
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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Key responsibilities
• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.
• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.
• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).
• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.
• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.
• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).
• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.
• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.
• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates.
Required skills & experience
• 5+ years hands-on experience working with Azure and cloud-native application delivery.
• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).
• Strong IaC skills with Terraform, ARM templates, or Bicep.
• Solid experience with CI/CD design and YAML pipeline authoring.
• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.
• Scripting skills: PowerShell, Bash, and/or Python for automation.
• Experience with Git workflows (branching strategies, PRs, code reviews).
• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).
• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.
• Strong troubleshooting, debugging, and incident response skills.
• Good collaboration and communication skills; ability to work across teams.
Certification
AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.
Strong Lead DevOps / Infrastructure Engineer Profiles.
Mandatory (Experience 1) – Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
Mandatory (Experience 2) – Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
Mandatory (Experience 3) – Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
Mandatory (Experience 4) – Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
Mandatory (Experience 5) – Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
Mandatory (Experience 6) – Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
Mandatory (Experience 7) – Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
Mandatory (Experience 8) – Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
Mandatory (Company) – Candidates must be from Good / Well Funded / Early Stage Product-based companies.
Mandatory (Education) –B.E/ B.Tech
We seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.
Responsibilities:
- Design, implement, and manage CI/CD pipelines using Azure DevOps.
- Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
- Monitor and optimize Azure environments to ensure high availability, performance, and security.
- Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
- Troubleshoot and resolve issues related to build, deployment, and infrastructure.
- Implement and manage version control systems, primarily using Git.
- Manage containerization and orchestration using tools like Docker and Kubernetes.
- Ensure compliance with industry standards and best practices for security, scalability, and reliability.
Managing cloud-based serverless infrastructure on AWS, GCP(firebase) with IaC
(Terraform, CloudFormation etc.,)
Deploying and maintaining products, services, and network components with a focus
on security, reliability, and zero downtime
Automating and streamlining existing processes to aid the development team
Working with the development team to create ephemeral environments, simplifying
the development lifecycle
Driving forward our blockchain infrastructure by creating and managing validators for
a wide variety of new and existing blockchains
Requirements:
1-3+ years in a SRE / DevOps / DevSecOps or Infrastructure Engineering role
Strong working knowledge of Amazon Web Services (AWS) or GCP or similar cloud
ecosystem
Experience working with declarative Infrastructure-as-Code frameworks(Terraform,
CloudFormation)
Experience with containerization technologies and tools (Docker, Kubernetes), CI/CD
pipelines and Linux/Unix administration
Bonus points - if you know more about crypto, staking, defi, proof-of-stake,
validators, delegations
Benefits:
Competitive CTC on par with market along with ESOPs/Tokens
About Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
Job description
Problem Statement-Solution
Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects. The internet has largely been in English. A good part of India is now getting internet connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users will balloon to about 600 million users out of the total 750 million internet users in India by 2020. This will make the vernacular segment one of the largest segments in the world - almost 2x the size of the US population. The vernacular segment has very few products that they can use on the internet.
One large human need is that of sharing thoughts and connecting with people of the same community on the basis of language and common interests. Twitter serves this need globally but the experience is mostly in English. There’s a large unaddressed need for these vernacular users to express themselves in their mother tongue and connect with others from their community. Koo is a solution to this problem.
About Koo
Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and English, which gives a voice to the millions of Indians who communicate in Indian languages.
Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and Telugu, Koo enables people from across India to express themselves online in their mother tongues. In a country where under 10% of the population speaks English as a native language, Koo meets the need for a social media platform that can deliver an immersive language experience to an Indian user, thereby enabling them to connect and interact with each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice assistant to share their thoughts without having to type. In August 2021, Koo crossed 10 million downloads, in just 16 months of launch.
Since June 2021, Koo is available in Nigeria.
Founding Team
Koo is founded by veteran internet entrepreneurs - Aprameya Radhakrishna (CEO, Taxiforsure) and Mayank Bidawatka (Co-founder, Goodbox & Coreteam, redBus).
Technology Team & Culture
The technology team comprises sharp coders, technology geeks and guys who have been entrepreneurs or are entrepreneurial and extremely passionate towards technology. Talent is coming from the likes of Google, Walmart, Redbus, Dailyhunt. Anyone being part of a technology team will have a lot to learn from their peers and mentors. Download our android app and take a look at what we’ve built. Technology stack compromises of a wide variety of cutting-edge technologies like Kotlin, Java 15, Reactive Programming, MongoDB, Cassandra, Kubernetes, AWS, NodeJS, Python, ReactJS, Redis, Aerospike, ML, Deep learning etc. We believe in giving a lot of independence and autonomy to ownership-driven individuals.
Technology skill sets required for a matching profile
- Experience between 3 to 7 years in a devops role with mandatory one or more stints at a fast paced startup.
- Mandatory experience with containers, kubernetes (EKS) (setting up from scratch), istio and microservices.
- Sound knowledge of technologies like Terraform, Automation Scripts, Cron jobs etc. Must have worked with goals of putting infra as code like setting up new environments with code.
- Knowledge of industry standards around monitoring, alerting, self healing, high availability, auto scaling etc.
- Exhaustive experience with various cloud technologies (especially on AWS) like SQS, SNS, Elastic Search, Elastic Cache, Elastic Transcoder, VPC, Subnets, Security groups etc.
- Must have set up stable CI-CD pipelines with capabilities to do zero downtime deployments on any one of rolling updates, blue green or canary modes.
- Experience with VPN and LDAP solutions for securely login to infrastructure and proving SSO. 8. Master of deploying and troubleshooting all layers of application from network, frontend, backend and databases (MongoDB, Redis, Postgres, Cassandra, ElasticSearch, Aerospike etc).
Head Kubernetes
Docker, Kubernetes Engineer – Remote (Pan India)
ABOUT US
Established in 2009, Ashnik is a leading open-source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open-source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.
THE POSITION
Ashnik is looking for talented and passionate Technical consultant to be part of the training team and work with customers on DevOps Solution. You will be responsible for implementation and consultations related work for customers across SEA and India. We are looking for personnel with personal qualities like -
- Passion for working for different customers and different environments.
- Excellent communication and articulation skills
- Aptitude for learning new technology and willingness to understand technologies which he/she is not directly working on.
- Willingness to travel within and outside the country.
- Ability to independently work at the customer site and navigate through different teams.
SKILLS AND EXPERIENCE
ESSENTIAL SKILLS
- 3+ years of experience with B.E/ B.Tech, MCA, Graduation Degree with higher education in the technical field.
- Must have prior experience with docker containers, swarm and/or Kubernetes.
- Understanding of Operating System, processes, networking, and containers.
- Experience/exposure in writing and managing Dockerfile or creating container images.
- Experience of working on Linux platform.
- Ability to perform installations and system/software configuration on Linux.
- Should be aware of networking and SSL/TLS basics.
- Should be aware of tools used in complex enterprise IT infra e.g. LDAP, AD, Centralized Logging solution etc.
A preferred candidate will have
- Prior experience with open source Kubernetes or another container management platform like OpenShift, EKS, ECS etc.
- CNCF Kubernetes Certified Administrator/Developer
- Experience in container monitoring using Prometheus, Datadog etc.
- Experience with CI/CD tools and their usage
- Knowledge of scripting language e.g., shell scripting
RESPONSIBILITIES
First 2 months:
- Get an in-depth understanding of containers, Docker Engine and runtime, Swarm and Kubernetes.
- Get hands-on experience with various features of Mirantis Kubernetes Engine, and Mirantis Secure Registry
After 2 months:
- Work with Ashnik’s pre-sales and solution architects to deploy Mirantis Kubernetes Engine for customers
- Work with customer teams and provide them guidance on how Kubernetes Platform can be integrated with other tools in their environment (CI/CD, identity management, storage etc)
- Work with customers to containerize their applications.
- Write Dockerfile for customers during the implementation phase.
- Help customers design their network and security policy for effective management of applications deployed using Swarm and/or Kubernetes.
- Help customer design their deployments either with Swarm services or Kubernetes Deployments.
- Work with pre-sales and sales team to help customers during their evaluation of Mirantis Kubernetes platform
- Conduct workshops for customers as needed for technical hand-holding and technical handover.
Package: upto30 L
Office: Mumbai
DevOps Engineer
The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.
Job Description
- Explore about the newest innovations in scalable and distributed systems.
- Helps in designing the architecture of the project, solutions to the existing problems and future improvements to be done.
- Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
- Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
- Playing around with large clusters on different clouds to tune your jobs or to learn.
- Researching about new technologies, proving the concepts and planning how to integrate or update.
- Be part of discussions of other projects to learn or to help.
Responsibilities
- 2+years of experience as DevOps Engineer.
- You understand actual networking to Software defined networking.
- You like containers and open source orchestration system like Kubernetes, Mesos.
- Should have experience to secure system by creating robust access policy and network restrictions enforcement.
- Should have knowledge about how applications work are very important to design distributed systems.
- Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
- You understand that provisioning a Virtual Machine is not DevOps.
- You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
- Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
- You check logs before screaming about error.
- Multiple Screens makes you more efficient.
- You are a doer who don’t say the word impossible.
- You understand the value of documentation of your work.
- You understand the Big Data ecosystem and how can you leverage cloud for it.
- You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs
Location: Bengaluru
Department: DevOps
We are looking for extraordinary infrastructure engineers to build a world class
cloud platform that scales to millions of users. You must have experience
building key portions of a highly scalable infrastructure using Amazon AWS and
should know EC2, S3, EMR like the back of your hand. You must enjoy working
in a fast-paced startup and enjoy wearing multiple hats to get the job done.
Responsibilities
● Manage AWS server farm Own AWS infrastructure automation and
support.
● Own production deployments in multiple AWS environments
● End-end backend engineering infra charter includes Dev ops,Global
deployment, Security and compliances according to latest practices.
Ability to guide the team in debugging production issues and write
best-of-the breed code.
● Drive “engineering excellence” (defects, productivity through automation,
performance of products etc) through clearly defined metrics.
● Stay current with the latest tools, technology ideas and methodologies;
share knowledge by clearly articulating results and ideas to key decision
makers.
● Hiring, mentoring and retaining a very talented team.
Requirements
● B.S. or M.S in Computer Science or a related field (math, physics,
engineering)
● 5-8 years of experience in maintaining infrastructure system/devops
● Enjoy playing with tech like nginx, haproxy, postgres, AWS, ansible,
docker, nagios, or graphite Deployment automation experience with
Puppet/Chef/Ansible/Salt Stack Work with small, tightly knit product
teams that function cohesively to move as quickly as possible.
● Determination to provide reliable and fault tolerant systems to the
application developers that consume them
● Experience in developing Java/C++ backend systems is a huge plus Be a
strong team player.
Preferred
Deep working knowledge of Linux servers and networked environments
Thorough understanding of distributed systems and the protocols they use,
including TCP/IP, RESTful APIs, SQL, NoSQL. Experience in managing a NoSQL
database (Cassandra) is a huge plus.










