Lead Full Stack Developer/Architect

Job Description:

Look for candidates who are preferably immediate joiners and have stability in career

Skills - DS Algorithms, Oops Concept,

Job Brief-

·       Understand product requirements and come up with solution approaches

·       Build and enhance large scale domain centric applications

·       Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines

Engineering Manager – Backend

Opportunity in this role / Why should you join us?

Series D funded supply chain startup.

Requirements

• Software engineering experience of greater than or equal to 7 years
• Experience managing a technical team of at least 3 people
• Exposure to consumer facing products
• Strong technical background and ability to contribute to design and review
• Familiarity with our tech stack or an analogous tech stack

Technologies Used

• Web application frameworks : Ktor, Spring Boot, Ruby on Rails, Node.js, Java Play, AWS Lambda
• Languages : Kotlin, Java, Ruby, Javascript, Python
• Datastores : PostgreSQL, Aerospike, Redis, DynamoDB, Amazon Redshift
• Communication : HTTP, Amazon SQS, Sidekiq, Amazon SNS
• Server management : Amazon ECS, Docker
• Design frameworks : Domain Driven Design, Clean Architecture, Layered Architecture

Roles and Responsibilities

This role requires a person to drive the engineering of a set of products by aligning with business and product

stakeholders and building and upskilling a team to aid in this. The responsibilities include:

Business and product alignment and planning

• Work closely with business and product stakeholders to understand and align with product initiatives and iterations.
• Help shape the engineering requirement by aligning with the product manager and fleshing out concepts and user flows.
• Formalize business requirements into roadmaps and sprints.

1. Product and system development

• Drive high level modeling and design for projects, also focusing on non-functional aspects, including but not limited to database design, communication protocols, deployment systems, etc.
• Drive adoption of design frameworks like domain driven design, clean architecture, etc., resulting in a robust layered architecture.
• Drive good code review practices, using the review process as a mentoring tool to upskill people.
• Ensure test coverage of systems, partly through unit and integration testing, and partly through blackbox testing by collaborating with the Quality Assurance team, via good testing practices.

1. Project Management

• Drive the execution of the project by delegating tasks effectively.
• Resolve blockers through technical expertise, negotiation and delegation.
• Estimate timelines and ensure adherence to them through effective sync-ups and course corrections.

1. Maintenance

• Formulate SLAs and oversee their adherence for the various systems, effectively tracking issues and performance inefficiencies.
• Performance monitoring and optimization for systems.
• Drive technical re-design, remodeling and refactoring of systems for robustness and sustainability.

1. Team Management

• Typically manage a team of 3 - 6 members and a portfolio of 3 - 6 products.
• Do periodic assessment of reportees, chart their career growth paths and train them.
• Recruit members into the team by collaborating effectively with the recruitment team.

Product Overview

You will be contributing to products concerning both customers and partner drivers. Product sectors

include:

• Growth : You’ll build tools to help boost user growth on the platform including our industry bestdriver on-boarding, training and certification system, referral system, and lead managementmmodels.
• Lifecycle Management : Build tools to help users engage with the platform better, which includes rewards and recognition module, subscription service, account management tools, partner and customer wallets and payout modules, and churn detection systems among others.
• Transaction Experience : You’ll help deliver the most delightful booking experience to our customers and drivers. As part of this team, you’ll be responsible for our core booking system, pricing and payment systems, location tracking and filtering services, fraud prevention systems, and in-app ticketing and support among others.
• Fulfilment : As part of the fulfilment team, you’ll work on systems which ensure high degree of ride fulfilment on the platform. Tools including allocation methodologies and system, dynamic pricing, dynamic partner routing, and partner re-activation tools among others.
• Enterprise Solutions : You’ll help Porter’s enterprise customers achieve delivery excellence. You’ll build tools for contract management, fleet management, fleet and route optimisation tools, alerting and monitoring tools, and analytics suite among others.

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Midas is a fintech company that specializes in building state-of-the-art technological solutions for algorithmic trading, investments, and analytics for global financial markets. Headquartered in Mumbai, Midas aims to establish a strong presence in GIFT City (Gandhinagar), London, New York, and Singapore in the near future.

Our team consists of highly motivated and skilled individuals who serve sophisticated clients across various segments, including affluent individuals, high-net-worth individuals, ultra-high net-worth individuals, family offices, and institutions. We offer an excellent platform for personal and professional development within a highly committed and collaborative team in a mission-driven and results-oriented environment.

1. The ideal candidate should possess expert-level knowledge in technologies such as JavaScript, TypeScript, Node JS, MongoDB, Redis, Linux servers, and networking protocols (TCP and UDP). This includes understanding how to use these technologies to develop and deploy backend systems, as well as troubleshooting and optimizing them.
2. Proficient in automation technology, the candidate should be able to optimize existing infrastructure, identify and implement design patterns, and understand data structures and algorithms. This includes an ability to evaluate and recommend new technologies that can improve the performance and scalability of the system.
3. The candidate should be familiar with version control and project management tools such as GIT, JIRA, etc. and be able to use them effectively to manage and collaborate on code development.
4. Strong understanding of multithreading and multiprocessing concepts, and the ability to make tweaks and optimizations in similar domains for the purpose of improving performance and scalability.
5. Understanding of clustering and load balancing, including the ability to design and implement solutions that can improve the availability and scalability of the system.
6. Understanding of cyber security protocols and their application in the development and deployment of backend systems. This includes knowledge of best practices for securing systems, as well as the ability to identify and mitigate potential security threats.
7. Ability to implement CI/CD pipelines when needed. This includes an understanding of the various steps involved in creating, testing, and deploying code, as well as knowledge of the tools and technologies used to automate these processes.
8. Familiarity with tools such as NGINX or HAProxy and understanding how they can be used to improve the performance and scalability of the system.
9. Eagerness to learn and upgrade skills as per the demands of the product. This includes an ability to stay current with new technologies and best practices in the field, as well as a willingness to continuously improve one's own skills.
10. Proven experience in the industry and ability to work in a fast-paced environment. The candidate should have a solid understanding of the financial markets and the technology used to support them.
11. Strong problem-solving and analytical skills, ability to work independently and as part of a team. The candidate should be able to identify and solve complex problems and work effectively with others to achieve common goals.
12. Strong communication and interpersonal skills. The candidate should be able to effectively communicate with both technical and non-technical stakeholders, and work well in a team environment.

Responsibilities for NodeJS Dev

Integration of user-facing elements developed by front-end developers with server side logic.

Writing reusable, testable, and efficient code.

Design and implementation of low-latency, high-availability, and performant applications.

Implementation of security and data protection.

Integration of data storage solutions redis, mongodb.

Skill Requirement:

Strong proficiency with JavaScript or TypeScript.

Strong Knowledge of Node.js and frameworks available for it such as Express, StrongLoop.

Understanding the nature of asynchronous programming and its quirks and workarounds.

Good understanding of server-side templating languages.

Good understanding of server-side CSS preprocessors such as Stylus, Less.

Basic understanding of front-end technologies, such as HTML5, and CSS3.

Understanding accessibility and security compliance.

User authentication and authorization between multiple systems, servers, and environments.

Integration of multiple data sources and databases into one system.

Understanding fundamental design principles behind a scalable application.

Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.

Creating database schemas that represent and support business processes.

Implementing automated testing platforms and unit tests.

Proficient understanding of code versioning tools, such as Git.

Key Skills Required :

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Strong experience in building web applications using Django
4. Experience building REST APIs using DRF or Flask
5. Experience with some form of Machine Learning (ML)
6. Experience in using libraries such as Numpy and Pandas
7. Hands on experience with RDBMS such as Postgres or MySQL including querying
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

Responsibilities :

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
2. Building high quality code using coding standards based on the SRS/Documentation
3. Building component based, maintainable, scalable and reusable backend libraries/modules.
4. Building & documenting scalable APIs on the Open Spec standard
5. Unit testing development modules and APIs
6. Conducting code reviews to ensure that the highest quality standard are maintained
7. Securing backend applications and APIs using industry best practices
8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.
9. Optimizing code
10. Building and deploying the applications

As a Software Engineer at Quince, you'll be responsible for designing and building scalable infrastructure and build applications to solve some very interesting problems in the logistics and finance tech space.

Responsibilities:

• Design and architect solutions on the cloud for various business problems with workflow efficiency and scale in mind.
• Be on the forefront with the business team to learn, understand, identify and translate function requirements into technical opportunities.
• End-to-end ownership - from scoping the requirements to the final delivery of the solution with keen eye to details and quality.
• Build and improve logistics components for this innovative M2C supply-chain model.
• Build and maintain scalable ETL data pipelines.

Requirements:

• Bachelors/Masters/PhD in Computer Science or closely related subject.
• 1-5 years of experience in building software solutions.
• Good at data structures and their practical applications.
• Proficiency in Kotlin, Java, Python.
• Experience in deploying and maintaining applications on cloud platforms (Ex: AWS, Google cloud).
• Proficiency with SQL and databases - relational and/or nosql (Snowflakes, AWS RedShift, etc).
• Experience with messaging middleware such as Kafka is good to have.

Job Description

We are looking for a Back-End Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your coworkers into the application. A basic understanding of front-end technologies is therefore necessary as well.

Responsibilities

• Integration of user-facing elements developed by a front-end developers with server side logic
• Building reusable code and libraries for future use
• Optimization of the application for maximum speed and scalability
• Implementation of security and data protection
• Design and implementation of data storage solutions

Skills And Qualifications

• Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, Nodejs and CSS3
• Good understanding of server-side CSS pre-processors, such as LESS and SASS
• User authentication and authorization between multiple systems, servers, and environments
• Good Understanding of Mysql database.
• Management of hosting environment, including database administration and scaling an application to support load changes
• Data migration, transformation, and scripting
• Setup and administration of backups
• Outputting data in different formats