Top Staff Software Engineer Jobs in Chicago, IL

Design, build, and own scalable microservices and secure APIs that transfer value across blockchain and banking protocols. Extend in-house blockchain infrastructure, integrate with banks and cloud services, troubleshoot production issues, document system and testing procedures, and collaborate with product and engineering teams to deliver reliable payment experiences.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

Leads high-impact full-stack initiatives for Braze’s AI Decisioning products, building polished dashboard experiences, APIs, data models, background jobs, and services connected to machine-learning pipelines. Shapes web architecture for scalability and performance, influences product strategy, mentors engineers, drives technical consensus, and supports teams implementing AI solutions. Requires strong TypeScript and React expertise, scalable web application architecture experience, agentic development proficiency, and effective cross-functional communication.

Architect and build microservices using Node.js and Rust, work with cross-functional teams to deliver quality customer-focused features, and improve agile processes.

Senior individual-contributor full-stack engineer who designs, builds, and ships end-to-end product features. Leads technical direction, modernizes legacy systems, debugs distributed systems, owns production reliability and on-call, and mentors engineers. Drives AI-native development adoption while collaborating with Product and Design and improving team practices, observability, testing, and deployment workflows.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.

Build and operate reliable, scalable cloud infrastructure supporting Webflow products. Lead initiatives that improve reliability, reduce incident and triage load, and optimize cost and performance across multi-region environments. Develop infrastructure automation, modernize services, improve on-call and incident response, collaborate with product engineering teams, participate in design reviews, and mentor junior engineers. The role requires expertise in cloud platforms, containers, infrastructure as code, Cloudflare tooling, distributed systems, and software development.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.

The Staff Software Engineer will lead technical strategy, ensure system availability, and develop backend systems at scale, collaborating across teams to drive capacity modeling and operational quality.

The Engineering Manager for Developer Productivity will lead a remote team to enhance developer productivity, focusing on AI integration, tooling evaluation, and team development while collaborating with cross-functional partners.

Lead cross-pod technical direction and system design for high-scale backend services, embed AI-native development practices, collaborate with product and design, mentor engineers, and drive ambiguous initiatives from design through production.

Design and implement Kotlin backend services and end-to-end systems for Toast POS device management. Lead technical designs, estimations, performance optimization, cross-team collaboration, and software quality practices including modern testing and observability. Mentor peers and drive product roadmap alignment with product, hardware, and QA stakeholders.

Design, architect, and implement large-scale, reliable, and secure software systems for Customer Information Management. Partner with product and architecture teams, ensure code quality, CI/CD, testing, and observability, drive operational resilience, mentor engineers, and influence cross-team technical direction.

Lead the design and evolution of predictive maintenance platform, build and scale ML-powered features, and mentor other engineers.

Lead full‑stack development and architecture for Spark’s broker platform. Deliver customer‑facing features, partner with product/design, mentor engineers, resolve technical debt, and set engineering standards while using AI developer tools.

Design, build, and operate backend systems for prediction markets, including order management, trade matching, settlement, and market resolution. Architect distributed, low-latency systems with strict financial correctness, lead multi-quarter technical projects, mentor engineers, and collaborate with Product, Compliance, and Risk to meet regulatory requirements.

Own architecture and delivery of core ledger and transaction processing systems. Design and build highly available, high-performance backend services, drive cross-team technical initiatives, establish platform standards, mentor engineers, and embed AI to improve operations and workflows.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Lead design and development of scalable, cloud-native AI healthcare payment integrity platforms. Provide technical leadership, own production code and releases, design data/retrieval architectures, ensure observability, security, and compliance, and collaborate with ML, product, and architecture teams to deliver performant SaaS solutions.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.

Lead technical strategy and delivery for backend marketplace/search systems. Collaborate with PM, design, and analytics; own operational reliability, monitoring, on-call, testing, and runbooks; set code/design standards; drive major feature delivery and deprecations; mentor and develop engineering talent.

Design, implement, and optimize high-performance backend systems in Rust for an xOT security platform. Participate across the development lifecycle—debugging, testing, and performance tuning—while integrating relational and NoSQL data stores, microservices, third-party devices, and AI tools. Provide technical leadership, code review feedback, and promote secure, reliable, observable distributed systems.

Serve as the technical IC leader for the Provider organization: set technical roadmap and engineering standards, design and review architectures, drive cross-team initiatives, mentor engineers, and deliver high-throughput, low-latency, cloud-based microservice systems for provider-focused products.