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AION

Decentralized GPU marketplace for AI

Engineering Lead

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, India

About the Job

Requirements

  • At least 8 years of experience building and scaling software platforms, distributed systems, or enterprise applications.
  • At least 2 years of experience leading engineering teams in a fast-paced startup or high-growth environment.
  • Strong proficiency in Golang is preferred; experience with Python, Rust, Java, or C++ is a plus.
  • Deep understanding of distributed systems, microservices architecture, cloud-native applications, and API design.
  • Experience with Kubernetes, Docker, cloud platforms, and Infrastructure-as-Code.
  • Strong knowledge of databases, caching systems, messaging platforms, and event-driven architectures.
  • Experience building highly scalable, low-latency, production-grade systems.
  • Experience implementing observability using Prometheus, Grafana, OpenTelemetry, and distributed tracing.
  • Strong understanding of software security, authentication, authorization, and enterprise deployment practices.
  • Strong strategic thinking and ability to connect technical decisions to business impact.
  • Excellent communication and mentoring skills.

Responsibilities

  • Lead the design and development of the core platform and infrastructure, ensuring scalability, reliability, and performance.
  • Drive high-level architecture discussions and establish engineering standards across multiple products and services.
  • Make strategic technical decisions balancing product requirements, engineering velocity, and long-term platform sustainability.
  • Review system designs, technical proposals, and implementation plans to ensure engineering excellence.
  • Lead, mentor, and grow a high-performing team of software engineers.
  • Foster a culture of ownership, collaboration, continuous learning, and technical excellence.
  • Establish engineering best practices across code quality, testing, documentation, security, and operational readiness.
  • Support hiring, onboarding, performance management, and career development of engineering team members.
  • Partner with Product, Design, AI, Infrastructure, and Customer Success teams to translate business requirements into scalable technical solutions.
  • Drive project planning, execution, prioritization, and delivery across multiple engineering initiatives.
  • Ensure timely delivery of high-quality software while balancing technical debt and platform investments.
  • Collaborate with customers to understand deployment challenges and translate feedback into product improvements.
  • Build resilient, highly available systems capable of supporting enterprise-scale AI workloads.
  • Drive improvements in platform performance, observability, monitoring, incident response, and operational excellence.
  • Optimize development workflows, CI/CD pipelines, release processes, and engineering productivity.
  • Establish scalable engineering processes that support rapid company growth.
  • Work closely with executive leadership to align engineering strategy with business objectives.
  • Collaborate across engineering teams to drive platform consistency, architectural alignment, and knowledge sharing.
  • Represent engineering in customer discussions, technical workshops, and strategic planning sessions.
  • Contribute to the long-term technology vision and roadmap for the enterprise AI platform.

Desired Qualifications

  • Familiarity with AI infrastructure, LLM deployment, inference systems, orchestration platforms, or MLOps is highly desirable.
  • Experience building AI platforms, model serving infrastructure, orchestration systems, or enterprise AI products.
  • Experience with AWS, Azure, GCP, Kubernetes Operators, Terraform, or platform engineering.
  • Experience building multi-tenant SaaS platforms, customer VPC deployments, or on-premises enterprise solutions.
  • Experience building internal developer platforms, SDKs, APIs, developer tooling, or engineering productivity platforms.
  • Experience scaling engineering teams from an early-stage startup to growth-stage organizations.
  • Founder-level ownership and bias for action.
  • Ability to thrive in ambiguity, fast-paced environments, and early-stage startup culture.

About the Company

AION

Decentralized GPU marketplace for AI

AION operates a decentralized compute marketplace that lets people and businesses contribute idle GPUs to a shared network and earn passive income. Through this platform, users can buy or sell compute power for AI workloads, making high-performance AI infrastructure more affordable and accessible. Unlike traditional, centralized cloud providers, AION monetizes unused computing resources via a marketplace, offering scalable capacity and democratizing access to AI. The company aims to close the AI wealth gap by enabling widespread ownership of AI compute resources, serving tech-savvy individuals and organizations looking to reduce AI development costs. Revenue comes from facilitating transactions between compute buyers and GPU providers.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2024

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