AWS DevOps Engineer/SRE DevOps with AWS
Posted Updated
Summary
Onsite AWS DevOps Engineer/SRE in Syracuse, NY who builds and manages AWS cloud infrastructure, automates provisioning and deployments with Terraform/Ansible, maintains CI/CD pipelines, runs Kubernetes/Docker platforms, and handles monitoring, incident response, and security hardening. Nice-to-haves include AI/ML tooling and Azure/GCP.
Job: AWS DevOps Engineer
Location: Syracuse, NY-Onsite
Required Skills
- AWS (EKS, EC2, S3, IAM, VPC, CloudWatch)
- Kubernetes, Docker, Helm, ECS/OpenShift
- Terraform, Ansible
- Jenkins, GitHub Actions, Spinnaker
- Prometheus, Grafana, Datadog, Splunk
- Python, Bash, PowerShell
- Git, GitHub, BitBucket
- Production Support, Incident Management, RCA
- IAM, Security Hardening, Certificate Management
Responsibilities
- Build and manage AWS cloud infrastructure.
- Automate infrastructure provisioning and deployments.
- Develop and maintain CI/CD pipelines.
- Manage Kubernetes-based container platforms.
- Monitor, troubleshoot, and optimize production environments.
- Implement security best practices and platform reliability initiatives.
- Support incident response, root cause analysis, and performance tuning.
Nice to Have
- Agentic AI, RAG, LangGraph
- LLM APIs, Prompt Engineering, MCP
- MLflow, Kubeflow, PyTorch, TensorFlow
- Azure, GCP
- SQL, MongoDB, Cassandra
- SRE, GitOps, Agile/Scrum experience
Skills
- Agentic AI
- Agile
- AI
- Ansible
- API
- AWS
- Azure
- Bash
- Bitbucket
- Cassandra
- CI/CD
- Cloud
- CloudWatch
- Datadog
- DevOps
- Docker
- EC2
- ECS
- EKS
- GCP
- Git
- GitHub
- GitHub Actions
- GitOps
- Grafana
- Helm
- IAM
- Jenkins
- Kubeflow
- Kubernetes
- LangGraph
- LLM
- MCP
- MLflow
- MongoDB
- OpenShift
- PowerShell
- Prometheus
- Prompt Engineering
- Python
- PyTorch
- Root Cause Analysis
- S3
- Scrum
- Splunk
- SQL
- SRE
- TensorFlow
- Terraform
- VPC