Docker
KubernetesDevops Engineer
Roles and Responsibilities:
As a DevOps Engineer, you’ll be responsible for ensuring that our products can be seamlessly deployed on infrastructure, whether it is on-prem or on public clouds.
- Create, Manage and Improve CI / CD pipelines to ensure our Platform and Applications can be deployed seamlessly
- Evaluate, Debug, and Integrate our products with various Enterprise systems & applications
- Build metrics, monitoring, logging, configurations, analytics and alerting for performance and security across all endpoints and applications
- Build and manage infrastructure-as-code deployment tooling, solutions, microservices and support services on multiple cloud providers and on-premises
- Ensure reliability, availability and security of our infrastructure and products
- Update our processes and design new processes as needed to optimize performance
- Automate our processes in compliance with our security requirements
- Manage code deployments, fixes, updates, and related processes
- Manage environment where we deploy our product to multiple clouds that we control as well as to client-managed environments
- Work with CI and CD tools, and source control such as GIT and SVN. DevOps Engineer
Skills/Requirements:
- 2+ years of experience in DevOps, SRE or equivalent positions
- Experience working with Infrastructure as Code / Automation tools
- Experience in deploying, analysing, and debugging on multiple environments (AWS, Azure, Private Clouds, Data Centres, etc), Linux/Unix administration, Databases such as MySQL, PostgreSQL, NoSQL, DynamoDB, Cosmos DB, MongoDB, Elasticsearch and Redis (both managed instances as well as self-installed).
- Knowledge of scripting languages such as Python, PowerShell and / or Bash.
- Hands-on experience with the following is a must: Docker, Kubernetes, ELK Stack
- Hands-on experience with at least three of the following- Terraform, AWS Cloud Formation, Jenkins, Wazuh SIEM, Ansible, Ansible Tower ,Puppet ,Chef
- Good troubleshooting skills with the ability to spot issues.
- Strong communication skills and documentation skills.
- Experience with deployments with Fortune 500 or other large Global Enterprise clients is a big plus
- Experience with participating in an ISO27001 certification / renewal cycle is a plus.
- Understanding of Information Security fundamentals and compliance requirements
Work From Home
Start Up Background is preferred
Company Location: Noida
Shubham Vishwakarma
Full Stack Developer - Averlon
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IT Infrastructure & System Administration
• Manage Windows/Linux servers, desktop systems, Active Directory, DNS, DHCP, and virtual environments (VMware/Hyper-V)
• Monitor system performance and implement improvements for efficiency and availability
• Oversee patch management, backups, disaster recovery, and security configurations
• Ensure IT compliance, conduct audits, and maintain detailed documentation
DevOps & Cloud Operations
• Design, implement, and manage CI/CD pipelines using Jenkins, GitHub Actions, or similar tools
• Manage container orchestration using Kubernetes; deploy infrastructure using Terraform
• Administer and optimise AWS cloud infrastructure
• Automate deployment, monitoring, and alerting solutions for production environments
Security, Maintenance & Support
• Define and enforce IT and DevOps security policies and procedures
• Perform root cause analysis (RCA) for system failures and outages
• Provide Tier 2/3 support and resolve complex system and production issues
Collaboration & Communication
• Coordinate IT projects (e.g., upgrades, migrations, cloud implementations)
• Collaborate with engineering and product teams for release cycles and production deployments
• Maintain clear communication with internal stakeholders and provide regular reporting
Qualifications & Skills
• Bachelor's or master’s in computer science, IT, or related field
• 3-8 years of experience in IT systems administration and/or DevOps roles
• Proficiency in:
o Windows Server (2016/2019/2022), Linux systems
o Cloud platforms (preferably AWS) o CI/CD tools (Jenkins, GitHub Actions, etc.)
o Kubernetes, Docker, Terraform, Python/Shell scripting
o Database management (MySQL, MongoDB)
• Relevant certifications (e.g., MCSA, AWS, DevOps) are a plus
• Strong knowledge of Windows Server (2016/2019/2022) and Windows operating systems.
• Experience with Active Directory, Group Policy, DNS, DHCP, and other Windows-based services.
• Familiarity with virtualization technologies (e.g., VMware, Hyper-V).
• Proficiency in scripting languages (e.g., PowerShell).
• Strong understanding of networking principles and protocols.
• Relevant certifications (e.g., MCSA, MCSE) are a plus.
Key Competencies
• Strong problem-solving and troubleshooting skills
• Excellent communication and interpersonal abilities
• Ability to manage multiple priorities and work independently
• High attention to detail and a continuous improvement mindset
DockerKubernetes
Amazon Web Services (AWS)Company Overview
Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge.
Position Overview
We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability.
Key Responsibilities
- Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices.
- Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency.
- Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users.
- Implement and manage CI/CD pipelines to automate software delivery and ensure code quality.
- Manage and configure cloud-based infrastructure services to optimize performance and cost.
- Collaborate with development teams to design and implement scalable, reliable, and secure applications.
- Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues.
- Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data.
- Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability.
- Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role
- Strong understanding of cloud computing principles and experience with AWS
- Experience of building and supporting complex CI/CD pipelines using Github
- Experience of building and supporting infrastructure as a code using Terraform
- Proficiency in scripting and automating tools
- Solid understanding of networking concepts and protocols
- Understanding of security best practices and experience implementing security controls in cloud environments
- Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage.
KubernetesDockerAmazon Web Services (AWS)- Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
- Design and build tools and frameworks that support deployment and management and platforms
- Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
- Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
- Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
- Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
- Work independently across multiple platforms and applications to understand dependencies
- Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
- Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
- Competencies
- Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
- Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
- Working knowledge of Amazon Web Services and related APIs
- Ability to deliver and manage web or cloud-based services
- General familiarity with monitoring tools
- General familiarity with configuration/provisioning tools such as Terraform
- Experience
- Experience working within an Agile type environment
- 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
- 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes
Amazon Web Services (AWS)DockerKubernetes- At least 5 year of experience in Cloud technologies-AWS and Azure and developing.
- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills
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
KubernetesDockerAmazon Web Services (AWS)Hands on Experience with Linux administration
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
Amazon Web Services (AWS)
Python
JenkinsExperience of Linux
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
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
JenkinsAmazon Web Services (AWS)1. Developing a video player website where students can learn various courses, view e-books, solve tests, etc.
2. Building the product to reach higher scalability
3. Developing software to integrate with internal back-end systems
4. Working on AWS cloud platform
5. Working on Amazon Ec2, Amazon S3 bucket, and Git
6. Working on the implementation of continuous integration and deployment pipelines using Jenkins (mandatory)
7. Monitoring, troubleshooting, and diagnosing infrastructure systems (excellent knowledge required for the same)
8. Building tools to reduce the occurrences of errors and improve customer experience
9. Should have experience in MERN Stack too.
DockerKubernetes1. 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.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon