
Job Title: Cloud Engineer - Azure DevOps
Job Location: Mumbai (Andheri East)
About the company:
MIRACLE HUB CLIENT, is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise
Skill-sets Required:
- Azure Architecture
- DevOps Expert
- Infrastructure as a code
- Automate CICD pipelines
- Security and Risk Compliance
- Validate Tech Design
Job Role:
- Create a well-informed cloud strategy and manage the adaption process and Azure based architecture
- Develop and organize automated cloud systems
- Work with other teams in continuous integration and continuous deployment pipeline in delivering solutions
- Work closely with IT security to monitor the company's cloud privacy
Desired Candidate Profile:
- Bachelor’s degree in computer science, computer engineering, or relevant field.
- A minimum of 3 years’ experience in a similar role.
- Strong knowledge of database structure systems and data mining.
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
- Excellent English communication and presentation skills, both verbal and written
- Charismatic, competitive and enthusiastic personality with negotiation skills
Compensation: 12-15 LPA with minimum 5 years of experience. ( OR AS PER LAST DRAWN )

About Miracle Hub
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About Us:
At Vahan, we are building the first AI powered recruitment marketplace for India’s 300 million strong Blue Collar workforce, opening doors to economic opportunities and brighter futures.
Already India’s largest recruitment platform, Vahan is supported by marquee investors like Khosla Ventures, Y Combinator, Airtel, Vijay Shekhar Sharma (CEO, Paytm), and leading executives from Google and Facebook.
Our customers include names like Swiggy, Zomato, Rapido, Zepto, and many more. We leverage cutting-edge technology and AI to recruit for the workforces of some of the most recognized companies in the country.
Our vision is ambitious: to become the go-to platform for blue-collar professionals worldwide, empowering them with not just earning opportunities but also the tools, benefits, and support they need to thrive. We aim to impact over a billion lives worldwide, creating a future where everyone has access to economic prosperity.
If our vision excites you, Vahan might just be your next adventure. We’re on the hunt for driven individuals who love tackling big challenges. If this sounds like your kind of journey, dive into the details and see where you can make your mark.
What You Will Be Doing:
- Build & Automate Cloud Infrastructure – Design, deploy, and optimize cloud environments, ensuring scalability, reliability, and cost efficiency.
- Set Up CI/CD & Deployment Pipelines – Develop automated workflows to streamline code integration, testing, and deployment for faster releases.
- Monitor & Improve System Performance – Implement robust monitoring, logging, and alerting mechanisms to proactively identify and resolve issues.
- Manage Containers & Scalability – Deploy and maintain containerized applications, ensuring efficient resource utilization and high availability.
- Ensure Security & Reliability – Enforce access controls, backup strategies, and disaster recovery plans to safeguard infrastructure and data.
- Adapt & Scale with the Startup – Take on dynamic responsibilities, quickly learn new technologies, and evolve processes to meet growing business needs.
You Will Thrive in This Role If You:
Must Haves:
- Experience: 3+ years in DevOps or related roles, focusing on cloud environments, automation, CI/CD, and Linux system administration. Strong expertise in debugging and infrastructure performance improvements.
- Cloud Expertise: In-depth experience with one or more cloud platforms (AWS, GCP), including services like EC2, RDS, S3, VPC, etc.
- IaC Tools: Proficiency in Terraform, Ansible, CloudFormation, or similar tools.
- Scripting Skills: Strong scripting abilities in Python, Bash, or PowerShell.
- Containerization: Experience with Docker, including managing containers in production.
- Monitoring Tools: Hands-on experience with tools like ELK, Prometheus, Grafana, CloudWatch, New Relic, and Data dog.
- Version Control: Proficiency with Git and code repository management.
- Soft Skills: Excellent problem-solving skills, attention to detail, and effective communication with both technical and non-technical team members.
- Database Management: Experience with managing and tuning databases like MySQL and PostgreSQL.
- Deployment Pipelines: Experience with Jenkins and similar CI/CD tools.
- Message Queues: Experience with rabbitMQ/SQS/Kafka.
Nice to Have:
- Certifications: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or similar.
- SRE Practices: Familiarity with Site Reliability Engineering (SRE) principles, including error budgeting and service level objectives (SLOs).
- Serverless Computing: Knowledge of AWS Lambda, Azure Functions, or similar architectures.
- Containerization: Experience with Docker and Kubernetes, including managing production clusters.
- Security: Awareness of security best practices and implementations.
- Cloud Cost Optimization: Experience with cost-saving initiatives in cloud environments.
- Data Pipelines & ETL: Experience in setting up and managing data pipelines and ETL workflows.
- Familiarity with Modern Tech Stacks: Exposure to Python, Node.js, React.js, and Kotlin for app deployment CI/CD pipelines.
- MLOps Pipelines: Understanding of ML model deployment and operationalization.
- Data Retrieval & Snapshots: Experience with PITI, EC2, and RDS snapshots.
- System Resiliency & Recovery: Strategies for ensuring system reliability and recovery in case of downtime.
At Vahan, you’ll have the opportunity to make a real impact in a sector that touches millions of lives. We’re committed to not only advancing the livelihoods of our workforce but also, in taking care of the people who make this mission possible. Here’s what we offer:
- Unlimited PTO: Trust and flexibility to manage your time in the way that works best for you.
- Comprehensive Medical Insurance: We’ve got you covered with plans designed to support you and your loved ones.
- Monthly Wellness Leaves: Regular time off to recharge and focus on what matters most.
- Competitive Pay: Your contributions are recognized and rewarded with a compensation package that reflects your impact.
Join us, and be part of something bigger—where your work drives real,
positive change in the world.
About the Company:
Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As an well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Why Gruve:
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Position summary:
We are seeking a Staff Engineer – DevOps with 8-12 years of experience in designing, implementing, and optimizing CI/CD pipelines, cloud infrastructure, and automation frameworks. The ideal candidate will have expertise in Kubernetes, Terraform, CI/CD, Security, Observability, and Cloud Platforms (AWS, Azure, GCP). You will play a key role in scaling and securing our infrastructure, improving developer productivity, and ensuring high availability and performance.
Key Roles & Responsibilities:
- Design, implement, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, ArgoCD, and Tekton.
- Deploy and manage Kubernetes clusters (EKS, AKS, GKE) and containerized workloads.
- Automate infrastructure provisioning using Terraform, Ansible, Pulumi, or CloudFormation.
- Implement observability and monitoring solutions using Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
- Ensure security best practices in DevOps, including IAM, secrets management, container security, and vulnerability scanning.
- Optimize cloud infrastructure (AWS, Azure, GCP) for performance, cost efficiency, and scalability.
- Develop and manage GitOps workflows and infrastructure-as-code (IaC) automation.
- Implement zero-downtime deployment strategies, including blue-green deployments, canary releases, and feature flags.
- Work closely with development teams to optimize build pipelines, reduce deployment time, and improve system reliability.
Basic Qualifications:
- A bachelor’s or master’s degree in computer science, electronics engineering or a related field
- 8-12 years of experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Automation.
- Strong expertise in CI/CD pipelines, version control (Git), and release automation.
- Hands-on experience with Kubernetes (EKS, AKS, GKE) and container orchestration.
- Proficiency in Terraform, Ansible for infrastructure automation.
- Experience with AWS, Azure, or GCP services (EC2, S3, IAM, VPC, Lambda, API Gateway, etc.).
- Expertise in monitoring/logging tools such as Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
- Strong scripting and automation skills in Python, Bash, or Go.
Preferred Qualifications
- Experience in FinOps Cloud Cost Optimization) and Kubernetes cluster scaling.
- Exposure to serverless architectures and event-driven workflows.
- Contributions to open-source DevOps projects.
· Strong knowledge on Windows and Linux
· Experience working in Version Control Systems like git
· Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.
· Basic understanding of SQL commands
· Experience working on Azure Cloud DevOps
We are hiring for a Lead DevOps Engineer in Cloud domain with hands on experience in Azure / GCP.
- Expertise in managing Cloud / VMWare resources and good exposure on Dockers/Kubernetes
- Working knowledge of operating systems( Unix, Linux, IBM AIX)
- Experience in installation, configuration and managing apache webserver, Tomcat/Jboss
- Good understanding of JVM, troubleshooting and performance tuning through thread dump and log analysis
-Strong expertise in Dev Ops tools:
- Deployment (Chef/Puppet/Ansible /Nebula/Nolio)
- SCM (TFS, GIT, ClearCase)
- Build tools (Ant,Maven, Make, Gradle)
- Artifact repositories (Nexes, JFrog ArtiFactory)
- CI tools (Jenkins, TeamCity),
- Experienced in scripting languages: Python, Ant, Bash and Shell
What will be required of you?
- Responsible for implementation and support of application/web server infrastructure for complex business applications
- Server configuration management, release management, deployments, automation & troubleshooting
- Set-up and configure Development, Staging, UAT and Production server environment for projects and install/configure all dependencies using the industry best practices
- Manage Code Repositories
- Manage, Document, Control and Innovate Development and Release procedure.
- Configure automated deployment on multiple environment
- Hands-on working experience of Azure or GCP.
- Knowledge Transfer the implementation to support team and until such time support any production issues
JOB DETAILS
What You'll Do
About Us
We have grown over 1400% in revenues in the last year.
Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell.
Our IVA is transforming financial institutions’ call centers from a cost to a revenue center.
Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1.
We are 45 people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft, and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs, and many who have been previously part of early-stage startups.
We are a fully remote team.
Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues.
As a Site Reliability Engineer you will be in charge of:
- Designing, analyzing and troubleshooting large-scale distributed systems
- Engaging in cross-functional team discussions on design, deployment, operation, and maintenance, in a fast-moving, collaborative set up
- Building automation scripts to validate the stability, scalability, and reliability of interface.ai’s products & services as well as enhance interface.ai’s employees’ productivity
- Debugging and optimizing code and automating routine tasks
- Troubleshoot and diagnose issues (hardware or software), propose and implement solutions to ensure they occur with reduced frequency
- Perform the periodic on-call duty to handle security, availability, and reliability of interface.ai’s products
- You will follow and write good code and solid engineering practices
Requirements
You can be a great fit if you are :
- Extremely self motivated
- Ability to learn quickly
- Growth Mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322" target="_blank">link)
- Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766" target="_blank">link)
- Passionate about the possibilities at the intersection of AI + Banking
- Worked in a startup of 5 to 30 employees
- Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation.
- 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
- Have a solid understanding of system availability, latency, and performance
- Strong programming skills in at least one major programming language and the ability to learn new languages as needed
- Strong System/network debugging skills
- Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
- Experience with setting up production-level monitoring and telemetry
- Expertise in Container management & AWS
- Experience with kubernetes is a plus
- Experience building CI/CD pipelines
- Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
- Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
- Ability to effectively articulate technical challenges and solutions.
- Proactive outlook for ways to make our systems more reliable

- Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
- Ensure limited system failure and increase up-time and availability of the various company apps.
- Understand the current application infrastructure and strive for making it better.
- Automate infrastructure and develop tools and processes to improve the customer experience and reduce support time.
- Work closely with a team of developers and solution strategists to develop, deploy and troubleshoot the deployment and infrastructure issues.
- Manage full application stacks from the OS through custom applications using Amazon cloud-based computing environments.
- Set up a monitoring stack.
- Implement the application’s CI/CD pipeline using the AWS stack. Increasingly automate and improve the testing plans and development workflows and tools.
- Work closely with the engineers to design networks, systems, and storage environments that effectively reflect business needs, security requirements, and service level requirements.
- Manage a continuous integration/continuous deployment methodology for the server-based technologies.
- Proficient in leveraging CI and CD tools to automate testing and deployment. Experience working in an Agile, fast-paced, DevOps environment.
- Support internal and external customers on multiple platforms.
- First point of contact for handling customer issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
- Learn on the job and explore new technologies with little supervision.
- In addition to providing customer support, will be responsible for helping build tools and processes necessary for excellent customer outcomes.
Skills:
- Experience with the core AWS services, plus the specifics mentioned in this job description.
- Experience working with at least one of the following languages: Node.js, Python, PHP, Ruby, Kotlin or Java.
- Proficient with Git and Git workflows and hosted enterprise Git solutions like GitHub.
- Ability to troubleshoot distributed systems.
- Experience with. AWS EKS Kubernetes infrastructure setup.
- Experience creating Cloud Formation Template to create Auto Scaling Groups, Route 53, DNS, back-end database, Elastic load balancer, VPCs, Subnets, Security Groups, Cloud Watch, S3, IAM roles, RDS DB instances, and to provide those instances and configure those resources to work together reducing the manual effort.
- Experience in deploying and monitoring microservices on Kubernetes, AWS ECS, and AWS EKS
- Security aware and ensures that all systems are security standards-compliant.
- Good background in Linux/Unix administration.
- Experience with building or maintaining cloud-native applications.
- Minimum 3-5 years of cloud development experience, preferably AWS
- Experience with CI/CD tools like Jenkins preferred.
- Good analytical and communication skills
- Bachelor’s Degree in Computer Science, Engineering or a related technical discipline
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
● Develop and deliver automation software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms
● Champion and drive the adoption of Infrastructure as Code (IaC) practices and mindset
● Design, architect, and build self-service, self-healing, synthetic monitoring and alerting platform and tools
● Automate the development and test automation processes through CI/CD pipeline (Git, Jenkins, SonarQube, Artifactory, Docker containers)
● Build container hosting-platform using Kubernetes
● Introduce new cloud technologies, tools & processes to keep innovating in commerce area to drive greater business value.
Skills Required:
● Excellent written and verbal communication skills and a good listener.
● Proficiency in deploying and maintaining Cloud based infrastructure services (AWS, GCP, Azure – good hands-on experience in at least one of them)
● Well versed with service-oriented architecture, cloud-based web services architecture, design patterns and frameworks.
● Good knowledge of cloud related services like compute, storage, network, messaging (Eg SNS, SQS) and automation (Eg. CFT/Terraform).
● Experience with relational SQL and NoSQL databases, including Postgres and
Cassandra.
● Experience in systems management/automation tools (Puppet/Chef/Ansible, Terraform)
● Strong Linux System Admin Experience with excellent troubleshooting and problem solving skills
● Hands-on experience with languages (Bash/Python/Core Java/Scala)
● Experience with CI/CD pipeline (Jenkins, Git, Maven etc)
● Experience integrating solutions in a multi-region environment
● Self-motivate, learn quickly and deliver results with minimal supervision
● Experience with Agile/Scrum/DevOps software development methodologies.
Nice to Have:
● Experience in setting-up Elastic Logstash Kibana (ELK) stack.
● Having worked with large scale data.
● Experience with Monitoring tools such as Splunk, Nagios, Grafana, DataDog etc.
● Previously experience on working with distributed architectures like Hadoop, Mapreduce etc.


