Rds studio Jobs

Full Stack Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- DevOps
- SQL
Custom Software Engineer
Accenture —Hyderabad, Telangana
- Full-time
- Oracle
- Computer Science
- B.Sc
Computer Scientist 2 (Frontend)
Adobe —Noida, Uttar Pradesh
- Full-time
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- AWS
Full Stack Developer (Backend & DevOps)
2070Health —Bengaluru, Karnataka
- Full-time
- Master's degree
- SQL
- AWS
Quick apply
Senior Devops Engineer
NEC Software Solutions (India) —Unknown, Maharashtra
- Full-time
- Remote
- AWS
- Bachelor's degree
- APIs
Quick apply
Ai Solution Architect
Syngenta Group —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Salesforce
Quick apply
DotNet Developer with MVC 4&5
HTSM Technologies —Kolkata, West Bengal
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Associate Cloud Database Administrator
Datavail —Mumbai, Maharashtra
- Full-time
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- B.Sc
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ENO8 —Remote
- ₹18 - ₹20 a year
- Full-time
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Hapag-Lloyd AG —Chennai, Tamil Nadu
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Custom Software Engineer Copy 02
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You will play a crucial role in developing and implementing solutions for our organization's needs. Prepare functional design documents (FDDs).
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The role requires working with modern development frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that…
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Full Stack Engineer

Accenture -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

CI/CD
Azure
Kubernetes
Ansible
Full-stack development
DevOps
Git
AWS Certified Solutions Architect – Associate
Bash (Unix shell)
SQL
RBAC
AWS
Docker
PostgreSQL
Terraform
Continuous integration
Back-end development
GitHub
Agile
AI
RDS database
Jenkins
GitLab
Communication skills
Python
PowerShell
MySQL
AWS Certified Solutions Architect – Professional

Full job description

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
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
AI Powered Tech Talent
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)

15 Year of Education to be completed

Resource needs to be AI Ready.

15 years full time education

Apply Now

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Full Stack Engineer

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Full Stack Developer (Backend & DevOps)

Senior Devops Engineer

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Associate Cloud Database Administrator

Senior Full Stack Developer (Node.js)

Lead Database Engineer

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