Top Senior Engineer Jobs in Chicago, IL

Lead design and implementation of data architecture and scalable storage solutions, drive AI/GenAI thought leadership, oversee data governance and security, translate business requirements into technical plans, implement FastAPI endpoints, enhance LLMs through prompt engineering, and manage cross-functional teams to deliver advanced data and AI solutions.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Lead cloud security direction and standards across AWS, GCP, and self-managed Kubernetes. Own threat modeling, secure architecture, detection engineering, incident response, and vulnerability management. Harden IaC and CI/CD (Terraform), secure Kubernetes control plane and runtimes, and mentor other engineers while driving cross-functional security initiatives and tooling adoption.

Lead design, development, testing and deployment of backend microservices and RESTful APIs on a cloud platform (AWS). Provide technical leadership, mentor developers, perform code reviews, drive high-quality software delivery, and contribute to Agile cross-functional teams.

The Data Engineer III will design, build, and optimize data pipelines and backend systems, integrating with SAP and supporting analytics applications. Responsibilities include developing ETL workflows, backend applications, and ensuring data quality.

Lead and grow multiple product-focused engineering teams to design, build, deploy, and operate resilient, scalable full-stack and backend systems. Drive architecture decisions, microservices adoption, AWS deployments, engineering best practices, and mentor technical talent while collaborating with product managers to deliver partner-focused credit experiences.

Leads AI technology integration and deployment within the tax practice. Oversees data infrastructure, pipelines, modeling, quality validation, and multi-source integration. Develops Python-based analytics solutions using machine learning and natural language processing, conducts rapid experimentation, and drives data-informed innovation. Coaches and develops high-performing teams while collaborating with stakeholders and advising on strategic initiatives.

Design and implement AI systems and scalable machine learning models, perform data wrangling and software engineering to deploy AI solutions, interpret data for client recommendations, collaborate across teams, uphold technical standards, and build client relationships while navigating complex, ambiguous problems.

Design and implement secure AWS-based systems, integrate DevSecOps practices, manage security incidents, run vulnerability assessments, and support CI/CD using CloudFormation, Terraform, GitHub, and Jenkins while collaborating with clients and cross-functional teams.

Lead design and delivery of enterprise integrations, automation, and AI-enabled workflows across SaaS platforms. Architect scalable APIs, conversational IT/self-service experiences, and agentic LLM workflows while partnering with Security, Infrastructure, and Product to ensure governance, reliability, and operational excellence.

Develop and maintain middleware platforms supporting the myQ residential and commercial products. Lead Agile Scrum development, translate product requirements into technical solutions, assess and manage code changes, collaborate with architects and cross-functional teams, guide offshore engineers, reduce technical debt, uphold coding standards, and mentor junior developers. The role also includes technical design, documentation, troubleshooting, project estimation, progress reporting, and compliance with information security requirements.

Design, develop, and maintain middleware components, APIs, and platform services for the myQ ecosystem. Lead and mentor 2–3 software engineers, coordinate Scrum delivery, review code, assess requirements, and collaborate with product, infrastructure, DevOps, firmware, database, and front-end teams. Create reusable cloud-based software, maintain CI/CD practices, contribute to architecture and design reviews, document technical solutions, and ensure compliance with security and data-protection standards.

Develop and maintain middleware platforms for the myQ residential and commercial products. Translate product requirements into technical designs, lead Agile development and offshore teams, manage codebase changes and technical debt, ensure coding standards and security compliance, and collaborate with product, architecture, infrastructure, database, QA, and firmware teams. Mentor engineers, participate in technical reviews, troubleshoot issues, document solutions, and support project estimation and progress reporting.

The Senior DevOps Engineer supports development teams with DevOps tooling, standards, best practices, and technical guidance. Responsibilities include creating and troubleshooting CI/CD pipelines, deploying AWS cloud infrastructure through Infrastructure as Code, resolving IAM and networking issues, advising developers on SDLC practices, and collaborating on cross-team DevOps initiatives. The role also communicates recommendations and solutions to product owners and software development managers.

Build and operate production AI applications and shared platform capabilities using AWS Bedrock and Python. Develop AI agents, MCP servers, APIs, and distributed services; integrate AI into existing workflows; evaluate retrieval, tool-use, and orchestration approaches; and improve reliability, security, observability, and maintainability. Partner with technical and business stakeholders to identify opportunities, guide technical decisions, support delivery planning, and mentor less experienced engineers.

Leads QA strategy, automation, testing processes, and a team of QA engineers across SaaS and on-premises products. Develops automated tests, manages regression suites, validates releases, monitors quality metrics, reviews requirements and automation code, and drives continuous process improvement. Collaborates with developers, product managers, operations, and stakeholders across Agile projects while mentoring staff and ensuring adherence to quality and release standards.

Define tastytrade’s SRE practice, including customer-focused SLOs, error budgets, burn-rate alerts, observability standards, and production readiness reviews. Embed reliability patterns in Ruby, Java, and Elixir services running on HashiCorp Nomad. Extend Prometheus, Honeycomb, and OpenTelemetry observability; conduct fault-injection and tabletop exercises; strengthen on-call and incident-review processes; and mentor engineering teams in reliability practices.

Lead mobile architecture and development using Flutter and Dart across iOS and Android. Own features from implementation through testing, release, monitoring, and troubleshooting. Shape technical roadmaps, participate in architecture and performance discussions, improve observability and crash analytics, and collaborate with Product and Design. Mentor engineers and promote technical excellence, reliability, maintainability, and strong engineering practices.

Lead data engineering teams in designing, developing, testing, implementing, and supporting cloud-based data solutions. Build distributed, full-stack, machine-learning-enabled systems using Java, Scala, Python, relational and NoSQL databases, streaming technologies, and cloud data warehouses. Collaborate with product managers and Agile teams, conduct code reviews and unit testing, optimize performance, mentor engineers, and adopt emerging technologies and interactive AI tools.

Design, build, and maintain developer APIs and tooling for Kafka; refactor Java/Spring code; implement CI/CD pipelines; ensure platform reliability and incident response; support high-volume Kafka platform operations; deploy secure cloud-native services on OpenShift using Kubernetes and observability tools like Datadog.

As a Senior Software Engineer, you'll lead high-impact projects, own the full lifecycle of software development, mentor engineers, and collaborate cross-functionally to enhance systems and customer experiences.

As a Senior z/OS Platform Engineer, you will enhance mainframe software systems, support infrastructure tasks, and mentor team members.

Build and scale systems powering in-app Content Cards: develop features, improve reliability and performance, drive architectural decisions, and deliver personalized, real-time in-product messaging and analytics alongside product and UX teams.

Lead and mentor a team building high-throughput, resilient distributed microservices and full-stack cloud solutions for global payment processing. Collaborate with product managers, design scalable systems, ensure observability and reliability, and occasionally code, evaluate, and modernize platforms using cloud, container orchestration, and multiple programming languages.

Design, develop, and administer advanced analytics dashboards, BI reporting, and data views. Partner with stakeholders to gather requirements, deliver production analytics, perform root-cause analyses, support data governance, and enable self-service analysis across laboratory, operations, and engineering teams.