Nikolay Eremeev

Software Engineer

GitHub • LinkedIn • nikolay-eremeev.com

Ludwigsburg, Germany
nikolay.eremeev@outlook.com

Professional Summary

Software Engineer with an Engineering Degree, specializing in backend development and distributed systems. Strong focus on C++, Go, and Java development, with extensive experience in cloud-native technologies and container orchestration. Passionate about automation, CI/CD practices, and building reliable, high-performance systems. Proven track record of leading technical teams and delivering enterprise-scale solutions.

Languages & Technical Skills

Languages: English (C1) • German (C1) • Russian (Native)

Programming Languages: Go • Java • C++ • JavaScript

DevOps: Kubernetes • Docker • Jenkins • Travis CI • GitHub Actions • Ansible

Databases: Cassandra • PostgreSQL • MS SQL

Work History

IBM - Böblingen (Remote)

Advisory Software Developer

August 2023 - Current

  • Leading a team of 3 developers, improving team performance by introducing Agile best practices and enhancing collaboration with cross-functional teams.
  • Implemented data collectors in Go using OpenTelemetry to gather metrics and logs from various IBM systems.
  • Developed data processing pipelines in Java with Apache Flink for data aggregation, normalization, and correlation analysis.
  • Implemented continuous integration and deployment (CI/CD) strategies using Go and a Kubernetes operator to achieve faster release cycles and improved application reliability.
  • Mentored junior developers through regular 1-on-1 meetings, providing guidance on best practices, coding standards, and career growth opportunities.
  • Enhanced software quality by conducting thorough code reviews and providing constructive feedback to team members.

Technologies: Go, Java, OpenTelemetry, Apache Flink, Apache Kafka, Kubernetes, RESTful API.

IBM - Böblingen (Remote)

Software Developer

April 2022 - July 2023

  • Led the development of the Tivoli Enterprise Portal Server Container within a small team (2 members), from initial concept through beta release to General Availability (GA).
  • Successfully implemented container image build pipelines supporting both amd64 and s390x (mainframe) architectures, including deployment, testing, and release within a complex environment, adhering to Infrastructure as Code (IaC) principles.
  • Improved user experience by designing and implementing user-friendly management scripts.
  • Significantly transformed the complex installation and configuration process, reducing the required time from multiple days to just 5 minutes.
  • Participated in project management activities, including sprint planning, reviews, and client communication.
  • Created comprehensive documentation to facilitate deployment, maintenance, and troubleshooting.
  • Successfully overcame technical challenges in containerizing a legacy mainframe monitoring application.

Technologies: Java, IBM Cloud, Docker, Jenkins, Ansible, DB2.

TeamViewer - Stuttgart, Germany

Backend Software Engineer

July 2020 - March 2022

  • Focused on the development and maintenance of enterprise features in C++ and Go, including audit logs, client settings, and role-based access control (RBAC).
  • Extended and enhanced the backend codebase, performed code reviews, and participated in design and architecture analysis.
  • Developed and implemented GDPR request handling functionality, enabling automated retrieval of user data across multiple databases (Cassandra, MS SQL) through complex join queries.
  • Participated in the migration from a monolithic architecture to microservices.
  • Implemented database migrations and schema optimizations for Apache Cassandra and MS SQL.
  • Led critical infrastructure projects, including a 32-bit to 64-bit ID migration and the implementation of time-to-live (TTL) parameters in Cassandra to prevent data accumulation.

Technologies: C++17, Boost, GMock, Go, CMake, Conan, SaltStack, Apache Cassandra, MS SQL, Windows Server 2019, PowerShell.

Nuance Communications - Aachen, Germany

Software Engineer

April 2019 - June 2020

  • Developed features in C++ and Java; implemented Java Native Interfaces (JNI) for integrating the ‘Dragon’ speech recognition engine on Android Auto and Linux platforms.
  • Created an Android test application that streamlined speech recognition testing processes.
  • Reduced build times by 50% through optimization of automated build and deployment processes using Gradle.
  • Performed software releases and provided customer support.

Technologies: C/C++11, Java, Python, CMake, Gradle, Groovy, Linux, Android Auto.

Institute for Communications Engineering - RWTH Aachen University

Student Assistant

February 2017 - November 2018

  • Implemented high-performance image search algorithms using Fisher Vectors and Bag-of-Words (BoW) techniques in C++.
  • Optimized software for multi-core architectures using OpenMP and POSIX threads, achieving parallel processing across 124 streams on the university cluster.
  • Gained practical experience in resource management and optimization through handling high-load parallel processing scenarios.
  • Utilized OpenCV for image content analysis and processing on Linux systems.
  • Developed neural networks for similarity learning using TensorFlow and Python.
  • Created data visualization pipelines and performed results evaluation using MATLAB.

Technologies: C++, Python, OpenMP, OpenCV, TensorFlow, MATLAB, Linux.

Certifications & Courses

  • Kubernetes and Cloud Native Associate (KCNA)
  • Certified SAFe® 5 Practitioner
  • Google IT Support Professional Certificate
  • Programming with Google Go Specialization

Education

RWTH Aachen University - Aachen, Germany

Bachelor of Science in Computer Engineering September 2014 - March 2019

  • Core Curriculum: Focused on advanced mathematics (Calculus, Linear Algebra, Complex Analysis, Statistics, Stochastic Analysis, Numerical Methods), system-level programming (C/C++, Assembly), computer architecture, signal processing, cryptography, theoretical computer science, and information theory.
  • Bachelor Thesis: Intra- and inter-subject registration for functional imaging data
    • Implemented video stabilization and segmentation systems using Active Shape Models (ASM).
    • Developed prediction models using Principal Component Analysis (PCA) and Support Vector Machines (SVM) for analyzing biological response data.
    • Technologies: MATLAB, Elastix, Active Shape/Appearance Models.
  • Selected Learning Projects:
    • Developed a Low-Speed Speech Codec (LPC-Vocoder) for voice sample analysis.
    • Implemented system interfaces and socket programming solutions.
    • Created GUI applications using the Qt framework and C++ STL.