DevOps Engineer

Experience: 3+ years of experience in Cloud Architecture

About Company:

Cloud Architect / Lead

• Role Overview

• Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.

• Key Knowledge

• 3-5+ years of experience in AWS/GCP or Azure technologies
• Is likely certified on one or more of the major cloud platforms
• Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
• Ability to guide and lead internal agile teams on cloud technology
• Background from the financial services industry or similar critical operational experience

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

Responsibilities:
• DevOps/Build and Release Engineer with maturity to help, define and automate the processes.
• Work, configure, install, manage, on source control tools like AWS Codecommit / GitHub / BitBucket.
• Automate implementation/deployment of code in the cloud-based infrastructure (AWS Preferred).
• Setup monitoring of infrastructure and applications with alerting frameworks

Requirements:
• Able to code in Python.
• Extensive experience with building and supporting Docker and Kubernetes in
production.
• Understand AWS (Amazon Web Services) and be able to jump right into our
environment.
• Security Clearance will be required.
• Lambda used in conjunction with S3, CloudTrail and EC2.
• CloudFormation (Infrastructure as code)
• CloudWatch and CloudTrail
• Version Control (SVN, Git, Artifactory, Bit bucket)
• CI/CD (Jenkins or similar)
• Docker Compose or other orchestration tools
• Rest API
• DB (Postgres/Oracle/SQL Server or NoSql or Graph DB)
• Bachelor’s Degree in Computer Science, Computer Engineering or a closely
related field.
• Server orchestration using tools like Puppet, Chef, Ansible, etc.


Please send your CV at priyanka.sharma @ neotas.com
Neotas.com

       

 

Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.

What we believe?

• Best practices are overrated

• Implementing best practices can only make one n ‘average’ .

• Honesty and Transparency

• We believe in naked truth. We do what we tell and tell what we do.

• Client Partnership

• Client - Vendor relationship: No. We partner with clients instead. 
• And our sales team comprises 100% of our clients.

How we work?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

• Humble: Happy people don’t carry ego around. We listen to understand; not to respond.

• Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.

• Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.

• Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.

• Innovative: Innovate or Die. We love to challenge the status quo.

• Experimental: We encourage curiosity & making mistakes.

• Responsible: Driven. Self motivated. Self governing teams. We own it.

Are you the one? Quick self-discovery test:

• Love for cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
• Passion for sales: When was the last time you went at a remote gas station while on vacation, and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
• Compassion for customers: You listen more than you speak.  When you do speak, people feel the need to listen.
• Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on cloud ?

Your bucket of undertakings:

• This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other
• Be the first one to experiment on new age cloud offerings, help define the best practise as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
• Continually augment skills and learn new tech as the technology and client needs evolve
• Demonstrate knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability)
• Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers.
• Provide leadership to project teams, and facilitate the definition of project deliverables around core Cloud based technology and methods.
• Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results.
• Define optimal design patterns and solutions for high availability and disaster recovery for applications
• Participate in technical reviews of requirements, designs, code and other artifacts Identify and keep abreast of new technical concepts in AWS
• Security, Risk and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance and related areas
• Develop solutions architecture and evaluate architectural alternatives for private, public and hybrid cloud models, including IaaS, PaaS, and other cloud services
• Demonstrate leadership ability to back decisions with research and the “why,” and articulate several options, the pros and cons for each, and a recommendation • Maintain overall industry knowledge on latest trends, technology, etc. • • Contribute to DevOps development activities and complex development tasks
• Act as a Subject Matter Expert on cloud end-to-end architecture, including AWS and future providers, networking, provisioning, and management

Accomplishment Set 

• Passionate, persuasive, articulate Cloud professional capable of quickly establishing interest and credibility
• Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
• Strong service attitude and a commitment to quality. Highly organised and efficient. Confident working with others to inspire a high-quality standard.

Education, Experience, etc.

• To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives those fancy degrees!
• 6 - 10 years of experience with at least 5 - 6 years of hands-on experience in Cloud Computing
• (AWS/GCP/Azure) and IT operational experience in a global enterprise environment.
• Good analytical, communication, problem solving, and learning skills.
• Knowledge on programming against cloud platforms such as AWS and lean development methodologies.

DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, set up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.

 

Ultimately, you will execute and automate operational processes fast, accurately, and securely.

 

Skills and Experience

• 4+ years of experience in building infrastructure experience with Cloud Providers ( AWS, Azure, GCP)

• Experience in deploying containerized applications build on NodeJS/PHP/Python to kubernetes cluster.

• Experience in monitoring production workload with relevant metrics and dashboards.

• Experience in writing automation scripts using Shell, Python, Terraform, etc.

• Experience in following security practices while setting up the infrastructure. 

• Self-motivated, able, and willing to help where help is needed

• Able to build relationships, be culturally sensitive, have goal alignment, have learning agility  

Roles and Responsibilities

• Manage various resources across different cloud providers. (Azure, AWS, and GCP)

• Monitor and optimize infrastructure cost.

• Manage various kubernetes clusters with appropriate monitoring and alerting setup.

• Build CI/CD pipelines to orchestrate provisioning and deployment of various services into kubernetes infrastructure.

• Work closely with the development team on upcoming features to determine the correct infrastructure and related tools.

• Assist the support team with escalated customer issues.

• Develop, improve, and thoroughly document operational practices and procedures. 

• Responsible for setting up good security practices across various clouds.

Responsibilities
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. 

Engineer need to work in capacity of a DevOps, responsible of maintaining cloud deployment up and running. Should have hands on experience on various Devops Tools and Monitoring Framework. He should be able to put together open source tools and framework to solve Operational Issues. Should be able to test and debug live issues on various components/services deployed on cloud. Engineer should be able to automate scripts, write tools in python to monitor & test various services and their communication. Should be able to manually test functionality for various components & automate functional, load and performance scenarios and relay feedback to engineering. He should be able to identify functionality gaps and should relay them to engineering as enhancements Candidate should be able to support customer deployment during late hours.