Top Software Engineer Jobs

Leads architecture, development, and deployment of agentic workflows for banking use cases. Integrates agents with core banking systems, databases, microservices, and event streams. Establishes security controls, mentors engineers, conducts code and architecture reviews, assesses risks, and contributes to enterprise agent blueprints and reusable components.

Open application for future opportunities at a growing AI company, primarily across software development and sales. Potential technology roles include Clojure development, machine learning engineering, data engineering, DevOps, security engineering, and product design. Commercial opportunities include account executive and customer success positions. The company offers flexible work arrangements, professional growth, AI and deep learning exposure, competitive compensation, benefits, and six weeks of holiday.

Leads full-stack application development for BNY’s AI Hub Engineering team. Responsibilities include designing, developing, testing, integrating, securing, modernizing, and maintaining scalable front-end and back-end systems. The role advises business and IT leaders, resolves complex technical issues, supports enterprise technology strategies, conducts code reviews, mentors engineers, manages technical debt, and presents technology solutions to stakeholders.

Build and maintain premium mobile features, subscription and in-app purchase flows, paywalls, pricing experiences, and advertising functionality for Life360’s consumer app. Own feature quality, performance, reliability, experimentation, and incident response at 100M+ user scale. Collaborate with product, design, data science, and analytics teams; use AI coding agents extensively; contribute to architecture and code reviews; mentor engineers; and help evolve AI-native engineering practices.

Build challenging AI coding tasks from familiar repositories, including task briefs, correct solutions, grading checks, stress tests, and model evaluations. Revise tasks through quality review and produce work suitable for training and assessing AI coding models. Requires at least 10 hours weekly and strong software engineering, testing, repository, and AI coding tool experience.

Build scalable distributed services, APIs, and high-scale data platforms for Microsoft Commerce Platforms. Responsibilities include architecture modernization, data pipelines, reliability, observability, AI and machine learning applications, LLM capabilities, experimentation, production operations, technical mentoring, and cross-functional collaboration. The role is onsite three days per week in Redmond, Washington, and supports commerce experiences involving offers, pricing, transactions, and related platform capabilities.

Evaluates AI coding-agent interactions for technical quality, engineering judgment, reasoning, explanations, and user trust. Provides detailed written and recorded feedback, distinguishes response quality levels, and helps define standards for tools such as Codex, Claude Code, and Cursor. This remote contract requires strong TypeScript, JavaScript, or Python experience, familiarity with AI-assisted development workflows, and senior-level engineering judgment.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.

Design, develop, test, document, troubleshoot, and debug complex software for semiconductor equipment components and devices. Define software specifications and test plans for simulators, test benches, and laboratory environments. Analyze requirements, implement bug fixes, communicate with internal and external customers, and contribute to machine learning and AI-driven software solutions.

Leads development of secure, scalable payment applications using Java, Spring Boot, microservices, AWS, Terraform, and CloudFormation. Designs, codes, tests, debugs, and reviews production software; improves resiliency, automation, and operational stability. Drives responsible adoption of AI-assisted engineering tools, evaluates technical solutions with vendors and internal teams, and mentors software engineers within an agile environment.

Leads the architecture and delivery of large-scale ETL/ELT pipelines, data lakes, distributed Spark workloads, and Java-based services. Designs data quality, governance, lineage, observability, security, and performance-tuning practices. Develops REST APIs and integration components, promotes AI-assisted engineering practices, and drives technical delivery across cross-functional teams. Requires deep Java, Python, big data, Spark, data lake, warehouse, and software engineering expertise, with preferred experience in orchestration, streaming, ACID table formats, production operations, and regulated environments.

Design and implement backend and systems-level software for defense and intelligence applications. Integrate machine learning and signal-processing algorithms into real-time systems, transition models into field-ready applications, collaborate with domain experts, and build extensible software solutions for complex customer requirements.

Develop and transition advanced OPIR data-processing algorithms for infrared sensing and space-based missile warning systems. Responsibilities include evaluating processing pipelines, troubleshooting anomalies, supporting technical documentation and transition plans, and collaborating with government, intelligence, research, and industry partners. The role requires expertise in EO/IR signal processing, infrared phenomenology, OPIR data formats, Python development, and AI/ML applications.

Develop and transition advanced OPIR data-processing algorithms for infrared sensing and space-based missile warning systems. Troubleshoot processing pipelines, diagnose sensor and software anomalies, analyze OPIR data, and support technical documentation and transition planning. Collaborate with NGA, Department of Defense, Intelligence Community, research organizations, and external agencies on next-generation sensing technologies.

Leads a global engineering organization of approximately 100 employees across application development, data engineering, platform engineering, AI, and technical operations. Defines engineering strategy, modernizes platforms, improves delivery, quality, security, reliability, and operational excellence, and drives responsible AI adoption. Builds leadership capacity, scalable processes, architecture discipline, and technical talent while partnering with product, data, security, operations, clients, and executives to connect technology investments with business outcomes.

Develop and maintain full-stack applications using Java, Spring Boot, React, and TypeScript. Build REST APIs, microservices, cloud-native solutions, and generative AI capabilities involving LLMs, RAG, and AI agents. Participate in the full software development lifecycle, including testing, deployment, monitoring, and production support. Collaborate with cross-functional teams while following secure coding, DevOps, CI/CD, cloud operations, risk, compliance, and AI governance standards.

Develop and maintain backend features for Guidewire’s application platform and AI services. Build secure, scalable web services using AI coding tools, collaborate on platform operations, write tested code, participate in code reviews, and contribute to AI, cloud, and data platform adoption. Work with LLMs, RAG, vector databases, AI agents, MCP, Kubernetes, and infrastructure as code while supporting continuous improvement and developer experience.

Leads full-stack software engineering within JPMorgan Chase’s supply chain technology team. Responsibilities include designing, developing, testing, debugging, and maintaining secure, scalable production systems; advancing AI-assisted engineering practices; automating recurring issue remediation; ensuring application resiliency and security; and evaluating vendor and internal technology solutions. Requires strong software development, cloud-native, agile, financial-services technology, and responsible AI expertise.

Design, build, deploy, and support production-grade integrations between the Blue Machines platform and client systems. Develop API, cloud, and AI/LLM integrations; collaborate with clients on deployment, debugging, and optimization; and automate, document, and monitor workflows. The role requires Python or Java backend experience, cloud expertise, web technologies, authentication protocols, AI/LLM familiarity, and strong problem-solving and communication skills.

Build and own Android growth and monetization experiments across subscriptions, pricing, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, manage staged rollouts, monitor performance, and act on results. Use AI tools throughout development, contribute to Android architecture and engineering practices, participate in on-call support, mentor engineers, and help scale reliable mobile experiences to tens of millions of users.

Develop and deliver secure, AI-enabled, cloud-native full-stack solutions for lending platforms. Build APIs, integrations, reporting capabilities, and applications using Azure, .NET, Python, React, SQL, and ETL technologies. Apply Prompt Engineering, MCP, and RAG patterns; implement CI/CD pipelines; support observability, governance, security, and compliance. Collaborate with architects, business partners, QA, and engineers, participate in reviews, guide junior developers, and maintain technical documentation.

Teach Upper School technology and computer science courses, including programming, AP Computer Science, CAD/CAM, cybersecurity, fabrication, and artificial intelligence. Develop engaging project-based instruction, assess student learning, integrate technology across the curriculum, and collaborate with the Educational Technology Department. Communicate with students and families, advise students, participate in school committees and events, pursue professional development, and maintain a safe, inclusive classroom environment.

Build and ship marketing sites, landing pages, and microsites across five product brands using AI coding agents. Maintain distinct brand identities, reusable design systems, SEO foundations, information architecture, and frontend quality. Review and correct AI-generated code, copy, and design; conduct competitive research; manage cross-brand component decisions; and use browser inspection and screenshot-based critique loops to deliver production-ready work.

Lead the technical vision and architecture for AI-powered developer productivity tools and Agentic SDLC solutions. Partner across product, design, and engineering to define roadmaps, guide complex systems design, prototype strategic technologies, and drive scalable organizational adoption. The role requires hands-on technical leadership, cross-functional collaboration, developer productivity measurement, and expertise in AI development tools, AWS infrastructure, enterprise security, high availability, and cost optimization.

Build and ship end-to-end product features across Rails, React, and Python. Lead execution cadence, unblock teammates, manage scope, and drive releases. Use generative AI tools for development while maintaining quality. Partner with product, design, and GTM teams to turn customer feedback into improvements. Own product areas, improve reliability and performance, and iterate rapidly based on customer usage.