Head of Engineering at Hectar India Trading Pvt Ltd · Chennai · 10 - 20 years · ₹50L - ₹70L / yr (ESOP available) · Bootstrapped · Posted 12 Apr 2023

About the company: https://www.hectar.in/
Hectar Global is a financial technology company that provides a disruptive cross-border trading platform for the agricultural commodities market. Our platform utilizes machine learning and data analysis to provide insights and improve the trading experience for farmers, traders, and other stakeholders in the agricultural industry. Our mission is to bring transparency and efficiency to the agricultural commodities market, which has traditionally been fragmented and opaque. We are committed to driving innovation in the industry and providing a user-friendly and accessible platform for our customers.
Job Overview:
We are seeking a highly skilled Head of Engineering to lead the development of our innovative and disruptive cross-border trading platform at Hectar Global. This person will be responsible for spearheading all technical aspects of the project, from architecture and infrastructure to data and machine learning.
Responsibilities:
- Lead and manage a team of engineers, including hiring, training, and mentoring
- Design and implement the technical architecture of the cross-border trading platform
- Ensure the platform is scalable, efficient, and secure
- Oversee the development of data models and machine learning algorithms
- Collaborate with cross-functional teams, including product and design, to ensure the platform meets user needs and is visually appealing and easy to use
- Work with stakeholders to identify business requirements and translate them into technical solutions
- Develop and maintain technical documentation, including system specifications, design documents, and user manuals
- Keep up to date with emerging trends and technologies in software engineering, machine learning, and data science
Requirements:
- Bachelor's or Master's degree in Computer Science or related field
- 10+ years of experience in software engineering, with a focus on web applications and machine learning
- Proven track record of leading and managing a team of engineers
- Expertise in software architecture and design patterns
- Experience with data modeling and machine learning techniques
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience working in an agile development environment
- Strong knowledge of front-end technologies, such as HTML, CSS, and JavaScript
- Familiarity with modern web frameworks, such as React or Angular
Preferred qualifications:
- Experience with cloud computing platforms, such as AWS or Azure
- Familiarity with data visualization tools, such as D3.js or Tableau
- Experience with containerization and orchestration tools, such as Docker and Kubernetes
- Understanding of financial markets and trading platforms
If you are a passionate leader with a proven track record of building innovative and disruptive products and teams, we would love to hear from you.

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Celeco Labs is hiring a hands-on Head of Engineering on behalf of a confidential client in the housing-finance sector.
This is a role for an engineer who wants to own delivery, not only manage it. You will set the technical direction, build and maintain production systems, and work closely with the business team. You should be comfortable taking a requirement from the first discussion through technical planning, implementation, release, and production support.
What you will do
• Own the engineering roadmap and help decide what should be built first.
• Design, build, and maintain reliable customer-facing products and internal systems.
• Write production code and review code written by others.
• Turn business requirements into clear technical plans and releases.
• Choose practical architecture, tools, and vendors that fit the company's needs.
• Set working standards for testing, deployment, monitoring, backups, and access control.
• Protect customer and company data through practical security controls.
• Investigate production issues and make sure the same problems do not repeat.
• Help hire and guide a small engineering team as the company grows.
What we are looking for
• 3–5 years of professional software-engineering experience.
• Experience building and running production systems.
• Strong backend skills, including APIs, databases, and cloud services.
• Enough frontend knowledge to work across a product when needed.
• Good judgment about system design, security, reliability, and cost.
• The ability to explain technical choices in simple language.
• Comfort working independently and taking full ownership of delivery.
Experience in lending, housing finance, fintech, or another regulated industry is useful, but not required. Experience leading engineers or working directly with founders and business leaders is also useful.
How to apply
Please share your CV or LinkedIn profile and two short examples of production systems you have owned. This is a confidential search. More information about the company will be shared with shortlisted candidates during the interview process.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Strong Engineering Manager / Lead Profiles
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Mandatory (Experience 1) – Must have minimum 8+ years of overall Software Engineering / Development experience with a strong IC foundation.
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Mandatory (Experience 2) – Must have 2+ years of formal Engineering Manager experience with direct people-management responsibility (informal Senior Engineer / Tech Lead experience managing a team does not count)
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Mandatory (Experience 3) – Must have directly managed 4–6+ engineers, including 1:1s, performance management, growth plans, promotions, mentoring, and team development.
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Mandatory (Experience 4) – Must own technical direction and delivery for an engineering team/pod, including architecture, system design, code/PR reviews, execution planning, and engineering quality.
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Mandatory (Experience 5) – Must have strong backend/software engineering experience with hands-on technical depth in building APIs, services, integrations, and scalable systems; specific language/framework can vary.
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Mandatory (Experience 6) – Must have experience owning production operations, including on-call, incident management, debugging, and postmortems for their area.
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Mandatory (Experience 7) – Must have experience driving cross-functional alignment with Product and Design and translating ambiguous business/product requirements into scalable technical solutions.
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Mandatory (Company) – Must be from a Product Company / Startup, particularly B2B SaaS, Fintech, Payments, or similar technology product environments. (Refer Target Company List)
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Mandatory (Role Fit) – Role is 80% people/team management and 20% technical/IC involvement;
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Preferred (Education) - Tier 1 engineering college
About the role
You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.
Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office
What you will do
Technology & product leadership
- Define and drive the technology vision, architecture and long-term platform roadmap.
- Oversee the architecture, design and delivery of highly scalable enterprise systems.
- Ensure engineering excellence, velocity and reliability across the product lifecycle.
Engineering & platform management
- Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
- Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
- Oversee operational effectiveness, including uptime, production reliability and cost optimisation.
Innovation & AI strategy
- Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
- Own the GenAI/LLM solutions architecture.
- Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
- Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
- Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.
Technical leadership
- A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
- Collaborate with executive leadership on business strategy, client requirements and product delivery.
- Build, mentor and scale high-performing engineering teams with a growth mindset.
- Establish a strong technology culture grounded in ownership, innovation and continuous learning.
What success looks like
- Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
- Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
- Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.
Qualifications & experience
- Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
- A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
- Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
- Proven leadership in defining and executing technology strategy and platform roadmaps.
- Extensive cloud-native engineering experience with Azure, AWS and GCP.
Technical expertise
- Strong full-stack engineering background (Java, Python, JavaScript frameworks).
- Expertise with JS frameworks such as React, Angular and Node.js.
- Experience building and scaling distributed systems and microservices.
- Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
- Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).
Behavioural & leadership competencies
- Product and delivery management expertise, end to end, including delivery and customer support.
- Excellent communication, with the ability to influence executive stakeholders.
- High technical proficiency combined with strong business acumen.
- Strong analytical and decision-making skills.








