The Role
Designs and manages scalable AWS infrastructure, enterprise CI/CD pipelines, infrastructure-as-code automation, and Kubernetes platforms. Implements observability, security, disaster recovery, cost optimization, and DevSecOps practices. Supports production incidents and on-call operations, performs root cause analysis, reduces MTTR, and mentors junior engineers while collaborating across development, QA, security, and infrastructure teams.
Summary Generated by Built In
About the Role
We are seeking an experienced and technically strong AWS DevOps Engineer with 4+ years of hands-on experience to join our engineering team. You will play a critical role in architecting and managing scalable AWS cloud platforms, driving enterprise-scale CI/CD automation, implementing Infrastructure as Code (IaC), and optimizing Kubernetes orchestration.
In this role, you will collaborate closely with development, QA, security, and infrastructure teams in a fast-paced Agile environment to ensure operational stability, optimize cloud efficiency, and strengthen security and observability across multiple environments.
What You’ll Do
- Cloud Infrastructure & Architecture: Design, build, and manage highly scalable, secure, and resilient AWS infrastructure (EC2, EKS, RDS, S3, VPC). Execute modernization initiatives, multi-account AWS IAM setups, and disaster recovery strategies.
- DevOps & CI/CD Engineering: Design and maintain enterprise-grade CI/CD pipelines using GitHub Actions, Jenkins, CircleCI, or AWS CodePipeline. Build automated deployment workflows supporting microservices with blue-green, canary, and rolling strategies.
- Infrastructure as Code & Automation: Lead IaC implementations using Terraform, Terragrunt, AWS CloudFormation, or CDK. Develop reusable modules, automate environment provisioning, configuration management, and enforce GitOps best practices.
- Containerization & Kubernetes: Manage and optimize containerized workloads using Docker and Kubernetes (EKS). Deploy and maintain clusters with Helm charts, auto-scaling, ingress controllers, and troubleshoot cluster networking and performance.
- Monitoring, Observability & Reliability: Implement enterprise observability solutions using Prometheus, Grafana, CloudWatch, OpenSearch, or ELK stack. Define alerting standards and perform root cause analysis (RCA) for critical incidents.
- Production Operations & On-Call Support: Participate in on-call support rotations to respond to high-severity production incidents, perform thorough root cause analysis (RCA), and implement long-term remediation to minimize Mean Time to Repair (MTTR).
- Cloud Cost Optimization & FinOps: Proactively monitor and optimize AWS cloud expenditure by applying resource right-sizing, cost-allocation tagging, spot/reserved instance strategies, and lifecycle management policies.
- Security & Compliance: Implement DevSecOps practices, managing IAM policies, secrets management, encryption, and integrating security scanners (Trivy, SonarQube, Checkov) into CI/CD pipelines.
- Collaboration & Leadership: Mentor junior DevOps engineers, promote an automation culture, participate in architecture reviews, capacity planning, and drive continuous delivery improvements.
Qualifications & Requirements
- Experience: 4+ years of dedicated hands-on experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering (SRE).
- AWS Expertise: Deep experience with AWS core services including EC2, ECS, EKS, Lambda, VPC, Route53, RDS, S3, IAM, and CloudWatch.
- Infrastructure as Code: Strong hands-on expertise in Terraform, Terragrunt, Ansible, and automated infrastructure lifecycle management.
- CI/CD & Automation: Proven track record of building complex CI/CD workflows using GitHub Actions, Jenkins, CircleCI, or AWS DevOps tools.
- Containers & Kubernetes: Solid proficiency in Docker, Kubernetes (EKS), Helm charts, auto-scaling, and container networking.
- Operations & Reliability: Hands-on experience in production on-call support, incident troubleshooting, RCA execution, and MTTR reduction.
- Scripting & Systems: Strong Linux system administration and scripting skills in Bash or Python (Golang is a plus).
- Observability: Experience setting up monitoring, logging, and alerting using Prometheus, Grafana, CloudWatch, and ELK/OpenSearch.
- Cost Optimization: Practical knowledge of FinOps practices, resource right-sizing, cost tagging, and AWS billing optimization tools.
Preferred Skills (Nice-to-Have)
- Certifications: AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect.
- GitOps & Service Mesh: Hands-on experience with ArgoCD, FluxCD, or service mesh technologies (Istio/Linkerd).
- Data & Messaging: Familiarity with caching and messaging systems (Redis, Kafka, RabbitMQ) and databases (PostgreSQL, DynamoDB, MongoDB).
- Practices: Exposure to SRE principles (SLIs/SLOs, error budgets) and security tools (Artifactory, Checkov).
Skills Required
- 4+ years of hands-on experience in DevOps, cloud infrastructure, or Site Reliability Engineering
- Deep experience with AWS services including EC2, ECS, EKS, Lambda, VPC, Route 53, RDS, S3, IAM, and CloudWatch
- Strong hands-on expertise in Terraform, Terragrunt, Ansible, and infrastructure lifecycle automation
- Experience building complex CI/CD workflows using GitHub Actions, Jenkins, CircleCI, or AWS DevOps tools
- Proficiency in Docker, Kubernetes, EKS, Helm charts, autoscaling, and container networking
- Experience with production on-call support, incident troubleshooting, root cause analysis, and MTTR reduction
- Strong Linux system administration and scripting skills in Bash or Python
- Experience with monitoring, logging, and alerting using Prometheus, Grafana, CloudWatch, and ELK or OpenSearch
- Knowledge of FinOps practices, resource rightsizing, cost tagging, and AWS billing optimization
- AWS Certified DevOps Engineer Professional or AWS Certified Solutions Architect
- Experience with ArgoCD, FluxCD, or service mesh technologies such as Istio or Linkerd
- Familiarity with Redis, Kafka, RabbitMQ, PostgreSQL, DynamoDB, or MongoDB
- Exposure to SRE principles including SLIs, SLOs, and error budgets
- Experience with Artifactory and Checkov
- Golang experience
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
DataBeat helps enterprises and publishers navigate data analytics and ad technology through advanced analytics, programmatic advertising, and ad-operations support. Its capabilities include big-data engineering, data visualization, and yield optimization, helping clients turn data into actionable, ROI-boosting insights and improve advertising performance. The Princeton-based company provides media, advertising, and analytics solutions across complex, data-driven digital ecosystems for business customers and enterprise teams worldwide.
