
We seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.
Responsibilities:
- Design, implement, and manage CI/CD pipelines using Azure DevOps.
- Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
- Monitor and optimize Azure environments to ensure high availability, performance, and security.
- Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
- Troubleshoot and resolve issues related to build, deployment, and infrastructure.
- Implement and manage version control systems, primarily using Git.
- Manage containerization and orchestration using tools like Docker and Kubernetes.
- Ensure compliance with industry standards and best practices for security, scalability, and reliability.

About QAgile Services
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At Qagile Services, we are dedicated to empowering businesses through cutting-edge IT solutions and unparalleled staffing services. Our mission is to bridge the gap between technology and talent, ensuring that your organization has the resources it needs to thrive in a rapidly evolving digital landscape.
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Strong Lead DevOps / Infrastructure Engineer Profiles.
Mandatory (Experience 1) – Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
Mandatory (Experience 2) – Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
Mandatory (Experience 3) – Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
Mandatory (Experience 4) – Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
Mandatory (Experience 5) – Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
Mandatory (Experience 6) – Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
Mandatory (Experience 7) – Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
Mandatory (Experience 8) – Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
Mandatory (Company) – Candidates must be from Good / Well Funded / Early Stage Product-based companies.
Mandatory (Education) –B.E/ B.Tech
ROLES AND RESPONSIBILITIES:
- Plan, schedule, and manage all releases across product and customer projects.
- Define and maintain the release calendar, identifying dependencies and managing risks proactively.
- Partner with engineering, QA, DevOps, and product management to ensure release readiness.
- Create release documentation (notes, guides, videos) for both internal stakeholders and customers.
- Run a release review process with product leads before publishing.
- Publish releases and updates to the company website release section.
- Drive communication of release details to internal teams and customers in a clear, concise way.
- Manage post-release validation and rollback procedures when required.
- Continuously improve release management through automation, tooling, and process refinement.
IDEAL CANDIDATE:
- 3+ years of experience in Release Management, DevOps, or related roles.
- Strong knowledge of CI/CD pipelines, source control (Git), and build/deployment practices.
- Experience creating release documentation and customer-facing content (videos, notes, FAQs).
- Excellent communication and stakeholder management skills; able to translate technical changes into business impact.
- Familiarity with SaaS, iPaaS, or enterprise software environments is a strong plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive salary package.
- Opportunity to learn from and work with senior leadership & founders.
- Build solutions for large enterprises that move from concept to real-world impact.
- Exceptional career growth pathways in a highly innovative and rapidly scaling environment.
About the Role:
We are looking for a skilled AWS DevOps Engineer to join our Cloud Operations team in Bangalore. This hybrid role is ideal for someone with hands-on experience in AWS and a strong background in application migration from on-premises to cloud environments. You'll play a key role in driving cloud adoption, optimizing infrastructure, and ensuring seamless cloud operations.
Key Responsibilities:
- Manage and maintain AWS cloud infrastructure and services.
- Lead and support application migration projects from on-prem to cloud.
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
- Monitor cloud environments and optimize cost, performance, and reliability.
- Collaborate with development, operations, and security teams to implement DevOps best practices.
- Troubleshoot and resolve infrastructure and deployment issues.
Required Skills:
- 3–5 years of experience in AWS cloud environment.
- Proven experience with on-premises to cloud application migration.
- Strong understanding of AWS core services (EC2, VPC, S3, IAM, RDS, etc.).
- Solid scripting skills (Python, Bash, or similar).
Good to Have:
- Experience with Terraform for Infrastructure as Code.
- Familiarity with Kubernetes for container orchestration.
- Exposure to CI/CD tools like Jenkins, GitLab, or AWS CodePipeline.
Job Responsibilities:
Work & Deploy updates and fixes Provide Level 2 technical support Support implementation of fully automated CI/CD pipelines as per dev requirement Follow the escalation process through issue completion, including providing documentation after resolution Follow regular Operations procedures and complete all assigned tasks during the shift. Assist in root cause analysis of production issues and help write a report which includes details about the failure, the relevant log entries, and likely root cause Setup of CICD frameworks (Jenkins / Azure DevOps Server), Containerization using Docker, etc Implement continuous testing, Code Quality, Security using DevOps tooling Build a knowledge base by creating and updating documentation for support
Skills Required:
DevOps, Linux, AWS, Ansible, Jenkins, GIT, Terraform, CI, CD, Cloudformation, Typescript
POSITION SUMMARY:
We are looking for a passionate, high energy individual to help build and manage the infrastructure network that powers the Product Development Labs for F5 Inc. The F5 Infra Engineer plays a critical role to our Product Development team by providing valuable services and tools for the F5 Hyderabad Product Development Lab. The Infra team supports both production systems and customized/flexible testing environments used by Test and Product Development teams. As an Infra Engineer, you ’ll have the opportunity to work with cutting-edge technology and work with talented individuals. The ideal candidate will have experience in Private and Public Cloud – AWS-AZURE-GCP, OpenStack, storage, Backup, VMware, KVM, XEN, HYPER-V Hypervisor Server Administration, Networking and Automation in Data Center Operations environment at a global enterprise scale with Kubernetes, OpenShift Container Flatforms.
EXPERIENCE
7- 9+ Years – Software Engineer III
PRIMARY RESPONSIBILITIES:
-
Drive the design, Project Build, Infrastructure setup, monitoring, measurements, and improvements around the quality of services Provided, Network and Virtual Instances service from OpenStack, VMware VIO, Public and private cloud and DevOps environments.
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Work closely with the customers and understand the requirements and get it done on timelines.
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Work closely with F5 architects and vendors to understand emerging technologies and F5 Product Roadmap and how they would benefit the Infra team and its users.
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Work closely with the Team and complete the deliverables on-time
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Consult with testers, application, and service owners to design scalable, supportable network infrastructure to meet usage requirements.
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Assume ownership for large/complex systems projects; mentor Lab Network Engineers in the best practices for ongoing maintenance and scaling of large/complex systems.
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Drive automation efforts for the configuration and maintainability of the public/private Cloud.
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Lead product selection for replacement or new technologies
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Address user tickets in a timely manner for the covered services
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Responsible for deploying, managing, and supporting production and pre-production environments for our core systems and services.
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Migration and consolidations of infrastructure
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Design and implement major service and infrastructure components.
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Research, investigate and define new areas of technology to enhance existing service or new service directions.
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Evaluate performance of services and infrastructure; tune, re-evaluate the design and implementation of current source code and system configuration.
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Create and maintain scripts and tools to automate the configuration, usability and troubleshooting of the supported applications and services.
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Ability to take ownership on activities and new initiatives.
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Infra Global Support from India towards product Development teams.
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On-call support on a rotational basis for a global turn-around time-zones
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Vendor Management for all latest hardware and software evaluations keep the system up-to-date.
KNOWLEDGE, SKILLS AND ABILITIES:
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Have an in-depth multi-disciplined knowledge of Storage, Compute, Network, DevOps technologies and latest cutting-edge technologies.
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Multi-cloud - AWS, Azure, GCP, OpenStack, DevOps Operations
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IaaS- Infrastructure as a service, Metal as service, Platform service
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Storage – Dell EMC, NetApp, Hitachi, Qumulo and Other storage technologies
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Hypervisors – (VMware, Hyper-V, KVM, Xen and AHV)
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DevOps – Kubernetes, OpenShift, docker, other container and orchestration flatforms
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Automation – Scripting experience python/shell/golan , Full Stack development and Application Deployment
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Tools - Jenkins, splunk, kibana, Terraform, Bitbucket, Git, CI/CD configuration.
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Datacenter Operations – Racking, stacking, cable matrix, Solution Design and Solutions Architect
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Networking Skills – Cisco/Arista Switches, Routers, Experience on Cable matrix design and pathing (Fiber/copper)
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Experience in SAN/NAS storage – (EMC/Qumulo/NetApp & others)
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Experience with Red Hat Ceph storage.
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A working knowledge of Linux, Windows, and Hypervisor Operating Systems and virtual machine technologies
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SME - subject matter expert for all cutting-edge technologies
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Data center architect professional & Storage Expert level Certified professional experience .
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A solid understanding of high availability systems, redundant networking and multipathing solutions
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Proven problem resolution related to network infrastructure, judgment, negotiating and decision-making skills along with excellent written and oral communication skills.
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A Working experience in Object – Block – File storage Technologies
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Experience in Backup Technologies and backup administration.
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Dell/HP/Cisco UCS server’s administration is an additional advantage.
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Ability to quickly learn and adopt new technologies.
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A very very story experience and exposure towards open-source flatforms.
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A working experience on monitoring tools Zabbix, nagios , Datadog etc ..
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A working experience on and BareMetal services and OS administration.
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A working experience on the cloud like AWS- ipsec, Azure - express route, GCP – Vpn tunnel etc.
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A working experience in working using software define network like (VMware NSX, SDN, Openvswitch etc ..)
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A working experience with systems engineering and Linux /Unix administration
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A working experience with Database administration experience with PostgreSQL, MySQL, NoSQL
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A working experience with automation/configuration management using either Puppet, Chef or an equivalent
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A working experience with DevOps Operations Kubernetes, container, Docker, and git repositories
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Experience in Build system process and Code-inspect and delivery methodologies.
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Knowledge on creating Operational Dashboards and execution lane.
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Experience and knowledge on DNS, DHCP, LDAP, AD, Domain-controller services and PXE Services
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SRE experience in responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning.
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Vendor support – OEM upgrades, coordinating technical support and troubleshooting experience.
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Experience in handling On-call Support and hierarchy process.
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Knowledge on scale-out and scale-in architecture.
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Working experience in ITSM / process Management tools like ServiceNow, Jira, Jira Align.
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Knowledge on Agile and Scrum principles
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Working experience with ServiceNow
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Knowledge sharing, transition experience and self-learning Behavioral.
Summary
We are building the fastest, most reliable & intelligent trading platform. That requires highly available, scalable & performant systems. And you will be playing one of the most crucial roles in making this happen.
You will be leading our efforts in designing, automating, deploying, scaling and monitoring all our core products.
Tech Facts so Far
1. 8+ services deployed on 50+ servers
2. 35K+ concurrent users on average
3. 1M+ algorithms run every min
4. 100M+ messages/min
We are a 4-member backend team with 1 Devops Engineer. Yes! this is all done by this incredible lean team.
Big Challenges for You
1. Manage 25+ services on 200+ servers
2. Achieve 99.999% (5 Nines) availability
3. Make 1-minute automated deployments possible
If you like to work on extreme scale, complexity & availability, then you will love it here.
Who are we
We are on a mission to help retail traders prosper in the stock market. In just 3 years, we have the 3rd most popular app for the stock markets in India. And we are aiming to be the de-facto trading app in the next 2 years.
We are a young, lean team of ordinary people that is building exceptional products, that solve real problems. We love to innovate, thrill customers and work with brilliant & humble humans.
Key Objectives for You
• Spearhead system & network architecture
• CI, CD & Automated Deployments
• Achieve 99.999% availability
• Ensure in-depth & real-time monitoring, alerting & analytics
• Enable faster root cause analysis with improved visibility
• Ensure a high level of security
Possible Growth Paths for You
• Be our Lead DevOps Engineer
• Be a Performance & Security Expert
Perks
• Challenges that will push you beyond your limits
• A democratic place where everyone is heard & aware
Mandatory:
● A minimum of 1 year of development, system design or engineering experience ●
Excellent social, communication, and technical skills
● In-depth knowledge of Linux systems
● Development experience in at least two of the following languages: Php, Go, Python,
JavaScript, C/C++, Bash
● In depth knowledge of web servers (Apache, NgNix preferred)
● Strong in using DevOps tools - Ansible, Jenkins, Docker, ELK
● Knowledge to use APM tools, NewRelic is preferred
● Ability to learn quickly, master our existing systems and identify areas of improvement
● Self-starter that enjoys and takes pride in the engineering work of their team ● Tried
and Tested Real-world Cloud Computing experience - AWS/ GCP/ Azure ● Strong
Understanding of Resilient Systems design
● Experience in Network Design and Management
What you do :
- Developing automation for the various deployments core to our business
- Documenting run books for various processes / improving knowledge bases
- Identifying technical issues, communicating and recommending solutions
- Miscellaneous support (user account, VPN, network, etc)
- Develop continuous integration / deployment strategies
- Production systems deployment/monitoring/optimization
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Management of staging/development environments
What you know :
- Ability to work with a wide variety of open source technologies and tools
- Ability to code/script (Python, Ruby, Bash)
- Experience with systems and IT operations
- Comfortable with frequent incremental code testing and deployment
- Strong grasp of automation tools (Chef, Packer, Ansible, or others)
- Experience with cloud infrastructure and bare-metal systems
- Experience optimizing infrastructure for high availability and low latencies
- Experience with instrumenting systems for monitoring and reporting purposes
- Well versed in software configuration management systems (git, others)
- Experience with cloud providers (AWS or other) and tailoring apps for cloud deployment
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Data management skills
Education :
- Degree in Computer Engineering or Computer Science
- 1-3 years of equivalent experience in DevOps roles.
- Work conducted is focused on business outcomes
- Can work in an environment with a high level of autonomy (at the individual and team level)
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Comfortable working in an open, collaborative environment, reaching across functional.
Our Offering :
- True start-up experience - no bureaucracy and a ton of tough decisions that have a real impact on the business from day one.
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The camaraderie of an amazingly talented team that is working tirelessly to build a great OS for India and surrounding markets.
Perks :
- Awesome benefits, social gatherings, etc.
- Work with intelligent, fun and interesting people in a dynamic start-up environment.
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery









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