LockedIn AI is a leading real-time AI interview and meeting copilot platform trusted by over one million users worldwide. We are building the next generation of career technology by helping candidates perform better in interviews, coding assessments, and professional conversations through advanced AI-powered assistance.

Our mission is to create intelligent tools that help people communicate with confidence, showcase their skills, and achieve career success.

Job Overview
LockedIn AI is looking for a talented Platform Engineer to design, build, and operate the internal engineering platform that powers our products, AI systems, and development teams.

This is a high-impact role where you will build the foundation behind our cloud infrastructure, developer tooling, deployment systems, and scalable AI-powered services. You will help engineering teams move faster by creating reliable, secure, and efficient platforms that support millions of users.

The ideal candidate has strong cloud infrastructure experience, a deep understanding of DevOps practices, and a platform-as-a-product mindset.

Responsibilities
Cloud Infrastructure & Platform Architecture
Design, build, and maintain scalable cloud infrastructure across AWS, GCP, or Azure.
Manage compute, networking, storage, IAM, databases, and serverless services.
Build and optimize Kubernetes-based infrastructure for production workloads.
Implement Infrastructure as Code using Terraform, Pulumi, CloudFormation, or similar tools.
Develop reliable systems that support AI workloads, product services, and internal engineering platforms.
CI/CD & Developer Experience
Build and maintain automated CI/CD pipelines using tools like GitHub Actions, GitLab CI, ArgoCD, or Jenkins.
Implement deployment strategies including canary releases, blue-green deployments, and automated rollbacks.
Create internal tools and automation that improve developer productivity.
Reduce operational complexity through better engineering workflows and platform solutions.
Observability & Reliability
Build monitoring and observability systems using tools such as Prometheus, Grafana, Datadog, ELK, or OpenSearch.
Develop effective alerting systems and operational dashboards.
Improve debugging capabilities through logging, metrics, and distributed tracing.
Monitor platform performance, reliability, and infrastructure health.
Security & Scalability
Implement infrastructure security best practices including access controls, encryption, secrets management, and audit logging.
Improve system reliability through automation, fault tolerance, and performance optimization.
Develop scalable solutions for handling AI inference workloads and growing user demand.
Support security improvements across infrastructure and deployment processes.
Collaboration & Documentation
Work closely with engineering, AI/ML, data, and security teams.
Document architecture decisions, operational processes, and platform standards.
Build a culture focused on developer experience and continuous improvement.
Required Qualifications
Experience
3+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering.
Experience managing production cloud infrastructure.
Strong knowledge of Kubernetes and containerized applications.
Experience designing CI/CD pipelines and developer tooling.
Ability to work independently in a fast-paced startup environment.
Technical Skills
Strong programming skills in Python, Go, TypeScript, or similar languages.
Experience with AWS, GCP, or Azure cloud platforms.
Hands-on experience with Docker, Kubernetes, Helm, and service orchestration.
Knowledge of Infrastructure as Code tools such as Terraform, Pulumi, CloudFormation, or Ansible.
Experience with monitoring, logging, and observability platforms.
Understanding of deployment strategies and production reliability practices.
Preferred Qualifications
Experience building AI/ML infrastructure, GPU workloads, or MLOps systems.
Experience with real-time systems, streaming platforms, or low-latency architectures.
Familiarity with developer portals and internal platform products.
Experience with chaos engineering and reliability testing.
Background in SaaS, career technology, or high-growth startups.
Open-source contributions or technical writing experience.
What We Offer
Ownership & Impact
Build infrastructure that directly powers a product used by more than one million people worldwide.

Equity
Receive meaningful early-stage equity and become a true partner in our growth journey.

Flexibility
Enjoy a remote-first culture with optional collaboration opportunities in New York City.

Growth Opportunity
Join a fast-growing AI company where your decisions have immediate business and technical impact.

Innovation
Work with cutting-edge AI technologies and help shape the future of career development tools.

Why Join LockedIn AI?
Build infrastructure for a category-defining AI platform.
Work on products used by millions of job seekers worldwide.
Own critical engineering systems from architecture to execution.
Collaborate with a lean, ambitious, and highly motivated team.
Solve challenging problems at the intersection of AI, cloud infrastructure, and user experience.
How to Apply
Interested candidates should submit:

Resume or CV
A brief note explaining:Why you want to join LockedIn AI
Whether you have tried the platform
What improvements you would suggest
Portfolio, GitHub profile, or technical projects (optional but encouraged)
Join LockedIn AI and help build the infrastructure powering the future of AI-driven career success.