Job Description
Experience: 5 - 9 years
Location: Bangalore/Pune/Hyderabad
Work Mode: Hybrid(3 Days WFO)
Senior Cloud Infrastructure Engineer for Data Platform
The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.
Key Responsibilities:
Cloud Infrastructure Design & Management
Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.
Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.
Optimize cloud costs and ensure high availability and disaster recovery for critical systems
Databricks Platform Management
Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.
Automate cluster management, job scheduling, and monitoring within Databricks.
Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.
CI/CD Pipeline Development
Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.
Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.
Monitoring & Incident Management
Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.
Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.
Security & Compliance
Enforce security best practices, including identity and access management (IAM), encryption, and network security.
Ensure compliance with organizational and regulatory standards for data protection and cloud operations.
Collaboration & Documentation
Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.
Maintain comprehensive documentation for infrastructure, processes, and configurations.
Required Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Must Have Experience:
6+ years of experience in DevOps or Cloud Engineering roles.
Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.
Hands-on experience with Databricks for data engineering and analytics.
Technical Skills:
Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.
Strong scripting skills in Python, or Bash.
Experience with containerization and orchestration tools like Docker and Kubernetes.
Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).
Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.

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Job Requirements
Required Experience
5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment
management.
Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
Significant hands-on experience with at least two of the following tools: Gearset, Copado,
Flosum.
Solid understanding of Salesforce architecture, metadata, and development lifecycle.
Familiarity with version control systems (e.g., Git) and agile methodologies.
Key Responsibilities
Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset,
Copado, or Flosum.
Automate and optimize deployment processes to ensure efficient, reliable, and repeatable
releases across Salesforce environments.
Collaborate with development, QA, and operations teams to gather requirements and ensure
alignment of deployment strategies.
Monitor, troubleshoot, and resolve deployment and release issues.
Maintain documentation for deployment processes and provide training on best practices.
Stay updated on the latest Salesforce DevOps tools, features, and best practices.
Technical Skills
Skill Area Requirements
Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
CI/CDBuilding and maintaining pipelines, automation, and release management
Version ControlProficiency with Git and related workflows
Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
Scripting
Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
Communication
Strong written and verbal communication skills
Preferred Qualifications
Bachelor’s degree in Computer Science, Information Technology, or related field.
Certifications
Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.
Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.
Experience with Salesforce DX and deployment strategies for large-scale orgs.
Sr.DevOps Engineer (5 to 8 yrs. Exp.)
Location: Ahmedabad
- Strong Experience in Infrastructure provisioning in cloud using Terraform & AWS CloudFormation Templates.
- Strong Experience in Serverless Containerization technologies such as Kubernetes, Docker etc.
- Strong Experience in Jenkins & AWS Native CI/CD implementation using code
- Strong Experience in Cloud operational automation using Python, Shell script, AWS CLI, AWS Systems Manager, AWS Lamnda, etc.
- Day to Day AWS Cloud administration tasks
- Strong Experience in Configuration management using Ansible and PowerShell.
- Strong Experience in Linux and any scripting language must required.
- Knowledge of Monitoring tool will be added advantage.
- Understanding of DevOps practices which involves Continuous Integration, Delivery and Deployment.
- Hands on with application deployment process
Key Skills: AWS, terraform, Serverless, Jenkins,Devops,CI/CD,Python,CLI,Linux,Git,Kubernetes
Role: Software Developer
Industry Type: IT-Software, Software Services
FunctionalArea:ITSoftware- Application Programming, Maintenance
Employment Type: Full Time, Permanent
Education: Any computer graduate.
Salary: Best in Industry.Experience: 3+ years of experience in Cloud Architecture
About Company:
The company is a global leader in secure payments and trusted transactions. They are at the forefront of the digital revolution that is shaping new ways of paying, living, doing business and building relationships that pass on trust along the entire payments value chain, enabling sustainable economic growth. Their innovative solutions, rooted in a rock-solid technological base, are environmentally friendly, widely accessible and support social transformation.
Cloud Architect / Lead
- Role Overview
- Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.
- Key Knowledge
- 3-5+ years of experience in AWS/GCP or Azure technologies
- Is likely certified on one or more of the major cloud platforms
- Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
- Ability to guide and lead internal agile teams on cloud technology
- Background from the financial services industry or similar critical operational experience
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Excellent communication skills
Open to work on EST time zone(6pm to 3am)
Technical Skills:
· In depth understanding of DevSecOps process and governance
· Understanding of various branching strategies
· Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.)
· Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc)
· Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP)
· Proficient with Terraform
· Hands on experience working with Kubernetes
· Proficient working with GIT version control
· Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc)
· Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc)
· Hands on experience with GitOps
- Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
- Good experience on Build and release process and extensively involved in the CICD using
Jenkins
- Experienced on configuration management tools like Ansible.
- Designing, implementing and supporting fully automated Jenkins CI/CD
- Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
- Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
- Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
- Good knowledge in version control system in Git and GitHub.
- Good experience in build tools
- Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest
Hands on Experience with Linux administration
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
- 7+ years of experience in System Administration, Networking, Automation, Monitoring
- Excellent problem solving, analytical skills and technical troubleshooting skills
- Experience managing systems deployed in public cloud platforms (Microsoft Azure, AWS or Google Cloud)
- Experience implementing and maintaining CI/CD pipelines (Jenkins, Concourse, etc.)
- Linux experience, flavours: Ubuntu, Redhat, CentOS (sysadmin, bash scripting)
- Experience setting up monitoring (Datadog, Splunk, etc.)
- Experience in Infrastructure Automation tools like Terraform
- Experience in Package Manager for Kubernetes like Helm Charts
- Experience with databases and data storage (Oracle, MongoDB, Postgres SQL, ELK stack)
- Experience with Docker
- Experience with orchestration technologies (Kubernetes or DC/OS)
- Familiar with Agile Software Development
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.
Position Level: Senior Engineer
Company Overview:
AskSid.ai is a 4 years old start-up based in Bangalore, is fast growing and cofounded by
two ex-Mindtree employees each with 20+ years of experience. We were rated the No1
emerging SaaS company in India and won the NASSCOM EMERGE 50- League of 10
awards in 2019. Also got rated as the most innovative AI company in India for 2020 by
CII and Accenture Ventures. As a growing company, we are looking for passionate
engineers who aspire to build world class technology products of internet scale.
Job purpose:
Setup, optimize, and maintain Kubernetes clusters on Microsoft Azure Cloud.
Responsibilities
● Setup, maintain, optimize, and secure various Kubernetes clusters on MS Azure
Cloud
● Setup and maintain containers, container availability, auto-scalability, storage
management, DNS, Proxy setup and maintain firewall, app gateway, and load
balancers on MS Azure Cloud.
● Build and manage backup, restore, and DR activities
Knowledge and skills
Education and Experience
- Engineering in computer science
- 3-5 years of experience in setup and management of Kubernetes infrastructure
- Expert level skills in analytical & problem solving
- Ability to communicate clearly in English
- Microsoft Azure
- Kubernetes, AKS services as well as custom clusters on bare metal infrastructure
- Linux internals & services
- Docker, Docker Registry
- NGINX, Load Balancing, Firewall, Security, PKI
- Shell & Awk Script, Azure Templates & scripting, Python Scripting
- Knowledge of NoSQL Databases
• At least 4 years of hands-on experience with cloud infrastructure on GCP
• Hands-on-Experience on Kubernetes is a mandate
• Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
• Knowledge and hand-on-experience in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
• Knowledge and hand-on-experience on the various platforms (e.g. Gitlab, CircleCl and Spinnakar)
• Familiarity with monitoring and alerting tools (e.g. CloudWatch, ELK stack, Prometheus)
• Proven ability to work independently or as an integral member of a team
Preferable Skills:
• Familiarity with standard IT security practices such as encryption,
credentials and key management.
• Proven experience on various coding languages (Java, Python-) to
• support DevOps operation and cloud transformation
• Familiarity and knowledge of the web standards (e.g. REST APIs, web security mechanisms)
• Hands on experience with GCP
• Experience in performance tuning, services outage management and troubleshooting.
Attributes:
• Good verbal and written communication skills
• Exceptional leadership, time management, and organizational skill Ability to operate independently and make decisions with little direct supervision








