Top Remote Lead Software Engineer Jobs

Lead UI architecture, design, and delivery for identity platform user interfaces. Define UI standards (performance, accessibility, security), drive modern front-end practices (micro frontends, design systems), mentor engineers, collaborate with product/UX/security/platform teams, and ensure compliance with HIPAA/PHI and enterprise identity standards.

Leads modernization of legacy application platforms into cloud architecture using Go, SQL Server, and Azure. Oversees architecture, code quality, testing, CI/CD, technical delivery, deployment optimization, production issue resolution, documentation, and regulatory compliance. Collaborates with stakeholders and DevOps teams to deliver robust solutions and designs AI-powered applications using responsible AI practices.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Designs cloud-based solutions using AWS and other technologies, collaborates with product managers, addresses regulatory needs, mentors engineers, evaluates code, and promotes modern engineering practices. The role requires experience with software engineering, cloud computing, open-source frameworks, Agile methods, people management, and multiple programming languages.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Leads the design, development, testing, and optimization of large-scale data engineering solutions. Responsibilities include building Python and PySpark ETL pipelines, orchestrating workflows, developing AWS cloud-native services, managing data lakes and Snowflake environments, and implementing testing, CI/CD, and secure engineering practices. The role also promotes responsible AI-assisted development, mentors engineers, participates in code reviews, and drives technical delivery initiatives.

Leads development of secure, scalable, cloud-native Java microservices using Spring Boot and Kafka. Designs domain-driven, event-driven architectures; delivers production code, automated testing, CI/CD, observability, resiliency, and operational improvements. Provides technical leadership through code reviews, debugging, vendor evaluations, communities of practice, and cross-functional collaboration. Promotes responsible use of approved AI-assisted engineering tools, including validation for correctness, performance, security, and data sensitivity.

Leads software engineering within JPMorganChase’s CTO organization, designing, developing, testing, debugging, and supporting secure, scalable production systems. Builds advanced Java applications using AWS, Aurora, and PostgreSQL; improves application resiliency and operational stability; and guides teams in responsible AI-assisted development. Reviews code, drives automation, supports incident management, evaluates architectural solutions, and coaches engineers on secure, compliant AI tool adoption. Preferred experience includes Terraform, MyBatis, Node.js, modern frontends, and AI coding tools.

Leads design, development, testing, troubleshooting, and operational support for secure Java and Spring Boot microservices. Builds scalable AWS cloud-native services, establishes API and engineering standards, improves resiliency and observability, automates recurring issue remediation, and reviews production code. Guides responsible adoption of AI-assisted engineering tools, validates AI-generated outputs, coaches engineers on secure practices, and collaborates with security, risk, and architecture partners.

Lead a cloud-focused full-stack engineering team to design, build, and operate scalable, high-availability web platforms and APIs. Mentor engineers, improve architecture and test coverage, ship features in React/AWS container environments, and drive observability and resilience.

Lead and contribute to full‑stack AI initiatives for Capital One Shopping. Design, implement, and deliver cloud-based services and AI-driven features, mentor engineers, collaborate with product teams, and evaluate emerging technologies to scale experiences for millions of users.

Lead and mentor a team building distributed microservices and full‑stack cloud solutions. Drive architecture, deliver robust AWS-based features, evaluate new technologies, and occasionally code. Collaborate with product managers to create scalable Shopping experiences.

Design, deliver, and operate scalable, production-grade batch data pipelines and workflow orchestration on AWS. Implement data governance (cataloging, lineage, access), optimize distributed processing for performance and reliability, mentor engineers, perform quantitative analysis on large datasets, and apply enterprise-authorized AI-assisted practices responsibly within SDLC to improve automation and traceability.

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 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 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 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.

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.

Lead development of Android client features, collaborate with cross-functional teams, mentor junior engineers, own major components, ensure code quality and best practices, participate in agile ceremonies, and advocate for mobile platform improvements.

Lead a team building distributed microservices and full-stack systems for Capital One Shopping. Drive cloud-based solutions using containers and AWS services, mentor engineers, collaborate with product managers, and experiment with emerging technologies to deliver scalable customer experiences and meet regulatory needs.