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Problem troubleshooting & Solving skills
Hands-on Hyper Converged Infrastructure & Virtualization technology Like: VMWare, RHEV And Nutanix.
Experience in Monitoring tools: Nagios, Icinga etc.
Knowledge of Backup Technologies like Commvault Etc.
Hands-on experience on storage Systems i.e. SAN/NAS, Net Backup- Dell EMC
Knowledge of CIS Security benchmarks.
Expert on UNIX, Shell, Bash Scripting.
JOB DETAILS:
- Job Title: Senior Devops Engineer 1
- Industry: Ride-hailing
- Experience: 4-6 years
- Working Days: 5 days/week
- Work Mode: ONSITE
- Job Location: Bangalore
- CTC Range: Best in Industry
Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)
Criteria:
1. Candidate must be from a product-based or scalable app-based startups company with experience handling large-scale production traffic.
2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).
3. Candidate must have solid experience with Kubernetes.
4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.
5. Candidate must be an individual contributor with strong ownership.
6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.
7. Candidate must have working knowledge of Go/Python and Java.
8. Candidate should have working experience on Cloud platform - AWS
9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.
Description
Job Summary:
As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
- Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs.
- Understanding the needs of stakeholders and conveying this to developers.
- Working on ways to automate and improve development and release processes.
- Identifying technical problems and developing software updates and ‘fixes’.
- Working with software developers to ensure that development follows established processes and works as intended.
- Do what it takes to keep the uptime above 99.99%.
- Understand DevOps philosophy and evangelize the principles across the organization.
- Strong communication and collaboration skills to break down the silos
Job Requirements:
- B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience.
- Minimum 4 yrs of experience working as a DevOps/Infrastructure Consultant.
- Strong background in operating systems like Linux.
- Understands the container orchestration tool Kubernetes.
- Proficient Knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.
- Problem-solving attitude, and ability to write scripts using any scripting language.
- Understanding programming languages like GO/Python, and Java.
- Basic understanding of databases and middlewares like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
- Should be able to take ownership of tasks, and must be responsible. - Good communication skills
Responsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices
Required skills and experience: • 3-10 years of experience in MLOps, DevOps or a related field • Bachelor’s degree in computer science, Data Science or a related field • Strong understanding of machine learning principles and model lifecycle management • Experience in Jenkins pipeline development • Experience in automation scripting
About MyOperator
MyOperator is a Business AI Operator, a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.
Job Summary
We are looking for a skilled and motivated DevOps Engineer with 3+ years of hands-on experience in AWS cloud infrastructure, CI/CD automation, and Kubernetes-based deployments. The ideal candidate will have strong expertise in Infrastructure as Code, containerization, monitoring, and automation, and will play a key role in ensuring high availability, scalability, and security of production systems.
Key Responsibilities
- Design, deploy, manage, and maintain AWS cloud infrastructure, including EC2, RDS, OpenSearch, VPC, S3, ALB, API Gateway, Lambda, SNS, and SQS.
- Build, manage, and operate Kubernetes (EKS) clusters and containerized workloads.
- Containerize applications using Docker and manage deployments with Helm charts
- Develop and maintain CI/CD pipelines using Jenkins for automated build and deployment processes
- Provision and manage infrastructure using Terraform (Infrastructure as Code)
- Implement and manage monitoring, logging, and alerting solutions using Prometheus and Grafana
- Write and maintain Python scripts for automation, monitoring, and operational tasks
- Ensure high availability, scalability, performance, and cost optimization of cloud resources
- Implement and follow security best practices across AWS and Kubernetes environments
- Troubleshoot production issues, perform root cause analysis, and support incident resolution
- Collaborate closely with development and QA teams to streamline deployment and release processes
Required Skills & Qualifications
- 3+ years of hands-on experience as a DevOps Engineer or Cloud Engineer.
- Strong experience with AWS services, including:
- EC2, RDS, OpenSearch, VPC, S3
- Application Load Balancer (ALB), API Gateway, Lambda
- SNS and SQS.
- Hands-on experience with AWS EKS (Kubernetes)
- Strong knowledge of Docker and Helm charts
- Experience with Terraform for infrastructure provisioning and management
- Solid experience building and managing CI/CD pipelines using Jenkins
- Practical experience with Prometheus and Grafana for monitoring and alerting
- Proficiency in Python scripting for automation and operational tasks
- Good understanding of Linux systems, networking concepts, and cloud security
- Strong problem-solving and troubleshooting skills
Good to Have (Preferred Skills)
- Exposure to GitOps practices
- Experience managing multi-environment setups (Dev, QA, UAT, Production)
- Knowledge of cloud cost optimization techniques
- Understanding of Kubernetes security best practices
- Experience with log aggregation tools (e.g., ELK/OpenSearch stack)
Language Preference
- Fluency in English is mandatory.
- Fluency in Hindi is preferred.
Job Description
What does a successful Senior DevOps Engineer do at Fiserv?
This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.
What will you do:
• Build, manage, and deploy CI/CD pipelines.
• DevOps Engineer - Helm Chart, Rundesk, Openshift
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.
• Implementing various development, testing, automation tools, and IT infrastructure
• Optimize and automate release/development cycles and processes.
• Be part of and help promote our DevOps culture.
• Identify and implement continuous improvements to the development practice
What you must have:
• 3+ years of experience in devops with hands-on experience in the following:
- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks
- Building docker images and running/managing docker instances
- Building Jenkins pipelines using groovy scripts
- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes
• Has good understanding on infrastructure as code
• Ability to write and update documentation
• Demonstrate a logical, process orientated approach to problems and troubleshooting
• Ability to collaborate with multi development teams
What you are preferred to have:
• 8+ years of development experience
• Jenkins administration experience
• Hands-on experience in building and deploying helm charts
Process Skills:
• Should have worked in Agile Project
Behavioral Skills :
• Good Communication skills
Skills
PRIMARY COMPETENCY : Cloud Infra PRIMARY SKILL : DevOps PRIMARY SKILL PERCENTAGE : 100
Responsibility :
- Install, configure, and maintain Kubernetes clusters.
- Develop Kubernetes-based solutions.
- Improve Kubernetes infrastructure.
- Work with other engineers to troubleshoot Kubernetes issues.
Kubernetes Engineer Requirements & Skills
- Kubernetes administration experience, including installation, configuration, and troubleshooting
- Kubernetes development experience
- Linux/Unix experience
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
This company is a network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth. We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud. We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices. We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.
We are looking for very hands-on SRE (Site Reliability Engineering) engineers with 3 to 6 years of experience. The person will be part of team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.
This person MUST have:
- B.E Computer Science or equivalent
- 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
- 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
- 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
- 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
- Experience configuring/maintaining one monitoring tool.
- Excellent verbal & written communication skills.
- Candidates with certifications - AWS, GCP, CKA, etc will be preferred
- Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
- Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2 or Build & Deploy..
Location:
- Remotely, anywhere in India
Timings:
- The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
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
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

Global internet of things connected solutions provider(H1)
- Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
- Automate the provisioning of environments
- Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
- Manage a Continuous Integration and Deployment environment.
- Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
- Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
- Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.
Technical Skills
- Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
- Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
- Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
- Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
- Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).
Qualifications:
- B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
- Minimum 60% in Graduation and Post-Graduation.
- Good verbal and written communication skills


