Top Remote Lead Software Engineer Jobs

Leads software engineering for AI/ML products within an agile banking technology team. Develops, reviews, debugs, and operationalizes secure production code using Python, PySpark, Databricks, AWS, and LLM technologies. Establishes governance and validation standards for AI-assisted engineering, promotes responsible AI practices, guides technical design and operations, and serves as a subject matter expert across teams.

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 AWS cloud production management and site reliability engineering across business-critical services. Defines SLI/SLO practices, error budgets, observability, capacity planning, resiliency, infrastructure automation, and cost optimization. Drives major incident response, root-cause analysis, production readiness, disaster recovery, and durable remediation across engineering teams. Establishes responsible AI-assisted development practices and communicates complex technical strategies to leadership in a regulated environment.

Leads software engineering for mainframe applications within an agile banking technology team. Responsibilities include designing, developing, testing, debugging, and reviewing secure production code; adopting AI-assisted engineering practices; improving application stability; evaluating architectures and vendors; modernizing mainframe systems toward cloud-native technologies; and mentoring software engineers. The role requires extensive COBOL-based mainframe experience, architectural expertise, cloud-native knowledge, and leadership across software development and operational stability.

Leads software engineering within an agile team, providing technical guidance and developing, reviewing, debugging, and operationalizing secure production code. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs for security and performance, improves SDLC automation, influences product and application design, and serves as a firm-wide technical subject matter expert. Requires cloud-native experience, advanced programming skills, system design expertise, and independent problem-solving ability.

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.

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 teams of at least five in designing, developing, testing, and resolving complex issues across enterprise application systems. Oversees system-level architecture, project estimates, schedules, quality initiatives, continuous improvement, and cross-functional problem solving. Provides technical consultation, mentors developers, conducts interviews, and establishes standards for AI-assisted coding. Requires expertise in software development, testing, databases, event-driven integration, and C#/.NET or a comparable stack.

Lead and mentor software developers through the full project lifecycle while remaining hands-on with feature development, technical problem-solving, code quality, testing, and Agile delivery. Manage team resources, hiring, goals, performance feedback, and training. Partner with stakeholders and clients to deliver GRC web applications, improve application security, and leverage AI-assisted coding practices.

Lead end-to-end architecture and production operation of AI systems, including LLM-powered clinical tools, RAG pipelines, agent workflows, intelligent automation, and evaluation frameworks. Guide model selection and fine-tuning, partner with product and clinical stakeholders, and ensure HIPAA compliance and responsible AI practices. The role also oversees software quality, testing, debugging, and resolution of complex technical issues.

Lead a team building LLM-powered products, including conversational interfaces, autonomous research agents, and data-driven tools. Own architecture for agents, retrieval, evaluation, and reliability infrastructure while remaining hands-on with production code. Establish engineering standards, mentor engineers, support hiring, partner with researchers and product stakeholders, and plan delivery across the election cycle.

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.

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 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.

Leads ServiceNow FSO software engineering for disputes and complaints technology. Designs, develops, integrates, tests, deploys, and supports enterprise solutions while contributing technical leadership within an Agile squad. Responsibilities include architecture, JavaScript development, workflow automation, API integrations, code reviews, operational improvements, troubleshooting, compliance documentation, and collaboration with product, engineering, QA, and business teams. Banking disputes and ServiceNow FSO Disputes Management expertise are preferred.

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.

Leads hands-on development of enterprise solutions using Dynamics 365 Sales, Dataverse, Power Apps, and Power Automate. Designs CI/CD pipelines, establishes engineering standards, manages version control and ALM, and ensures solution scalability and maintainability. Mentors engineers, conducts code reviews, collaborates with architecture and product teams, supports Agile delivery, and serves as a technical stakeholder contact. Participates in overnight and weekend on-call support for Broad Arrow Auctions.

Build and operate enterprise AI platforms, semantic routing, model gateways, agentic workflows, evaluation harnesses, and production AI services. Develop secure, compliant integrations for regulated financial services, optimize AI workload economics, and establish observability, governance, and reliability standards. Prototype emerging capabilities, create reusable architecture components, mentor engineers, lead technical learning, and partner with security, risk, compliance, and data governance teams.

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 full-stack software development projects, architects and maintains applications, resolves complex technical challenges, mentors engineers, and makes technical decisions in Scrum. Collaborates with business analysts and cross-functional teams to deliver solutions aligned with user and business needs. Oversees documentation, workflow processes, performance improvements, and adoption of relevant technologies. Requires experience with Microsoft platforms, SQL Server or similar DBMS, cloud networking, large-scale production systems, and preferably pharmaceutical, biotechnology, CRO, or imaging CRO environments.

Lead a portfolio company’s engineering function by writing production code, modernizing the software development lifecycle, coaching engineers, setting the product roadmap, and implementing AI-powered development and product capabilities. The role requires rapidly learning unfamiliar technology stacks, improving legacy codebases without rewrites, operating independently, and partnering closely with general managers, operators, and customers.

Lead development of full-stack, mission-critical products using Angular, React, Node.js, and AWS serverless technologies. Own projects from product definition through deployment, integrate GraphQL APIs and machine learning systems, improve developer experience and CI/CD, collaborate with clinicians and researchers, participate in customer discovery, and mentor engineers while shaping technical architecture and engineering culture.

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.