IT Manager - Platform Engineering & Data Science

Job summary

Job Posting: Since 1953, Fer*** has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable.

Benefits

Qualifications

• Bachelor’s degree in information technology, computer science or related field preferred, or equivalent experience.
• Must have at least 5 years of hands-on experience in platform engineering.
• Experience in machine learning implementation and data analytics enablement is required.
• You should have broad knowledge of how platform capabilities support integration and innovation across different business domains.
• Must have prior experience directly leading engineering or technical talent, including performance management and career development for direct reports; experience with offshore/onsite consultants preferred.
• Must have direct experience in software programming with Java and/or Python, along with Software Architecture and Engineering expertise.
• Must have experience in secure software delivery (DevSecOps) and continuous integration/continuous deployment (CI/CD), and pipeline development.
• Experience enabling data science and ML workflows using cloud-native tooling (e.g., Vertex AI, BigQuery, or equivalent feature-store, pipeline-orchestration, and model-serving constructs) strongly preferred.
• Must have experience creating operational dashboards, telemetry configurations and alerting templates for end-to-end flow of data services using APM and Data Logging solutions such as AppDynamics, DataDog etc.
• Solid understanding and experience implementing software design patterns and modern standards.
• Must be a hands-on software engineer able to work alongside a cross-functional team of software engineers, software architects, data scientists, and software quality engineers as needed.
• Strong leadership and interpersonal relationship building

Responsibilities

• You will build a career that you are proud of, at a company you can believe in.
• Lead, coach, and develop a high-performing team of platform engineers, architects, and technical specialists.
• Define and execute the platform engineering, cloud, and data science roadmap in support of Fer***'s AI and technology strategy.
• Design, build, and optimize scalable, secure, and reliable platform capabilities across Google Cloud Platform (GCP) and hybrid-cloud environments.
• Partner with AI Engineering, Data Science, Product, and Architecture teams to enable the development, deployment, and operation of AI and machine learning solutions.
• Drive DevSecOps, CI/CD, infrastructure automation, and platform reliability standards to improve delivery speed, quality, and operational efficiency.
• Own and enhance MLOps and data science platform capabilities, supporting model development, training, deployment, and monitoring at scale.
• Establish engineering standards, architecture patterns, API strategies, and reusable platform services that accelerate software delivery.
• Lead platform modernization initiatives, including cloud adoption, developer experience improvements, automation, and legacy technology retirement.
• Manage project delivery, budgets, vendor relationships, and team capacity to ensure successful execution of critical initiatives.
• Supervise platform performance, security, availability, and scalability while proactively identifying and mitigating risks.
• Build strong partnerships with business and technology leaders to align platform investments with organizational priorities.

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