Backend developer

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

About the Job

As a Cloud Backend Engineer you will design, develop, and maintain scalable and reliable backend systems in cloud environments. You will be responsible for building cloud-native applications, optimizing backend performance, and ensuring seamless integration with frontend services and third-party systems.

What You’ll Be Doing

• Backend Development
• Design and implement scalable and high-performance backend services and APIs for cloud-based applications.
• Develop microservices architectures and serverless functions to support business needs.
• Ensure backend systems are secure, reliable, and performant, adhering to best practices and industry standards.
• Cloud Infrastructure and Deployment
• Build and manage cloud infrastructure using platforms such as AWS, Google Cloud Platform (GCP), or Azure.
• Deploy and maintain backend services using cloud-native technologies (e.g., Kubernetes, Docker, AWS Lambda, Google Cloud Functions).
• Implement and manage CI/CD pipelines to automate deployment processes and ensure smooth delivery of updates.
• Performance Optimization
• Monitor and optimize the performance of backend services, including database queries, API responses, and system throughput.
• Implement caching strategies, load balancing, and other performance-enhancing techniques to ensure scalability and responsiveness.
• Troubleshoot and resolve performance issues and system bottlenecks.
• Database Management
• Design and manage relational and NoSQL databases, ensuring data integrity, scalability, and performance.
• Implement data access patterns and optimize queries for efficient data retrieval and storage.
• Ensure backup, recovery, and data security practices are in place.
• Integration and Collaboration
• Collaborate with frontend developers, DevOps engineers, and other stakeholders to integrate backend services with frontend applications and third-party systems.
• Participate in architectural discussions and provide input on system design and technology choices.
• Ensure clear communication and documentation of backend services, APIs, and system interactions.
• Security and Compliance
• Implement security best practices to protect backend services from threats and vulnerabilities.
• Ensure compliance with relevant regulations and standards, including data privacy and protection requirements.
• Conduct regular security assessments and vulnerability scans to maintain system integrity.
• Testing and Quality Assurance
• Develop and maintain automated tests for backend services, including unit tests, integration tests, and end-to-end tests.
• Perform code reviews and participate in quality assurance processes to ensure high code quality and reliability.
• Monitor and address issues identified during testing and production deployments.
• Documentation and Knowledge Sharing
• Document backend services, APIs, and infrastructure setups to facilitate knowledge sharing and support.
• Create and maintain technical documentation, including architecture diagrams, API specifications, and deployment guides.
• Share knowledge and best practices with team members and contribute to a collaborative development environment.

What We Need To See

• Strong experience in backend development, cloud technologies, and distributed systems, with a focus on building robust, high-performance solutions.
• Minimum 5 years of experience in backend development, with a strong focus on cloud-based applications.
• Proven experience with cloud platforms (AWS, GCP, Azure) and cloud-native technologies.
• Experience in designing and implementing RESTful APIs, microservices, and serverless architectures.
• Technical Expertise in:

1. Backend Development

• Strong experience with backend programming languages such as Node.js, Python
• Expertise in working with frameworks such as NestJS, Express.js, or Django.

2. Microservices Architecture

• Experience designing and implementing microservices architectures.
• Knowledge of service discovery, API gateways, and distributed tracing.

3. API Development

• Proficiency in designing, building, and maintaining RESTful and GraphQL APIs.
• Experience with API security, rate limiting, and authentication mechanisms (e.g., JWT, OAuth).

4. Database Management

• Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB).
• Experience in database schema design, optimization, and management. 

5. Cloud Services

• Hands-on experience with cloud platforms such as Azure,AWS or Google Cloud.

6. Performance Optimization

• Experience with performance tuning and optimization of backend services.

7. Security

• Understanding of security best practices and experience implementing secure coding practices.
• Soft Skills:
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Ability to manage multiple priorities and work in a fast-paced, dynamic environment.

• Hands on Work experience as a Python Developer
• Hands on Work experience in SQL/PLSQL 
• Expertise in at least one popular Python framework (like Django, Flask or Pyramid)
• Knowledge of object-relational mapping (ORM)
• Familiarity with front-end technologies (like JavaScript and HTML5)
• Willingness to learn & upgrade to Big data and cloud technologies like Pyspark Azure etc.
• Team spirit
• Good problem-solving skills
• Write effective, scalable code

• Managing the interchange of data between the server and the users.
• Development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end Integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well.
• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performant applications.
• Integration of user-facing elements developed by front-end developers with server-side logic
• Implementation of security and data protection.

• Should have worked on the Django REST framework.
• Familiarity with some Pandas, Numpy, text parsing/mining and ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture
• Good understanding of server-side templating languages
• Worked on Amazon cloud solutions
• Understanding of accessibility and security compliance
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Understanding of fundamental design principles behind a scalable application
• Familiarity with event-driven programming in Python
• Able to create database schemas that represent and support business processes
• Strong unit test and debugging skills
• Proficient understanding of code versioning tool
• Excellent written and verbal communication skills.
• Should know about HDL and LLD.
• Should know about making python packages
• Should have worked on microservice-based Architecture

We are seeking a lead Python Developer to lead the backend efforts and, in the process design, develop, and deploy its customer centric applications.

The person will have the opportunity to design and build an early stage, rapidly evolving platform from scratch and carry out these primary responsibilities -

Optimize components for maximum performance across multiple devices and browsers

Write performant REST APIs for both internal and external consumption

Build micro services and their deployment process

Work with problems of scale, leveraging technologies that are distributed in nature.

Perform code reviews

Required qualifications and must have skills

Excellent analytical and problem-solving skills

Proven-deep-expertise with Python programming (4+ years of hands-on experience in Python and backend development)

Building performant and scalable applications from scratch

Experience in working with frameworks like Django, Flask, etc.

Experience with building APIs and services using REST, SOAP, etc.

Experience with any RDBMS and strong SQL knowledge

Comfortable with Unix / Linux command line

Object-oriented concepts & design patterns

Sytem and database desinging skills

Nice to have Skills

Knowledge of other programming languages beyond Python

Familiarity with managing infrastructure on AWS/GCloud

Experience with working with/building data analytics pipleline

Familiarity with NoSQL databases

Good understanding of Docker and container platforms like Mesos and Kubernetes

Security-first architecture approach

Application benchmarking and optimization

Interpersonal Attributes

You are driven by the impact your work creates

You can answer the why behind any technological choice you make

You can work independently as well as part of a team

• 3+ years of experience with Ruby On Rails.
• Strong Project & Time Management Skills, along with the ability to apply these skills while working independently, or as part of a team.
• Knowledge of blockchain technology, smart contracts and cryptocurrency will be an added advantage
• Experience in fintech domain will be another added advantage
• Bachelor’s degree in computer programming, computer science, or a related field.
• Fluency or understanding of specific languages, such as Java, PHP, or Python, and operating systems may be required.

Hi All,

We are hiring!!

Company: SpringML India Pvt Ltd.

Role:Lead Data Engineer

Location: Hyderabad  

Website: https://springml.com/">https://springml.com/

About Company:

At SpringML, we are all about empowering the 'doers' in companies to make smarter decisions with their data. Our predictive analytics products and solutions apply machine learning to today's most pressing business problems so customers get insights they can trust to drive business growth.

We are a tight-knit, friendly team of passionate and driven people who are dedicated to learning, get excited to solve tough problems and like seeing results, fast. Our core values include placing our customers first, empathy and transparency, and innovation. We are a team with a focus on individual responsibility, rapid personal growth, and execution. If you share similar traits, we want you on our team.

What's the opportunity?

SpringML is looking to hire a top-notch Lead Data Engineer who is passionate about working with data and using the latest distributed framework to process large dataset.

As a Lead Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. 

In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.

Responsibilities:

•  Ability to work as a member of a team assigned to design and implement data integration solutions.
•  Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open-source solutions.
•  Learn quickly – ability to understand and rapidly comprehend new areas – functional and technical – and apply detailed and critical thinking to customer solutions.
•  Propose design solutions and recommend best practices for large scale data analysis

Skills:

•  B.tech degree in computer science, mathematics or other relevant fields.
•  6+years of experience in ETL, Data Warehouse, Visualization and building data pipelines.
•  Strong Programming skills – experience and expertise in one of the following: Java, Python, Scala, C.
•  Proficient in big data/distributed computing frameworks such as Apache Spark, Kafka,
•  Experience with Agile implementation methodology 

Minimum 3+ Years of hands-on experience in developing Python Applications. 
Excellent knowledge of Python and experience in or in-depth understanding of core Python 
Knowledge in Lists, Tuples, and Dictionaries
Excellent knowledge of Python Constructor- Parameterized and Non-Parameterized
Must have experience in core python concepts about data structure, OOPS concepts, XML parsing, XML to JSON, optimizations

Developers should have developed Web Based applications., back end, SQL
Agile and scrum methodology

Should not be test automation, Application development frame work

Excellent Communication Skill

Good to Have 

Django/ Flask 
Strong Hands-on experience in HTML, CSS, DTL(Django Template Language), SASS.
knowledge of SQL