Top Software Engineer Jobs

Build and deploy intuitive, scalable frontend product experiences for educators, students, and parents. Collaborate with engineers, product managers, designers, educators, and support teams to develop features, fix production issues, optimize performance, review code, and own modules end-to-end. The role includes mentorship, cross-functional collaboration, frontend infrastructure work, technical knowledge sharing, and continuous improvement in a SaaS environment.

Join an agile team to design, develop, test, and deploy secure enterprise software. Participate in SAFe ceremonies, apply software engineering principles, build automation scripts, promote code reuse, and support the full lifecycle in secure environments.

Leads full-stack software engineering within an agile banking technology team. Designs, develops, tests, debugs, and supports secure, scalable production applications; reviews code and improves operational stability through automation, resiliency practices, and incident remediation. Guides responsible adoption of AI-assisted development tools, coaches engineers on validation and security, and evaluates vendor and architectural solutions. Requires expertise in Java, Spring, JavaScript frameworks, databases, microservices, AWS, CI/CD, and production support.

Leads the design, development, deployment, and support of secure, scalable full-stack applications using Java, Spring Boot, React, and TypeScript. Owns cloud-native microservices, APIs, event-driven Kafka architectures, observability, reliability, and technical architecture decisions. Mentors engineers and establishes quality standards while advancing AI-assisted development, agentic workflows, responsible AI practices, and engineering automation.

Build, deploy, and maintain large-scale backend applications and high-volume, fault-tolerant infrastructure. Own complex projects from discovery through launch, improve system performance, reliability, and scalability, enhance testing and deployment infrastructure, secure sensitive data, and provide technical leadership, mentorship, and cross-functional collaboration.

Build and ship AI-powered full-stack products across backend services, Node.js and TypeScript APIs, and React streaming interfaces. Develop SSE-based responses, conversational UIs, structured AI outputs, persistence, authentication, and resilient asynchronous workflows. Write comprehensive tests, instrument systems, debug production issues, and collaborate with product, design, and platform teams through staged launches. The role requires strong judgment around latency, cost, failure handling, accessibility, and performance.

Design, develop, deploy, troubleshoot, and support enterprise integration solutions using IBM ACE, IBM MQ, Informatica ETL, APIs, databases, and microservices. Build message flows, ESQL transformations, REST and SOAP integrations, API-led solutions, and ETL workflows supporting policy transaction data. Monitor production processes, resolve incidents, manage data quality and recovery, and collaborate with architects, analysts, testers, and downstream consumers. The role is hybrid in Columbus, Des Moines, or Scottsdale.

Build and ship end-to-end product features across an author analytics dashboard, marketing site, free tools, billing, email, and AI-assisted functionality. Design data models and APIs, integrate third-party services, develop production LLM features, and maintain testing, monitoring, performance, and observability. The role includes code review, technical documentation, independent product decisions, and close collaboration with the founder in a remote-first environment.

Design, build, and operate scalable data systems for economic intelligence products. Modernize Hadoop workloads to Databricks and cloud platforms, develop production data pipelines, improve reliability and performance, and establish strong governance and observability practices. The role includes architecture ownership, technical leadership, mentoring, production support, and collaboration with data scientists, engineers, and product managers.

Principal Software Engineer leading avionics software development for airborne traffic, collision avoidance, and surveillance systems. Responsibilities include mentoring engineers, defining requirements, designing and testing software, conducting code reviews, managing risks, engaging customers, and delivering projects on schedule and within budget. The role requires deep software architecture expertise, proficiency in C, C++, and Assembly, and extensive experience supporting avionics, navigation, and airborne surveillance functions.

Leads software engineering for JPMorganChase’s Rates Tech team, designing, developing, testing, debugging, and operating secure, scalable applications. The role includes reviewing code, improving application resiliency, automating recurring remediation, adopting responsible AI-assisted development practices, collaborating with business and technical stakeholders, and evaluating vendor architectures. Preferred expertise includes financial risk platforms, rates products, PnL and risk methodologies, distributed systems, real-time processing, and quantitative finance.

Develops reliable full-stack software and mission-critical applications used across SpaceX. Responsibilities include designing systems, building prototypes, improving operational workflows, addressing user problems, and participating in architecture, design, and code reviews. The role includes ownership across software engineering and product development, with work involving web applications, databases, distributed data processing, deployment, monitoring, and performance optimization. This is an onsite position that may require extended hours during launch periods.

Build scalable data pipelines that transform raw technical and business materials into structured training tasks and evaluations for machine learning systems. Collaborate with researchers and subject-matter experts to define requirements, review samples, develop quality checks, identify flawed or gameable tasks, and investigate delivery issues to improve future datasets.

Designs and operates shared infrastructure supporting engineering and review workflows. Builds distributed services, data pipelines, internal tools, and reliable long-running jobs involving external APIs and remote environments. Investigates incidents, improves performance and resource efficiency, strengthens failure recovery, and establishes engineering standards. The role requires production software experience, large-scale systems familiarity, end-to-end project ownership, sound engineering judgment, and strong initiative. Experience with AI task automation, model serving, or model quality testing is advantageous.

Lead software architecture and development for Honeywell’s Enhanced Ground Proximity Warning System. Own technical decisions, software roadmaps, design standards, risk mitigation, code quality, and architecture for large embedded aerospace projects. Lead and mentor distributed engineering teams, support product-line goals, evaluate platforms and design tradeoffs, and contribute to certification, patents, and future technology insertion.

Own the architecture and technical direction of Metropolis Recognition Platform, spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Design scalable streaming pipelines, rules systems, privacy and consent models, observability, testing, and progressive delivery. Lead RFCs, cross-functional alignment, architectural reviews, mentorship, and production quality across application, computer vision, data, security, platform, and partner teams.

Own the architecture and technical direction of Metropolis Recognition Platform, including edge-to-cloud pipelines, identity resolution, real-time decisioning, privacy and consent models, observability, and progressive delivery. Lead cross-functional alignment across engineering, computer vision, data, security, platform teams, and partners. Establish RFCs, SLOs, testing standards, operational practices, and architectural best practices while mentoring engineers and managing high-scale distributed systems.

Own the architecture and technical direction of a high-volume recognition platform spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Lead streaming pipeline design, privacy and consent models, observability, reliability, testing, progressive delivery, RFCs, cross-functional alignment, and mentorship. Build systems that combine deterministic rules with probabilistic computer vision signals under physical-world deployment constraints.

Leads a team developing and modernizing identity and access management solutions. Responsibilities include building secure Java and Spring Boot microservices, integrating authentication platforms, anti-fraud and biometric solutions, developing REST APIs and UI components, designing authentication data infrastructure, reviewing code, troubleshooting systems, and guiding responsible AI-assisted engineering practices.

Leads development of resilient, scalable features across Toast’s enterprise Sports and Entertainment platform, including backend, frontend, and POS systems. Responsibilities include designing, deploying, testing, monitoring, and maintaining production services; leading complex technical projects; collaborating with Product, Design, Customer Success, Sales, and other teams; mentoring engineers; and using AI tools to improve development productivity.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Develop and operate large-scale distributed backup infrastructure for MongoDB Atlas. Build reliable, performant systems across Go, Java, and JavaScript; troubleshoot production issues; optimize performance against hardware constraints; collaborate with Product and Design; plan and execute major features; and contribute across the full web application stack.

Leads enterprise software engineering excellence by governing AI-assisted development, improving application health, reducing vulnerabilities and technical debt, modernizing software portfolios, embedding secure-by-design practices, and advancing SDLC automation. Mentors engineers, establishes engineering standards, guides responsible AI tool usage, and partners with architecture and security teams to improve application resilience, compliance, maintainability, and delivery outcomes.

Design, develop, and maintain scalable .NET Core applications and AI-enabled workflows for the Global Trust and Agency platform. Build web UIs with Blazor or other front-end frameworks, optimize data models and SQL Server performance, implement serverless Azure Functions, use AI-assisted development tools, and deliver automated testing with Playwright. Participate in Agile processes, CI/CD, code reviews, and continuous improvement.

Leads technical execution of mission-critical software systems supporting advanced analytics, machine learning, and intelligence applications. Responsibilities include requirements definition, architecture, implementation, integration, testing, deployment, sustainment, technical team leadership, risk management, customer engagement, and transition planning. The role oversees systems involving services, APIs, data pipelines, databases, ML integrations, user interfaces, and deployment infrastructure while ensuring reliability, security, performance, and maintainability.