Job Description
Cloud Computing is hiring a Cloud ML Operations Engineer to take on a mid-level mandate with real ownership 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 4-7 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 Cloud Security Fundamentals, Linux Administration, Containerization (Docker/Kubernetes), Networking Basics, AWS/Azure/GCP, while also operating comfortably with ambiguity — you'll be given direction but expected to fill in the details yourself.
The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy. There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
On the qualifications side, we're looking at B.Tech/BE (CS/IT) as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
Benefits are in line with industry norms — health cover, PF, and annual leave, along with periodic performance bonuses.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
Compensation for this position is ₹15.9 - ₹21.1 LPA, commensurate with experience, for a Full-Time engagement based out of Remote (India). Shortlisted candidates will be contacted for the next round of the hiring process.
The mandate centres on cloud ai/ml engineer, and the person in this seat will be expected to bring depth in Cloud Security Fundamentals, Linux Administration, Containerization (Docker/Kubernetes), Networking Basics, AWS/Azure/GCP, while also operating comfortably with ambiguity — you'll be given direction but expected to fill in the details yourself.
The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy. There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
On the qualifications side, we're looking at B.Tech/BE (CS/IT) as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
Benefits are in line with industry norms — health cover, PF, and annual leave, along with periodic performance bonuses.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
Compensation for this position is ₹15.9 - ₹21.1 LPA, commensurate with experience, for a Full-Time engagement based out of Remote (India). Shortlisted candidates will be contacted for the next round of the hiring process.