Full Stack Engineer
Bengaluru
Job No. atci-5376350-s1970467
Full-time
工作描述
Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Docker Kubernetes Architecture and Design
Good to have skills : Ansible on Microsoft Azure, Cloud Automation DevOps, Infrastructure As Code (IaC)
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Overview
We are seeking a Full Stack Platform Engineer with 25 years of experience to design, implement, and maintain enterprise-grade cloud and DevOps platforms. You will be responsible for building automation scripts, Infrastructure as Code (IaC), and CI/CD pipelines that support scalable and secure deployments across environments.
This role is ideal for engineers ready to independently manage component-level delivery, contribute to reusable templates, and collaborate with development and infrastructure teams to enhance platform maturity.
Key Responsibilities
- Demonstrated ability to independently own platform components and implement automation.
- Cloud & IaC
- Provision and manage cloud resources (AWS/Azure/GCP) using Terraform, CloudFormation, or ARM/Bicep.
- Apply IaC standards across environments across technology stack.
- Maintain reusable IaC modules and ensure version-controlled infrastructure delivery.
- CI/CD & DevOps
- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
- Integrate testing, security scans, and linting in pipelines.
- Manage containerized deployments (Docker, Kubernetes) using Helm or Kustomize.
- Kubernetes & Application Deployment
- Deploy workloads to Kubernetes clusters using YAML manifests.
- Implement basic RBAC, ConfigMaps, Secrets, and Ingress configurations.
- Perform first-level troubleshooting on failed deployments and optimize runbooks/playbooks.
- Database & Platform Automation
- Automate provisioning of DB services (RDS, Azure SQL, PostgreSQL, MySQL).
- Integrate monitoring and backup policies into platform automation.
- Version Control & Collaboration
- Use Git branching and merging strategies effectively manage pull requests and code reviews.
- Collaborate with developers, infra, and QA teams to resolve issues.
- Contribute to documentation and knowledge-sharing within the team.
- Continuous Learning
- Stay current with cloud-native tools and best practices.
- Participate in retrospectives, suggesting improvements in platform processes.
- AI & GenAI
- Learn and support integration of AI-assisted tools for automation, code generation, and troubleshooting.
- Use AI copilots (GitHub Copilot, Azure AI Studio, ChatGPT) to contribute to IaC, scripts, and pipelines.
- Assist in basic AI-driven workflow automation (e.g., log analysis, alert summarization, runbook suggestions).
- Participate in AI-enabled project activities: requirement understanding, data preparation, testing AI outputs.
- Explore cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) with guidance.
Required Skills & Competencies
- Hands-on experience with AWS/Azure/GCP provisioning using IaC tools (Terraform, ARM, CloudFormation).
- Good understanding of CI/CD pipelines and automation frameworks.
- Working knowledge of Kubernetes (Pods, Deployments, Services, Helm).
- Familiarity with database provisioning and backup automation.
- Proficiency with Git (branching, merge conflicts, pull requests).
- Strong scripting ability in Bash, PowerShell, and Python.
- Solid understanding of networking, OS fundamentals, and cloud security principles.
- Interest in AI/GenAI tools and ability to use AI assistants for productivity.
- Strong communication and collaboration skills.
Certifications
- Cloud Certification (any two):
- AWS Certified Solutions Architect Associate / Azure Administrator Associate
- Terraform Associate
- CKA or CKAD (desirable)
- Resource needs to be AI Ready.
15 Year of Education to be completed
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Docker Kubernetes Architecture and Design
Good to have skills : Ansible on Microsoft Azure, Cloud Automation DevOps, Infrastructure As Code (IaC)
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Overview
We are seeking a Full Stack Platform Engineer with 25 years of experience to design, implement, and maintain enterprise-grade cloud and DevOps platforms. You will be responsible for building automation scripts, Infrastructure as Code (IaC), and CI/CD pipelines that support scalable and secure deployments across environments.
This role is ideal for engineers ready to independently manage component-level delivery, contribute to reusable templates, and collaborate with development and infrastructure teams to enhance platform maturity.
Key Responsibilities
- Demonstrated ability to independently own platform components and implement automation.
- Cloud & IaC
- Provision and manage cloud resources (AWS/Azure/GCP) using Terraform, CloudFormation, or ARM/Bicep.
- Apply IaC standards across environments across technology stack.
- Maintain reusable IaC modules and ensure version-controlled infrastructure delivery.
- CI/CD & DevOps
- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
- Integrate testing, security scans, and linting in pipelines.
- Manage containerized deployments (Docker, Kubernetes) using Helm or Kustomize.
- Kubernetes & Application Deployment
- Deploy workloads to Kubernetes clusters using YAML manifests.
- Implement basic RBAC, ConfigMaps, Secrets, and Ingress configurations.
- Perform first-level troubleshooting on failed deployments and optimize runbooks/playbooks.
- Database & Platform Automation
- Automate provisioning of DB services (RDS, Azure SQL, PostgreSQL, MySQL).
- Integrate monitoring and backup policies into platform automation.
- Version Control & Collaboration
- Use Git branching and merging strategies effectively manage pull requests and code reviews.
- Collaborate with developers, infra, and QA teams to resolve issues.
- Contribute to documentation and knowledge-sharing within the team.
- Continuous Learning
- Stay current with cloud-native tools and best practices.
- Participate in retrospectives, suggesting improvements in platform processes.
- AI & GenAI
- Learn and support integration of AI-assisted tools for automation, code generation, and troubleshooting.
- Use AI copilots (GitHub Copilot, Azure AI Studio, ChatGPT) to contribute to IaC, scripts, and pipelines.
- Assist in basic AI-driven workflow automation (e.g., log analysis, alert summarization, runbook suggestions).
- Participate in AI-enabled project activities: requirement understanding, data preparation, testing AI outputs.
- Explore cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) with guidance.
Required Skills & Competencies
- Hands-on experience with AWS/Azure/GCP provisioning using IaC tools (Terraform, ARM, CloudFormation).
- Good understanding of CI/CD pipelines and automation frameworks.
- Working knowledge of Kubernetes (Pods, Deployments, Services, Helm).
- Familiarity with database provisioning and backup automation.
- Proficiency with Git (branching, merge conflicts, pull requests).
- Strong scripting ability in Bash, PowerShell, and Python.
- Solid understanding of networking, OS fundamentals, and cloud security principles.
- Interest in AI/GenAI tools and ability to use AI assistants for productivity.
- Strong communication and collaboration skills.
Certifications
- Cloud Certification (any two):
- AWS Certified Solutions Architect Associate / Azure Administrator Associate
- Terraform Associate
- CKA or CKAD (desirable)
- Resource needs to be AI Ready.
15 Year of Education to be completed
职位要求
15 years full time education
