Full Stack Lead Engineer

As Lead Engineer - Full Stack, you will work within the development team to build the annotation platform on both sides front-end and back-end. Collaborating with Product Managers, Architects and Software Engineers to research, design, implement and improve functionalities of the annotation platform as part of a Big Data analytic system. Lead the development and support of cost effective Application Solutions to meet the Company's business requirements.

Key Responsibilities

• Lead, design, develop, test, refactor and scale the next-gen data analytics platform, that provides data management, ETL pipelines, ML models integrations, rich visualizations, and information management around that.
• Be proactive in prototyping new ideas/components; Turn existing POC-level components into production-grade.
• Help improve our code quality through writing unit tests, automation and performing code reviews.
• Work with the product and design teams to understand end-user requirements, formulate
  use cases, and then translate that into a pragmatic and effective technical solution
• Taking ownership of the whole vertical of certain functional area.
• Increase and maintain test coverage.
• Participate in overall architecture discussion meetings.
• Provide clean trail of activity – source control, issue tracking, documentation.

·        Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.

Requirements

Requirements:

·        Computer science background, excellent knowledge of common data structures, and algorithms.

·        8-10 years of experience building SPA web applications (react, any JAVAScript frameworks like NextJS) and backend (java).

·        Clear hands-on mastery in traditional RDBMS (Postgres or MariaDB) and NoSQL databases

(MongoDB, Cassandra, Elastic Stack DynamoDB).

·        Docker, Kubernetes, HPC computing

·        Knowledge of web fundamentals: protocols, modern web standards.

·        Pristine knowledge of modern React (composition patterns, hooks, data access), complex state management (Redux/Mobx).

·        Experience wrapping existing JS libraries (SKDs) with framework abstractions.

·        Solid web foundation knowledge (HTML, DOM CSS), experience with Tailwind is a plus.

·        Strong knowledge of Java platform (JSCP and/or Oracle certified professional Java SE11 will be a huge plus).

·        Strong experience working with core Spring components (Security, Data/JPA, Web) and low level JDBC.

·        Experience building durable long-running processing pipelines, task orchestration, scheduling, etc.

·        Experience and passion in application profiling and low-level optimizations.

·        Fluent SQL is a must.
 

·        Ideally, you’ll also need

·        Big data experience is added advantage (Spark, Flink, Kafka, S3)

·        Experience building durable processing pipelines with Temporal.io

·        Experience working with column oriented OLAP engines (Clickhouse)

·        Experience integrating ML models into the custom data pipelines.

·        Experience using Docker/Kubernetes/MLOps is also a plus.