
- Strong experience using Java programming languages or DevOps on Google Cloud.
- Strong communication skills.
- Experience in Agile methodologies
- Certification on Professional Google Cloud Data engineer will be an added advantage.
- Experience on Google Cloud Platform.
- Experience on Java or DevOps
Required Key Skills :
- Excellent verbal and written communication and interpersonal skills.
- Ability to work independently and within a team environment.
- Interpersonal skills
- GCP, Cloud, Programming
- Agile
- Java programming language or DevOps experience.
CTC- 4L - 7L

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Job Title : Senior DevOps Engineer
Location : Remote
Experience Level : 5+ Years
Role Overview :
We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.
Key Responsibilities:
Infrastructure Scalability & Reliability :
- Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
- Implement container orchestration using Kubernetes or Docker Compose.
- Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.
Deployment Automation :
- Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
- Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.
Monitoring & Observability :
- Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
- Establish centralized logging systems and create real-time dashboards for actionable insights.
Security & Compliance :
- Securely manage secrets using tools like HashiCorp Vault or Doppler.
- Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.
Collaboration & Team Enablement :
- Mentor and guide team members on DevOps best practices and workflows.
- Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.
Required Skills :
- Expertise in managing cloud platforms like AWS, GCP, or Azure.
- In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
- Advanced scripting capabilities in Python or Bash.
- Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
- Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
- Strong troubleshooting skills for debugging production systems and optimizing performance.
Preferred Qualifications :
- Experience in scaling AI or ML-based applications.
- Familiarity with distributed systems and microservices architecture.
- Understanding of agile methodologies and DevSecOps practices.
- Certifications in AWS, Azure, or Kubernetes.
What We Offer :
- Opportunity to work in a fast-paced AI startup environment.
- Flexible remote work culture.
- Competitive salary and equity options.
- Professional growth through challenging projects and learning opportunities.
REVIEW CRITERIA:
MANDATORY:
- Strong Hands-On AWS Cloud Engineering / DevOps Profile
- Mandatory (Experience 1): Must have 12+ years of experience in AWS Cloud Engineering / Cloud Operations / Application Support
- Mandatory (Experience 2): Must have strong hands-on experience supporting AWS production environments (EC2, VPC, IAM, S3, ALB, CloudWatch)
- Mandatory (Infrastructure as a code): Must have hands-on Infrastructure as Code experience using Terraform in production environments
- Mandatory (AWS Networking): Strong understanding of AWS networking and connectivity (VPC design, routing, NAT, load balancers, hybrid connectivity basics)
- Mandatory (Cost Optimization): Exposure to cost optimization and usage tracking in AWS environments
- Mandatory (Core Skills): Experience handling monitoring, alerts, incident management, and root cause analysis
- Mandatory (Soft Skills): Strong communication skills and stakeholder coordination skills
ROLE & RESPONSIBILITIES:
We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.
KEY RESPONSIBILITIES:
- Operate and support AWS production environments across multiple accounts
- Manage infrastructure using Terraform and support CI/CD pipelines
- Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
- Build and manage Docker images and push to Amazon ECR
- Monitor systems using CloudWatch and third-party tools; respond to incidents
- Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
- Assist with cost optimization, tagging, and governance standards
- Automate operational tasks using Python, Lambda, and Systems Manager
IDEAL CANDIDATE:
- Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
- Experience with Terraform and Git-based workflows
- Hands-on experience with Kubernetes / EKS
- Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
- Scripting experience in Python or Bash
- Understanding of monitoring, incident management, and cloud security basics
NICE TO HAVE:
- AWS Associate-level certifications
- Experience with Karpenter, Prometheus, New Relic
- Exposure to FinOps and cost optimization practices
Key Responsibilities:
- ☁️ Manage cloud infrastructure and automation on AWS, Google Cloud (GCP), and Azure.
- 🖥️ Deploy and maintain Windows Server environments, including Internet Information Services (IIS).
- 🐧 Administer Linux servers and ensure their security and performance.
- 🚀 Deploy .NET applications (ASP.Net, MVC, Web API, WCF, etc.) using Jenkins CI/CD pipelines.
- 🔗 Manage source code repositories using GitLab or GitHub.
- 📊 Monitor and troubleshoot cloud and on-premises server performance and availability.
- 🤝 Collaborate with development teams to support application deployments and maintenance.
- 🔒 Implement security best practices across cloud and server environments.
Required Skills:
- ☁️ Hands-on experience with AWS, Google Cloud (GCP), and Azure cloud services.
- 🖥️ Strong understanding of Windows Server administration and IIS.
- 🐧 Proficiency in Linux server management.
- 🚀 Experience in deploying .NET applications and working with Jenkins for CI/CD automation.
- 🔗 Knowledge of version control systems such as GitLab or GitHub.
- 🛠️ Good troubleshooting skills and ability to resolve system issues efficiently.
- 📝 Strong documentation and communication skills.
Preferred Skills:
- 🖥️ Experience with scripting languages (PowerShell, Bash, or Python) for automation.
- 📦 Knowledge of containerization technologies (Docker, Kubernetes) is a plus.
- 🔒 Understanding of networking concepts, firewalls, and security best practices.
- Development/Technical support experience in preferably DevOps.
- Looking for an engineer to be part of GitHub Actions support. Experience with CI/CD tools like Bamboo, Harness, Ansible, Salt Scripting.
- Hands-on expertise with GitHub Actions and CICD Tools like Bamboo, Harness, CI/CD Pipeline stages, Build Tools, SonarQube, Artifactory, Nuget, Proget Veracode, LaunchDarkly, GitHub/Bitbucket repos, Monitoring tools.
- Handelling Xmatters,Techlines,Incidents
- Strong Scripting skills (PowerShell, Python, Bash/Shell Scripting) for Implementing automation scripts and Tools to streamline administrative tasks and improve efficiency.
- An Atlassian Tools Administrator is responsible for managing and maintaining Atlassian products such as Jira, Confluence, Bitbucket, and Bamboo.
- Expertise in Bitbucket, GitHub for version control and collaboration global level.
- Good experience on Linux/Windows systems activities, Databases.
- Aware of SLA and Error concepts and their implementations; provide support and participate in Incident management & Jira Stories. Continuously Monitoring system performance and availability, and responding to incidents promptly to minimize downtime.
- Well-versed with Observability tool as Splunk for Monitoring, alerting and logging solutions to identify and address potential issues, especially in infrastructure.
- Expert with Troubleshooting production issues and bugs. Identifying and resolving issues in production environments.
- Experience in providing 24x5 support.
- GitHub Actions
- Atlassian Tools (Bamboo, Bitbucket, Jira, Confluence)
- Build Tools (Maven, Gradle, MS Build, NodeJS)
- SonarQube, Veracode.
- Nexus, JFrog, Nuget, Proget
- Harness
- Salt Services, Ansible
- PowerShell, Shell scripting
- Splunk
- Linux, Windows
Job Description
- Implement IAM policies and configure VPCs to create a scalable and secure network for the application workloads
- Will be client point of contact for High Priority technical issues and new requirements
- Should act as Tech Lead and guide the junior members of team and mentor them
- Work with client application developers to build, deploy and run both monolithic and microservices based applications on AWS Cloud
- Analyze workload requirements and work with IT stakeholders to define proper sizing for cloud workloads on AWS
- Build, Deploy and Manage production workloads including applications on EC2 instance, APIs on Lambda Functions and more
- Work with IT stakeholders to monitor system performance and proactively improve the environment for scale and security
Qualifications
- Prefer to have at least 5+ years of IT experience implementing enterprise applications
- Should be AWS Solution Architect Associate Certified
- Must have at least 3+ years of working as a Cloud Engineer focused on AWS services such as EC2, CloudFront, VPC, CloudWatch, RDS, DynamoDB, Systems Manager, Route53, WAF, API Gateway, Elastic beanstalk, ECS, ECR, Lambda, SQS, SNS, S3 bucket, Elastic Search, DocumentDB IAM, etc.
- Must have a strong understanding of EC2 instances, types and deploying applications to the cloud
- Must have a strong understanding of IAM policies, VPC creation, and other security/networking principles
- Must have through experience in doing on prem to AWS cloud workload migration
- Should be comfortable in using AWS and other migrations tools
- Should have experience is working on AWS performance, Cost and Security optimisation
- Should be experience in implementing automated patching and hardening of the systems
- Should be involved in P1 tickets and also guide team wherever needed
- Creating Backups and Managing Disaster Recovery
- Experience in using Infra as a code automation using scripts & tools like CloudFormation and Terraform
- Any exposure towards creating CI/CD pipelines on AWS using CodeBuild, CodeDeploy, etc. is an advantage
- Experience with Docker, Bitbucket, ELK and deploying applications on AWS
- Good understanding of Containerisation technologies like Docker, Kubernetes etc.
- Should be experience in using and configuring cloud monitoring tools and ITSM ticketing tools
- Good exposure to Logging & Monitoring tools like Dynatrace, Prometheus, Grafana, ELF/EFK
Job Dsecription:
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.
○ Deep understanding of Terraform with best practices & writing TF modules.
○ Hands-on experience of GCP and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.
○ Deep understanding of Kernel, Networking and OS fundamentals
NOTICE PERIOD - Max - 30 days
- As a DevOps engineer, you will be responsible for
- Automated provisioning of infrastructure in AWS/Azure/OpenStack environments.
- Creation of CI/CD pipelines to ensure smooth delivery of projects.
- Proactive Monitoring of overall infrastructure (Logs/Resources etc)
- Deployment of application to various cloud environments.
- Should be able to lead/guide a team towards achieving goals and meeting the milestones defined.
- Practice and implement best practices in every aspect of project deliverable.
- Keeping yourself up to date with new frameworks and tools and enabling the team to use them.
Skills Required
- Experience in Automation of CI/CD processes using tools such as GIT, Gerrit, Jenkins, CircleCI, Azure Pipeline, Gitlab
- Experience in working with AWS and Azure platforms and Cloud-Native automation tools such as AWS cloud formation and Azure Resource Manager.
- Experience in monitoring solutions such as ELK Stack, Splunk, Nagios, Zabbix, Prometheus
- Web Server/Application Server deployments and administration.
- Good Communication, Team Handling, Problem-solving, Work Ethic, and Creativity.
- Work experience of at least 1 year in the following are mandatory.
If you do not have the relevant experience, please do not apply.
- Any cloud provider (AWS, GCP, Azure, OpenStack)
- Any of the configuration management tools (Ansible, Chef, Puppet, Terraform, Powershell DSC)
- Scripting languages (PHP, Python, Shell, Bash, etc.?
- Docker or Kubernetes
- Troubleshoot and debug infrastructure Network and operating system issues.
What we are looking for
Work closely with product & engineering groups to identify and document
infrastructure requirements.
Design infrastructure solutions balancing requirements, operational
constraints and architecture guidelines.
Implement infrastructure including network connectivity, virtual machines
and monitoring.
Implement and follow security guidelines, both policy and technical to
protect our customers.
Resolve incidents as escalated from monitoring solutions and lower tiers.
Identify root cause for issues and develop long term solutions to fix recurring
issues.
Ability to automate recurring tasks to increase velocity and quality.
Partner with the engineering team to build software tolerance for
infrastructure failure or issues.
Research emerging technologies, trends and methodologies and enhance
existing systems and processes.
Qualifications
Master’s/Bachelors degree in Computer Science, Computer Engineering,
Electrical Engineering, or related technical field, and two years of experience
in software/systems or related.
5+ years overall experience.
Work experience must have included:
Proven track record in deploying, configuring and maintaining Ubuntu server
systems on premise and in the cloud.
Minimum of 4 years’ experience designing, implementing and troubleshooting
TCP/IP networks, VPN, Load Balancers & Firewalls.
Minimum 3 years of experience working in public clouds like AWS & Azure.
Hands on experience in any of the configuration management tools like Anisble,
Chef & Puppet.
Strong in performing production operation activities.
Experience with Container & Container Orchestrator tools like Kubernetes, Docker
Swarm is plus.
Good at source code management tools like Bitbucket, GIT.
Configuring and utilizing monitoring and alerting tools.
Scripting to automate infrastructure and operational processes.
Hands on work to secure networks and systems.
Sound problem resolution, judgment, negotiating and decision making skills
Ability to manage and deliver multiple project phases at the same time
Strong analytical and organizational skills
Excellent written and verbal communication skills
Interview focus areas
Networks, systems, monitoring
AWS (EC2, S3, VPC)
Problem solving, scripting, network design, systems administration and
troubleshooting scenarios
Culture fit, agility, bias for action, ownership, communication
- Mandatory: Docker, AWS, Linux, Kubernete or ECS
- Prior experience provisioning and spinning up AWS Clusters / Kubernetes
- Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
- Experience supporting a managed cloud services infrastructure
- Ability to maintain, monitor and optimise production database servers
- Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
- Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
- Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
- In-depth knowledge on Linux Environment.
- Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
- Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
- Experience in handling large production deployments and infrastructure.
- DevOps based infrastructure and application deployments experience.
- Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
- Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
- He/she should be able to validate that the environment meets all security and compliance controls.
- Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
- Proven written and verbal communication skills.
- Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
- Previous NOC experience.
- Client Facing Experience with excellent Customer Communication and Documentation Skills








