Top Software Engineer Jobs

A 12-month graduate program with two rotations developing software solutions across big data, AI, SRE, DevOps, cloud, and security engineering. Responsibilities include writing specifications, coding, code reviews, bug fixes, test-driven development, requirements analysis, troubleshooting, data modeling, and collaboration with stakeholders. Participants receive mentorship, training, and experience with AWS and Azure. Applicants must complete a computer science-related bachelor’s degree between May and December 2026.

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.

Develop and optimize distributed AI workloads across multi-GPU and multi-node NVIDIA platforms. Responsibilities include cluster bring-up, benchmarking, debugging, root-cause analysis, failure attribution, automation, acceptance testing, runtime tuning, and performance analysis for training and inference workloads. The role collaborates across framework, systems, and platform teams to improve reliability and scalability of large-scale AI infrastructure.

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.

Develops, configures, tests, integrates, and supports ServiceNow solutions, workflows, applications, and ITSM capabilities. Applies generative AI, machine learning, and intelligent automation knowledge to design and implement AI-enabled ServiceNow solutions. Translates business requirements into technical designs, supports upgrades and production incidents, contributes to proofs of concept, performs troubleshooting and root cause analysis, and participates in on-call support, code reviews, and continuous improvement.

Develop and support secure, cloud-native applications on Microsoft Azure while building AI-powered solutions with Azure OpenAI, AI Services, and Machine Learning. Integrate Azure applications with core banking and enterprise platforms, create CI/CD automation, and drive intelligent process improvements. Collaborate with stakeholders and Scrum teams, participate in architecture and code reviews, and ensure scalable, compliant, high-performing solutions in a regulated financial services environment.

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.

Direct the architecture, development, and delivery of AI-enabled client applications across mobile, desktop, and embedded platforms. Lead a team of 5–8 senior engineers while remaining hands-on with production code, architecture, performance optimization, multimodal AI integration, streaming interfaces, offline resilience, security, telemetry, and release planning. Build modular client frameworks that support distributed engineering contributions across Cisco’s MyAgent enterprise AI platform.

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.