Top Lead Software Engineer Jobs in Chicago, IL

Leads software engineering across architecture, design, prototyping, and delivery for pharmacy technology platforms. Provides mentorship, establishes development frameworks and best practices, collaborates with business and IT stakeholders, leverages approved AI developer tools, supports Agile/Scrum execution, improves performance and security, and leads production issue triage and root-cause analysis.

Leads development of secure, scalable software solutions using Java, Spring Boot, React.js, and cloud-native technologies. Designs systems, writes and reviews production code, troubleshoots issues, improves operational stability, and guides agile SDLC practices. Promotes responsible AI-assisted engineering, including validation for security, correctness, and performance. Collaborates with vendors and internal teams to evaluate architectures and technology solutions within financial services environments.

Leads design, development, testing, troubleshooting, and production delivery of scalable Java-based financial technology solutions. Builds resilient microservices using Java, Spring Boot, Kafka, React, AWS, and Kubernetes; manages unit, SIT, and UAT testing; supports clearing and settlement functions; and promotes secure, responsible AI-assisted engineering practices, automation, code quality, and operational stability.

Leads software engineering within an agile Corporate Technology team, designing, developing, troubleshooting, and reviewing secure enterprise applications. Builds Java and Spring Boot solutions using microservices, APIs, databases, cloud-native architecture, messaging, and modern UI frameworks. Drives automation, application resiliency, CI/CD, responsible AI-assisted development, technical evaluations, and engineering communities of practice. Coaches teams on secure AI adoption, validates AI-generated outputs, and promotes scalable engineering standards.

Leads development of a next-generation equipment and asset finance platform. Designs, builds, tests, secures, and troubleshoots scalable Java and Spring Boot applications using microservices, REST, Kafka, React, and relational databases. Provides technical direction to a global feature team, mentors engineers, reviews code, drives AI-assisted engineering practices, and contributes to architecture. Improves application stability, observability, code quality, deployment reliability, and operational support across development, staging, and production environments.

Leads two scrum teams while remaining hands-on in software development at least 50% of the time. Designs, codes, tests, debugs, and supports secure, resilient, high-throughput distributed payment systems using Java and Spring Boot. Drives AI-assisted engineering practices, automation, CI/CD, code quality, operational stability, and responsible AI usage. Evaluates technical solutions with vendors and internal teams and leads engineering communities of practice.

Leads software engineering for secure, stable, and scalable technology platforms. Designs, develops, tests, debugs, and reviews production code; improves application resiliency and operational stability; automates recurring remediation; and promotes secure AI-assisted development practices. Evaluates vendor and internal technical solutions, coaches engineers on responsible AI use, and applies cloud-native technologies, agile methodologies, and CI/CD across the software development lifecycle.

Leads software engineering within an agile banking technology team, designing, developing, testing, debugging, and operating secure, scalable Java applications. Reviews code, improves automation and continuous delivery, resolves recurring operational issues, and promotes responsible AI-assisted engineering practices. Evaluates architectural solutions with vendors and internal teams while guiding technical delivery, resiliency, cloud-native development, data streaming, and secure software practices.

Lead development of an AI-first developer portal and AI-enabled support experiences, design secure external API platforms and integrations, establish engineering standards for AI/automation, remain hands-on with critical coding and architecture, drive cross-functional delivery, and coach/mentor engineering talent.

Lead software engineering delivery of secure, scalable, cloud-native microservices applications. Design and develop production code, review and debug others’ work, resolve technical issues, improve application resiliency, automate recurring remediation, and support zero-downtime releases. Collaborate within agile teams, apply domain modeling and modern architectural patterns, lead technical communities of practice, mentor others, and drive adoption of effective engineering practices.

Leads a team of software engineers in designing, developing, testing, and operating secure, resilient Java microservices. Oversees architecture, implementation, technical troubleshooting, and design documentation for event-driven systems using Kafka, Spring Boot, and cloud infrastructure. Promotes automation, responsible AI-assisted development, secure coding, continuous delivery, operational stability, and adoption of emerging technologies. Provides technical leadership across agile teams and evaluates architectural solutions with vendors and internal stakeholders.

Lead an agile team to design, develop, and maintain secure, scalable Java/Spring Boot microservices. Produce high-quality code, drive architecture/vendor evaluations, automate remediation, promote AI-assisted engineering practices, and ensure operational stability and secure SDLC adoption across teams.

Design and develop scalable Python systems while applying SRE principles to improve reliability, security, and performance. Responsibilities include monitoring, alerting, automated recovery, SLI/SLO measurement, chaos engineering, performance testing with JMeter, incident response, root cause analysis, and production troubleshooting. The role collaborates with product teams, contributes to architecture and engineering practices, and maintains high-quality, resilient software.

Leads development of secure, scalable Java full-stack applications within an agile team. Designs microservices and resilient architectures, writes and reviews production code, resolves operational issues, and promotes automation and AI-assisted engineering practices. Builds front-end and back-end solutions using Java, Python, modern web technologies, databases, cloud-native patterns, and agentic AI frameworks. Coaches engineers on responsible AI usage, security, testing, and delivery standards while evaluating architectural solutions with vendors and internal stakeholders.

Leads development of secure, scalable Java and Spring Boot microservices for real-time reference data products. Owns features from requirements through deployment and monitoring, optimizes distributed data pipelines, writes comprehensive tests, reviews code, addresses technical debt, supports production incidents, and promotes AI-assisted engineering practices. The role requires extensive AWS, event-driven architecture, cloud-native development, databases, DevOps, and CI/CD expertise, with preferred experience in data engineering, Databricks, data mesh, and high-scale real-time systems.

Lead development of pricing web applications using React/Next.js front ends and Java/Kotlin back ends. Build reusable components, optimize performance and scalability, integrate RESTful APIs and third-party services, containerize with Docker/Kubernetes, enhance CI/CD, collaborate with data, product, and design teams, and troubleshoot production distributed systems.

Leads the technical direction and architecture of data product systems, including APIs, backend services, data stores, and processing systems. Builds and reviews production code, partners with product managers, data scientists, and ML engineers, and oversees system design, operations, observability, and on-call health. The role also mentors engineers, drives cross-team technical alignment, evaluates machine-learning production systems, and guides effective use of AI engineering tools.

Leads architecture, design, implementation, and evolution of scalable backend services and APIs for customer address data. Drives technical strategy, distributed systems standards, observability, reliability, incident response, and performance optimization. Partners across engineering, product, architecture, and business teams; establishes reusable platforms and engineering practices; mentors engineers; leads design and code reviews; and contributes hands-on to complex enterprise solutions.

Lead hands-on software design and development for scalable .NET services and web applications on Azure. Modernize legacy systems, design APIs and integrations, improve CI/CD, testing, observability, and secure coding practices, and mentor engineers. Collaborate with operations and business leaders to solve freight-related challenges through software while contributing to technical direction and engineering standards.

Lead software engineering efforts across the full application development lifecycle, including architecture, technical design, coding, code reviews, agile ceremonies, testing, deployment, and performance optimization. The role develops scalable, highly available consumer applications, translates product requirements into working software, creates technical specifications, mentors engineers, and collaborates with principal engineers and Scrum teams. Healthcare technology experience and machine learning expertise are preferred.

Leads hands-on development of scalable full-stack applications using React, .NET, Next.js, TypeScript, and Azure. Responsibilities include architecture, technical decision-making, code reviews, performance optimization, application security, CI/CD implementation, mentoring engineers, and cross-functional collaboration. The role also contributes directly to coding, database optimization, API development, and cloud-native deployment practices.

The Lead Software Engineer will oversee architecture and design of platform services, drive technical strategy, mentor engineers, and enhance scalable, robust digital experiences at Salesforce.

Lead the architecture, development, governance, reliability, security, and optimization of a Databricks lakehouse platform. Design data models and ingestion pipelines, tune Spark and SQL workloads, establish observability and operational practices, implement CI/CD and testing standards, and mentor engineers. Partner with stakeholders to deliver scalable data capabilities while guiding responsible adoption of AI-assisted development tools and validating their security, correctness, and performance.

Leads the design, development, operation, and governance of enterprise API, AI, and cloud-native platforms. Responsibilities include managing API gateways, developing API proxies and GraphQL services, building Terraform-based infrastructure automation, implementing CI/CD and self-service deployment, enforcing security controls, designing multi-cloud networking, and providing technical leadership, mentorship, and incident management.

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.