Senior Engineering Manager – Cloud
1 day ago
Are you…
Does the opportunity to work with cutting-edge AI technologies and drive their integration into real-world packaging workflows excite you?
Interested to play a pivotal leadership role in shaping Esko's next-generation Cloud and AI platform?
Are you keen to be part of a global, hybrid work environment collaborating with top engineering talent across Belgium, India, and the US?
If so, read on
Esko, a Veralto company, is a global provider of integrated software and hardware solutions that accelerate the go-to-market process of packaged goods. Our products empower teams to support and manage the packaging design and print processes for brand owners, retailers, pre-media and trade shops, manufacturers, and converters to provide the most innovative, integrated platform and comprehensive portfolio of tools that intelligently digitize, connect, automate, and accelerate the concept to market processes for every packaged product.
You will be part of a flexible, family friendly organization that cares about its people just as it cares about the environment. You will have access to the Veralto's global leadership network and continuous learning ecosystem.
We recognize that people come with a wealth of experience and talent. Diversity of experience and skills combined with passion is a key to innovation and excellence. Therefore, we encourage people from all backgrounds to apply to our positions.
We are looking for a Senior Engineering Manager to lead Esko's Cloud and AI engineering teams in Bangalore. This role will be at the center of Esko's transformation journey — building the Esko's Cloud Platform, driving AI-first capabilities into our product suite, and scaling modern cloud infrastructure and MLOps practices.
You will lead a team of highly skilled engineers, collaborate closely with Product Management, and work cross-functionally with teams across all sites to deliver the platform foundation and AI services that power Esko's future. Role is Hybrid and its preferable to have incumbent based in Bangalore.
In this role, a typical day will look like:
Platform Engineering Leadership
- Lead the design, development, and operations of Esko's Cloud Platform — a multi-tenant, API-first, secure and scalable foundation for Esko's SaaS products.
- Oversee core services, identity & access, observability, DevOps tooling, and cloud infrastructure (Azure and AWS).
- Drive architectural modernization towards containerized, event-driven, and microservices-based systems.
AI Engineering & Enablement
- Build and scale the engineering foundation for AI services, working on projects such as semantic extraction, compliance intelligence, variant generation, and packaging knowledge graph.
- Partner with Product and Data Science to operationalize models — from prototype to production — using MLOps best practices.
- Ensure compliance with Esko's Responsible AI and Data Governance principles.
Technical & People Leadership
- Lead a growing team of 15–20 engineers and tech leads across cloud, AI, and platform enablement domains.
- Recruit, coach, and develop talent to strengthen Esko's engineering excellence in India — driving upskilling, mentoring, and career progression (P1–P4 level growth).
- Foster a culture of ownership, quality, and experimentation, balancing velocity with stability.
Cross-functional Collaboration
- Partner with Product Management, Architecture, Security, and R&D leadership to define the platform roadmap and align on AI priorities.
- Work closely with Esko's product teams (WebCenter, Automation Engine, Comply, etc.) to ensure platform adoption and reuse.
- Act as the technical interface to key vendor and cloud partners (e.g., AWS, Microsoft Azure, OpenAI).
Required Skills & Qualifications
- 15+ years of total experience, with at least 5+ years in technical leadership and engineering people management.
- Proven track record in building and scaling cloud-native platforms (Azure/AWS), preferably in SaaS or enterprise software.
- Hands-on experience with Kubernetes, Terraform, CI/CD, API management, and observability tooling.
- Strong understanding of AI/ML systems, data pipelines, LLM integration, and MLOps practices.
- Exposure to Responsible AI frameworks, security, and compliance in enterprise environments.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Preferred Qualifications
At Esko, a Veralto Company, innovation comes in every color and never in the same package. Join Esko and see how diversity of people and thought fuels a career journey like no other. Create unique technology solutions for the packaging value chain, bring new ideas to life, make and influence decisions, and experience career growth, rewards, and recognition in our global Packaging & Color organizations.
Esko is proud to be a Product Quality & Innovation company in Veralto (NYSE: VLTO). Imagine a world where everyone has access to clean water, safe food and medicine, and trusted essential goods. That is the tomorrow Veralto is creating today. Veralto is a $5B global leader in essential technology solutions made up of over 16,000 associates across our Water Quality and Product Identification segments all united by a powerful purpose: Safeguarding the World's Most Vital Resources.
At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
Unsolicited Assistance
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.
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