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

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Role Overview:
Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.
Work Location: Pune
Job Type: Hybrid
Role Responsibilities:
- GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
- Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
- Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
- Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
- Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
- Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
- Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
- Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.
Required Qualifications:
- Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
- 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
- Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
- Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
- Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
- Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
- Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
- Comfort operating hybrid environments that include both Linux and Windows ecosystems.
- Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
- Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.
Good to Have:
- Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
- Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
- Exposure to AWS or other public clouds in addition to GCP.
- Experience operating SaaS platforms built on microservices architectures.
About Simbian
Simbian is at the forefront of cybersecurity innovation, leveraging purpose-built AI Agents to deliver 10x security outcomes for global enterprises and MSSPs. Our platform autonomously investigates and responds to alerts, freeing security teams from repetitive tasks. Simbian combines privacy-first technology, proven integration with 70+ enterprise tools, and rapid deployment for measurable value. Role
Overview
We are seeking a collaborative, innovative DevOps Engineer passionate about enabling secure, scalable operations for cutting-edge cybersecurity products. Join our team during a period of high growth and help architect the future of agentic AI security platforms.
Key Responsibilities
• Kubernetes Management:
o Manage and maintain production-grade Kubernetes clusters across multiple cloud providers (AWS is essential, Azure is valuable, GCP is a plus).
o Deploy, upgrade, troubleshoot, and scale stateful and stateless workloads (NGINX, Postgres, MongoDB, OpenCTI, OpenSearch, Kafka, Hadoop, Fluentd) in Kubernetes.
• Cloud Operations:
o Operate and optimize cloud environments, with strong expertise in AWS (AWS Certified Solutions Architect Professional or equivalent Azure cert preferred).
o Design, deploy, and manage infrastructure on AWS and Azure (GCP optional). • SQL Database Management:
o Administer SQL databases, ideally Postgres, on Kubernetes clusters or cloud VMs.
o Perform routine maintenance, backups, upgrades, monitoring, and optimization.
• Infrastructure as Code:
o Build, install, upgrade, and maintain Helm charts with expertise.
o Use and understand Ansible for cloud automation (AWS/Azure), and Terraform for infrastructure provisioning.
• Monitoring, Logging, Observability:
o Implement and manage logging and metrics stacks using OpenSearch/Elasticsearch, Prometheus, Grafana, Thanos or similar open source tools.
• Programming & Scripting:
o Develop automation scripts in Bash (proficient with control structures). o Produce scripts or microservices in Node.js (preferred) or Python/Django (bonus).
• CI/CD:
o Build and maintain CI/CD pipelines preferably using GitHub Actions (Jenkins or equivalent is acceptable).
• Containerization:
o Create, manage, and troubleshoot Docker/Podman containers, images, volumes, and use Docker Compose for local development.
• Customer-Facing On-Prem Deployments (Bonus):
o Install, configure, and support Kubernetes on customer premises.
o Demonstrate ownership, initiative, and strong customer communication skills.
o Solid knowledge of Linux administration, networking, and cloud environments.
What You’ll Bring:
• 4+ years’ experience in DevOps, SRE, or Production Engineering.
• Mastery of Kubernetes, AWS, infrastructure automation, and database management.
• Strong collaborative, curious, and growth-driven mindset.
• Ability to challenge ideas, drive innovation, and embrace rapid change.
• Excellent communication for technical customer interactions.
Why Join Simbian?
• Work with pioneering agentic AI security—impact global security teams.
• Shape infrastructure for privacy-first technology in a high-growth startup.
• Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement.
Experience: 8-10yrs
Notice Period: max 15days
Must-haves*
1. Knowledge about Database/NoSQL DB hosting fundamentals (RDS multi-AZ, DynamoDB, MongoDB, and such)
2. Knowledge of different storage platforms on AWS (EBS, EFS, FSx) - mounting persistent volumes with Docker Containers
3. In-depth knowledge of Security principles on AWS (WAF, DDoS, Security Groups, NACL's, IAM groups, and SSO)
4. Knowledge on CI/CD platforms is required (Jenkins, GitHub actions, etc.) - Migration of AWS Code pipelines to GitHub actions
5. Knowledge of vast variety of AWS services (SNS, SES, SQS, Athena, Kinesis, S3, ECS, EKS, etc.) is required
6. Knowledge on Infrastructure as Code tool is required We use Cloudformation. (Terraform is a plus), ideally, we would like to migrate to Terraform from CloudFormation
7. Setting CloudWatch Alarms and SMS/Email Slack alerts.
8. Some Knowledge on configuring any kind of monitoring tool such as Prometheus, Dynatrace, etc. (We currently use Datadog, CloudWatch)
9. Experience with any CDN provider configurations (Cloudflare, Fastly, or CloudFront)
10. Experience with either Python or Go scripting language.
11. Experience with Git branching strategy
12. Containers hosting knowledge on both Windows and Linux
The below list is *Nice to Have*
1. Integration experience with Code Quality tools (SonarQube, NetSparker, etc) with CI/CD
2. Kubernetes
3. CDN's other than CloudFront (Cloudflare, Fastly, etc)
4. Collaboration with multiple teams
5. GitOps
Exp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
Hammoq is an exponentially growing Startup in US and UK.
Design and implement secure automation solutions for development, testing, and production environments
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Build and deploy automation, monitoring, and analysis solutions
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Manage our continuous integration and delivery pipeline to maximize efficiency
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Implement industry best practices for system hardening and configuration management
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Secure, scale, and manage Linux virtual environments
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Develop and maintain solutions for operational administration, system/data backup, disaster recovery, and security/performance monitoring
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Continuously evaluate existing systems with industry standards, and make recommendations for improvement
Desired Skills & Experiences
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Bachelor’s or Master's degree in Computer Science, Engineering, or related field
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Understanding of system administration in Linux environments
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Strong knowledge of configuration management tools
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Familiarity with continuous integration tools such as Jenkins, Travis CI, Circle CI
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Proficiency in scripting languages including Bash, Python, and JavaScript
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Strong communication and documentation skills
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An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail
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Excellent judgment, analytical thinking, and problem-solving skills
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Full understanding of software development lifecycle best practices
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Self-motivated individual that possesses excellent time management and organizational skills
In PM's Words
Bash scripting, Containerd(or docker), Linux Operating system basics, kubernetes, git, Jenkins ( or any pipeline management), GCP ( or idea on any cloud technology)
Linux is major..most of the people are coming from Windows.. we need Linux.. and if windows is also there it will be added advantage
There is utmost certainilty that you will be working with an amazing team...
- As a DevOps Engineer, you need to have strong experience in CI/CD pipelines.
- Setup development, testing, automation tools, and IT infrastructure
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Selecting and deploying appropriate CI/CD tools
- Deploy and maintain CI/CD pipelines across multiple environments (Mobile, Web API’s & AIML)
Required skills & experience:
- 3+ years of experience as DevOps Engineer and strong working knowledge in CI/CD pipelines
- Experience administering and deploying development CI/CD using Git, BitBucket, CodeCommit, Jira, Jenkins, Maven, Gradle, etc
- Strong knowledge in Linux-based infrastructures and AWS/Azure/GCP environment
- Working knowledge on AWS (IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, etc)
- Experience with Docker containerization and clustering (Kubernetes/ECS)
- Experience on Android source(AOSP) clone, build, and automation ecosystems
- Knowledge of scripting languages such as Python, Shell, Groovy, Bash, etc
- Familiar with Android ROM development and build process
- Knowledge of Agile Software Development methodologies
- Solve complex Cloud Infrastructure problems.
- Drive DevOps culture in the organization by working with engineering and product teams.
- Be a trusted technical advisor to developers and help them architect scalable, robust, and highly-available systems.
- Frequently collaborate with developers to help them learn how to run and maintain systems in production.
- Drive a culture of CI/CD. Find bottlenecks in the software delivery pipeline. Fix bottlenecks with developers to help them deliver working software faster. Develop and maintain infrastructure solutions for automation, alerting, monitoring, and agility.
- Evaluate cutting edge technologies and build PoCs, feasibility reports, and implementation strategies.
- Work with engineering teams to identify and remove infrastructure bottlenecks enabling them to move fast. (In simple words you'll be a bridge between tech, operations & product)
Skills required:
Must have:
- Deep understanding of open source DevOps tools.
- Scripting experience in one or more among Python, Shell, Go, etc.
- Strong experience with AWS (EC2, S3, VPC, Security, Lambda, Cloud Formation, SQS, etc)
- Knowledge of distributed system deployment.
- Deployed and Orchestrated applications with Kubernetes.
- Implemented CI/CD for multiple applications.
- Setup monitoring and alert systems for services using ELK stack or similar.
- Knowledge of Ansible, Jenkins, Nginx.
- Worked with Queue based systems.
- Implemented batch jobs and automated recurring tasks.
- Implemented caching infrastructure and policies.
- Implemented central logging.
Good to have:
- Experience dealing with PI information security.
- Experience conducting internal Audits and assisting External Audits.
- Experience implementing solutions on-premise.
- Experience with blockchain.
- Experience with Private Cloud setup.
Required Experience:
- B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience.
- You need to have 2-4 years of DevOps & Automation experience.
- Need to have a deep understanding of AWS.
- Need to be an expert with Git or similar version control systems.
- Deep understanding of at least one open-source distributed systems (Kafka, Redis, etc)
- Ownership attitude is a must.
We offer a suite of memberships and subscriptions to spice up your lifestyle. We believe in practicing an ultimate work life balance and satisfaction. Working hard doesn’t mean clocking in extra hours, it means having a zeal to contribute the best of your talents. Our people culture helps us inculcate measures and benefits which help you feel confident and happy each and every day. Whether you’d like to skill up, go off the grid, attend your favourite events or be an epitome of fitness. We have you covered round and about.
- Health Memberships
- Sports Subscriptions
- Entertainment Subscriptions
- Key Conferences and Event Passes
- Learning Stipend
- Team Lunches and Parties
- Travel Reimbursements
- ESOPs
Thats what we think would bloom up your personal life, as a gesture for helping us with your talents.
Join us to be a part of our Exciting journey to Build one Digital Identity Platform!!!
Your skills and experience should cover:
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5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
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Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
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5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
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Experience with Scrum/Agile methodology.
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Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
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Experience with AWS Data Storage Tools.
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Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
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Experience working with GIT, or similar tools.
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Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
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Experience with Docker
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Experience with PostgreSQL database










