Python Backend Developer (Python +AWS)

Description

Join company as a Backend Developer and become a pivotal force in building the robust, scalable services that power our innovative platforms. In this role, you will design, develop, and maintain server‑side applications, ensuring high performance and reliability for millions of users. You’ll collaborate closely with cross‑functional product, front‑end, and DevOps teams to translate business requirements into clean, efficient code, while participating in code reviews and architectural discussions. Our dynamic environment encourages continuous learning, offering opportunities to work with cutting‑edge technologies, cloud infrastructures, and modern development practices. As a key contributor, your work will directly impact product quality, user satisfaction, and the overall success of company's mission to streamline hiring solutions.

Requirements:

• 1–15 years of professional experience in backend development, with a strong focus on building APIs and microservices.
• Proficiency in server‑side languages such as Python, Java, Node.js, or Go, and solid understanding of object‑oriented and functional programming paradigms.
• Extensive experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis), including schema design and query optimization.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes.
• Hands‑on experience with version control (Git), CI/CD pipelines, and automated testing frameworks.
• Strong problem‑solving abilities, effective communication skills, and a collaborative mindset for working within multidisciplinary teams.

Roles and Responsibilities:

• Design, develop, and maintain high‑throughput backend services and RESTful APIs that support core product features.
• Implement data models and storage solutions, ensuring data integrity, security, and optimal performance.
• Collaborate with front‑end engineers, product managers, and designers to define technical requirements and deliver end‑to‑end solutions.
• Participate in code reviews, provide constructive feedback, and uphold coding standards and best practices.
• Monitor, troubleshoot, and optimize production systems, implementing robust logging, alerting, and performance tuning.
• Contribute to the continuous improvement of development workflows, including CI/CD automation, testing strategies, and deployment processes.
• Stay current with emerging technologies and industry trends, proposing innovative approaches to enhance system architecture.

Budget:

• Job Type: payroll
• Experience Range: 1–15 years

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from Tier - 1 engineering institutes (IITs, BITS, are highly preferred)

1.   Should have worked in Agile methodology and microservices architecture

2.   Should have 7+ years of experience in Python and Django framework

3.   Should have a good knowledge of DRF

4.   Should have knowledge of User Auth (JWT, OAuth2), API Auth, Access Control List, etc.

5.   Should have working experience in session management in Django

6.   Should have expertise in the Django MVC and uses of templates in frontend

7.   Should have working experience in PostgreSQL

8.   Should have working experience in the RabbitMQ messaging channel and Celery Analytics

9.   Good to have javascript implementation knowledge in Django templates

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

We are seeking a skilled Node.js + Python Developer to join our team. The successful candidate will be responsible for developing and maintaining web applications using Node.js and Python. The ideal candidate will have a strong understanding of both Node.js and Python, as well as web application development. Responsibilities:

Developing and maintaining web applications using Node.js and Python

Write clean and efficient code that adheres to Node.js and Python coding standards

Collaborate with other developers and team members to design and implement new features

Troubleshoot and debug issues in existing code

Create and maintain technical documentation

Requirements:

Strong knowledge of Node.js and Python

Familiarity with front-end technologies such as HTML, CSS, and JavaScript

Experience with MySQL/Mongo and database design

Good understanding of object-oriented programming and design patterns

Strong problem-solving skills and attention to detail

Good communication skills and ability to work in a team environment

Preferred Qualifications:

Experience with popular Node.js frameworks such as Express or Koa

Experience with OpenAi APIs

Knowledge of machine learning and data science libraries in Python such as TensorFlow, Scikit-learn, and Pandas

Experience with RESTful API development

Experience with payment gateway integrations

• Consultant/freelancing role
• Design and build advanced high-quality applications in .Net,.Net Core, Azure or AWS. hands on programming on C#, Web API, NOSQL DB and Azure, AWS.
• Knowledge of software development life cycle.
• Able to handle and manage the projects independently.
• Should be hands on developer and write production level code flawlessly
• Will be involved in client interactions and gathering project requirements, suggest best solutions considering NFRs insights
• Someone with an ability to ensure the performance, quality, and responsiveness of applications.
• Ability to work within a rapidly evolving environment.
• Eager to learn and adapt to new technologies.
• Bring new ideas and technologies to the team that can improve our product or process.
• Help maintain code quality, unit test cases, documentation, etc