Top Software Engineer Jobs

The Chief Technology Officer leads application development, data and analytics, quality assurance, technology vendors, technical strategy, budgets, and digital transformation. The role partners with executives and the Head of AI to deliver technology initiatives, adopt emerging technologies, maintain governance and SOX compliance, establish performance metrics, and develop technology talent. The CTO oversees teams and ensures projects support business objectives, customer experience, operational efficiency, and long-term organizational growth.

Develops end-to-end core-system features, including AI-enabled functionality, testing, backend architecture, production monitoring, customer escalation management, code reviews, and collaboration with product managers to translate business requirements into scalable technical solutions.

Leads software engineering and data technology teams, coaching them on Lean, Agile, DevSecOps, DataOps, MLOps, automation, security, data quality, and observability. Drives engineering maturity, continuous improvement, team formation, staffing, innovation, and delivery outcomes. Manages at least five technology professionals, including performance, hiring, development, compensation, and corrective actions. Partners with governance, architecture, analytics, and business stakeholders to deliver secure, trusted enterprise data platforms and solutions.

Design and implement intelligent automation for AV software development, testing, release, and operational workflows. Build CI/CD pipelines integrating simulation and hardware-in-loop testing, develop engineering data pipelines and metrics, and create AI-enabled tools for test analysis, failure classification, defect triage, reporting, and workflow orchestration. Establish evaluation, governance, security, and monitoring standards for AI solutions while improving release readiness, software quality, engineering productivity, and cross-functional visibility.

Lead and contribute to full-stack Java/React development, design secure high-quality production code, drive adoption of AI-assisted engineering, improve automation and operational stability, evaluate vendor architectures, and lead engineering communities of practice while promoting resilient, secure CI/CD practices.

Lead technical delivery for analytics-focused software: design, develop, test, and operate secure, high-quality production code. Drive automation and CI/CD, evaluate vendor/architecture choices, mentor junior engineers, and promote resilient cloud-native solutions within financial services technology teams.

Lead development of secure, high-quality production software for analytics and credit risk; design, code (Python/Java), review, troubleshoot, automate remediation, drive CI/CD and cloud-native solutions, mentor junior engineers, evaluate vendors, and promote new technologies.

Leads architecture and hands-on delivery of complex backend, UI, API, and production AI applications. Owns ADK and LangGraph agentic workflows, establishes engineering standards, drives resiliency and operational readiness, and mentors engineers. Partners across Product, Design, Security, and SRE to deliver secure, scalable systems using Python, React, AWS, FastAPI, databases, CI/CD, and modern software engineering practices.

The role involves leading the Observability Insights initiative at CoreWeave, focusing on developing APIs, agentic tools, and improving telemetry for AI systems. Candidates should possess significant experience in backend engineering and observability systems, especially for multi-tenant environments.

GRVTY seeks students and recent graduates for 2027 internships and full-time roles across software engineering, AI, cybersecurity, data science, robotics, systems, electrical, and mechanical engineering. Candidates will build defense technology, contribute to complex software projects, and gain exposure to classified-environment deployments, government acquisition, and security frameworks. Applicants must be U.S. citizens pursuing or recently completing a relevant degree, available in 2027, and capable of learning quickly across multiple projects.

Design, build, and scale backend systems and microservices for automated chargeback and dispute workflows. Integrate with card networks, banks, and merchants, improve CI/CD, upgrade platform architecture, and own feature delivery and system optimizations.

Summer 2027 software engineering internship supporting AI/ML, big data, and cloud projects. The intern will collaborate with scientists, engineers, and project managers to develop, integrate, and deploy production-grade solutions in an agile, mission-oriented environment. Responsibilities include working with real-world datasets, enterprise-scale systems, multiple software components, and operational end users.

Designs, develops, debugs, and troubleshoots full-stack Java/Spring Boot microservices on AWS. Collaborates in Agile teams, applies CI/CD, works with Oracle and Kafka, uses enterprise AI-assisted coding tools, ensures secure, resilient, and scalable software, and contributes to engineering communities and best practices.

Leads a 45-person employee organization and 50 contractors responsible for USAA’s telematics application strategy, architecture, engineering delivery, vendors, budgets, security, compliance, and modernization. Oversees cloud, mobile, data, AI, machine learning, IoT, and connected-vehicle capabilities supporting insurance pricing, underwriting, claims, fraud detection, and member engagement. Partners with business and technology executives on roadmaps, technical debt reduction, SDLC controls, risk management, and ecosystem relationships.

Develops and maintains web applications for a government customer as part of an Agile team. Responsibilities include gathering requirements, writing software, implementing business logic, integrating web APIs, conducting unit and formal testing, troubleshooting production issues, performing impact analysis, supporting configuration control, and contributing to user training materials. The role uses HTML5, JavaScript, Bootstrap, CSS, C#.NET, SQL, Ruby on Rails, AWS, and AI technologies.

Develop and sustain cloud software supporting cyber intelligence and AI/ML capabilities on large-scale compute clusters and AWS infrastructure. Responsibilities include requirements analysis, software development, integration, testing, validation, enhancement, installation, monitoring, maintenance, and issue resolution. The role involves distributed NoSQL systems, cloud scalability, machine learning, large language models, RAG, agentic workflows, and software engineering in a mission-driven national security environment.

Develop and sustain cloud software and AI/ML capabilities for national security applications. Responsibilities include requirements analysis, Java-based distributed software development, AWS cloud integration, RESTful services, testing, deployment, troubleshooting, and technical documentation. The role works with Hadoop and big-data technologies, Linux, Kubernetes, infrastructure as code, CI/CD, LLMs, RAG, and agentic AI. An active TS/SCI clearance with polygraph and at least five years of software engineering experience are required.

Develop cloud software and AI/ML capabilities on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java software development, RESTful services, distributed systems, cloud integration, infrastructure as code, containerization, testing, sustainment, and issue resolution. The role requires experience with Hadoop and big-data technologies, Linux, software integration, technical documentation, and secure solutions supporting national security missions.

Design, develop, and test software solutions supporting cybersecurity, satellite ground systems, information management, cloud computing, and AI/ML missions. Collaborate in an Agile environment and contribute across requirements, architecture, design, development, and unit testing. The two-year Ignite Innovators program provides technical leadership development and hands-on national security experience, with potential transition to Peraton mission programs.

Develop and sustain cloud software supporting cyber intelligence and AI/ML capabilities on large-scale compute clusters and AWS infrastructure. Responsibilities include requirements analysis, software development, integration, testing, validation, deployment, enhancement, maintenance, and issue resolution. The role involves distributed NoSQL systems, big-data technologies, cloud scalability, AI/ML algorithms, LLMs, RAG, agentic workflows, and software testing within a mission-driven national security environment.

Design, build, and maintain customer-facing digital commerce services (checkout, billing, subscriptions, catalog, cart, orders). Use AI-assisted workflows for coding, testing, review, and documentation. Develop scalable, low-latency APIs and services, improve observability, automation, and engineering practices, and partner with cross-functional teams to deliver reliable solutions.

Leads the design, development, testing, troubleshooting, and delivery of scalable Java software systems for Identity and Access Management. Produces architecture artifacts, applies secure coding and non-functional requirements, mentors engineers, and drives Agile delivery. Leads adoption of enterprise-approved AI-assisted development tools, establishing standards for validation, security, and responsible use. Collaborates with stakeholders, evaluates system dependencies, and implements continuous improvements across software delivery and automation practices.

Designs, builds, and integrates ride-experience platforms and microservices. Develops and improves APIs, performance, monitoring, testing, validation, and documentation. Troubleshoots application and platform issues, contributes to architecture and technology roadmaps, and manages project priorities, deadlines, and deliverables.

Leads Android engineering excellence for Citi’s Mobile App Money Movement domain. Establishes an Android Center of Excellence, defines technical standards, architects scalable Kotlin solutions, drives AI-enabled development, contributes to critical-path code, and oversees design reviews across multiple teams. Manages hiring, performance, mentoring, and talent development while aligning engineering strategy with business goals, security, quality, compliance, and operational excellence.

Join Greenboard’s engineering team in Summer 2027 to build and ship financial compliance software. Responsibilities include developing AI agents for insider-trading detection, scaling message-archiving systems processing tens of millions of messages daily, and designing supporting data infrastructure. The role offers end-to-end feature ownership, customer interaction, and direct collaboration with experienced engineers in a fast-paced startup environment.