Top Tech Jobs & Startup Jobs in Chicago, IL

Designs, leads, and supports enterprise network security and infrastructure solutions. Responsibilities include network engineering, NAC, IAM, ZTNA, VPN, certificate and PKI management, secure connectivity, identity-driven access controls, segmentation, highly available distributed environments, platform upgrades, lifecycle management, and capacity planning. The role also evaluates technology solutions and leads cross-functional initiatives focused on performance, reliability, scalability, and capacity.

Evaluates emerging machine learning technologies and designs scalable, secure enterprise architectures covering data ingestion, feature engineering, training, deployment, monitoring, governance, and responsible AI. Partners with engineering, data science, platform, risk, and security teams to establish MLOps standards, reusable solution patterns, and production deployment strategies. Provides technical leadership, evaluates vendors, guides implementation, and translates complex ML architecture recommendations for technical and non-technical stakeholders.

Manage and enhance AML transaction-monitoring models across the full development lifecycle, including data exploration, production deployment, monitoring, tuning, documentation, and validation. Partner with financial-crime teams, model risk management, auditors, regulators, and business stakeholders. Apply statistical and machine-learning techniques to develop anomaly-detection systems, defend methodologies, address validation concerns, and advance the bank’s AML monitoring program.

Owns the strategy, roadmap, prioritization, governance, adoption, and lifecycle of data products supporting reporting, analytics, operational decisions, and AI use cases. Partners with business, engineering, architecture, analytics, and governance teams to translate requirements into scalable data products. Leads backlogs, stakeholder alignment, data quality, metadata, lineage, modernization, cloud migration, KPI definition, and continuous improvement across the Investment Services data domain.

The Payment Sales Consultant role is presented within U.S. Bank’s payments and financial services organization, but the provided posting contains no specific responsibilities or qualifications. It highlights employee benefits, equal employment opportunity, employment verification, background checks, and compliance with applicable banking and financial regulations.

Researches, interprets, validates, and processes mandatory and voluntary corporate actions affecting mutual funds and ETFs. Determines accounting treatment, investigates discrepancies and exceptions, coordinates with custodians and internal stakeholders, maintains controls and documentation, supports audits and training, and identifies process improvements to reduce operational risk and improve efficiency.

Leads the design, development, deployment, and lifecycle management of enterprise Generative AI solutions using LLMs, RAG, agentic workflows, and cloud platforms. Builds scalable Python microservices with Docker, Kubernetes, and infrastructure-as-code tools across Azure and AWS. Establishes GenAIOps, monitoring, security, CI/CD, and governance practices while providing architectural leadership, mentoring engineers, and partnering with product, business, risk, and security stakeholders.

Lead operational health, incident/change/release management, and test automation for the enterprise Workday platform. Coordinate bi-annual releases, tenant migrations, environment governance, and regression testing. Drive automation, monitor KPIs and dashboards, manage stakeholders and vendors, and deliver executive reporting to improve reliability, reduce incidents/MTTR, and increase automated regression coverage.

Designs, develops, tests, operates, and maintains reliable full-stack software products. Owns production-ready code, technical architecture, scalability, performance, security, compliance, and reliability. Establishes API governance standards and lifecycle controls, enables developer adoption through coaching and documentation, and supports GenAI, AI risk, gateways, and MCP initiatives. Collaborates across teams using agile and DevOps practices while conducting code reviews, analyzing failures, and driving continuous improvement.

Designs and builds enterprise API platform capabilities, including backend services, developer portals, API governance, lifecycle management, and automation. Develops Java, Spring Boot, Node.js, React, and TypeScript solutions using microservices, REST, GraphQL, event-driven architecture, and DevSecOps practices. Improves security, reliability, observability, and scalability; integrates responsible AI capabilities; and mentors engineers while contributing to technical strategy and architecture.