Sr. DevOps Engineer L3

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

  Job Description:

We are looking to recruit engineers with zeal to learn cloud solutions using Amazon Web Services (AWS). We\'ll prefer an engineer who is passionate about AWS Cloud technology, passionate about helping customers succeed, passionate about quality and truly enjoys what they do. The qualified candidate for AWS Cloud Engineer position is someone who has a can-do attitude and is an innovative thinker.

• Be a hands on with responsibilities for the installation, configuration, and ongoing management of Linux based solutions on AWS for our clients.
• Responsible for creating and managing Autoscaling EC2 instances using VPCs, Elastic Load Balancers, and other services across multiple availability zones to build resilient, scalable and failsafe cloud solutions.
• Familiarity with other AWS services such as CloudFront, ALB, EC2, RDS, Route 53 etc. desirable.
• Working Knowledge of RDS, Dynamo DB, Guard Duty, WAF, Multi tier architecture.
• Proficient in working on Git, CI CD Pipelined, AWS Devops, Git, Bit Bucket, Ansible.
• Proficient in working on Docker Engine, Containers, Kubernetes .
• Expertise in Migration workload to AWS from different cloud providers
• Should be versatile in problem solving and resolve complex issues ranging from OS and application faults to creatively improving solution design
• Should be ready to work in rotation on a 24x7 schedule, and be available on call at other times due to the critical nature of the role
• Fault finding, analysis and of logging information for reporting of performance exceptions
• Deployment, automation, management, and maintenance of AWS cloud-based production system.
• Ensuring availability, performance, security, and scalability of AWS production systems.
• Management of creation, release, and configuration of production systems.
• Evaluation of new technology alternatives and vendor products.
• System troubleshooting and problem resolution across various application domains and platforms.
• Pre-production acceptance testing for quality assurance.
• Provision of critical system security by leveraging best practices and prolific cloud security solutions.
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
• Designing, maintenance and management of tools for automation of different operational processes.

Desired Candidate Profile

o    Customer oriented personality with good communication skills, who is able to articulate and communicate very effectively verbally as well as in written communications.

o    Be a team player that collaborates and shares experience and expertise with the rest of the team.

o    Understands database system such as MSSQL, Mongo DB, MySQL, MariaDB, Dynamo DB, RDS.

o    Understands Web Servers such as Apache, Ningx.

o    Must be RHEL certified.

o    In depth knowledge of Linux Commands and Services.

o    Efficiency enough to manage all internet applications inclusive FTP, SFTP, Ningx Apache, MySQL, PHP.

o    Good communication skill.

o    Atleast 3-7 Years of experience in AWS and Devops.

  Company Profile:

i2k2 Networks is a trusted name in the IT cloud hosting services industry. We help enterprises with cloud migration, cost optimization, support, and fully managed services which helps them to move faster and scale with lower IT costs. i2k2 Networks offers a complete range of cutting-edge solution that drives the Internet-powered business modules. We excel in:

  - Managed IT Services

  - Dedicated Web Servers Hosting

  - Cloud Solutions

  - Email Solutions

  - Enterprise Services

  - Round the clock Technical Support

   https://www.i2k2.com/">https://www.i2k2.com/

   Regards

   Nidhi Kohli

   i2k2 Networks Pvt Ltd.

   AM - Talent Acquisition

Senior DevOps Engineer

Experience: Minimum 5 years of relevant experience

Key Responsibilities:

 • Hands-on experience with AWS tools and CI/CD pipelines, Redhat Linux

 • Strong expertise in DevOps practices and principles

 • Experience with infrastructure automation and configuration management

 • Excellent problem-solving skills and attention to detail

Nice to Have:

 • Redhat certification

Devops Engineer

Roles and Responsibilities:

As a DevOps Engineer, you’ll be responsible for ensuring that our products can be seamlessly deployed on infrastructure, whether it is on-prem or on public clouds.

• Create, Manage and Improve CI / CD pipelines to ensure our Platform and Applications can be deployed seamlessly
• Evaluate, Debug, and Integrate our products with various Enterprise systems & applications
• Build metrics, monitoring, logging, configurations, analytics and alerting for performance and security across all endpoints and applications
• Build and manage infrastructure-as-code deployment tooling, solutions, microservices and support services on multiple cloud providers and on-premises
• Ensure reliability, availability and security of our infrastructure and products
• Update our processes and design new processes as needed to optimize performance
• Automate our processes in compliance with our security requirements
• Manage code deployments, fixes, updates, and related processes
• Manage environment where we deploy our product to multiple clouds that we control as well as to client-managed environments
• Work with CI and CD tools, and source control such as GIT and SVN. DevOps Engineer

Skills/Requirements:

• 2+ years of experience in DevOps, SRE or equivalent positions
• Experience working with Infrastructure as Code / Automation tools
• Experience in deploying, analysing, and debugging on multiple environments (AWS, Azure, Private Clouds, Data Centres, etc), Linux/Unix administration, Databases such as MySQL, PostgreSQL, NoSQL, DynamoDB, Cosmos DB, MongoDB, Elasticsearch and Redis (both managed instances as well as self-installed).
• Knowledge of scripting languages such as Python, PowerShell and / or Bash.
• Hands-on experience with the following is a must: Docker, Kubernetes, ELK Stack
• Hands-on experience with at least three of the following- Terraform, AWS Cloud Formation, Jenkins, Wazuh SIEM, Ansible, Ansible Tower ,Puppet ,Chef
• Good troubleshooting skills with the ability to spot issues.
• Strong communication skills and documentation skills.
• Experience with deployments with Fortune 500 or other large Global Enterprise clients is a big plus
• Experience with participating in an ISO27001 certification / renewal cycle is a plus.
• Understanding of Information Security fundamentals and compliance requirements

Work From Home

Start Up Background is preferred

Company Location: Noida

Our Client is a B2B2C tech Web3 startup founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech.
Vision: Our Client aims to change the way that customers, creators, and retail investors interact and transact at brands of all shapes and sizes. Essentially, becoming the Web3 version of brands driven social ecommerce & investment platform.

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

Requirements

• Design, write and build tools to improve the reliability, latency, availability and scalability of HealthifyMe application.

• Communicate, collaborate and work effectively across distributed teams in a global environment

• Optimize performance and solve issues across the entire stack: hardware, software, application, and network.

• Experienced in building infrastructure with terraform / cloudformation or equivalent.
• Experience with ansible or equivalent is beneficial
• Ability to use a wide variety of Open Source Tools
• Experience  with AWS is a must.
• Minimum 5 years of running services in a large scale environment.
• Expert level understanding of Linux servers, specifically RHEL/CentOS.
• Practical, proven knowledge of shell scripting and at least one higher-level language (eg. Python, Ruby, GoLang).
• Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, etc)
• Demonstrable knowledge of TCP/IP, HTTP, web application security, and experience supporting multi-tier web application architectures.

Look forward to

- Working with a world-class team.

- Fun & work at the same place with an amazing work culture and flexible timings.

- Get ready to transform yourself into a health junkie

Join HealthifyMe and make history!