DevOps/Site Reliability Engineer

Baanyan Software Services, Inc.

Edison, NJ, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Compensation

$40,000.0 - $45,000.0

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Apache ActiveMQ Agile Methodology Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Microsoft Azure Bash Shell Unix Cloud Computing Cloud Engineering Computer Networks

+58 more

Continuous Integration Cursor (Graphical User Interface Elements) Linux DevOps Disaster Recovery Domain Name System (DNS) Github Revision Control Systems Monitoring of Systems Identity and Access Management Virtual Private Networks (VPN) Python (Programming Language) Enterprise Messaging Systems Windows Servers OpenShift Windows PowerShell RabbitMQ Reliability Engineering Ansible Prometheus Shell Script Vault (Revision Control System) Datadog Data Logging Transport Layer Security Google Cloud Load Balancing GitHub Copilot Istio System Availability Grafana Kubernetes Helm Charts Software Troubleshooting Amazon Virtual Private Cloud (VPC) Gitlab Git Cloudformation Amazon Relational Database Service Containerization Gitlab-ci Kubernetes Infrastructure Automation Frameworks Apache Kafka Linkerd (Service Mesh) Bitbucket Cloudwatch Terraform Splunk New Relic (SaaS) GPT Software Version Control Dynatrace Devsecops Docker Security Orchestration, Automation & Response Elk Stack Jenkins Vulnerability Analysis

Job description

Design, implement, and maintain scalable, highly available, and secure cloud infrastructure.
Automate infrastructure provisioning, deployment, monitoring, and incident response processes.
Build and manage CI/CD pipelines for application deployments across multiple environments.
Manage containerized workloads using Docker and Kubernetes in cloud-native environments.
Collaborate with development, QA, and security teams to improve software delivery and operational excellence.
Monitor system performance, troubleshoot production issues, and ensure high availability and reliability.
Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
Manage logging, monitoring, alerting, and observability platforms.
Ensure security, compliance, and best practices across cloud and infrastructure environments.
Participate in on-call rotations and incident management activities.
Optimize cloud infrastructure costs and improve system performance.

Requirements

Do you have experience in Version control?, * 7+ years of hands-on experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering.

Strong experience with AWS, Azure, or Google Cloud Platform (GCP).
Expertise in Kubernetes and Docker containerization technologies.
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, Ansible).
Strong experience building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
Experience with Linux/Unix administration and shell scripting (Bash, Python).
Strong understanding of networking concepts, load balancing, DNS, SSL/TLS, VPNs, and security best practices.
Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, ELK Stack, Splunk, New Relic, or Dynatrace.
Experience with source control systems such as Git and GitHub/GitLab.
Strong troubleshooting, incident management, and root cause analysis skills.
Experience supporting highly available, distributed production systems.
Familiarity with Agile and DevOps methodologies.

Preferred Skills:

Experience with service mesh technologies such as Istio or Linkerd.
Experience with Kubernetes Operators and Helm Charts.
Knowledge of AWS EKS, ECS, Lambda, EC2, RDS, S3, CloudWatch, IAM, and VPC.
Experience implementing DevSecOps practices and security automation.
Familiarity with SRE principles, including SLI, SLO, SLA, error budgets, and reliability engineering.
Experience with Kafka, RabbitMQ, or other messaging platforms.
Hands-on experience with disaster recovery, backup strategies, and business continuity planning.
Certifications such as AWS Certified DevOps Engineer, AWS Solutions Architect, CKA, CKAD, or Terraform Associate.
Experience using AI-powered development and operations tools such as GitHub Copilot, Windsurf, Cursor AI, Amazon Q, ChatGPT, and AI-driven observability platforms.

Technologies:

Cloud: AWS, Azure, GCP Containers: Docker, Kubernetes, OpenShift CI/CD: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps IaC: Terraform, CloudFormation, Ansible Monitoring: Prometheus, Grafana, Datadog, Splunk, ELK Stack, New Relic Scripting: Python, Bash, PowerShell Source Control: Git, GitHub, GitLab, Bitbucket Operating Systems: Linux, Unix, Windows Server Messaging: Kafka, RabbitMQ, ActiveMQ Security: IAM, Vault, DevSecOps, Security Scanning Tools