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.
Apply for this position
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Prepare application
- Draft this with your agent
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