Top Software Engineer Jobs

Build full-stack, low-latency trading and pricing tools for options traders. Collaborate with traders, researchers, and business stakeholders to design intuitive frontends and scalable backend services, prototype and productionize distributed systems, and expand trading capabilities globally while improving performance, stability, and usability.

Build and own frontend features for Squarespaces Identity & Access Management systems. Design elegant user experiences for sign-in, sign-up, MFA, passkeys, OAuth/OIDC flows, and integrate with backend identity services while contributing to frontend architecture, testing, and developer experience.

Leads enterprise full-stack software engineering for secure, scalable managed-account platforms. Owns application components across architecture, development, testing, deployment, observability, and production support. Designs distributed cloud-native systems using Java and modern frontend technologies, mentors engineers, improves CI/CD and test automation, and drives responsible adoption of AI-assisted development tools. Partners with cross-functional stakeholders to deliver high-impact initiatives in an agile environment.

Design and build backend services and APIs for identity resolution and graph integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS/Kubernetes with Helm, and ensure reliability, observability, and scalability. Collaborate across engineering, product, and data teams while mentoring junior engineers and advancing distributed identity platform architecture.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Leads software engineering for Connected Commerce, designing, developing, testing, and operating secure Java applications in AWS. Provides technical direction, reviews code, drives AI-assisted engineering practices, and influences product and platform decisions. Requires expertise in ECS, EKS, PostgreSQL, AWS automation, cloud-native development, multi-region deployments, zero-downtime releases, observability dashboards, and responsible AI usage. Coaches engineers and contributes to enterprise engineering standards and practices.

Leads software engineering efforts within an agile infrastructure platform team. Develops, reviews, debugs, and governs secure production code using Java full-stack technologies, React, cloud platforms, containers, and relational databases. Drives adoption of AI-assisted engineering tools, establishes validation and security standards, coaches technical teams, promotes SDLC automation, and influences technology decisions. Balances hands-on development with technical leadership and contributes to an inclusive engineering culture.

Leads the design, development, deployment, and troubleshooting of secure, scalable Java and Python software systems. Builds Spring Boot microservices on AWS, applies distributed-systems and backend infrastructure patterns, and manages observability, testing, resiliency, and security. Uses Spark and SQL for large-scale data processing, guides responsible AI-assisted development, and defines guardrails for production AI agents. Mentors engineers, collaborates with architects and business stakeholders, and drives technical solutions across multiple corporate technology functions.

Develop scalable backend software for NinjaOne’s Mobile Device Management platform, supporting millions of endpoints across iOS, Android, Chrome OS, and Windows. Build Kotlin and Java services, REST APIs, microservices, responsive messaging systems, and cloud deployments on AWS. Apply software design principles, database expertise, caching, asynchronous architecture, and AI-powered development tools while collaborating with engineering teams and industry partners.

Leads the architecture, design, development, integration, verification, and testing of complex software and multidisciplinary space systems. Responsibilities include managing system requirements and architectures, defining operational concepts, leading milestone reviews, mitigating technical risks, improving engineering processes, and mentoring software engineers. The role requires advanced software engineering expertise, scalable system design, algorithmic knowledge, technical leadership, and an active Top Secret clearance.

Leads software engineering for data platform and entitlement solutions within an agile financial services technology team. Designs, develops, troubleshoots, and maintains secure, scalable Java and Spring applications using microservices, Kafka, cloud platforms, and CI/CD. Creates architecture artifacts, develops relational data models, improves system architecture, and promotes responsible AI-assisted engineering practices. Preferred experience includes modern data platforms, Spark, IAM, authorization models, and enterprise AI integration.

Build distributed backend systems for real-time detection, including signal ingestion, data-intensive processing, scalable infrastructure, and production AI/ML integrations. The engineer will own system design and delivery, improve architecture and implementation patterns, and collaborate with technical leadership. The role requires independent execution, strong database and distributed-systems knowledge, and experience with startup environments.

Build full-stack infrastructure for an expert marketplace, including outreach, assessment, interviewing, onboarding, expert profiles, availability, staffing, workflow automation, funnel instrumentation, and recommendation or matching capabilities. The role partners with growth and operations teams to resolve bottlenecks and requires end-to-end ownership of complex production systems.

Own frontend product development for business software, including design-system and frontend architecture evolution, user experience improvements, feature delivery, and development workflow enhancements. Collaborate with product, operations, and nontechnical partners while owning projects from problem definition through delivery. Build dashboards, portals, and user-facing applications using React and JavaScript or TypeScript.

Build and own production software for factory operations, supply chain, quoting, pricing, inventory, production flow, simulation, equipment telemetry, and automation orchestration. Design data models representing physical manufacturing processes, collaborate with hardware and automation engineers, identify product priorities, and independently deliver end-to-end solutions in an onsite industrial technology startup environment.

Develop advanced embedded software for SIGINT, aircraft protection, radar warning, and electronic attack systems. Collaborate with systems, hardware, and test engineers across planning, requirements, design, development, integration, and testing. Produce technical documentation, perform software verification and validation, and lead and motivate technical teams. Preferred work includes automated test development, container deployment in DevSecOps pipelines, algorithm development, and technical or project leadership.

Own backend core systems supporting clinical workflows and machine learning infrastructure. Build and operate ingestion, warehousing, distributed inference, reliability, observability, debugging, capacity planning, CI/CD, and deployment automation. Design secure systems for protected health information, including encryption, access controls, and audit logging. Partner with machine learning engineers on model infrastructure and inference pipelines while leading multi-quarter technical initiatives and balancing reliability, performance, cost, security, and maintainability.

Build backend-oriented internal applications and customer integrations for an AI-enabled medical imaging platform. Develop clinical workflow, peer review, and analytics tools; integrate with PACS, RIS, and EHR systems using DICOM and HL7; support customer onboarding; identify workflow gaps; and deliver product and operations automation. Own medium-to-large projects, make architecture decisions, collaborate directly with customers, and contribute across the full product lifecycle.

Build and ship backend systems and AI-powered product features for healthcare software. Own the full product lifecycle from identifying customer problems and defining requirements through implementation, user-experience decisions, and production release. Collaborate directly with technical leadership and customers, scale production systems, and use AI development tools while maintaining responsibility for software quality.

Build and independently deliver full-stack healthcare software features using Java or Groovy, React and TypeScript, MongoDB, and Kafka. Responsibilities include design, implementation, testing, deployment, production debugging, code reviews, design documentation, dependency coordination, process improvements, and mentoring. The role requires reliable delivery with minimal oversight and collaboration across engineering, product, and QA teams in a remote-first environment.

Build and scale backend-focused systems supporting truckload freight operations, including high-volume carrier quotes, automated transactions, distributed services, and APIs. Design scalable data models and architectures, contribute across the React and TypeScript stack, make key technical decisions, mentor engineers, and collaborate with product leadership. The role also involves developing AI-powered logistics tools and maintaining reliable, secure infrastructure on Kubernetes and GCP.

Build and maintain responsive web experiences, PWAs, and native-feeling mobile apps; design secure APIs and third-party integrations; develop conversational AI bots and support automation; implement ad-tech, segmentation, push notifications, analytics, and A/B testing; and optimize performance, reliability, and uptime. The role requires full-stack development, cloud and DevOps fundamentals, and collaboration in a fast-paced startup.

Designs, develops, and owns full-stack software supporting manufacturing operations, including dashboards, equipment monitoring, MES/RMS integrations, and SECS/GEM automation. Builds C#/.NET applications, SQL data solutions, and REST services; troubleshoots equipment communication and production issues; collaborates with engineering, quality, IT, vendors, and manufacturing teams. Maintains documentation, supports equipment qualification, improves automation and throughput, and provides production support in office, warehouse, and cleanroom environments.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Build and design MongoDB Atlas features and distributed backend systems. Lead complex technical projects, collaborate with product, design, customers, and support engineers, resolve production issues, improve engineering practices, and mentor teammates. The role focuses on foundational orchestration and control-plane infrastructure that operates MongoDB clusters reliably across cloud environments.