Top Remote Lead Software Engineer Jobs

Leads architecture, design, and hands-on development for scalable backend APIs and interoperability services. Sets engineering standards, drives cross-team technical initiatives, mentors engineers, reviews code and designs, manages technical risks, and partners with engineering leadership on roadmaps. The role focuses on distributed systems, authentication, cloud SaaS, API integrations, and standards such as FHIR, while contributing production code and fostering collaboration.

Leads a software support team responsible for production reliability, defect triage, code maintenance, deployments, vulnerability remediation, testing, and operational response. Develops and reviews code, coordinates Agile delivery, monitors production concerns, communicates risks, and partners with engineering, infrastructure, IT, QA, product, and customer experience teams to maintain secure, supportable digital learning applications.

Lead software engineering teams through Agile development, including architecture, design, coding, testing, DevOps, delivery, and mentoring. Build scalable Java applications and services using SOA, APIs, microservices, containerized deployments, enterprise messaging, relational databases, and modern Spring frameworks. Establish engineering standards for security, automation, testing, and maintainable code while partnering with product owners to deliver customer-focused solutions.

As a Sr. Software Engineer at Bloomerang, you will lead technical direction, mentor engineers, and enhance SaaS solutions while utilizing .NET and AI tools. You will ensure scalable, maintainable applications, advocate for Agile workflows, and focus on quality outcomes in software development.

Lead the end-to-end architecture and development of safety-critical embedded device software for energy products. Responsibilities include metering, real-time control, communications, hardware-software co-design, secure firmware updates, certification, CI/CD, testing, and production scaling. The role combines hands-on firmware development in C, C++, or Rust with technical leadership, workstream delegation, code review, and collaboration across electrical engineering and external certification organizations.

Lead the design and implementation of a distributed compute control plane for managing virtual machines across Akamai’s cloud fleet. Own database partitioning and sharding, placement reconciliation, asynchronous operations, consistency guarantees, idempotency, fencing, and saga-style workflows. The role requires deep distributed systems, database, containerization, Kubernetes, and controller-pattern expertise, along with strong Python or Go development skills.

Serve as the senior technical engineer on a delivery team, writing production code, shaping architecture, mentoring engineers, diagnosing complex issues, and owning software quality and reliability. Build TypeScript and JavaScript applications using Node.js, Express, React, PostgreSQL, REST APIs, testing, and observability. Modernize legacy systems, manage integrations and data synchronization, and use AI tools and automation to improve engineering workflows and delivery.

Develops and sustains software-based test systems for server hardware manufacturing. Designs test plans, cases, scripts, and infrastructure to validate motherboards, processors, memory, storage, networking, and PCIe devices. Automates equipment control, data collection, analysis, and reporting; supports production test environments across multiple sites. Collaborates with hardware, manufacturing, quality, and customer teams while maintaining documentation and implementing configuration changes.

Design, build, deploy, and maintain critical software supporting scientific experiments, instruments, data systems, and infrastructure. Translate ambiguous research needs into reliable software milestones, develop integrations and high-volume data workflows, solve concurrency and performance issues, and improve testing, observability, and release practices. The role also includes architecture decisions, code review, mentoring, technical leadership, and collaboration with scientists and engineers.

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.

Leads the design, implementation, operation, and governance of identity and access management systems. Oversees IAM technologies, security compliance, architecture, troubleshooting, vendor collaboration, requirements gathering, and engineering best practices. Provides technical leadership and mentorship while developing scalable, secure, and usable IAM solutions. Requires extensive Java and Spring Boot backend engineering, identity protocol, AWS microservices, CI/CD, database, Redis, and Kubernetes experience.

Owns complex, cross-system software solutions from architecture through production and support. Designs and deploys secure AI and agentic applications, integrates disparate systems and APIs, establishes engineering standards, and partners with business stakeholders. Works hands-on across the full stack while shaping architecture, testing, CI/CD, documentation, security, privacy, and governance practices for a growing internal engineering function.

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

Leads full-stack software engineering and technical delivery for enterprise applications across the Microsoft .NET and Azure ecosystem. Designs scalable architectures, APIs, integrations, distributed and event-driven systems, and cloud-native solutions. Provides hands-on development, code reviews, troubleshooting, DevOps collaboration, CI/CD, production support, and operational improvement. Mentors engineers, coordinates technical delivery, manages risks and dependencies, and partners with Product, Architecture, Security, QA, and infrastructure teams.

Leads end-to-end data engineering solutions across multiple client engagements, from discovery and architecture through production support. Designs and optimizes Snowflake data platforms, models, warehouses, ELT/ETL pipelines, APIs, integrations, and deployments. Provides technical leadership, client communication, estimation, governance, performance and cost management, engineering standards, mentoring, training, and production escalation support.

Lead the architecture and development of AI orchestration platforms, multi-agent workflows, RAG systems, scalable data pipelines, and enterprise AI components. Build MLOps and LLMOps capabilities, responsible AI guardrails, governance, observability, evaluation, and telemetry solutions. Drive architecture reviews and cross-team alignment while enabling secure, auditable AI applications across software engineering functions.

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Lead full-cycle development of API and web applications, from architecture and design through deployment and support. Collaborate with product, design, and engineering teams to set technical direction, deliver secure and scalable solutions, improve developer productivity, and support Agile delivery. Responsibilities include code reviews, troubleshooting, documentation, observability, automation, quality measurement, and responsible use of AI-assisted development tools.

Lead and define AI architecture, ensuring scalable, reliable AI systems while mentoring engineers and collaborating with product teams.

Design, build, deploy, and maintain resilient, scalable production systems for Toast’s retail customers. The role sets long-term technical architecture and strategy, communicates technical direction, mentors senior engineers, improves engineering productivity, diagnoses performance issues, and drives initiatives amid ambiguity. Engineers collaborate directly with retail customers, visit stores, understand operational workflows, and use AI tools to improve development velocity and quality.

Lead technical design, build, and operate scalable, secure healthcare integration systems. Drive architecture, event-driven distributed systems, APIs, observability, IaC, CI/CD, incident response, cross-functional delivery, and mentor engineering teams.

Lead the design, development, and operation of scalable, secure cloud services and Kubernetes infrastructure. Provide technical direction across engineering teams, mentor developers, establish engineering standards, and drive reliability, incident response, automation, cluster lifecycle, workload scheduling, platform efficiency, and multi-tenant systems across commercial and government cloud environments.

Leads software engineering teams in developing, reviewing, testing, and releasing production-ready features. Plans work, delegates tasks, resolves technical challenges, monitors system health, and ensures code quality and QA standards. Mentors junior engineers, supports hiring and training, communicates technical decisions, identifies risks, and collaborates with product, management, and business stakeholders. Requires strong React and Node.js expertise, software development experience, and technical leadership capabilities.

Design, develop, test, and deploy supply chain software for inventory, warehouse, and fulfillment systems. Lead technical decisions, mentor engineers, coordinate cross-functional Agile projects, decompose work, delegate tasks, and promote strong development and testing practices. Build monitoring systems that ensure business-process correctness and support high-volume, data-intensive applications.

You will architect and build cloud infrastructure, optimize systems, evolve CI/CD pipelines, manage infrastructure, and mentor engineers, focusing on AI-driven solutions.