Top Software Engineer Jobs

Leads growth engineering for Hiya’s web presence, translating marketing strategy into high-converting experiences. Responsibilities include migrating Webflow to a headless CMS, architecting React and Next.js systems, optimizing performance and SEO, implementing analytics and experimentation, integrating AI and third-party APIs, and scaling localized websites across global markets. The role owns website KPIs, attribution, conversion optimization, accessibility, and collaboration across marketing, product, CRM, and PLG initiatives.

Leads development of secure, scalable data and AI platform solutions, including batch and real-time pipelines, ETL/ELT workflows, data modeling, governance, cataloging, lineage, quality frameworks, and semantic layers. Builds Agentic Autonomous Lakehouse capabilities for governed self-service provisioning and operational optimization. Partners with technical and business stakeholders, reviews production code, improves system stability, evaluates architectures and vendors, and promotes emerging technologies across engineering communities.

Lead software engineering for JPMorganChase’s Digital Utilities team by designing, developing, testing, debugging, and operating secure, scalable Java microservices on AWS. Review production code, improve application resiliency, automate recurring remediation, and promote CI/CD and secure development practices. Drive responsible adoption of AI-assisted engineering tools for coding, reviews, testing, troubleshooting, and root-cause analysis. Evaluate vendor and startup technologies, assess architectural designs, and coach engineers on compliant AI usage.

Leads software engineering within an agile Digital Utilities team, designing, developing, testing, debugging, and maintaining secure, scalable Java and cloud-native applications. Reviews code, improves operational stability, automates recurring remediation, and promotes enterprise-approved AI-assisted engineering practices with secure validation standards. Evaluates vendor and internal architectural solutions, coaches engineers on responsible AI adoption, and applies software development lifecycle, resiliency, security, and financial-services technology expertise.

Leads software engineering projects and development teams building full-stack, distributed microservices and cloud-based solutions. Designs and delivers solutions using Java, JavaScript, TypeScript, SQL, Python, Go, AWS, databases, Docker, and Kubernetes. Collaborates with product managers, mentors engineers, stays current with technology trends, and supports regulatory and customer-focused technology initiatives. The role also involves experimenting with AI tooling to improve engineering productivity.

Leads and mentors a backend engineering team building cloud-native provisioning and orchestration services for CrowdStrike’s AI Detection and Response platform. Owns technical vision, architecture, roadmap, reliability, incident response, engineering practices, hiring, and team development. This player-coach role includes approximately 20–30% hands-on coding, collaboration with product and engineering stakeholders, and delivery of scalable distributed systems supporting large-scale security event processing.

As a Software Engineer Lead, you will design and develop AI solutions, lead tech teams, and ensure high-quality NLP capabilities. You'll integrate AI services into enterprise platforms and guide best coding practices.

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.

Lead design and evolution of customer-facing digital commerce systems (checkout, billing, payments, subscriptions, catalog, cart, orders). Use AI-assisted workflows to accelerate coding, review, testing, and documentation while ensuring security and production readiness. Drive architecture and API decisions across modern web apps, improve engineering excellence (testing, automation, observability, DevOps), build reusable patterns, and coach engineers to raise team productivity and technical delivery.

Designs, develops, tests, deploys, documents, maintains, and debugs scalable production software. Serves as technical owner for complex services, collaborates with product and platform teams, translates business requirements into technical solutions, and mentors engineers while balancing quality, performance, and risk.

Design, develop, and operate a production agentic data platform using Spark, Kafka, Airflow, Snowflake and AWS. Write secure high-quality code across frontend and backend, leverage enterprise AI-assisted development and LLMs (Claude Code, agents, RAG, embeddings), build autonomous agents and MCP server components, apply secure/responsible AI practices, troubleshoot systems, and own full-stack application/platform delivery with CI/CD, containers, and observability.

Lead an agile engineering team to design, build, and operate high-scale, secure Java applications and internal developer platforms. Drive adoption of enterprise-authorized AI-assisted development tools, improve observability and reliability (SLOs, alerting), own on-call and incident response, and mentor peers on responsible AI usage and best engineering practices.

The Staff Forward Deployed Engineer at GitLab works with strategic accounts to adopt GitLab and GitLab Duo Agent Platform, guiding technical discovery and building reusable solutions for complex enterprise environments.

Leads full-stack software engineering for JPMorganChase’s Wholesale Credit Risk technology team. Designs, develops, tests, troubleshoots, and reviews secure production code; improves application resilience and operational stability; promotes responsible AI-assisted engineering practices; automates recurring remediation; and evaluates architectures and technologies with vendors and internal teams. The role requires cloud-native development, agile SDLC expertise, financial services knowledge, data architecture, modern front-end technologies, GraphQL, and API development.

Lead development of secure, scalable Java full-stack applications for mortgage technology. Design, develop, test, troubleshoot, review, and debug production code; improve operational stability through automation and remediation. Drive responsible adoption of enterprise-approved AI-assisted development tools, establish validation and security standards, coach engineers, and evaluate vendor and architectural solutions. Collaborate within agile teams using SDLC, CI/CD, resiliency, and security practices.

As an AI Native Software Engineer, you'll build products using AI coding agents, translating customer needs into solutions, and ensuring quality delivery and documentation.

As a Forward Deployed Engineer at Remitly, you will leverage AI agents to build applications, translate customer needs, and evaluate outputs for quality and security, focusing on delivery speed and robustness.

As an Agentic Software Engineer, you'll build and deploy production-grade AI systems, reverse-engineer existing software, guide teams, and facilitate customer discovery.

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring microservices. Drive team adoption of enterprise-authorized AI-assisted engineering practices, produce architecture artifacts, improve code quality via automation and CI/CD, troubleshoot complex issues, and coach engineers on responsible AI and secure coding standards.

Designs, develops, debugs, and delivers secure, scalable software solutions using modern SDLC and agile practices. Leverages enterprise-authorized AI-assisted coding tools, produces architecture and design artifacts, analyzes large data sets to improve systems, and ensures operational stability and secure coding standards.

Lead and deliver secure, scalable Java-based microservice solutions; drive adoption and safe use of enterprise AI-assisted engineering tools; produce architecture and high-quality production code; improve CI/CD, data models, and system reliability while mentoring engineers and contributing to engineering communities.

Lead and contribute to full‑stack AI initiatives for Capital One Shopping. Design, implement, and deliver cloud-based services and AI-driven features, mentor engineers, collaborate with product teams, and evaluate emerging technologies to scale experiences for millions of users.

Build and guide scalable full-stack portfolio management platforms using AI-enabled engineering practices. Define technical direction, architecture, specifications, and delivery plans; design resilient distributed systems; contribute to design and deployment reviews; provide production support with an SRE mindset; mentor engineers; establish governance and quality standards; and collaborate globally with product, engineering, and business leaders. The role emphasizes Java, React, Angular, APIs, event-driven architecture, TDD, BDD, cloud-native platforms, and responsible AI integration.

Design, build, and maintain globally distributed, fault-tolerant backend microservices and data pipelines. Integrate and refine Large Language Models, collaborate cross-functionally, ensure high-quality code, testing, monitoring, and mentor other engineers while owning features end-to-end.

Lead performance architecture and optimization strategies for AI inference services, focusing on maximizing throughput and minimizing latency for advanced models. Mentor the team, collaborate on product features, and maintain expertise in GPU architectures and open-source projects.