Top Remote Senior Level Software Engineer Jobs

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.

Develop and support software solutions within an Agile Scrum team. Responsibilities include designing, coding, testing, debugging, enhancing existing applications, conducting code reviews, analyzing requirements, resolving customer software issues, integrating new technologies with cloud infrastructure, and communicating project updates and risks to stakeholders.

Build AI development workflows, agent orchestration systems, collaborative tooling, generative creative pipelines, SDKs, and infrastructure that help teams rapidly prototype and productionize educational experiences. The role spans infrastructure, product, and creative tooling, with responsibility for autonomous agents, asynchronous workflows, multimodal asset generation, reusable engineering primitives, and technical support for a small collaborative team.

Lead the design and delivery of a core software platform area, such as data systems, cloud infrastructure, or internal and customer-facing tools. Provide technical direction, review designs and code, mentor engineers, establish scalable and reliable architecture, and manage the full development lifecycle through production. Collaborate with autonomy and robotics teams on data interfaces, uphold security and reliability standards, and support hiring and roadmap planning.

Leads two infrastructure and engineering systems squads, owning roadmap, prioritization, delivery, operational health, hiring, mentoring, and vendor budgets. Ships production code, manages on-call performance, oversees audits and automation, and partners across engineering and business functions. Requires substantial software engineering and people-management experience, hands-on production development across cloud or application technologies, strong CI/CD and observability knowledge, security awareness, and experience directing AI agents in production workflows.

Design, build, test, deploy, and operate reusable enterprise integrations using Workato and modern APIs. Partner with engineering teams, define data flows and security models, create custom connectors and integration templates, and ensure production observability, testing, documentation, and support. Translate partner needs into product requirements, support sales proofs of concept, evaluate agent integration patterns, and use AI coding tools while validating security, correctness, and maintainability.

Develop and modernize enterprise applications using C#/.NET and PostgreSQL, including refactoring a Microsoft Access/VBA application. Responsibilities include writing maintainable code, participating in code reviews, testing, documentation, deployment, and collaborating with the software development team in a fully remote environment.

Senior full-stack engineer responsible for architecting, developing, deploying, monitoring, and supporting production capabilities across a React, Node.js, PostgreSQL, Rust, and Azure Kubernetes platform. The role includes delivering AI and LLM features, owning complex technical initiatives, improving reliability and security, contributing to architecture and engineering standards, partnering with stakeholders, and mentoring engineers.

Own architecture and technical direction for healthcare product systems. Build full-stack features from data models and APIs through React interfaces, design resilient integrations, manage migrations, operate reliable production systems, and implement authorization, audit trails, and PHI minimization. Analyze healthcare data with SQL, build trusted reporting, handle incidents, collaborate with clinical and operations stakeholders, and mentor engineers.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.