Tech Lead-Python

Position Overview:

We are seeking a highly skilled Node.js backend developer to join our dynamic team.

The ideal candidate will have strong expertise in Node.js development. Knowledge of frontend frameworks like React.js or Angular, AI-driven development, Python, and AWS is a plus.

Key Responsibilities:

• Design and develop a NodeJS backend with a modular, scalable architecture.

• Build REST APIs and WebSocket services for real-time updates.

• Optimize PostgreSQL queries, ensure proper indexing, and manage database migrations.

• Implement role-based authentication & authorization (JWT, RBAC in NestJS).

• Set up event-driven patterns (Redis pub/sub, background jobs, async processing).

• Integrate with external api’s (JSON-RPC, XML-RPC, REST).

• Optimize API response times (caching, Redis, database tuning).

• Ensure secure API development (encryption, secure credentials storage).

• Provide technical mentorship to junior developers and contribute to architectural decisions.

Job Description:  

As a L3 analyst, you will play a key role within the Application Management team, leading services for its customer(s). This service has responsibility for the smooth daily operational running of the Client platform both in the cloud and on-premises. The Client application is business critical and centrally manages data for trading, settlement, risk, client and regulatory reporting systems. As a L3 analyst, you will be responsible for supporting complex infrastructure and application issues raised by L1/L2 support teams, and business analysts. You would also be working on client requests for enhancements, fixes, maintaining custom code, and following the best practices such as Agile, DevOps, etc.

The role is a technical role requiring a good technical knowledge of SQL/PLSQ, Core Java along with good debugging skill while supporting client implementations. You should have basic understanding on Unix system and commands. The ability to troubleshoot issues, assist users and help write specifications is essential. This position also works with product management to improve the software engineering processes and practices associated with continuously building, deploying, and updating software and environments.

• Accountability and primary responsibility/duties:
• A typical day would look like as follows: -
  • 40% support issues.
  • 40% configuration/development work.
  • 20% continuous improvement, automation, CICD, so on.
• Activities would range across the lifecycle from discovery to post-implementation support.
• Understanding client’s requirement, replicate the problem and providing the solution
• Understanding and developing new requirements coming in from BAs (Business Analysts) and customers.
• Update the existing functionality based on client needs.
• Develop changes that cater to enhancing the product and/or fixing production issues
• Prepare product releases of software components. (Java/SQL-PLSQL)
• Contribute in all phases of the development cycle. (development/Deployment/Testing, peer review)
• Create technical document for all changes made.

Required Qualifications/Knowledge/Skills

• Bachelor’s degree in Computer Science or related field
• Strong basics and working experience in following technologies: -
  • Core Java.
  • SQL / PLSQL coding.
  • Object Oriented Programming concepts and data structures.
• Working knowledge on Unix platform
• Working knowledge on XSLT and XML handling
• Basic understanding App & web server working knowledge (JBOSS, WebLogic and WebSphere) and debugging skills.
• Advantageous to have:
  • Working understanding on CICD, Dev-ops technologies.
  • Queuing technologies including Kafka, MQ, Solace.
  • Scripting including Python, Unix, java.
• Hands on knowledge of Dev ops processes and tools Good interpersonal and communication skills.
  
  

• Leads more than one projects end-to-end and collaborates across functions. Drives planning, estimation and execution.
• Manages stakeholder expectations and offers scalable, reliable, performant and easy to maintain solutions
• Consistently delivers complex, well backed and bug-free products in time
• Consistently takes well thought technical/design decisions
• Develops expertise in more than one area and shares knowledge with others. able to mentor/train in areas which are new to them.
• Drives people to solve engineering challenges
• Enjoys high respect of Tech and other cross functional teams
• Demonstrates effective communication with project team, management and

internal/external clients as necessary.

• Surfaces both technical and non-technical team challenges and helps resolve them
• Champion for SDLC best practices and high quality standards

• Expert at in RoR, Golang, NodeJS or Python. Good to have exposure to ML.
• Must have experience in cloud computing
• Operates independently with almost no oversight
• Is able to apply domain expertise to think critically and make wise decisions for the

team, taking into account tradeoffs and constraints.

• Communicates tech decisions through design docs and tech talks
• Has delivered multiple projects with end-to-end engineering ownership
• Keeps track of new technology/tools and embraces them as necessary
• 7+ years of experience in product driven organization
• A Bachelors or Masters degree in engineering from a reputed institute (preferably

• 5-7+ years of commercial Java development experience
• Experience with well known Open Source frameworks/libraries, like Spring Boot
• Work experience with Docker
• Microservice experience
• Experience with AWS like ECS, Lambda, SQS, RDS, Kinesis streams
• Familiar with iterative development
• Upper-intermediate level of English
• Solid understanding of communication and network protocols (TCP/IP, HTTP).
• At ease with Unix/Linux
• Excellent analytical and debugging skills
• Familiar with both SQL and noSQL databases (MySQL, DynamoDB, Memcached, Redis)
• Practical experience with scaling applications to big user numbers is a plus
• Experience with other programming languages is a plus.

• 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

• 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.