12 Aws Codepipeline Jobs

Below are the key skills and qualifications we are looking for: Over 4 years of software development experience, with expertise in Python and familiarity with other programming languages such as Java and JavaScript. A minimum of 2 years of significant hands-on experience with AWS services, including Lambda and Step Functions. Domain knowledge in invoicing or billing is preferred, with experience on the Zuora platform (Billing and Revenue) being highly desirable. At least 2 years of working knowledge in SQL. Solid experience working with AWS cloud services, especially S3, Glue, Lambda, Redshift, and Athena. Experience with continuous integration/delivery (CI/CD) tools like Jenkins and Terraform. Excellent communication skills are essential. Design and implement backend services and APIs using Python. Build and maintain CI/CD pipelines using tools like GitHub Actions, AWS CodePipeline, or Jenkins. Optimize performance, scalability, and security of cloud applications. Implement logging, monitoring, and alerting for production workloads.

Role Overview We are looking for experienced DevOps Engineers (8+ years) with a strong background in cloud infrastructure, automation, and CI/CD processes. The ideal candidate will have hands-on experience in building, deploying, and maintaining cloud solutions using Infrastructure-as-Code (IaC) best practices. The role requires expertise in containerization, cloud security, networking, and monitoring tools to optimize and scale enterprise-level applications. Key Responsibilities Design, implement, and manage cloud infrastructure solutions on AWS, Azure, or GCP. Develop and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or similar tools. Implement and manage CI/CD pipelines using tools like GitHub Actions, Jenkins, GitLab CI/CD, BitBucket Pipelines, or AWS CodePipeline. Manage and orchestrate containers using Kubernetes, OpenShift, AWS EKS, AWS ECS, and Docker. Work on cloud migrations, helping organizations transition from on-premises data centers to cloud-based infrastructure. Ensure system security and compliance with industry standards such as SOC 2, PCI, HIPAA, GDPR, and HITRUST. Set up and optimize monitoring, logging, and alerting using tools like Datadog, Dynatrace, AWS CloudWatch, Prometheus, ELK, or Splunk. Automate deployment, configuration, and management of cloud-native applications using Ansible, Chef, Puppet, or similar configuration management tools. Troubleshoot complex networking, Linux/Windows server issues, and cloud-related performance bottlenecks. Collaborate with development, security, and operations teams to streamline the DevSecOps process. Must-Have Skills 3+ years of experience in DevOps, cloud infrastructure, or platform engineering. Expertise in at least one major cloud provider: AWS, Azure, or GCP. Strong experience with Kubernetes, ECS, OpenShift, and container orchestration technologies. Hands-on experience in Infrastructure-as-Code (IaC) using Terraform, AWS CloudFormation, or similar tools. Proficiency in scripting/programming languages like Python, Bash, or PowerShell for automation. Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or BitBucket Pipelines. Experience with Linux operating systems (RHEL, SUSE, Ubuntu, Amazon Linux) and Windows Server administration. Expertise in networking (VPCs, Subnets, Load Balancing, Security Groups, Firewalls). Experience in log management and monitoring tools like Datadog, CloudWatch, Prometheus, ELK, Dynatrace. Strong communication skills to work with cross-functional teams and external customers. Knowledge of Cloud Security best practices, including IAM, WAF, GuardDuty, CVE scanning, vulnerability management. Good-to-Have Skills Knowledge of cloud-native security solutions (AWS Security Hub, Azure Security Center, Google Security Command Center). Experience in compliance frameworks (SOC 2, PCI, HIPAA, GDPR, HITRUST). Exposure to Windows Server administration alongside Linux environments. Familiarity with centralized logging solutions (Splunk, Fluentd, AWS OpenSearch). GitOps experience with tools like ArgoCD or Flux. Background in penetration testing, intrusion detection, and vulnerability scanning. Experience in cost optimization strategies for cloud infrastructure. Passion for mentoring teams and sharing DevOps best practices.

Role Overview We are looking for experienced DevOps Engineers (8+ years) with a strong background in cloud infrastructure, automation, and CI/CD processes. The ideal candidate will have hands-on experience in building, deploying, and maintaining cloud solutions using Infrastructure-as-Code (IaC) best practices. The role requires expertise in containerization, cloud security, networking, and monitoring tools to optimize and scale enterprise-level applications. Key Responsibilities Design, implement, and manage cloud infrastructure solutions on AWS, Azure, or GCP. Develop and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or similar tools. Implement and manage CI/CD pipelines using tools like GitHub Actions, Jenkins, GitLab CI/CD, BitBucket Pipelines, or AWS CodePipeline. Manage and orchestrate containers using Kubernetes, OpenShift, AWS EKS, AWS ECS, and Docker. Work on cloud migrations, helping organizations transition from on-premises data centers to cloud-based infrastructure. Ensure system security and compliance with industry standards such as SOC 2, PCI, HIPAA, GDPR, and HITRUST. Set up and optimize monitoring, logging, and alerting using tools like Datadog, Dynatrace, AWS CloudWatch, Prometheus, ELK, or Splunk. Automate deployment, configuration, and management of cloud-native applications using Ansible, Chef, Puppet, or similar configuration management tools. Troubleshoot complex networking, Linux/Windows server issues, and cloud-related performance bottlenecks. Collaborate with development, security, and operations teams to streamline the DevSecOps process. Must-Have Skills 3+ years of experience in DevOps, cloud infrastructure, or platform engineering. Expertise in at least one major cloud provider: AWS, Azure, or GCP. Strong experience with Kubernetes, ECS, OpenShift, and container orchestration technologies. Hands-on experience in Infrastructure-as-Code (IaC) using Terraform, AWS CloudFormation, or similar tools. Proficiency in scripting/programming languages like Python, Bash, or PowerShell for automation. Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or BitBucket Pipelines. Experience with Linux operating systems (RHEL, SUSE, Ubuntu, Amazon Linux) and Windows Server administration. Expertise in networking (VPCs, Subnets, Load Balancing, Security Groups, Firewalls). Experience in log management and monitoring tools like Datadog, CloudWatch, Prometheus, ELK, Dynatrace. Strong communication skills to work with cross-functional teams and external customers. Knowledge of Cloud Security best practices, including IAM, WAF, GuardDuty, CVE scanning, vulnerability management. Good-to-Have Skills Knowledge of cloud-native security solutions (AWS Security Hub, Azure Security Center, Google Security Command Center). Experience in compliance frameworks (SOC 2, PCI, HIPAA, GDPR, HITRUST). Exposure to Windows Server administration alongside Linux environments. Familiarity with centralized logging solutions (Splunk, Fluentd, AWS OpenSearch). GitOps experience with tools like ArgoCD or Flux. Background in penetration testing, intrusion detection, and vulnerability scanning. Experience in cost optimization strategies for cloud infrastructure. Passion for mentoring teams and sharing DevOps best practices.

Role:-AWS Devops Experience:- 8-12 Years Location:- Bangalore / Mumbai Work Mode:-Hybrid About the Role: We are seeking a skilled AWS Systems Engineer to design, deploy, and maintain scalable, secure, and highly available cloud infrastructure on Amazon Web Services (AWS). The ideal candidate will have hands-on experience with AWS EKS, AWS services, automation, and DevOps best practices to optimize performance, reliability, and cost-efficiency. Key Responsibilities Design & Deployment: Architect, implement, and manage AWS cloud infrastructure (EC2, S3, VPC, Lambda, RDS, ECS/EKS, etc.). Automation & DevOps: Develop Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK. Automate deployments with CI/CD pipelines (AWS CodePipeline, GitHub Actions, Jenkins). Monitoring & Performance: Configure and maintain monitoring tools (CloudWatch, Prometheus) to ensure system reliability and performance. Security & Compliance: Implement security best practices (IAM, KMS, Security Groups, WAF) and ensure compliance with industry standards (SOC2, HIPAA, GDPR). Troubleshooting & Optimization: Identify and resolve performance bottlenecks, optimize costs, and ensure high availability (HA) and disaster recovery (DR) strategies. Collaboration: Work closely with development, DevOps, and security teams to streamline cloud operations. Required Skills and Qualification Experience: 8+ years in cloud engineering with a focus on AWS.• Technical Skills:o Proficiency in AWS services (EC2, S3, Lambda, SQS, RDS, CloudFront, IAM, etc.) Strong scripting skills (Python, Bash Infrastructure as Code (Terraform, CloudFormation) Containerization & Orchestration (Docker, Kubernetes, ECS/EKS) CI/CD pipelines (Jenkins, GitHub Actions, AWS CodePipeline) Certifications (Preferred): AWS Certified Solutions Architect Associate/Professional AWS Certified DevOps Engineer Professional• Soft Skills: Strong problem-solving, communication, and teamwork abilities. Preferred Qualifications• Experience in ArgoCD, CubeCost, fluentd• Knowledge of serverless architectures and microservices.• Familiarity with Linux/Windows administration and networking concepts. Graduate/post-graduate qualification B.Tech./BCA/MTech/BCA/ MCA

Role:-AWS Devops Experience:- 8-12 Years Location:- Bangalore / Mumbai Work Mode:-Hybrid About the Role: We are seeking a skilled AWS Systems Engineer to design, deploy, and maintain scalable, secure, and highly available cloud infrastructure on Amazon Web Services (AWS). The ideal candidate will have hands-on experience with AWS EKS, AWS services, automation, and DevOps best practices to optimize performance, reliability, and cost-efficiency. Key Responsibilities Design & Deployment: Architect, implement, and manage AWS cloud infrastructure (EC2, S3, VPC, Lambda, RDS, ECS/EKS, etc.). Automation & DevOps: Develop Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK. Automate deployments with CI/CD pipelines (AWS CodePipeline, GitHub Actions, Jenkins). Monitoring & Performance: Configure and maintain monitoring tools (CloudWatch, Prometheus) to ensure system reliability and performance. Security & Compliance: Implement security best practices (IAM, KMS, Security Groups, WAF) and ensure compliance with industry standards (SOC2, HIPAA, GDPR). Troubleshooting & Optimization: Identify and resolve performance bottlenecks, optimize costs, and ensure high availability (HA) and disaster recovery (DR) strategies. Collaboration: Work closely with development, DevOps, and security teams to streamline cloud operations. Required Skills and Qualification Experience: 8+ years in cloud engineering with a focus on AWS.• Technical Skills:o Proficiency in AWS services (EC2, S3, Lambda, SQS, RDS, CloudFront, IAM, etc.) Strong scripting skills (Python, Bash Infrastructure as Code (Terraform, CloudFormation) Containerization & Orchestration (Docker, Kubernetes, ECS/EKS) CI/CD pipelines (Jenkins, GitHub Actions, AWS CodePipeline) Certifications (Preferred): AWS Certified Solutions Architect Associate/Professional AWS Certified DevOps Engineer Professional• Soft Skills: Strong problem-solving, communication, and teamwork abilities. Preferred Qualifications• Experience in ArgoCD, CubeCost, fluentd• Knowledge of serverless architectures and microservices.• Familiarity with Linux/Windows administration and networking concepts. Graduate/post-graduate qualification B.Tech./BCA/MTech/BCA/ MCA

As a Cloud Engineer, you will utilize your extensiveCloud/ DevOpsknowledge and experience to design, develop and deploy solutions utilizing theCloud/DevOps platforms. You will work with customer service owners, process owners and various service delivery groups and participate in demos and meetings in a professional and courteous manner. TheSenior Cloud Engineer is a highly experienced subject matter expert on theCloud/ DevOps platforms with strong experience designing, developing and deploying integrations with externalthird-partytools. Roles and Responsibilities Serve as the subject matter expert (SME) for cloud platforms, including GCP, providing guidance on best practices and architectural decisions. Supporting customers with core technologies used for Managed Services offerings including but not limited to: Cloud, Automation, Terraform, CI / CD. Assist with team building through interviewing, on-boarding, and aligning technical resources. Communicate complex technical concepts effectively to both technical and non-technical stakeholders through strong communication and presentation skills . Leading the creation of documentation and written deliverables . Maintain high levels of project and situational awareness , ensuring that deliverables align with organizational goals and timelines. Provide technical leadership to junior staff in the form of coaching, mentoring, and feedback. Act as technical expert in both internal knowledge sharing as well as clientengagements. Ensure precision and accuracy in all tasks, demonstrating a strong attention to detail . Influence direct team members and external customers regarding policies, best practices, andprocedures Obtain and maintain certifications with associatedqualifications Qualifications Subject matter expert in GCP, with the ability to architect and manage multi-cloud environments. Experience with FinOps Foundation practices and tools. Knowledge of modern monitoring and observability tools such as Prometheus, Grafana, and Datadog. Advanced knowledge of IaC tools (e.g., Terraform, CloudFormation, AWS CDK), CI/CD tools (e.g., Jenkins, Python, GitLab CI/CD, AWS CodePipeline), and containerization technologies (e.g., Docker, Kubernetes). Strong knowledge of Cloud Cost Management processes and methodologies (FinOps, Harness experience a plus) Strong leadership skills (coaching, mentoring, technical leadership). Proficiency in JIRA is required , including familiarity with its features and functionality to manage workflows, track tasks, and support project management activities. Strong communication and presentation skills Strong project and situational awareness Strong attention to detail Expectations Demonstrate deep expertise on variety of technologies used within Managed Services offerings. Balancing client billing responsibilities with leadership priorities. Strive for continuous improvement through updates to processes, practices, and documentation. Ability to adapt to evolving customer requirements and changes in team workloads. Depth of knowledge and experience enables contribution in a more complex/critical environment Provide measurable input into new products, processes, standards, and / or plans Communicate with external customers, which may include senior management, on matters that require explanation, interpretation, and / or advising Drive scoping, planning, and methodology for critical projects Provide measurable input into new products, processes, standards, and / or plans

Technical Responsibilities Cloud Strategy & Architecture: Lead the design and implementation of scalable, secure, and reliable cloud infrastructure on AWS. Architect and deploy multi-tier applications in the cloud using services such as EC2, Lambda, S3, RDS, DynamoDB, and VPC. Implement a multi-cloud or hybrid cloud architecture, integrating AWS with on-premises or other cloud providers. Cloud Automation & Engineering: Oversee the automation of cloud infrastructure using Infrastructure as Code (IaC) tools like CloudFormation, Terraform, and AWS CDK. Implement continuous integration/continuous deployment (CI/CD) pipelines using Jenkins, AWS CodePipeline, and CodeBuild to ensure fast and reliable deployments. Design and manage containerized workloads using ECS, EKS (Kubernetes), and Fargate for microservices-based applications. Security & Compliance: Enforce cloud security best practices by implementing and managing IAM policies, security groups, VPC network security, AWS WAF, and other security services. Ensure compliance with industry regulations (e.g., HIPAA, GDPR, PCI-DSS) by setting up secure data protection mechanisms such as encryption, data masking, and logging. Develop strategies for cloud threat detection and incident response using AWS Security Hub, GuardDuty, and CloudTrail. Cloud Cost Optimization: Monitor cloud usage and optimize cloud infrastructure for performance and cost efficiency using tools like AWS Cost Explorer, Trusted Advisor, and Auto Scaling. Implement cloud financial management practices such as resource tagging, budget alerts, and cost analysis. Data & Analytics: Implement data pipelines, data lakes, and real-time streaming data architectures using AWS Glue, Redshift, Kinesis, and Athena to support data-driven decision-making.

Immediate Joiners Job Summary We are seeking an experienced DevOps Engineer to join our team and help us build and maintain scalable, secure, and efficient infrastructure on Amazon Web Services (AWS). The ideal candidate will have a strong background in DevOps practices, AWS services, and scripting languages. Key Responsibilities Design and Implement Infrastructure: Design and implement scalable, secure, andefficient infrastructure on AWS using services such as EC2, S3, RDS, and VPC. Automate Deployment Processes: Automate deployment processes using tools such as AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. Implement Continuous Integration and Continuous Deployment (CI/CD): Implement CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, and CircleCI. Monitor and Troubleshoot Infrastructure: Monitor and troubleshoot infrastructure issuesusing tools such as Amazon CloudWatch, AWS X-Ray, and AWS CloudTrail. Collaborate with Development Teams: Collaborate with development teams to ensuresmooth deployment of applications and infrastructure. Implement Security Best Practices: Implement security best practices and ensurecompliance with organizational security policies. Optimize Infrastructure for Cost and Performance: Optimize infrastructure for cost andperformance using tools such as AWS Cost Explorer and AWS Trusted Advisor. Requirements Education: Bachelors degree in Computer Science, Information Technology, or relatedfield. Experience: Minimum 3 years of experience in DevOps engineering, with a focus on AWSservices. Technical Skills: AWS services such as EC2, S3, RDS, VPC, and Lambda. Scripting languages such as Python, Ruby, or PowerShell. CI/CD tools such as Jenkins, GitLab CI/CD, and CircleCI. Monitoring and troubleshooting tools such as Amazon CloudWatch, AWS X-Ray, and AWS CloudTrail. Soft Skills: Excellent communication and interpersonal skills. Strong problem-solving and analytical skills. Ability to work in a team environment and collaborate with development teams. Nice to Have Certifications: AWS certifications such as AWS Certified DevOps Engineer or AWSCertified Solutions Architect. Experience with Containerization: Experience with containerization using Docker orKubernetes. Experience with Serverless Computing: Experience with serverless computing using AWSLambda or Azure Functions.

We are looking for 10 Software Engineer IIs (Data) to play a key role in delivering software products within a high-impact engineering team. You will collaborate with Product Managers, User Experience Designers, Architects, and other team members to modernize and build products aligned with the product teams vision and strategy. These products will leverage multi-cloud platforms, human-centered design, Agile, and DevOps principles to deliver industry-leading solutions at high velocity and exceptional quality. Youll be working alongside talented software engineering professionals, leading by example, mentoring others, and thriving in a fast-paced environment by embracing inclusive behaviors, demonstrating attention to detail, and navigating ambiguity. Team Overview The Data and AI enablement teams focus on accelerating end-to-end data and AI adoption across advanced analytics, product teams, and sales and operations functions. The broader team is responsible for data strategy, availability, and adoption via self-service tools, including AI model registry, activation of models for business, multichannel testing, and customer relationship measurement all in alignment with Responsible AI principles. The Sales Hub team supports seamless execution and distribution of sales transactions. It plays a pivotal role in delivering accurate data promptly, enabling better inventory management, financial planning, sales performance improvement, customer engagement, risk mitigation, and competitive advantage. Key Responsibilities Contribute to the delivery of complex solutions by breaking down big problems into smaller pieces Actively participate in team planning activities Ensure quality and integrity of the SDLC and identify opportunities to improve team practices through recommended tools and methods Triage complex issues independently Stay informed of the technology landscape and help plan delivery of broad business needs across multiple applications Set a consistent example of agile development practices and coach peers on cross-functional collaboration Mentor junior engineers and help new hires ramp up Contribute to and enhance internal libraries and tools Understand the business domain supported by your applications Proactively communicate status and issues to leadership Identify risks and challenges in your work and team deliverables Collaborate across teams to solve customer-centric problems creatively Show commitment to critical delivery deadlines Basic Qualifications 3+ years of relevant professional experience with a bachelors degree OR equivalent At least 1+ years in cloud engineering and architecture with AWS services (e.g., EC2, Lambda, S3, RDS, API Gateway, etc.) 2+ years of experience in microservices architecture using Java, Kafka, and NoSQL databases 2+ years of Java and Spring Boot development with a strong foundation in software engineering principles Experience building and deploying microservices Familiarity with CI/CD pipelines and tools such as Jenkins, GitLab CI, or AWS CodePipeline Ability to understand business problems and apply engineering design principles to solve for scalability, performance, and security Proven experience working directly with engineers, product managers, and stakeholders Strong communication and collaboration skills Preferred Qualifications Experience in omni-channel retail or sales environments Familiarity with Docker containerization and automated testing practices Passion for keeping up with new technologies and industry trends Proactive learning mindset and knowledge-sharing attitude Experience with monitoring/logging tools like Prometheus, Grafana, ELK stack, or AWS CloudWatch Understanding of security best practices in cloud environments Technical Skills (Tools, Technologies, Frameworks, Platforms) Programming Languages & Frameworks: Spring Boot Java Cloud Platforms & Services (AWS-focused): AWS EC2 AWS Lambda AWS S3 AWS RDS AWS API Gateway AWS CodePipeline AWS CloudWatch Microservices Architecture: Microservices Design & Development Service-to-service communication API design and implementation Databases: NoSQL Databases Data Streaming / Messaging Systems: Kafka DevOps & CI/CD Tools: Jenkins GitLab CI CI/CD Pipelines (general understanding and implementation) Containerization & Virtualization: Docker Monitoring and Logging Tools: Prometheus Grafana ELK Stack (Elasticsearch, Logstash, Kibana) AWS CloudWatch (mentioned above under AWS) Applied Technical Skills (Practices, Design Principles, Methodologies, etc.) Software Engineering Principles: Modular and scalable architecture Object-oriented programming (OOP) Code quality, maintainability, and reusability best practices Agile Development Methodologies: Scrum/Kanban practices Agile ceremonies (Planning, Standups, Retrospectives) DevOps Practices: Continuous Integration / Continuous Deployment Infrastructure as Code mindset System Design and Architecture: Breaking down complex systems into smaller manageable components Designing solutions that scale and perform under load Cloud Engineering & Architecture Principles: Multi-cloud awareness Designing for resilience, fault-tolerance, and cost-efficiency AI/ML Enablement (Supporting Systems, not core model development): AI model registry integration Model activation pipelines Responsible AI principles (adoption, governance) Data Engineering & Analytics Support: Data availability and strategy design Self-service data tooling enablement Multichannel testing frameworks Customer relationship measurement systems Collaboration & Communication: Working with cross-functional teams (Product, UX, Architecture) Problem-solving with cross-team dependencies Proactive communication and status reporting Quality Engineering: Automated Testing practices Ensuring high-quality software delivery through unit testing, integration testing, and regression testing Security Best Practices (Cloud-focused): Secure deployment patterns Identity and access management in cloud setups

Cloud architect resource with 8+ years experience Select appropriate AWS services to design and deploy an application based on given requirements. Implement and control the flow of data to and from AWS Identify appropriate use of AWS operational best practices. Implement security and compliance measures in accordance with AWS best practices and company policies. Provide technical guidance and support for AWS-based applications Stay up to date with the latest AWS services and advancements to leverage new technologies that benefit the company Responsibilities: Design, Design reviews, migration, Unit testing, testing support, implementation activities Required Skills: Hands-on experience with programming languages such as Oracle, Java, AWS Lambda functions Design Experience with CI/CD pipelines, e.g. AWS CodePipeline, Gitlab, etc. Strong cyber security background AWS Landing Zone, identity and Access Management Nice to have skills: Banking domain knowledge

Implement, and manage scalable, secure, and reliable AWS infrastructure using AWS CDK (Cloud Development Kit). Automate infrastructure provisioning, configuration management, and deployment processes using AWS CDK, Ansible, and Jenkins. Develop and evolve Infrastructure as Code (IaC) to ensure efficient provisioning and management of AWS resources Develop and automate Continuous Integration/Continuous Deployment (CI/CD) pipelines for infrastructure provisioning and application deployment Configure and manage various AWS services, including but not limited to EC2, VPC, Security Group, NACL, S3, CloudFormation, CloudWatch, AWS Cognito, IAM, Transit Gateway, ELB, CloudFront, Route53, and more Implement and manage security best practices, including IAM policies, security groups, and encryption. Collaborate with development teams to ensure seamless integration of applications with AWS infrastructure. Monitor and troubleshoot infrastructure performance issues, ensuring high availability and reliability 5+ years of hands-on experience in DevOps and infrastructure engineering Strong expertise in AWS services, including EC2, S3, RDS, Lambda, VPC, CloudFormation, and CloudWatch. Proficiency in infrastructure as code (IaC) tools AWS CDK Experience with CI/CD tools like Jenkins, GitLab CI, or AWS CodePipeline. Solid understanding of networking concepts, including VPC, subnets, routing, and security groups. In-depth experience with AWS storage services, certificate management and secrets management Strong scripting skills in languages such as Python, Bash, or PowerShell. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect) are a plus. Bachelors degree in computer science, Information Technology, or a related field.

Job title AWS Cloud Engineer like EC2, RDS, S3, Lambda, VPC, Route 53, IAM, CloudWatch e.g., Python, Bash, PowerShell AWS CloudFormation, or Terraform ,AWS CDK. Docker, Kubernetes EKS, ECS, Datadog, Prometheus,AWS CodePipeline,GitLab CI