Top Tech Jobs & Startup Jobs in Chicago, IL

The Sr. Salesforce Architect oversees the design and architecture of Salesforce solutions, collaborates with stakeholders, and drives digital transformation through best practices in development and integration.

Provides advanced production support and development for React applications hosted on Azure. Investigates incidents, telemetry, defects, performance issues, and integrations; develops fixes and enhancements; troubleshoots databases, APIs, authentication, and infrastructure; maintains observability dashboards and operational documentation; supports deployments and participates in on-call rotations. Collaborates with engineering, product, infrastructure, security, vendors, and business teams to improve application reliability, security, scalability, and operational readiness.

Designs, administers, and supports enterprise infrastructure across Azure, private cloud, networks, servers, operating systems, and databases. Builds CI/CD pipelines and Infrastructure-as-Code deployments, manages Kubernetes and AKS environments, configures security and networking services, and supports disaster recovery. The role also handles troubleshooting, monitoring, cost optimization, SQL Server support, ticket resolution, documentation, cross-functional collaboration, mentoring, and infrastructure problem resolution.

Provides strategic employment-law advice to HR and business leaders across the employee lifecycle. Handles workplace investigations, agency matters, pre-litigation claims, employment litigation, arbitrations, and outside counsel oversight. Drafts and negotiates employment agreements, severance documents, releases, and related templates. Advises on wage and hour compliance, accommodations, classification, pay transparency, restrictive covenants, background checks, policies, and emerging employment laws.

Open general application for Inspira Financial where candidates can submit resumes for unspecified roles. Describes remote-state eligibility, in-office expectations for nearby employees, E-Verify/work authorization, company mission, and benefits. Encourages diverse applicants and highlights compensation varies by location, skills, and experience.

Designs, develops, tests, deploys, and supports enterprise Salesforce solutions. Builds secure integrations, contributes to architecture and technical design, troubleshoots production issues, participates in code reviews, mentors developers, and promotes Salesforce engineering, DevOps, CI/CD, security, scalability, and documentation best practices.

Leads product vision, strategy, roadmaps, discovery, prioritization, and delivery for Retirement and Wealth digital products. Translates customer and business needs into measurable solutions, manages OKRs and KPIs, develops business cases, tracks product performance, and collaborates with technology, design, marketing, sales, and business teams. Provides mentorship and supervises product managers and business analysts, including hiring, performance management, workflow oversight, and team development.

Build and deploy governed AI agents, automations, and multi-agent systems for business teams. Responsibilities include identifying AI opportunities, translating needs into requirements, prototyping, integrating enterprise systems, instrumenting telemetry, measuring ROI, monitoring risks and costs, and applying governance controls. The role also develops reusable patterns, documents solutions, enables business users, and communicates lessons learned to the AI Center of Excellence.

Develop scalable full-stack applications, APIs, services, and responsive user experiences using .NET and React. Collaborate with architects, designers, product managers, and engineers throughout the product lifecycle. Participate in technical design, architecture, code reviews, automated testing, documentation, deployment, and continuous improvement while ensuring security, performance, scalability, reliability, and maintainability. Work within an Agile, DevOps-oriented team and contribute to observability, integrations, and peer coaching.

Build and operate enterprise AI platforms, semantic routing, model gateways, agentic workflows, evaluation harnesses, and production AI services. Develop secure, compliant integrations for regulated financial services, optimize AI workload economics, and establish observability, governance, and reliability standards. Prototype emerging capabilities, create reusable architecture components, mentor engineers, lead technical learning, and partner with security, risk, compliance, and data governance teams.