Design and implement stable and performant SaaS products utilizing both frontend and backend technologies such as Java
Own a complex set of internal/external services and data sets.
Execute full SDLC (design, build, document, unit/functional/load test, and deploy) APIs, UIs, applications, and infrastructure needed to scale our products and platform.
Address latency and throughput challenges in data process and request serving.
Design and develop high volume enterprise scale data service applications, which will handle billions of data points weekly.
Build and manage large scale distributed system platforms and services built using Big Data technologies.
Evaluate existing software to identify enhancement opportunities. This will include tackling latency, throughput challenges in data processing and request serving.
Set up efficient operational processes including continuous deployment pipelines (CI/CD), testing automation, and appropriate monitoring and alerts.
Actively participate in design discussions, team planning and code reviews. Provide insightful and constructive feedback for team and individual improvement.
Troubleshoot software failures by reviewing code errors, logfiles, metrics, using debug functions, and other common troubleshooting techniques.
Provide guidance to junior engineers about software development, operational excellence.
Basic Qualifications
Bachelor s degree in Computer Science or a related technical field.
4+ years of professional development experience in modern programming languages such as Java with strong proficiency in JavaScript and Typescript.
2+ years of professional development experience in building REST/GraphQL APIs with strong proficiency in React.
Experience with LLMs and other machine learning models.Experience with AWS services including, S3, SQS, CloudFront, SNS, ECS, EC2, Route 53, Lambda, Kinesis.
Experience using Database technologies: Mongo / Dynamo / MySQL / Postgres / RDS.
Experience with Elasticsearch/ OpenSearch.
Experience using state management libraries such as Redux, Zustand, Redux Toolkit.
Knows a broad range of design approaches and when to use them (and when to not).
Understands a broad range of data structures and algorithms, and which to use, or not.
Understands the maintenance characteristics, runtime properties, and dependencies of a software (e.g., build dependencies).
Knows how to be efficient with compute resources: hardware, database, memory/CPU, etc.Understands how to thoroughly test functionality of complex software systems.
Experience working with Agile methodologies.
Strong analytical and excellent problem-solving skills, with a propensity towards learning new tools and technologies.
Comfortable writing SQL and hands-on knowledge of working with large datasets with billions of records.
Good To Have:
Master s degree in Computer Science or a related technical field.
Experience working in a startup, retail, digital advertising, or e-commerce environment.
Experience building complex applications on distributed systems that have been successfully deployed for a large customer base.
Experience with Big Data technologies (streaming and batch processing).Experience with LLMs and other machine learning models.
End-to-end software development experience. History of delivering high quality production systems/services.
Experience designing with an emphasis on scalability and sustainability
