

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.

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Should have working experience between 6-8 years in Java development
Mandatory skills are good knowledge of object oriented concepts, experience of working on Spring boot application, should have worked on hibernate ORMS and candidate must have clear understanding of database concepts
Optional skills include knowledge of angular framework and postgreSQL database
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Qualifications
Master or Bachelor degree in Engineering/Computer Science /Information Technology
Additional Information
Skills and Competencies:
Strong documentation skills
Excellent communication skills, both written and verbal
Decision making and problem solving skills
Good organizational skills
The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.
Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.
Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.
Actively participates with other consultants in problem-solving and approach development.
Responsibilities :
Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.
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Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.
Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.
Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.
Coordinate with Data Architects, Program Managers and participate in recurring meetings.
Help and mentor team members to understand the data model and subject areas.
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Requirements :
- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.
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- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.
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- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.
- Have a deep understanding of the various stacks and components of the Big Data ecosystem.
- Hands-on experience with Python is a huge plus


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

• Have strong experience in Go
• Have expertise in implementing microservices (using tools and technologies for messaging, GraphQL, GRPC, REST API, etc)
• Have implementation experience in data visualization (knowledge graph, for example), workflow or business process management
• Have expertise in design and development using PostresSQL
• Have experience with Containerization (Docker, Kubernetes, AWS)
• Experience of Cloud AWS based instances and services (e.g. EC2, S3, ELB, RDS, IAM, Route53, CloudFront, ElastiCache)
• Strong experience in enterprise application development, data structures, modern design patterns and microservices architecture
Strong proficiency in node.js and frameworks available for it such as Express.js
Strong proficiency in JavaScript and Typescript
Strong problem-solving skills with a good understanding of data structures algorithms
Hands-on experience and good knowledge of AWS services
Zeal and drive to take end-to-end ownership
Responsibilities :
-
Work with development teams and product managers to ideate software solutions
-
Maintenance of Node.js Backend
-
Working with MongoDB to create various features
-
Troubleshoot, debug and upgrade software
-
Create security and data protection settings
Requirements :
-
Proven experience as a backend developer in Node.js or similar role
-
Experience developing desktop and mobile applications
-
Familiarity with common stacks
Requirements :
-
Hands on experience building end to end systems
-
Minimum 1 yrs of experience with Javascript, Node.js and Mongo.DB
-
Good architectural & design skills
-
Strong coding, data structures and algorithms
-
The ability to own end to end responsibility - right from requirement to release
-
The ability to produce bug-free and production grade code
-
Experience and fine understanding of cross browser front end development issues
-
Exhibit a deep understanding of server virtualization, networking and storage ensuring that
-
The solution scales and performs with high availability and uptime

Key Responsibilities:
· You’ll be actively involved with development of server backend that support mobile apps.
· You’ll be architecting and implementing best-in-class complex ‘real time’ web software and/or messaging systems to power highly scalable apps for users.
· Translate high level business problems into scalable design and code. Create libraries & Utilities for larger consumption.
· Work closely with UI/UX designers to create exciting user experiences and ensure delivery of graphic assets as per modern web standards.
· You’ll be continuously keeping an eye on the latest cutting-edge technologies and leveraging these in one’s own and the team’s work as necessary.
· Care about the business results of what you build, not just the elegance of the technology you build.
· Work on the end to end stack (Platforms, UI, distributed systems, databases) rather than specialize in one area.
· And of course, get hands dirty by writing server-side code for mobile-based applications, create robust high-volume production applications, and develop prototypes quickly.
Eligibility
Desired Candidates Profile:
• 5+ years of experience on Node.js based web applications and systems development.
• Strong knowledge of MEAN, Linux/UNIX based development & client-side JavaScript/jQuery.
• Knowledgeable on ORMs, their utility and limitations.
• Knowledge of web services and serialization techniques like REST, SOAP, XML & JSON.
• Knowledgeable about caching mechanisms & tools like memcache, CDNs, nginx.
• Scripting experience in using Shell/Python for creating quick technology solutions to problems.
• Prior expertise of working with AWS Cloud, CDNs and other PAAS based services.
• A strong penchant for Object-Oriented Design.
• Experience of working with version control, bug tracking, continuous integration and other productivity enhancement software like SVN, Bugzilla, Jira etc.
• Prior experience in implementing Agile software methodologies.
• Passionate about software development & modern-day web technologies like:
• Server-Side JavaScript – Node.js, Backbone.js
• Web Sockets
• NoSQL based databases like MongoDB/Couchbase/Redis
• Big Data
• Taking responsibility and ownership in the team’s work.
Additional Requirements:
• B-Tech/BS/BE/BS/MS/M.Tech/MS in Electronics or Computer Science from a premier institute in India (IITs, BITS, NITs etc) or abroad.

