DevOps Engineer - Monitoring Tools

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

Duties & Responsibilities:
• Design cloud infrastructure that is secure, scalable, and highly available on AWS
• Define infrastructure and deployment requirements
• Provision, configure and maintain AWS cloud infrastructure defined as code
• Ensure configuration and compliance with configuration management tools
• Troubleshoot problems across a wide array of services and functional areas
• Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
• Perform infrastructure cost analysis and optimization
Qualifications:
• At least 3-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
• Strong understanding of how to secure AWS environments and meet compliance requirements
• Expertise on configuration management
• Hands-on experience deploying and managing infrastructure with Terraform
• Solid foundation of networking and Linux administration
• Experience with Docker, GitHub, Jenkins, ELK and deploying applications on AWS
• Ability to learn/use a wide variety of open source technologies and tools
• Strong bias for action and ownership

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Migration, Upgrade, Monitor, and Maintenance of ADS Instance
• Automation using REST API to build Extensions and Custom Reporting
• Expert in all Modules of Azure DevOps Server/Service (Work Item, SCM/VC, Build, Release, Test, Reporting Management)"

Good to Have/Optional Skills

• CICD Orchestration tools and other SCM/VC tools

Knowledge of Tool Validation

• Microsoft MCSD Application Lifecycle Management certified
• A bachelor or master degree with a minimum of 6 years relevant work experience in Azure DevOps Server/Services (SaaS)
• Good communication skills
• Strong knowledge of application lifecycle workflows and processes involved in the design, development, deployment, test, and maintenance of software systems in the Windows environment
• Visual Studio and the .NET Framework experience is required "

Job Responsibilities

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Work with the user community to adopt new features, enable new use cases, and help resolve any issues
• Create customizations and tools to help support the team’s needs (PM, Dev, Test, & Ops)
• Take the lead in the validation of the application.
• Monitor the health of the solution and take proactive steps to ensure reliable availability and performance
• Manage patches and updates for tooling solutions and related hosting environments including the operating system
• Automate the process for Maintenance"

• Designing and building infrastructure to support AWS, Azure, and GCP-based Cloud services and infrastructure.
• Creating and utilizing tools to monitor our applications and services in the cloud including system health indicators, trend identification, and anomaly detection.
• Working with development teams to help engineer scalable, reliable, and resilient software running in the cloud.
• Participating in on-call escalation to troubleshoot customer-facing issues
• Analyzing and monitoring performance bottlenecks and key metrics to optimize software and system performance.
• Providing analytics and forecasts for cloud capacity, troubleshooting analysis, and uptime.

• Should have strong experience of a couple of years, in leading DevOps team and planning, defining DevOps roadmap and executing as per the same along with the team 
• Familiarity with AWS cloud and JSON templates, Python, AWS Cloud formation templates
• Designing solutions using one or more AWS features, tools, and technologies such as EC2, EBS, Glacier, S3, ELB, CloudFormation, Lambada, CloudWatch, VPC, RDS, Direct Connect, AWS CLI, REST API
• Design and implement system architecture with AWS cloud - Develop automation scripts, ARM templates, Ansible, Chef, Python, Powershell Knowledge of AWS services and cloud design patterns- Knowledge on Cloud fundamentals like autoscaling, serverless
• Have experience with DevOps and Infrastructure as Code: AWS environment and application automation utilizing CloudFormation and third-party tools. CI/CD pipeline setup utilizing
• CI experience with the following is a must: Jenkins, Bitbucket/GIT, Nexus or Artifactory, SonarQube, WireMock or other mocking solution 
• Expert knowledge on Windows/Linux OS/Mac with at least 5-6 years of system administration experience
• Should have strong skills in using JIRA build tool
• Should have knowledge in managing the CI/CD pipeline on public cloud deployments using AWS
• Should have strong skills in using tools like Jenkins, Docker, Kubernetes (AWS EKS, Azure AKS), and Cloudformation.
• Experience in monitoring tools like Pingdom, Nagios, etc.
• Experience in reverse proxy services like Nginx and Apache
• Desirable experience in Bitbucket with version control tools like GIT/SVN
• Experience of manual/automated testing desired application deployments
• Experience in database technologies such as PostgreSQL, MySQL
• Knowledge of helm and terraform

• Proficient in Java, Node or Python
• Experience with NewRelic, Splunk, SignalFx, DataDog etc.
• Monitoring and alerting experience
• Full stack development experience
• Hands-on with building and deploying micro services in Cloud (AWS/Azure)
• Experience with terraform w.r.t Infrastructure As Code
• Should have experience troubleshooting live production systems using monitoring/log analytics tools
• Should have experience leading a team (2 or more engineers)
• Experienced using Jenkins or similar deployment pipeline tools
• Understanding of distributed architectures

 

Senior Engineer - DevOps

 

We are looking for a Sr. Engineer DevOps and SysOps, who is responsible for managing AWS and Azure cloud computing.  Your primary focus would be to help multiple projects with various cloud service implementation, create and manage CI/CD pipelines for deployment, explore new services on cloud and help projects to implement them.

Technical Requirements & Responsibilities

1. Have 4+ years’ experience as a DevOps and SysOps Engineer.
2. Apply cloud computing skills to deploy upgrades and fixes on AWS and Azure (GCP is optional / Good to have).
3. Design, develop, and implement software integrations based on user feedback.
4. Troubleshoot production issues and coordinate with the development team to streamline code deployment.
5. Implement automation tools and frameworks (CI/CD pipelines).
6. Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of projects.
7. Collaborate with team members to improve the company’s engineering tools, systems and procedures, and data security.
8. Optimize the company’s computing architecture.
9. Conduct systems tests for security, performance, and availability.
10. Develop and maintain design and troubleshooting documentation.
11. Expert in code deployment tools (Puppet, Ansible, and Chef).
12. Can maintain Java / PHP / Ruby on Rail / DotNet web applications.
13. Experience in network, server, and application-status monitoring.
14. Possess a strong command of software-automation production systems (Jenkins and Selenium).
15. Expertise in software development methodologies.
16. You have working knowledge of known DevOps tools like Git and GitHub.
17. Possess a problem-solving attitude.
18. Can work independently and as part of a team.

Soft Skills Requirements

1. Strong communication skills
2. Agility and quick learner
3. Attention to detail
4. Organizational skills
5. Understanding of the Software development life cycle
6. Good Analytical and problem-solving skills
7. Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities
8. Should have a high level of energy working as an individual contributor and as a part of team.
9. Good command over verbal and written English communication

 

• Works closely with the development team, technical lead, and Solution Architects within the
Engineering group to plan ongoing feature development, product maintenance.
• Familiar with Virtualization, Containers - Kubernetes, Core Networking, Cloud Native
Development, Platform as a Service – Cloud Foundry, Infrastructure as a Service, Distributed
Systems etc
• Implementing tools and processes for deployment, monitoring, alerting, automation, scalability,
and ensuring maximum availability of server infrastructure
• Should be able to manage distributed big data systems such as hadoop, storm, mongoDB,
elastic search and cassandra etc.,
• Troubleshooting multiple deployment servers, Software installation, Managing licensing etc,.
• Plan, coordinate, and implement network security measures in order to protect data, software, and
hardware.
• Monitor the performance of computer systems and networks, and to coordinate computer network
access and use.
• Design, configure and test computer hardware, networking software, and operating system
software.
• Recommend changes to improve systems and network configurations, and determine hardware or
software requirements related to such changes.

Machine Learning
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery

Job Responsibilities: Managing the cloud deployment with thousands of VM’s and Containers with 100% uptime Budgeting the infra costs and plan for continued cost optimisation Managing and motivating the team members Designing the architecture to scale the back-end to meet the business requirements Requirements: Strong background in Linux fundamentals and system administration Good command on coding with scripting languages like Python and Shell scripting Experience with Docker and any one of container management systems like Kubernetes, Docker Swarm or Apache mesos Ability to use a wide variety of open source technologies and cloud services like AWS, GCP or Azure Experience with automation/configuration management using either Puppet, Chef or an equivalent Experience with Elasticsearch, Mongodb, Redis, Memcached, Kafka, RabbitMQ or ActiveMQ Knowledge of best practices and IT operations in an always-up, always-available service Good team management skills and communications skills Good experience with monitoring and alerting systems like Nagios, Zabbix Experience with CI and CD tools Educational Qualification: BE/B.Tech/MCA

About HealthifyMe : We were founded in 2012 by Tushar Vashisht and Sachin Shenoy, and incubated by Microsoft Accelerator. Today, we happen to be India's largest and most loved health & fitness app with over 4 million users from 220+ cities in India. What makes us unique is our ability to bring together the power of artificial intelligence powered technology and human empathy to deliver measurable impact in our customers' lives. We do this through our team of elite nutritionists & trainers working together with the world's first AI-powered virtual nutritionist - "Ria", our proudest creation till date. Ria references data from over 200 million food & workout logs and 14 million conversations to deliver intelligent health & fitness suggestions to our customers. Ria also happens to be multi-lingual, "she" understands English, French, German, Italian & Hindi. Recently Russia's Sistema and Samsung's AI focussed fund - NEXT, led a USD 12 Million Series B funding into our business. We are the most liked app in India across categories, we've been consistently rated as the no:1 health & fitness app on play store for 3 years running and received Google's "editor's choice award" in 2017. Some of the marquee corporates in the country such as Cognizant, Accenture, Deloitte, Metlife amongst others have also benefited from our employee engagement and wellness programs. Our global aspirations have taken us to MENA, SEA and LATAM regions with more markets to follow. Desired Skills & Experience : Requirements : - Background in Linux/Unix Administration - Experience with Automation/Configuration Management using either Puppet, Chef or an equivalent - Ability to use a wide variety of Open Source Tools - Exp with AWS is a must. - Hands-on exp with at least 3 of RDS, EC2, ELB, EBS, S3, SQS, CodeDeploy, CloudWatch - Strong exp in managing SQL and MySQL Databases - Hands on exp in Managing Web Servers Apache, Nginx, Lighttpd, Tomcat (Apache Exp is valued) - A working understanding of Code and Script (PHP, Python, Perl and/or Ruby) - Knowledge of best practices and IT operations in an always-up, always-available service - Good to have exp in Python and NodeJS Stack : - Python/Django, MySQL, NodeJS+MongoDB - ElasticCache, DyanmoDB, SQS, S3 - Deployed in AWS We'd love to see : - Experience in Python and data modeling - Git and distributed revision control experience - High-profile work on commercial or open-source projects - Take ownership in your work, and understand the need for code quality, elegance, and robust infrastructure Look forward to : - Working with a world-class team. - Fun & work at the same place with an amazing work culture and flexible timings. - Get ready to transform yourself into a health junkie Join HealthifyMe and make history!