Python Developer

Job Overview

Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.

Key Responsibilities

• Design, develop, and maintain scalable backend services and APIs using NodeJS and Python
• Build event-driven architectures using RabbitMQ and Kafka for real-time data processing
• Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing
• Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows
• Design AI-powered features such as recommendation systems, document processing, or conversational interfaces
• Ensure system reliability, security, and low-latency performance for mission-critical systems
• Lead technical design discussions, conduct code reviews, and mentor junior engineers
• Optimize database queries, implement caching strategies, and improve overall system performance
• Collaborate with cross-functional teams to deliver end-to-end product features
• Implement monitoring, logging, and observability solutions

Required Skills and Qualifications

• 2+ years of professional backend development experience
• Strong expertise in NodeJS and Python for production-grade applications
• Proven experience building RESTful APIs and microservices architectures
• Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering)
• Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics)
• Strong proficiency in PostgreSQL, including query optimization and schema design
• Hands-on experience with RabbitMQ and Kafka
• Experience with BigQuery or similar data warehousing solutions
• Solid understanding of distributed systems, scalability patterns, and high-traffic applications
• Strong knowledge of authentication, authorization, and security best practices
• Experience with Git, CI/CD pipelines, and modern development workflows
• Excellent problem-solving and debugging skills
• Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus

Apply directly at: https://wohlig.keka.com/careers/jobdetails/136351

Sr Backend Developer (Full Stack – Python / Django)

Preference: Please apply only if you are an IIT/NIT graduate and have strong hands-on experience in full-stack development with Python & Django.

Insurance/InsurTech experience is preferred. Strong engineering fundamentals and a willingness to learn the domain are more important.

Office location – Bangalore

Work mode – Onsite

Working Days – 5 days a week

Budget - 12-15 LPA

Work Experience - 2-5 years

Role Summary

We’re hiring Sr Backend Developers with strong full-stack Django expertise to own backend workstreams end-to-end and contribute to frontend development when needed. Hands-on Python/Django experience is essential.

(HTML, JavaScript, jQuery, CSS).

Key Responsibilities

 Design, build, and maintain scalable backend services and APIs for Fuse-OS

 Own medium-to-complex workstreams end-to-end: data models, APIs, background jobs, and light UI

wiring

 Improve reliability, performance, observability, and maintainability of production systems

 Apply sound engineering practices for multi-tenant SaaS (security, permissions, data isolation)

 Collaborate closely with frontend, QA, and product/delivery to ship high-quality releases

 Mentor other backend engineers through design discussions, pairing, and code reviews

 Participate in architecture discussions and help evolve platform technical standards

 Support production troubleshooting and continuous improvement of engineering quality

Required Skills & Qualifications

 Solid experience with Django REST Framework, asynchronous job processing (e.g., Celery), Redis, and

PostgreSQL

 Proven ability to design data models, write migrations, and ship maintainable APIs

 Full-stack capability: HTML, JavaScript, jQuery, and CSS sufficient to complete UI wiring without blocking

frontend

 Strong debugging skills across application, database, and background-job layers

 Experience collaborating in Agile teams with clear quality standards and delivery cadence

Preferred / Nice to Have

 Hands-on Selenium automation experience with Python (big plus)

 AWS familiarity (compute, storage, messaging, monitoring, IAM basics) — optional but strongly preferred

 Experience with multi-tenant architectures, containers, and production SaaS operations

 Exposure to document/data processing pipelines, reconciliation-style systems, or enterprise integrations

 Awareness of application security, RBAC, auditability, and privacy-by-design practices

 Interest in AI-assisted product workflows and intelligent automation

What We Offer

 Opportunity to build a category-defining Insurance Distribution Operating System (Fuse-OS)

 Work on modern multi-tenant SaaS architecture with meaningful ownership and mentoring

 Collaborative product and engineering culture focused on quality and customer outcomes

 Exposure to enterprise SaaS, AI-enabled workflows, and large-scale operational systems

Technical Expertise

• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks

and best practices.

• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or

DynamoDB.

• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-

availability system design.

• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.

• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and

design patterns.

• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment

systems.

• High-Performance Systems – Implemented solutions that handle high availability, concurrency,

and low-latency requirements.

Key Responsibilities

● Lead the architecture, design, development, and delivery of scalable backend services

using Python.

● Own technical direction and architectural decisions for backend systems and services.

● Design and build robust RESTful APIs, microservices, and distributed systems

capable of handling high-scale workloads.

● Design and implement real-time communication systems, including WebSocket-based

services, where required.

● Drive system performance, scalability, reliability, availability, and security.

● Lead performance optimization, capacity planning, monitoring, debugging, and

production issue resolution.

● Establish and promote best practices around code quality, testing, observability, CI/CD,

and production readiness.

● Collaborate closely with frontend, product, DevOps, infrastructure, and other

cross-functional teams to deliver end-to-end solutions.

● Mentor and provide technical guidance to engineers, contributing to overall team growth

and engineering excellence.

● Review code and architecture designs, identify technical risks, and drive improvements

across backend systems.

● Take ownership of complex technical problems and deliver reliable, maintainable,

production-grade solutions.

Required Skills & Qualifications

● 5+ years of software engineering experience, with significant experience in backend

development.

● Strong expertise in Python and experience building production-grade backend

applications.

● Proven experience designing and developing REST APIs and microservices

architectures.

● Strong understanding of distributed systems, scalability, fault tolerance, and

high-availability architectures.

● Hands-on experience with WebSockets and real-time backend integrations.

● Strong experience with SQL/NoSQL databases, caching systems, and data-intensive

applications.

● Experience with performance optimization, monitoring, logging, debugging, and

production operations.

● Strong understanding of software engineering principles, design patterns, and clean

architecture.

● Proven ability to lead technical initiatives and make sound architectural decisions.

● Strong communication, collaboration, and technical leadership skills.

● Experience mentoring engineers and conducting effective code and design reviews.

We are looking for a Python Backend Developer to design, build, and maintain scalable backend services and APIs. The role involves working with modern Python frameworks, databases (SQL and NoSQL), and building well-tested, production-grade systems.

You will collaborate closely with frontend developers, AI/ML engineers, and system architects to deliver reliable and high-performance backend solutions.

Key Responsibilities

• Design, develop, and maintain backend services using Python
• Build and maintain RESTful APIs using FastAPI
• Design efficient data models and queries using MongoDB and SQL databases (PostgreSQL/MySQL)
• Ensure high performance, security, and scalability of backend systems
• Write unit tests, integration tests, and API tests to ensure code reliability
• Debug, troubleshoot, and resolve production issues
• Follow clean code practices, documentation, and version control workflows
• Participate in code reviews and contribute to technical discussions
• Work closely with cross-functional teams to translate requirements into technical solutions

Required Skills & Qualifications

Technical Skills

• Strong proficiency in Python
• Hands-on experience with FastAPI
• Experience with MongoDB (schema design, indexing, aggregation)
• Solid understanding of SQL databases and relational data modelling
• Experience writing and maintaining automated tests
• Unit testing (e.g., pytest)
• API testing
• Understanding of REST API design principles
• Familiarity with Git and collaborative development workflows

Good to Have

• Experience with async programming in Python (async/await)
• Knowledge of ORMs/ODMs (SQLAlchemy, Tortoise, Motor, etc.)
• Basic understanding of authentication & authorisation (JWT, OAuth)
• Exposure to Docker / containerised environments
• Experience working in Agile/Scrum teams

What We Value

• Strong problem-solving and debugging skills
• Attention to detail and commitment to quality
• Ability to write testable, maintainable, and well-documented code
• Ownership mindset and willingness to learn
• Teamwork

What We Offer

• Opportunity to work on real-world, production systems
• Technically challenging problems and ownership of components
• Collaborative engineering culture

We’re building financial data systems that power real business decisions — and we need someone who knows how to make Django, PostgreSQL, Celery, and APIs play nicely at scale.

You know what clean, reliable backend systems look like — because you’ve built them. You’ve handled authentication quirks, rate limits, and webhooks; you build code that’s maintainable, performant, and correct.

If you’re curious about financial data, transactions, and KPIs, and enjoy turning numbers into insight, this role is for you. (Experience with banking or accounting APIs is a big plus.)

What You’ll Do

• Build and maintain Django-based systems using Celery for async and scheduled tasks
• Integrate and manage data from multiple APIs (banking, accounting, analytics, etc.)
• Design and optimize internal APIs
• Improve reliability, scalability, and performance
• Collaborate closely with product and frontend engineers

Your Profile

You’re an experienced backend engineer who is strong in all core areas of modern Python development:

• Python, Django, Django REST Framework
• Celery and asynchronous / distributed task handling
• PostgreSQL and robust data modeling
• Docker and containerized deployment workflows
• Unit testing (pytest or equivalent) and maintainable test structures
• Git, CI/CD, and reliable deployment automation
• API integrations (REST, OAuth, webhooks)
• Caching strategies & background job handling (preferred Redis experience)
• Solid understanding of security, permissions, and performance optimization

You’ve already built or scaled production-grade systems and can take ownership from architecture to deployment.

Experience with fintech or data integration systems is an advantage.

How We Work

We’re a small, remote-first team that values ownership over micromanagement.

You’ll have freedom in how you work — what matters is your impact.

Our daily language is English.

About finban

We’re building a platform that helps businesses understand and manage their financial performance in real time by connecting and analyzing data from banking, accounting, and analytics systems.

If you’ve built or scaled production Django systems before and love clean architecture — we’d love to see your work.

Role overview

The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.

We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.

This is not a CRUD‑only backend role.

You will work on:

• long‑running jobs
• distributed processing
• GPU inference orchestration
• storage for embeddings and metadata
• integration with AI models
• reliability and observability at scale

Key responsibilities

Media ingestion & processing pipelines

• Design and implement ingestion pipelines for multi‑hour video and audio content.
• Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
• Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
• Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.

API & platform architecture

• Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
• Define clear contracts for internal services and external integrations.
• Implement authentication, authorisation and rate‑limiting for platform endpoints.
• Ensure backward‑compatible API evolution as the product matures.

Model‑serving & AI integration

• Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
• Design request/response flows that handle large payloads, streaming outputs and structured results.
• Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
• Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.

Storage, data models & performance

• Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
• Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
• Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
• Optimise performance for large datasets and high‑volume workloads.

Reliability, observability & operations

• Implement logging, metrics and tracing across services for debugging and monitoring.
• Set up health checks, circuit breakers and graceful degradation for critical services.
• Work with CI/CD pipelines to ensure safe, repeatable deployments.
• Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.

Requirements (must‑have)

Experience:

• 4–8 years in backend or platform engineering.
• At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).

Languages & frameworks:

• Strong proficiency in Python or Node.js (one primary, both are a plus).
• Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).

Distributed systems & pipelines:

• Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
• Experience building asynchronous, long‑running job pipelines.
• Understanding of idempotency, retries, backoff, and failure handling.

APIs & integration:

• Strong experience designing and implementing REST APIs (gRPC is a plus).
• Experience integrating with external services and handling network‑level failures.

Cloud & infrastructure:

• Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
• Experience with Docker; exposure to Kubernetes is a strong plus.

Data & storage:

• Experience with SQL and at least one NoSQL store.
• Ability to design schemas and data models for performance and maintainability.

Engineering quality:

• Strong debugging skills across services and environments.
• Experience with unit/integration tests for backend systems.
• Clear, structured communication in English.

Nice‑to‑have

• Experience with media/video processing (FFmpeg, transcoding, segmenting).
• Experience with AI/ML model integration (serving models, handling inference requests).
• Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience working with remote teams across time zones.

What we are explicitly NOT looking for

To reduce noise and mismatches, we are not looking for:

• Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
• Engineers who have only worked on small, single‑service apps without scale or complexity.
• Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
• Candidates who are uncomfortable with ownership of subsystems end‑to‑end.

Why join us

• Work on real, complex problems at the intersection of media, AI and distributed systems.
• Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
• Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
• Operate with high ownership, clear expectations and direct access to the CTO.

Position: Python Developer – Flask

Experience: 3+ Years

Location: Bangalore

Joining: Immediate Joiner Preferred

Employment Type: Full-Time

About the Role

We are looking for a skilled and passionate Python Developer with strong experience in Flask framework to join our growing development team. The ideal candidate should have hands-on experience in developing scalable backend applications, REST APIs, and integrating databases/services in a fast-paced environment.

Key Responsibilities

Develop, test, and maintain backend applications using Python and Flask.

Design and build RESTful APIs for web and mobile applications.

Collaborate with frontend developers, QA teams, and product stakeholders.

Write reusable, scalable, and efficient code.

Integrate third-party APIs and services.

Optimize application performance and troubleshoot issues.

Work with databases and ensure data security and integrity.

Participate in code reviews and technical discussions.

Maintain proper documentation for development activities.

Required Skills

3+ years of experience in Python development.

Strong hands-on experience with Flask framework.

Good understanding of REST API development.

Experience with MySQL/PostgreSQL/MongoDB databases.

Familiarity with ORM libraries such as SQLAlchemy.

Knowledge of Git/version control systems.

Understanding of software development lifecycle and agile methodologies.

Basic understanding of Docker and deployment processes is an added advantage.

Good debugging and problem-solving skills.

Preferred Skills

Experience with AWS/Azure or cloud platforms.

Exposure to microservices architecture.

Familiarity with CI/CD pipelines.

Knowledge of frontend technologies like React or Angular is a plus.

Educational Qualification

Bachelor’s degree in Computer Science, Information Technology, or related field.

What We’re Looking For

Immediate joiner or candidates with short notice period.

Strong communication and teamwork skills.

Self-driven and proactive mindset

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions that streamline complex business processes. Operating at the intersection of data engineering and cloud infrastructure, the company serves a diverse portfolio of clients across the fintech and enterprise SaaS sectors. With a culture rooted in technical excellence and agile problem-solving, Euphoric Thought Technologies empowers its engineers to own their modules from conception to deployment, fostering an environment where high-impact code is the primary driver of growth.

Role Overview:

As a Python Developer specializing in Flask, you will be responsible for architecting and maintaining robust backend services that power our core platforms. Must have hands on experience in React.js ,You will work closely with cross-functional teams, including product managers and frontend engineers, to translate business requirements into high-performance API endpoints. Your daily contributions will directly influence the scalability and reliability of our applications, ensuring that our users experience seamless performance even as our data volume and traffic continue to grow.

Key Responsibilities:

- Design and implement scalable RESTful APIs using the Flask framework to support high-traffic web applications.

- Optimize database queries and schema designs in SQL to ensure low-latency data retrieval for complex reporting modules.

- Deploy and manage backend services on AWS infrastructure, ensuring high availability and efficient resource utilization.

- Collaborate with the engineering team to conduct rigorous code reviews, maintaining high standards for code quality and maintainability.

- Troubleshoot and resolve production-level bottlenecks to improve the overall stability of the application ecosystem.

- Integrate third-party services and internal microservices to expand the functionality of our existing product suite.

Required Skillset:

- Demonstrated expertise in building production-grade applications using Python and the Flask framework with 5 years of professional experience.

- Strong proficiency in React.js.

- Hands-on experience with AWS cloud services, including EC2, RDS, and S3, for deploying and scaling backend infrastructure.

- Ability to communicate technical concepts clearly to non-technical stakeholders and work effectively in a collaborative, team-oriented environment.

- Strong analytical mindset with the ability to debug complex issues and provide long-term architectural solutions.

- Comfortable working in a hybrid office environment in Bangalore, demonstrating the ability to manage tasks independently while staying aligned with team goals.

- A degree in Computer Science, Engineering, or a related field is preferred, though equivalent professional experience is highly valued.

Experience:

• Python: 5 years (Preferred)
• AWS: 3 years (Preferred)
• Flask: 3 years (Preferred)
• React.js 4 years (Preferred)

Backend Developers

• Contract To Hire (Initial Engagement: 6 months)

Experience: 5+ years

Mandatory Skills:

● Node.js

● Python

● MongoDB

● PostgreSQL

● REST API design and development

● Backend architecture and service design

● Database design, indexing and query optimisation

● Performance tuning

● Authentication/authorisation

● Third-party integrations

● Asynchronous processing and background jobs

● Logging, monitoring and debugging

● Git and collaborative development

● Scalable, maintainable and testable backend services

● Architecture discussions, code reviews, debugging and production support

Good to have:

● Microservices

● Docker

● Cloud platforms

● Redis

● Message queues

● CI/CD

● Observability