
● 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.

About Quantiphi Inc.
About
Quantiphi is a category-defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact.
We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design.
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We’re hiring a DevOps Engineer who’s passionate about automation, reliability, and scaling infrastructure for modern cloud-native applications. If you thrive in dynamic environments and love problem-solving at scale, we’d love to meet you!
🔧 Key Responsibilities
- Manage and support production systems with on-call rotations
- Deploy and maintain scalable infrastructure on AWS (ECS, EC2, EKS, S3, RDS, ELB, IAM, Lambda)
- Build infrastructure using Terraform
- Manage and monitor Kubernetes clusters and Docker containers
- Automate deployment and configuration using Ansible or similar tools
- Ensure systems reliability using robust monitoring and alerting tools
- Work with Linux OS, and network protocols like HTTP, DNS, SMTP, LDAP
- Manage services like Nginx, HAProxy, MySQL, SSH
- Collaborate with development, QA, and product teams
- Document systems and infrastructure best practices
✅ Required Skills
- 4+ years in DevOps, SRE, or Systems Administration
- Hands-on experience with AWS, Kubernetes, Docker
- Proficient with Terraform, Ansible, and Linux systems
- Strong understanding of networking, system logs, and debugging
- Excellent communication and documentation skills
You need to drive automation for implementing scalable and robust applications. You would indulge your dedication and passion to build server-side optimization ensuring low-latency and high-end performance for the cloud deployed within datacentre. You should have sound knowledge of Open stack and Kubernetes domain.
YOUR ‘OKR’ SUMMARY
OKR means Objective and Key Results.
As a DevOps Engineer, you will understand the overall movement of data in the entire platform, find bottlenecks,define solutions, develop key pieces, write APIs and own deployment of those. You will work with internal and external development teams to discover these opportunities and to solve hard problems. You will also guide engineers in solving the complex problems, developing your acceptance tests for those and reviewing the work and
the test results.
What you will do
- As a DevOps Engineer responsible for systems being used by customer across the globe.
- Set the goals for overall system and divide into goals for the sub-system.
- Guide/motivate/convince/mentor the architects on sub-systems and help them achieving improvements with agility and speed.
- Identify the performance bottleneck and come up with the solution to optimize time and cost taken by build/test system.
- Be a thought leader to contribute to the capacity planning for software/hardware, spanning internal and public cloud, solving the trade-off between turnaround time and utilization.
- Bring in technologies enabling massively parallel systems to improve turnaround time by an order of magnitude.
What you will need
A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the following skills to succeed.
- BS or BE/B.Tech or equivalent experience in EE/CS with 10+ years of experience.
- Strong background of Architecting and shipping distributed scalable software product with good understanding of system programming.
- Excellent background of Cloud technologies like: OpenStack, Docker, Kubernetes, Ansible, Ceph is must.
- Excellent understanding of hybrid, multi-cloud architecture and edge computing concepts.
- Ability to identify the bottleneck and come up with solution to optimize it.
- Programming and software development skills in Python, Shell-script along with good understanding of distributed systems and REST APIs.
- Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
- Excellent knowledge and working experience with Docker containers and Virtual Machines.
- Ability to effectively work across organizational boundaries to maximize alignment and productivity between teams.
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate.
Additional Advantage:
- Deep understanding of technology and passionate about what you do.
- Background in designing high performant scalable software systems with strong focus to optimizehardware cost.
- Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide andinfluence within a dynamic environment.
- Strong commitment to get the most performance out of a system being worked on.
- Prior development of a large software project using service-oriented architecture operating with real time constraints.
What's In It for You?
- You will get a chance to work on cloud-native and hyper-scale products
- You will be working with industry leaders in cloud.
- You can expect a steep learning curve.
- You will get the experience of solving real time problems, eventually you become a problem solver.
Benefits & Perks:
- Competitive Salary
- Health Insurance
- Open Learning - 100% Reimbursement for online technical courses.
- Fast Growth - opportunities to grow quickly and surely
- Creative Freedom + Flat hierarchy
- Sponsorship to all those employees who represent company in events and meet ups.
- Flexible working hours
- 5 days week
- Hybrid Working model (Office and WFH)
Our Hiring Process:
Candidates for this position can expect the hiring process as follows (subject to successful clearing of every round)
- Initial Resume screening call with our Recruiting team
- Next, candidates will be invited to solve coding exercises.
- Next, candidates will be invited for first technical interview
- Next, candidates will be invited for final technical interview
- Finally, candidates will be invited for Culture Plus interview with HR
- Candidates may be asked to interview with the Leadership team
- Successful candidates will subsequently be made an offer via email
As always, the interviews and screening call will be conducted via a mix of telephonic and video call.
So, if you are looking at an opportunity to really make a difference- make it with us…
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Java with cloud
Core Java, SpringBoot, MicroServices |
- DB2 or any RDBMS database application development |
- Linux OS, shell scripting, Batch Processing |
- Troubleshooting Large Scale application |
- Experience in automation and unit test framework is a must |
- AWS Cloud experience desirable |
- Agile Development Experience |
- Complete Development Cycle ( Dev, QA, UAT, Staging) |
- Good Oral and Written Communication Skills |
We are hiring for https://www.linkedin.com/feed/hashtag/?keywords=devops&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Devops Engineer for a reputed https://www.linkedin.com/feed/hashtag/?keywords=mnc&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#MNC
Job Description:
Total exp- 6+Years
Must have:
Minimum 3-4 years hands-on experience in https://www.linkedin.com/feed/hashtag/?keywords=kubernetes&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Kubernetes and https://www.linkedin.com/feed/hashtag/?keywords=docker&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Docker
Proficiency in https://www.linkedin.com/feed/hashtag/?keywords=aws&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#AWS Cloud
Good to have Kubernetes admin certification
Job Responsibilities:
Responsible for managing Kubernetes cluster
Deploying infrastructure for the project
Build https://www.linkedin.com/feed/hashtag/?keywords=cicd&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#CICD pipeline
Looking for https://www.linkedin.com/feed/hashtag/?keywords=immediate&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Immediate Joiners only
Location: Pune
Salary: As per market standards
Mode: https://www.linkedin.com/feed/hashtag/?keywords=work&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Work from office
Implementing various development, testing, automation tools, and IT infrastructure
Selecting and deploying appropriate CI/CD tools
Required Candidate profile
LinuxWorking knowledge of any webserver eg- NGINX or Apache
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Beng involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Creating and managing CI/ CD pipelines for microservice architectures.
- Creating and managing application configuration.
- Researching and planning architectures and tools for smooth deployments.
- Logging, metrics and alerting management.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in designing CI/ CD pipelines using jenkins. Experience in deployment using Ansible.
- Experience in microservices architecture deployment, Hands-on experience on Docker, Kubernetes, EKS.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Configuration management tools like ansible/chef/puppet.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Proficient in bash scripting, python scripting is an advantage.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
- Proficient in Configuration Management.
- Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
- Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
- Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
- Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
- Design and implement DevOps processes for new projects following the department's objectives of automation.
- Collaborate on projects with development teams to provide recommendations, support and guidance.
- Work towards full automation, monitoring, virtualization and containerization.
- Create and maintain tools for deployment, monitoring and operations.
- Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
- Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
- Maintain 24/7 availability for responsible systems and be open to on-call rotation.
- Proficient in Java, Node or Python
- Experience with NewRelic, Splunk, SignalFx, DataDog etc.
- Monitoring and alerting experience
- Full stack development experience
- Hands-on with building and deploying micro services in Cloud (AWS/Azure)
- Experience with terraform w.r.t Infrastructure As Code
- Should have experience troubleshooting live production systems using monitoring/log analytics tools
- Should have experience leading a team (2 or more engineers)
- Experienced using Jenkins or similar deployment pipeline tools
- Understanding of distributed architectures


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

