Backend Engineer

Cloud infrastructure solutions and support company. (SE1)

Backend Engineer

Multi Recruit

Company

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Backend Engineer

at Cloud infrastructure solutions and support company. (SE1)

Agency job

via Multi Recruit

4 - 8 yrs

₹28L - ₹36L / yr

Bengaluru (Bangalore)

Skills

SQL

Python

R Programming

AI Engineer

Set up

Manage

Automate

Deploy AI Models

Set up, manage, automate and deploy AI models in development and production infrastructure.
Orchestrate life cycle management of AI Models
Create APIs and help business customers put results of the AI models into operations
Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
Validate the AI Models
Make model performant (time and space) based on the business needs
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Processing, cleansing, and verifying the integrity of data used for analysis 
Ensuring that algorithms generate accurate user recommendations/insights/outputs
Keep abreast with the latest AI tools relevant to our business domain

Job Qualifications

Bachelor’s or master's degree in Computer Science, Statistics or related field 
A Master’s degree in data analytics, or similar will be advantageous.
3 - 5 years of relevant experience in deploying AI models to production
Understanding of data structures, data modeling, and software architecture
Good knowledge of math, probability, statistics, and algorithms
Ability to write robust code in Python/ R
Proficiency in using query languages, such as SQL
Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
Having knowledge in CI/CD for the building and hosting the solutions
We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Set up, manage, automate and deploy AI models in development and production infrastructure.
Orchestrate life cycle management of AI Models
Create APIs and help business customers put results of the AI models into operations
Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
Validate the AI Models
Make model performant (time and space) based on the business needs
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Processing, cleansing, and verifying the integrity of data used for analysis 
Ensuring that algorithms generate accurate user recommendations/insights/outputs
Keep abreast with the latest AI tools relevant to our business domain

Job Qualifications

Bachelor’s or master's degree in Computer Science, Statistics or related field 
A Master’s degree in data analytics, or similar will be advantageous.
3 - 5 years of relevant experience in deploying AI models to production
Understanding of data structures, data modeling, and software architecture
Good knowledge of math, probability, statistics, and algorithms
Ability to write robust code in Python/ R
Proficiency in using query languages, such as SQL
Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
Having knowledge in CI/CD for the building and hosting the solutions
We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

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Erlang

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About the Role

At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.

Our flagship platform is currently under development. As a Backend Engineer, you will play a foundational role in designing and building the core trading engine and research infrastructure from the ground up. Your work will focus on developing performance-critical components that power backtesting, real-time strategy execution, and seamless integration with brokers and data providers. You’ll be responsible for bridging core engine logic with Python-based strategy interfaces, supporting a modular system architecture for isolated and scalable strategy execution, and building robust abstractions for data handling and API interactions. This role is central to delivering the reliability, flexibility, and performance that our users will rely on in fast-moving financial markets.

We are a remote-first team and are open to hiring exceptional candidates globally.

Core Tasks

· Build and maintain the trading engine core for execution, backtesting, and event logging.

· Develop isolated strategy execution runners to support multi-user, multi-strategy environments.

· Implement abstraction layers for brokers and market data feeds to offer a unified API experience.

· Bridge the core engine language with Python strategies using gRPC, ZeroMQ, or similar interop technologies.

· Implement logic to parse and execute JSON-based strategy DSL from the strategy builder.

· Design compute-optimized components for multi-asset workflows and scalable backtesting.

· Capture real-time state, performance metrics, and slippage for both live and simulated runs.

· Collaborate with infrastructure engineers to support high-availability deployments.

Top Technical Competencies

· Proficiency in distributed systems, concurrency, and system design.

· Strong backend/server-side development skills using C++, Rust, C#, Erlang, or Python.

· Deep understanding of data structures and algorithms with a focus on low-latency performance.

· Experience with event-driven and messaging-based architectures (e.g., ZeroMQ, Redis Streams).

· Familiarity with Linux-based environments and system-level performance tuning.

Bonus Competencies

· Understanding of financial markets, asset classes, and algorithmic trading strategies.

· 3–5 years of prior Backend experience.

· Hands-on experience with backtesting frameworks or financial market simulators.

· Experience with sandboxed execution environments or paper trading platforms.

· Advanced knowledge of multithreading, memory optimization, or compiler construction.

· Educational background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.

What We Offer

· Opportunity to shape the backend architecture of a next-gen fintech startup.

· A collaborative, technically driven culture.

· Competitive compensation with performance-based bonuses.

· Flexible working hours and a remote-friendly environment for candidates across the globe.

· Exposure to financial modeling, trading infrastructure, and real-time applications.

· Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.

Ideal Candidate

You’re a backend-first thinker who’s obsessed with reliability, latency, and architectural flexibility. You enjoy building scalable systems that transform complex strategy logic into high-performance, real-time trading actions. You think in microseconds, architect for fault tolerance, and build APIs designed for developer extensibility.