Devops SDE-2

Requirements
● Good understanding of how the web works
● Experience with at least one language like Java, Python etc
● Good with Shell scripting
● Experience with *Nix based operating systems
● Experience with k8s, containers
● Fairly good understanding of AWS/GCP/Azure
● Troubleshoot and fix outages and performance issues in infrastructure stack
● Identify gap and design automation tools for all feasible functions in infrastructure
● Good verbal and written communication skills
● Drive SLA/SLO of team
Benefits
This is an opportunity to work on a fairly complex set of systems and improve
them. You will get a chance to learn things like “how to think about code
simplicity”, “how to write for maintainability” and several other things.
● Comprehensive health insurance policy.
● Flexible working hours and a very friendly work environment.
● Flexibility to work either in the office (post Covid) or remotely.

Permanent positions with a Product Client. Essential Skills: 3+ years’ experience of Windows Server Management 3+ years’ experience in Microsoft Azure Administration, Deployment, Development and Operations Networking (Azure networking, on-premise) Firewalls & VPN Experience in Linux administration Continuous Integration on VSTS in particular Security administration, e.g. setup of appropriate authorisation groups, roles and permissions structures Security (SSL, PKI, SSO, SAML) Experience of Azure ARM based provisioning using Windows Powershell scripting and templates Experience of Azure IaaS and PaaS offerings Experience with automation/configuration management using either Puppet, Chef or runbook ability to use a wide variety of open source technologies and cloud services (experience with Azure is required) Application Deployment tools(CI/CD) and their strategies. Experience building or managing applications from the Application layer down Exposure to security concepts / best practices Familiarity with one or more version control systems mainly Git, source tree Advantageous: Experience of NoSQL technology (i.e. CouchBase) Desired State Configuration and deployment (Puppet) Experience in Container orchestration framework like docker will be definite plus Experience of Azure solution deployment and development Interest in, or experience of, mobile solution development (i.e. worked as part of a team to deliver a mobile application) Azure Service Fabric Visual Studio Team Services for build and deployment

Designation: DevOps

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

 Sr. DevOps Software Engineer:
Preferred Education & Experience: •
Bachelor’s or master’s degree in Computer Engineering,
Computer Science, Computer Applications, Mathematics, Statistics or related technical field or
equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in DevOps principals & practices and hands-on DevOps
tool-chain integration experience: Release Orchestration & Automation, Source Code & Build
Management, Code Quality & Security Management, Behavior Driven Development, Test Driven
Development, Continuous Integration, Continuous Delivery, Continuous Deployment, and
Operational Monitoring & Management; extra points if you can demonstrate your knowledge with
working examples.
• Hands-on experience with demonstrable working experience with DevOps tools
and platforms viz., Slack, Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory,
Terraform, Ansible/Chef/Puppet, Spinnaker, Tekton, StackStorm, Prometheus, Grafana, ELK,
PagerDuty, VictorOps, etc.
• Well-versed in Virtualization & Containerization; must demonstrate
experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox,
Vagrant, etc.
• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate
experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in
any categories: Compute or Storage, Database, Networking & Content Delivery, Management &
Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstratable Cloud
Platform experience.
• Well-versed with demonstrable working experience with API Management,
API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption, tools &
platforms.
• Hands-on programming experience in either core Java and/or Python and/or JavaScript
and/or Scala; freshers passing out of college or lateral movers into IT must be able to code in
languages they have studied.
• Well-versed with Storage, Networks and Storage Networking basics
which will enable you to work in a Cloud environment.
• Well-versed with Network, Data, and
Application Security basics which will enable you to work in a Cloud as well as Business
Applications / API services environment.
• Extra points if you are certified in AWS and/or Azure
and/or Google Cloud.
Required Experience: 5+ Years
Job Location: Remote/Pune

DevOps Engineer, Gurgaon

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

Requirement
● Improve CI/CD tooling using gitlab.
● Implement and improve monitoring and alerting.
● Build and maintain highly available systems.
● Implement the CI pipeline.
● Implement and maintain monitoring stacks.
● Lead and guide the team in identifying and implementing new technologies.
● Implement and own the CI.
● Manage CD tooling.
● Implement and maintain monitoring and alerting.
● Build and maintain highly available production systems.
Skills
● Configuration Management experience such as Kubernetes, Ansible or similar.
● Managing production infrastructure with Terraform, CloudFormation, etc.
● Strong Linux, system administration background.
● Ability to present and communicate the architecture in a visual form. Strong knowledge of AWS,
Azure, GCP.

- Deep hands-on experience in designing & developing Python based applications

- Hands-on experience building database-backed web applications using Python based frameworks

- Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments

- Experience building client-side and server-side API-level integrations in Python

- Experience in containerization and container orchestration systems like Docker, Kubernetes, etc.

- Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana)

- Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc.

- Experience in using project management tools like Jira, Azure DevOps etc.

- Expertise in Cloud based development and deployment using cloud providers like AWS or Azure