LaunchCapital · 1 day ago
AI Enabled Cloud & DevOps Senior Engineer
Berkeley Heights, NJ
Full-time
Onsite
Senior Level, Lead/Staff
$146K/yr - $245K/yr
10+ years expLaunchCapital is a company that connects financial institutions, corporations, merchants, and consumers globally. They are seeking an AI Enabled Cloud & DevOps Senior Engineer to revolutionize infrastructure and operations through AI-powered automation, focusing on designing intelligent systems that autonomously manage cloud infrastructure and operational processes.
ConsumerInformation TechnologyMedical DevicePublishing
No H1B
U.S. Citizen Only
Responsibilities
Design and build agentic automation systems that autonomously manage cloud infrastructure provisioning, scaling, and optimization across AWS, GCP, or Azure
Implement AI-powered CI/CD pipelines with intelligent code review, security scanning, test generation, and automated deployment decisions
Create agentic incident response systems that automatically detect, diagnose, and remediate infrastructure issues with appropriate human oversight
Leverage major LLM-powered coding assistants to accelerate Terraform, Kubernetes, and configuration management development
Use AI tools to document, analyze, and modernize legacy infrastructure, build scripts, and deployment processes
Build intelligent cost optimization agents that analyze usage patterns, recommend right-sizing, and automate resource management
Develop AI-assisted security and compliance automation including posture management, drift detection, and automated remediation
Implement intelligent monitoring and observability systems that use AI to correlate events, predict issues, and surface actionable insights
Create self-service infrastructure platforms with AI-powered assistance for development teams
Qualification
Required
10+ years of DevOps/SRE/Cloud Engineering experience with deep expertise in AWS, GCP, or Azure
Strong proficiency in Python and/or Java for automation and tooling development
Hands-on experience with major LLM-powered coding assistants and the ability to evaluate emerging tools
Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI) or strong interest in learning
Expert-level knowledge of infrastructure-as-code (Terraform, CloudFormation, Pulumi)
Deep expertise in CI/CD tools (GitHub Actions, GitLab CI, ArgoCD) and GitOps practices
Kubernetes expertise including deployment, scaling, operators, and troubleshooting
Experience with observability stacks (Datadog, Prometheus, Grafana, ELK) and AIOps concepts
Preferred
Experience in fintech or regulated industries with compliance requirements (SOC 2, PCI-DSS, FedRAMP)
Experience modernizing legacy infrastructure or migrating from on-premise to cloud
Background in prompt engineering or working with LLM APIs
Experience with MCP (Model Context Protocol) or A2A protocols for tool integration
Cloud certifications (AWS Solutions Architect, GCP Professional Cloud Architect)
Experience with chaos engineering, resilience testing, or self-healing infrastructure
Benefits
Annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards
Company
LaunchCapital
LaunchCapital is focused on entrepreneurs at the seed stage.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase