Software Engineer - Python
Pune, Maharashtra
Onit
Legal Workflow Software and Business Process Automation Solutions. Better Strategic Decisions Across the Enterprise. Schedule a Demo Today!R&D - Onit (SimpleLegal) - Pune, Maharashtra, India - Full Time
We are looking for startup-minded software engineers to be the foundational members of our rapidly growing Engineering organization. Our engineers play a key role in product development, from concept to launch, so your ideas have impact. Our list of over 200 customers includes a range of companies from AirBnB, Sequoia Capital, MGM, Reddi and Github.
Our culture is focused on ownership, transparency, and community.
The Role
As a Python Developer, you will get the opportunity to:
- Ship quality product
- Produce great, performant code while minimizing debt
- Participate in support of the product
- Impact the engineers around you
- Incorporate best practices and build tooling to help enforce them
- Have ownership within our platform
- Ensure software quality through code reviews and knowledge sharing
- Participate in SimpleLegal’s API-first strategy, building out the fundamentals for our platform
- Identify and incorporate libraries and technologies that will ease and accelerate development
- Explore and build out new products such as:
- a generic rules engine that allows customers to programmatically create customized workflows
- a flexible reporting system that safely allows users to execute arbitrary queries on authorized data
- a permissioning system to give users flexible roles and data access
- Build a SimpleLegal brand in the market
- Be one of the founding members of a new SimpleLegal Engineering team
- Contribute to culture, team and recruiting.
- Attend/host meetups, visit universities, contribute to blog, open source community
QUALIFICATIONS:
- 3+ years of delivering customer facing web products using Python/Django with production experience
- Experience building and supporting enterprise SaaS systems
- Agile process experience, ability to work in small teams; startup experience
- Enjoy mentoring other engineers
- Experience with Kubernetes and AWS cloud services.
BONUS POINTS:
Extra credit for experience with any of the following Python libraries: NumPy, SciPy, Pandas, Matplotlib, Seaborn, Bokh, Plotly, SciKit-Learn, Theano, TensorFlow, Keras, NLTK, Gensim, Scrapy, Scapy, nose, iPython, wxPython, Pillow, Stasmodels, Pipenv, PyTorch, Caffe2, Pendulum, Dash, PyFlux, Fire, Imbalanced-learn, Flashtext
OUR TECH STACK:
Our applications are primarily built using Django and PostgreSQL on AWS. While our users typically interact with SimpleLegal through the UI, we also have an API implemented.
About SimpleLegal
SimpleLegal is a legal tech enterprise SaaS startup run by experienced founders, based in Mountain View, CA. We’ve created a software platform to run in-house legal operations. As a well-funded startup with a diversified customer base and meaningful revenue, we are bringing corporate legal teams into the modern age. Sales has Salesforce, Marketing has HubSpot, Legal has SimpleLegal. In May of 2019, SimpleLegal joined the Onit family as of an expansion to offer solutions to the leading companies around the world.
About Onit
Onit is a global leader of enterprise workflow solutions for legal, compliance, sales, IT, HR and finance departments. Our solutions transform best practices into smarter workflows, better processes and operational efficiencies. With a focus on enterprise legal management, matter management, spend management, contract management and legal holds, we operate globally and help transform the way Fortune 500 companies and billion-dollar legal departments bridge the gap between systems of record and systems of engagement. We help customers find gains in efficiency, reduce costs and automate transactions faster.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Django Engineering Finance GitHub HubSpot Keras Kubernetes Matplotlib NLTK NumPy Open Source Pandas Plotly PostgreSQL Python PyTorch R R&D Salesforce Scikit-learn SciPy Seaborn TensorFlow Theano
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