Top Software Engineer Jobs

Develop and integrate software for advanced aerospace and defense electronics, including software-defined radios, avionics, and electronic warfare systems. Responsibilities include coding, debugging, software and hardware integration, regression testing, requirements testing, and participation across the software lifecycle. The role includes project rotations, mentorship, technical training, and collaboration in a hybrid work environment.

Leads and mentors a product engineering organization, setting technical vision, strategy, roadmaps, and measurable goals. Partners with Product, Design, Data Science, Operations, and Engineering teams to deliver scalable, reliable, secure, privacy-conscious products. Oversees distributed systems and product experiences, drives execution across strategic initiatives, develops engineering talent, hires leaders, and communicates priorities and risks to senior stakeholders.

Build and lead full-stack software engineering projects using distributed microservices, cloud platforms, databases, APIs, and modern development frameworks. Provide technical leadership across Agile teams, define architectures and service boundaries, mentor engineers, improve system performance, reduce technical debt, and establish engineering standards. The role emphasizes AWS and other cloud technologies, CI/CD, infrastructure as code, automated testing, observability, open-source frameworks, and AI-assisted development tools.

Leads major cross-department software initiatives from scoping through delivery, establishes technical roadmaps, evaluates technologies through proofs of concept, and guides strategic decisions. Oversees quality assurance, compliance, documentation, standards, and secure software delivery. Mentors teams, manages stakeholders and vendors, supports process improvement, and drives measurable productivity gains. Requires strong software engineering expertise, Java/Spring or Python coding, AWS, Databricks or Snowflake, and experience applying AI in software design.

Leads full-stack software engineering for JPMorganChase’s ATM Channel team. Designs, develops, troubleshoots, and reviews secure production code using Java, Spring Boot, React, AWS, Kubernetes, Kafka, and PostgreSQL. Builds APIs, microservices, event-driven systems, and real-time data solutions while optimizing performance and resiliency. Leads technical evaluations, communities of practice, and responsible adoption of AI-assisted engineering tools. Collaborates within Agile teams and promotes automation, secure coding, testing, and operational stability.

Develops secure, scalable Java software for commercial real estate technology products. Responsibilities include designing, coding, testing, troubleshooting, and maintaining applications and microservices; creating architecture artifacts; analyzing large datasets; and using AI-assisted development tools responsibly. The role requires Java, Python, ReactJS, Spring Boot, REST, cloud, agile, CI/CD, resiliency, and security experience.

Leads software engineering initiatives within an agile team, providing technical direction and delivering secure, scalable production code. Establishes governance for AI-assisted development, code review, testing, troubleshooting, and SDLC automation. Shapes product design, technical operations, engineering standards, and reusable frameworks while serving as a subject-matter expert and coaching senior engineers on responsible AI usage, security, resiliency, and validation practices.

Develops and governs architecture solutions for complex software applications and platforms within Employee Platforms. Responsibilities include system design, secure coding, technical troubleshooting, technology evaluation, architectural governance, AI-enabled engineering patterns, and maintaining application resiliency, security, auditability, and operational stability.

Build scalable, privacy-safe advertising signals and measurement systems for Snap’s ad platform. Lead end-to-end software and infrastructure initiatives involving signal ingestion, identity matching, data pipelines, measurement, and advertiser ROI analysis. Provide technical direction across teams, optimize availability, scalability, performance, security, and cost, and collaborate with product, machine learning, and advertising partners. Mentor engineers and apply modern AI-assisted development practices while delivering reliable production services.

Lead full-stack development for Caterpillar Financial’s Artemis platform using React, TypeScript, Python or Node.js, AWS, and generative AI. Design scalable features, enterprise integrations, reusable engineering patterns, automated tests, and CI/CD practices. Support production deployments, troubleshoot complex issues, guide architecture and security decisions, mentor developers, review code, and translate stakeholder feedback into technical solutions. The role requires building reliable, secure, and compliant AI-enabled workflows in a regulated financial-services environment.

Lead Hex’s context platform engineering team, driving technical strategy, design reviews, hands-on development, people management, and talent recruitment. The role focuses on AI agent behavior, context systems, data-intensive products, and SaaS platforms. The Engineering Lead will establish technical standards, develop engineers, build high-performing teams, and guide the platform’s strategy and execution.

Build and own scalable full-stack mobility platform features across databases, backend APIs, and user interfaces. Collaborate with UX, product, and engineering teams to deliver high-quality experiences for high-throughput environments. Lead projects from inception through production, improve performance and reliability, champion engineering best practices, mentor junior engineers, and evaluate tools and frameworks for continuous platform improvement.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Extend and integrations. Designs scalable frameworks, APIs, security models, automation, and engineering standards. Partners with product, security, business, and engineering teams in Agile delivery, mentors engineers, oversees technical governance, improves workflows, supports production issues, and advances platform modernization through AI, observability, and reusable components.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Extend and integration technologies. Designs scalable frameworks, APIs, security models, automation, and engineering standards; guides Agile delivery across multiple teams; mentors engineers; optimizes workflows and business processes; supports production issues; and drives modernization through AI, observability, reusable components, and continuous improvement.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Workday Extend and integration technologies. Designs scalable frameworks, APIs, security models, automation, and engineering standards; mentors engineers and guides delivery across Agile teams. Partners with business, product, security, and engineering stakeholders to modernize HR technology, optimize workflows, resolve production issues, and improve platform reliability, efficiency, and employee experiences.

Design, build, and ship scalable backend features for Confluence Cloud AI automation and search. Develop RESTful microservices using object-oriented programming languages and work with relational and NoSQL databases in a distributed environment. Collaborate with engineering, architecture, product, and design teams; participate in Agile ceremonies; review code; and ensure reliability, security, performance, testing, documentation, monitoring, and error reporting.

Leads architecture and software engineering for cloud-based applications within JPMorgan Chase’s CTO-IAM organization. Defines target-state architecture, evaluates emerging technologies and vendors, develops and reviews secure production code, troubleshoots systems, and improves operational stability. Establishes reusable AI-enabled engineering patterns and governance across SDLC and CI/CD practices while ensuring resiliency, security, traceability, and auditability.

Lead architecture and implementation of ServiceNow’s AI Control Tower, an enterprise platform for governing AI models, agents, and datasets. Drive products from 1.0 through customer adoption, establish scalable cloud-native and distributed systems foundations, guide AI-native engineering practices, mentor engineers, conduct architecture reviews, and coordinate with product, design, and partner engineering teams. The role requires hands-on technical leadership across SaaS architecture, data platforms, observability, reliability, security, and enterprise AI infrastructure.

Lead integration of autonomy components into reference implementations and deployable stacks. Develop C++ and Python tooling, software-in-the-loop and hardware-in-the-loop tests, platform integration layers, automated fixtures, and troubleshooting workflows. Investigate cross-system failures, support deployment to representative hardware, collaborate on flight testing, analyze integration issues, and create documentation and training materials. The role spans perception, localization, planning, real-time systems, and safety-critical autonomous platforms.

Leads development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Owns the software lifecycle from design and coding through deployment, monitoring, and maintenance. Applies cloud-native architecture, conducts design reviews, builds AI-driven applications, mentors engineers, influences technical decisions, and collaborates with stakeholders to deliver resilient systems and improve developer productivity.

Lead the modernization of Chewy’s fulfillment technology and warehouse management systems. Define architecture, write production code, build resilient cloud and edge systems, develop mobile warehouse applications, establish workflow and integration patterns, and integrate analytics, AI, robotics, and decisioning systems. Provide technical direction across teams, lead design and code reviews, improve engineering practices, and mentor engineers while ensuring high availability, observability, auditability, and operational continuity.

Owns the design, development, and operation of Kubernetes management-plane software for customer-managed AI and HPC infrastructure. Responsibilities include building cluster lifecycle capabilities, Kubernetes controllers and operators in Go, automated provisioning, distributed-system reliability and security improvements, CI/CD and testing, technical leadership, cross-team coordination, mentoring, and production troubleshooting.

The role involves developing advanced computational methods for semiconductor manufacturing, leading innovation, and scaling software for high data processing needs.

Analyzes business processes and systems, gathers requirements, develops reports and system models, and designs software and hardware solutions. The role focuses on intelligent automation, RPA, UiPath, Workbot, IDP, and AI-driven solutions. Responsibilities include troubleshooting, process discovery, automation implementation, database and mainframe analysis, project leadership, and advising junior analysts. Higher levels require programming, network, database, and systems analysis expertise.

Leads the architecture, engineering delivery, modernization, and operations of a multichannel inbound communications platform. Oversees document capture, imaging, OCR, workflow automation, AI-enabled classification and extraction, integrations, security, scalability, and reliability. Establishes technology strategy, standards, APIs, roadmaps, and engineering practices while leading architecture, software, platform, quality, and AI/data teams. Partners with product, operations, sales, security, implementation, and client stakeholders to deliver scalable solutions and reduce technical debt.