Senior Node.js Developer

Wise Skulls llc
Pittsburgh, PA, United States
1 day ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Bash Shell Code Review Linux DevOps Github Identity and Access Management Python (Programming Language) Key Management
+29 more
Node.Js Octopus Deploy Performance Tuning Role-Based Access Control Prometheus SSL Certificate Management Scripting Transport Layer Security Load Balancing Autoscaling System Availability Large Language Models Grafana Prompt Engineering Software Troubleshooting Amazon Virtual Private Cloud (VPC) Agentic-AI Build Management Deployment Automation Route53 Claude Cloudwatch Model Context Protocol Terraform Agent SDK Splunk Software Version Control Devsecops Docker

Job description

  • Design, deploy, and operate containerized workloads on Docker and Kubernetes, primarily on Amazon EKS.
  • Provision and manage AWS infrastructure as code with Terraform, using reusable modules and sound state management.
  • Build and maintain CI/CD pipelines (GitHub Actions or similar) for fast, safe, repeatable releases.
  • Own reliability: define SLIs/SLOs, manage error budgets, lead incident response, and write blameless postmortems.
  • Configure and manage load balancers (AWS ALB/NLB, ingress controllers) for high availability and traffic management.
  • Manage the security certificate lifecycle: issuance, renewal, rotation, and automation (ACM, cert-manager, internal CAs), and prevent certificate-related outages.
  • Build observability around Splunk: dashboards, alerts, log pipelines, and searches that support monitoring and troubleshooting.
  • Write automation and tooling in Python and Bash to remove toil and improve developer experience.
  • Administer and harden Linux/Unix systems, including performance tuning and troubleshooting.
  • Manage source control workflows and repository standards in GitHub (branching strategy, protections, code review, secrets scanning).
  • Apply AI tools and LLMs to engineering workflows: log triage, incident summarization, code assistance, and runbook automation.
  • Design and build AI agents and MCP (Model Context Protocol) servers that connect LLMs to internal systems such as infrastructure, ticketing, monitoring, and deployment tools, with proper guardrails and access controls.
  • Partner with development, security, and product teams to embed DevSecOps practices.

Requirements

  • 5+ years of experience in DevOps, SRE, or infrastructure engineering.
  • Strong hands-on experience with AWS (EC2, VPC, IAM, ELB, Route 53, ACM, S3, CloudWatch) and EKS.
  • Production experience with Docker and Kubernetes (Helm, ingress, autoscaling, RBAC, networking).
  • Proficiency with Terraform and infrastructure-as-code best practices.
  • Proven experience building and maintaining CI/CD pipelines.
  • Solid Python scripting and development skills.
  • Strong Linux/Unix and Bash skills.
  • Experience with GitHub workflows and GitHub Actions.
  • Hands-on experience with Splunk (SPL, dashboards, alerting).
  • Working knowledge of load balancing, TLS/SSL, and certificate management.
  • Practical experience using LLMs and AI tools, and building AI agents or MCP servers.
  • Strong troubleshooting, communication, and on-call/incident management skills., * AWS certifications (Solutions Architect, DevOps Engineer) or CKA/CKAD.
  • Experience with GitOps tools (Argo CD, Flux) and service meshes.
  • Familiarity with Prometheus, Grafana, or OpenTelemetry.
  • Knowledge of agent frameworks (e.g., Claude Agent SDK, LangChain) and prompt engineering.
  • Experience with security and compliance frameworks (SOC 2, ISO 27001) and secrets management (Vault, AWS Secrets Manager).
  • Experience with cost optimization (FinOps) on AWS.

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