aws cloud engineer

LIGHTFEATHER IO LLC

<div>LightFeather is seeking a AWS Cloud Engineer who will be responsible for designing, deploying, and optimizing cloud-based infrastructure within Amazon Web Services (AWS). This role requires expertise in AWS architecture, automation, security best practices, and DevOps methodologies. The ideal candidate will work closely with cross-functional teams to ensure cloud systems are secure, scalable, and compliant with federal standards.

This role offers the opportunity to support high-impact cloud modernization projects within the federal sector, ensuring secure and efficient AWS platform operations.
<ul>
<li>Location: In-Person (5 days/week) in Washington, DC 20036</li>
<li>Job Type: Full Time</li>
<li>Citizenship: U.S. Citizenship Required</li>
<li>Clearance Requirement: Willing to obtain a security clearance</li>
</ul><h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Cloud Infrastructure Management: Design, implement, and maintain AWS cloud infrastructure using EC2, VPC, RDS, S3, EBS, and IAM.</li>
<li>Infrastructure as Code (IaC): Automate AWS resource provisioning and configuration using Terraform, CloudFormation, and Ansible.</li>
<li>Security &amp; Compliance: Implement cloud security best practices, including IAM roles, AWS Shield, AWS Macie, encryption, and FedRAMP compliance.</li>
<li>CI/CD Pipeline Management: Develop and manage CI/CD pipelines using GitLab, Jenkins, and AWS CodePipeline to streamline deployments.</li>
<li>Monitoring &amp; Optimization: Utilize AWS CloudWatch, CloudTrail, and Log Insights to track system health, troubleshoot issues, and enhance performance.</li>
<li>Networking &amp; Load Balancing: Configure and optimize AWS VPCs, Route 53, Elastic Load Balancers (ELB), and AWS Direct Connect.</li>
<li>Hybrid Cloud &amp; Migration: Support AWS cloud migrations and hybrid environments, integrating with on-premises and multi-cloud architectures.</li>
<li>Automation &amp; Scripting: Develop automation scripts using Python, PowerShell, and Bash to improve efficiency and reduce manual workload.</li>
<li>Disaster Recovery &amp; Backup Solutions: Implement AWS backup strategies, including S3 lifecycle policies, AWS Backup, and snapshot automation.</li>
<li>Stakeholder Collaboration: Work closely with government agencies, DevOps teams, and security engineers to align AWS solutions with mission objectives.</li>
</ul><h3 class="jobSectionHeader">Required Qualifications</h3>
<ul><li>US Citizenship.</li>
<li>Willing to obtain a security clearance.</li>
<li>Minimum 5+ years of experience in cloud engineering, DevOps, or systems administration, with a strong focus on AWS environments.</li>
<li>Certifications: AWS Certified Solutions Architect &ndash; Associate (Preferred) or equivalent AWS certification.</li>
<li>Cloud Security &amp; Compliance: Strong knowledge of AWS IAM, encryption, security monitoring, and compliance frameworks (FedRAMP, NIST, DoD security standards).</li>
<li>DevOps &amp; Automation: Hands-on experience with Terraform, Ansible, Jenkins, GitHub, and AWS DevOps services.</li>
<li>Multi-Cloud &amp; Hybrid Cloud Experience: Experience working in multi-cloud and hybrid environments integrating AWS, Azure, and on-premise infrastructure.</li>
<li>Networking Expertise: Strong proficiency in AWS networking services (VPC, Route 53, VPN, Direct Connect, and ELB).</li>
<li>Scripting &amp; Automation: Proficiency in Python, PowerShell, Bash, and YAML/JSON for cloud automation and system management.</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Experience supporting federal agencies or DoD cloud environments.</li>
<li>Hands-on experience with AWS Lambda, Kubernetes (EKS), and microservices architecture.</li>
<li>Strong problem-solving and analytical skills for troubleshooting cloud environments.</li>
</ul><h3 class="jobSectionHeader">Why Join LightFeather?</h3>

At LightFeather, you're not just taking a job&mdash;you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.</div>

AWS Cloud Engineer

<div>LightFeather is seeking a Senior AWS Cloud Engineer to lead the design, implementation, and optimization of AWS-based infrastructure. This role requires a seasoned engineer with deep expertise in AWS environments, DevOps practices, cloud security, and automation, capable of driving cloud modernization and guiding teams through mission-critical federal projects.

This role provides the opportunity to lead high-impact cloud transformation initiatives in the federal sector, ensuring secure, efficient, and scalable AWS platform solutions.
<ul>
<li>Location: In-Person (5 days/week) in Washington, DC 20036</li>
<li>Job Type: Full Time</li>
<li>Citizenship: U.S. Citizenship Required</li>
<li>Clearance Requirement: Active Secret or higher clearance</li>
</ul>
Responsibilities:
<ul>
<li>Cloud Architecture &amp; Strategy: Design and implement scalable, resilient, and high-performance AWS environments for enterprise applications.</li>
<li>Technical Leadership &amp; Mentorship: Lead a team of cloud engineers, providing guidance on AWS best practices, DevOps strategies, and cloud security frameworks.</li>
<li>Infrastructure as Code (IaC): Develop and manage AWS infrastructure using Terraform, CloudFormation, and Ansible to automate provisioning and configuration.</li>
<li>Security &amp; Compliance: Enforce AWS security best practices, including IAM policies, AWS Shield, AWS Macie, encryption, and FedRAMP compliance.</li>
<li>CI/CD Pipeline Management: Oversee CI/CD processes using GitLab, Jenkins, AWS CodePipeline, and AWS CodeDeploy for automated deployments.</li>
<li>Cloud Monitoring &amp; Optimization: Utilize AWS CloudWatch, CloudTrail, and AWS Security Hub to track system health, optimize performance, and detect anomalies.</li>
<li>Multi-Cloud &amp; Hybrid Cloud Solutions: Support hybrid and cross-cloud environments, ensuring seamless integration between AWS, Azure, and on-premise systems.</li>
<li>Networking &amp; Load Balancing: Configure VPCs, Route 53, Elastic Load Balancers (ELB), and AWS Direct Connect for secure, high-performance cloud networking.</li>
<li>Disaster Recovery &amp; High Availability: Implement AWS backup, disaster recovery, and multi-region failover strategies to enhance system resilience.</li>
<li>Stakeholder &amp; Client Engagement: Work closely with government agencies, security teams, and cloud engineers to ensure alignment with business and security objectives.</li>
<li>Automation &amp; DevSecOps: Develop and implement automated security monitoring, logging, and compliance reporting solutions.</li>
</ul>
Required Qualifications and Skills:
<ul>
<li>US Citizenship.</li>
<li>Active Secret or higher clearance</li>
<li>Minimum 5+ years of experience in cloud engineering, DevOps, or technical leadership, with a strong focus on AWS cloud environments.</li>
<li>Certifications: AWS Certified Solutions Architect &ndash; Professional (or equivalent AWS certification preferred).</li>
<li>Cloud Security &amp; Compliance: Deep understanding of AWS security tools, IAM best practices, encryption standards, and DoD/Federal compliance frameworks (FedRAMP, NIST, RMF, Zero Trust Architecture).</li>
<li>Technical Tool Proficiency: Strong expertise in Terraform, Ansible, Kubernetes, AWS Lambda, and AWS DevOps services.</li>
<li>Multi-Cloud &amp; Hybrid Cloud Knowledge: Experience integrating AWS solutions with Azure and GCP environments.</li>
<li>Scripting &amp; Automation: Strong proficiency in Python, PowerShell, Bash, and YAML/JSON for automation and cloud management.</li>
</ul>
Preferred:
<ul>
<li>Experience working with federal agencies or DoD cloud modernization projects.</li>
<li>Knowledge of AWS AI/ML services, container orchestration (EKS), and serverless architectures.</li>
<li>Expertise in cloud cost optimization and performance tuning strategies.</li>
</ul>
Why Join LightFeather? 
At LightFeather, you're not just taking a job&mdash;you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.</div>

Senior AWS Cloud Engineer

cyber hospitality private limited

Work Model: Office (On-Site)Experience Window: 4 to 6 yearsLocation: VadodaraAs a Cloud Engineer, you will be responsible for managing, deploying, and optimizing our hybrid infrastructure &mdash; spanning on-prem Linux servers and GCP cloud environments. You will design scalable architectures, implement DevOps practices, ensure security and reliability, and collaborate closely with development and operations teams.Experience with AWS, DevOps tools, and Google PCA certification will be a strong advantage.Key Responsibilities:&#9679; Design, deploy, and manage scalable, secure, and cost-efficient infrastructure on Google Cloud Platform (GCP).&#9679; Manage and maintain on-prem Linux servers including system updates, performance tuning, and troubleshooting.&#9679; Implement and manage CI/CD pipelines (Jenkins, GitLab CI/CD, or GitHub Actions).&#9679; Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.&#9679; Set up and maintain monitoring, logging, and alerting systems using tools like Prometheus, Grafana, Stackdriver (Cloud Monitoring), or ELK Stack.&#9679; Manage networking, firewall rules, load balancers, and VPN connectivity between on-prem and cloud environments.&#9679; Ensure security, compliance, and identity management across infrastructure using IAM policies and least-privilege principles.&#9679; Optimize performance and costs for compute, storage, and network resources.&#9679; Collaborate with development teams to deploy and manage applications in containerized environments using Docker and Kubernetes (GKE or EKS).&#9679; Provide technical documentation, disaster recovery strategies, and contribute to infrastructure automation initiatives.Required Skills &amp; Qualifications &#9679; 4&ndash;6 years of hands-on experience as a Cloud or Systems Engineer.&#9679; Proven expertise in Google Cloud Platform (GCP) &mdash; Compute Engine, Cloud Storage, VPC, IAM, Cloud SQL, Cloud Run, Pub/Sub, and Cloud Monitoring.&#9679; Strong proficiency in Linux (Ubuntu/CentOS) administration &mdash; shell scripting, performance tuning, package management, and system hardening.&#9679; Working knowledge of CI/CD pipelines, Git, and infrastructure-as-code (Terraform).&#9679; Experience managing hybrid or multi-cloud infrastructure.&#9679; Familiarity with containerization (Docker, Kubernetes) and microservices architecture.&#9679; Understanding of networking concepts (DNS, VPN, routing, firewalls, load balancing).&#9679; Knowledge of security best practices for cloud and on-prem environments.&#9679; Strong troubleshooting and problem-solving abilities.&#9679; Excellent communication and collaboration skills.Job Type: Full-timeExperience:<ul><li>AWS CloudFormation: 4 years (Preferred)</li><li>Google Cloud Platform: 4 years (Preferred)</li><li>DevOps: 4 years (Preferred)</li></ul>Location:<ul><li>Vadodara, Gujarat (Preferred)</li></ul>Work Location: In person

<div>LightFeather is seeking a Lead Cloud Engineer &ndash; AWS will oversee the design, implementation, and optimization of AWS-based infrastructure, ensuring security, scalability, and compliance with federal regulations. This role requires strong leadership, expertise in AWS architecture, DevOps practices, cloud security, and automation, as well as the ability to guide teams in deploying and managing cloud solutions for mission-critical government operations.

This role provides the opportunity to lead high-impact cloud transformation initiatives in the federal sector, ensuring secure, efficient, and scalable AWS platform solutions.
<ul>
<li>Location: In-Person (5 days/week) in Washington, DC 20036</li>
<li>Job Type: Full Time</li>
<li>Citizenship: U.S. Citizenship Required</li>
<li>Clearance Requirement: Active Secret or higher clearance</li>
</ul>
Responsibilities:
<ul>
<li>Cloud Architecture &amp; Strategy: Design and implement scalable, resilient, and high-performance AWS environments for enterprise applications.</li>
<li>Technical Leadership &amp; Mentorship: Lead a team of cloud engineers, providing guidance on AWS best practices, DevOps strategies, and cloud security frameworks.</li>
<li>Infrastructure as Code (IaC): Develop and manage AWS infrastructure using Terraform, CloudFormation, and Ansible to automate provisioning and configuration.</li>
<li>Security &amp; Compliance: Enforce AWS security best practices, including IAM policies, AWS Shield, AWS Macie, encryption, and FedRAMP compliance.</li>
<li>CI/CD Pipeline Management: Oversee CI/CD processes using GitLab, Jenkins, AWS CodePipeline, and AWS CodeDeploy for automated deployments.</li>
<li>Cloud Monitoring &amp; Optimization: Utilize AWS CloudWatch, CloudTrail, and AWS Security Hub to track system health, optimize performance, and detect anomalies.</li>
<li>Multi-Cloud &amp; Hybrid Cloud Solutions: Support hybrid and cross-cloud environments, ensuring seamless integration between AWS, Azure, and on-premise systems.</li>
<li>Networking &amp; Load Balancing: Configure VPCs, Route 53, Elastic Load Balancers (ELB), and AWS Direct Connect for secure, high-performance cloud networking.</li>
<li>Disaster Recovery &amp; High Availability: Implement AWS backup, disaster recovery, and multi-region failover strategies to enhance system resilience.</li>
<li>Stakeholder &amp; Client Engagement: Work closely with government agencies, security teams, and cloud engineers to ensure alignment with business and security objectives.</li>
<li>Automation &amp; DevSecOps: Develop and implement automated security monitoring, logging, and compliance reporting solutions.</li>
</ul>
Required Qualifications and Skills:
<ul>
<li>US Citizenship.</li>
<li>Active Secret or higher clearance</li>
<li>Minimum 7+ years of experience in cloud engineering, DevOps, or technical leadership, with a strong focus on AWS cloud environments.</li>
<li>Certifications: AWS Certified Solutions Architect &ndash; Professional (or equivalent AWS certification preferred).</li>
<li>Cloud Security &amp; Compliance: Deep understanding of AWS security tools, IAM best practices, encryption standards, and DoD/Federal compliance frameworks (FedRAMP, NIST, RMF, Zero Trust Architecture).</li>
<li>Technical Tool Proficiency: Strong expertise in Terraform, Ansible, Kubernetes, AWS Lambda, and AWS DevOps services.</li>
<li>Multi-Cloud &amp; Hybrid Cloud Knowledge: Experience integrating AWS solutions with Azure and GCP environments.</li>
<li>Scripting &amp; Automation: Strong proficiency in Python, PowerShell, Bash, and YAML/JSON for automation and cloud management.</li>
</ul>
Preferred:
<ul>
<li>Experience working with federal agencies or DoD cloud modernization projects.</li>
<li>Knowledge of AWS AI/ML services, container orchestration (EKS), and serverless architectures.</li>
<li>Expertise in cloud cost optimization and performance tuning strategies.</li>
</ul>
Why Join LightFeather? 
At LightFeather, you're not just taking a job&mdash;you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.</div>

AWS Lead Cloud Engineer

<div></div><div><div><div><div><ul><div>5 - 7 Years</div>
<div></div><div>1 Opening</div>
 <div>Hyderabad</div></ul></div><div> 
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader">Role description</h3>
<div>Job Title:

Cloud Infrastructure Engineer (AWS / Terraform / CDK / Active Directory)

Location:

[Insert Location or &ldquo;Remote / Hybrid&rdquo;]

Experience:

5&ndash;10 Years

Job Type:

Full-Time | [Permanent / Contract]

Job Summary:

We are seeking a highly skilled and experienced Cloud Infrastructure Engineer with a strong background in AWS cloud services, Infrastructure as Code (IaC), and Enterprise IT operations. This role requires 5&ndash;10 years of hands-on experience managing cloud-native infrastructure, with a particular focus on Terraform, AWS CDK, Kubernetes, and Active Directory in hybrid cloud environments.

You will be responsible for designing, building, and maintaining robust, scalable, and secure infrastructure while enabling DevOps best practices, CI/CD automation, and infrastructure monitoring.

Key Responsibilities:
<ul>
<li>Design, implement, and manage infrastructure on AWS, using Terraform or AWS CDK following GitOps/IaC principles.
</li>
<li>Manage Kubernetes clusters and containerized workloads at scale using orchestration tools and best practices.
</li>
<li>Build and maintain CI/CD pipelines using tools such as Jenkins or Git-based alternatives.
</li>
<li>Develop monitoring and ing dashboards using tools such as New Relic, Dynatrace, CloudWatch, or Prometheus/Grafana.
</li>
<li>Manage Windows and Linux operating systems in cloud and on-premise environments.
</li>
<li>Oversee networking configurations including IP addressing, DNS, routing, firewalls, load balancers, and WAFs.
</li>
<li>Maintain and administer Active Directory, preferably with experience in Microsoft AD, ADFS, and identity federation.
</li>
<li>Support application deployment and infrastructure requirements in Agile development environments.
</li>
<li>Collaborate with development and security teams to ensure system reliability, security, and performance.
</li>
</ul>Required Technical Skills &amp; Knowledge:
<ul>
<li>5&ndash;10 years of experience with AWS Cloud Platform (EC2, S3, VPC, IAM, CloudFormation, CloudWatch, etc.).
</li>
<li>5+ years working with Kubernetes and container orchestration platforms (EKS, AKS, OpenShift, etc.).
</li>
<li>Deep expertise in Infrastructure as Code using Terraform or AWS CDK.
</li>
<li>Strong background in building and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).
</li>
<li>Experience with monitoring and observability tools (New Relic, Dynatrace, or similar).
</li>
<li>Proven ability to manage and support Windows and Linux servers at scale.
</li>
<li>Solid understanding of core networking concepts: IP addressing, subnetting, DNS, firewalls, WAFs, load balancers.
</li>
<li>Hands-on experience managing Active Directory, ADFS, and related identity solutions.
</li>
<li>Working knowledge of Agile practices, DevOps methodologies, and secure infrastructure delivery.
</li>
</ul>Desirable Skills (Nice to Have):
<ul>
<li>Exposure to databases, especially Microsoft SQL Server (MSSQL).
</li>
<li>Familiarity with AI tools and their application in infrastructure and change delivery.
</li>
<li>Experience developing internal tools or automation scripts in .NET (C#).
</li>
<li>Strong understanding of application testing methods (unit, integration, performance, vulnerability).
</li>
</ul>Soft Skills:
<ul>
<li>Strong analytical and troubleshooting skills.
</li>
<li>Excellent communication and collaboration with cross-functional teams.
</li>
<li>Proactive mindset with a focus on continuous improvement and automation.
</li>
</ul></div><h3 class="jobSectionHeader">Skills</h3>
<div>Primary AWS,Terraform,AWS,CDK,Active Directory</div></div></div></div>
 <div><h3 class="jobSectionHeader">About UST</h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Lead I -Devops

HireWand Technologies

The AWS Data Engineer will design, develop, and maintain scalable data pipelines and architectures using AWS Glue, Amazon Redshift, AWS Lambda, and Amazon S3. This role requires expertise in AWS Kinesis, AWS CloudFormation, Apache Spark, Python, and AWS IAM to ensure secure and efficient data processing. The candidate will leverage AWS Data Pipeline, AWS Athena, Docker, Terraform, and Apache Airflow to automate workflows and optimize data integration. Proficiency in AWS CloudWatch, Scala, SQL, PySpark, CI/CD, and DevOps practices is essential for monitoring and continuous improvement.
 
Strong problem-solving skills and critical thinking will drive innovative solutions to complex data challenges. Effective communication and collaboration are vital for working with cross-functional teams and stakeholders. Attention to detail and time management will ensure timely delivery of high-quality data solutions. Adaptability and project management skills will support evolving business needs and technology landscapes.
 
Responsibilities: Demonstrate expert knowledge in AWS Glue, Amazon Redshift, AWS Lambda, Amazon S3, and Apache Spark to build and optimize data solutions. Design, implement, and maintain robust data pipelines and ETL processes using AWS Data Pipeline, Apache Airflow, and Python to support analytics and reporting. Develop infrastructure as code using AWS CloudFormation and Terraform to automate deployment and ensure scalable cloud environments. Monitor data workflows and system performance with AWS CloudWatch and implement CI/CD pipelines to enhance deployment efficiency and reliability.
 
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights. Apply best practices in AWS IAM for secure access control and compliance across data platforms and services. Manage containerized applications using Docker and integrate DevOps methodologies to streamline development and operational processes. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field is required.,Candidates must have 5-8 years of professional experience in data engineering with a focus on AWS technologies.,Proven experience in designing and managing cloud-based data infrastructure and pipelines is essential.
 
We invite skilled AWS Data Engineers with 5-8 years of experience and expertise in AWS Glue, Redshift, Lambda, and related technologies to join our team. Candidates should excel in problem solving, effective communication, and project management to drive innovative data solutions in a collaborative and dynamic environment.

AWS Data Engineer

Cognizant Technology Solutions

<div>Skills- AWS +Pyspark
Experience: 4 to 9 years
Location: AIA-Pune
As an AWS Data Engineer, you will design, build, and manage robust data pipelines on the AWS cloud platform. You will leverage your expertise in AWS data services and programming languages to ingest, process, transform, and store data efficiently, enabling data-driven insights and decision-making.
Key Responsibilities :
<ul><li>Data Pipeline Development: Design, implement, and maintain scalable data pipelines using AWS services such as S3, Glue, Lambda, EMR, and Kinesis.</li><li>Data Processing and Transformation: Utilize PySpark, Spark, and SQL to perform complex data transformations and aggregations on large datasets within the AWS ecosystem.</li><li>Data Storage and Management: Design and implement data storage solutions using Amazon S3, RDS, DynamoDB, and Redshift, ensuring data quality, integrity, and accessibility.</li><li>Data Modeling and Warehousing: Develop and maintain data models to support analytics and reporting, leveraging Redshift as the data warehousing solution.</li><li>Infrastructure and Cloud Technologies: Provision and manage scalable data infrastructure using EC2, VPC, IAM, CloudFormation, and other relevant AWS services.</li><li>Performance Optimization and Monitoring: Continuously monitor and optimize data pipelines and systems using CloudWatch, identifying and resolving performance bottlenecks.</li><li>Collaboration and Knowledge Sharing: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide technical guidance.</li></ul>
Qualifications :
<ul><li>Proficiency in Python, SQL, PySpark, and Spark.</li><li>Strong expertise in AWS data services (S3, Glue, Lambda, EMR, Redshift, DynamoDB, RDS).</li><li>Experience with data warehousing, ETL processes, and data modeling.</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul></div>

AWS + Pyspark

Search 10000+ Aws cloud engineer jobs near you this October. New roles added regularly across leading industries. Apply today.

10000 aws cloud engineer jobs NEAR_ME

AWS Cloud Engineer

Senior AWS Cloud Engineer

AWS Cloud Engineer

AWS Lead Cloud Engineer

Lead I -Devops

AWS Data Engineer

AWS + Pyspark