As a Full Stack Engineer, 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.
Key responsibilities
- 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.
- Participate in code reviews and thoughtfully provide constructive feedback.
- 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.
- 7+ years of experience building backend (java) and SPA web applications (react).
- 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, it would be preferred if you also have
- Big data experience (Spark, Flink, Kafka, S3)
- Experience using, integrating etc… AI/ML models, knowledge of Python and common ML libs.
- 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/MLO
Benefits
Competitive Salary
Class A Medical Insurance
Top Skills
What We Do
Optimiza, is a leading, regional Systems Integration and digital transformation solutions provider that supports its clients' pursuit of operational excellence and profitability.
Our IP solutions cover a wide spectrum of sectors and provide clients with highly secure, user-friendly, versatile, and seamless systems in a variety of work areas including document management, healthcare, insurance, accounting, HR, and banking.
With over 41 years of operational experience, hundreds of projects delivered, and intellectual capital that spans multiple industry sectors, Optimiza's team of over 400 experts is fully capable of integrating and delivering innovative consulting, business, and technology solutions with a commitment to excellence and client satisfaction.
