1323 Sr Java Developer Management jobs in Chicago,IL

Accenture

Chicago, IL 60629

Aramco

Chicago, IL 60290

Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related field.
Minimum of 15 years in IT, with at least 4 years in a Solution Architect or Lead Data Engineer role.
Proven track record of delivering at least two large-scale enterprise data platform migrations or greenfield builds.

J.A. Watts, Incorporated

Chicago, IL 60607

A bachelor's degree in construction management, architecture or engineering, or equivalent work experience
Project Management certification (PMP, PMI), EIT or Professional Engineer preferred
5-10 years of experience managing projects at an airport
5-10 years experience working directly with stakeholders (airlines/aiports)
Experience in all levels of construction project processes from start to closeout at an airport
Strong ability to read, understand/interpret construction drawings/details
Strong knowledge of airport operations
Valid Drivers License required
Able to pass a background check to obtain badging at airports
Experience as a leader managing a team of direct reports, mentor, and problem solver with a commitment to excellence
Extensive knowledge and understanding of contract management and budgeting/estimating
Advanced interpersonal, administrative, and organizational skills; including the ability to work with diverse personalities to negotiate and resolve conflict
Excellent communication and influencing skills
Demonstrated ability to develop and sustain effective working relationships with managers, peers, and subordinates
Experience using MS Office suite and industry related project management scheduling software

Intersport

Chicago, IL 60629

Guidehouse Careers

Chicago, IL 60629

Ulta Beauty

Bolingbrook, IL 60440

Bachelor's degree in computer science, a related field, or applicable work experience.
10+ years of experience in software development or architecture; minimum of 3+ years in a leadership role
Deep knowledge of AI/ML ecosystems
Experience designing MLOps pipelines and AI Ops frameworks at enterprise scale
Strong understanding of cloud-native architecture (AWS, Azure, Databricks or GCP), MLOps frameworks, and CI/CD principles
Experience with multi-agent architecture concepts: orchestration patterns, tool/skill registry, memory and state management, and agent observability
Experience setting technical standards and coordinating across distributed engineering teams
Proven ability to lead cross-functional engineering teams and deliver enterprise-scale AI solutions.
Comfortable navigating new, novel technology solutions and managing ambiguity to deliver in evolving domains
Familiarity with security and compliance standards for platform operations.
Strong analytical and problem-solving skills with a data-driven mindset.
Excellent communication, project management, and stakeholder engagement skills.
Comfortable with presenting up to senior leadership (VP+ level); able to present technical concepts to non-technical and executive levels