- Experience working in advanced iterative methodologies such as Agile and Safe.
- Experience with containers and orchestration (Docker, Kubernetes).
- Comfortable working in complex and demanding environments with high degree of change.
- Ability to view system perspective and to perform thorough investigations.
- Experience in frequent delivery to production.
- Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
- Experience with modern software components (Mongo, Elasticsearch, Kafka).
- Expertise in software development methodologies.
- Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
- Possession of a deep knowledge of development workflows with Git.
- Experience with MySQL or another relational database Environment.
- Automation testing (component, integration and end2end)

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Key Responsibilities
- Design, implement, and maintain CI/CD pipelines using Azure DevOps
- Manage cloud infrastructure on Microsoft Azure including VMs, App Services, AKS, Networking, and Storage
- Implement Infrastructure as Code (IaC) using Terraform, ARM Templates, or Bicep
- Build and manage containerized environments using Docker and Kubernetes
- Deploy and manage Azure Kubernetes Service (AKS) clusters
- Automate configuration management and deployments
- Implement monitoring and logging solutions using Azure Monitor, Log Analytics, and Application Insights
- Integrate security best practices (DevSecOps) within CI/CD pipelines
- Collaborate with development teams to improve build, release, and deployment processes
- Troubleshoot production issues and optimize system performance
- Ensure high availability, scalability, and disaster recovery strategies
Required Skills & Qualifications
- 7+ years of experience in DevOps, Cloud Engineering, or Infrastructure Automation
- Strong hands-on experience with Microsoft Azure
- Expertise in CI/CD implementation using Azure DevOps
- Experience with scripting languages such as PowerShell, Bash, or Python
- Proficiency in Infrastructure as Code (Terraform, ARM, Bicep)
- Experience with container orchestration (Kubernetes/AKS)
- Knowledge of Git-based version control systems
- Experience with configuration management tools
- Strong understanding of networking, security, and cloud architecture
- Experience working in Agile/Scrum environments
The Role
As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.
What Success Looks Like
- Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
- CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
- Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
- Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
- AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
- Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.
Areas of Ownership
- Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
- Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
- Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
- Deploy and manage applications using Helm charts; own packaging standards and release automation.
- Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
- Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
- Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
- Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.
Required Experience
- 5–8 years of DevOps, infrastructure, or platform engineering experience.
- Python proficiency for scripting, automation, and infrastructure tooling.
- Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
- Hands-on Helm experience for application packaging and release management.
- Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
- Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
- Terraform proficiency for infrastructure-as-code provisioning and state management.
- Strong Linux administration and containerization fundamentals (Docker, OCI).
What Makes You Stand Out
- CKA (Certified Kubernetes Administrator) certification.
- Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
- Experience with microservices architecture and distributed systems design.
- Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
- Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
- Track record of meaningfully improving developer productivity through platform and tooling investments.
What Makes This Role Different
Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.
(Candidates from Service based Companies apply-Looking for automation(shell or python scripting))
SHIFT- Shift time either US East coast or west coast (2:30 PM to 10:30 PM India time or 5 to 2 am india time)
Exp- 5 to 8 years
Salary- Upto 25 LPA
Hyderabad based candidates preferred!
Immediate joiners would be preferred!!
Role Objective:
- Ability to identify processes where efficiency could be improved via automation
- Ability to research, prototype, iterate and test automation solutions
- Good Technical understanding of Cloud service offering, with a sound appreciation of the associated business processes.
- Ability to build & maintain a strong working relationship with other Technical teams using the agile methodology (internal and external), Infrastructure Partners and Service Engagement Managers.
- Ability to shape and co-ordinate delivery of key initiatives to deliver improvements in stability
- Good understanding of the cost of the e2e service provision, and delivery of associated savings.
- Knowledge of web security principals
- Strong Linux experience – comfortable working from command line
- Some networking knowledge (routing, DNS)
- Knowledge of HA and DR concepts and experience implementing them
- Working with team to analyse and design infrastructure with 99.99% up-time.
Qualifications:
- Infrastructure automation through DevOps scripting (Eg Python, Ruby, PowerShell, Java, shell) or previous software development experience
- Experience in building and managing production cloud environments from the ground up.
- Hands-on, working experience with primary AWS services (EC2, VPC, RDS, Route53, S3)
- Knowledge on repository management (GitHub, SVN)
- Solid understanding of web application architecture and RDBMS (SQL Server preferred).
- Experience with IT compliance and risk management requirements is a bonus. (Eg Security, Privacy, HIPAA, SOX, etc)
- Strong logical, analytical and problem-solving skills with excellent communication skills.
- Should have degree in computer science, MIS, engineering or equivalent with 5+ years of experience.
- Should be willing to work in rotational shifts (including the nights)
Perks and benefits:
- Health & Wellness
- Paid time off
- Learning at work
- Fun at work
- Night shift allowance
- Comp off
- Pick and drop facility available to certain distance
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description:- Integrate gates into CI/CD pipeline and push all flaws/issues to developers IDE (as far left as possible) - ideally in code repo but required by the time code is in the artifact repository.
- Demonstrable experience in Containerization-Docker and orchestration (Kubernetes)
- Experience withsetting up self-managed Kubernetes clusters without using any managed cloud offerings like EKS
- Experience working withAWS - Managing AWS services - EC2, S3, Cloudfront, VPC, SNS, Lambda, AWS Autoscaling, AWS IAM, RDS, EBS, Kinesis, SQS, DynamoDB, Elastic Cache, Redshift, Cloudwatch, Amazon Inspector.
- Familiarity withLinux and UNIX systems (e.g. CentOS, RedHat) and command line system administration such as Bash, VIM, SSH.
- Hands on experience in configuration management of server farms (using tools such asPuppet, Chef, Ansible, etc.,).
- Demonstrated understanding of ITIL methodologies, ITIL v3 or v4 certification
- Kubernetes CKA or CKAD certification nice to have
Excellent communication skills
Open to work on EST time zone
Key Responsibilities
• As a part of the DevOps team, you will be responsible for the configuration, optimization, documentation, and support of the CI/CD components.
• Creating and managing build and release pipelines with Azure DevOps and Jenkins.
• Assist in planning and reviewing application architecture and design to promote an efficient deployment process.
• Troubleshoot server performance issues & handle the continuous integration system.
• Automate infrastructure provisioning using ARM Templates and Terraform.
• Monitor and Support deployment, Cloud-based and On-premises Infrastructure.
• Diagnose and develop root-cause solutions for failures and performance issues in the production environment.
• Deploy and manage Infrastructure for production applications
• Configure security best practices for application and infrastructure
Essential Requirements
• Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)
• Strong knowledge of CI/CD principles.
• Strong work experience with CI/CD implementation tools like Azure DevOps, Team City, Octopus Deploy, AWS Code Deploy, and Jenkins.
• Experience of writing automation scripts with PowerShell, Bash, Python, etc.
• GitHub, JIRA, Confluence, and Continuous Integration (CI) system.
• Understanding of secure DevOps practices
Good to Have -
•Knowledge of scripting languages such as PowerShell, Bash
• Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.
• Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)
• Strong communication skills and ability to explain protocol and processes with team and management.
• Must be able to handle multiple tasks and adapt to a constantly changing environment.
• Must have a good understanding of SDLC.
• Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.
• Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.
• Organized, flexible, and analytical ability to solve problems creatively
- 5+ years of experience in DevOps including automated system configuration, application deployment, and infrastructure-as-code.
- Advanced Linux system administration abilities.
- Real-world experience managing large-scale AWS or GCP environments. Multi-account management a plus.
- Experience with managing production environments on AWS or GCP.
- Solid understanding CI/CD pipelines using GitHub, CircleCI/Jenkins, JFrog Artifactory/Nexus.
- Experience on any configuration management tools like Ansible, Puppet or Chef is a must.
- Experience in any one of the scripting languages: Shell, Python, etc.
- Experience in containerization using Docker and orchestration using Kubernetes/EKS/GKE is a must.
- Solid understanding of SSL and DNS.
- Experience on deploying and running any open-source monitoring/graphing solution like Prometheus, Grafana, etc.
- Basic understanding of networking concepts.
- Always adhere to security best practices.
- Knowledge on Bigdata (Hadoop/Druid) systems administration will be a plus.
- Knowledge on managing and running DBs (MySQL/MariaDB/Postgres) will be an added advantage.
What you get to do
- Work with development teams to build and maintain cloud environments to specifications developed closely with multiple teams. Support and automate the deployment of applications into those environments
- Diagnose and resolve occurring, latent and systemic reliability issues across entire stack: hardware, software, application and network. Work closely with development teams to troubleshoot and resolve application and service issues
- Continuously improve Conviva SaaS services and infrastructure for availability, performance and security
- Implement security best practices – primarily patching of operating systems and applications
- Automate everything. Build proactive monitoring and alerting tools. Provide standards, documentation, and coaching to developers.
- Participate in 12x7 on-call rotations
- Work with third party service/support providers for installations, support related calls, problem resolutions etc.
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
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
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
JD for Devops
Experience: 5+ years
|
Job Description |
Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications |
- Automate deployments of infrastructure components and repetitive tasks.
- Drive changes strictly via the infrastructure-as-code methodology.
- Promote the use of source control for all changes including application and system-level changes.
- Design & Implement self-recovering systems after failure events.
- Participate in system sizing and capacity planning of various components.
- Create and maintain technical documents such as installation/upgrade MOPs.
- Coordinate & collaborate with internal teams to facilitate installation & upgrades of systems.
- Support 24x7 availability for corporate sites & tools.
- Participate in rotating on-call schedules.
- Actively involved in researching, evaluating & selecting new tools & technologies.
- Cloud computing – AWS, OCI, OpenStack
- Automation/Configuration management tools such as Terraform & Chef
- Atlassian tools administration (JIRA, Confluence, Bamboo, Bitbucket)
- Scripting languages - Ruby, Python, Bash
- Systems administration experience – Linux (Redhat), Mac, Windows
- SCM systems - Git
- Build tools - Maven, Gradle, Ant, Make
- Networking concepts - TCP/IP, Load balancing, Firewall
- High-Availability, Redundancy & Failover concepts
- SQL scripting & queries - DML, DDL, stored procedures
- Decisive and ability to work under pressure
- Prioritizing workload and multi-tasking ability
- Excellent written and verbal communication skills
- Database systems – Postgres, Oracle, or other RDBMS
- Mac automation tools - JAMF or other
- Atlassian Datacenter products
- Project management skills
Qualifications
- 3+ years of hands-on experience in the field or related area
- Requires MS or BS in Computer Science or equivalent field









