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Automation Lead - L1

Today Philadelphia, PA

Req Id: 96488

City: Philadelphia

State/Province: Pennsylvania

Posting Start Date: 9/15/25

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description

Role Summary:
We are seeking a forward-thinking AI and Data Automation Lead to enhance the reliability, scalability, and performance of our cable service applications through intelligent automation and data-driven engineering. This role will focus on applying AI/ML and automation to proactively detect issues, optimize application behavior, and ensure seamless customer experiences across broadband, video, and voice platforms.

Key Responsibilities

Reliability Engineering & Automation
Lead the design and implementation of AI-driven observability and automation frameworks for critical cable service applications.
Develop predictive models for incident prevention, root cause analysis, and performance optimization.
Automate operational workflows including deployment validation, anomaly detection, and self-healing mechanisms

Data Engineering & Insights
Build and maintain data pipelines to ingest logs, metrics, and traces from distributed systems and customer-facing platforms.
Apply advanced analytics to identify patterns, reduce MTTR, and improve service uptime.
Ensure data quality, governance, and compliance with industry and regulatory standards

Collaboration & Leadership
Partner with software engineering, network operations, and customer experience teams to align reliability goals with business outcomes.
Work with a team of automation engineers and data scientists focused on application reliability.
Drive adoption of AIOps and SRE best practices across the organization

Innovation & Continuous Improvement
Evaluate and integrate emerging technologies such as generative AI, edge analytics, and intent-based automation.
Continuously refine reliability metrics (SLIs/SLOs) and improve incident response processes.
Collaborate with vendors and platform teams to scale automation across hybrid environments.

Preferred Skills:
Certifications in SRE, AI/ML, cloud platforms (AWS/Azure/GCP), or cable technologies (e.g., SCTE).
Experience with CI/CD pipelines, incident management platforms, and customer experience analytics.
Familiarity with ITIL, TM Forum, and DevOps/SRE methodologies.

Mandatory Skills: AI ML Ops Infrastructure .

Experience: 5-8 Years .

Expected annual pay for this role ranges from $60,000 to $135,000 . Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

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Client-provided location(s): Philadelphia, PA
Job ID: Wipro-96488
Employment Type: OTHER
Posted: 2025-09-16T18:39:50

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion