Sr. Engineer, AI and Cloud

Manpower
Southlake, TX, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$145,600.0
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Cloud Computing Scrum Methodology Software Engineering

Job description

  • Collaborate with developers and engineers to support, build, and deliver a critical distributed platform.
  • Facilitate technical discussions and drive solutions to meet business needs while aligning with strategic technology vision.
  • Provide hands-on technical mentoring, promoting best practices in AI and cloud technologies.
  • Engage with business, technology, and operations support teams to identify and mitigate technical risks early.
  • Continuously seek improvements in processes, application time-to-market, and quality standards., * Opportunity to work on impactful projects within a dynamic environment.
  • Engage with cutting-edge AI and cloud technologies to enhance your skill set.
  • Collaborate with a talented and diverse team of professionals.
  • Contribute to innovative solutions that drive business success.
  • Be part of a company recognized for its commitment to diversity and ethical practices.

Requirements

Our client, a leading organization in the financial services industry, is seeking a Sr. Engineer, AI and Cloud to join their team. As a Sr. Engineer, AI and Cloud, you will be part of the Technology Department supporting innovative development initiatives. The ideal candidate will have strong communication skills, adaptability, and a collaborative mindset, which will align successfully in the organization., * 6+ years of software development experience on large-scale enterprise platforms.

  • 4-6+ years of experience in financial services, with knowledge of Margins, Options Expiration, Futures, Violations, and Pledged Asset Loans.
  • 5+ years of experience managing complex projects using Agile methodologies (Scrum/Kanban/Scaled Agile).
  • Bachelor’s degree in technology or a related discipline.
  • Proven ability to deliver solutions consistently and manage project complexity effectively.

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