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 & RESPONSIBILITIES:
We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.
KEY RESPONSIBILITIES:
1. Cloud Security (AWS)-
- Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
- Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
- Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
- Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
- Ensure encryption of data at rest/in transit across all cloud services.
2. DevOps Security (IaC, CI/CD, Kubernetes, Linux)-
Infrastructure as Code & Automation Security:
- Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
- Enforce misconfiguration scanning and automated remediation.
CI/CD Security:
- Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
- Implement secure build, artifact signing, and deployment workflows.
Containers & Kubernetes:
- Harden Docker images, private registries, runtime policies.
- Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
- Apply CIS Benchmarks for Kubernetes and Linux.
Monitoring & Reliability:
- Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
- Ensure audit logging across cloud/platform layers.
3. MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-
Pipeline & Workflow Security:
- Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
- Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.
ML Platform Security:
- Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
- Control model access, artifact protection, model registry security, and ML metadata integrity.
Data Security:
- Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
- Enforce data versioning security, lineage tracking, PII protection, and access governance.
ML Observability:
- Implement drift detection (data drift/model drift), feature monitoring, audit logging.
- Integrate ML monitoring with Grafana/Prometheus/CloudWatch.
4. Network & Endpoint Security-
- Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
- Conduct vulnerability assessments, penetration test coordination, and network segmentation.
- Secure remote workforce connectivity and internal office networks.
5. Threat Detection, Incident Response & Compliance-
- Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
- Build security alerts, automated threat detection, and incident workflows.
- Lead incident containment, forensics, RCA, and remediation.
- Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
- Maintain security policies, procedures, RRPs (Runbooks), and audits.
IDEAL CANDIDATE:
- 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
- Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
- Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
- Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
- Strong Linux security (CIS hardening, auditing, intrusion detection).
- Proficiency in Python, Bash, and automation/scripting.
- Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
- Understanding of microservices, API security, serverless security.
- Strong understanding of vulnerability management, penetration testing practices, and remediation plans.
EDUCATION:
- Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
- Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
Job Description
Role: Sr. DevOps – Architect
Location: Bangalore
Who are we looking for?
A senior level DevOps consultant with deep DevOps related expertise. The Individual should be passionate about technology and demonstrate depth and breadth of expertise in similar roles and Enterprise Systems/Enterprise Architecture Frameworks;
Technical Skills:
• 8+ years of relevant DevOps /Operations/Development experience working under Agile DevOps culture on large scale distributed systems.
• Experience in building a DevOps platform in integrating DevOps tool chain using REST/SOAP/ESB technologies.
• Required hands on programming skills on developing automation modules using one of these scripting languages Python/Perl/Ruby/Bash
• Require hands on experience with public cloud such as AWS, Azure, Openstack, Pivotal Cloud Foundry etc though Azure experience is must.
• Experience in working more than one of the configuration management tools like Chef/Puppet/Ansible and building own cookbook/manifest is required.
• Experience with Docker and Kubernetes.
• Experience in Building CI/CD pipelines using any of the continuous integration tools like Jenkins, Bamboo etc.
• Experience with planning tools like Jira, Rally etc.
• Hands on experience on continuous integration and build tools like (Jenkins, Bamboo, CruiseControl etc.) along with version control system like (GIT, SVN, GITHUB, TFS etc.), build automation tools like Maven/Gradle/ANT and dependency management tools like Artifactory/Nexus.
• Experience with more than one deployment automation tools like IBM urban code, CA automic, XL Deploy etc.
• Experience on setting up and managing DevOps tools on Repository, Monitoring, Log Analysis etc. using tools like (New Relic, Splunk, App Dynamics etc.)
• Understanding of Applications, Networking and Open source tools.
• Experience on security side of DevOps i.e. DevSecOps
• Good to have understanding of Micro services architecture.
• Experience working with remote/offshore teams is a huge plus
• Experience in building a Dashboard based on latest JS technologies like NodeJS
• Experience with NoSQL database like MongoDB
• Experience in working with REST APIs
• Experience with tools like NPM, Gulp
Process Skills:
• Ability in performing rapid assessments of clients’ internal technology landscape and targeting use cases and deployment targets
• Develop and create program blueprint, case study, supporting technical documentations for DevOps to be commercialized and duplicate work across different business customers
• Compile, deliver, and evangelize roadmaps that guide the evolution of services
• Grasp and communicate big-picture enterprise-wide issues to team
• Experience working in an Agile / Scrum / SAFe environment preferred
Behavioral Skills :
• Should have directly worked on creating enterprise level operating models, architecture options
• Model as-is and to-be architectures based on business requirements
• Good communication & presentation skills
• Self-driven + Disciplined + Organized + Result Oriented + Focused & Passionate about work
• Flexible for short term travel
Primary Duties / Responsibilities:
• Build Automations and modules for DevOps platform
• Build integrations between various DevOps tools
• Interface with another teams to provide support and understand the overall vision of the transformation platform.
• Understand the customer deployment scenarios, and Continuously improve and update the platform based on agile requirements.
• Preparing HLDs and LLDs.
• Presenting status to leadership and key stakeholders at regular intervals
Qualification:
• Somebody who has at least 12+ years of work experience in software development.
• 5+ years industry experience in DevOps architecture related to Continuous Integration/Delivery solutions, Platform Automation including technology consulting experience
• Education qualification: B.Tech, BE, BCA, MCA, M. Tech or equivalent technical degree from a reputed college
Challenging opportunity to Improve and manage a complicated AWS Infrastructure built for ECG wearable, for live ecg streaming and monitoring Patients
The candidate must have 2-3 years of experience in the domain. The responsibilities include:
● Deploying system on Linux-based environment using Docker
● Manage & maintain the production environment
● Deploy updates and fixes
● Provide Level 1 technical support
● Build tools to reduce occurrences of errors and improve customer 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
● Experience working on Linux-based infrastructure
● Excellent understanding of MERN Stack, Docker & Nginx (Good to have Node Js)
● Configuration and managing databases such as Mongo
● Excellent troubleshooting
● Experience of working with AWS/Azure/GCP
● Working knowledge of various tools, open-source technologies, and cloud services
● Awareness of critical concepts in DevOps and Agile principles
● Experience of CI/CD Pipeline

As part of the Cloud Platform / Devops team at Upswing, you will get to work on building state-of-the-art infrastructure for the future. You will also be –
- Building Infrastructure on AWS driven through terraform and building automation tools for deployment, infrastructure management, and observability stack
- Building and Scaling on Kubernetes
- Ensuring the Security of Upswing Cloud Infra
- Building Security Checks and automation to improve overall security posture
- Building automation stack for components like JVM-based applications, Apache Pulsar, MongoDB, PostgreSQL, Reporting Infra, etc.
- Mentoring people across the teams to enable best practices
- Mentoring and guiding team members to upskill and helm them develop work class Fintech Infrastructure
What will you do if you join us?
- Write a lot of code
- Engage in a lot of cross-team collaboration to independently drive forward infrastructure initiatives and Devops practices across the org
- Taking Ownership of existing, ongoing, and future initiatives
- Plan Architecture- for upcoming infrastructure
- Build for Scale, Resiliency & Security
- Introduce best practices wrt Devops & Cloud in the team
- Mentor new/junior team members and eventually build your own team
You should have
- Curiosity for on-the-job learning and experimenting with new technologies and ideas
- A strong background in Linux environment
- Must have Programming skills and Experience
- Strong experience in Cloud technologies, Security and Networking concepts, Multi-cloud environments, etc.
- Experience with at least one scripting language (GoLang/Python/Ruby/Groovy)
- Experience in Terraform is highly desirable but not mandatory
- Experience with Kubernetes and Docker is required
- Understanding of the Java Technologies and Stack
- Any other Devops related experience will be considered
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
About Us
At Digilytics™, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients’ business.
Founded by Arindom Basu (Founding member of Infosys Consulting), the leadership of Digilytics™ is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics™ leadership is focused on building a values-first firm that will stand the test of time.
We are currently focused on developing a product, Revel FS, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, Revel CI, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players.
The leadership strongly believes in the ethos of enabling intelligence across the organization. Digiliytics AI is headquartered in London, with a presence across India.
Website: http://www.digilytics.ai">www.digilytics.ai
- Know about our product
- https://www.digilytics.ai/RevEL/Digilytics">Digilytics RelEL
- https://www.digilytics.ai/RevUP/">Digilytics RelUP
- What's it like working at Digilytics https://www.digilytics.ai/about-us.html">https://www.digilytics.ai/about-us.html
- Digilytics featured in Forbes: https://bit.ly/3zDQc4z">https://bit.ly/3zDQc4z
Responsibilities
- Experience with Azure services (Virtual machines, Containers, Databases, Security/Firewall, Function Apps etc)
- Hands-on experience on Kubernetes/Docker/helm.
- Deployment of java Builds & administration/configuration of Nginx/Reverse Proxy, Load balancer, Ms-SQL, Github, Disaster Recovery,
- Linux – Must have basic knowledge- User creation/deletion, ACL, LVM etc.
- CI/CD - Azure DevOps or any other automation tool like Terraform, Jenkins etc.
- Experience with SharePoint and O365 administration
- Azure/Kubernetes certification will be preferred.
- Microsoft Partnership experience is good to have.
- Excellent understanding of required technologies
- Good interpersonal skills and the ability to communicate ideas clearly at all levels
- Ability to work in unfamiliar business areas and to use your skills to create solutions
- Ability to both work in and lead a team and to deliver and accept peer review
- Flexible approach to working environment and hours to meet the needs of the business and clients
Must Haves:
- Hands-on experience on Kubernetes/Docker/helm.
- Experience on Azure/Aws or any other cloud provider.
- Linux & CI/CD tools knowledge.
Experience & Education:
- A start up mindset with proven experience working in both smaller and larger organizations having multicultural exposure
- Between 4-9 years of experience working closely with the relevant technologies, and developing world-class software and solutions
- Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Retail Consumer Services
- A bachelor's degree, or equivalent, in Software Engineering and Computer Science
Devops Engineer Position - 3+ years
Kubernetes, Helm - 3+ years (dev & administration)
Monitoring platform setup experience - Prometheus, Grafana
Azure/ AWS/ GCP Cloud experience - 1+ years.
Ansible/Terraform/Puppet - 1+ years
CI/CD - 3+ years
As DevOps Engineer Consultant you will be responsible for Continuous Integration, Continuous Development,
Continuous Delivery with a strong understanding of Business-Driven software integration and delivery approach, you will
be reporting into the Technical Lead.
Responsibilities & Duties
• Ideate and create CI and CD process and documentation for same.
• Ideate and create and Code Maintenance using Visual SVN/Jenkins.
• Design and implement new learning tools or knowledge
Job requirements:
• Should be able to research, design Code Maintenance Process from scratch.
• Should be able to research, design Continuous Integration Process from scratch.
• Should be able to research, design Continuous Development Process from scratch.
• Should be able to research, design Continuous Delivery Process from scratch.
• Should be worked on Install Shield for creating Instable.
• In-depth understanding of principles and best practices of Software Configuration Management (SCM) in Agile,
SCRUM and Waterfall methodologies.
• Experienced in Windows, Linux environment. Good knowledge and understanding of database and application
servers’ administration in a global production environment.
• Should have good understand and Knowledge on Windows and Linux Server Deployment
• Should have good understand and Knowledge on application hosting on Windows IIS
• Experienced in Visual SVN, Gitlab CI and Jenkins for CI and for End-to-End automation for all build and CD.
Mostly with product developed using Dot net technology.
• Experienced in working with version control systems like GIT and used Source code management client tools like
Git Bash, GitHub, Git Lab.
• Experience in using MAVEN/ANT/Bamboo as build tools for the building of deployable artifacts.
• Knowledge of using Routed Protocols: FTP, SFTP, SSH, HTTP, HTTPS and Connect directly.
• Experienced in deploying Database Changes to Oracle, db2, MSSQL and MYSQL databases.
• Having work experience in support of multi-platform like Windows, UNIX, Linux, Ubuntu.
• Managed multiple environments for both production and non-production where primary objectives included
automation, build out, integration and cost control.
• Expertise in trouble shooting the problems generated while building, deploying and production support.
• Good understanding of creating and managing the various development and build platforms and deployment
strategies.
• Excellent Knowledge of Application Lifecycle Management, Change & Release Management and ITIL process
• Exposed to all aspects of software development life cycle (SDLC) such as Analysis, Planning, Developing, Testing,
implementing and Post-production analysis of the projects.
• Good interaction with developers, managers, and team members to coordinate job tasks and strong
commitment to work.
• Documented daily meetings, build reports, release notes and many other day-to-day documentation and status
reports.
• Excellent communicative, interpersonal, intuitive and analytic and leadership skills with teamwork work
efficiently in both independent and teamwork environments.
• Enjoy working on all types of planned and unplanned issues/tasks.
• Implementing gitlab CI, gitlab, docker, maven ect.
• Should have knowledge on docker container which can be utilised in deployment process..
• Good Interpersonal Skills, team-working attitude, takes initiatives and very proactive in solving problems and
providing best solutions.
• Integrating various Version control tools, build tools, deployment methodologies (scripting) into Jenkins or (any
other tool), create an end to end orchestration build cycles.
• Troubleshoot build issues, performance and generating metrics on master's performance along with jobs usage.
• Design develop build and packaging tools for continuous integration build and reporting. Automate the build
and release cycles.
• Coordinate all build and release activities, ensure release processes is well documented, source control
repositories including branching and tagging.
• Maintain product release process, including generating and delivering release packages, generate various
metrics for tracking issues against releases and the means of tracking compatibility among products.
• Maintained and managed cloud & test environments and automation for QA, Product Management and Product
Support
Job Location: Jaipur
Experience Required: Minimum 3 years
About the role:
As a DevOps Engineer for Punchh, you will be working with our developers, SRE, and DevOps teams implementing our next generation infrastructure. We are looking for a self-motivated, responsible, team player who love designing systems that scale. Punchh provides a rich engineering environment where you can be creative, learn new technologies, solve engineering problems, all while delivering business objectives. The DevOps culture here is one with immense trust and responsibility. You will be given the opportunity to make an impact as there are no silos here.
Responsibilities:
- Deliver SLA and business objectives through whole lifecycle design of services through inception to implementation.
- Ensuring availability, performance, security, and scalability of AWS production systems
- Scale our systems and services through continuous integration, infrastructure as code, and gradual refactoring in an agile environment.
- Maintain services once a project is live by monitoring and measuring availability, latency, and overall system and application health.
- Write and maintain software that runs the infrastructure that powers the Loyalty and Data platform for some of the world’s largest brands.
- 24x7 in shifts on call for Level 2 and higher escalations
- Respond to incidents and write blameless RCA’s/postmortems
- Implement and practice proper security controls and processes
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on platform.
Must have:
- Minimum 3 Years of Experience in DevOps.
- BS degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
- Strong inter-personal skills.
- Must have experience in CI/CD tooling such as Jenkins, CircleCI, TravisCI
- Must have experience in Docker, Kubernetes, Amazon ECS or Mesos
- Experience in code development in at least one high-level programming language fromthis list: python, ruby, golang, groovy
- Proficient in shell scripting, and most importantly, know when to stop scripting and start developing.
- Experience in creation of highly automated infrastructures with any Configuration Management tools like: Terraform, Cloudformation or Ansible.
- In-depth knowledge of the Linux operating system and administration.
- Production experience with a major cloud provider such Amazon AWS.
- Knowledge of web server technologies such as Nginx or Apache.
- Knowledge of Redis, Memcache, or one of the many in-memory data stores.
- Experience with various load balancing technologies such as Amazon ALB/ELB, HA Proxy, F5.
- Comfortable with large-scale, highly-available distributed systems.
Good to have:
- Understanding of Web Standards (REST, SOAP APIs, OWASP, HTTP, TLS)
- Production experience with Hashicorp products such as Vault or Consul
- Expertise in designing, analyzing troubleshooting large-scale distributed systems.
- Experience in an PCI environment
- Experience with Big Data distributions from Cloudera, MapR, or Hortonworks
- Experience maintaining and scaling database applications
- Knowledge of fundamental systems engineering principles such as CAP Theorem, Concurrency Control, etc.
- Understanding of the network fundamentals: OSI, TCI/IP, topologies, etc.
- Understanding of Auditing of Infrastructure and help org. to control Infrastructure costs.
- Experience in Kafka, RabbitMQ or any messaging bus.









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