DevOps Engineer at Sapper.ai · Pune · 3 - 10 years · ₹5L - ₹20L / yr · Raised funding · Posted 27 Oct 2021
Jenkins
Docker
Amazon Web Services (AWS)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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Sapper.ai
Similar jobs (10)
Amazon Web Services (AWS)
KubernetesJob Summary :
We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.
Key Responsibilities :
- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.
- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.
- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management
- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.
- Collaborate with developers to ensure smooth and frequent deployments to production.
- Manage versioning and rollback strategies for critical deployments.
- Containerization & Orchestration using Kubernetes.
- Containerize applications using Docker, and manage them using Kubernetes.
- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.
- Develop utilities and tools to enhance operational efficiency and reliability.
- Monitoring & Incident Management
- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.
- Optimize application and system performance through proactive monitoring and configuration tuning.
Desired Skills and Experience :
- Experience Required - 6+ yrs.
- Hands-on experience on cloud services like AWS, EKS etc.
- Ability to design a good cloud solution.
- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.
- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.
- Use knowledge and research to constantly modernize our applications and infrastructure stacks.
- Be a team player and strong problem-solver to work with a diverse team.
- Having good communication skills.
Associate Principal Engineer, Linux Administrator
Location: Bengaluru, India (Hybrid)
Employment Type: Full-time
Experience:9-11 years
Job description
REQUIREMENTS:
- Strong experience in DevOps, Platform Engineering, and Infrastructure Automation
- Deep hands-on expertise in Linux Administration (RHEL, CentOS, Ubuntu) – OS hardening, security, patching, and performance management (Must Have)
- Strong experience with Cloud Technologies – Public & Private Cloud environments (Must Have)
- Hands-on experience with Infrastructure as Code (IaC) using Terraform (Must Have)
- Strong automation expertise using Ansible for configuration management and infrastructure provisioning (Must Have)
- Experience building and managing CI/CD pipelines and end-to-end deployment automation
- Strong experience with Kubernetes administration, orchestration, and cluster management (Must Have)
- Hands-on experience with Docker containerization and Helm package management
- Experience managing large-scale development and infrastructure environments
- Strong understanding of Networking concepts, connectivity, design, troubleshooting, and network automation
- Experience with Observability & Monitoring tools and best practices
- Experience with Proxmox virtualization platform administration and management
- Knowledge of Edge Technologies and distributed infrastructure environments
- Basic understanding and administration of Active Directory (AD)
- Experience implementing AI-driven Automation solutions and operational efficiencies
- Strong understanding of infrastructure security, compliance, and governance
- Experience working in Agile/Scrum environments
- Strong troubleshooting, analytical, and problem-solving skills
- Excellent communication and stakeholder management skills
RESPONSIBILITIES:
- Design, build, and manage scalable infrastructure platforms across cloud and on-premise environments
- Administer and maintain Linux servers including security hardening, patching, performance tuning, and troubleshooting
- Develop and manage Infrastructure as Code (IaC) solutions using Terraform
- Automate infrastructure provisioning, configuration management, and operational tasks using Ansible
- Design, implement, and maintain CI/CD pipelines for application and infrastructure deployments
- Deploy, manage, and optimize Kubernetes clusters and containerized workloads
- Manage Docker environments and Helm-based application deployments
- Design and implement network solutions ensuring security, reliability, and scalability
- Monitor infrastructure health, performance, and availability using observability and monitoring tools
- Manage and support Proxmox virtualization environments
- Implement AI-driven automation initiatives to improve operational efficiency and reduce manual effort
- Support edge infrastructure deployments and distributed computing environments
- Collaborate with development, security, and operations teams to deliver reliable platform services
- Troubleshoot production incidents and perform root cause analysis
- Define infrastructure standards, automation frameworks, and operational best practices
- Ensure high availability, scalability, security, and reliability of infrastructure platforms
- Mentor junior engineers and provide technical leadership on DevOps and platform engineering initiatives
- Participate in Agile ceremonies and contribute to continuous improvement initiatives
- Work closely with stakeholders to understand infrastructure requirements and deliver optimal solutions
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related fields
Amazon Web Services (AWS)Senior Cloud Engineer Job Description
Position Title: Senior Cloud Engineer -- AWS [LONG TERM-CONTRACT POSITION]
Location: Remote [REQUIRES WORKING IN CST TIME ZONE]
Position Overview
The Senior Cloud Engineer will play a critical role in designing, deploying, and managing scalable, secure, and highly available cloud infrastructure across multiple platforms (AWS, Azure, Google Cloud). This role requires deep technical expertise, leadership in cloud
strategy, and hands-on experience with automation, DevOps practices, and cloud-native technologies. The ideal candidate will work collaboratively with cross-functional teams to deliver robust cloud solutions, drive best practices, and support business objectives
through innovative cloud engineering.
Key Responsibilities
Design, implement, and maintain cloud infrastructure and services, ensuring high availability, performance, and security across multi-cloud environments (AWS, Azure, GCP)
Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible for automated provisioning and configuration
Lead the adoption and optimization of DevOps methodologies, including CI/CD pipelines, automated testing, and deployment processes
Collaborate with software engineers, architects, and stakeholders to architect cloud-native solutions that meet business and technical requirements
Monitor, troubleshoot, and optimize cloud systems for cost, performance, and reliability, using cloud monitoring and logging tools
Ensure cloud environments adhere to security best practices, compliance standards, and governance policies, including identity and access management, encryption, and vulnerability management
Mentor and guide junior engineers, sharing knowledge and fostering a culture of continuous improvement and innovation
Participate in on-call rotation and provide escalation support for critical cloud infrastructure issues
Document cloud architectures, processes, and procedures to ensure knowledge transfer and operational excellence
Stay current with emerging cloud technologies, trends, and best practices,
Required Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent work experience
- 6–10 years of experience in cloud engineering or related roles, with a proven track record in large-scale cloud environments
- Deep expertise in at least one major cloud platform (AWS, Azure, Google Cloud) and experience in multi-cloud environments
- Strong programming and scripting skills (Python, Bash, PowerShell, etc.) for automation and cloud service integration
- Proficiency with DevOps tools and practices, including CI/CD (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and configuration management (Ansible, Chef)
- Solid understanding of networking concepts (VPC, VPN, DNS, firewalls, load balancers), system administration (Linux/Windows), and cloud storage solutions
- Experience with cloud security, governance, and compliance frameworks
- Excellent analytical, troubleshooting, and root cause analysis skills
- Strong communication and collaboration abilities, with experience working in agile, interdisciplinary teams
- Ability to work independently, manage multiple priorities, and lead complex projects to completion
Preferred Qualifications
- Relevant cloud certifications (e.g., AWS Certified Solutions Architect, AWS DevOps Engineer, Microsoft AZ-300/400/500, Google Professional Cloud Architect)
- Experience with cloud cost optimization and FinOps practices
- Familiarity with monitoring/logging tools (CloudWatch, Kibana, Logstash, Datadog, etc.)
- Exposure to cloud database technologies (SQL, NoSQL, managed database services)
- Knowledge of cloud migration strategies and hybrid cloud architectures
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)
4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
5. Candidate must have Self experience in database migration from scratch
6. Must have a firm hold on the container orchestration tool Kubernetes
7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
8. Understanding programming languages like GO/Python, and Java
9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
10. Working experience on Cloud platform -AWS
11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
DockerJenkinsExp: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
DockerKubernetesAmazon Web Services (AWS)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.
KubernetesDevops Engineer Position - 3+ years
Kubernetes, Helm - 3+ years (dev & administration)
Monitoring platform setup experience - Prometheus, Grafana
Azure/ AWS/ GCP Cloud experience - 1+ years.
Ansible/Terraform/Puppet - 1+ years
CI/CD - 3+ years
Amazon Web Services (AWS)- 3-6 years of relevant work experience in a DevOps role.
- Deep understanding of Amazon Web Services or equivalent cloud platforms.
- Proven record of infra automation and programming skills in any of these languages - Python, Ruby, Perl, Javascript.
- Implement DevOps Industry best practices and the application of procedures to achieve a continuously deployable system
- Continuously improve and increase the capabilities of the CI/CD pipeline
- Support engineering teams in the implementation of life-cycle infrastructure solutions and documentation operations in order to meet the engineering departments quality and standards
- Participate in production outages and handle complex issues and works towards resolution
Amazon Web Services (AWS)Kubernetes
PythonAs DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.
Responsibilities:
- Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
- Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
- Delivering system management tooling to the engineering teams.
- Working on your own applications which will be used internally.
- Contributing to open source projects that we are using (or that we may start).
- Be an advocate for engineering best practices in and out of the company.
- Organizing tech talks and participating in meetups and representing Box8 at industry events.
- Sharing pager duty for the rare instances of something serious happening.
- Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.
Requirements:
- 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
- Ruby On Rails or Python and Bash/Shell skills.
- Experience managing complex systems at scale.
- Experience with Docker, rkt or similar container engine.
- Experience with Kubernetes or similar clustering solutions.
- Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
- Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience in working on linux based servers.
- Managing large scale production grade infrastructure on AWS Cloud.
- Good Knowledge on scripting languages like ruby, python or bash.
- Experience in creating in deployment pipeline from scratch.
- Expertise in any of the CI tools, preferably Jenkins.
- Good knowledge of docker containers and its usage.
- Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.
Good to have:
- Knowledge of Ruby on Rails based applications and its deployment methodologies.
- Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
- Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon