Kubernetes
Docker
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
Shubham Vishwakarma
Full Stack Developer - Averlon
About wwwthehiveai
About
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PythonReview Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.
KubernetesPlease Apply - https://zrec.in/IGpwc?source=CareerSite
About Us
Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.
Job Description
Job Title: DevOps Intern
Department: Technology
Location: Gurgaon
Work Mode: On-site
Working Hours: 10 AM - 7 PM
Terms: Permanent
Experience: 6+ Months
Education: B.Tech/MCA/BCA
Notice Period: Immediately
We are seeking a motivated and talented DevOps Intern to join our dynamic team. As a DevOps Intern, you will have the opportunity to work closely with our experienced DevOps engineers to support and improve our development and deployment processes. This is an excellent opportunity for someone looking to kick-start their career in DevOps and gain hands-on experience in a fast-paced, innovative environment.
Below is a detailed description of the roles and responsibilities, expectations for the role.
Tech Stack :
- Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
- Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
- ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
- Helm: Expertise in Helm for managing Kubernetes applications.
- Cloud Platforms: Expertise in AWS, GCP or Azure will be an added advantage.
- Debugging and Troubleshooting: The DevOps Intern must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.
Key Responsibilities:
- Assist in the development, deployment, and maintenance of cloud infrastructure.
- Collaborate with development and operations teams to automate and improve the CI/CD pipeline.
- Monitor system performance and troubleshoot issues to ensure high availability and reliability.
- Implement and maintain configuration management tools.
- Participate in code reviews and contribute to improving development practices.
- Assist in the creation of documentation for processes and procedures.
- Support the team in managing and maintaining development and production environments.
Qualifications:
- Currently pursuing or recently completed a degree in Computer Science, Information Technology, or a related field.
- Added advantage if prior internship experience and have completed DevOps course or certification.
- Basic understanding of cloud platforms (AWS, Azure, GCP) and cloud services.
- Familiarity with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).
- Basic knowledge of scripting languages (Python, Bash, etc.).
- Understanding of version control systems (Git, SVN).
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Eagerness to learn and adapt to new technologies and processes.
Preferred Qualifications:
- Experience with containerization technologies (Docker, Kubernetes).
- Knowledge of infrastructure as code (Terraform, Ansible).
- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack).
- Previous internship or project experience in DevOps or related fields.
What We Offer:
- Hands-on experience with modern DevOps tools and practices.
- Mentorship and guidance from experienced professionals.
- Opportunity to work on real-world projects and make a tangible impact.
- Collaborative and supportive work environment.
- Potential for future full-time opportunities based on performance.
Internship Details:
- Duration: 6 months of internship which can be converted to full-time employment based on performance
- Location: Gurgaon
- Mode: In Office
Amazon Web Services (AWS)DockerKubernetesMactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
We are looking for a DevOps Engineer with expertise in infrastructure as a code, configuration management, continuous integration, continuous deployment, automated monitoring for big data workloads, large enterprise applications, customer applications, and databases.
You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. If you love to solve problems using your skills, then join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
- Automate infrastructure creation with Terraform, AWS Cloud Formation
- Perform application configuration management, and application-deployment tool enabling infrastructure as code.
- Take ownership of the Build and release cycle of the customer project.
- Share the responsibility for deploying releases and conducting other operations maintenance.
- Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
- Provide operational support for the rest of the Engineering team help migrate our remaining dedicated hardware infrastructure to the cloud.
- Establish and maintain operational best practices.
- Participate in hiring culturally fit engineers in the organization, help engineers make their career paths by consulting with them.
- Design the team strategy in collaboration with founders of the organization.
What are we looking for?
- 4+ years of experience in using Terraform for IaaC
- 4+ years of configuration management and engineering for large-scale customers, ideally supporting an Agile development process.
- 4+ years of Linux or Windows Administration experience.
- 4+ years of version control systems (git), including branching and merging strategies.
- 2+ Experience in working with AWS Infrastructure, and platform services.
- 2+ Experience in cloud automation tools (Ansible, Chef).
- Exposure to working on container services like Kubernetes on AWS, ECS, and EKS
- You are extremely proactive at identifying ways to improve things and to make them more reliable.
You will be preferred if
- Expertise in multiple cloud services provider: Amazon Web Services, Microsoft Azure, Google Cloud Platform
- AWS Solutions Architect Professional or Associate Level Certificate
- AWS DevOps Professional Certificate
Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
KubernetesAmazon Web Services (AWS)Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
-
4+ years of experience in IT and infrastructure
-
2+ years of experience in Azure Devops
-
Experience with Azure DevOps using both as CI / CD tool and Agile framework
-
Practical experience building and maintaining automated operational infrastructure
-
Experience in building React or Angular applications, .NET is must.
-
Practical experience using version control systems with Azure Repo
-
Developed and maintained scripts using Power Shell, ARM templates/ Terraform scripts for Infrastructure as a Code.
-
Experience in Linux shell scripting (Ubuntu) is must
-
Hands on experience with release automation, configuration and debugging.
-
Should have good knowledge of branching and merging
-
Integration of tools like static code analysis tools like SonarCube and Snky or static code analyser tools is a must.
Amazon Web Services (AWS)
JenkinsDesignation - DevOps Engineer
Urgently required. (NP of maximum 15 days)
Location:- Mumbai
Experience:- 3-5 years.
Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.
DevOps Engineer Job Description:-
Responsibilities
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer & client experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Requirements
- Work experience as a DevOps Engineer or similar software engineering role
- Work experience on AWS
- Good knowledge of Ruby or Python
- Working knowledge of databases and SQL
- Problem-solving attitude
- Team spirit
- BSc in Computer Science, Engineering or relevant field
Amazon Web Services (AWS)
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.
Amazon Web Services (AWS)Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon