Nikolay Eremeev

Software Engineer

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.