DevOps Engineer at Koo App · Bengaluru (Bangalore) · 3 - 7 years · ₹15L - ₹30L / yr · Raised funding · Posted 2 Jun 2023
Kubernetes
Amazon Web Services (AWS)Job description
Problem Statement-Solution
Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects. The internet has largely been in English. A good part of India is now getting internet connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users will balloon to about 600 million users out of the total 750 million internet users in India by 2020. This will make the vernacular segment one of the largest segments in the world - almost 2x the size of the US population. The vernacular segment has very few products that they can use on the internet.
One large human need is that of sharing thoughts and connecting with people of the same community on the basis of language and common interests. Twitter serves this need globally but the experience is mostly in English. There’s a large unaddressed need for these vernacular users to express themselves in their mother tongue and connect with others from their community. Koo is a solution to this problem.
About Koo
Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and English, which gives a voice to the millions of Indians who communicate in Indian languages.
Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and Telugu, Koo enables people from across India to express themselves online in their mother tongues. In a country where under 10% of the population speaks English as a native language, Koo meets the need for a social media platform that can deliver an immersive language experience to an Indian user, thereby enabling them to connect and interact with each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice assistant to share their thoughts without having to type. In August 2021, Koo crossed 10 million downloads, in just 16 months of launch.
Since June 2021, Koo is available in Nigeria.
Founding Team
Koo is founded by veteran internet entrepreneurs - Aprameya Radhakrishna (CEO, Taxiforsure) and Mayank Bidawatka (Co-founder, Goodbox & Coreteam, redBus).
Technology Team & Culture
The technology team comprises sharp coders, technology geeks and guys who have been entrepreneurs or are entrepreneurial and extremely passionate towards technology. Talent is coming from the likes of Google, Walmart, Redbus, Dailyhunt. Anyone being part of a technology team will have a lot to learn from their peers and mentors. Download our android app and take a look at what we’ve built. Technology stack compromises of a wide variety of cutting-edge technologies like Kotlin, Java 15, Reactive Programming, MongoDB, Cassandra, Kubernetes, AWS, NodeJS, Python, ReactJS, Redis, Aerospike, ML, Deep learning etc. We believe in giving a lot of independence and autonomy to ownership-driven individuals.
Technology skill sets required for a matching profile
- Experience between 3 to 7 years in a devops role with mandatory one or more stints at a fast paced startup.
- Mandatory experience with containers, kubernetes (EKS) (setting up from scratch), istio and microservices.
- Sound knowledge of technologies like Terraform, Automation Scripts, Cron jobs etc. Must have worked with goals of putting infra as code like setting up new environments with code.
- Knowledge of industry standards around monitoring, alerting, self healing, high availability, auto scaling etc.
- Exhaustive experience with various cloud technologies (especially on AWS) like SQS, SNS, Elastic Search, Elastic Cache, Elastic Transcoder, VPC, Subnets, Security groups etc.
- Must have set up stable CI-CD pipelines with capabilities to do zero downtime deployments on any one of rolling updates, blue green or canary modes.
- Experience with VPN and LDAP solutions for securely login to infrastructure and proving SSO. 8. Master of deploying and troubleshooting all layers of application from network, frontend, backend and databases (MongoDB, Redis, Postgres, Cassandra, ElasticSearch, Aerospike etc).
Shubham Vishwakarma
Full Stack Developer - Averlon
About Koo App
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Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
Amazon Web Services (AWS)KubernetesJob Summary:
We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.
Roles & Responsibilities:
- Design, deploy, and manage cloud infrastructure on AWS.
- Manage and administer Kubernetes and OpenShift environments.
- Deploy, configure, and troubleshoot containerized applications.
- Perform Linux administration, troubleshooting, and system monitoring.
- Monitor application and infrastructure performance and resolve production issues.
- Automate deployment and operational activities wherever possible.
- Work with development and operations teams to support application deployments.
- Ensure system availability, reliability, and security.
- Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
- Follow DevOps best practices for CI/CD, infrastructure management, and automation.
Required Skills:
- 7–10 years of relevant experience in Cloud/DevOps.
- Strong hands-on experience with AWS.
- Good knowledge of Kubernetes and OpenShift.
- Strong Linux administration and troubleshooting skills.
- Experience in containerization and deployment of applications.
- Good understanding of cloud infrastructure and production support.
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
Kubernetes
DockerJob Description
The engineer will provide direct support to service development teams using the platform and maintain/develop platform components across CI pipelines, tool integrations, deployment architecture, monitoring, documentation, and self-service initiatives.
Responsibilities
- Support onboarding and technical discussions with development teams.
- Provide technical guidance and documentation.
- Support development engineers on CI/CD pipelines, deployments, logging and monitoring.
- Improve platform code, processes and documentation.
- Provide production infrastructure/operations support, including on-call support.
- Research product requirements and new technology rollouts.
Core Mandatory Skills
Kubernetes / Amazon EKS, Terraform, Terragrunt, AWS Cloud, Docker, CI/CD Pipelines, GitOps, Python / Go / Java, Cloud Operations / DevOps, Logging / Monitoring / Tracing, Incident Management
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
Amazon Web Services (AWS)KubernetesAWS / Kubernetes / OpenShift / Linux – Job Description
Role: Cloud / DevOps Engineer
Experience: 4–8 Years
Location: Bangalore
Mandatory Skills: AWS, Kubernetes, OpenShift, Linux
Job Summary
Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.
Key Responsibilities
- Manage and support AWS cloud infrastructure and services.
- Deploy and manage applications using Kubernetes and OpenShift.
- Perform Linux administration, troubleshooting, and issue resolution.
- Monitor application and infrastructure health and resolve production issues.
- Work on containerized applications and deployments.
- Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
- Troubleshoot cloud, container, and Linux-related issues.
- Collaborate with development and operations teams for deployments and releases.
- Follow security, availability, and operational best practices.
Mandatory Skills
- Strong hands-on experience in AWS
- Good experience with Kubernetes
- Hands-on experience in OpenShift
- Strong Linux administration and troubleshooting skills
- Experience in cloud/container environment support
- Good production troubleshooting and incident management skills
Amazon Web Services (AWS)TECHJAYS
THE AI REIMAGINATION COMPANY
Position DevOps Lead
Experience 10+ Years
Location Coimbatore / Hybrid
Joining Immediate / ASAP
Primary SkillsDevOps, AWS or Azure, CI/CD, Kubernetes, Docker, Terraform, Linux, Git, Cloud Infrastructure, Infrastructure Automation, Monitoring & Observability
Preferred SkillsAI/ML Infrastructure Exposure, GenAI Applications, GitOps, Argo CD, Prometheus, Grafana, Python, Bash, PowerShell, Cloud Security, FinOps
About Techjays
At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We focus on developing secure, scalable, production-grade AI systems that solve complex business challenges and deliver measurable business outcomes.
Our team brings together experienced engineers and technology leaders from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We work with global clients to build advanced AI-powered applications, enterprise platforms, and intelligent automation solutions.
We're looking for a DevOps Lead who can take ownership of cloud infrastructure, deployment automation, CI/CD pipelines, platform reliability, and engineering operations.
The ideal candidate will have deep hands-on expertise in either AWS or Azure, along with strong experience in Kubernetes, containerization, Infrastructure as Code, and production cloud environments.
You will lead the design and implementation of reliable infrastructure platforms, establish DevOps best practices, and work closely with software engineering and AI teams to support the deployment and operation of modern applications.
This role requires a strong hands-on cloud and DevOps specialist who can architect, implement, troubleshoot, and optimize production infrastructure. Prior exposure to AI/ML or AI-enabled applications is required, but specialized MLOps expertise is not mandatory.
Key Responsibilities
1. Cloud Infrastructure & Architecture
- Lead the design, implementation, and management of scalable, secure, and highly available cloud infrastructure.
- Own cloud infrastructure architecture and operations across AWS or Azure.
- Design and manage cloud environments covering compute, networking, storage, databases, and container platforms.
- Establish infrastructure standards, architecture patterns, and operational best practices.
- Manage cloud resource provisioning, configuration, scaling, and environment management.
- Ensure infrastructure meets requirements for availability, performance, security, and reliability.
- Drive infrastructure improvements through automation and continuous optimization.
2. DevOps & CI/CD Engineering
- Design, implement, and maintain CI/CD pipelines for application development and deployment.
- Manage multi-stage deployment workflows across development, testing, staging, and production environments.
- Implement automated build, testing, deployment, and release processes.
- Establish reusable pipeline templates, deployment standards, and approval workflows.
- Manage deployment strategies, including rolling, blue/green, and canary deployments.
- Implement rollback mechanisms and ensure reliable production releases.
- Integrate CI/CD workflows with source control, artifact repositories, and container registries.
- Continuously improve deployment efficiency, release reliability, and engineering productivity.
3. Containerization & Kubernetes Management
- Architect and manage containerized application environments using Docker and Kubernetes.
- Manage production Kubernetes clusters using Amazon EKS or Azure AKS.
- Implement Kubernetes configurations covering deployments, services, networking, secrets, storage, and resource management.
- Work with Helm charts for application packaging and deployment.
- Optimize container resource utilization, application scaling, and cluster performance.
- Troubleshoot complex container and Kubernetes-related production issues.
- Establish best practices for container security and workload reliability.
4. Infrastructure as Code & Automation
- Implement Infrastructure as Code using Terraform and cloud-native provisioning tools.
- Automate infrastructure provisioning, configuration management, and environment setup.
- Develop reusable infrastructure modules and deployment automation workflows.
- Use Python, Bash, or PowerShell to automate operational tasks and improve efficiency.
- Reduce manual intervention through standardization and automation.
- Maintain infrastructure documentation, configuration standards, and version-controlled deployment workflows.
5. Monitoring, Reliability & Production Operations
- Establish centralized monitoring, logging, alerting, and observability across cloud environments.
- Implement monitoring solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, or equivalent platforms.
- Monitor application availability, infrastructure health, resource utilization, and system performance.
- Lead troubleshooting and resolution of complex production incidents.
- Conduct root cause analysis and implement permanent corrective actions.
- Establish operational practices for backup, disaster recovery, availability, and business continuity.
- Improve system reliability through proactive monitoring and performance optimization.
6. Cloud Security & Governance
- Implement cloud security best practices across infrastructure and application environments.
- Manage IAM, RBAC, access controls, service identities, and secrets management.
- Secure cloud networking, virtual networks, firewalls, and infrastructure access.
- Implement container security and infrastructure hardening practices.
- Ensure cloud environments follow organizational security and compliance requirements.
- Identify infrastructure vulnerabilities and coordinate remediation activities.
- Establish secure deployment and configuration management practices.
7. AI Infrastructure & Engineering Collaboration
- Work closely with AI/ML and software engineering teams to provide infrastructure for AI-powered applications.
- Support the deployment and operation of LLM-based applications, AI services, and AI-enabled platforms.
- Design cloud infrastructure capable of supporting AI workloads, including compute, storage, networking, and containerized services.
- Support the infrastructure requirements of AI applications across development, testing, and production environments.
- Collaborate with engineering teams to improve deployment reliability, scalability, and operational performance of AI-powered systems.
- Evaluate infrastructure technologies and tools that support evolving AI application requirements.
8. Technical Leadership & Team Development
- Provide technical leadership to DevOps engineers and guide implementation across projects.
- Establish engineering standards, infrastructure best practices, and operational procedures.
- Mentor team members on cloud architecture, automation, CI/CD, Kubernetes, and production operations.
- Lead technical discussions and make architecture decisions involving infrastructure and DevOps technologies.
- Collaborate with engineering, security, and product teams to align infrastructure capabilities with business requirements.
- Drive continuous improvement across DevOps processes, tools, and engineering practices.
Required Technical Skills & Experience
1. Cloud Platforms
- 10+ years of overall experience in DevOps, cloud infrastructure, or platform engineering.
- Strong hands-on expertise in at least one major cloud platform: AWS or Azure.
- Practical experience designing, deploying, and operating production-grade cloud infrastructure.
AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch, and related infrastructure services.
Azure: Azure Virtual Machines, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.
Candidates do not need to be experts in both AWS and Azure. Deep expertise in either platform is the priority.
2. DevOps & CI/CD
- Strong experience designing and maintaining CI/CD pipelines.
- Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, GitLab CI, or equivalent tools.
- Understanding of multi-stage pipelines, automated deployments, release approvals, and artifact management.
- Experience implementing deployment automation and rollback strategies.
- Strong understanding of Git workflows and version control practices.
3. Containers & Kubernetes
- Strong hands-on experience with Docker and Kubernetes.
- Practical experience managing EKS or AKS environments.
- Understanding of Kubernetes networking, scaling, storage, secrets, and workload management.
- Experience with Helm and container orchestration.
- Ability to troubleshoot production container and Kubernetes environments.
4. Infrastructure as Code & Scripting
- Strong experience with Terraform and Infrastructure as Code practices.
- Familiarity with CloudFormation, Bicep, ARM templates, or similar tools.
- Working knowledge of Python, Bash, or PowerShell for infrastructure automation.
- Strong understanding of Linux administration and system troubleshooting.
5. Monitoring & Reliability Engineering
- Experience implementing infrastructure and application monitoring.
- Familiarity with CloudWatch, Azure Monitor, Prometheus, Grafana, and centralized logging solutions.
- Understanding of incident management, root cause analysis, performance optimization, and system availability.
- Experience establishing alerting, operational dashboards, and reliability practices.
6. AI/ML Infrastructure Exposure
- Prior experience supporting AI/ML applications, Generative AI platforms, LLM applications, or AI-enabled products.
- Understanding of infrastructure requirements for deploying and operating AI-powered applications.
- Familiarity with containerized AI services, cloud-based model integrations, and scalable application environments.
Note: This role does not require specialized MLOps expertise or model development experience. Strong cloud and DevOps engineering fundamentals remain the primary requirement.
Preferred Skills
- Experience implementing GitOps workflows using Argo CD or similar tools.
- Experience with blue/green deployments, canary releases, and automated rollback mechanisms.
- Exposure to cloud security, enterprise networking, governance, and landing-zone architecture.
- Experience with cloud cost optimization and FinOps practices.
- Familiarity with AI/ML infrastructure and production GenAI applications.
- Experience with Python-based automation and infrastructure tooling.
- Relevant AWS, Azure, Kubernetes, or Terraform certifications.
What We're Looking For Beyond Skills
- Cloud Expertise: Deep technical specialization in AWS or Azure, with the ability to design and manage production infrastructure independently.
- Hands-on Engineering: Someone who actively builds, automates, troubleshoots, and improves infrastructure rather than focusing only on team management.
- Technical Ownership: Takes responsibility for infrastructure reliability, deployment quality, security, and operational performance.
- System Thinking: Understands how cloud infrastructure, applications, networking, databases, and deployment pipelines work together.
- Problem-Solving: Ability to diagnose complex production issues and implement long-term engineering solutions.
- Automation Mindset: Continuously identifies opportunities to eliminate manual work and improve operational efficiency.
- Technical Leadership: Can mentor engineers, establish best practices, and drive technical decisions.
- AI Readiness: Has practical exposure to supporting AI-powered applications and understands their infrastructure requirements.
- Collaboration: Works effectively with software engineering, AI/ML, security, and product teams.
Typical Technology Environment
AreaTechnologiesCloud PlatformsAWS, AzureCI/CDAzure DevOps, GitHub Actions, Jenkins, GitLab CIContainersDocker, Kubernetes, EKS, AKS, HelmInfrastructure as CodeTerraform, CloudFormation, Bicep, ARMGitOpsArgo CD, Git-based deployment workflowsMonitoring & ObservabilityCloudWatch, Azure Monitor, Prometheus, GrafanaAutomationPython, Bash, PowerShellOperating SystemsLinux, WindowsSecurityIAM, RBAC, Secrets Management, Network SecurityAI ExposureAI/ML Applications, GenAI, LLM Platforms, AI-enabled Products
What We Offer
- Competitive compensation aligned with experience and expertise.
- Coimbatore office-based work environment with hybrid flexibility.
- Opportunity to lead cloud infrastructure and DevOps engineering for global clients.
- Exposure to modern AWS/Azure, Kubernetes, automation, and AI engineering practices.
- Paid holidays and flexible time off.
- Medical insurance covering self and family, up to ₹4 lakh per person.
- Opportunities to influence infrastructure architecture and engineering practices.
- A culture that values clarity, integrity, ownership, and continuous growth.
Join Techjays
If you're passionate about building reliable cloud platforms, automating complex infrastructure, and leading DevOps engineering for modern AI-powered applications, we'd love to hear from you.
Amazon Web Services (AWS)Job Summary:
We are looking for an experienced DevOps Engineer with strong expertise in AWS Cloud, Site Reliability Engineering (SRE), automation, and CI/CD practices. The candidate should have experience in managing cloud infrastructure, improving system reliability, monitoring applications, and handling production environments.
Mandatory Skills:
- Strong experience in AWS Cloud Services (EC2, S3, IAM, VPC, EKS, CloudWatch).
- Hands-on experience in DevOps and Site Reliability Engineering (SRE).
- Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
- Infrastructure as Code (IaC) using Terraform or CloudFormation.
- Strong scripting knowledge in Python, Shell, or Bash.
- Experience with Docker and Kubernetes.
- Monitoring and observability tools such as Prometheus, Grafana, ELK, Datadog, or CloudWatch.
- Experience in production support, incident management, troubleshooting, and RCA.
- Knowledge of high availability, scalability, performance optimization, and system reliability.
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
KubernetesDockerJob Summary
We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.
Mandatory Skills
- Site Reliability Engineering (SRE)
- DevOps Engineering
- Production Support
- Linux Administration
- Cloud Infrastructure (AWS / Azure / GCP)
- Kubernetes and Docker
- CI/CD pipelines
- Monitoring and Observability
- Scripting using Python / Shell
- Incident Management and Root Cause Analysis
Key Responsibilities
- Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
- Handle production incidents, troubleshoot issues, and perform root cause analysis.
- Manage and automate infrastructure deployment and operational tasks.
- Work with CI/CD pipelines and container orchestration platforms.
- Implement monitoring, alerting, and observability solutions.
- Collaborate with development and operations teams to improve system reliability.
- Support cloud infrastructure, Linux environments, and production deployments.
- Identify recurring issues and implement preventive measures to reduce downtime.
Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
Kubernetes
PythonAmazon Web Services (AWS)Devops + Python
Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)
4-8 years /16 LPA
10+ years /26 LPA
Bangalore/Hyderabad
immediate to 15 days.
Amazon Web Services (AWS)PythonDockerJob Description:
Pre-requisite skills required for a DevOps Engineer role include:
- 6+yrs exp in DevOps
- Experience working on Linux based infrastructure
- knowledge in AWS, docker, CI/CD tools
- Hands on exp in Python/shell scripting language
- hands on exp in AWS and Azure
- Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
- Excellent understanding of Ruby, Python, Perl, and Java
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services
ExclusiveAmazon Web Services (AWS)KubernetesAbout the company:
We empower US healthcare payers with a truly next-generation, cloud-native, holistic, and customizable platform designed to prevent and adapt to the ever-evolving inaccuracies in healthcare claims and payments. By reducing complexity and administrative costs, we offer a unified, healthcare-dedicated platform backed by top VCs like BeeNext, 3One4 Capital, and Saison Capital.
Position Overview:
We are looking for an experienced DevOps Engineer to join our team in Bengaluru. In this role, you will be responsible for building, optimizing, and maintaining scalable, secure, and highly available multi-cloud infrastructure that supports our engineering teams. The ideal candidate brings strong hands-on experience with Kubernetes, Infrastructure as Code (Terraform), and robust monitoring/observability stacks to enable seamless, reliable, and automated deployments.
Key Responsibilities:
- Container Orchestration: Deploy, scale, and manage containerized workloads on Kubernetes (EKS, AKS, and GKE).
- Infrastructure as Code (IaC): Build and maintain modular, reusable, and version-controlled infrastructure using Terraform across AWS, Azure, and GCP.
- Monitoring & Observability: Set up, manage, and optimize monitoring, logging, and alerting stacks (e.g., Prometheus, Grafana, ELK/EFK, Loki, Datadog).
- CI/CD Pipeline Management: Own, improve, and automate CI/CD pipelines to enable fast, reliable, and frictionless software releases.
- System Reliability & SRE Practices: Implement best practices for system reliability, including defining SLIs/SLOs, managing incident response, and participating in on-call support.
- Troubleshooting & Support: Diagnose and resolve complex production issues across infrastructure, networking, and application layers.
- Security & Compliance: Implement infrastructure security best practices, including IAM policies, secrets management, and network security.
- Automation: Eliminate repetitive operational tasks by writing clean, efficient scripts in Python, Bash, or Go.
- Operations & Planning: Participate in capacity planning, cost optimization, disaster recovery, and infrastructure scaling initiatives while maintaining clear documentation and runbooks.
Requirements :
- Solid working experience with cloud providers, specifically AWS, Azure, or GCP.
- Strong understanding of containerization (Docker) and container orchestration concepts.
- Familiarity with Linux system administration and networking fundamentals.
- Experience with version control systems (Git) and GitOps workflows (ArgoCD/Flux is a plus).
- Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
Qualifications :
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experience)
Key Skills:
- The ideal candidate must possess deep expertise in container orchestration, specifically hands-on experience managing Kubernetes ecosystems—including Helm charts, cluster networking, and RBAC policies—alongside a foundational mastery of Docker containerization.
- Proficiency in managing cloud architecture as software is essential, with a heavy emphasis on Terraform execution, including advanced module creation, state management, and multi-environment workspaces.
- A strong capability to implement full-stack visibility is required, utilizing tools like Prometheus, the Grafana LGMT stack, ELK/EFK, or Loki to build highly optimized monitoring, alerting, and logging systems.
- Candidates should have a proven track record of constructing and scaling automated deployment pipelines using industry-standard platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps to minimize release friction. .
- Strong core programming fundamentals are required to automate repetitive infrastructure tasks, with practical proficiency in Python, Bash, or Go.
- Familiarity with cutting-edge cloud-native technologies is highly desirable, including enterprise service meshes (Istio, Linkerd), comprehensive cloud security frameworks (HashiCorp Vault, OPA, Trivy), and a data-driven approach to cloud cost management and FinOps practices.
Work Location: Jayanagar - Bangalore.
Work Mode: Work from Office, hybrid- 3 days WFO
Note: We are looking for immediate joiners & Bangalore Candidates only
Benefits:
- Best-in-class compensation
- Health insurance for Family
- Personal Accident Insurance
- Friendly and Flexible Leave Policy
- Certification and Course Reimbursement
- Medical Coding CEUs and Membership Renewals
- Health checkup
- And many more!
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.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon