
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
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Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
What does a successful Senior DevOps Engineer do at Fiserv?
This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.
What will you do:
• Build, manage, and deploy CI/CD pipelines.
• DevOps Engineer - Helm Chart, Rundesk, Openshift
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.
• Implementing various development, testing, automation tools, and IT infrastructure
• Optimize and automate release/development cycles and processes.
• Be part of and help promote our DevOps culture.
• Identify and implement continuous improvements to the development practice
What you must have:
• 3+ years of experience in devops with hands-on experience in the following:
- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks
- Building docker images and running/managing docker instances
- Building Jenkins pipelines using groovy scripts
- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes
• Has good understanding on infrastructure as code
• Ability to write and update documentation
• Demonstrate a logical, process orientated approach to problems and troubleshooting
• Ability to collaborate with multi development teams
What you are preferred to have:
• 8+ years of development experience
• Jenkins administration experience
• Hands-on experience in building and deploying helm charts
Process Skills:
• Should have worked in Agile Project
Location: Remote
Job Description :
- Strong hands-on knowledge on Azure DevOps.
- Mandatory Skills required :Azure Devops,docker,Kubernetes
- Skills required : Terraform,GIT,Jenkins,CI/CD,Pipelines,YAML,Scripting,Shell Scripting,Python, Gradle, Maven
- Require only developer experience profiles, and Admin roles are not required
Implementation Engineer
Implementation Engineer Duties and Responsibilities
- Understanding requirements from internal consumers about program functionality.
- Perform UAT tests on application with help of test cases and prepare documents for same and coordinate with team to resolve all issues within required timeframe and inform management of any delays.
- Collaborate with development team to design new programs for all client implementation activities and manage all communication with department to resolve all issues and assist implementation analyst to manage all production data.
- Perform research on all client issues and document all findings and implement all technical activities with help of JIRA.
- Assist internal teams to monitor all software implementation lifecycle and assist to track appropriate customization to all software for clients.
- Train technical staff on all OS and software issues and identify all issues in processes and provide solutions for same. Train other team members on processes, procedures, API functionality, and development specifications.
- Supervise/support crossed-functional teams to design, test and deploy to achieve on-time project completion.
- Implement, configure, and debug MySQL, JAVA, Redis, PHP, Node, ActiveMQ setups.
- Monitor and troubleshoot infrastructure utilizing SYSLOG, SNMP and other monitoring software.
- Install, configure, monitor and upgrade applications during installation/upgrade activities.
- Assisting team to identify network issue and help them with respective resolutions.
- Utilize JIRA for issue reporting, status, activity planning, tracking and updating project defects and tasks.
- Managing JIRA and tracking tickets to closure and follow-ups with team members.
- Troubleshoot software issues
- Provide on-call support as necessary
Implementation Engineer Requirements and Qualifications
- Bachelor’s degree in computer science, software engineering, or a related field
- Experience working with
- Linux & Windows Operating system
- Working on shell and bat scripts
- SIP/ISUP based solutions
- deploying / debugging Java, C++ based solutions.
- MySQL to install, backup, update and retrieve data
- Front-end or back-end software development for LINUX
- database management and security a plus
- Very good debugging and analytical skills
- Good Communication skills
What you will do:
- Handling Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups and monitoring
- Logging, metrics and alerting management
- Creating Docker files
- Performing root cause analysis for production errors
What you need to have:
- 12+ years of experience in Software Development/ QA/ Software Deployment with 5+ years of experience in managing high performing teams
- Proficiency in VMware, AWS & cloud applications development, deployment
- Good knowledge in Java, Node.js
- Experience working with RESTful APIs, JSON etc
- Experience with Unit/ Functional automation is a plus
- Experience with MySQL, Mango DB, Redis, Rabbit MQ
- Proficiency in Jenkins. Ansible, Terraform/Chef/Ant
- Proficiency in Linux based Operating Systems
- Proficiency of Cloud Infrastructure like Dockers, Kubernetes
- Strong problem solving and analytical skills
- Good written and oral communication skills
- Sound understanding in areas of Computer Science such as algorithms, data structures, object oriented design, databases
- Proficiency in monitoring and observability
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
Azure DeVops
On premises to Azure Migration
Docker, Kubernetes
Terraform CI CD pipeline
9+ Location
Budget – BG, Hyderabad, Remote , Hybrid –
Budget – up to 30 LPA
Responsibilities
- Building and maintenance of resilient and scalable production infrastructure
Improvement of monitoring systems
- Improvement of monitoring systems
- Creation and support of development automation processes (CI / CD)
- Participation in infrastructure development
- Detection of problems in architecture and proposing of solutions for solving them
- Creation of tasks for system improvements for system scalability, performance and monitoring
- Analysis of product requirements in the aspect of devops
- Incident analysis and fixing
Skills and Experience
- Understanding of the distributed systems principles
- Understanding of principles for building a resistant network infrastructure
- Experience of Ubuntu Linux administration (Debian-like will be a plus)
- Strong knowledge of Bash
- Experience of working with LXC-containers
- Understanding and experience with infrastructure as a code approach
- Experience of development idempotent Ansible roles
- Experience of working with git
Preferred experience
Experience with relational databases (PostgeSQL), ability to create simple SQL queries
- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)
- Understanding of dynamic routing (OSPF)
- Knowledge and experience of working with network equipment Cisco
- Experience of working with Cisco NX-OS
- Experience of working with IPsec, VXLAN, Open vSwitch
- Knowledge of principles of multicast protocols IGMP, PIM
- Experience of setting multicast on Cisco equipment
- Experience administering Atlassian products
● Develop and deliver automation software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms
● Champion and drive the adoption of Infrastructure as Code (IaC) practices and mindset
● Design, architect, and build self-service, self-healing, synthetic monitoring and alerting platform and tools
● Automate the development and test automation processes through CI/CD pipeline (Git, Jenkins, SonarQube, Artifactory, Docker containers)
● Build container hosting-platform using Kubernetes
● Introduce new cloud technologies, tools & processes to keep innovating in commerce area to drive greater business value.
Skills Required:
● Excellent written and verbal communication skills and a good listener.
● Proficiency in deploying and maintaining Cloud based infrastructure services (AWS, GCP, Azure – good hands-on experience in at least one of them)
● Well versed with service-oriented architecture, cloud-based web services architecture, design patterns and frameworks.
● Good knowledge of cloud related services like compute, storage, network, messaging (Eg SNS, SQS) and automation (Eg. CFT/Terraform).
● Experience with relational SQL and NoSQL databases, including Postgres and
Cassandra.
● Experience in systems management/automation tools (Puppet/Chef/Ansible, Terraform)
● Strong Linux System Admin Experience with excellent troubleshooting and problem solving skills
● Hands-on experience with languages (Bash/Python/Core Java/Scala)
● Experience with CI/CD pipeline (Jenkins, Git, Maven etc)
● Experience integrating solutions in a multi-region environment
● Self-motivate, learn quickly and deliver results with minimal supervision
● Experience with Agile/Scrum/DevOps software development methodologies.
Nice to Have:
● Experience in setting-up Elastic Logstash Kibana (ELK) stack.
● Having worked with large scale data.
● Experience with Monitoring tools such as Splunk, Nagios, Grafana, DataDog etc.
● Previously experience on working with distributed architectures like Hadoop, Mapreduce etc.








