
Roles and Responsibilities
- Apply knowledge set to fetch data from multiple online sources, cleanse it and build APIs on top of it
- Develop a deep understanding of our vast data sources on the web and know exactly how, when, and which data to scrap, parse and store
- We're looking for people who will naturally take ownership of data products and who can bring a project all the way from a fast prototype to production.
- Integrating and maintaining Python services
- Developing robust microservices and applications
Desired Candidate Profile
- Strong relevant experience of at least 2-3 years.
- Strong coding experience in Python3.
- Should have good experience with Django and NodeJs.
- Proficient on modelling applications on both RDBMS and NOSQL databases
- Should have experience in web scraping
- Good understanding and hands-on with scheduling and managing tasks with cron
- Should have experience with microservice architecture
- Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement
- Should have experience in shell scripting, GIT and docker
- Writing unit tests for 100% code coverage.

About Legistify
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- A can-do attitude to new challenges.
- Good Understanding of Computer Science Fundamentals such as Operating Systems, Databases, and Networking.
- Knowledge of Python programming language along with a basic understanding of Python Web Frameworks such as Django, and Flask.
- Basic knowledge of Cloud Computing(AWS) will be a Plus.
- Basic Knowledge of Angular Front-end Framework will be a Plus.
- We operate in a fast-paced, startup-like environment, so the ability to work in a dynamic, agile environment is essential.
- Strong written and verbal communication skills are essential for this role. You must communicate with clients, team members, and stakeholders.

Requirements
- 3+ years work experience with production-grade python. Contribution to open source repos is preferred
- Experience writing concurrent and distributed programs, AWS lambda, Kubernetes, Docker, Spark is preferred.
- Experience with one relational & 1 non-relational DB is preferred
- Prior work in the ML domain will be a big boost
What You’ll Do
- Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
- Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
- Build integrations with other platforms to make it easy for our customers to use our product without changing their workflow.
- Write maintainable, scalable performant python code
- Building gRPC, rest API servers
- Working with Thrift, Protobufs, etc.

- Deployment and production support.
- Strong knowledge of SQL database and experience in writing queries with and without ORM.
- Designing and creating RESTful APIs for internal and partner consumption
- Experience of code versioning tools, such as Git, Bitbucket, Github


Roles & Responsibilities
- Writing good quality code.
- Be able to design ,implement and deploy scalable backend applications on cloud(AWS/Azure).
- Be able to take ownership of projects and deliver them on time.
- Be able to lead a team and mentor junior developers.
Qualifications:
- BE/BTech degree in CS/IT or similar related field.
- 4+ years experience as backend engineer.
- Good knowledge in Python and at least one of the framework - Django, Flask, FastAPI, etc.
- Hands on experience in building microservices applications on AWS/GCP/Azure.
- Good understanding of platforms(Docker, AWS/Azure).
- Must have good understanding of Data Structures/Algorithms/Databases and other CS concepts.
- Experience working in multiple databases and data modelling.
- Experience writing APIs and related technologies like REST, JSON, websockets, grpc etc.
- Should be inquisitive enough picking up any language and frameworks based on need.
- Should be able to design/implement/deploy end-to-end systems.
- Having good knowledge on deploying cloud applications and with Dockers/Kubernetes is a plus.
- Experience building end-to-end analytics systems is a plus.



1. As a founding backend engineer, design, build and evolve the backend architecture
of our product to support customer-facing and internal features to serve 1000s of
customers and millions of data requests per hour
2. You will engage in technical decisions from choosing the optimal database design to
best-practice infrastructure decisions
3. You will proactively incorporate best practices for security, analytics, and monitoring
4. You will contribute to DevOps by building procedures for deployment,
troubleshooting, and maintenance
5. You will work directly with the CTO to set the tone for the engineering culture
This role is tailor-made for you if
1. You have 4+ years of experience designing, building, and deploying production-level
large-scale web applications
2. You have hands-on experience with Node JS and other programming languages
(Ruby, Go, Python)
3. You have worked previously on PostgreSQL, SQL, and Message Queue 4. Practical
knowledge and experience in deploying and managing big data applications on a cloud
platform like AWS or Google Cloud.
5. You are comfortable conducting code reviews and giving feedback to ensure high
standards of code maintainability and extensibility.
6. You are energized by ambiguity and can create structure in a dynamic, fast-paced
environment
7. You’ve high confidence, low ego, and are generally a good human being :)
You earn brownie points if
1. You love Slack (we are a Slack first company)
2. You have been part of an early/mid-stage start-up before
3. You love TechCrunch. We are obsessed with reading and talking about startups
4. You have created some amazing open-source projects


Your responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 4+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases (Relational and Non-Relational). Ex: Cassandra, MongoDB, Postgresql
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Sklearn, NLTK, tensorflow, HuggingFace Transformers
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good with Humor and Team player


You will get to own and build world-class, stable, secure and scalable solutions
Ownership, trust and flexibility comes with the job and you are expected to consistently raise the bar in terms of technical proficiency and quality of code.
You will get to work with a highly experienced team in a very informal, yet results-oriented environment
You should think consumer-first and have the ability to work in a dynamic and fast-paced environment
You will actively participate in defining stable and scalable engineering processes to meet the demands of a fast growing team.
3+ years hands-on application development experience in Python, Django, Flask & NodeJS
Highly proficient in SQL and NoSQL databases and Redis.
Should have a strong hands-on working knowledge on AWS services like EC2, S3, Route53, SES, SQS, SNS etc.
Should have successfully built and deployed complex and resource efficient backend APIs that work flawlessly at scale
Should be willing to take on responsibility and ownership and should be highly motivated and fun to work with :)
Experience in working at fast-paced startups is a big plus!
If you have the knowledge, experience and hunger to make a positive impact, we’d love to meet you.









