Top Software Engineer Jobs

Lead full-stack software development from design through delivery for Judi Health’s healthcare benefits platform. Partner with product, design, and QA teams to define requirements, build scalable features, provide technical leadership and support, and expand the platform using Python, AWS, React, TypeScript, and PostgreSQL in an Agile/Scrum environment.

Build and enhance Judi Health’s scalable healthcare platform using Python, AWS, PostgreSQL, and infrastructure-as-code technologies. Lead features from design through delivery, collaborate with product, design, QA, and engineering teams, provide technical guidance, and serve as a subject matter expert. Work in an Agile/Scrum environment while writing quality code, unit tests, and supporting cross-functional stakeholders.

Leads a Scrum team developing and modernizing Salesforce Sales Cloud and digital marketing capabilities. Designs scalable, secure solutions, integrates Salesforce with backend systems and portals, oversees deployment and quality standards, collaborates with architects and product owners, supports testing and debugging, and mentors junior developers. Requires extensive Salesforce architecture, configuration, coding, integration, deployment, Agile, and certification experience.

Develop software for electronic warfare and defense systems, including SIGINT, aircraft protection, radar warning, and electronic attack. Responsibilities include backlog prioritization, software design evaluation, development milestone reviews, testing and validation, customer collaboration, project documentation, and automated digital delivery support. The role involves integration with systems, hardware, and test engineering teams and requires full-time on-site work.

Develops and evaluates complex software for electronic warfare and defense systems, including SIGINT, aircraft protection, radar warning, and electronic attack. Responsibilities include backlog prioritization, software design reviews, milestone reviews, testing and validation, customer collaboration, documentation, and automated digital delivery. The role works with systems, hardware, and test engineers and requires full-time onsite work.

Build and maintain secure integrations between Cloudflare and SaaS applications, taking projects from requirements through deployment. Develop AI agents, LLM-powered automation, MCP servers, and operational tooling to improve integration delivery and support. Collaborate with technical and business stakeholders, apply observability and cloud-native practices, participate in on-call rotation, and help govern AI tooling responsibly. The role is based in Austin, Texas, with potential in-person interviews.

Lead architecture and development of high-throughput document-processing services, primarily in Rust with C#/.NET support. Design distributed, highly available queue-driven systems; optimize performance, memory, concurrency, and reliability; evolve APIs and schemas safely; and operate services in production. Lead complex projects, mentor engineers, write technical designs, evaluate AI coding agents, collaborate across teams, and participate in on-call and incident response.

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Build and maintain full-stack web applications for healthcare payment processing, account management, and reporting. Develop across client-side JavaScript, HTML, CSS, server-side PHP, and SQL; design scalable systems; modernize legacy applications; collaborate with Product and UX; implement testing, monitoring, and asynchronous processing; mentor junior engineers; and lead the team’s technical roadmap.

Build scalable software systems for AI safety, including abuse detection, monitoring, automated enforcement, internal dashboards, and layered defenses. The role surfaces abuse patterns to research teams, supports model hardening, and collaborates with operational teams. Candidates should be proficient in Python and TypeScript, work across the stack, communicate effectively with nontechnical stakeholders, and ideally have experience in trust and safety, fraud detection, adversarial inputs, or AI/ML safeguards.

Build backend infrastructure for Anthropic’s trusted access programs, including identity verification, customer vetting, access control, safety configuration, misuse monitoring, enforcement tooling, account-compromise mitigation, dashboards, alerting, and internal administration systems. Collaborate with policy, enforcement, threat intelligence, product, research, and go-to-market teams while integrating third-party identity verification and data enrichment vendors.

Lead the architecture and delivery of TeamSnap’s Android advertising platform, including native, display, and video ad experiences. Build privacy-conscious consent and measurement capabilities, optimize performance, shape Kotlin and Jetpack Compose architecture, and lead cross-team technical initiatives. Partner with advertising, product, design, legal, and data teams while mentoring engineers and establishing Android standards.

Build and own software tools for reviewing robot data, aligning telemetry with errors, curating datasets, creating training sets, and supporting annotation and quality review workflows. Collaborate with machine learning, robotics, fleet debugging, and data annotation teams to improve training data quality and guide R&D priorities.

Develop and support large-scale Mastercard payment gateway applications using Java, Spring, and Spring Boot. Design, test, deploy, and maintain backend and full-stack services while improving reliability, observability, performance, security, and operational readiness. Collaborate with QA, DevOps, product teams, and stakeholders; troubleshoot production issues; conduct code and design reviews; and provide technical leadership and mentorship. Contribute to CI/CD, cloud deployment, monitoring, automation, and software architecture.

Provides organization-wide technical leadership for complex AI infrastructure and distributed systems. Owns system architecture, guides large-scale initiatives from discovery through production, establishes engineering standards, mentors technical leaders, and drives secure, scalable, reliable, and cost-effective platforms. Collaborates across infrastructure, AI, hardware, and product teams to improve large-scale AI workloads, including model inference, while influencing open-source projects and resolving cross-product operational challenges.

Lead the technical roadmap for partner integrations across APIs, SDKs, and web experiences. Design and build scalable products, standardize external partner integrations, and deliver payment and data-sharing capabilities. Collaborate with Engineering, Product, Design, Infrastructure, Sales, Partner, and Customer Success teams while remaining hands-on. Drive architecture, code quality, delivery, stakeholder alignment, and technical strategy for high-impact fintech products.

Lead technical direction and major multi-team projects for Chainguard Containers. Design and operate secure container build pipelines, registries, distribution systems, and adoption tooling. Remain hands-on with Go development, architecture, code review, observability, and on-call operations. Form roadmaps with product and engineering leaders, make product-level trade-offs, mentor senior engineers, collaborate across teams, contribute to open-source and industry standards, and establish safe AI-assisted engineering practices.

Own and improve Elicit’s scholarly search and data platform, building distributed data pipelines, secure external integrations, and end-to-end product features. Develop Python and TypeScript services, React and Next.js interfaces, and reliable APIs. Manage data quality, provenance, observability, staged deployments, and system performance while collaborating with product, customers, partners, and engineering teams.

Leads the design, implementation, and evolution of enterprise observability and logging platforms. Builds automation, CI/CD integrations, infrastructure-as-code solutions, data routing and transformation pipelines, and AI-native tools for issue detection and resolution. Architects scalable distributed systems, optimizes performance and costs, mentors engineers, conducts code reviews, and collaborates with SRE, security, networking, platform engineering, and data science teams. Requires deep expertise in OpenTelemetry, Splunk, logging, observability maturity, automation, and AI solution development.

Develop and maintain backend applications, REST APIs, and microservices using Java Spring Boot and Node.js. Containerize applications, create Kubernetes manifests and Helm charts, and operate Kubernetes environments. Support CI/CD pipelines, cluster upgrades, monitoring, troubleshooting, security remediation, incident investigations, documentation, and operational runbooks.

Design and implement backend services, modernize legacy systems into microservices, ensure strong testing and production observability, and collaborate with Product and Engineering teams. The role requires independent project ownership, strong system design, AI-assisted development using tools such as Claude or Cursor, effective communication with nontechnical stakeholders, and adaptability in an ambiguous, fast-changing environment.

Build and maintain reliable, scalable, observable software systems supporting 24/7 warehouse automation. Responsibilities include designing complex solutions, developing public APIs, troubleshooting performance issues, conducting code reviews, documenting systems, mentoring engineers, collaborating on cloud architecture and deployments, and establishing service-level objectives and indicators.

Build and lead data catalog infrastructure supporting data discovery, metadata management, governance, quality, lineage, privacy, access control, and retention. Develop scalable metadata integrations, onboarding tools, data policies, and end-to-end lineage products across online, offline, machine learning, metrics, visualization, and third-party datasets. Collaborate with cross-functional infrastructure teams to ensure Airbnb data assets are cataloged, discoverable, governed, and compliant with regulatory requirements.

Build and own product engineering systems that enable enterprise customers to configure, train, test, deploy, monitor, and improve AI agents. Responsibilities include designing scalable configuration abstractions, self-service agent workflows, observability and analytics tooling, evaluating and integrating text and voice models, and debugging complex distributed systems. The role partners closely with product, design, and customers while owning features from architecture through deployment and iteration.

Design and build scalable product systems for configuring, training, testing, deploying, monitoring, and evaluating AI agents. Partner with product, design, and customers to translate complex capabilities into intuitive self-service tools for enterprise use cases. Own features end to end, from architecture and implementation through deployment, debugging, and iteration. Develop agent workflows, observability and analytics tooling, configuration abstractions, and integrations for text and voice models.