Sr. Python Developer

Title: Quantitative Developer

Location : Mumbai

Candidates preferred with Master's

Who We Are

At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.

We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.

What You Will Do

This role offers a unique opportunity to work across both quantitative development and high frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.

1. Quantitative Strategy & Trading Execution

• Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs
• Trade across options, equities, and futures, using proprietary HFT platforms
• Monitor and manage PnL performance, targeting Sharpe ratios of 6+
• Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
• Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically

2. Trading Systems Development

• Build and enhance low-latency, high-throughput trading systems
• Develop tools to simulate trading strategies and access historical market data
• Design performance-optimized data structures and algorithms for fast execution
• Implement real-time risk management and performance tracking systems

3. Algorithmic and Quantitative Analysis

• Collaborate with researchers and traders to integrate strategies into live environments
• Use statistical methods and data-driven analysis to validate and refine models
• Work with large-scale HFT tick data using Python / C++

4. AI/ML Integration

• Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
• Analyze large datasets to detect patterns and alpha signals

5. System & Network Optimization

• Optimize distributed and concurrent systems for high-transaction throughput
• Enhance platform performance through network and systems programming
• Utilize deep knowledge of TCP/UDP and network protocols

6. Collaboration & Mentorship

• Collaborate cross-functionally with traders, engineers, and data scientists
• Represent Dolat in campus recruitment and industry events as a technical mentor

What We Are Looking For:

• Strong foundation in data structures, algorithms, and object-oriented programming (C++).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in systems programming within a Linux environment.
• Proficient and Hands on programming using python/ C++
• Familiarity with distributed computing and high-concurrency systems.
• Knowledge of network programming, including TCP/UDP protocols.
• Strong analytical and problem-solving skills.

A passion for technology-driven solutions in the financial markets.

As a Node.js Developer, you will be responsible for:

Designing, developing, and maintaining server-side applications and systems using Node.js, a JavaScript runtime environment. Your expertise in backend development, JavaScript, TypeScript, and REST APIs will play an essential role in creating efficient and powerful server-side applications.

Responsibilities:

● Design and implement efficient, secure, and maintainable server-side code using Node.js.

● Collaborate with the front-end development team to integrate user-facing elements with server-side logic.

● Develop APIs for seamless data flow between the front-end and back-end.

● Optimize application performance and ensure high availability and scalability.

To succeed in this role – you should have the following:

● Minimum of 3-4 years of experience as a backend developer.

● Must have proven experience as a Back-End Developer, with a focus on Node.js.

● Proficiency in JavaScript, TypeScript, and related frameworks (Express.js, Hapi.js, etc.).

● Experience with RESTful API design principles.

● Experience with agile development methodologies.

● Familiarity with working with at least one of PostgreSQL or MongoDB.

● Familiarity with version control systems (Git)

● Strong communication skills and ability to work collaboratively in a team.

● Strong problem-solving skills and attention to detail.

Added bonus:

● Familiarity with frontend development technologies like HTML and CSS.

● Experience working with Docker, Github Actions, and other common CI/CD pipelines

● Knowledge about AWS components (S3, EC2, Cloudfront, Redis Clusters, etc.)

Education:

Bachelor's degree in Computer Science, Information Technology, or a related field

THE POSITION:

- 3+ years of relevant experience in designing & implementing scalable, resilient backend microservices

- Expert at any backend programming language (Python/GoLang preferrable) and has exposure to API design and scalable architecture

- Hands-on experience on a couple of RDBMS/NoSQL/In-memory DBs

- Great database modelling skills

- Ability to choose the right algorithm, data-structure, and design pattern for the given problem statement

- Knowledge of any cloud based platform like AWS or GCP and scaling on the go

- Understanding of various application security principles and experience with building applications secure by design

QUALIFICATION:

                - We don't care about which college you are from, if you have the power to convert coffee into code, we got you.

• Relevant Experience : Minimum 2 Years
• You have prior experience developing and working on consumer facing web/app products
• Hands-on experience on Python. Exceptions can be made if you’re really good on any other language with experience on building web/app based tech products
• Experience in at least one of the following frameworks - Django, Flask, Falcon, web2py, Twisted, Tornado
• Working knowledge of MySQL, MongoDB, Redis
• Good understanding of Data Structures, Algorithms and Operating Systems
• You've worked with core AWS services in the past and have experience with EC2, ELB, AutoScaling, CloudFront, S3
• You can dabble in Frontend codebases using HTML, CSS and Javascript
• You love doing things efficiently. At Fynd, the work you do will have a disproportionate impact on the business. We believe in systems and processes that let us scale our impact to be larger than ourselves
• You might not have experience with all the tools that we use but you can learn those given the guidance and resources

Minimum 5-7years of professional experience building web-applications
Strong experience in backend development
Strong experience in AI/Machine Learning development, Data Analysis/Processing
Experience in creating robust and secure REST APIs
Hands-on exposure to RDBMS like PostgreSQL, MySQL, MariaDB etc.
Proficiency with one or more programming languages from Java, Python, Node/JavaScript
Solid familiarity working with cloud and related technologies, AWS, GCP and Azure cloud environments
Ability to do very quick research in unknown technologies
Startup mindset, comfort with chaos and multi-tasking ability
Strong programming fundamentals in Data Structures, Algorithms
An eye for writing performance optimum code in any tool set

MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.

In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team 

and more importantly have fun while you work on scaling MoEngage.

Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications

• Proven experience in handling large infrastructure and distributed systems
• Familiarity with Python related technologies and frameworks like Django or Pyramid.
• Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce