Kubernetes
Docker
Amazon Web Services (AWS)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
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4+ years of experience in building infrastructure experience with Cloud Providers ( AWS, Azure, GCP)
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Experience in deploying containerized applications build on NodeJS/PHP/Python to kubernetes cluster.
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Experience in monitoring production workload with relevant metrics and dashboards.
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Experience in writing automation scripts using Shell, Python, Terraform, etc.
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Experience in following security practices while setting up the infrastructure.
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Self-motivated, able, and willing to help where help is needed
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Able to build relationships, be culturally sensitive, have goal alignment, have learning agility
Roles and Responsibilities
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Manage various resources across different cloud providers. (Azure, AWS, and GCP)
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Monitor and optimize infrastructure cost.
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Manage various kubernetes clusters with appropriate monitoring and alerting setup.
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Build CI/CD pipelines to orchestrate provisioning and deployment of various services into kubernetes infrastructure.
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Work closely with the development team on upcoming features to determine the correct infrastructure and related tools.
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Assist the support team with escalated customer issues.
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Develop, improve, and thoroughly document operational practices and procedures.
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Responsible for setting up good security practices across various clouds.
Shubham Vishwakarma
Full Stack Developer - Averlon
About KNOLSKAPE
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JenkinsRole: Senior Platform Engineer (GCP Cloud)
Experience Level: 3 to 6 Years
Work location: Mumbai
Mode : Hybrid
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- Build automation software for cloud platforms and applications
- Drive Infrastructure as Code (IaC) adoption
- Design self-service, self-healing monitoring and alerting tools
- Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
- Build Kubernetes container platforms
- Introduce new cloud technologies for business innovation
Requirements:
- Hands-on experience with GCP Cloud
- Knowledge of cloud services (compute, storage, network, messaging)
- IaC tools experience (Terraform/CloudFormation)
- SQL & NoSQL databases (Postgres, Cassandra)
- Automation tools (Puppet/Chef/Ansible)
- Strong Linux administration skills
- Programming: Bash/Python/Java/Scala
- CI/CD pipeline expertise (Jenkins, Git, Maven)
- Multi-region deployment experience
- Agile/Scrum/DevOps methodology
JenkinsKubernetesResponsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices
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Amazon Web Services (AWS)Docker
GitHubKubernetesketteQ 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
KubernetesDocker
PostgreSQLAbout 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
Amazon Web Services (AWS)Jenkins- Building and setting up new development tools and infrastructure
- Understanding the needs of stakeholders and conveying this to developers
- Working on ways to automate and improve development and release
processes - Testing and examining code written by others and analyzing results
- Ensuring that systems are safe and secure against cybersecurity
threats - Identifying technical problems and developing software updates and ‘fixes’
- Working with software developers and software engineers to ensure that development follows established processes and works as intended
- Planning out projects and being involved in project management decisions
- BE / MCA / B.Sc-IT / B.Tech in Computer Science or a related field.
- 4+ years of overall development experience.
- Strong understanding of cloud deployment and setup
- Hands-on experience with tools like Jenkins, Gradle etc.
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer experience
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate deployment
- Design procedures for system troubleshooting and maintenance
- Skills and Qualifications
- Proficient with git and git workflows
- Working knowledge of databases and SQL
- Problem-solving attitude
- Collaborative team spirit
KubernetesDockerRole Summary
In this role, you will lead the DevOps function at the organisation and work through all
facets of software development: design, prototype, implementation, testing and
documentation.
Responsibilities
- Design, prototype, implement, test and troubleshoot deployment strategies
- BS in Computer Science, Mathematics, Engineering or equivalent. MS or higher degree
- preferred.
- Design continuous integration and delivery pipelines using latest tools and platformsv
- Demonstrated understanding and hands-on experience in Kubernetes, K8s-Ingress,
- Docker, AWS EC2, VPC, Route53, ELB, RDS, MongoDB, Helm, Rancher, Jenkins,
- VPN, GKE.
- Create high level deployment design (HLSD) documents and outline software solutions
- Strong DevOps Management experience with focus on server-side development and
- database design
- Optimize application for maximum speed and scalability
- Strong understanding of web technologies, web services, communication protocols,
- (REST, SOAP API’s) and a proven track record in developing communication between
- desktop applications and web services
- Knowledge of Agile software development methodologies
- Cooperating with the back-end developer in the process of building the RESTful API
Qualification
- Experience with working on code enhancements within a large, complex software
- system
- Create server side deployment primarily in the Cloud, Collaboration space
- 10+ years of relevant experience in developing and managing web/app products.
- Experience with a few of these languages: Shell, Ruby/ JRuby, Python, PowerShell, Java,
- Go
- Hands-on experience in deploying and managing highly scalable cloud applications
- using AWS,Google Cloud
- Assure that all user input is validated before submitting to back-end
- Basic understanding of cloud security and hands on experience in building secure
- systems.
- Prepare accurate implementation task lists / time estimates and deliver assignments as
- per functional specifications, quality standards and project schedulesvvvv
DockerKubernetesAmazon Web Services (AWS)Experienced with Azure DevOps, CI/CD and Jenkins.
Experience is needed in Kubernetes (AKS), Ansible, Terraform, Docker.
Good understanding in Azure Networking, Azure Application Gateway, and other Azure components.
Experienced Azure DevOps Engineer ready for a Senior role or already at a Senior level.
Demonstrable experience with the following technologies:
Microsoft Azure Platform As A Service (PaaS) product such as Azure SQL, AppServices, Logic Apps, Functions and other Serverless services.
Understanding of Microsoft Identity and Access Management products such including Azure AD or AD B2C.
Microsoft Azure Operational and Monitoring tools, including Azure Monitor, App Insights and Log Analytics.
Knowledge of PowerShell, GitHub, ARM templates, version controls/hotfix strategy and deployment automation.
Ability and desire to quickly pick up new technologies, languages, and tools
Excellent communication skills and Good team player.
Passionate about code quality and best practices is an absolute must
Must show evidence of your passion for technology and continuous learning
Amazon Web Services (AWS)About the Company
Blue Sky Analytics is a Climate Tech startup that combines the power of AI & Satellite data to aid in the creation of a global environmental data stack. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental data-sets spanning water, land, heat, and more!
We are looking for DevOps Engineer who can help us build the infrastructure required to handle huge datasets on a scale. Primarily, you will work with AWS services like EC2, Lambda, ECS, Containers, etc. As part of our core development crew, you’ll be figuring out how to deploy applications ensuring high availability and fault tolerance along with a monitoring solution that has alerts for multiple microservices and pipelines. Come save the planet with us!
Your Role
- Applications built at scale to go up and down on command.
- Manage a cluster of microservices talking to each other.
- Build pipelines for huge data ingestion, processing, and dissemination.
- Optimize services for low cost and high efficiency.
- Maintain high availability and scalable PSQL database cluster.
- Maintain alert and monitoring system using Prometheus, Grafana, and Elastic Search.
Requirements
- 1-4 years of work experience.
- Strong emphasis on Infrastructure as Code - Cloudformation, Terraform, Ansible.
- CI/CD concepts and implementation using Codepipeline, Github Actions.
- Advanced hold on AWS services like IAM, EC2, ECS, Lambda, S3, etc.
- Advanced Containerization - Docker, Kubernetes, ECS.
- Experience with managed services like database cluster, distributed services on EC2.
- Self-starters and curious folks who don't need to be micromanaged.
- Passionate about Blue Sky Climate Action and working with data at scale.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
KubernetesDockerAmazon Web Services (AWS)Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
DockerJenkins
GitJob Description
- Experienced in Cloud (AWS, Digital Ocean, Google& Azure) development and System Operations.
- Cloud Storage Services and prior experience in designing and building infrastructure components in Amazon. DigitalOcean (or other cloud providers).
- Strong Linux experience (Red Hat 6.x/CentOS 5.x & 6.x, Debian).
- Expert Knowledge in - Git, Jenkins
- Should have experience in CI/CD Automation using tools like Jenkins, Ansible, puppet/Mcollective, Chef Docker, Kubernetes, GIT, Ansible, Terraform, Packer, Hashicorp Vault Docker, Kubernetes, Python Scripting etc.
- Good working knowledge with scripting languages such as Python, php
- Good communications and Presentation Skills
Preferred Education:
Bachelor's Degree or global equivalent in Computer Science or related field
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon