Top Remote Lead Software Engineer Jobs

Leads ServiceNow software design, development, implementation, troubleshooting, integrations, and platform stability. Builds secure production code, custom widgets, portals, pages, and UI elements; creates architecture artifacts and analyzes data to improve systems. Collaborates with stakeholders, mentors junior developers, resolves complex technical problems, and contributes to engineering practices. The role requires extensive ServiceNow and ITSM experience, with preferred expertise in HR Service Delivery, Virtual Agent, UI Builder, configurable workspaces, and ServiceNow certifications.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

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.

Lead full-stack workflow orchestration engineering using Camunda, Java or Python, and React. Design BPMN/DMN processes, enterprise integrations, IAM controls, resilient long-running workflows, and scalable backend services. Establish CI/CD, observability, security, testing, and operational practices while partnering with product, operations, and control teams. Drive responsible AI-assisted engineering adoption and mentor teams on secure, reliable development practices.

Leads data engineering within an agile team, designing secure and scalable data platforms, pipelines, architectures, storage, access, analytics, governance, backup, and recovery strategies. Develops advanced data models, evaluates security controls, documents best practices, and drives responsible AI-assisted engineering adoption. Provides technical leadership through architecture decisions, mentoring, cross-team influence, and operational support using Python, Databricks, Spark, AWS, and modern lakehouse patterns.

Leads enterprise adoption of AI, machine learning, generative AI, and intelligent automation across federated engineering teams. Defines reference architectures, standards, reusable patterns, and Responsible AI governance while advising delivery teams on secure, resilient, scalable implementations. Influences senior stakeholders, promotes AI-assisted engineering practices, establishes validation standards, and builds communities of practice to improve consistency, delivery speed, and operational readiness.

Leads AWS cloud production management and Site Reliability Engineering practices for business-critical banking services. Defines SLOs, SLIs, error budgets, observability, capacity planning, resiliency, and disaster recovery strategies. Directs major incident response, root-cause analysis, and corrective actions; advances infrastructure automation, cloud cost optimization, and multi-region architecture. Establishes production readiness and operational standards while guiding responsible AI-assisted engineering adoption and communicating technical strategy to leadership.

Leads AWS cloud architecture and site reliability engineering for business-critical production services. Responsibilities include production readiness, incident response, observability, SLI/SLO and error-budget management, capacity planning, resiliency, disaster recovery, infrastructure automation, cloud cost optimization, and major incident remediation. The role also establishes operational standards, advances responsible AI-assisted engineering practices, and communicates complex technical strategies to leadership in a regulated financial-services environment.

Lead cloud and SRE engineering practices for business-critical AWS production services. Responsibilities include production readiness, incident response, observability, SLI/SLO and error-budget management, resiliency and disaster recovery, infrastructure automation, cloud cost optimization, architecture strategy, and responsible adoption of AI-assisted engineering tools. The role also drives root-cause analysis, operational risk reduction, service health measurement, and technical standards across multiple engineering teams.

Leads hands-on software development and technical direction for scalable analytics and data platforms, including SAS Viya and Databricks across on-premises and AWS environments. Designs distributed applications, drives CI/CD, automation, security, reliability, and modernization, and partners with product and engineering teams throughout the SDLC. Coaches engineers, manages incidents and operational readiness, establishes engineering standards, and uses delivery and production metrics to improve quality and performance.

Lead the design, development, testing, and maintenance of secure software tools and platforms supporting more than 50,000 developers. Responsibilities include code reviews, debugging, performance optimization, architectural planning, documentation, production support, adoption of AI-assisted development tools, and mentoring engineers. The role also drives engineering communities of practice and ensures developer tooling complies with enterprise security, resiliency, and policy standards.

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 the design and development of software solutions, resolves complex technical problems, and provides guidance to engineering colleagues. Responsibilities include preparing technical documentation, reviewing code and testing, applying modern development methodologies, and supporting business initiatives. The role typically requires a bachelor’s degree and at least three years of relevant experience. Preferred skills include Agile, cloud computing, DevOps, requirements analysis, system design, and project management.

Lead the strategy, architecture, development, deployment, and optimization of enterprise AI platforms, including agentic systems, LLM applications, generative AI, orchestration frameworks, and multi-agent architectures. Establish engineering standards, reference architectures, governance, observability, and responsible AI practices. Partner with stakeholders, build reusable platform capabilities, influence distributed cloud-native system design, and mentor engineers while driving AI adoption across teams.

Leads the design, development, deployment, and operation of enterprise AI and machine learning solutions, including generative AI, LLMs, conversational AI, predictive analytics, RAG, and agentic systems. Provides technical direction, mentors engineers, establishes responsible AI governance and model lifecycle practices, evaluates cloud AI services, and aligns initiatives with enterprise strategy. Ensures production quality, operational excellence, regulatory compliance, and delivery of healthcare-focused AI platforms.

Leads software architecture and hands-on development for enterprise applications using Java, Angular, AWS, Azure, and AI technologies. Defines technical standards, APIs, design patterns, roadmaps, and documentation; guides globally distributed engineering teams; builds resilient multi-cloud solutions; conducts code reviews and proofs of concept; and partners with product and business leaders to deliver scalable, secure architectures.

Lead the design and implementation of scalable distributed systems, modernize monolithic applications, and improve developer experience through CI/CD, automated testing, refactoring, and TDD. Make major architectural decisions, establish engineering standards, and mentor engineers through complex technical challenges. Collaborate with product owners and designers in an agile environment while building and operating reliable software for millions of users.

Leads enterprise software engineering excellence initiatives, including responsible adoption of AI-assisted development tools, application health, vulnerability remediation, technical debt reduction, modernization, and secure-by-design practices. Establishes engineering standards, automates SDLC processes, improves release readiness and auditability, and mentors engineers across teams. Partners with architecture and security stakeholders to govern AI coding workflows, strengthen application resilience, and improve software quality at scale.

Lead the architecture and development of Green Dot’s cloud-native Banking as a Service platform. Design scalable APIs, microservices, event-driven systems, and integrations; guide CI/CD, testing, observability, security, and compliance practices; lead incident response and architectural decisions; reduce technical debt; mentor engineers; and partner with product and engineering teams to deliver reliable banking and payment solutions.

Lead development of agentic AI systems, LLM applications, RAG pipelines, and scalable cloud and big-data solutions for healthcare. Responsibilities include architecting multiagent workflows, building APIs and microservices, adapting and evaluating models, managing MLOps and LLMOps, and ensuring reliability, privacy, HIPAA compliance, and responsible AI practices. The role also involves production deployment, technical planning, documentation, mentoring, and collaboration across engineering, data, clinical, legal, and compliance teams.

Leads software engineering for a large-scale Apache Cassandra platform. Designs and delivers automation, self-service tooling, infrastructure frameworks, and cloud capabilities across private and public environments. Partners with engineering teams to improve developer velocity, code quality, resiliency, security, and customer experience. Applies AI-assisted infrastructure practices with validation, auditability, and data-sensitivity controls. Requires expertise in software development, databases, Linux, distributed systems, configuration management, and Database Reliability Engineering.

Lead the technical direction and hands-on development of NetBox Delivery, including Kubernetes operators, controllers, APIs, release tooling, observability, and deployment infrastructure. Improve NetBox reliability and performance, establish engineering standards, mentor engineers, coordinate cross-team architecture and release initiatives, and serve as a technical escalation point during incidents.

Leads architecture and development of scalable, high-availability software systems supporting millions of endpoints. Owns complex multi-team initiatives, makes technical decisions, mentors engineers, establishes engineering standards, and improves software quality. Requires deep Java development, distributed systems, API design, database engineering, system scalability, testing, and AI-assisted development experience.

Leads full-stack software development projects, architects and maintains applications, resolves complex technical challenges, and makes technical decisions. Provides mentorship, collaborates with business analysts and engineering teams, supports Scrum workflows, documents development processes, and aligns software solutions with user and business needs. Requires extensive experience with Microsoft technologies, SQL Server or similar DBMS, cloud networking, large-scale production systems, and software troubleshooting, preferably in pharmaceutical, biotechnology, CRO, or imaging CRO environments.

Leads software engineering for employee platforms, designing, developing, testing, troubleshooting, and operating secure, scalable applications and data solutions. Builds ETL/ELT pipelines using Python, SQL, Databricks, Spark, Delta Lake, and lakehouse architectures. Improves automation, resiliency, monitoring, governance, CI/CD, and responsible AI-assisted development practices. Evaluates vendor and internal solutions, reviews code, guides peers, and eliminates recurring operational issues.