Python lead-Engineering Manager

Role & Responsibilities

Take end-to-end ownership of critical backend services — from architecture and development to deployment and scale.

Design systems for performance, reliability, and observability. Identify bottlenecks and eliminate them proactively.

Collaborate with product and design to deeply understand user pain points and build the right solutions.

Work independently and own complex modules with minimal oversight.

Champion clean, maintainable code and help set a high bar for engineering excellence across the team.

Stay up-to-date with new tools, technologies, and backend trends — and bring the best ideas into our stack.

Ideal Candidate

2+ years of backend development experience, ideally with Kotlin and Spring Boot (or willingness to ramp up quickly).

You’ve worked in fast-moving teams and thrive when given room to figure things out.

You take initiative and can drive complex modules to completion without needing constant guidance.

Strong with both low-level and high-level design; you know how to build scalable, reliable RESTful APIs.

Proficient with relational databases and aware of common performance pitfalls.

Confident with debugging and optimizing — memory leaks, latency issues, and other hard-to-find problems don’t scare you.

You write clean, testable code and know how to leave systems better than you found them.

You bring a product mindset — caring not just about what’s built, but why and how it delivers value to users.

Role Overview:

We’re looking for an exceptionally passionate, logical, and smart Backend Developer to join our core tech team. This role goes beyond writing code — you’ll help shape the architecture, lead entire backend team if needed, and be deeply involved in designing scalable systems almost from scratch.

This is a high-impact opportunity to work directly with the founders and play a pivotal role in building the core product. If you’re looking to grow alongside a fast-growing startup, take complete ownership, and influence the direction of the technology and product, this role is made for you.

Why Clink?

Clink is a fast-growing product startup building innovative solutions in the food-tech space. We’re on a mission to revolutionize how restaurants connect with customers and manage offers seamlessly. Our platform is a customer-facing app that needs to scale rapidly as we grow. We also aim to leverage Generative AI to enhance user experiences and drive personalization at scale.

Key Responsibilities:

• Design, develop, and completely own high-performance backend systems.
• Architect scalable, secure, and efficient system designs.
• Own database schema design and optimization for performance and reliability.
• Collaborate closely with frontend engineers, product managers, and designers.
• Guide and mentor junior team members .
• Explore and experiment with Generative AI capabilities for product innovation.
• Participate in code reviews and ensure high engineering standards.

Must-Have Skills:

• 2–4 years of experience in backend development at a product-based company.
• Strong expertise in database design and system architecture.
• Hands-on experience building multiple production-grade applications.
• Solid programming fundamentals and logical problem-solving skills.
• Experience with Python or Ruby on Rails (one is mandatory).
• Experience integrating third-party APIs and services.

Good-to-Have Skills:

• Familiarity with Generative AI tools, APIs, or projects.
• Contributions to open-source projects or personal side projects.
• Exposure to frontend basics (React, Vue, or similar) is a plus.
• Exposure to containerization, cloud deployment, or CI/CD pipelines.

What We’re Looking For:

• Extremely high aptitude and ability to solve tough technical problems.
• Passion for building products from scratch and shipping fast.
• A hacker mindset — someone who builds cool stuff even in their spare time.
• Team player who can lead when required and work independently when needed.

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Proven 2 to 12 years of professional experience in Node.js development
• Strong proficiency in JavaScript, including ES6+ syntax
• Expertise in designing and developing RESTful APIs and microservices architecture
• Experience with popular Node.js frameworks such as Express.js, Nest.js, or Hapi.js
• Experience in modern front-end technologies (e.g., HTML, CSS, JavaScript frameworks like React, Angular, or Vue.js)
• Solid understanding of asynchronous programming, event-driven architecture, and design patterns
• Extensive knowledge of database systems, both SQL and NoSQL (e.g., MongoDB, PostgreSQL, MySQL)
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Familiarity with containerization technologies (e.g., Docker, Kubernetes)

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

Roles & Responsibilities:

• Excellent problem-solving & analytical skills & OO principles
• Solid understanding of the data structure & algorithms.
• Expert knowledge with any one of the Javascript Framework such as Node Js.
• Any additional experience with Java or python, GoLang would be nice to have.
• Experience working with SQL database like MySQL or PostgreSQL
• Experience working with NoSQL databases like mongoDB, couchbase would be nice to have
• Working experience with cache like redis, mem cached or elasticache would be nice to have
• Working experience with Message Queues would be a great advantage.
• Experience with deployment & AWS would be nice to have
• Ability to do in depth analysis or problem statement or use case & Build robust & scalable architecture
• Logging & monitoring of the production system in real time
• Lead a team of 2-4 team members & make sure team practices defined coding practices across the project. 

1. Building REST API's & Services In Django Framework
2. Building reusable code and libraries for future use
3. Optimization of the application for maximum speed and scalability
4. Implementation of security and data protection
5. Design and implementation of the database schema
6. Design and implementation of data storage solutions
7. Implementing CI/CD pipeline

• Proficient knowledge of a back-end programming language Python
• Hands-on experience with Python Frameworks like Django
• Proficient knowledge of MySQL, PostgreSQL
• Creating database schemas that represent and support business processes (Relational & NoSQL)
• Understanding of queueing systems like Redis/AWS SQS
• User authentication and authorization between multiple systems, servers, and environments
• Data migration, transformation, and scripting
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform
• Proficient understanding of code versioning tools, such as Git

• Experience in Docker
• HandsOn Knowledge with implementing CI/CD pipelines
• Experience in managing applications on AWS
• Management of hosting environment, including database administration and scaling application to support load changes
• Product wide application-level thinking on API and data modeling

## Please apply if you have experience working on Trading Applications, all others would be automatically rejected ###

Our Core team develops connectivity software for low latency communication with derivatives exchanges all over the world, as well as real-time position and risk limit monitoring. The team's expertise is also relied upon by other C++ development groups to produce high-quality libraries and frameworks for their application development. We have a high degree of freedom and responsibility to produce technologically advanced solutions to demanding real-world problems.

From joining you will have ownership on a diverse set of projects that have a direct impact on trading performance. You will work closely with highly skilled colleagues who share your enthusiasm and deep knowledge of C++, Linux and network protocols, and share your hunger to learn more.

What We Are Looking For

• An experienced Modern C++ developer (C++17/20), with minimum 5 years experience and proficiency with C++ templates.
• A developer, who designs code to push every performance boundary.
• Excellent written and verbal communication skills.
• Ability to solve new and unfamiliar problems quickly and creatively.

• Knowledge of multiple exchanges.
• Ultra low latency design.
• Template metaprogramming.
• Network programming experience.
• Python.

• A great engineering environment whereby technology is key to our success and a C++20 code base.
• Great friendly, informal and highly rewarding culture.
• Fast growing global firm with plenty of opportunities where you will have significant impact.