Backend – Python Developer

About the Role

We are actively seeking talented Senior Python Developers to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and who aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop both commercial and research AI solutions.

Required Skills:

• Write effective Python code to tackle complex issues
• Use business sense and analytical abilities to glean valuable insights from public databases 
• Clearly express the reasoning and logic when writing code in Jupyter notebooks or other suitable mediums
• Extensive experience working with Python 
• Proficiency with the language's syntax and conventions
• Previous experience tackling algorithmic problems
• Nice to have some prior Software Quality Assurance and Test Planning experience
• Excellent spoken and written English communication skills

The ideal candidates should be able to

• Clearly explain their strategies for problem-solving.
• Design practical solutions in code.
• Develop test cases to validate their solutions.
• Debug and refine their solutions for improvement.

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

• System engineering and implementation in Golang.
• Working on performance issues using creative experiments and internally developed product features.
• Research, propose, and integrate relevant open-source projects based on product objectives.
• Write organized, efficient, and well documented Python/Golang code as an example for junior engineers.
• Participation in all levels of product definition, design, implementation, testing, and deployment.
• Must include the ability to discuss abstract system architectures from ideas through implementation and
• creatively apply domain experience to solve technical challenges.
• Mentoring software engineers, fostering an environment of trust and accountability.

• Strong Golang skills to develop framework(s).
• Hands-on to design & develop re-usable framework components.
• Hands-On experience on developing framework, designing re-usable framework components.
• Experience in engineering practices such as code refactoring, design patterns, design driven development,
• Continuous Integration, building highly scalable applications, application security and functional programming.

• Knowledge of Cloud native would be an advantage.
• Understanding of Kubernetes from Architecture side and also understand the Standard API.
• Code contributed to CNCF or similar community will be plus.
• Performance benchmarking of K8’s or any cloud will be added advantage.

• Deep understanding of technology and passionate about what you do.
• Background in designing high performant scalable software systems with strong focus to optimize hardware cost.
• Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.
• Strong commitment to get the most performance out of a system being worked on.
• Prior development of a large software project using service-oriented architecture operating with real time constraints.

• You will get a chance to work on cloud-native and hyper-scale products
• You will be working with industry leaders in cloud.
• You can expect a steep learning curve.
• You will get the experience of solving real time problems, eventually you become a problem solver.

• Competitive Salary
• Health Insurance
• Open Learning - 100% Reimbursement for online technical courses.
• Fast Growth - opportunities to grow quickly and surely
• Creative Freedom + Flat hierarchy
• Sponsorship to all those employees who represent company in events and meet ups.
• Flexible working hours
• 5 days week
• Hybrid Working model (Office and WFH)

• Initial Resume screening call with our Recruiting team
• Next, candidates will be invited to solve coding exercises.
• Next, candidates will be invited for first technical interview
• Next, candidates will be invited for final technical interview
• Finally, candidates will be invited for Culture Plus interview with HR
• Candidates may be asked to interview with the Leadership team
• Successful candidates will subsequently be made an offer via email
• As always, the interviews and screening call will be conducted via a mix of telephonic and video call.

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

Candidates should have worked with Startups (IT Product Firms)

Should be from B2C Firms/Product/SaaS Firms

Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms

Your Experience Across The Years in the Roles You’ve Played

• 6+ years of technology experience (at least 2 years in direct engineering management)
• Managing a 5-15 member engineering team in an agile product org
• Track record of collaborative working with multiple stakeholders
• Planning and analysis with effective communication skills

You’ll Be Improving & Responsible For

• Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
• Collaboration across cross-functional stakeholders to ensure delivery timelines are met
• Implementing product engineering best practices, and evangelizing them within the org
• Engineering management with a strong sense of ownership
• Problem solving with a clear and analytical approach and organized work habits
• Technological innovation in agile product engineering scenarios
• Product and business management principles and metrics