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About the job
👉 TL; DR: We at Sarva Labs Inc., are looking for Site Reliability Engineers with experience to join our team. As a Protocol Developer, you will handle assets in data centers across Asia, Europe and Americas for the World’s First Context-Aware Peer-to-Peer Network enabling Web4.0. We are looking for that person who will take over the ownership of DevOps, establish proper deployment processes and work with engineering teams and hustle through the Main Net launch.
About Us 🚀
Imagine if each user had their own chain with each transaction being settled by a dynamic group of nodes who come together and settle that interaction with near immediate finality without a volatile gas cost. That’s MOI for you, Anon.
Visit https://www.sarva.ai/ to know more about who we are as a company
Visit https://www.moi.technology/ to know more about the technology and team!
Visit https://www.moi-id.life/ , https://www.moibit.io/ , https://www.moiverse.io/ to know more
Read our developer documentation at https://apidocs.moinet.io/
What you'll do 🛠
- You will take over the ownership of DevOps, establish proper deployment processes and work with engineering teams to ensure an appropriate degree of automation for component assembly, deployment, and rollback strategies in medium to large scale environments
- Monitor components to proactively prevent system component failure, and enable the engineering team on system characteristics that require improvement
- You will ensure the uninterrupted operation of components through proactive resource management and activities such as security/OS/Storage/application upgrades
You'd fit in 💯 if you...
- Familiar with any of these providers: AWS, GCP, DO, Azure, RedSwitches, Contabo, Redswitches, Hetzner, Server4you, Velia, Psychz, Tier and so on
- Experience in virtualizing bare metals using Openstack / VMWare / Similar is a PLUS
- Seasoned in building and managing VMs, Containers and clusters across the continents
- Confident in making best use of Docker, Kubernetes with stateful set deployment, autoscaling, rolling update, UI dashboard, replications, persistent volume, ingress
- Must have experience deploying in multi-cloud environments
- Working knowledge on automation tools such as Terraform, Travis, Packer, Chef, etc.
- Working knowledge on Scalability in a distributed and decentralised environment
- Familiar with Apache, Rancher, Nginx, SELinux/Ubuntu 18.04 LTS/CentOS 7 and RHEL
- Monitoring tools like PM2, Grafana and so on
- Hands-on with ELK stack/similar for log analytics
🌱 Join Us
- Flexible work timings
- We’ll set you up with your workspace. Work out of our Villa which has a lake view!
- Competitive salary/stipend
- Generous equity options (for full-time employees)

About Sarva Labs Inc
About
We at Sarvalabs bring personalization to open networks through full user ownership and complete control of all dimensions of their digital interactions. Sarvalabs is developing The World's First Protocol to bring personalization to Open Networks and enable an Internet for Value Transfer. MOI - MY OWN INTERNET.
MOI enables complete user ownership and control, empowers the New Internet of Value, introduces a new personalised multidimensional value structure for participants measured using TDU (Total Digital Utility), and Integrates context as a foundational computational dimension of p2p networks.
Connect with the team
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Location: Bengaluru, India (Hybrid)
Employment Type: Full-time
Experience:9-11 years
Job description
REQUIREMENTS:
- Strong experience in DevOps, Platform Engineering, and Infrastructure Automation
- Deep hands-on expertise in Linux Administration (RHEL, CentOS, Ubuntu) – OS hardening, security, patching, and performance management (Must Have)
- Strong experience with Cloud Technologies – Public & Private Cloud environments (Must Have)
- Hands-on experience with Infrastructure as Code (IaC) using Terraform (Must Have)
- Strong automation expertise using Ansible for configuration management and infrastructure provisioning (Must Have)
- Experience building and managing CI/CD pipelines and end-to-end deployment automation
- Strong experience with Kubernetes administration, orchestration, and cluster management (Must Have)
- Hands-on experience with Docker containerization and Helm package management
- Experience managing large-scale development and infrastructure environments
- Strong understanding of Networking concepts, connectivity, design, troubleshooting, and network automation
- Experience with Observability & Monitoring tools and best practices
- Experience with Proxmox virtualization platform administration and management
- Knowledge of Edge Technologies and distributed infrastructure environments
- Basic understanding and administration of Active Directory (AD)
- Experience implementing AI-driven Automation solutions and operational efficiencies
- Strong understanding of infrastructure security, compliance, and governance
- Experience working in Agile/Scrum environments
- Strong troubleshooting, analytical, and problem-solving skills
- Excellent communication and stakeholder management skills
RESPONSIBILITIES:
- Design, build, and manage scalable infrastructure platforms across cloud and on-premise environments
- Administer and maintain Linux servers including security hardening, patching, performance tuning, and troubleshooting
- Develop and manage Infrastructure as Code (IaC) solutions using Terraform
- Automate infrastructure provisioning, configuration management, and operational tasks using Ansible
- Design, implement, and maintain CI/CD pipelines for application and infrastructure deployments
- Deploy, manage, and optimize Kubernetes clusters and containerized workloads
- Manage Docker environments and Helm-based application deployments
- Design and implement network solutions ensuring security, reliability, and scalability
- Monitor infrastructure health, performance, and availability using observability and monitoring tools
- Manage and support Proxmox virtualization environments
- Implement AI-driven automation initiatives to improve operational efficiency and reduce manual effort
- Support edge infrastructure deployments and distributed computing environments
- Collaborate with development, security, and operations teams to deliver reliable platform services
- Troubleshoot production incidents and perform root cause analysis
- Define infrastructure standards, automation frameworks, and operational best practices
- Ensure high availability, scalability, security, and reliability of infrastructure platforms
- Mentor junior engineers and provide technical leadership on DevOps and platform engineering initiatives
- Participate in Agile ceremonies and contribute to continuous improvement initiatives
- Work closely with stakeholders to understand infrastructure requirements and deliver optimal solutions
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related fields
REVIEW CRITERIA:
MANDATORY:
- Strong Hands-On AWS Cloud Engineering / DevOps Profile
- Mandatory (Experience 1): Must have 12+ years of experience in AWS Cloud Engineering / Cloud Operations / Application Support
- Mandatory (Experience 2): Must have strong hands-on experience supporting AWS production environments (EC2, VPC, IAM, S3, ALB, CloudWatch)
- Mandatory (Infrastructure as a code): Must have hands-on Infrastructure as Code experience using Terraform in production environments
- Mandatory (AWS Networking): Strong understanding of AWS networking and connectivity (VPC design, routing, NAT, load balancers, hybrid connectivity basics)
- Mandatory (Cost Optimization): Exposure to cost optimization and usage tracking in AWS environments
- Mandatory (Core Skills): Experience handling monitoring, alerts, incident management, and root cause analysis
- Mandatory (Soft Skills): Strong communication skills and stakeholder coordination skills
ROLE & RESPONSIBILITIES:
We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.
KEY RESPONSIBILITIES:
- Operate and support AWS production environments across multiple accounts
- Manage infrastructure using Terraform and support CI/CD pipelines
- Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
- Build and manage Docker images and push to Amazon ECR
- Monitor systems using CloudWatch and third-party tools; respond to incidents
- Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
- Assist with cost optimization, tagging, and governance standards
- Automate operational tasks using Python, Lambda, and Systems Manager
IDEAL CANDIDATE:
- Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
- Experience with Terraform and Git-based workflows
- Hands-on experience with Kubernetes / EKS
- Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
- Scripting experience in Python or Bash
- Understanding of monitoring, incident management, and cloud security basics
NICE TO HAVE:
- AWS Associate-level certifications
- Experience with Karpenter, Prometheus, New Relic
- Exposure to FinOps and cost optimization practices
Job role: Systems Engineer (L2)
Location: Remote/Bengaluru
Experience: 3-6 years
About the Role:
We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.
Key Responsibilities:
— Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.
— Manage and optimize networking components — routers, switches, firewalls, load balancers.
— Handle incident response — monitor systems, identify issues, resolve production problems.
— Implement DevOps best practices — CI/CD pipelines, automation, containerization.
— Collaborate with backend and product teams on system architecture.
— Performance tuning — ensure high availability and reliability of platform.
— Security management — implement security protocols and compliance standards.
Required Skills:
Technical:
- Linux/Unix administration — strong fundamentals
- Networking — TCP/IP, DNS, BGP, VoIP protocols
- Cloud platforms — AWS/GCP/Azure — minimum 2 years
- DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
- Monitoring tools — Grafana, Prometheus, Kibana, Datadog
- Scripting — Python, Bash, Shell
- Databases — MySQL, PostgreSQL, Redis
Soft skills:
- Strong problem-solving under pressure
- Good communication — English written and verbal
- Team player — collaborative mindset
Good to Have:
- Experience in telecom/CPaaS/cloud communications industry
- Knowledge of VoIP, SIP, RTP protocols
- AI/ML operations experience
- CCNA/AWS certifications
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
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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
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
We are front runners of the technological revolution with an inexhaustible passion for technology! DevOn is the technical organization that originated from Prowareness. We are the company at the forefront of leading DevOps transformations and setting up High Performance Distributed DevOps teams with leading companies worldwide. DevOn helps market leaders to take the next step in software delivery. We consist of a dynamic team, in which personal growth is central!
About You
You have 6+ years of experience in AWS infra Automation. This is a fantastic opportunity to work in a fast-paced operations environment and to develop your career in Cloud technologies, particularly Amazon Web Services.
You are building and monitoring CI/CD pipeline in AWS cloud. This is a highly scalable backend application building on Java platform. We need a resource who can troubleshoot, diagnose and rectify system service issues.
You’re cloud native with Terraform as an orchestration. You would use Terraform as a key Orchestration in Infrastructure as Code.
You're comfortable driving. You prefer to own your work streams and enjoy working in autonomy to progress towards your goals.
You provide an incredible support to the team. You sweat the small stuff but keep the big picture in mind. You know that a pair programming can give better result
An ideal candidate is/are:
This is a key role within our DevOps team and will involve working as part of a collaborative agile team in a shared services DevOps organization to support and deliver innovative technology solutions that directly align with the delivery of business value and enhanced customer experience. The primary objective is to provide support to Amazon Web Services hosted environment, ensure continuous availability, working closely with development teams to ensure best value for money, and effective estate management.
- Setup CI/CD Pipeline from scratch along with integration of appropriate quality gates.
- Expertise level knowledge in AWS cloud. Provision and configure infrastructure as code using Terraform
- Build and configure Kubernetes-based infrastructure, networking policies, LBs, and cluster security. Define autoscaling and cost strategies.
- Automate the build of containerized systems with CI/CD tooling, Helm charts, and more
- Manage deployments and rollbacks of applications
- Implement monitoring and metrics with Cloud watch, Newrelic
- Troubleshoot and optimize containerized workload deployments for clients
- Automate operational tasks, and assist in the transition to service ownership models.
We are looking for a Sr. Engineer DevOps and SysOps, who is responsible for managing AWS and Azure cloud computing. Your primary focus would be to help multiple projects with various cloud service implementation, create and manage CI/CD pipelines for deployment, explore new services on cloud and help projects to implement them.
Technical Requirements & Responsibilities
- Have 4+ years’ experience as a DevOps and SysOps Engineer.
- Apply cloud computing skills to deploy upgrades and fixes on AWS and Azure (GCP is optional / Good to have).
- Design, develop, and implement software integrations based on user feedback.
- Troubleshoot production issues and coordinate with the development team to streamline code deployment.
- Implement automation tools and frameworks (CI/CD pipelines).
- Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of projects.
- Collaborate with team members to improve the company’s engineering tools, systems and procedures, and data security.
- Optimize the company’s computing architecture.
- Conduct systems tests for security, performance, and availability.
- Develop and maintain design and troubleshooting documentation.
- Expert in code deployment tools (Puppet, Ansible, and Chef).
- Can maintain Java / PHP / Ruby on Rail / DotNet web applications.
- Experience in network, server, and application-status monitoring.
- Possess a strong command of software-automation production systems (Jenkins and Selenium).
- Expertise in software development methodologies.
- You have working knowledge of known DevOps tools like Git and GitHub.
- Possess a problem-solving attitude.
- Can work independently and as part of a team.
Soft Skills Requirements
- Strong communication skills
- Agility and quick learner
- Attention to detail
- Organizational skills
- Understanding of the Software development life cycle
- Good Analytical and problem-solving skills
- Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities
- Should have a high level of energy working as an individual contributor and as a part of team.
- Good command over verbal and written English communication

Must Have Skills
- AWS Solutions Architect and/or DevOps certification, Professional preferred
- BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
- Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
- Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
- DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
- DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
- Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
- Scripting in Shell (bash) and Extensive Python
- Agile software development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Linux (RHEL) administration/engineering
Experience:
- Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
- Working as both an infrastructure and application migration specialist
- Identifying and documenting application requirements for network, F5, IAM, and security groups
- Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment
- Work with Technology leadership to understand business goals and requirements
- Experience with continuous integration tools
- Experience with configuration management platforms
- Writing and diagnosing issues with complex shell scripts
- Strong practical application development experience on Linux and Windows-based systems
• Develop and maintain CI/CD tools to build and deploy scalable web and responsive applications in production environment
• Design and implement monitoring solutions that identify both system bottlenecks and production issues
• Design and implement workflows for continuous integration, including provisioning, deployment, testing, and version control of the software.
• Develop self-service solutions for the engineering team in order to deliver sites/software with great speed and quality
o Automating Infra creation
o Provide easy to use solutions to engineering team
• Conduct research, tests, and implements new metrics collection systems that can be reused and applied as engineering best practices
o Update our processes and design new processes as needed.
o Establish DevOps Engineer team best practices.
o Stay current with industry trends and source new ways for our business to improve.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Manage timely resolution of all critical and/or complex problems
• Maintain, monitor, and establish best practices for containerized environments.
• Mentor new DevOps engineers
What you will bring
• The desire to work in fast-paced environment.
• 5+ years’ experience building, maintaining, and deploying production infrastructures in AWS or other cloud providers
• Containerization experience with applications deployed on Docker and Kubernetes
• Understanding of NoSQL and Relational Database with respect to deployment and horizontal scalability
• Demonstrated knowledge of Distributed and Scalable systems Experience with maintaining and deployment of critical infrastructure components through Infrastructure-as-Code and configuration management tooling across multiple environments (Ansible, Terraform etc)
• Strong knowledge of DevOps and CI/CD pipeline (GitHub, BitBucket, Artifactory etc)
• Strong understanding of cloud and infrastructure components (server, storage, network, data, and applications) to deliver end-to-end cloud Infrastructure architectures and designs and recommendations
o AWS services like S3, CloudFront, Kubernetes, RDS, Data Warehouses to come up with architecture/suggestions for new use cases.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
Good to have
• Experience with code quality tools, static or dynamic code analysis and compliance and undertaking and resolving issues identified from vulnerability and compliance scans of our infrastructure
• Good knowledge of REST/SOAP/JSON web service API implementation
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