Position Overview: 

We are looking for a lead cloud engineer who has got good experience working with atleast 5 Plus years of experience in AWS and in building cloud components and preferably comes from a development background. 

Roles and Responsibilities: 

• You will be responsible for the development of cloud agnostic control tower/landing zone platform.
• You will be responsible for the development of terraform based reusable cloud native infra as a code platform.
•  You will be responsible along with the team in rolling out continuous observability across different cloud providers.
•   You will be responsible along with the team in setting up best in class security posture on the cloud.
• You will be responsible for the development of tools and code bases that contribute to the development of platform under platform engineering initiatives for different teams .
•  You will be responsible for participating in Cloud and DevOps architecture connects.
• You will be responsible for mentoring junior resources with right coding best practices as an individual contributor.
•  You will be responsible along with the team for delivering infra platforms across different projects.
• You will be responsible along with the team for documenting processes and best practices to ensure knowledge sharing across the team.

Must Have Skills:

• Experience: Around 8 years of total experience, including at least 5 years of hands-on experience in cloud architecture and infrastructure engineering — specifically in building and implementing cloud environments, not merely deploying applications on the cloud.
• Expertise in DevOps & Cloud tools
• Hands-on experience with Infra as a code tools like terraform, ansible, puppet, chef, cloud formation , etc..
• Expertise in any Cloud (AWS) 
• Good understand of version control (Git, Gitlab, GitHub)
• Hands-on experience in Container Infrastructure (Docker, Kubernetes)
• Ability to define container-based environment topology following principles of designing a well-architected framework.
• Ensuring availability, performance, security and scalability of production system
• Hands on implementation experience in AWS control tower and at least 2 implementations
• Hand on experience with Artifact repositories (Nexus, JFrog Artifactory) ·
• Hands on experience with CI/CD tools on-premises/cloud (Jenkins, CircleCI, etc. )
• Hands on experience with Monitoring, Logging, and Security (CloudWatch, cloud trail, log analytics, hosted tools such as ELK, EFK, Splunk, Datadog, Prometheus,)
• Hands-on experience with scripting languages like Python, Ant, Bash, and Shell
• Hands-on experience in designing pipelines & pipelines as code.
• Hands-on experience in end-to-end deployment process & strategy
• Hands-on experience of AWS with a good understanding of computing, networks, storage, IAM, Security, and integration services
• Capability to write complex code - e.g., automation of recurring/mundane tasks,
• Good understand of OS administration (CPU, memory, network performance troubleshooting), also demonstrates strong troubleshooting skills ·
• Demonstrates HA/DR design on Cloud platform as per SLAs/RTO/RPO
• You should have solid understanding of Terraform, understanding of usage and creation of terraform modules
• Good exposure on AWS CLI and SDK like boto3, azure SDK, etc..s
• Good understanding of AWS networking (VPC, security group, routing, TGW and vpc peering
• Good understanding services like RDS – Mysql, MongoDB, Document DB, Postgres,
• Good understanding of Kubernetes self-managed clusters, Fargate, S3, NLB, ALB, API gateways, route 53, WAF, Advance shield, Lambda and KMS.

Qualification: 

• BE/B.Tech or equivalent degree in Computer Science or related field. 

Location: 

• Noida

BOLD is seeking for Devops professional to own the production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

ABOUT THIS TEAM

Infrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization.

WHAT YOU’LL DO

• Design and maintain end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. 
• Productionize ML/GenAI services, collaborating with data scientists on model serving and workflow optimization. 
• Implement monitoring, alerting, and observability to reduce MTTR and ensure production reliability. 
• Manage data/feature stores and search infrastructure for scalable ML inference. 
• Automate CI/CD for ML models and infrastructure with governance and security compliance. 
• Handle security patching, cost optimization, and 24x7 on-call rotations for critical services. 
• Coordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes.​ 

WHAT YOU’LL NEED

• 4.5+ years (Sr Engineer)/7+ years (Module Lead) in AWS MLOps with hands-on SageMaker (Pipelines, Model Registry, Studio), EMR, OpenSearch (kNN/vector search). 
• Python/Bash scripting for CI/CD, provisioning, monitoring of  FastAPI/Spring Boot web services; and Linux servers (Solr/OpenSearch). 
• AWS services (S3, DynamoDB, Lambda, Step Functions) with cost control, reporting; databases (MySQL, MongoDB). 
• Strong Linux and networking fundamentals;  
• Hands-on expertise in ML tools (MLFlow, Airflow, Metaflow, ONNX).​ 

EXPERIENCE-

• MLOps Sr. Engineer, DevOps - 4.5+ years 

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