
- Candidate should have good Platform experience on Azure with Terraform.
- The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests.
- Good to have experience on migrating data from (AWS) to Azure.
- To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
- VMs to be provisioned on Azure Cloud and managed.
- Good hands on experience of Networking on Cloud is required.
- Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
- Kubernetes, Storage, KeyValult, Networking(load balancing and routing) and VMs are the key infrastructure expertise which are essential.
- Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue-green/canary deployment models etc).
- The experience in AWS is desirable
- Python experience is optional however Power shell is mandatory
- Know-how on the use of GitHub

About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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● Good understanding of how the web works
● Experience with at least one language like Java, Python etc
● Good with Shell scripting
● Experience with *Nix based operating systems
● Experience with k8s, containers
● Fairly good understanding of AWS/GCP/Azure
● Troubleshoot and fix outages and performance issues in infrastructure stack
● Identify gap and design automation tools for all feasible functions in infrastructure
● Good verbal and written communication skills
● Drive SLA/SLO of team
Benefits
This is an opportunity to work on a fairly complex set of systems and improve
them. You will get a chance to learn things like “how to think about code
simplicity”, “how to write for maintainability” and several other things.
● Comprehensive health insurance policy.
● Flexible working hours and a very friendly work environment.
● Flexibility to work either in the office (post Covid) or remotely.
Experience - 2+ Years
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
Company Overview
Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge.
Position Overview
We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability.
Key Responsibilities
- Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices.
- Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency.
- Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users.
- Implement and manage CI/CD pipelines to automate software delivery and ensure code quality.
- Manage and configure cloud-based infrastructure services to optimize performance and cost.
- Collaborate with development teams to design and implement scalable, reliable, and secure applications.
- Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues.
- Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data.
- Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability.
- Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role
- Strong understanding of cloud computing principles and experience with AWS
- Experience of building and supporting complex CI/CD pipelines using Github
- Experience of building and supporting infrastructure as a code using Terraform
- Proficiency in scripting and automating tools
- Solid understanding of networking concepts and protocols
- Understanding of security best practices and experience implementing security controls in cloud environments
- Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage.
Key Responsibilities:
- Develop and Maintain CI/CD Pipelines: Design, implement, and manage CI/CD pipelines using GitOps practices.
- Kubernetes Management: Deploy, manage, and troubleshoot Kubernetes clusters to ensure high availability and scalability of applications.
- Cloud Infrastructure: Design, deploy, and manage cloud infrastructure on AWS, utilizing services such as EC2, S3, RDS, Lambda, and others.
- Infrastructure as Code: Implement and manage infrastructure using IaC tools like Terraform, CloudFormation, or similar.
- Monitoring and Logging: Set up and manage monitoring, logging, and alerting systems to ensure the health and performance of the infrastructure.
- Automation: Identify and automate repetitive tasks to improve efficiency and reliability.
- Security: Implement security best practices and ensure compliance with industry standards.
- Collaboration: Work closely with development, QA, and operations teams to ensure seamless integration and delivery of products.
Required Skills and Qualifications:
- Experience: 2-5 years of experience in a DevOps role.
- AWS: In-depth knowledge of AWS services and solutions.
- CI/CD Tools: Experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar.
- GitOps Expertise: Proficient in GitOps methodologies and tools.
- Kubernetes: Strong hands-on experience with Kubernetes and container orchestration.
- Scripting and Automation: Proficient in scripting languages such as Bash, Python, or similar.
- Infrastructure as Code (IaC): Hands-on experience with IaC tools like Terraform, CloudFormation, or similar.
- Monitoring Tools: Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or similar.
- Version Control: Strong understanding of version control systems, primarily Git.
- Problem-Solving: Excellent problem-solving and debugging skills.
- Collaboration: Ability to work in a fast-paced, collaborative environment.
- Education: Bachelor’s or master’s degree in computer science or a related field.
Please find the JD below:
- Candidate should have good Platform experience on Azure with Terraform.
- The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests.
- Good to have experience on migrating data from (AWS) to Azure.
- To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
- VMs to be provisioned on Azure Cloud and managed.
- Good hands-on experience of Networking on Cloud is required.
- Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
- Kubernetes, Storage, KeyValult, Networking (load balancing and routing) and VMs are the key infrastructure expertise which are essential.
- Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue green/canary deployment models etc).
- The experience in AWS is desirable.
- Python experience is optional however Power shell is mandatory.
- Know-how on the use of GitHub
- Administration of Azure Kubernetes services
What you will do:
- Handling Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups and monitoring
- Logging, metrics and alerting management
- Creating Docker files
- Performing root cause analysis for production errors
What you need to have:
- 12+ years of experience in Software Development/ QA/ Software Deployment with 5+ years of experience in managing high performing teams
- Proficiency in VMware, AWS & cloud applications development, deployment
- Good knowledge in Java, Node.js
- Experience working with RESTful APIs, JSON etc
- Experience with Unit/ Functional automation is a plus
- Experience with MySQL, Mango DB, Redis, Rabbit MQ
- Proficiency in Jenkins. Ansible, Terraform/Chef/Ant
- Proficiency in Linux based Operating Systems
- Proficiency of Cloud Infrastructure like Dockers, Kubernetes
- Strong problem solving and analytical skills
- Good written and oral communication skills
- Sound understanding in areas of Computer Science such as algorithms, data structures, object oriented design, databases
- Proficiency in monitoring and observability
- Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
- Administer a hybrid datacenter, including AWS and EC2 cloud assets
- Administer, automate and troubleshoot container based solutions deployed on AWS ECS
- Be able to troubleshoot problems and provide feedback to engineering on issues
- Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
- Learn and administer technologies such as ELK, Hadoop etc.
- A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.
Need to have
- Hands-on Experience in Cloud based DevOps
- Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
- Experience with any programming language.
- Experience using Ansible, Docker, Jenkins, Kubernetes
- Experience in Python.
- Should be very comfortable working in Linux/Unix environment.
- Exposure to Shell Scripting.
- Solid troubleshooting skills
DevOps
Engineers : Min 3 to 5 Years
Tech Leads : Min 6 to 10 Years
- Implementing & supporting CI/CD/CT pipelines at scale.
- Knowledge and experience using Chef, Puppet or Ansible automation to deploy and be able to manage Linux systems in production and CI environments.
- Extensive experience with Shell scripts (bash).
- Knowledge and practical experience of Jenkins for CI.
- Experienced in build & release management.
- Experience of deploying JVM based applications.
- Enterprise AWS deployment with sound knowledge on AWS & AWS security.
- Knowledge of encryption technologies: IPSec, SSL, SSH.
- Minimum of 2 years of experience as a Linux Systems Engineer (CentOS/Red Hat) ideally supporting a highly-available, 24x7 production environments.
- DNS providing and maintenance.
- Helpful skills: Knowledge of applications relying on Maven, Ant, Gradle, Spring Boot.
- Knowledge of app and server monitoring tools such as ELK/AppEngine.
- Excellent written, oral communication and interpersonal skills.
- You have experience of 2-4 years in building high-performance consumer-facing mobile applications at Product companies of a decent scale.
- You can write code preferably in Golang and Python.
- You have experience with debugging production issues and writing RCAs.
- You have demonstrable stories of being on-call and how outages have been handled.
- You have experience developing products on Kubernetes and cloud providers like GCP and AWS.
- You have worked with Cloud Native (CNCF) technologies.
- You have experience automating CI/CD pipelines.
- You are an excellent collaborator & communicator. You know that start-ups are a team sport.
- You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
- You are excited by the prospect of working in a distributed team and company

2. Has done Infrastructure coding using Cloudformation/Terraform and Configuration also understands it very clearly
3. Deep understanding of the microservice design and aware of centralized Caching(Redis),centralized configuration(Consul/Zookeeper)
4. Hands-on experience of working on containers and its orchestration using Kubernetes
5. Hands-on experience of Linux and Windows Operating System
6. Worked on NoSQL Databases like Cassandra, Aerospike, Mongo or
Couchbase, Central Logging, monitoring and Caching using stacks like ELK(Elastic) on the cloud, Prometheus, etc.
7. Has good knowledge of Network Security, Security Architecture and Secured SDLC practices









