Top Software Engineer Jobs

Teach undergraduate computer science and software engineering courses, conduct scholarly research, advise and mentor students, participate in university service, and build partnerships with businesses to support applied learning and internships.

Build and deliver AI-powered customer solutions for strategic clients. Partner with customer technical teams to understand requirements, prototype and ship software, integrate systems through REST APIs, and drive measurable adoption of Fin. Collaborate with Sales, Success, Product, and Engineering teams, provide product feedback, codify implementation best practices, and work onsite with customers as needed.

Develop applications, scripts, automated processes, and enterprise integrations supporting intelligence analysis, data curation, and visualization. Build custom 2D and 3D applications in Unity and ArcGIS, including virtual reality environments. Apply data science, database management, AI, and machine learning techniques to process and integrate large datasets. Coordinate with distributed software development teams and support target teams with file conversion, tool development, and platform integration.

Leads the global Structured Finance Engineering organization, setting technology strategy, modernizing platforms, and overseeing application, platform, quality, and production engineering. The role manages large teams, budgets, transformation programs, risk and regulatory controls, and executive stakeholder partnerships. Responsibilities include cloud adoption, AI-enabled engineering, DevSecOps, CI/CD, observability, SRE, operational excellence, talent development, and delivery governance across critical financial services platforms.

Deploys and integrates software within client organizations, builds relationships with public-sector and enterprise stakeholders, writes production code, incorporates user feedback into product improvements, and drives adoption. The role requires independent planning, frequent travel, client-facing communication, and in-person work in Austin when not traveling.

Lead architecture, development, and operation of highly available distributed cloud systems powering Microsoft 365, Copilot, AI agents, search, retrieval, indexing, and data processing. Drive scalability, reliability, security, performance, and operational excellence; collaborate across teams, improve diagnostics and incident response, shape platform strategy, mentor engineers, and promote engineering best practices.

Develops, tests, deploys, and operates Azure Data product features in highly secured, air-gapped environments. Responsibilities include coding, architecture collaboration, automated testing, incident response, deployment automation, security hardening, telemetry, reliability improvements, and on-call support. The engineer works with partner teams to meet performance, scalability, privacy, compliance, and government customer requirements while using AI tools throughout the software development lifecycle.

Build and operate platform systems that improve the efficiency, reliability, and cost of PayPal’s large-scale Kubernetes environment. Develop production code in Go, Java, and Python; apply machine learning, data analysis, AI, and automation to infrastructure challenges; analyze system performance; collaborate with application and infrastructure teams; participate in operational ownership, root cause analysis, design reviews, and long-term reliability improvements.

Manages software development teams and enterprise application delivery from roadmap planning through execution. Provides hands-on technical leadership, coaches engineers, oversees Agile ceremonies, maintains software quality, manages resources and risks, and partners with Product and Engineering stakeholders. Requires extensive enterprise software delivery experience, cloud expertise, cybersecurity awareness, and proficiency with C#, .NET, Java, or Python. The role requires commuting to the New York City office two to three days weekly.

Leads the technical direction and hands-on development of AI agents, agent systems, and AI products. Designs and codes critical Python components, guides architecture and design reviews, evaluates technologies, manages technical risks, ensures secure and scalable delivery, establishes testing strategies, reviews code, mentors engineers, and partners with business, security, architecture, and platform teams.

The Chief Technology Officer will define and execute the technology strategy, lead a 50+ person engineering organization, and oversee SaaS platform architecture, cloud infrastructure, security, data engineering, AI, software delivery, and compliance. The role partners with the CEO, board, product, customers, and strategic partners while managing technology budgets, acquisitions, organizational growth, platform modernization, and responsible AI transformation. This is an in-office executive position in Overland Park, Kansas.

Lead a small engineering pod of 3–4 engineers while remaining hands-on with coding, code review, debugging, and technical direction. Mentor engineers, support hiring, collaborate directly with 911 dispatch-center customers, and guide product decisions based on user needs. The role is a player-coach position intended to grow into a full Engineering Manager role with broader people-management and strategic responsibilities.

Designs, refactors, tests, and deploys secure PowerShell automation frameworks for Navy Records Management modernization. Processes large datasets, optimizes analytics pipelines, develops dashboards and workflow tools, and improves script performance, scalability, and resilience. The role applies Pester testing, secure coding, role-based access controls, Agile delivery, and data science practices while collaborating with program managers, developers, and Navy stakeholders.

Leads Oura’s Women’s Health software engineering organization, overseeing managers and technical leaders while partnering across Product, Design, Science, Clinical, Regulatory, and Data Science. Drives high-impact consumer software delivery, organizational transformation, engineering strategy, talent development, and AI-native development workflows. The role requires strong technical and product judgment across architecture, data, quality, reliability, privacy, and speed, with responsibility for building a high-performing organization and trusted health experiences.

Leads the design, development, testing, deployment, integration, and support of enterprise applications, databases, reporting systems, workflows, and AI-enabled solutions for Research & Innovation. Manages SQL Server databases, application servers, websites, integrations, data pipelines, and system security. Troubleshoots complex technical issues, implements modernization initiatives, develops dashboards, and provides technical leadership on architecture, security, reliability, and emerging technologies including intelligent document processing and AI agents.

Lead end-to-end delivery of cloud-native, full-stack software initiatives, defining architecture, engineering standards, reliability practices, observability, CI/CD, and secure production operations. Build microservices, APIs, and AI capabilities using LLMs and generative AI. Guide responsible AI-assisted development, lead incident response and continuous improvement, mentor engineers, and align technical priorities across stakeholders and initiatives.

Leads development of full-stack, cloud-native software using Java, Python, and AWS. Builds secure microservices, APIs, and LLM-powered capabilities; establishes engineering, testing, reliability, observability, and CI/CD standards; mentors engineers; drives responsible AI-assisted development; and manages production operations, incident response, and technical direction across agile initiatives.

Provides hands-on technical leadership for enterprise Data Trust platforms. Designs and operates distributed systems supporting data contracts, metadata, lineage, quality, privacy, access controls, reliability, and semantic context for analytics and AI. Leads batch and streaming capabilities across Snowflake, AWS, and Kafka; establishes observability, SLOs, automated enforcement, and operational rigor. Drives cross-functional architecture and multi-quarter initiatives while mentoring engineers and building reusable platform standards.

Leads development of secure, scalable, cloud-native microservices applications for banking payments. Designs, builds, tests, debugs, and reviews production software using Java, React, distributed systems, and modern architectural patterns. Drives automation, resiliency, continuous delivery, technology modernization, and engineering best practices while mentoring colleagues and contributing to cross-team communities of practice.

Leads software engineering and quantitative development for asset management technology, building secure, scalable systems supporting research, portfolio management, and investment workflows. Develops and reviews production code using Java and/or Python, applies AWS cloud-native practices and infrastructure as code, improves operational stability, and promotes responsible AI-assisted engineering. Partners with stakeholders and vendors on architecture and technical solutions while supporting data engineering, distributed processing, databases, and financial services applications.

Leads globally distributed software engineering teams responsible for Axon’s core cloud infrastructure platform. Defines technical strategy and architecture across infrastructure as code, compute, networking, observability, reliability, security, and developer experience. Partners with Product, Security, and engineering leaders to deliver scalable systems and customer outcomes. Oversees engineering managers and technical leads, develops talent, drives AI-native engineering practices, and builds a culture of accountability, learning, and high performance.

Leads AI-assisted software development adoption and engineering modernization across SecDevOps teams. Oversees microservices, API integration, data modernization, automation, technical debt reduction, scalability, and cross-team coordination. Develops modernization roadmaps, tracks productivity improvements, identifies delivery risks, and communicates technical progress to executives. Requires strong software architecture, AI development tooling, engineering transformation, technical leadership, and communication experience.

Design and deliver Salesforce software solutions, including coding, testing, reviews, and quality assurance. Apply AI and automation to reduce operational overhead, validate AI-generated output, and improve workflows. Coach teammates on Salesforce best practices and AI-first problem-solving. The role requires Salesforce certifications and enterprise administration experience, with an opportunity to support access governance concepts such as least privilege and just-in-time access.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Lead the company-wide engineering organization and technical strategy while remaining hands-on with architecture, coding, and code reviews. Own AWS infrastructure, reliability, security implementation, cloud costs, disaster recovery, and incident response. Partner with security, product, and business stakeholders to deliver scalable fintech, digital asset, and AI solutions. Manage budgets, vendors, engineering processes, technical debt, hiring, and organizational development.