Platform Engineer

Platform Engineer — Job Posting
Job Title
Platform Engineer

Reports To
Co-Founder / CEO

Employment Type
Full-Time

Work Model
Remote (US-Based) · Optional Hybrid (New York, NY)

Compensation
$140,000 – $195,000 USD / year + equity

About LockedIn AI
LockedIn AI is the #1 real-time AI interview and meeting copilot, trusted by over 1 million users worldwide. We are building a high-performance AI-native platform that powers live interview assistance, coding help, and professional communication at scale.

Our mission is to enable reliable, fast, and scalable AI systems that support millions of users in real time.

Role Overview
We are looking for a technically sharp Platform Engineer to design, build, and operate the internal infrastructure and developer platform that powers all engineering teams.

This is a high-leverage role — you will build the systems that every engineer and AI service depends on to ship fast and operate reliably at scale.

You will treat internal infrastructure as a product: optimizing developer experience, system reliability, and platform performance for a rapidly growing AI-native company.

Key Responsibilities
1. Cloud Infrastructure & Architecture
Design and manage cloud infrastructure across AWS, GCP, or Azure
Build scalable systems for compute, networking, storage, and IAM
Manage Kubernetes clusters (autoscaling, Helm, service mesh, workloads)
Implement Infrastructure as Code using Terraform, Pulumi, or CloudFormation

2. CI/CD & Developer Tooling
Build and maintain CI/CD pipelines for all engineering teams
Implement deployment strategies like canary, blue-green, and rollback systems
Create internal developer tools that improve engineering velocity
Evaluate and integrate platform tools to improve reliability and efficiency

3. Observability & Monitoring
Build observability systems using metrics, logs, and distributed tracing
Maintain dashboards for system health, latency, and service reliability
Design alerting systems that reduce noise and improve incident response
Monitor platform performance, cost, and developer experience metrics

4. Reliability & Scalability
Design highly available, fault-tolerant platform systems
Optimize performance, latency, and infrastructure utilization
Build autoscaling and capacity management systems for variable workloads
Implement cost optimization strategies without sacrificing reliability

5. Security & Compliance
Enforce infrastructure security best practices (IAM, encryption, secrets management)
Ensure compliance with privacy-first design principles
Manage vulnerability scanning, patching, and infrastructure hardening
Collaborate on DevSecOps practices across the organization

6. Cross-Functional Platform Ownership
Work closely with engineering, AI, and data teams
Build platform tooling that improves productivity across the company
Document architecture, systems, and operational processes
Drive a platform-as-a-product culture with continuous iteration

Required Qualifications
Experience
3+ years in platform engineering, DevOps, or SRE roles
Experience building cloud-native infrastructure at scale
Hands-on Kubernetes and production infrastructure experience
Strong cross-functional collaboration skills
Startup or fast-paced environment experience preferred

Technical Skills
Strong programming skills (Python, Go, TypeScript, or similar)
Deep cloud experience (AWS, GCP, or Azure)
Kubernetes, Docker, and container orchestration expertise
Infrastructure as Code (Terraform, Pulumi, CloudFormation)
CI/CD systems (GitHub Actions, GitLab CI, ArgoCD, Jenkins)
Observability tools (Prometheus, Grafana, Datadog, ELK/OpenSearch)

Preferred Qualifications
Experience with AI/ML infrastructure or model serving systems
Background in real-time or low-latency distributed systems
Experience building internal developer platforms or tooling systems
Knowledge of chaos engineering or resilience testing
Multi-cloud or hybrid-cloud experience
Contributions to open-source infrastructure projects
Experience in SaaS, edtech, or consumer-scale platforms

What We Offer
Equity Ownership — meaningful early-stage ownership
High Impact — your work powers systems used by 1M+ users
Fast Execution — build and ship infrastructure at startup speed
Remote Flexibility — work from anywhere (US-based optional NYC hybrid)
Platform Ownership — end-to-end responsibility over engineering infrastructure
AI-Native Environment — build infrastructure for cutting-edge AI systems

Why Join LockedIn AI?
You will own the platform that powers every engineering and AI system
You will directly improve developer velocity across the entire company
You will build scalable infrastructure for real-time AI products
You will work in a fast-moving, AI-first engineering environment
You will have direct impact on reliability and performance for 1M+ users

How to Apply
Please submit:

Resume / CV
Short note including:Why you want to join LockedIn AI
Whether you’ve used the product
Suggestions for improvement
Optional: GitHub, infra projects, or technical writing samples

Equal Opportunity
We are committed to building a diverse and inclusive team. Hiring decisions are based on merit, skills, and business needs.