Top Remote Lead Software Engineer Jobs

Lead a team building distributed microservices and full-stack systems for Capital One Shopping. Drive cloud-based solutions, mentor engineers, evaluate and write code, collaborate with product managers, and adopt emerging technologies to meet regulatory and customer needs.

Lead hands-on engineer designing and modernizing cloud-native, reliable, and automated software solutions. Drive adoption of enterprise AI-assisted engineering practices, build automation frameworks, support performance and resiliency testing, lead code reviews, and communicate technical strategy and reliability standards across teams.

Lead design, develop, and maintain scalable full-stack Java/Spring Boot microservices. Troubleshoot production issues, drive architecture and reliability improvements, mentor engineers, perform code reviews, and adopt DevOps, CI/CD, containerization, and AI/ML integrations to improve platform performance and engineering productivity.

This role involves designing scalable data ingestion systems and building a centralized data lake on Apache Iceberg. Responsibilities include improving performance and reliability, collaborating with data engineers, and providing technical leadership.

Lead development of Android client features using Kotlin; collaborate with engineers, product, UX and QA; own major components, mentor junior engineers, advocate mobile platform, and improve processes to deliver high-quality customer experiences.

Lead a team building cloud-native, full-stack shopping solutions and distributed microservices. Drive technical direction, mentor engineers, collaborate with product, and deliver scalable AWS-based systems using modern languages, databases, containers, and orchestration.

Lead design and deliver SAP BTP AI solutions for Finance. Partner with SAP Finance teams to identify AI use cases, build GenAI capabilities (RAG, Joule Skills, agents), ensure secure, scalable integrations, validate feasibility via POCs, and produce production-ready solutions for reconciliations, controls, reporting, and financial close.

Lead design and develop scalable, consumer-aligned data products and Delta Lake datasets on Databricks. Build analytics-ready models and PySpark pipelines, ensure data quality, governance, lineage, and performance optimization. Drive AI-assisted engineering practices, collaborate with product, frontend, and analytics teams, and promote reusable data assets for reporting, dashboards, AI, and business applications.

Lead a diverse technology portfolio and a team of developers to create solutions meeting regulatory needs. Collaborate on cloud-based projects and mentor engineers.

Lead design, build, and run secure, scalable backend services and APIs (Python/Django/FastAPI). Automate network infrastructure and provisioning, improve reliability via observability and automation, lead system design, mentor engineers, enforce CI/CD, security, and AI-assisted development best practices, and partner across teams for vendor evaluation.

Lead development and delivery of secure, scalable ML/LLM-powered conversation capabilities. Collaborate with cross-functional teams, design systems, write and review production code, deploy infrastructure (Terraform/AWS), invoke models via Amazon Bedrock, optimize LLM performance and prompt engineering, and guide technical decisions and engineering best practices.

Lead architecture and delivery of high-throughput Databricks/Spark data pipelines and lakehouse patterns on AWS. Drive performance tuning, governance (Unity/Glue Catalog), CI/CD, automation, reusable libraries (Python/Java), and adoption of enterprise AI-assisted engineering practices while mentoring teams and ensuring secure, scalable production operations.

Lead architecture and modernization of high-volume debit and payments services. Own domain-level technical direction, enforce API/schema governance, improve reliability and observability, drive cloud-native/Kubernetes deployments, ensure security and compliance, mentor senior engineers, and run cross-team initiatives to scale resilient, performant, and auditable payment systems.

Lead technical design, develop and maintain Java/Spring services, deploy on AWS, improve operational stability, mentor teams, evaluate vendors, and drive engineering best practices including CI/CD and security.

Lead development and architecture for scalable, highly available microservices platforms. Write and review production code, drive monolith-to-microservices transformations, adopt AI-assisted engineering practices, evaluate vendor solutions, and promote secure, automated SDLC and operational stability.

Lead design and delivery of scalable Java microservices and cloud-native AWS solutions, build data pipelines (Databricks/Spark), drive CI/CD and automated testing, adopt AI-assisted engineering practices, mentor engineers, and collaborate with product and data teams to improve user experience and operational reliability.

Lead architecture and delivery of high-throughput Databricks/Spark data pipelines and lakehouse patterns. Own cluster strategy, performance tuning, data ingestion (batch/stream), governance, CI/CD, and secure AWS integrations while driving adoption of AI-assisted engineering practices, reusable libraries, testing, and operational reliability across teams.

Lead Engineer responsible for end-to-end feature design, development, testing, and delivery of a cloud-based healthcare platform. Work full stack from database to frontend, design scalable data services and APIs, mentor junior engineers, ensure testing and security best practices, and deploy to modern cloud infrastructure.

Lead a team of developers on technology projects, collaborate on cloud-based solutions, and mentor peers while utilizing various programming languages and technologies.

Lead the development of healthcare applications and data systems, focusing on audience intelligence and compliance. Design scalable data pipelines, APIs, and reporting systems while ensuring high data quality and security in regulated environments.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

As a Lead Software Engineer, you will lead technology projects, mentor teams, collaborate on cloud-based solutions, and leverage various programming languages and technologies.

Lead the design, development, and deployment of scalable, secure cloud-native platforms enabling AI adoption. Collaborate with engineers, data scientists, product, and stakeholders to build distributed systems, establish coding standards, mentor engineers, and implement AI/LLM solutions using no-code/low-code and advanced AI technologies.

Design, implement, test, document, and maintain scalable big-data solutions. Lead and mentor engineers, define APIs and integrations, evaluate new tools, collaborate across teams, participate in design/code reviews and production support, and translate customer requirements into technical designs.