Top Senior Engineer Jobs in Chicago, IL

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Design, develop, test, deploy, and monitor scalable backend systems for a payroll SaaS product. Build APIs and microservices, collaborate with product and engineering teams, participate in code reviews, and own the full development lifecycle in a continuous delivery environment. The role emphasizes Kotlin, Scala, or Java, cloud platforms, automated testing, relational databases, scalable architecture, and responsible use of AI coding tools.

Lead product security assessments and penetration testing across MongoDB products and cloud environments. Conduct threat modeling, code analysis, architecture reviews, vulnerability verification, and attack research. Use AI and automation to improve assessment workflows, collaborate with engineering teams on remediation and secure coding, and advise on container security and secrets management. Coordinate with red and detection teams while mentoring others and communicating findings to technical and non-technical stakeholders.

Designs, implements, and operates multi-region cloud and hybrid networking infrastructure. Develops Terraform modules and infrastructure standards, supports AWS architectures, cloud migrations, and data center exits, and contributes to architecture reviews, compliance-aware delivery, CI/CD enablement, documentation, and observability. Collaborates with platform, security, architecture, compliance, and engineering teams to improve scalability, automation, reliability, and operational efficiency.

Build and maintain full-stack finance platforms for private markets and institutional clients. Responsibilities include developing high-performance React and TypeScript applications, creating financial data access methods and ETL pipelines, designing cloud-native architectures, implementing observability and security practices, supporting mobile development, and optimizing workflows with modern tooling. The role partners with designers, product managers, business stakeholders, infrastructure, DevOps, and data engineering teams, while conducting code reviews and mentoring developers.

Leads roadway and transportation engineering projects from concept through completion, ensuring technical, regulatory, and client requirements are met. Prepares and reviews plans, specifications, and cost estimates; collaborates with multidisciplinary teams; mentors junior engineers; and supports QA/QC programs. Requires strong knowledge of IDOT, Illinois Tollway, and local agency standards, roadway design software proficiency, and a Professional Engineer license.

Own the design, development, deployment, and maintenance of backend services, APIs, databases, integrations, and cloud infrastructure. Build secure REST and GraphQL APIs, optimize relational data systems, modernize service architecture, maintain CI/CD and testing, and implement privacy and security controls. Collaborate with frontend, QA, and product teams, review code, document systems, and mentor developers.

Develop and operate CrowdStrike’s internal cloud management platform and mission-critical CI/CD pipelines. Build APIs and UIs using Go and TypeScript, improve developer productivity, integrate tooling, maintain cloud-native infrastructure, and support secure, highly available software delivery systems. Collaborate with development, infrastructure, security, and SRE teams, ensure SOC2-aware processes, and participate in on-call operations.

Leads full-stack development for account management capabilities, designing secure, scalable cloud-based applications with Vue.js, TypeScript, and Node.js. Responsibilities include developing microservices, improving reliability and observability, integrating AI-assisted engineering workflows, resolving high-priority issues, mentoring engineers, leading technical ceremonies, and maintaining documentation. The role focuses on authentication, identity and access management, invoicing, payment terms, and address book functionality.

Develop scalable test automation frameworks, QA tools, and intelligent testing systems using Playwright, C#, and JavaScript/TypeScript. Integrate automated testing into CI/CD pipelines, build end-to-end, integration, and performance solutions, and apply AI techniques to improve test generation and defect detection. Partner with engineering and QA teams, troubleshoot reliability issues, contribute to test strategy, and mentor colleagues on automation and modern testing practices.

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.

Build and scale Braze's core data object systems, including high-scale ingestion pipelines and backend infrastructure. Develop full-stack features, optimize system performance and costs, and lead complex engineering initiatives. Collaborate in an agile team, apply strong software design and algorithms knowledge, and use AI-assisted tools across product delivery. The role requires technical leadership, communication, organizational skills, and experience building software at scale.

Leads technical customer Proof of Value engagements for Zero Trust Branch solutions. Builds advanced physical and virtual networking labs, troubleshoots complex L2/L3 networking escalations, authors deployment guides and reference architectures, and delivers technical enablement for systems engineers, professional services, and partners. The role requires deep enterprise networking expertise, packet analysis, lab automation, and customer-facing technical validation experience.

Leads multiple software engineering teams building high-volume, resilient payment platforms. Owns technical strategy, enterprise architecture, cloud deployment, system scalability, engineering standards, talent development, and delivery across full-stack technologies. Partners with product and executive leaders to align roadmaps, improve engineering practices, operate distributed systems, and drive innovation using cloud, automation, and AI-enabled development.

Leads technical vision and hands-on engineering for high-volume global payment systems. Designs scalable, resilient distributed platforms; modernizes monoliths into microservices and event-driven architectures; establishes API and design standards; mentors engineers; drives architectural reviews, platform transformations, data migrations, and AI-enabled development across engineering and product organizations.

Designs, builds, and scales software systems, data pipelines, and event-driven services for patient-data de-identification. The role delivers robust cross-stack features, improves architecture and engineering quality, resolves technical dependencies, and collaborates across teams. Responsibilities include project ownership, technical design, code reviews, testing, documentation, mentoring, coaching, and supporting scalable research-ready datasets for precision medicine.

Designs and optimizes AI and machine learning solutions, transforms data into insights, and develops production AI systems. Responsibilities include building data infrastructure, speech recognition and NLP tools, and reusable evaluation and monitoring capabilities. The role independently tests AI systems for performance, robustness, bias, explainability, and failure modes; evaluates technical controls; documents findings; communicates recommendations to clients; and mentors junior team members.

Leads the design, development, testing, and evaluation of AI and machine learning solutions. Directs data analysis, modeling, infrastructure, monitoring, and integration efforts while establishing standards for AI robustness, bias, explainability, failure modes, and technical controls. Manages large projects, advises clients, coaches teams, and develops reusable evaluation tools and evidence workflows for responsible AI deployment.

Design, develop, test, deploy, and support scalable, reliable, secure software solutions. Translate business and product requirements into technical designs, contribute to architecture decisions, improve testing, CI/CD, observability, security, and resilience, and support production systems. Collaborate across teams, resolve technical issues, mentor engineers, communicate tradeoffs, and influence engineering standards. Responsibilities and leadership scope vary across Senior, Staff, and Senior Staff levels.

Leads multiple full-stack engineering teams and major technology initiatives, setting technical strategy, managing engineering talent, and delivering scalable cloud-native systems. Responsibilities include guiding distributed microservices development, defining technology roadmaps, partnering with product and architecture leaders, driving enterprise alignment, mentoring managers and engineers, and overseeing reliable, high-performance implementations using modern programming languages, cloud platforms, databases, containers, and Agile practices.

Designs, administers, maintains, and supports hybrid cloud infrastructure across Azure, VMware, networks, operating systems, databases, and security appliances. Builds CI/CD pipelines and Infrastructure-as-Code deployments, manages Kubernetes and AKS environments, configures cloud-native services, supports disaster recovery, and troubleshoots infrastructure and SQL Server issues. The role also maintains Active Directory, mentors engineers, improves reliability and cost efficiency, supports business applications, and collaborates with technical and business teams.

Develop and maintain scalable SaaS solutions for financial reporting and capital markets customers. Responsibilities include full-stack development, system design, testing, monitoring, performance optimization, security, technical debt reduction, and collaboration with product managers, developers, and SRE teams. The role requires building reliable, secure, maintainable data-driven applications and contributing across the software development lifecycle.

Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.

Lead technical direction and build full-stack AI voice-agent experiences for drivers. Design agent behavior, memory, context sharing, orchestration, arbitration, APIs, and service boundaries. Ship products from concept through production, evaluate AI behavior in real-world use, document architectural tradeoffs, mentor engineers, and establish AI-assisted engineering practices using tools such as Codex, Claude Code, and Cursor.

Lead architecture and development for a new Provider Onboarding engineering domain. Build scalable full-stack, database-backed applications and microservices supporting pricing, payments, client panels, forms, and provider workflows. Mentor engineers, establish design patterns, drive cross-functional delivery across the full software lifecycle, and improve operational reliability for a healthcare platform.