
Key Responsibilities:-
• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Design, develop and maintain the framework for the analytical pipeline
• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation
• Provide input and help implement framework and tools to improve data quality
• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

About PGP Glass Pvt Ltd
About
Similar jobs
Primary Skills:
Observability - ELK (Elactic/Kibana), Prometheus, Grafana, PromQL
Software and automation - Java, Python/Shell/Bash, Rest-SOAP API, docker containerization, Kubernetes, Kafka
Reliability and DR engineering - Distributed architecture and distributed system fundamentals, micro services, and event-driven architecture.
Cross-team coordination, incident triage and resolution, leadership and stakeholder management.
Secondary Skills:
Lang-chain, Langraph, RAG, MCP
Experience with working on LLM's and integrating with the existing applications
Python - FastAPI
Cache - Redis
Program Details:
Design, build, and ship LLM-powered and agentic product features that enhance the team efforts and outcomes.
Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
Work on integrating the existing AI tools and should know major AI frameworks and libraries.
Own service reliability and operational governance by defining SLA's, managing error budgets, and reporting reliability (MTTD, MTTR) to leadership for prioritization, risk decisions and planning.
Architect and continuously optimize the observability of platform using Kibana/Elastic (ELF) along with other observability tools like Prometheus, Grafana (dashboards, metrics, alert lifecycle), improving detection quality, reducing noise/toil, and enabling faster triage and measurable uptime improvements.
Engineer advance alerting and automation capabilities with Kibana alerting and anomaly detections and integrating response workflows (routing, runbooks, remediation scripts) to standardize on-call execution and accelerate restoration of services.
Lead incident response for customer-impacting issues across teams-coordination, communications, service restoration, and blameless RCA-then corrective actions that prevent recurrence and reduce operational risk.
Design, automate and validate Disaster Recovery and failover for critical services/journeys (RTO/RPO alignment, DR Drills), ensuring resiliency under failure scenarios and improving recovery.
Consult and partner with application teams by providing production readiness inputs (Resiliency patterns, availability, performance/capacity considerations) and driving platform enhancements that improve stability while optimizing infrastructure and observability spend.
If you are interested for this role, kindly acknowledge this email with your interest.
tools, build pile lines, deployment and production support.
• Maintaining mission critical day-to-day operations of the production processing platform and internal company resources.
• shall have sound and working knowledge of various devops tools like git, gitlab, jUnit, sonarqube, Jenkins, nagios etc.
• Shall have working knowledge of mentioned devOps tools.
• Analysing, executing and streamlining devops tools and practices.
• Automating processes with rights tools.
• Facilitating development process & operations.
• Establishing suitable devops channel across the organization.
• Setting up CI-CD to speed up software development and deployment process.
• Monitoring, reviewing and managing technical operations.
we are currently hiring for Junior DevOps Developer
Can you pls check below Job Description for the post
Job Description: Junior DevOps Developer (0.6 – 1.5 Years Experience)
Job Title: Junior DevOps Developer
Experience: 6 months to 1.5 years
Employment Type: Full-time
About the Role:
We are looking for a motivated Junior DevOps Developer to support our development and operations teams. You will assist in managing cloud infrastructure, improving deployment processes, and maintaining system reliability.
Key Responsibilities:
- Assist in managing and maintaining cloud infrastructure (AWS/GCP/Azure)
- Support CI/CD pipeline setup and maintenance
- Help automate deployment processes and routine tasks
- Monitor system performance and troubleshoot issues
- Assist in containerization using Docker and Kubernetes
- Perform root cause analysis for production issues
- Collaborate with developers to improve system performance and scalability
- Maintain documentation for infrastructure and processes
- cloud platform and infrastructure include hetzener
Required Skills:
- Basic understanding of DevOps concepts and workflows
- Knowledge of cloud platforms like AWS, GCP, or Azure
- Familiarity with Docker and Kubernetes
- Basic understanding of Infrastructure as Code tools (Terraform is a plus)
- Knowledge of Git and version control systems
- Basic scripting knowledge (Bash/Python preferred)
Good to Have:
- Exposure to CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
- Understanding of monitoring tools (Grafana, Prometheus)
- Understanding of monitoring tools (Grafana, Prometheus)
You can contact me on this WhatsApp number: Nine three one six one two zero one three two
Sr.DevOps Engineer (5 to 8 yrs. Exp.)
Location: Ahmedabad
- Strong Experience in Infrastructure provisioning in cloud using Terraform & AWS CloudFormation Templates.
- Strong Experience in Serverless Containerization technologies such as Kubernetes, Docker etc.
- Strong Experience in Jenkins & AWS Native CI/CD implementation using code
- Strong Experience in Cloud operational automation using Python, Shell script, AWS CLI, AWS Systems Manager, AWS Lamnda, etc.
- Day to Day AWS Cloud administration tasks
- Strong Experience in Configuration management using Ansible and PowerShell.
- Strong Experience in Linux and any scripting language must required.
- Knowledge of Monitoring tool will be added advantage.
- Understanding of DevOps practices which involves Continuous Integration, Delivery and Deployment.
- Hands on with application deployment process
Key Skills: AWS, terraform, Serverless, Jenkins,Devops,CI/CD,Python,CLI,Linux,Git,Kubernetes
Role: Software Developer
Industry Type: IT-Software, Software Services
FunctionalArea:ITSoftware- Application Programming, Maintenance
Employment Type: Full Time, Permanent
Education: Any computer graduate.
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Role: DevOps
Job Description:
We are looking for experienced DevOps Engineers to join our Engineering team. The candidate will be working with our engineers and interact with the tech team for high quality web applications for a product.
Required Experience
- Devops Engineer with 2+ years of experience in development and production operations supporting for Linux & Windows based applications and Cloud deployments (AWS/GC stack)
- Experience working with Continuous Integration and Continuous Deployment Pipeline
- Exposure to managing LAMP stack-based applications
- Experience Resource provisioning automation using tools such as CloudFormation, terraform and ARM Templates.
- Experience in working closely with clients, understanding their requirements, design and implement quality solutions to meet their needs.
- Ability to take ownership on the carried-out work
- Experience coordinating with rest of the team to deliver well-architected and high-quality solutions.
- Experience deploying Docker based applications
- Experience with AWS services.
- Excellent verbal and written communication skills
Desired Experience
- Exposure to AWS, google cloud and Azure Cloud
- Experience in Jenkins, Ansible, Terraform
- Build Monitoring tools and respond to alarms triggered in production environment
- Willingness to quickly become a member of the team and to do what it takes to get the job done
- Ability to work well in a fast-paced environment and listen and learn from stakeholders
- Demonstrate a strong work ethic and incorporate company values in your everyday work.
Role – Devops
Experience 3 – 6 Years
Roles & Responsibilities –
- 3-6 years of experience in deploying and managing highly scalable fault resilient systems
- Strong experience in container orchestration and server automation tools such as Kubernetes, Google Container Engine, Docker Swarm, Ansible, Terraform
- Strong experience with Linux-based infrastructures, Linux/Unix administration, AWS, Google Cloud, Azure
- Strong experience with databases such as MySQL, Hadoop, Elasticsearch, Redis, Cassandra, and MongoDB.
- Knowledge of scripting languages such as Java, JavaScript, Python, PHP, Groovy, Bash.
- Experience in configuring CI/CD pipelines using Jenkins, GitLab CI, Travis.
- Proficient in technologies such as Docker, Kafka, Raft and Vagrant
- Experience in implementing queueing services such as RabbitMQ, Beanstalkd, Amazon SQS and knowledge in ElasticStack is a plus.
Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
- Automate deployments of infrastructure components and repetitive tasks.
- Drive changes strictly via the infrastructure-as-code methodology.
- Promote the use of source control for all changes including application and system-level changes.
- Design & Implement self-recovering systems after failure events.
- Participate in system sizing and capacity planning of various components.
- Create and maintain technical documents such as installation/upgrade MOPs.
- Coordinate & collaborate with internal teams to facilitate installation & upgrades of systems.
- Support 24x7 availability for corporate sites & tools.
- Participate in rotating on-call schedules.
- Actively involved in researching, evaluating & selecting new tools & technologies.
- Cloud computing – AWS, OCI, OpenStack
- Automation/Configuration management tools such as Terraform & Chef
- Atlassian tools administration (JIRA, Confluence, Bamboo, Bitbucket)
- Scripting languages - Ruby, Python, Bash
- Systems administration experience – Linux (Redhat), Mac, Windows
- SCM systems - Git
- Build tools - Maven, Gradle, Ant, Make
- Networking concepts - TCP/IP, Load balancing, Firewall
- High-Availability, Redundancy & Failover concepts
- SQL scripting & queries - DML, DDL, stored procedures
- Decisive and ability to work under pressure
- Prioritizing workload and multi-tasking ability
- Excellent written and verbal communication skills
- Database systems – Postgres, Oracle, or other RDBMS
- Mac automation tools - JAMF or other
- Atlassian Datacenter products
- Project management skills
Qualifications
- 3+ years of hands-on experience in the field or related area
- Requires MS or BS in Computer Science or equivalent field
- Provide consultation and review all outgoing critical customer communications.
- Apply DevOps thinking in bringing the development and IT Ops process, people, and tools together within the company in order to increase the speed, efficiency, and quality.
- Perform architecture and security reviews for different projects, work with leads to develop strategy and roadmap for the client requirements. Involve in designing of the overall architecture of the system with another leads/architect.
- Develop and grow engineers in DevOps technology to meet the incoming requirements from the business team.
- Work with senior technical team to bring in new technologies/tools being used within the company. Develop and promote best practices and emerging concepts for DevSecOps and secure CI/CD. Participate in Solution Strategy, innovation areas, and technology roadmap.
Key Skills:
- Deals positively with high levels of uncertainty, ambiguity, and shifting priorities.
- Ability to influence stakeholders as a trusted advisor across all levels, including teams outside of shared services.
- Ability to think outside of the box and be innovative by keeping abreast of new trends, identifying opportunities to bring in change for business benefit.
- Implementing CI (Continuous Integration) and CD (Continuous Deployment). Have Good exposure to CI & Build Management tools like Jenkins Azure DevOps GitHub Actions Maven Gradle and etc
- Deployment and provisioning tools (Chef/Ansible/Terraform/AWS CDK etc)
- Docker Orchestration tools like Kubernetes/Swarm etc
- Good hands-on knowledge of automation scripting Python Shell Ruby etc
- Version Control for Source Code Management (SCM) tool: GIT/Bitbucket and etc
- Expertise in Linux based systems like Unix Linux Ubuntu and also manage security systems Linux file system permission etc
- Container Orchestration tool: Kubernetes Swarm Meso Marathon Docker Writing Docker file Docker compose
- Expertise in managing Cloud resources and good exposure to Docker
- Public/Private/Hybrid cloud: AWS /Microsoft Azure/ Google Cloud Platform etc
- Extensive experience with cloud services elastic capacity administration and cloud deployment and migration.
- Good to have knowledge of tools like Splunk, New Relic, PagerDuty, VictorOps
- Familiarity with Network protocols and elements - TCP/IP HTTP(S) SSL DNS Firewall router load balancers proxy.
- Excellent in creating new and improve existing workflows within the agile software development lifecycle.
- Familiar with incident and change management processes.
- Ability to effectively priorities work with fast-changing requirements.
- Troubleshoot and debug infrastructure Network and operating system issues.
- Resolve complex issues in scenarios like resource consumptions server performance backup strategy Scaling.
- Investigate and perform Root Cause Analysis on users' reported issues and provide a workaround before implementing a final fix.
- Monitor servers and applications to ensure the smooth running of IT Architecture (Applications Services Schedulers Server Performance etc)
Design Skills:
- Interpret and implement the designs of others adhering to standards and guidelines
- Design solutions within their area of expertise using technologies that already exist within Tesco
- Understand the roadmaps for their area of Technology Design secure solutions
- Design solutions that can be consumed in a self-service manner by the engineering teams
- Understand the impact of technologies at an enterprise-scale innovation
- Demonstrate knowledge of the latest technology trends related to Infrastructure
- Understand how Industry trends impact their own area
- identify opportunities to automate work and deliver against them
1. Should have worked with AWS, Dockers and Kubernetes.
2. Should have worked with a scripting language.
3. Should know how to monitor system performance, CPU, Memory.
4. Should be able to do troubleshooting.
5. Should have knowledge of automated deployment
6. Proficient in one programming knowledge - python preferred.







