable data pipelines, platform infrastructure, and backend services supporting AI Agent systems. Builds monitoring, alerting, observability, and data-quality capabilities while integrating distributed systems, databases, and message queues. Collaborates with AI, product, DevOps, frontend, and QA teams, and supports existing services to ensure stability and continuity.

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.

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.

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.

Develop and maintain Python-based analytics, automated test orchestration, and scenario-generation pipelines for autonomy simulation. Build adapters in C++/Python, analyze logs/rosbags, deploy distributed orchestration with Terraform/Kubernetes, and create telemetry ingestion and reporting frameworks to validate AI Pilot behaviors across secure and commercial environments.

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.

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.

Build and scale secure, performant backend APIs and core platform services powering Microsoft Copilot. Develop high-quality, tested, maintainable code; collaborate with product managers, designers, data scientists, researchers, and engineers; resolve complex technical challenges; and rapidly deliver AI-powered consumer experiences.

Build AI-assisted, production-ready full-stack applications from concept and prototype through deployment, with a strong frontend focus. Develop accessible React, Vue, and Nuxt interfaces aligned with design systems, implement backend APIs and services, manage SQL and NoSQL databases, and optimize authentication, caching, performance, and scalability. Collaborate with designers and innovation teams while using AI design tools, Figma, specification-driven workflows, and cloud deployment practices.

Lead the design, implementation, and delivery of Box AI chat and agentic experiences across web and mobile applications. Focus primarily on React and React Native frontend architecture, while collaborating with backend engineers on APIs, interfaces, and delivery milestones. Shape product requirements, establish cross-platform development standards, review code, ensure accessibility and performance, monitor evolving AI capabilities, and participate in on-call support.

Build and maintain automation, data, AI, and workflow systems supporting business development and capture operations. Integrate GovDash, Microsoft platforms, CRM systems, federal opportunity sources, dashboards, and AI tools using APIs, workflows, scripts, and data pipelines. Configure proposal and opportunity processes, develop AI/ML workflows for document analysis and retrieval, create executive dashboards, and improve data quality, governance, security, and human-in-the-loop controls. Partner with business development, proposal, contracts, technical, operations, and executive stakeholders.