Python Engineer - Mumbai Office (on contract)
About Databook
Databook is the world’s first AI-powered enterprise customer intelligence platform. Dubbed “Moneyball for Sales”, Databook was founded in 2017 to give enterprise sales representatives and go-to-market teams a differentiating advantage. Today, leading enterprise companies rely on Databook to help their teams engage as experts – improving the buying experience for customers and accelerating revenue acquisition. Our customers include Microsoft, Salesforce, Databricks, and more. We are a Series B company backed by Bessemer Ventures, DFJ Growth, M12 - Microsoft’s Venture fund, Salesforce Ventures and Threshold Ventures. We are a customer-focused, innovative, and collaborative learning organization. We are headquartered in Palo Alto, CA with a distributed team working across the globe.
About our Technology Team
The Engineering team at Databook brings together collaborative and technically passionate individuals to deliver innovative customer intelligence solutions that drive real value for our clients. Led by past Google and Salesforce engineers, this group offers an opportunity to explore all aspects of the engineering lifecycle, to be close to the client, and to make a real difference. We give our engineers a lot of autonomy to own and solve complex, novel problems - from system design to natural language processing (NLP) and machine learning (ML). The Engineering team offers a place where engineers can collect an abundance of experience and practice their leadership skills; all in a hyper-growth context.
The Opportunity
We're seeking a proactive and skilled Python Engineer to play a crucial role in enhancing the reliability, scalability, and performance of our platform. This position offers an exciting opportunity to collaborate closely with cross-functional teams to design and implement scalable solutions that leverage the power of AWS Cloud and other modern technologies. The ideal candidate will possess a strong understanding of Linux systems and scripting, as well as experience in building and integrating web frameworks.
If you're passionate about driving excellence, building robust systems, and contributing to the evolution of a cutting-edge AI platform, we invite you to join our dynamic team!
Responsibilities
- Write clean, maintainable, and well-documented code that aligns with programming best practices, ensuring scalability and reusability.
- Work with AWS services to deploy and manage cloud-based applications.
- Utilize Linux and Bash scripting to automate processes and improve system efficiency.
- Build and enhance command-line interface (CLI) applications for internal use, ensuring ease of use and scalability.
- Participate in code reviews to ensure code quality and best practices.
- Build exciting PoCs and translate them to new IPs and products.
- Work on automating redundant tasks by parsing documents, raw data, etc and getting them to a gold standard.
- Design, develop, and test PoCs and prototype solutions to validate new ideas and assess feasibility.
Skills & Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a similar technical field, or substantial relevant experience
- 2-3 years of in-depth knowledge of Python with experience in rapid prototyping, development and scalable software design with proficiency in unit testing, debugging, and maintaining high-quality code throughout the development lifecycle.
- Strong understanding of programming fundamentals and best practices, including SOLID principles, modularity, familiarity with functional approaches and code reusability.
- Experience with Postgres, MongoDB and other databases/storage technologies.
- Comfortable working in Linux environments with experience in writing Bash scripts for automation and deployment tasks.
- A creative and analytical mindset, with a passion for experimenting and developing innovative solutions to complex problems.
- Experience in developing custom CLI applications using Python for internal tools or automation is a plus.
- Understanding of containerization (Docker) and CI/CD pipelines - including building post-commit hooks with Github or Gitlab.
- Strong analytical and problem-solving skills with a focus on long-term solutions.
- Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.
- Experience in creating technical documentation and communicating complex technical details clearly.
Working Arrangements:
- Hybrid (Mumbai) or Remote (Pan India): This role offers flexibility to work in a hybrid setup from our Mumbai office or fully remote from anywhere within India, based on the candidate's preference and organizational needs.
Ideal candidates will also have:
- Experience with or interest in Machine Learning and Generative AI.
- Experience with performance, load, and stress testing frameworks.
- Familiarity with security best practices and tools for cloud environments.
Databook is the pioneer and leader in Strategic Relationship Management (SRM). The company’s award-winning SRM platform leverages advanced AI and NLP to empower the world’s largest B2B sales teams to create, manage, and maintain strategic relationships at scale. The platform ingests and interprets billions of financial and market data signals to generate actionable sales strategies that connect the seller’s solutions to a buyer’s financial pain and urgency. On average, Databook clients achieve 5x more customer meetings, 3x more pipeline, 2.5x larger deals and 1.5x faster cycle time.
