Director of Engineering

Key Responsibilities

Engineering Leadership & Strategy
● Define the long-term technical vision and engineering roadmap in alignment with Hevo’s product and business strategy.
● Build and scale engineering teams, fostering a high-performance culture rooted in ownership and innovation.
● Serve as a thought partner to the CXO, HoE and leadership team on product and platform evolution.

Architecture & Technical Direction
● Lead architectural decisions for a large-scale, real-time data platform ensuring scalability, performance, and reliability.
● Drive modernization across ingestion, transformation, orchestration, and metadata systems.
● Evaluate emerging technologies and adopt those that advance the platform’s capabilities and efficiency.
● Champion technical excellence and establish best practices across the org.

Delivery & Execution
● Oversee end-to-end product delivery, ensuring timely releases with high quality and customer impact.
● Build robust engineering processes (planning, reviews, incident management) to support rapid scaling.
● Partner closely with product management to align priorities and balance speed with long-term maintainability.
● Drive execution discipline while maintaining a bias for speed and innovation.

People & Organizational Development
● Attract, develop, and retain top engineering talent across multiple domains.
● Build leadership capacity within engineering through mentorship and succession planning.

AI-Native Engineering & Platform Intelligence
● Drive adoption of LLM-powered developer productivity tools to accelerate engineering throughput.
● Leverage AI to improve observability, incident triaging, and root cause analysis across distributed ingestion systems.
● Architect AI-assisted features for customers (e.g., automated connector mapping, transformation suggestions, query optimization).
● Establish responsible AI practices including governance, evaluation frameworks, and model performance monitoring.
● Identify opportunities to reduce operational overhead through automation and AI-driven decision systems.
● Embed AI/ML capabilities into the core platform (e.g., anomaly detection, pipeline health intelligence, intelligent retries, data quality insights).

Why Consider Leading the Engineering at Hevo
At Hevo, you will be leading the team working on one of the most technically challenging and impactful problems in modern data infrastructure: building a highly reliable, fault-tolerant data pipeline that powers decision-making for 2000+ enterprise companies across 40+ countries, including industry leaders like Shopify, DoorDash, Postman, and Zepto.

The Core Challenge
Companies today run on hundreds of business applications and databases. Each of these data sources evolves constantly. The structure of the data can change without warning, APIs behave unpredictably, and edge cases surface every day. Yet our customers rely on Hevo to unify all this data into their warehouses at internet scale.

Scale & Technology
The scale we operate at captures the magnitude of our engineering challenges
● 2000 companies across 40+ countries use Hevo.
● 150+ data sources with pre-built, battle-tested connectors
● 200GB/hour data transfer rate for each pipeline
● About 40k Pipelines
● 6 billion events processed per day
● 1PB+ data processed monthly
Our tech stack is built for this scale: AWS Fargate, Apache Kafka, RocksDB, MySQL, MongoDB, Redis, InfluxDB, and Temporal, orchestrating multiple microservices across multi-tenant, auto-scaling infrastructure.

AI at the Core, Not Just the Surface
At Hevo, we build the infrastructure that makes AI possible in the first place. Without reliable, high-quality data, RAG breaks with stale or missing documents, agents hallucinate and take wrong actions, and copilots surface responses that can’t be trusted.
Beyond powering AI with clean, trustworthy data, we’re actively embedding AI directly into the heart of our core product. For example, one of our core initiatives is around building agents that behave like developers - autonomously creating, testing, and validating new data connectors.

Work with the Best Engineering Minds
You'll be working alongside engineers who've built systems at scale before at companies like Flipkart, Amazon, Linkedin, Microsoft, Oracle and Razorpay. These are smart, kind, and hardworking colleagues who bring deep expertise in distributed systems and are passionate about solving complex technical problems.

Why This Work Matters
Unlike much of the work in large organizations, the problems that engineering solves at Hevo are deeply technical and core to the company’s mission. Your work is not an add-on. It is the foundation. Every design decision directly impacts data reliability for some of the fastest-growing companies in the world.

Unique Advantage of Building at Hevo India
There are very few companies in India that build true data infrastructure products at this scale. In most global companies, the most complex and challenging engineering work happens outside India, while local teams handle peripheral or execution-heavy roles.
Hevo is different. Our entire engineering team is based in India. Every engineer works on the toughest problems, has full visibility into the product architecture, and contributes directly to the company's core technology. The learning and the impact are real and immediate.

Who Should Not Join Hevo
Hevo is not for everyone. We are solving deeply complex technical problems that demand rigor, creativity, and persistence. You may not be a fit if:
● You do not enjoy working on complex challenges or diving deep into the crux of a problem
● You are not passionate about building high-performance, high-quality, and scalable products used by thousands of large-scale customers
● You are looking for a settled role in a company that moves at a slow and steady pace. At Hevo, we move fast, but without breaking things

Join Us
We're at the perfect inflection point. We are at a scale where the technical challenges are massive but the team is still small enough that every engineer shapes the product's architecture and future.
The data infrastructure market is exploding. AI is creating unprecedented demand for reliable, real-time data. And we're building the foundational technology that will power the next generation of AI-native companies.

Qualification
● 15+ years of experience 
● Bachelor’s degree in Computer Science or related field required; Master’s degree preferred