1. AWS Cloud
2. Kubernetes (EKS or AKS)
3. Infrastructure as Code (preferrably Terraform)
4. GitHub/GitHub actions
5. use of Observability tools
6. Scripting (Python or Bash or Go)
Responsibilities
1. AWS Cloud
2. Kubernetes (EKS or AKS)
3. Infrastructure as Code (preferrably Terraform)
4. GitHub/GitHub actions
5. use of Observability tools
6. Scripting (Python or Bash or Go)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
1. CI/CD pipeline implementation for ETL and GoDAP. Currently end-to-end workflow is not fully automated.
Our next year focus should be to create standardized process establishment for on-prem as well as in cloud journey.
2. ETL Pipeline establishment/Optimization and performance tuning.
3. Unit test framework setup and integrate into CI/CD process to identify and fix the incidents well advance.
4. Test coverage tools integration.
5. Real-time monitoring and logging tools setup so that failures can be diagnosed quickly and efficiently.
6. Handling environment parity (Dev and prod) through Docker/Kubernetes for local development and testing.
7. Resource optimization by focusing on process standardization and cost reduction.
8. Data workflow Orchestration.
9. Manage and optimize Docker containers for scalable and efficient application deployments.
10. Design and implement CI/CD pipelines to automate build, test, and deployment processes.
11. Develop and maintain workflows using GitHub Actions to support automation and improve efficiency.
12. Plan and execute seamless on-premises to cloud migrations, ensuring security and scalability.
Responsibilities
1. CI/CD pipeline implementation for ETL and GoDAP. Currently end-to-end workflow is not fully automated.
Our next year focus should be to create standardized process establishment for on-prem as well as in cloud journey.
2. ETL Pipeline establishment/Optimization and performance tuning.
3. Unit test framework setup and integrate into CI/CD process to identify and fix the incidents well advance.
4. Test coverage tools integration.
5. Real-time monitoring and logging tools setup so that failures can be diagnosed quickly and efficiently.
6. Handling environment parity (Dev and prod) through Docker/Kubernetes for local development and testing.
7. Resource optimization by focusing on process standardization and cost reduction.
8. Data workflow Orchestration.
9. Manage and optimize Docker containers for scalable and efficient application deployments.
10. Design and implement CI/CD pipelines to automate build, test, and deployment processes.
11. Develop and maintain workflows using GitHub Actions to support automation and improve efficiency.
12. Plan and execute seamless on-premises to cloud migrations, ensuring security and scalability.
Salary : Rs. 0.0 - Rs. 16,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Mandatory Skills and Experience:
3+ years of overall experience and
5+ years of experience in AI and ML related experience In a People management role of
2+ years and managing their performance reviews,promotiosn etc Expertise in AI and ML Frameworks:
Profound knowledge of AI/ML technologies and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. Programming Proficiency:
Advanced proficiency in Python, including experience with its data science libraries (NumPy, Pandas, Matplotlib). Generative AI (GenAI) Applications:
Solid understanding of GenAI technologies and their application in creating innovative business solutions.
Data Management and Processing:
Experience with data processing and management tools such as SQL, NoSQL, Hadoop, or Spark.
Algorithm Development: Strong foundation in developing, evaluating, and implementing ML algorithms and models.
Presales and Client Interaction: Exceptional ability to engage with clients, understand their needs, and articulate the value proposition of AI/ML solutions.
Project Management: Proven track record of managing complex AI/ML projects, including planning, execution, and delivery.
Preferred Skills: Knowledge of Hyperscalers Ethics and Compliance: Knowledge of ethical AI principles and regulatory compliance related to data and AI.
Responsibilities
Mandatory Skills and Experience:
3+ years of overall experience and
5+ years of experience in AI and ML related experience In a People management role of
2+ years and managing their performance reviews,promotiosn etc Expertise in AI and ML Frameworks:
Profound knowledge of AI/ML technologies and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. Programming Proficiency:
Advanced proficiency in Python, including experience with its data science libraries (NumPy, Pandas, Matplotlib). Generative AI (GenAI) Applications:
Solid understanding of GenAI technologies and their application in creating innovative business solutions.
Data Management and Processing:
Experience with data processing and management tools such as SQL, NoSQL, Hadoop, or Spark.
Algorithm Development: Strong foundation in developing, evaluating, and implementing ML algorithms and models.
Presales and Client Interaction: Exceptional ability to engage with clients, understand their needs, and articulate the value proposition of AI/ML solutions.
Project Management: Proven track record of managing complex AI/ML projects, including planning, execution, and delivery.
Preferred Skills: Knowledge of Hyperscalers Ethics and Compliance: Knowledge of ethical AI principles and regulatory compliance related to data and AI.
Salary : Rs. 1,00,000.0 - Rs. 13,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
9 DDC5E Summary
As a DevOps AWS Architect, need to design, implement and manage scalable, secure, and high-performance cloud infrastructure on AWS. To optimize deployment processes, automate workflows, and ensure robust system reliability and security, driving continuous improvement and innovation in cloud operations.
Years of experience: 7- 10 years
Key Responsibilities
· Design and implement scalable, secure, and high-performance AWS cloud infrastructure.
· Automate deployment processes and workflows using tools like Terraform, Ansible, and Jenkins.
· Monitor and optimize system performance, ensuring high availability and reliability.
· Develop and enforce best practices for security, compliance, and cost management in cloud environments.
· Collaborate with development and operations teams to streamline CI/CD pipelines and improve software delivery.
· Troubleshoot and resolve infrastructure-related issues, providing technical support and guidance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in DevOps
- Good To Have Skills: Experience with Continuous Integration (CI) Tools
- Strong understanding of DevOps principles and practices
- Experience with implementing and managing CI/CD pipelines
- Knowledge of containerization technologies such as Docker and Kubernetes
- Familiarity with cloud platforms such as AWS or Azure
- Experience with infrastructure automation tools like Ansible or Terraform
- Ability to troubleshoot and resolve issues in a timely manner
Additional Information:
- The candidate should have a minimum of 5 years of experience in DevOps
- This position is based in Gurugram
- A 15 years full-time education is required"
Responsibilities
9 DDC5E Summary
As a DevOps AWS Architect, need to design, implement and manage scalable, secure, and high-performance cloud infrastructure on AWS. To optimize deployment processes, automate workflows, and ensure robust system reliability and security, driving continuous improvement and innovation in cloud operations.
Years of experience: 7- 10 years
Key Responsibilities
· Design and implement scalable, secure, and high-performance AWS cloud infrastructure.
· Automate deployment processes and workflows using tools like Terraform, Ansible, and Jenkins.
· Monitor and optimize system performance, ensuring high availability and reliability.
· Develop and enforce best practices for security, compliance, and cost management in cloud environments.
· Collaborate with development and operations teams to streamline CI/CD pipelines and improve software delivery.
· Troubleshoot and resolve infrastructure-related issues, providing technical support and guidance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in DevOps
- Good To Have Skills: Experience with Continuous Integration (CI) Tools
- Strong understanding of DevOps principles and practices
- Experience with implementing and managing CI/CD pipelines
- Knowledge of containerization technologies such as Docker and Kubernetes
- Familiarity with cloud platforms such as AWS or Azure
- Experience with infrastructure automation tools like Ansible or Terraform
- Ability to troubleshoot and resolve issues in a timely manner
Additional Information:
- The candidate should have a minimum of 5 years of experience in DevOps
- This position is based in Gurugram
- A 15 years full-time education is required"
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Senior Devops Engineer - It is expected that the role holder will most likely have the following qualifications and experience:
• Mandatory
• Tertiary degree qualified in computer science or similar discipline
• DevOps support 8+ years (ideally in Payments Processing - FIS products and AU payment scheme or Financial space)
• Cloud provider experience in AWS or Azure (EKS/AKS Kubernetes) including trouble shooting and access management
• Experience in secure infrastructure creation on Cloud using Terraform and maintenance using image patching
• Experience in CI/CD pipeline tooling (Github, Jenkins, Harness)
• Platform monitoring (App Dynamics, Splunk, Open search)
• Unix / Linux / Groovy Scripting
• Excellent Analytical / Problem Solving Skill
• Excellent communication including verbal/written English skills
• Good to have
• Experience using Hashi Corp Vault, Cyberark, SNOW
• Experience supporting and troubleshooting Distributed, event driven Rest based systems based on Rest API, Messaging systems such as Apache Kafka, IBM MQ, Relational DB such as Postgres
Responsibilities
Senior Devops Engineer - It is expected that the role holder will most likely have the following qualifications and experience:
• Mandatory
• Tertiary degree qualified in computer science or similar discipline
• DevOps support 8+ years (ideally in Payments Processing - FIS products and AU payment scheme or Financial space)
• Cloud provider experience in AWS or Azure (EKS/AKS Kubernetes) including trouble shooting and access management
• Experience in secure infrastructure creation on Cloud using Terraform and maintenance using image patching
• Experience in CI/CD pipeline tooling (Github, Jenkins, Harness)
• Platform monitoring (App Dynamics, Splunk, Open search)
• Unix / Linux / Groovy Scripting
• Excellent Analytical / Problem Solving Skill
• Excellent communication including verbal/written English skills
• Good to have
• Experience using Hashi Corp Vault, Cyberark, SNOW
• Experience supporting and troubleshooting Distributed, event driven Rest based systems based on Rest API, Messaging systems such as Apache Kafka, IBM MQ, Relational DB such as Postgres
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
