
- 5+ years hands-on experience with designing, deploying and managing core AWS services and infrastructure
- Proficiency in scripting using Bash, Python, Ruby, Groovy, or similar languages
- Experience in source control management, specifically with Git
- Hands-on experience in Unix/Linux and bash scripting
- Experience building, managing Helm-based build and release CI-CD pipelines for Kubernetes platforms (EKS, Openshift, GKE)
- Strong experience with orchestration and config management tools such as Terraform, Ansible or Cloudformation
- Ability to debug, analyze issues leveraging tools like App Dynamics, New Relic and Sumologic
- Knowledge of Agile Methodologies and principles
- Good writing and documentation skills
- Strong collaborator with the ability to work well with core teammates and our colleagues across STS

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About MyOperator
MyOperator is a Business AI Operator, a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.
Job Summary
We are looking for a skilled and motivated DevOps Engineer with 3+ years of hands-on experience in AWS cloud infrastructure, CI/CD automation, and Kubernetes-based deployments. The ideal candidate will have strong expertise in Infrastructure as Code, containerization, monitoring, and automation, and will play a key role in ensuring high availability, scalability, and security of production systems.
Key Responsibilities
- Design, deploy, manage, and maintain AWS cloud infrastructure, including EC2, RDS, OpenSearch, VPC, S3, ALB, API Gateway, Lambda, SNS, and SQS.
- Build, manage, and operate Kubernetes (EKS) clusters and containerized workloads.
- Containerize applications using Docker and manage deployments with Helm charts
- Develop and maintain CI/CD pipelines using Jenkins for automated build and deployment processes
- Provision and manage infrastructure using Terraform (Infrastructure as Code)
- Implement and manage monitoring, logging, and alerting solutions using Prometheus and Grafana
- Write and maintain Python scripts for automation, monitoring, and operational tasks
- Ensure high availability, scalability, performance, and cost optimization of cloud resources
- Implement and follow security best practices across AWS and Kubernetes environments
- Troubleshoot production issues, perform root cause analysis, and support incident resolution
- Collaborate closely with development and QA teams to streamline deployment and release processes
Required Skills & Qualifications
- 3+ years of hands-on experience as a DevOps Engineer or Cloud Engineer.
- Strong experience with AWS services, including:
- EC2, RDS, OpenSearch, VPC, S3
- Application Load Balancer (ALB), API Gateway, Lambda
- SNS and SQS.
- Hands-on experience with AWS EKS (Kubernetes)
- Strong knowledge of Docker and Helm charts
- Experience with Terraform for infrastructure provisioning and management
- Solid experience building and managing CI/CD pipelines using Jenkins
- Practical experience with Prometheus and Grafana for monitoring and alerting
- Proficiency in Python scripting for automation and operational tasks
- Good understanding of Linux systems, networking concepts, and cloud security
- Strong problem-solving and troubleshooting skills
Good to Have (Preferred Skills)
- Exposure to GitOps practices
- Experience managing multi-environment setups (Dev, QA, UAT, Production)
- Knowledge of cloud cost optimization techniques
- Understanding of Kubernetes security best practices
- Experience with log aggregation tools (e.g., ELK/OpenSearch stack)
Language Preference
- Fluency in English is mandatory.
- Fluency in Hindi is preferred.
About the Company
We are building an AI-driven platform focused on redefining how individuals explore and understand global markets. We are building a modern analytics layer that simplifies complex financial data into intuitive, structured insights.
Our approach combines data science, AI, and systematic frameworks to bring clarity, transparency, and accessibility to market intelligence.
- Mission: To build trustworthy, data-driven platforms that simplify complex markets and empower users to make informed decisions.
- Values: Customer-centricity, ownership, integrity, and continuous improvement.
- Culture: Collaborative, inclusive, experiment-driven, and supportive of professional growth.
- Why join: Opportunity to work on production SaaS and AI features, take high ownership, and make a visible impact on product direction.
About the Role
We are looking for a DevOps Engineer to manage deployments, cloud infrastructure, and system reliability while ensuring secure and scalable systems.
You will work on a live SaaS product and upcoming AI-driven modules, contributing directly to production systems.
Key Responsibilities
DevOps (Core):
- Set up and manage CI/CD pipelines (GitHub Actions preferred)
- Deploy and manage applications on AWS or similar cloud platforms
- Manage Linux-based servers and environments
- Ensure high availability, uptime, and performance
- Automate deployment workflows
Security (Integrated):
- Implement secure deployment practices
- Manage access control, secrets, and credentials
- Monitor logs and system activity
- Identify and fix basic vulnerabilities
- Support audit/log requirements (future compliance readiness)
Requirements
- 1–3 years of experience in DevOps / Cloud / System Administration
- Strong hands-on experience with Linux systems
- Experience with AWS or any cloud platform
- Experience with CI/CD tools (GitHub Actions preferred)
- Understanding of networking basics (DNS, HTTP/HTTPS, ports)
- Experience with Git & version control
Good to Have
- Docker / containerization
- Experience with Python-based deployments
- Basic knowledge of databases (PostgreSQL or similar)
- Monitoring/logging tools
- Basic understanding of security concepts (OWASP, API security)
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
Come Dive In
The DevOps Engineer will execute the tools and processes to enable DevOps.
Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement to efficiently deliver high-quality solutions. The candidate should bridge the gap between Development and Operational teams, working with the development teams to meet acceptance criteria and gather and document the requirements. Candidates should be able to work in fast-paced,
multi-disciplinary environments.
As An DevOps Engineer, You Will
● Work in a dynamic, agile team environment developing excellent new applications.
● Participate in design decisions, including new technology research and prototyping
● Collaborate closely with other AWS engineers and architects, cloud engineers, support teams, and other stakeholders
● Promote great Kubernetes and AWS platform design and quality
● Innovate new ideas to evolve our applications and processes
● Continuously analyzing and evaluating our systems, products, and methods for potential improvements.
Mandatory Skills:
● Experience on Linux based infrastructure
● Experience in ECS - Amazon services*
● Should have hands-on containerized Services
● Must know about AWS CI/CD pipeline.
● Must know DevOps concepts and Agile principles
● Knowledge of Git, Docker, and Jenkins
● Knowledge of Infrastructure as Code.
● Experience in using Automation Tools
● Must have experience in Test Driven Development environment setup.
● Working knowledge of Docker and Kubernetes
We recognize that asking you to give 100% of yourself daily requires us to show you the love.
PERKS: what can we offer you?
● Bi-Yearly performance audits and appraisals
● The flexibility of working days/hours
● 5 working days/week (Mon to Fri) and added payout for working Saturday
● Recognition and Appreciation
● A plethora of industry exposure and self-growth opportunities
Visit our site: www.cedcoss.com
" Skills : Strong experience in Ansible, Cloud, Linux, Python or Shell or Bash scripting
" Experience : 3 - 6 Years
" Location : Bangalore
Good to have cloud skills - Docker / Kubernetes
Scripting skills - Any of Shell / Perl/ bash/Python
Good to have Terraform
DevOps Engineer
The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.
Job Description
- Explore about the newest innovations in scalable and distributed systems.
- Helps in designing the architecture of the project, solutions to the existing problems and future improvements to be done.
- Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
- Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
- Playing around with large clusters on different clouds to tune your jobs or to learn.
- Researching about new technologies, proving the concepts and planning how to integrate or update.
- Be part of discussions of other projects to learn or to help.
Responsibilities
- 2+years of experience as DevOps Engineer.
- You understand actual networking to Software defined networking.
- You like containers and open source orchestration system like Kubernetes, Mesos.
- Should have experience to secure system by creating robust access policy and network restrictions enforcement.
- Should have knowledge about how applications work are very important to design distributed systems.
- Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
- You understand that provisioning a Virtual Machine is not DevOps.
- You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
- Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
- You check logs before screaming about error.
- Multiple Screens makes you more efficient.
- You are a doer who don’t say the word impossible.
- You understand the value of documentation of your work.
- You understand the Big Data ecosystem and how can you leverage cloud for it.
- You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs
JOB RESPONSIBILITIES:
- Responsible for design, implementation, and continuous improvement on automated CI/CD infrastructure
- Displays technical leadership and oversight of implementation and deployment planning, system integration, ongoing data validation processes, quality assurance, delivery, operations, and sustainability of technical solutions
- Responsible for designing topology to meet requirements for uptime, availability, scalability, robustness, fault tolerance & security
- Implement proactive measures for automated detection and resolution of recurring operational issues
- Lead operational support team manage incidents, document root cause and tracking preventive measures
- Identifying and deploying cybersecurity measures by continuously validating/fixing vulnerability assessment reports and risk management
- Responsible for the design and development of tools, installation procedures
- Develops and maintains accurate estimates, timelines, project plans, and status reports
- Organize and maintain packaging and deployment of various internal modules and third-party vendor libraries
- Responsible for the employment, timely performance evaluation, counselling, employee development, and discipline of assigned employees.
- Participates in calls and meetings with customers, vendors, and internal teams on regular basis.
- Perform infrastructure cost analysis and optimization
SKILLS & ABILITIES
Experience: Minimum of 10 years of experience with good technical knowledge regarding build, release, and systems engineering
Technical Skills:
- Experience with DevOps toolchains such as Docker, Rancher, Kubernetes, Bitbucket
- Experience with Apache, Nginx, Tomcat, Prometheus ,Grafana
- Ability to learn/use a wide variety of open-source technologies and tools
- Sound understanding of cloud technologies preferably AWS technologies
- Linux, Windows, Scripting, Configuration Management, Build and Release Engineering
- 6 years of experience in DevOps practices, with a good understanding of DevOps and Agile principles
- Good scripting skills (Python/Perl/Ruby/Bash)
- Experience with standard continuous integration tools Jenkins/Bitbucket Pipelines
- Work on software configuration management systems (Puppet/Chef/Salt/Ansible)
- Microsoft Office Suite (Word, Excel, PowerPoint, Visio, Outlook) and other business productivity tools
- Working knowledge on HSM and PKI (Good to have)
Location:
- Bangalore
Experience:
- 10 + Years.
Experience 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
About Us:
Varivas is a community that allows users to create, support, and recommend content. The mission of Varivas is to give community freedom, ease, and complete control of their content.
Varivas is an early-stage startup looking for its first few members.
https://www.varivas.community/
Become part of a core team of an upcoming startup building an exciting product from scratch.
Your Responsibilities:
- Write scalable backend code and audit existing backend code for sanity, performance and security
- Design and implementation of on-demand scalable, and performant applications.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Incidence management and root cause analysis
- Selecting and deploying appropriate CI/CD tools for various test automation frameworks
- Monitoring the processes during the entire lifecycle Encouraging and building automated processes wherever possible
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Achieve repeatability, fast recovery, best practices, and delegate proper ownership permissions to teams
- Analyzes the technology currently being used and develops plans and processes for improvement and expansion for better cost and efficiency
- Collaborate with and assist QA in performing load tests and assessing performance optimization
- writing and maintaining the DevOps processes in tools such as confluence
We are looking for someone who is:
- Ready to take complete ownership of the whole infra at Varivas
- Has previous experience in building and maintaining live production app
- You have an eye for detail.
- You’re a problem solver and a perpetual learner.
- You possess a positive and solution-oriented mindset.
- Good Problem-solving skills and troubleshooting
- Build high-performing web and native applications that are robust and easy to maintain
Our Current DevOps stack:
- Github/bitbucket
- Azure cloud storage
- MongoDB Atlas
- JIRA
- Selenium, cypress test automation
- Heroku/digital ocean
- GoDaddy
- Google Analytics/search console
- SendGrid
- sentry.io
- hotjar
What we can offer:
- Payment for work done (of course 🙂)
- Remote work from anywhere
- part time or full time engagement
- Complete flexibility of working hours
- Complete freedom and ownership of your work
- No meetings, standups, or daily status group calls. (We prefer asynchronous communication like slack)








