Job Description
Cloud Computing is hiring a Senior Cloud AI/ML Platform Specialist to take on a senior mandate within Cloud AI/ML Engineer, operating in a cloud engineering team building and running infrastructure that has to scale reliably. This is a role for someone who is expected to spend 9-14 years building credibility and, over time, own outcomes rather than just tasks.
The mandate centres on cloud ai/ml engineer, and the person in this seat will be expected to bring depth in Networking Basics, CI/CD Pipelines, Linux Administration, Containerization (Docker/Kubernetes), Cloud Architecture Design, while also operating comfortably with ambiguity — senior roles here rarely come with a fully written playbook.
The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest. This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
On the qualifications side, we're looking at Cloud Certifications (AWS/Azure) / MCA as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
The package includes group medical cover, performance-linked bonuses, and standard statutory benefits.
No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
High performers in this role typically move into a broader or more senior position within 18-24 months.
The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
Standard benefits include health insurance, provident fund contributions, and paid time off in line with company policy.
A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
Benefits are in line with industry norms — health cover, PF, and annual leave, along with periodic performance bonuses.
The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
Compensation for this position is ₹27.2 - ₹40.9 LPA, commensurate with experience, for a Full-Time engagement based out of Noida. If this sounds like the kind of senior cloud ai/ml platform specialist role you've been looking for, we'd love to hear from you.
The mandate centres on cloud ai/ml engineer, and the person in this seat will be expected to bring depth in Networking Basics, CI/CD Pipelines, Linux Administration, Containerization (Docker/Kubernetes), Cloud Architecture Design, while also operating comfortably with ambiguity — senior roles here rarely come with a fully written playbook.
The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest. This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
On the qualifications side, we're looking at Cloud Certifications (AWS/Azure) / MCA as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
The package includes group medical cover, performance-linked bonuses, and standard statutory benefits.
No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
High performers in this role typically move into a broader or more senior position within 18-24 months.
The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
Standard benefits include health insurance, provident fund contributions, and paid time off in line with company policy.
A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
Benefits are in line with industry norms — health cover, PF, and annual leave, along with periodic performance bonuses.
The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
Compensation for this position is ₹27.2 - ₹40.9 LPA, commensurate with experience, for a Full-Time engagement based out of Noida. If this sounds like the kind of senior cloud ai/ml platform specialist role you've been looking for, we'd love to hear from you.