Cloud Platform & AI Engineer

2h2 hours ago

Ciena

Gurugram, IN · Full-time · INR 1,800,000 – INR 2,500,000

About this role

Ciena is seeking a Cloud Platform & AI Engineer to join the IT Cloud Infrastructure team and help enable secure, scalable, and intelligent use of public cloud technologies across the organisation. This role plays a critical part in advancing cloud automation, security, compliance, and AI capabilities.

You will design and evolve automation frameworks for public cloud infrastructure deployments at scale. Day-to-day work involves enabling secure cloud adoption by automating governance, audit, security, and compliance controls, as well as using, developing, and maintaining AI services on the AWS platform.

You will build and maintain infrastructure and application monitoring to detect, prevent, and respond to incidents, and drive cloud reliability, performance, and cost optimisation. The team fosters a people-first culture with a focus on flexible work, individual growth, well-being, and belonging.

This position is remote, with flexibility to transition to a hybrid model if business needs evolve. Ciena leads with humanity—driving business priorities alongside meaningful social, community, and societal impact, making this an opportunity to grow in a supportive environment.

Requirements

4+ years of overall professional experience, including 2+ years supporting multi-account Amazon Web Services (AWS) platform infrastructure
Efficient in use and maintenance of AWS AI services like Bedrock and SageMaker, with strong proficiency in AI/ML concepts
Proficiency in object-oriented programming and SOLID design principles with hands-on experience in Python, JavaScript/TypeScript, Ruby, Java, or Go
Strong experience with infrastructure as code (IaC), automation, and continuous integration/continuous delivery (CI/CD) pipelines
Demonstrated knowledge of public cloud security best practices, tooling, and risk identification
Working knowledge of networking fundamentals including DNS, load balancing, SSL, and TCP/IP
Hands-on experience with container technologies including Docker and Kubernetes (preferred)

Responsibilities

Design and evolve automation frameworks for public cloud infrastructure deployments at scale
Enable secure cloud adoption by automating governance, audit, security, and compliance controls
Use, develop, and maintain AI services across the AWS platform (Cloud Native)
Build and maintain infrastructure and application monitoring to detect, prevent, and respond to incidents
Drive cloud reliability, performance, and cost optimisation through best practices and continuous improvement
Develop tools and mechanisms that eliminate repetitive operational tasks and improve engineering efficiency
Review code, assess technical implementations, and provide actionable feedback to improve platform tooling
Participate in on-call rotations and serve as an escalation point for cloud service incidents

Benefits

Flexible work environment that empowers individual growth, well-being, and belonging
Remote-first role with option to transition to hybrid if business needs evolve
People-first culture focused on prioritising meaningful social, community, and societal impact
Commitment to diversity, equity, and inclusion with equal opportunity employment