Senior Back-End Developer

FLIR Systems

Date: 01.2020 — Present

Project description

• Tech Stack (partial list): AWS, Scala, Akka, Java, C++, Node.js, Redis, PostgreSQL, MongoDB, Elasticsearch, Kafka, RabbitMQ, Docker, Git, Jenkins, Jira.

Responsibilities

• Develop and maintain FLIR Cloud – the backend system for the company’s various apps and services. The system consists mostly of microservices and

Lambda functions over AWS.

• Led backend support for the system’s flagship and most successful application, contributing to roadmap planning and providing time estimates for

product requirements.

• Refactored and developed the most significant core module in the system responsible for thermal image processing in C++, decoupling it from the server

environment. This approach prevented server crashes from third-party libraries, and significantly reduced memory usage, along with development and

troubleshooting times. In addition it simplified the architecture, replacing the previously complex model with a more maintainable solution.

• Acted as a mentor for junior developers, providing guidance, conducting code reviews, and promoting best practices within the development team.

• Integrated Redis into our system for various usages including distributed caching and rate limiting.

• Led integrations across multiple international teams with other companies.

• Developed a data pipeline module to collect statistics from our services, aggregate them in Elasticsearch, filter and streamline data for analysis and

visualization in Power BI and Mixpanel.

• Took part in the company’s effort to migrate from a mono-repo to a multi-repo architecture.

• Implemented continuous integration and deployment pipelines for AWS Lambda functions using the Serverless Framework

Back-End Developer

SimilarBid

Date: 11.2018 — 01.2020

Project description

• Tech Stack: Java, Spring Framework, Google Cloud, MongoDB, PostreSQL, RabbitMQ, Docker, Git, Linux, Jenkins, Jira.

Responsibilities

• Designed and developed a tracking and reporting system for online campaigns. The system was built as a Spring Boot app using Java over GCP. It was first built as a monolith and then decomposed into microservices.

• Contact for recommendation: Michael Nachtigal, Co-Founder and R&D Manager at SimilarBid who was my direct manager.