Senior Server-side

Job Title : Python Django Developer

Location : Gurgaon (On-site)

Work Mode : 6 Days a Week (Work from Office)

Experience Level : 3+ Years

About the Role :

We are seeking a highly skilled and motivated Python Django Developer to join our team in Gurgaon. This role requires a hands-on developer with expertise in building scalable web applications and APIs using Python and Django. The ideal candidate will have a strong background in relational databases, message brokers, and distributed systems.

Key Responsibilities :

• Design, develop, and maintain robust, scalable, and secure web applications using Python and Django.
• Build and optimize back-end services, RESTful APIs, and integrations with third-party tools.
• Implement and maintain asynchronous task processing using Celery and RabbitMQ.
• Work with PostgreSQL to design and optimize database schemas and queries.
• Utilize Redis and Kafka for caching, data streaming, and other distributed system needs.
• Debug and troubleshoot issues across the application stack.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Ensure code quality through comprehensive testing, code reviews, and adherence to best practices.

Required Skills and Qualifications:

Technical Expertise:

• Proficiency in Python and strong experience with Django framework.
• Hands-on experience with PostgreSQL for database design and management.
• Familiarity with RabbitMQ, Celery, and Redis for asynchronous processing and caching.
• Experience with Kafka for building real-time data pipelines and event-driven architectures.

Other Skills:

• Strong understanding of software development best practices and design patterns.
• Proficiency in writing efficient, reusable, and testable code.
• Good knowledge of Linux/Unix environments.
• Familiarity with Docker and containerized deployments is a plus.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Ability to work independently and in a collaborative team environment.

Preferred Qualifications:

• Experience in microservices architecture.
• Exposure to DevOps tools and practices.
• Knowledge of front-end technologies like React or Angular is a bonus.

Key Responsibilities:

  Design, develop, and maintain efficient, reusable, and reliable Go code.

  Implement and integrate with back-end services, databases, and APIs.

  Write clean, scalable, and testable code following best practices and design patterns.

  Collaborate with cross-functional teams to define, design, and ship new features.

  Optimize application performance for maximum speed and scalability.

  Identify and address bottlenecks and bugs, and devise solutions to these problems.

  Stay up-to-date with the latest industry trends, technologies, and best practices.

Required Qualifications:

  Proven experience as a Golang Developer or similar role in software development.

  Proficiency in Go programming language, paradigms, constructs, and idioms.

  Experience with server-side development, microservices architecture, and RESTful APIs.

  Familiarity with common Go frameworks and tools such as Gin.

Knowledge implementing monitoring, logging, and alerting systems

  Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).

  Understanding of code versioning tools, such as Git.

  Strong understanding of concurrency and parallelism in Go.

  Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.

  Excellent problem-solving skills and attention to detail.

  Ability to work effectively both independently and as part of a team.

Role Overview:

We are looking for a skilled Golang Developer with 3.5+ years of experience in building scalable backend services and deploying cloud-native applications using AWS. This is a key position that requires a deep understanding of Golang and cloud infrastructure to help us build robust solutions for global clients.

Key Responsibilities:

• Design and develop backend services, APIs, and microservices using Golang.
• Build and deploy cloud-native applications on AWS using services like Lambda, EC2, S3, RDS, and more.
• Optimize application performance, scalability, and reliability.
• Collaborate closely with frontend, DevOps, and product teams.
• Write clean, maintainable code and participate in code reviews.
• Implement best practices in security, performance, and cloud architecture.
• Contribute to CI/CD pipelines and automated deployment processes.
• Debug and resolve technical issues across the stack.

Required Skills & Qualifications:

• 3.5+ years of hands-on experience with Golang development.
• Strong experience with AWS services such as EC2, Lambda, S3, RDS, DynamoDB, CloudWatch, etc.
• Proficient in developing and consuming RESTful APIs.
• Familiar with Docker, Kubernetes or AWS ECS for container orchestration.
• Experience with Infrastructure as Code (Terraform, CloudFormation) is a plus.
• Good understanding of microservices architecture and distributed systems.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with Git, CI/CD pipelines, and agile workflows.
• Strong problem-solving, debugging, and communication skills.

Nice to Have:

• Experience with serverless applications and architecture (AWS Lambda, API Gateway, etc.)
• Exposure to NoSQL databases like DynamoDB or MongoDB.
• Contributions to open-source Golang projects or an active GitHub portfolio.

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

As a Lead Engineer, you will:

• Design systems that deal with the scale of a billion messages per day
• Work closely with product managers, designers, frontend engineers, and QA to deliver features and improvements from the design phase to production.
• Communicating promptly and clearly with all stakeholders.
• Competence in writing clean, bug-free code and championing best practices in code quality, testing, security, and performance.
• Awareness of technologies used in their project and coding practices, and tools. 
• Cultivate a culture of ownership, learning, and continuous improvement within the team

What will contribute to your success?

• Minimum experience of 5 years in development with a similar stack
• Excellent knowledge of Golang, event-driven systems like Kafka, databases like MongoDB and Redis. 
• Good to have knowledge of React/Redux and application development around the frontend stack
• Autonomy, excellent analytical, problem-solving, organisational, interpersonal, and motivational skills.
• Ability to move cleanly from theoretical to implementation thinking.
• Experience with performance and optimisation problems and a demonstrated ability to both diagnose and prevent these problems
• Highly positive attitude and ability to build conducive working relationships with colleagues from all levels.

What we offer:

• A unique opportunity to join an international and collaborative startup environment in a hyper-growth context
• Hybrid working with 2 days of work from home.
• The chance to grow your professional and technical skills, with actual room for career progression
• A modern office in a central location with free fruits and drinks, and a lot of fun activities
• Excellent referral program where employees can choose a gift item worth 1.5 lac, including a bike, flight tickets, and many more.a
• 1.4 times your day salary if you're working on any week off or holiday due to critical tasks or issues
• An umbrella of leaves and holidays
• Budget to support your workspace at home
• Medical insurance of INR 10 lakh is borne by the company.
• An employee-friendly compensation structure that includes tax-saving optional components, where the employee can save extra tax
• Bi-annual global company offsite; inter-office trips.
• Virtual Festival and Birthday celebrations, Team parties, and team-building outings.

• Write lots of bug-free, efficient, scalable and reusable code.
• Write unit tests and take responsibility for the quality of your own code.
• Coach, encourage and mentor your fellow software developers to do the same.
• Consult with product owners to define, scope and plan new features.
• Test, evaluate and recommend technologies to improve the overall product.
• Be a key participant in the Agile process.
• Produce excellent documentation.
• Undertake and implement processes for smoother and efficient deployment of code base
• Maintain code base as it grows bigger and scales

What we value

• 2-3 Years of experience building and shipping API’s using python based frameworks
• Proficiency with NoSql Databases (Elastic, Mongo) is a must
• Experience in working with Amazon Cloud Services like SNS, SQS, VPC, etc. is preferred
• Experience with databases migration and system re-architecture is valued
• Ability to write modular, reusable, and clean code
• Comfortable with ticket management and documentation

Responsibilities

• You will design and develop large scale distributed services
• You will analyse and improve the efficiency, scalability, stability, and security of the platform as a whole.
• You will act as the primary owner of one or more components while driving innovation in your area of ownership
• You will proactively research & evaluate new tools, technologies, and techniques to improve the value of the system.
• You will work with engineering leadership in solving and architecting solutions for challenging or complex development issues.
• You will work independently and handle dependencies with very minimal oversight
• You will take initiatives in developing and maintaining integrations of best practices within the back-end.
• You will help identify systemic issues, performance bottlenecks and work on design/architect improvements.

Requirements

• You have 1 - 9 years of experience in software development.
• You have designed and scaled up the system.
• You have a strong understanding of Data Structures and Algorithms.
• You are an incessant problem solver and tougher the problem gets, more fun you have.
• You have strong command in any one or more of the following languages: Python and Django
• You understand the business impact of your decisions.

Good To Have

• You have prior experience in fintech companies

Traits We Are Looking For

• Experience in a specific tech stack doesn't matter for us.
• The general engineering mindset and aptitude is what matters more.
• Technically strong and curious.
• Should have a hacker mindset and should love exploring new technologies.

Desired Skills and Experience

Java, Python, Data Structures, Algorithms