Data Engineer at PGP Glass Pvt Ltd · Vadodara · 2 - 4 years · ₹6L - ₹12L / yr · Profitable · Posted 20 Dec 2023

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
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NOTE- This is a contractual role for a period of 3-6 months.
Responsibilities:
● Set up and maintain CI/CD pipelines across services and environments
● Monitor system health and set up alerts/logs for performance & errors ● Work closely with backend/frontend teams to improve deployment velocity
● Manage cloud environments (staging, production) with cost and reliability in mind
● Ensure secure access, role policies, and audit logging
● Contribute to internal tooling, CLI automation, and dev workflow improvements
Must-Haves:
● 2–3 years of hands-on experience in DevOps, SRE, or Platform Engineering
● Experience with Docker, CI/CD (especially GitHub Actions), and cloud providers (AWS/GCP)
● Proficiency in writing scripts (Bash, Python) for automation
● Good understanding of system monitoring, logs, and alerting
● Strong debugging skills, ownership mindset, and clear documentation habits
● Infra monitoring tools like Grafana dashboards
We are a managed video calling solution built on top of WebRTC, which allows it's
customers to integrate live video-calls within existing solutions in less than 10 lines of
code. We provide a completely managed SDK that solves the problem of battling
endless cases of video calling APIs.
Location - Bangalore (Remote)
Experience - 3+ Years
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
Required Skills
• Automation is a part of your daily functions, so thorough familiarity with Unix Bourne shell scripting and Python is a critical survival skill.
• Integration and maintenance of automated tools
• Strong analytical and problem-solving skills
• Working experience in source control tools such as GIT/Github/Gitlab/TFS
• Have experience with modern virtualization technologies (Docker, KVM, AWS, OpenStack, or any orchestration platforms)
• Automation of deployment, customization, upgrades, and monitoring through modern DevOps tools (Ansible, Kubernetes, OpenShift, etc) • Advanced Linux admin experience
• Using Jenkins or similar tools
• Deep understanding of Container orchestration(Preferably Kubernetes )
• Strong knowledge of Object Storage(Preferably Cept on Rook)
• Experience in installing, managing & tuning microservices environments using Kubernetes & Docker both on-premise and on the cloud.
• Experience in deploying and managing spring boot applications.
• Experience in deploying and managing Python applications using Django, FastAPI, Flask.
• Experience in deploying machine learning pipelines/data pipelines using Airflow/Kubeflow /Mlflow.
• Experience in web server and reverse Proxy like Nginx, Apache Server, HAproxy
• Experience in monitoring tools like Prometheus, Grafana.
• Experience in provisioning & maintaining SQL/NoSQL databases.
Desired Skills
• Configuration software: Ansible
• Excellent communication and collaboration skills
• Good experience on Networking Technologies like a Load balancer, ACL, Firewall, VIP, DNS
• Programmatic experience with AWS, DO, or GCP storage & machine images
• Experience on various Linux distributions
• Knowledge of Azure DevOps Server
• Docker management and troubleshooting
• Familiarity with micro-services and RESTful systems
• AWS / GCP / Azure certification
• Interact with the Engineering for supporting/maintaining/designing backend infrastructure for product support
• Create fully automated global cloud infrastructure that spans multiple regions.
• Great learning attitude to the newest technology and a Team player
Exp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
Role Summary
In this role, you will lead the DevOps function at the organisation and work through all
facets of software development: design, prototype, implementation, testing and
documentation.
Responsibilities
- Design, prototype, implement, test and troubleshoot deployment strategies
- BS in Computer Science, Mathematics, Engineering or equivalent. MS or higher degree
- preferred.
- Design continuous integration and delivery pipelines using latest tools and platformsv
- Demonstrated understanding and hands-on experience in Kubernetes, K8s-Ingress,
- Docker, AWS EC2, VPC, Route53, ELB, RDS, MongoDB, Helm, Rancher, Jenkins,
- VPN, GKE.
- Create high level deployment design (HLSD) documents and outline software solutions
- Strong DevOps Management experience with focus on server-side development and
- database design
- Optimize application for maximum speed and scalability
- Strong understanding of web technologies, web services, communication protocols,
- (REST, SOAP API’s) and a proven track record in developing communication between
- desktop applications and web services
- Knowledge of Agile software development methodologies
- Cooperating with the back-end developer in the process of building the RESTful API
Qualification
- Experience with working on code enhancements within a large, complex software
- system
- Create server side deployment primarily in the Cloud, Collaboration space
- 10+ years of relevant experience in developing and managing web/app products.
- Experience with a few of these languages: Shell, Ruby/ JRuby, Python, PowerShell, Java,
- Go
- Hands-on experience in deploying and managing highly scalable cloud applications
- using AWS,Google Cloud
- Assure that all user input is validated before submitting to back-end
- Basic understanding of cloud security and hands on experience in building secure
- systems.
- Prepare accurate implementation task lists / time estimates and deliver assignments as
- per functional specifications, quality standards and project schedulesvvvv
Job Dsecription: (8-12 years)
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Deep understanding of Kernel, Networking and OS fundamentals
○ Strong experience in writing helm charts.
○ Deep understanding of K8s.
○ Good knowledge in service mesh.
○ Good Database understanding
Notice Period: 30 day max
- GCP Cloud experience mandatory
- CICD - Azure DevOps
- IaC tools – Terraform
- Experience with IAM / Access Management within cloud
- Networking / Firewalls
- Kubernetes / Helm / Istio
Objectives of this Role
Improve reliability, quality, and time-to-market of our suite of software solutions
- Run the production environment by monitoring availability and taking a holistic view of system health
- Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer - needs, and innovating to continually improve
- Provide primary operational support and engineering for multiple large distributed software applications
- Participate in system design consulting, platform management, and capacity planning
- Languages: Python, Java, Ruby DSL, Bash
- Databases : MySQL, Cassandra , Elastic Search
- Deployment: AWS CloudFormation
Essential Criteria:
- 8 or more years administrating production Linux systems in a 24x7 environment
- 3 or more years’ experience in a DevOps/ SRE role as an engineer or technical lead
- At least 1 year of team leadership experience
- Significant knowledge of Amazon Web Services (CLI/APIs, EC2, EBS, S3, VPCs, IAM, AWS Lambda)
- Experience deploying services into containerized orchestration environments such as Kubernetes
- Experience with infrastructure automation tools like CloudFormation, Terraform, etc.
- Experience with at least one of Python, Bash, Ruby, or equivalent
- Experience creating and managing CI/CD pipeline like Jenkins or Spinnaker
- Familiar with version control using Git
- Solid understanding of common security principles
Nice to Have:
- Preference for hands on experience with Serverless Architecture, Kubernetes and Docker
- Strong experience with open-source configuration management tools
- Managing distributed systems spanning multiple AWS regions / data-centers
- Experience with bootstrapping solutions
- Open source contributor
- We’re committed to client success: There are over 6,200 brand and retail websites in the Bazaarvoice network. Our clients represent some of the world’s leading companies across a wide range of industries including retail, apparel, automotive, consumer electronics and travel.
- We’re leaders in consumer-generated content: Each month, more than one billion consumers view and share authentic consumer-generated content, such as ratings and reviews, curated photos, social posts and videos, about products in our network. Thousands upon thousands or reviews are added to the Bazaarvoice network everyday.
- Our network delivers: Network analytics provide insights that help marketers and advertisers provide more engaging experiences that drive brand awareness, consideration, sales, and loyalty.
- We’re a great place to work: We pride ourselves on our unique culture. Join a company that values passion, innovation, authenticity, generosity, respect, teamwork, and performance.
We are a growth-oriented, dynamic, multi-national startup, so those that are looking for that startup excitement, dynamics, and buzz are here at the right place. Read on -
FrontM (http://www.frontm.com/" target="_blank">www.frontm.com) is an edge AI company with a platform that is redefining how businesses and people in remote and isolated environments (maritime, aviation, mining....) collaborate and drive smart decisions.
Successful candidate will lead the back end architecture working alongside VP of delivery, CTO and CEO
The problem you will be working on:
- Take ownership of AWS cloud infrastructure
- Overlook tech ops with hands-on CI/CD and administration
- Develop Node.js Java and backend system procedures for stability, scale and performance
- Understand FrontM platform roadmap and contribute to planning strategic and tactical capabilities
- Integrate APIs and abstractions for complex requirements
Who you are:
- You are an experienced Cloud Architect and back end developer
- You have experience creating AWS Serverless Lambdas EC2 MongoDB backends
- You have extensive CI/CD and DevOps experience
- You can take ownership of continuous server uptime, maintenance, stability and performance
- You can lead a team of backend developers and architects
- You are a die-hard problem solver and never-say-no person
- You have 10+ years experience
- You are very sound in English language
- You have the ability to initiate and lead teams working with senior management
Additional benefits
- Generous pay package, flexible for the right candidate
- Career development and growth planning
- Entrepreneurial environment that nurtures and promotes innovation
- Multi-national team with an enjoyable culture
We'd love to talk to you if you find this interesting and like to join in on our exciting journey
Skill: Python, Docker or Ansible , AWS
➢ Experience Building a multi-region highly available auto-scaling infrastructure that optimizes
performance and cost. plan for future infrastructure as well as Maintain & optimize existing
infrastructure.
➢ Conceptualize, architect and build automated deployment pipelines in a CI/CD environment like
Jenkins.
➢ Conceptualize, architect and build a containerized infrastructure using Docker,Mesosphere or
similar SaaS platforms.
Work with developers to institute systems, policies and workflows which allow for rollback of
deployments Triage release of applications to production environment on a daily basis.
➢ Interface with developers and triage SQL queries that need to be executed inproduction
environments.
➢ Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
➢ Assist the developers and on calls for other teams with post mortem, follow up and review of
issues affecting production availability.
➢ Establishing and enforcing systems monitoring tools and standards
➢ Establishing and enforcing Risk Assessment policies and standards
➢ Establishing and enforcing Escalation policies and standards







