Technical Architect

We are seeking an experienced Senior Backend Engineer to join our passionate team. If you have a strong background in backend development, a track record of delivering scalable and reliable solutions, and are eager to contribute to complex projects, we would love to hear from you.

Responsibilities:

• Design and develop robust, high-performance backend solutions using Python and related technologies.
• Lead the architecture and design discussions for major backend components and services.
• Collaborate closely with cross-functional teams to gather and analyze software requirements.
• Mentor and guide junior and mid-level engineers, fostering their technical growth.
• Review code and provide constructive feedback to ensure code quality and adherence to best practices.
• Identify and address performance bottlenecks, scalability challenges, and technical issues.
• Participate in sprint planning, task estimation, and agile development processes.
• Keep up-to-date with industry trends, tools, and best practices to continuously improve our backend systems.
• Drive the adoption of coding standards, design patterns, and engineering best practices.
• Collaborate with frontend engineers to ensure seamless integration between frontend and backend components.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Minimum of 4 years of professional experience in backend development.
• Strong proficiency in Python and backend frameworks like Django and Flask.
• In-depth knowledge of database systems, both relational (MySQL) and NoSQL (MongoDB, etc. ).
• Proven track record of designing and developing scalable and maintainable backend services.
• Experience with RESTful API design and best practices.
• Solid understanding of software architecture, design principles, and software development lifecycle.
• Previous experience leading or mentoring engineers is a strong plus.
• Strong problem-solving skills and a proactive attitude towards challenges.
• Excellent communication skills, both verbal and written.
• Familiarity with cloud platforms (e. g., AWS, Azure, GCP) and containerization (Docker) is a plus.

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

Job Description: Principal Engineer (Full Stack Architect)

Job Title: Full Stack Architect

Location: Hyderabad, India

Experience: 15Years to 20 years (4+ years in Enterprise Architecture)

Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.

Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning

Job Summary

As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.

This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.

Roles and Responsibilities

Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.

Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.

Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.

Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.

Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.

Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.

Mentorship: Mentor junior engineers and foster a collaborative team environment.

Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.

Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.

Mandatory Requirements

Experience: 12+ years of full-stack development experience, with significant expertise

in building and architecting applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

 Distributed Systems: Proven track record of architecting and implementing large-scale

distributed systems with a focus on reliability, scalability, and performance.

 Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),

with a deep understanding of cloud services such as compute, storage, networking, and

security.

 Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like

Neo4j. Experience with vector databases for high-dimensional data processing.

 Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs

for solving complex data relationships.

 Data Structures & Algorithms: Strong knowledge of DSA with practical experience in

solving complex technical challenges.

 Microservices Architecture: Experience in designing and developing microservices-based

architectures and ensuring high availability.

 DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).

 Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.

Nice-to-Have Requirements

 Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).

 Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.

 Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).

 AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.

 Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.

 System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.

 Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).

Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.

Profile Overview:

We are looking for passionate and keen-eyed front-end developers with 5+ years of experience in React JS for a major project to join our creative front-end development team who can add optimization and efficiency to the user experience and maintain brand consistency across all web page of the web products.

The front-end developer will closely coordinate with our back-end developers, graphic designers and UI designers to ensure all elements of the web creation are consistent.

Responsibilities:

• Turning UI/UX designs into prototypes, creating excellent interactive forms of designs, writing reusable modules and maintainability of the code.

• Implement UI development principles to ensure that the product client-side serves at scale.

• Review and optimize the application usage by monitoring key metrics and rectifying the issues proactively.

• Determining the structure and design of web pages.

• Ensuring user experience by analyzing the design choices.

• Developing features to enhance the user experience.

• Striking balance between functional and aesthetic design.

Requirements:

• Bachelor’s or Master’s degree in computer science, computer applications or related fields.
• Proven working experience as a React Developer for 5+ years and above.
• Hands-on experience with HTML5, CSS3, and  CSS frameworks.
• Demonstrable knowledge of Web services, Web API, REST services & GraphQL.
• Expertise in UI design and development of responsive web applications using React, Redux, Flask and Hooks.
• Applicable knowledge of Social API integration, Core location APIs, Web Views, Payments integration
• Proficiency in understanding layout aesthetics.
• Excellent analytical, problem-solving and multitasking skills.
• Ability to solve novel and challenging React problems.
• Capability to understand, develop and sustain continuous integration and delivery.

• Good foundation in CS fundamentals – algorithms, data structures
• Strong design and data modeling skills
• Good understanding of SQL and NOSQL databases
• Good concepts of object oriented programming and design patterns

• Location - Remote 

  Good to have

  • Familiarity with microservices design and testing
  • Familiarity with docker based setup
  • Prior experience in designing scalable microservices
  • Familiarity with cloud infrastructure and cloud deployment
  • Familiarity with CI/ CD pipelines

• Good Communication and interpersonal skills
• Proficient in MS Office
• Well versed with written and spoken english
• Self motivated and hard working
• Salary no bar for deserving candidates