- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Analysis, Automate and backtest the existing strategies
- Employing statistical applications to visualize and/or transform the distribution or dispersion profile of individual signals and support the mathematical formulation of multiple signal algorithms to rank securities for investment.
- Candidates should have strong coding skills in Python (NumPy, Pandas, matplotlib, Zipline) /Django/Java script etc.
- Basic understanding of front-end technologies, such as HTML5, and CSS3
- Must have Database knowledge like Open source, PostgreSQL, MySQL/SQ
Learnability, teamwork and flexibility are important traits we look for.

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Role & Responsibilities
Design, develop, and implement high-quality software solutions for payment processing.
Maintain a regular release cadence and manage the product backlog.
Ensure timely and lossless communication across teams.
Uphold engineering values and best practices.
Collaborate with international teams to ensure successful product development and delivery.
Ideal Candidate
A strong technical background in software engineering and architecture, with experience in modern programming language
Ability to work independently with very little direction, taking full ownership of projects.
Identifying blind spots, anticipate challenges, and prioritize work effectively
Exceptional communication and organizational skills.
A Bachelor's degree in Computer Science, Engineering, or equivalent experience.
8+ years of relevant experience preferred
Proficiency using Python, Kafka, Kubernetes, and AWS
Experience with Distributed Task Queues such as Celery and RabbitMQ is preferred.
Experience with RDBMS/SQL is also preferred.
We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.
Key Responsibilities :
- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.
- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.
- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.
- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.
- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.
- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.
- Implement inter-service communication using gRPC and REST.
- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.
Required Skills & Qualifications :
- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.
- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.
- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).
- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.
- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.
- Proven experience with system architecture, distributed systems, and microservices.
- Strong familiarity with Any Cloud infrastructure and deployment practices.
- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.
We're seeking passionate, next-gen minded engineers who are excited about solving complex technical challenges and building innovative, first-of-its-kind products which make a tangible difference for our customers. As a Backend SDE-1, you will play a key role in driving strategic initiatives, collaborating with cross-functional teams across business, product, and operations to solve exciting problems. This role demands strong technical acumen, leadership capabilities, and a mindset focused on innovation and operational excellence.
We value individuals who think independently, challenge the status quo, and bring creativity and curiosity to the table—not those who simply follow instructions. If you're passionate about solving problems and making an impact, we'd love to hear from you.
Key Responsibilities
- Strategic Planning: Work closely with senior leadership to develop and implement engineering strategies that support business objectives. Understand broader organization goals and constantly prioritise your own work.
- Technical Excellence: Understand the onground problems, explore and design various possible solutions to conclude and implement scalable, extensible and secure software systems. Implement and learn best practices in technical architecture, coding standards, and software testing to ensure product delivery with highest speed AND quality.
- Project and Program Management: Setting up aggressive as well as realistic timelines with all the stakeholders, ensure the successful delivery of engineering projects as per the defined timelines with best quality standards ensuring budget constraints are met. Use agile methodologies to manage the development process and resolve bottlenecks.
- Cross-functional collaboration: Collaborate with Product Managers, Design, Business, and Operations teams to define project requirements and deliverables. Ensure the smooth integration of engineering efforts across the organization.
- Risk Management: Anticipate and mitigate technical risks and roadblocks. Proactively identify areas of technical debt and drive initiatives to reduce it.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 1+ years of experience in software engineering
- Excellent problem-solving skills, with the ability to diagnose and resolve complex technical challenges.
- Strong understanding of software design principles and patterns.
- Hands on with multiple programming languages and modern development frameworks.
- Understanding of relational and non-relational databases.
- Experience with Redis, ElasticSearch.
- Strong communication and interpersonal skills, with the ability to influence and inspire teams and stakeholders at all levels.
Skills:- MySQL, Python, Django, AWS, NoSQL, Kafka, Redis, ElasticSearch
What we are looking
- You must have experience in Python, including development of microservices using flask/fastapi/sanic.
- You hold knowledge of at least one Python web frameworks
- You have experience in NoSQL databases such as MongoDB
- You are familiar with relational databases and unstructured data.
- You are familiar with some ORM (Object Relational Mapper) libraries.
- You have prior exposure to code versioning tools such as Git.
- You understand fundamental design principles behind a scalable application
Good to have
- Experience in cloud services such as AWS
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of the threading concepts in Python and multi-process architecture
What you'll do
- Create database schemas that represent and support business processes
- Integrate multiple data sources and databases into one system.
- Develop and integrate RESTful APIs and services for business use cases
- Perform unit and integration tests on developed modules
Skills Required:
- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills
We are hiring for Backend Developer for Pune Kharadi.
Experience: Min 2+ Years with Python/Django.
Must have Skills:
- Excellent knowledge of Python/Django code structure.
- Good understanding of Design patterns and OOPS concepts.
- Good understanding of ORM.
- Good understanding of PostgreSQL.
- Better to have code optimization techniques.
- Implementing integrated technology-based solutions and identifying integration opportunities for a similar package of services.
- Excellent knowledge of Linux, Nginx.
- Excellent knowledge of celery, RabbitMQ
- Excellent Knowledge of Git.
Additional skills:
- Knowledge in Docker and Kubernetes is a plus.
- Good to have some knowledge of Angular and some frontend technologies like Html, CSS, Java script.
- Should take responsibility and ownership of delivery.
Education & Qualifications:
- Must have a Graduate/Master’s degree in any vertical or global equivalent from a reputed university.
- Certification in Python/data science would be added advantage.
Looking Data Enginner for our OWn organization-
Notice Period- 15-30 days
CTC- upto 15 lpa
Preferred Technical Expertise
- Expertise in Python programming.
- Proficient in Pandas/Numpy Libraries.
- Experience with Django framework and API Development.
- Proficient in writing complex queries using SQL
- Hands on experience with Apache Airflow.
- Experience with source code versioning tools such as GIT, Bitbucket etc.
Good to have Skills:
- Create and maintain Optimal Data Pipeline Architecture
- Experienced in handling large structured data.
- Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
- Experience with any cloud platform (GCP is a plus)
- Experience with JQuery, HTML, Javascript, CSS is a plus.
We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help
businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focused on creating value for our customers and help them succeed.
How we work
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At
serious scale! Read more on Become a DataWeaver
What do we offer?
- Opportunity to work on some of the most compelling data products that we are building for online retailers and brands.
- Ability to see the impact of your work and the value you are adding to our customers almost immediately.
- Opportunity to work on a variety of challenging problems and technologies to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses, trainings, and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Roles and Responsibilities:
● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics
functionality
● Build robust RESTful APIs that serve data and insights to DataWeave and other products
● Design user interaction workflows on our products and integrating them with data APIs
● Help stabilize and scale our existing systems. Help design the next generation systems.
● Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
● Work closely with the Head of Products and UX designers to understand the product vision and design
philosophy
● Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and
interns.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Be a tech thought leader. Add passion and vibrancy to the team. Push the envelope.
Skills and Requirements:
● 5-7 years of experience building and scaling APIs and web applications.
● Experience building and managing large scale data/analytics systems.
● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices.
● Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python.
● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic.
● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc.
● Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies.
● Working knowledge linux server administration as well as the AWS ecosystem is desirable.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.









