Solution Consultant SAAS

Job Details

- Job Title: Full Stack Engineer

- Industry: SAAS

- Function – Information Technology

- Experience Required: 5-7 years

- Working Days: 6 days

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: TypeScript, NodeJS, mongodb, RESTful APIs, React.js

Criteria

Candidate should have at least 4+ years of professional experience as a Full Stack Engineer

Hands-on experience with both React.js and Node.js

Solid understanding of MongoDB

Should have experience in RESTful APIs

Should be from a startup or scale up companies

Should have good experience in Typescript

Strong understanding of asynchronous programming patterns

Preferred candidates from SAAS/Software/IT Services based startups or scaleup companies

Job Description

The Role:

We’re looking for a Full Stack Engineer to build, scale, and maintain high-performance web applications for company’s technology platforms. This role involves working across the stack-frontend, backend, and infrastructure - using modern JavaScript-based technologies.

You’ll collaborate closely with product managers, designers, and cross-functional engineering teams to deliver scalable, secure, and user-centric solutions. This role is ideal for someone who enjoys end-to-end ownership, technical problem-solving, and working in a fast-paced startup environment.

What You’ll Own

1. Full Stack Development

● Design, develop, test, and deploy robust and scalable web applications.

● Build and maintain server-side logic and microservices using Node.js, Express.js, and TypeScript.

● Contribute to frontend feature development and integration.

● Participate in feature planning, estimation, and execution.

2. Backend & API Engineering

● Design and develop RESTful APIs and backend services.

● Implement asynchronous workflows and scalable microservice architectures.

● Ensure performance, reliability, and security of backend systems.

● Implement authentication, authorization, and data protection best practices.

3. Database Design & Optimization

● Design and manage MongoDB schemas using Mongoose.

● Optimize queries and database performance for scale.

● Ensure data integrity and efficient data access patterns.

4. Frontend Collaboration & Integration

● Collaborate with frontend developers to integrate React components and APIs seamlessly.

● Ensure responsive, high-performing application behavior.

5. System Design & Scalability

● Contribute to system architecture and technical design discussions.

● Design scalable, maintainable, and future-ready solutions.

● Optimize applications for speed and scalability.

6. Product & Cross-Functional Collaboration

● Work closely with product and design teams to deliver high-quality features in rapid iterations.

● Participate in the full development lifecycle—from concept to deployment and maintenance.

7. Code Quality & Best Practices

● Write clean, testable, and maintainable code.

● Follow Git-based version control and code review best practices.

● Contribute to improving engineering standards and workflows.

What We’re Looking For

Must-Haves

● 4+ years of professional experience as a Full Stack Engineer or similar role.

● Strong proficiency in JavaScript and TypeScript.

● Hands-on experience with Node.js and Express.js.

● Solid understanding of MongoDB and Mongoose.

● Experience building and consuming RESTful APIs and microservices.

● Strong understanding of asynchronous programming patterns.

● Good grasp of system design principles and application architecture.

● Experience with Git and version control best practices.

● Bachelor’s degree in Computer Science, Engineering, or a related field.

Good-to-Have / Preferred

● Frontend development experience with React.js.

● Exposure to Three.js or similar 3D/visualization libraries.

● Experience with cloud platforms (AWS, GCP, Azure – EC2, S3, Lambda).

● Knowledge of Docker and containerization workflows.

● Experience with testing frameworks (Jest, Mocha, etc.).

● Familiarity with CI/CD pipelines and automated deployments.

Tools You’ll Use

● Backend: Node.js, Express.js, TypeScript

● Frontend: React.js (preferred)

● Database: MongoDB, Mongoose

● Version Control: Git, GitHub / GitLab

● Cloud & DevOps: AWS / GCP / Azure, Docker

● Collaboration: Google Workspace, Notion, Slack

Key Metrics You’ll Own

● Code quality, performance, and scalability

● Timely delivery of features and releases

● System reliability and reduction in production issues

● Contribution to architectural improvements

Why company

● Work on impactful, product-driven tech platforms.

● High-ownership role with end-to-end engineering exposure.

● Opportunity to work with modern technologies and evolving architectures.

● Collaborative startup culture with strong learning and growth opportunities.

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

Desired Candidate Profile:

• 6+ years of experience delivering enterprise-wide technical projects. 2-3 years of experience of which should have been spent managing, growing and retaining talent within teams
• Hands-on experience programming with RESTful APIs, Python, deployment and run time environments like Docker, Kubernetes
• Hands on front end experience in HTML, Javascript, React, and CSS.

• Deeper understanding of the network layer, HTTP, HTTPS, cookies, local storage.
• Ability to solve complex integration and product questions, looking at issues analytically.
• Organize team’s scrums, and prepare roadmap for dev tools
• Track integration success and ensure deadlines are met. Provide input to a scalable technical integration and account management process.

Desired Skills:

• Bachelor’s degree in Computer Science or relevant experience with other degrees.
• Excellent communication skills, good visual design sense, in-depth experience in developing web-based applications.
• Experience leading multi engineer projects and mentoring junior engineers.
• Ability to work in a fast-paced environment, multi-task, and perform under pressure, possessing a high level of energy, efficiency, and flexibility.
• Excellent business writing, presentation and communication skills.

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse.
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs.
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elasticsearch, MongoDB, and AWS technology.
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.

• 5+ years of experience in a Data Engineer role.
• Proficiency in Linux.
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena.
• Must have experience with Python/Scala.
• Must have experience with Big Data technologies like Apache Spark.
• Must have experience with Apache Airflow.
• Experience with data pipeline and ETL tools like AWS Glue.
• Experience working with AWS cloud services: EC2, S3, RDS, Redshift.

Technical Requirement :

- Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes

- Familiarity with RESTful APIs to connect Android applications to back-end services

- Strong knowledge of Android UI design principles, patterns, and best practices

- Experience with offline storage, threading, and performance tuning

- Strong knowledge in SQLite Database

- Experience in designing and developing custom controls for Android.

- Solid foundation in data structures, algorithms, and object orientation design.

- Capabilities to write and execute unit test cases.

- Independent researching, solution finding, analysis and problem solving skills and capabilities.

- Should have a strong knowledge of OOPS and intermediate knowledge of front-end GUI design and development.

- Should have knowledge of Kotlin

- Should have experience in MVC / MVVM Architecture.

- Good in Analytics and Communication

Job Description:

§ Understanding client requirements & functional specifications.

§ Developing and maintaining dynamic websites and web applications.

§ Ensuring fool proof performance of the deliverable.

§ Coordinating with co-developers and other related departments.

§ Sending regular updated about the project status

Desired Candidate Profile:

· Proficient knowledge of a back-end programming language - one or more from Python, JavaScript, NodeJS

· Proficient knowledge of back-end server frameworks - Flask

· Proficient knowledge in handling any from JSON, XML & YAML

· Databases: MongoDB

· Proficient In configuring backend in Nginx Server

· Experience in building the API services from scratch - Project structuring, setting up environment objects, build reusable components, etc,

· IDE: Visual Studio Code, PyCharm Notepad++.

· Should have excellent written & oral communication skills (English)

· Must have the capacity to work independently and also as a part of a team

JOB DESCRIPTION:

 Roles and Responsibility :

• Lead and build the team in development
• Participate in the technical design of projects we made for our Clients
• Supervise and write efficient and reliable code; use best practices with our team
• Organize and participate code reviews
• Setup unit and integration tests
• Architecture and design of reusable server components
• Developing high performing REST APIs for application functionality
• Develop and maintain scalable server architecture serving millions of users every day.
•  

Must Have Skill Sets :

• Should have 5+ years of experience in Mobile/web server and application development
• Mandatory: Strong development skills in Python ,Node.js, Typescript, Django Rest Framework, Linux, MongoDB
• Experience with client technologies like JavaScript, CSS3, HTML5, bootstrap, Angulars, React, Android App a plus
• Strong knowledge of data structures and computer fundamentals
• An ability to refract and understand large and separate code bases
• Experience with third-party libraries and APIs
• Forward-looking on potential technology choices
• Experience in building highly scalable, reliable systems
• Team handling experience.