Engineering Lead
No salary listed
Senior, Expert
Bengaluru, Karnataka, India
HybridHybrid workplace in Bengaluru, India.
Engineering ManagementEngineering Leadership
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 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
N/A
Total Funding
N/A
Headquarters
New York City, New York
Founded
2024
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Simplify's Take
What believers are saying
- AION raised $25 million pre-seed in March 2026, extending runway.
- AION’s June 2026 launch added managed cloud, showing real commercialization.
- Hiring network engineers in Bengaluru signals active infrastructure buildout and customer readiness.
What critics are saying
- Microsoft’s June 2026 on-device Aion 1.0 shrinks demand for external inference.
- AION’s 11-50 person team risks platform failure against hyperscalers and entrenched GPU marketplaces.
- If supply quality or verification breaks, buyers leave and the marketplace collapses fast.
What makes AION unique
- AION routes distributed GPUs through verifiable compute and atomic x402 payment settlement.
- AION’s OpenAI-compatible API reduces adoption friction for developers using verified inference.
- AION monetizes idle GPUs, turning consumer hardware into a decentralized supply network.
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Benefits
- Flexible Work Hours
- Wellness Program
- Company Equity
- Paid Vacation