Backend Developer

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)

You will be responsible for:

• Building Python scripts to deploy our AI components into pipeline and production
• Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
• Managing our daily pipeline on both on-premise servers and AWS
• Working closely with the AI engineering, backend and frontend teams

You should have the following qualities:

• Deep expertise in Python including:
• Multiprocessing / multithreaded applications
• Class-based inheritance and modules
• DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
• Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
• Optimal multithreading / multiprocessing strategies
• Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
• Experience in creating soft real-time processing tasks is a plus
• Expertise in Docker-based virtualization including:
• Creating & maintaining custom Docker images
• Deployment of Docker images on cloud and on-premise services
• Experience with maintaining cloud applications in AWS environments
• Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
• Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
• Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
• Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Ideally a gamer or someone interested in watching gaming content online

Seniority: We are looking for a mid to senior level engineer

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply.

Work Experience:  4 years to 8 years

About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg. 

Job Description:

• We are looking to add a Software Engineer to contribute to the development, upgradation and management of our back end services for our website / PWA / app / chatbot / internal tools.
• You will be part of a lean team with a very steep learning / growth opportunity while working on and exploring some of the cutting edge technologies
• This is a full-time role in Mumbai with flexible working hours (including WFH)
• You will be working closely with the founder and be involved in strategic decisions such as back end architecture, tech stack selection, hiring, etc.
• We have multiple products in the pipeline and we need a strong team player who can contribute shoulder-to-shoulder with the existing team in the software development process.
• CTC offered: upto Rs. 22 Lakhs

• Must have qualities: logical & independent thinker; problem solver; result oriented; takes ownership; ability to work indepenently with end-to-end output delivery; ability to structure the code (to avoid rework in future)
• Experience in writing production quality code in NodeJS, Python, Java, or Ruby on Rails
• Hands on experience in design web application using ExpressJS, Koa, Django
• Experience in designing and developing REST API. Familiarity with GraphQL is a plus.
• Proficient in dealing with SQL and NoSQL databases like MySQL, PostgreSQL MongoDB, Elasticsearch.
• Experience with in-memory databases like Redis or MemCache; webserver like Apache, Nginx.
• Experience in stress testing and unit testing and familiarity with testing platforms is a plus
• Proven experience in implementing user authentication and authorization in distributed systems.
• Capability to integrate multiple data sources and databases into one system.
• Experience in designing and developing scalable system.
• Working experience with one of the cloud services like GCP, AWS , Digital Ocean, Azure, etc.
• Knowledge of low-code / no-code tools to expedite production is a plus
• Engineering degree; Computer Science preferably + minimum 2 years of work experience as a Back End Engineer (NOTE: Please do not apply if you do not meet this criteria)
• Clear communication, strong inter-personal skills

• Experience of a lifetime by disrupting the antiquated tech of Real Estate
• Steep learning curve with opportunity to
• Opportunity to generate immense wealth for yourselves from the equity allocation
• A good cash salary
• Standard perks (health insurance, medical benefits etc.)

1. CV screening
2. Coding Test
3. Technical Interview

• A Bachelors or master’s degree in engineering.
• 2-4 years of experience in software product development.
• Excellent in Data structure, Algorithms & Problem-solving skills.
• Should be willing to code in Node.js/Java/Python/ROR/Golang
• Write extensive, efficient code to address complex modules and that handles interaction between multiple components.
• Customer-focused, react well to changes, work with teams and able to multi-task.
• Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace.
• Must be a self-starter who can work well with minimal guidance and in fluid environment

Minimum 5-7years of professional experience building web-applications
Strong experience in backend development
Strong experience in AI/Machine Learning development, Data Analysis/Processing
Experience in creating robust and secure REST APIs
Hands-on exposure to RDBMS like PostgreSQL, MySQL, MariaDB etc.
Proficiency with one or more programming languages from Java, Python, Node/JavaScript
Solid familiarity working with cloud and related technologies, AWS, GCP and Azure cloud environments
Ability to do very quick research in unknown technologies
Startup mindset, comfort with chaos and multi-tasking ability
Strong programming fundamentals in Data Structures, Algorithms
An eye for writing performance optimum code in any tool set

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