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Job Title : Senior DevOps Engineer
Location : Remote
Experience Level : 5+ Years
Role Overview :
We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.
Key Responsibilities:
Infrastructure Scalability & Reliability :
- Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
- Implement container orchestration using Kubernetes or Docker Compose.
- Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.
Deployment Automation :
- Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
- Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.
Monitoring & Observability :
- Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
- Establish centralized logging systems and create real-time dashboards for actionable insights.
Security & Compliance :
- Securely manage secrets using tools like HashiCorp Vault or Doppler.
- Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.
Collaboration & Team Enablement :
- Mentor and guide team members on DevOps best practices and workflows.
- Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.
Required Skills :
- Expertise in managing cloud platforms like AWS, GCP, or Azure.
- In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
- Advanced scripting capabilities in Python or Bash.
- Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
- Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
- Strong troubleshooting skills for debugging production systems and optimizing performance.
Preferred Qualifications :
- Experience in scaling AI or ML-based applications.
- Familiarity with distributed systems and microservices architecture.
- Understanding of agile methodologies and DevSecOps practices.
- Certifications in AWS, Azure, or Kubernetes.
What We Offer :
- Opportunity to work in a fast-paced AI startup environment.
- Flexible remote work culture.
- Competitive salary and equity options.
- Professional growth through challenging projects and learning opportunities.
About the Role:
We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.
Key Responsibilities:
Cloud Management:
- Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
- Ensure high availability, scalability, and security of cloud resources.
Containerization & Orchestration:
- Develop and manage containerized applications using Docker.
- Deploy, scale, and manage Kubernetes clusters.
CI/CD Pipelines:
- Build and maintain robust CI/CD pipelines to automate the software delivery process.
- Implement monitoring and alerting to ensure pipeline efficiency.
Version Control & Collaboration:
- Manage code repositories and workflows using Git.
- Collaborate with development teams to optimize branching strategies and code reviews.
Automation & Scripting:
- Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
- Write scripts to optimize and maintain workflows.
Monitoring & Logging:
- Implement and maintain monitoring solutions to ensure system health and performance.
- Analyze logs and metrics to troubleshoot and resolve issues.
Required Skills & Qualifications:
- 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
- Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
- Hands-on experience building and managing CI/CD pipelines.
- Proficient in using Git for version control.
- Experience with scripting languages such as Bash, Python, or PowerShell.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Solid understanding of networking, security, and system administration.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and teamwork skills.
Preferred Qualifications:
- Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
- Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
- Familiarity with serverless architectures and microservices.
ketteQ is a supply chain planning and automation platform. We are looking for an experienced AWS Devops Engineer to help manage AWS infrastructure and automation. This job comes with a attractive compensation package, work-from-home and flex-time benefits. You will get to work on projects for large global brands with a highly experienced team based in US and India. If you are high-energy, motivated, and initiative-taking individual then this could be a fantastic opportunity for you. Candidates must meet the following requirements:
Duties & Responsibilities
- Deployment, automation, management, and maintenance of AWS cloud-based production system
- Build a deployment pipeline for AWS and Salesforce
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure defined as cloud formation template
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- 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
Requirements
- At least 5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, Fargate, S3, Cloud Formation)
- Strong understanding of how to secure AWS environments and meet compliance requirements
- Solid foundation of networking and Linux administration
- Experience with Docker, GitHub, Jenkins, Cloud Formation and deploying applications on AWS
- Ability to learn/use a wide variety of open source technologies and tools
- Database experience to help with monitoring and performance; PostgreSql experience preferred
- AWS certification preferred
Education
- Bachelors in Engineering or related field
POSITION SUMMARY:
We are looking for a passionate, high energy individual to help build and manage the infrastructure network that powers the Product Development Labs for F5 Inc. The F5 Infra Engineer plays a critical role to our Product Development team by providing valuable services and tools for the F5 Hyderabad Product Development Lab. The Infra team supports both production systems and customized/flexible testing environments used by Test and Product Development teams. As an Infra Engineer, you ’ll have the opportunity to work with cutting-edge technology and work with talented individuals. The ideal candidate will have experience in Private and Public Cloud – AWS-AZURE-GCP, OpenStack, storage, Backup, VMware, KVM, XEN, HYPER-V Hypervisor Server Administration, Networking and Automation in Data Center Operations environment at a global enterprise scale with Kubernetes, OpenShift Container Flatforms.
EXPERIENCE
7- 9+ Years – Software Engineer III
PRIMARY RESPONSIBILITIES:
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Drive the design, Project Build, Infrastructure setup, monitoring, measurements, and improvements around the quality of services Provided, Network and Virtual Instances service from OpenStack, VMware VIO, Public and private cloud and DevOps environments.
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Work closely with the customers and understand the requirements and get it done on timelines.
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Work closely with F5 architects and vendors to understand emerging technologies and F5 Product Roadmap and how they would benefit the Infra team and its users.
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Work closely with the Team and complete the deliverables on-time
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Consult with testers, application, and service owners to design scalable, supportable network infrastructure to meet usage requirements.
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Assume ownership for large/complex systems projects; mentor Lab Network Engineers in the best practices for ongoing maintenance and scaling of large/complex systems.
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Drive automation efforts for the configuration and maintainability of the public/private Cloud.
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Lead product selection for replacement or new technologies
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Address user tickets in a timely manner for the covered services
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Responsible for deploying, managing, and supporting production and pre-production environments for our core systems and services.
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Migration and consolidations of infrastructure
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Design and implement major service and infrastructure components.
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Research, investigate and define new areas of technology to enhance existing service or new service directions.
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Evaluate performance of services and infrastructure; tune, re-evaluate the design and implementation of current source code and system configuration.
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Create and maintain scripts and tools to automate the configuration, usability and troubleshooting of the supported applications and services.
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Ability to take ownership on activities and new initiatives.
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Infra Global Support from India towards product Development teams.
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On-call support on a rotational basis for a global turn-around time-zones
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Vendor Management for all latest hardware and software evaluations keep the system up-to-date.
KNOWLEDGE, SKILLS AND ABILITIES:
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Have an in-depth multi-disciplined knowledge of Storage, Compute, Network, DevOps technologies and latest cutting-edge technologies.
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Multi-cloud - AWS, Azure, GCP, OpenStack, DevOps Operations
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IaaS- Infrastructure as a service, Metal as service, Platform service
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Storage – Dell EMC, NetApp, Hitachi, Qumulo and Other storage technologies
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Hypervisors – (VMware, Hyper-V, KVM, Xen and AHV)
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DevOps – Kubernetes, OpenShift, docker, other container and orchestration flatforms
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Automation – Scripting experience python/shell/golan , Full Stack development and Application Deployment
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Tools - Jenkins, splunk, kibana, Terraform, Bitbucket, Git, CI/CD configuration.
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Datacenter Operations – Racking, stacking, cable matrix, Solution Design and Solutions Architect
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Networking Skills – Cisco/Arista Switches, Routers, Experience on Cable matrix design and pathing (Fiber/copper)
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Experience in SAN/NAS storage – (EMC/Qumulo/NetApp & others)
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Experience with Red Hat Ceph storage.
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A working knowledge of Linux, Windows, and Hypervisor Operating Systems and virtual machine technologies
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SME - subject matter expert for all cutting-edge technologies
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Data center architect professional & Storage Expert level Certified professional experience .
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A solid understanding of high availability systems, redundant networking and multipathing solutions
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Proven problem resolution related to network infrastructure, judgment, negotiating and decision-making skills along with excellent written and oral communication skills.
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A Working experience in Object – Block – File storage Technologies
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Experience in Backup Technologies and backup administration.
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Dell/HP/Cisco UCS server’s administration is an additional advantage.
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Ability to quickly learn and adopt new technologies.
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A very very story experience and exposure towards open-source flatforms.
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A working experience on monitoring tools Zabbix, nagios , Datadog etc ..
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A working experience on and BareMetal services and OS administration.
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A working experience on the cloud like AWS- ipsec, Azure - express route, GCP – Vpn tunnel etc.
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A working experience in working using software define network like (VMware NSX, SDN, Openvswitch etc ..)
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A working experience with systems engineering and Linux /Unix administration
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A working experience with Database administration experience with PostgreSQL, MySQL, NoSQL
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A working experience with automation/configuration management using either Puppet, Chef or an equivalent
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A working experience with DevOps Operations Kubernetes, container, Docker, and git repositories
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Experience in Build system process and Code-inspect and delivery methodologies.
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Knowledge on creating Operational Dashboards and execution lane.
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Experience and knowledge on DNS, DHCP, LDAP, AD, Domain-controller services and PXE Services
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SRE experience in responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning.
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Vendor support – OEM upgrades, coordinating technical support and troubleshooting experience.
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Experience in handling On-call Support and hierarchy process.
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Knowledge on scale-out and scale-in architecture.
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Working experience in ITSM / process Management tools like ServiceNow, Jira, Jira Align.
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Knowledge on Agile and Scrum principles
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Working experience with ServiceNow
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Knowledge sharing, transition experience and self-learning Behavioral.
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).
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description :
- Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
- Extensive AWS/GCP Core Infrastructure skills
- Infrastructure/ IAC Automation, Integration - Terraform
- Kubernetes resources engineering and management
- Experience with DevOps tools, CICD pipelines and release management
- Good at creating documentation(runbooks, design documents, implementation plans )
Linux Experience :
- Namespace
- Virtualization
- Containers
Networking Experience
- Virtual networking
- Overlay networks
- Vxlans, GRE
Kubernetes Experience :
Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.
Observability
Experience in observability is a plus
Cloud automation :
Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.
We (the Software Engineer team) are looking for a motivated, experienced person with a data-driven approach to join our Distribution Team in Bangalore to help design, execute and improve our test sets and infrastructure for producing high-quality Hadoop software.
A Day in the life
You will be part of a team that makes sure our releases are predictable and deliver high value to the customer. This team is responsible for automating and maintaining our test harness, and making test results reliable and repeatable.
You will:
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work on making our distributed software stack more resilient to high-scale endurance runs and customer simulations
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provide valuable fixes to our product development teams to the issues you’ve found during exhaustive test runs
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work with product and field teams to make sure our customer simulations match the expectations and can provide valuable feedback to our customers
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work with amazing people - We are a fun & smart team, including many of the top luminaries in Hadoop and related open source communities. We frequently interact with the research community, collaborate with engineers at other top companies & host cutting edge researchers for tech talks.
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do innovative work - Cloudera pushes the frontier of big data & distributed computing, as our track record shows. We work on high-profile open source projects, interacting daily with engineers at other exciting companies, speaking at meet-ups, etc.
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be a part of a great culture - Transparent and open meritocracy. Everybody is always thinking of better ways to do things, and coming up with ideas that make a difference. We build our culture to be the best workplace in our careers.
You have:
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strong knowledge in at least 1 of the following languages: Java / Python / Scala / C++ / C#
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hands-on experience with at least 1 of the following configuration management tools: Ansible, Chef, Puppet, Salt
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confidence with Linux environments
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ability to identify critical weak spots in distributed software systems
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experience in developing automated test cases and test plans
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ability to deal with distributed systems
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solid interpersonal skills conducive to a distributed environment
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ability to work independently on multiple tasks
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self-driven & motivated, with a strong work ethic and a passion for problem solving
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innovate and automate and break the code
The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you to apply! An adventure in data awaits.
- 2+ years of demonstrable experience leading site reliability and performance in large-scale, high-traffic environments
- 2+ years of hands-on experience as a DevOps engineer
- Strong leadership, communication and interpersonal skills geared to getting things done
- Developing themselves and the talent within their charge – fostering and creating opportunity for the team
- Strong understanding of SRE concepts and the DevOps culture. Set the direction and strategy for your team, and help shape the overall SRE program for the company
- Be able to lead complicated technical issues and communicating status updates/RCA with management and customers.
- Own site stability, performance, capacity planning, DevOps recruitment.
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








