Top Software Engineer Jobs

Leads platform architecture and cross-company engineering initiatives for Sentry. Responsibilities include translating business strategy into scalable technical designs, aligning technical roadmaps, driving cross-functional projects, reviewing architecture, mentoring senior engineers, and improving system scalability and operational quality. The role requires deep distributed systems and cloud infrastructure expertise, including Kubernetes, Terraform, Kafka, streaming frameworks, databases, storage, and caching.

Design, develop, test, deploy, and maintain scalable software applications. Responsibilities include writing quality code, troubleshooting production issues, contributing to architecture and technical direction, participating in the full software development lifecycle, mentoring junior engineers, and optimizing application performance, scalability, and security.

Develops and maintains software solutions across full-stack applications and infrastructure. Responsibilities include hands-on Java and Python coding, Kafka and API development, database work, CI/CD pipeline maintenance, testing, troubleshooting, system design, and translating business requirements into technical solutions. Works in Agile teams, follows security and development standards, supports production systems, estimates project work, and mentors junior associates.

Design, develop, and maintain scalable GraphQL APIs and data solutions using TypeScript, cloud platforms, databases, and caching technologies. Lead multi-product development, automated testing, DevOps, CI/CD, code reviews, troubleshooting, and project delivery. Collaborate with architects, product managers, designers, and engineers while providing technical leadership and mentorship. Apply modern infrastructure, containerization, workflow, and software engineering practices to ensure reliable, maintainable, high-quality systems.

Develop, maintain, and enhance mission-critical software applications using object-oriented design and SOLID principles. Participate in code reviews, support legacy .NET Framework applications, contribute to application design, triage production issues with senior developers and DevOps, document work, and collaborate within an Agile development team. The role requires an active Secret clearance and Security+ certification within 60 days.

Integrates software components and subsystems within complex system-of-systems environments. Troubleshoots software, interfaces, builds, configurations, and integration issues; supports deployments, testing, verification, and system performance. Develops and debugs software, scripts, documentation, and installation manuals while applying software standards and lifecycle processes. Requires Windows and Linux administration, scripting, Atlassian tool experience, software integration expertise, and an active DoD Secret clearance.

Owns architecture and design for enterprise-scale software systems, including full-stack products, secure data pipelines, microservices, serverless platforms, and event-driven architectures. Partners with product, technology, and engineering leadership to translate requirements into scalable solutions, document systems, guide architectural standards, mentor technical staff, and diagnose performance, reliability, and security issues. The role is based in Irvine with in-office work Monday through Thursday and remote work Friday.

Develop and maintain full-stack web applications, workflow automation, dataflows, and analytic tools supporting intelligence operations. Collaborate with analysts, operators, developers, and customers to identify inefficiencies, iteratively deliver solutions through CI/CD, gather feedback, and improve mission workflows. Work in Linux environments with relational databases and potentially JavaScript, Python, Svelte, observability tools, open-source platforms, and cryptography.

Design and implement complex backend and systems-level software for defense and intelligence applications. Integrate machine learning and signal-processing algorithms, transition models into real-time field systems, architect and integrate software systems, prototype algorithms, and translate customer requirements into extensible solutions.

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.

Design, develop, and deploy scalable web applications and services. Lead architecture discussions, own projects, and deliver high-quality software. Develop Java and Spring microservices using Python and CI/CD, work with SQL and NoSQL databases, and use AWS and Google Cloud services. Collaborate with security and compliance teams, participate in Agile development, and contribute to engineering tools, cloud technologies, testing, code reviews, maintenance, and cross-functional initiatives.

Develop and maintain advanced iOS applications using Swift, UIKit, and SwiftUI. Build features, conduct A/B tests, manage application state, modularize functionality, write automated tests, monitor analytics and performance, review architecture and code, and troubleshoot production issues. Collaborate with engineering, product, design, platform services, and release management teams to deliver high-quality mobile experiences.

Build and maintain high-quality backend software for a SaaS third-party risk management platform. Own loosely defined features from technical design through delivery, develop and optimize REST APIs, work with Python frameworks, cloud infrastructure, CI/CD pipelines, and container technologies, and contribute to continuous engineering improvements. Preferred work includes coding agents, database modeling, big data systems, search technologies, and AI-assisted development tools.

Build and scale the platform powering Wayve’s data flywheel and foundation-model stack. Responsibilities include developing large-scale data curation, enrichment, evaluation, training, and serving infrastructure; implementing distributed processing, vector search, lakehouse, dataset versioning, and annotation systems; and transforming manual workflows into reliable self-service products. The role requires production ownership, observability, testing, on-call support, and close collaboration with Applied Scientists and ML Engineers.

Own the end-to-end design and delivery of internal applications, backend services, integrations, AI agents, workflows, and enterprise knowledge infrastructure. Partner with business stakeholders and technical leadership on architecture, production deployment, cloud infrastructure, observability, and reliability. Build LLM-based applications using agent frameworks, MCP, tool calling, retrieval systems, vector stores, and knowledge graphs. Operate with high autonomy while creating durable, reusable technical patterns.

Lead development and testing of a scalable, geo-distributed database solution. Responsibilities include optimizing performance, concurrency, replication, sharding, data storage, networking, failure recovery, high availability, and consistency algorithms. The role involves troubleshooting distributed systems, profiling Java applications, collaborating globally, reviewing code, contributing to open source, and managing Software Engineers.

Develop and maintain web applications, workflow automation, and dataflow solutions supporting intelligence operations. Collaborate with analysts, operators, developers, and customers to identify inefficiencies, iteratively deliver solutions through CI/CD, and incorporate real-time feedback. The role requires full-stack web development, relational database experience, Linux development, cross-domain solutions, customer communication, and familiarity with Atlassian tools and AI-assisted development.

Designs, develops, tests, deploys, and supports cloud-based backend services, REST APIs, and connected-device platform components. Owns moderately complex features through production, troubleshoots distributed systems, improves reliability and observability, and contributes to architecture. Collaborates across product, QA, operations, firmware, mobile, and engineering teams while participating in code reviews, mentoring, incident response, and technical improvements.

Designs and leads scalable Python software systems supporting U.S. Government missions. Responsibilities include architecture, distributed systems, cloud-native Kubernetes deployments, CI/CD automation, observability, reliability, troubleshooting, testing, and operational excellence. The role provides technical leadership and mentorship while collaborating with engineers and mission stakeholders. Candidates must hold an active TS/SCI clearance and bring extensive production software engineering experience, cloud expertise, and strong system integration skills.

Designs, develops, tests, debugs, and maintains scalable software and architectures supporting secure government and defense systems. The role involves modernizing software, analyzing requirements, collaborating with software, systems, cyber, test, hardware, and architecture teams, applying engineering best practices, and supporting customer installations, upgrades, and maintenance. Work includes DevSecOps, Agile development, cross-domain solutions, Linux-based applications, and compliance with stringent security requirements.

Build and maintain scalable full-stack healthcare software in collaboration with clinicians, operators, and product managers. Own solutions from understanding business problems through delivery and measurement, make independent technical and product decisions, incorporate AI agents, and improve development practices through testing and documentation. The role involves developing and refactoring complex distributed systems while connecting engineering work to user and business outcomes.

Build production-grade Java software and AI-enabled systems. Design backend services integrating LLMs through external APIs, develop observability for long-running AI jobs, evaluate human- and AI-generated code, and create automated testing and quality tools. The role also involves designing structured prompts, consuming REST APIs, working with AWS services, maintaining CI/CD pipelines, creating Docker images, and collaborating in a monorepo environment.

Own the full software lifecycle for Linux-based applications across on-premises and AWS environments. Lead modernization of legacy systems, develop across Python/Django and PHP/Laravel stacks, manage cloud infrastructure, design integrations, and support data exchange. Provide technical leadership through architecture, code reviews, DevOps, testing, observability, security, troubleshooting, and KPI ownership while collaborating with stakeholders, customers, and partners.

Leads the evolution and governance of WGU’s Salesforce ecosystem through hands-on engineering, architecture implementation, integration design, security and compliance standards, data-model governance, platform health assessments, and technical mentoring. The role establishes engineering and DevOps standards across teams, supports emerging Salesforce capabilities, manages technical debt and enterprise architecture decisions, and aligns technical strategy with product, operations, and academic stakeholders.

Develop UI software for specialized communications products, collaborating across hardware, RF, software, and FPGA teams. Responsibilities include requirements analysis, design, coding, model training and evaluation, documentation, hardware interaction, debugging, testing, and validation. The role requires embedded software expertise, high-quality development practices, adaptability, and communication across engineering disciplines. Products support government and private-sector applications.