67 Aws jobs in Delhi

Title - System Administration

Type - Contract

Location - Remote

Roles and Responsibilities:

- Monitor and administer AWS cloud infrastructure, including EC2 instances, S3 buckets, VPCs, RDS databases, and Lambda functions.

- Develop and maintain high-availability and disaster recovery solutions, utilizing backup software such as Veeam, AWS Snapshots, Commvault, and Backup Exec.

- Oversee automation scripts and tools for provisioning, configuration, and maintenance of cloud and on-premises resources.

- Analyze system performance, identify trends, and implement improvements to ensure optimal resource utilization and cost efficiency. Utilize monitoring platforms like Datadog, Orion, Nagios, and WhatsUp Gold.

- Implement security best practices and compliance standards to protect cloud environments.

- Administer company SaaS platforms, ensuring user productivity with tools like Okta and AWS Workspaces.

- Provide technical guidance and support to junior support tiers and act as an escalation resource for all technologies under the Platform Engineering umbrella.

Qualifications:

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- Minimum of 2 years of experience in implementing and managing AWS cloud solutions.

- Minimum of 2 years of experience administering Okta.

- AWS Certified Solutions Architect - Professional certification is highly preferred.

- Strong understanding of cloud computing concepts and architectures, including IaaS, PaaS, and SaaS.

- Proficiency in AWS services such as EC2, S3, RDS, IAM, Lambda, CloudFormation, and CloudWatch.

- Experience with infrastructure automation tools such as Terraform, Ansible, or CloudFormation.

- Proven hands-on experience supporting the Okta SSO Platform.

- Solid understanding of networking concepts and technologies, including TCP/IP, VPN, DNS, and routing.

- Excellent analytical and problem-solving skills with the ability to troubleshoot complex issues in cloud environments.

- Strong communication and collaboration skills with the ability to work effectively in a cross-functional team environment.

Tools and Technologies:

- AWS Cloud Services: EC2, S3, RDS, IAM, Lambda, CloudFormation, CloudWatch.

- Backup Solutions: Veeam, AWS Snapshots, Commvault, Backup Exec.

- Monitoring Platforms: Datadog, Orion, Nagios, WhatsUp Gold.

- SaaS Platforms: Okta, AWS Workspaces.

- Automation Tools: Terraform, Ansible, CloudFormation.

Title - System Administration

Type - Contract

Location - Remote

Roles and Responsibilities:

- Monitor and administer AWS cloud infrastructure, including EC2 instances, S3 buckets, VPCs, RDS databases, and Lambda functions.

- Develop and maintain high-availability and disaster recovery solutions, utilizing backup software such as Veeam, AWS Snapshots, Commvault, and Backup Exec.

- Oversee automation scripts and tools for provisioning, configuration, and maintenance of cloud and on-premises resources.

- Analyze system performance, identify trends, and implement improvements to ensure optimal resource utilization and cost efficiency. Utilize monitoring platforms like Datadog, Orion, Nagios, and WhatsUp Gold.

- Implement security best practices and compliance standards to protect cloud environments.

- Administer company SaaS platforms, ensuring user productivity with tools like Okta and AWS Workspaces.

- Provide technical guidance and support to junior support tiers and act as an escalation resource for all technologies under the Platform Engineering umbrella.

Qualifications:

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- Minimum of 2 years of experience in implementing and managing AWS cloud solutions.

- Minimum of 2 years of experience administering Okta.

- AWS Certified Solutions Architect - Professional certification is highly preferred.

- Strong understanding of cloud computing concepts and architectures, including IaaS, PaaS, and SaaS.

- Proficiency in AWS services such as EC2, S3, RDS, IAM, Lambda, CloudFormation, and CloudWatch.

- Experience with infrastructure automation tools such as Terraform, Ansible, or CloudFormation.

- Proven hands-on experience supporting the Okta SSO Platform.

- Solid understanding of networking concepts and technologies, including TCP/IP, VPN, DNS, and routing.

- Excellent analytical and problem-solving skills with the ability to troubleshoot complex issues in cloud environments.

- Strong communication and collaboration skills with the ability to work effectively in a cross-functional team environment.

Tools and Technologies:

- AWS Cloud Services: EC2, S3, RDS, IAM, Lambda, CloudFormation, CloudWatch.

- Backup Solutions: Veeam, AWS Snapshots, Commvault, Backup Exec.

- Monitoring Platforms: Datadog, Orion, Nagios, WhatsUp Gold.

- SaaS Platforms: Okta, AWS Workspaces.

- Automation Tools: Terraform, Ansible, CloudFormation.

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a DevOps Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Key Responsibilities

• Lead and execute the migration of CI/CD pipelines from Jenkins to GitHub Actions.

• Work with shared repositories containing Groovy and Bash-based shared libraries, Jenkinsfiles, and workflows.

• Configure and manage Jenkins shared libraries, credentials, pipelines, and automation scripts.

• Implement GitHub Actions workflows with shared repositories for multiple repositories and jobs.

• Manage GitHub Actions runners, secrets, and secure authentication between GitHub and runners.

• Configure AWS IAM roles for EC2, IRSA for EKS, STS, and SSH access.

• Collaborate with development teams to improve pipeline efficiency, security, and reliability.

• Troubleshoot CI/CD issues and optimize build and deployment processes

Requirements

Essential Skills & Experience:

• 4+ years of experience as DevOps.

• Proven experience with Jenkins (shared libraries, Groovy, Bash, Jenkins credentials, Jenkinsfiles).

• Strong hands-on expertise with GitHub Actions (shared workflows, runners, secrets, and authentication).

• Experience with AWS IAM roles, IRSA for EKS, STS, and SSH configuration.

• Strong scripting skills in Bash and Groovy.

• Experience with large-scale CI/CD migration projects.

• Ability to work in complex, high-effort projects under tight deadlines.

Nice to Have:

• Experience with Terraform (not required for this role but a plus).

• Familiarity with container orchestration (Kubernetes, EKS).

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a DevOps Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Key Responsibilities

• Lead and execute the migration of CI/CD pipelines from Jenkins to GitHub Actions.

• Work with shared repositories containing Groovy and Bash-based shared libraries, Jenkinsfiles, and workflows.

• Configure and manage Jenkins shared libraries, credentials, pipelines, and automation scripts.

• Implement GitHub Actions workflows with shared repositories for multiple repositories and jobs.

• Manage GitHub Actions runners, secrets, and secure authentication between GitHub and runners.

• Configure AWS IAM roles for EC2, IRSA for EKS, STS, and SSH access.

• Collaborate with development teams to improve pipeline efficiency, security, and reliability.

• Troubleshoot CI/CD issues and optimize build and deployment processes

Requirements

Essential Skills & Experience:

• 4+ years of experience as DevOps.

• Proven experience with Jenkins (shared libraries, Groovy, Bash, Jenkins credentials, Jenkinsfiles).

• Strong hands-on expertise with GitHub Actions (shared workflows, runners, secrets, and authentication).

• Experience with AWS IAM roles, IRSA for EKS, STS, and SSH configuration.

• Strong scripting skills in Bash and Groovy.

• Experience with large-scale CI/CD migration projects.

• Ability to work in complex, high-effort projects under tight deadlines.

Nice to Have:

• Experience with Terraform (not required for this role but a plus).

• Familiarity with container orchestration (Kubernetes, EKS).

Position: Senior AWS Data Engineer

Location: Remote

Salary: Open

Work Timings: 2:30 PM to 11:30 PM IST

*** Need someone who can join immediately or in 15 days***

Responsibilities:

• Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Implement data processing and transformation workflows using Apache Spark, and SQL to support analytics and reporting requirements.
• Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.
• Collaborate with analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.
• Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.

Qualification:

• Minimum 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
• Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.
• Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Strong experience with Apache Spark for data processing and analytics.
• Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda.
• Solid understanding of data modeling, database design principles, and SQL and Spark SQL.

Position: Senior AWS Data Engineer

Location: Remote

Salary: Open

Work Timings: 2:30 PM to 11:30 PM IST

*** Need someone who can join immediately or in 15 days***

Responsibilities:

• Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Implement data processing and transformation workflows using Apache Spark, and SQL to support analytics and reporting requirements.
• Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.
• Collaborate with analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.
• Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.

Qualification:

• Minimum 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
• Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.
• Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Strong experience with Apache Spark for data processing and analytics.
• Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda.
• Solid understanding of data modeling, database design principles, and SQL and Spark SQL.

Position: Senior AWS Data Engineer

Location: Remote

Salary: Open

Work Timings: 2:30 PM to 11:30 PM IST

*** Need someone who can join immediately or in 15 days***

Responsibilities:

• Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Implement data processing and transformation workflows using Apache Spark, and SQL to support analytics and reporting requirements.
• Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.
• Collaborate with analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.
• Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.

Qualification:

• Minimum 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
• Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.
• Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Strong experience with Apache Spark for data processing and analytics.
• Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda.
• Solid understanding of data modeling, database design principles, and SQL and Spark SQL.

Sr. Cloud Engineer Job description:

Have work experience in the following areas:

• Experience in designing, building, and maintaining AWS Cloud Infrastructure.
• Proficient in AWS services including EC2, S3, RDS, VPC, Redshift, ECS, Route 53, Load Balancers, Auto Scaling, Cost Explorer, and others.
• Experience setting up ECS/EKS clusters, configuring deployments, and implementing performance-based scaling. Familiar with Docker images, Docker Hub, AMIs, etc.
• Skilled in automating infrastructure setup using Terraform and CloudFormation.
• Experience in setting up new environments based on specific landing page requirements and industry best practices.
• Hands-on experience with AWS IAM, including configuring roles, policies, and user groups.
• Experience in setting up RDS databases (MySQL, Redshift, PostgreSQL, MariaDB) and managing intranet user access. Skilled in troubleshooting connectivity issues.
• Specialized knowledge in network configurations using services such as VPC, Subnets, Security Groups, NAT Gateways, Internet Gateways, Route 53, WAF, etc.
• Experience in DevOps and CI/CD processes. Proficient with Bitbucket/GitHub for pipeline creation and familiar with ticketing systems like ServiceNow and Jira.
• Strong background in cost analysis and resource optimization. Knowledgeable in using Trusted Advisor, Cost Explorer, and tagging for granular cost insights.
• Experience with AMI upgrades, patch application, and maintenance window management.
• Skilled in monitoring AWS environments using tools such as New Relic, Splunk, Prometheus, Grafana, and others.
• Solid understanding of cloud architecture best practices and security guidelines.
• Experience in documenting SOPs, creating knowledge bases, and maintaining technical documentation.
• Demonstrated ability to work independently with clear communication skills. Collaborate effectively as a proactive and supportive team player.