Stackly-AWS DevOps Engineer

Posted 2 Days Ago
Hiring Remotely in India
Remote
Mid level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Design, implement, and maintain scalable AWS infrastructure and CI/CD pipelines. Automate provisioning (Terraform/CloudFormation/Ansible), manage containers (Docker/EKS), ensure monitoring, security, cost optimization, and disaster recovery, and collaborate with development and QA for reliable deployments.
Summary Generated by Built In

AWS DevOps Engineer

Company: Stackly

Location: [Specify – Onsite/Remote/Hybrid]
Job Overview
We are seeking a skilled AWS DevOps Engineer to design, implement, and maintain scalable, reliable, and secure cloud infrastructure. The ideal candidate will work closely with development, QA, and IT teams to streamline deployment processes, enhance CI/CD pipelines, and ensure high availability of applications in AWS environments.
Key Responsibilities
Design, implement, and maintain AWS infrastructure using services like EC2, S3, RDS, Lambda, VPC, CloudFormation, and CloudWatch.
Develop and maintain CI/CD pipelines using Jenkins, GitHub Actions, or AWS CodePipeline.
Automate infrastructure provisioning with Terraform / CloudFormation / Ansible.
Monitor, troubleshoot, and optimize application performance and system reliability.
Ensure security best practices across AWS services (IAM, KMS, Secrets Manager, etc.).
Manage containerization and orchestration with Docker and Kubernetes (EKS).
Collaborate with developers to support application deployments and continuous integration.
Implement logging, alerting, and monitoring using CloudWatch / ELK / Prometheus.
Perform cost optimization and environment scalability improvements.
Support disaster recovery, backup, and failover strategies.
Key Skills & Qualifications
Bachelor’s degree in Computer Science, IT, or related field.
2–5 years of hands-on experience as a DevOps Engineer or similar role.
Strong expertise with AWS Cloud Services and Infrastructure as Code (IaC).
Experience with CI/CD tools (Jenkins, GitLab CI, AWS CodeBuild/CodeDeploy).
Proficiency in scripting languages (Python, Bash, Shell).
Good understanding of networking, load balancing, and security groups.
Familiarity with container technologies (Docker, Kubernetes).
AWS Certification (DevOps Engineer / Solutions Architect) is a plus.
Key Performance Indicators (KPIs)
Uptime & reliability of cloud infrastructure.
Deployment frequency and success rate.
Mean time to recovery (MTTR) for production issues.
Cost optimization and resource utilization.
CI/CD pipeline efficiency and automation coverage.
> Join Stackly – where innovation meets automation. Build, deploy, and scale the future with us in the cloud.

Skills Required

  • Bachelor's degree in Computer Science, IT, or related field.
  • 2-5 years of hands-on experience as a DevOps Engineer or similar role.
  • Strong expertise with AWS Cloud Services (EC2, S3, RDS, Lambda, VPC) and Infrastructure as Code.
  • Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, AWS CodeBuild/CodeDeploy, AWS CodePipeline).
  • Proficiency in scripting languages (Python, Bash, Shell).
  • Experience automating infrastructure provisioning with Terraform, CloudFormation, or Ansible.
  • Familiarity with container technologies and orchestration (Docker, Kubernetes/EKS).
  • Experience implementing monitoring, logging, and alerting (CloudWatch, ELK, Prometheus).
  • Good understanding of networking, load balancing, security groups, and AWS security best practices (IAM, KMS, Secrets Manager).
  • Support disaster recovery, backup, and failover strategies.
  • AWS Certification (DevOps Engineer or Solutions Architect).
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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