IT Manager - Platform Engineering & Data Science

Accountabilities: As the IT Manager - Platform Engineering & Data Science, you will lead platform strategy, engineering execution, and team development to support advanced technology initiatives. You will be responsible for driving scalable solutions, improving engineering practices, and enabling teams to deliver secure and reliable AI and software capabilities.

Lead, mentor, and develop a high-performing team of platform engineers, architects, and technical specialists.

Define and execute platform engineering, cloud, and data science roadmaps aligned with technology and business objectives.

Design, build, and optimize scalable platform capabilities across Google Cloud Platform (GCP) and hybrid-cloud environments.

Partner with AI engineering, data science, product, architecture, and IT teams to enable machine learning and software delivery initiatives.

Drive DevSecOps practices, CI/CD automation, infrastructure improvements, and platform reliability standards.

Own and enhance MLOps capabilities supporting model development, deployment, monitoring, and scaling.

Establish engineering standards, architecture patterns, API strategies, and reusable platform services.

Lead cloud modernization initiatives, automation efforts, developer experience improvements, and technology transformation projects.

Manage project execution, budgets, vendor relationships, and team capacity planning.

Monitor platform performance, security, availability, and scalability while proactively addressing risks.

Build strong relationships with business and technology stakeholders to align investments with strategic priorities.

Stay current with emerging cloud, AI, data, and engineering technologies to drive continuous improvement.

Requirements:

The successful candidate will bring extensive experience in platform engineering, software development, cloud technologies, and technical leadership. This role requires a combination of hands-on engineering expertise, strategic thinking, and the ability to lead cross-functional teams.

Bachelor’s degree in information technology, computer science, or a related field preferred, or equivalent professional experience.

Minimum of 5 years of hands-on experience in platform engineering, including experience supporting machine learning implementations and data analytics enablement.

Proven experience leading engineering or technical teams, including performance management and career development.

Strong programming experience with Java and/or Python, combined with software architecture and engineering expertise.

Experience implementing secure software delivery practices, DevSecOps, CI/CD pipelines, and automation frameworks.

Hands-on experience designing and operating cloud platforms, particularly Google Cloud Platform (GCP), with knowledge of Azure hybrid-cloud environments.

Experience enabling data science and machine learning workflows using cloud-native tools such as Vertex AI, BigQuery, or similar technologies.

Familiarity with operational monitoring, telemetry, alerting, and application performance management solutions.

Strong understanding of software design patterns, modern engineering standards, and scalable architecture practices.

Ability to contribute hands-on alongside engineers, architects, data scientists, and quality teams.

Strong leadership, communication, presentation, and stakeholder management skills.

Self-motivated mindset with the ability to identify opportunities, solve complex problems, and drive initiatives independently.

Benefits:

The role offers a competitive compensation package and a range of benefits designed to support professional growth, financial security, and overall well-being.

Estimated monthly salary range of approximately $7,568.91 to $13,247.76, depending on qualifications, experience, and location.

Bonus or incentive plan eligibility.

Remote work flexibility within the United States or hybrid options where applicable.

Medical, dental, and vision insurance options.

401(k) retirement plan with company match.

Paid time off and paid holidays.

Life insurance and additional financial protection programs.

Mental health resources and wellness support.

Paid parental leave and family-focused benefits.

Professional development opportunities and career growth support.

Employee discounts and community involvement opportunities.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1