Appops Engineer

Role: Appops Engineer

Location: Berkley Heights, NJ

Duration: 12+ months contract

Role Overview

We are looking for an experienced Senior AppOps / DevOps Engineer to design, automate, and optimize our cloud-native infrastructure and CI/CD pipelines. The role requires strong hands-on experience with AWS Cloud, Jenkins, Docker, Kubernetes, Helm charts, and Kafka. The ideal candidate will be responsible for building reliable, scalable, and secure DevOps practices that support enterprise-grade applications.

Key Responsibilities

Cloud Infrastructure (AWS)

Architect, provision, and manage cloud infrastructure using AWS services (EC2, ECS/EKS, S3, RDS, VPC, IAM, CloudFormation/Terraform).

Implement monitoring, logging, and alerting solutions (CloudWatch, ELK/EFK, Prometheus, Grafana).

CI/CD Automation

Design and maintain Jenkins pipelines for build, test, and deployment automation.

Integrate CI/CD with GitHub/GitLab for automated delivery.

Containerization & Orchestration

Build, optimize, and manage Docker images and containers.

Deploy and manage applications in Kubernetes clusters (EKS, self-managed, or on-prem).

Automate deployments using Helm charts.

Event Streaming & Middleware

Deploy, configure, and manage Apache Kafka clusters on cloud or Kubernetes.

Ensure reliability, high availability, and monitoring of Kafka topics and consumers.

Automation & Reliability

Implement Infrastructure-as-Code (Terraform, AWS CDK, CloudFormation).

Drive site reliability practices (scaling, resilience, high availability).

Perform root cause analysis and optimize system performance.

Collaboration & Leadership

Work closely with developers, architects, and QA to ensure seamless DevOps adoption.

Mentor junior DevOps engineers and establish best practices.

Required Skills & Experience

8 12 years of professional experience in DevOps, Cloud, and Infrastructure Automation.

Strong expertise in AWS Cloud services (EC2, EKS, S3, RDS, IAM, VPC, Lambda).

Hands-on experience with Jenkins pipelines, Docker, Kubernetes, and Helm charts.

Proficiency in Kafka administration and monitoring.

Strong scripting skills (Python, Bash, or Shell).

Familiarity with monitoring & observability stacks (Prometheus, Grafana, ELK/EFK, dynatrace).

Experience with GitOps/Infra-as-Code using Terraform or CloudFormation.

Good to Have

Knowledge of service mesh (Istio/Linkerd) and API gateways.

Experience with security and compliance in DevOps (OAuth2, SSL, IAM policies).

Exposure to serverless frameworks (AWS Lambda, Step Functions).

Knowledge of CI/CD in hybrid cloud or multi-cloud environments.