DevOps

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)

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

• 3+ years of relevant experience
• 2+ years experience with AWS (EC2, ECS, RDS, Elastic Cache, etc)
• Well versed with maintaining infrastructure as code (Terraform, Cloudformation, etc)
• Experience in setting CI/CD pipelines from scratch
• Knowledge of setting up and securing networks (VPN, Intranet, VPC, Peering, etc)
• Understanding of common security issues

Who we are :

Stanza Living is India's largest and fastest growing tech-enabled, managed accommodation company that delivers a hospitality-led living experience to migrant students and young working professionals across India. We have a full-stack business model that focuses on design, development and delivery of daily living solutions tailored to the young consumers' lifestyle. From smartly-planned residences, host of amenities and services for hassle-free living to exclusive community engagement programmes - everything is seamlessly integrated through technology to ensure the highest consumer delight.

Today, we are :

• India's largest managed accommodation company with over 75,000+ beds under management across 25+ cities
• Most capitalized player in the managed accommodation space, backed by global marquee investors - Falcon Edge, Equity International, Sequoia Capital, Matrix Partners, Accel Partners
• Recognized as the Best Real Estate Tech company across the Globe in 2020 by leading analysis agency, Tracxn
• LinkedIn Top Startup to Work for - 2019

Objectives of this role :

- Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company

- Define and document best practices and strategies regarding application deployment and infrastructure maintenance

- Provide guidance, thought leadership, and mentorship to developer teams to build their cloud competencies

- Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design

- Manage cloud environments in accordance with company security guidelines

Job Description :

- Excellent understanding of Cloud Platform (AWS)

- Strong knowledge on AWS Services, design, configuration on enterprise systems

- Good knowledge on Kubernetes configuration, Dockers

- Understanding the needs of the business for defining AWS system specifications

- Understand Architecture Requirements and ensure effective support activities

- Evaluation and choosing suitable AWS Service or and suggesting methods for integration

- Overseeing assigned programs and guiding the team members

- Providing assistance when technical problems arise

- Making sure the agreed infrastructure and architecture are implemented

- Addressing the technical concerns, suggestions, and ideas

- Configure Monitoring systems to make sure they meet business goals as well as user requirements

- Excellent knowledge of AWS IaaS Layer

- Ability to lead & implement PS workloads or POCs

- Ensure continual knowledge management

Roles and Responsibilities 

• Primary stakeholder collaborating with Dir Engineering on software/infrastructure architecture, monitoring/alerting framework and all other architectural level technical issues
• Design and manage implementation of Silvermine’s high performance, scalable, extensible and resilient microservices application stack based of existing, partially migrated monolithic application and for new product development.  Includes:
  • Utilizing either ECS Fargate (no EC2 clusters) or EKS as the orchestration framework – to be tested up to a minimum of 100k concurrent users
  • Exploring, designing and implementing use of on demand compute (Lambda) where appropriate
  • Scalable and redundant data architecture supporting microservices design principles
  • A scalable reverse proxy layer to isolate microservices from managing network connections
  • Utilizing CDN capabilities to offload origin load via an intelligent caching strategy
  • Leveraging best in breed AWS service offerings to enable team to focus on application stack instead of application scaffolding while minimizing operational complexity and cost
  • Monitoring and optimizing of stack for
• Security and monitoring
  • Leverage AWS and 3rd party services to monitor the application stack and data; secure them from DDOS attacks and security breaches; and alert the team in the vent of an incident
  • Using APM and logging tools:
    • Monitor application stack and infrastructure component performance
    • Proactively detect, triage and mitigate stack performance issues
    • Alert upon exception events
    • Provide triaging tools for debugging and Root Cause Analysis.
• Enhance the CI/CD pipeline to support automated testing, a resilient deployment model (e.g., blue-green, canary) and 100% rollback support (including the data layer)
• Development a comprehensive, supportable, repeatable IAC implementation using CloudFormation or Terraform
• Take a leadership role and exhibit expertise in the development of standards, architectural governance, design patterns, best practices and optimization of existing architecture.
• Partner with teams and leaders to provide strategic consultation for business process design/optimization, creating strategic technology road maps, performing rapid prototyping and implementing technical solutions to accelerate the fulfillment of the business strategic vision.
• Staying up to date on emerging technologies (AI, Automation, Cloud etc.) and trends with a clear focus on productivity, ease of use and fit-for-purpose, by researching, testing, and evaluating.
• Providing POCs and product implementation guidelines.
• Applying imagination and innovation by creating, inventing, and implementing new or better approaches, alternatives and breakthrough ideas that are valued by customers within the function.
• Assessing current state of solutions, defining future state needs, identifying gaps and recommending new technology solutions and strategic business execution improvements.
• Overseeing and facilitating the evaluation and selection technology, product standards and the design of standard configurations/implementation patterns.
• Partnering with other architects and solution owners to create standards and set strategies for the enterprise.
• Communicating directly with business colleagues on applying digital workplace technologies to solve identified business challenges.

Skills Required:

• Good mentorship skills to coach and guide the team on AWS DevOps.
• Jenkins, Python, Pipeline as Code, Cloud Formation Templates and Terraform.
• Experience with Dockers, Containers, Lambda and Fargate is a must
• Experience with CI/CD and Release management
• Strong proficiency in PowerShell scripting
• Demonstrable expertise in Java
• Familiarity with REST APIs

Qualifications:

• Minimum of 5 years of relevant experience in Devops.
• Bachelors or Masters in Computer Science or equivalent degree.
• AWS Certifications is added advantage

• Have 3+ years of experience in Python development
• Be familiar with common database access patterns
• Have experience with designing systems and monitoring metrics, looking at graphs.
• Have knowledge of AWS, Kubernetes and Docker.
• Be able to work well in a remote development environment.
• Be able to communicate in English at a native speaking and writing level.
• Be responsible to your fellow remote team members.
• Be highly communicative and go out of your way to contribute to the team and help others

Job Location: Jaipur

Experience Required: Minimum 3 years

About the role:

As a DevOps Engineer for Punchh, you will be working with our developers, SRE, and DevOps teams implementing our next generation infrastructure. We are looking for a self-motivated, responsible, team player who love designing systems that scale. Punchh provides a rich engineering environment where you can be creative, learn new technologies, solve engineering problems, all while delivering business objectives. The DevOps culture here is one with immense trust and responsibility. You will be given the opportunity to make an impact as there are no silos here. 

Responsibilities:

• Deliver SLA and business objectives through whole lifecycle design of services through inception to implementation.
• Ensuring availability, performance, security, and scalability of AWS production systems
• Scale our systems and services through continuous integration, infrastructure as code, and gradual refactoring in an agile environment. 
• Maintain services once a project is live by monitoring and measuring availability, latency, and overall system and application health.
• Write and maintain software that runs the infrastructure that powers the Loyalty and Data platform for some of the world’s largest brands.
• 24x7 in shifts on call for Level 2 and higher escalations
• Respond to incidents and write blameless RCA’s/postmortems
• Implement and practice proper security controls and processes
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on platform.

Must have:  

• Minimum 3 Years of Experience in DevOps.  
• BS degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
• Strong inter-personal skills.
• Must have experience in CI/CD tooling such as Jenkins, CircleCI, TravisCI
• Must have experience in Docker, Kubernetes, Amazon ECS or  Mesos
• Experience in code development in at least one high-level programming language fromthis list: python, ruby, golang, groovy
• Proficient in shell scripting, and most importantly, know when to stop scripting and start developing.
• Experience in creation of highly automated infrastructures with any Configuration Management tools like: Terraform, Cloudformation or Ansible.  
• In-depth knowledge of the Linux operating system and administration. 
• Production experience with a major cloud provider such Amazon AWS.
• Knowledge of web server technologies such as Nginx or Apache. 
• Knowledge of Redis, Memcache, or one of the many in-memory data stores.
• Experience with various load balancing technologies such as Amazon ALB/ELB, HA Proxy, F5. 
• Comfortable with large-scale, highly-available distributed systems.

Good to have:  

• Understanding of Web Standards (REST, SOAP APIs, OWASP, HTTP, TLS)
• Production experience with Hashicorp products such as Vault or Consul
• Expertise in designing, analyzing troubleshooting large-scale distributed systems.
• Experience in an PCI environment
• Experience with Big Data distributions from Cloudera, MapR, or Hortonworks
• Experience maintaining and scaling database applications
• Knowledge of fundamental systems engineering principles such as CAP Theorem, Concurrency Control, etc. 
• Understanding of the network fundamentals: OSI, TCI/IP, topologies, etc.
• Understanding of Auditing of Infrastructure and help org. to control Infrastructure costs. 
• Experience in Kafka, RabbitMQ or any messaging bus.