Senior C++ Developer

🏢 Summary: This role focuses on optimizing and validating large-scale machine learning workloads within a High-Performance Computing and compiler infrastructure environment. The engineer will manage performance benchmarking pipelines, conduct root-cause analysis of regressions, and automate infrastructure for reliable performance testing. It is a high-impact position centered on performance engineering, automation, and system-level debugging for next-generation hardware. 🗂️ Requirements: Strong proficiency in Python, Hands-on experience with SQL, Deep knowledge of Linux/Unix environments, Experience with Bash scripting, Ability to debug complex system-level issues, Experience with performance benchmarking and analysis, Clear technical documentation skills 📃 Skills: Python, SQL, Linux, Unix, Bash, HPC, CI/CD, Bazel, CMake, JAX, PyTorch, TensorFlow, GPU 🏢 Description: We are looking for an experienced Software Engineer in Performance Infrastructure to join our team. This position is part of a high-impact project for a world-renowned global tech leader and AI innovator . You will be focused on optimizing large-scale machine learning workloads for next-generation hardware within a High-Performance Computing (HPC) and Compiler Infrastructure environment. Your core mission will be to manage the end-to-end health, precision, and reliability of performance benchmarking pipelines, working at the intersection of automated infrastructure and performance engineering. Responsibilities: Performance Analysis & Validation: Evaluate results from automated benchmarking suites to detect and analyze performance shifts and shifts in metrics. Root-Cause Analysis: Perform deep-dive root-cause analysis on bisection results to identify specific code changes responsible for performance regressions. Infrastructure Automation: Develop and maintain Python-based tooling for benchmark automation, hardware configuration management, and automated data recovery. System Debugging: Troubleshoot failures within the benchmarking pipeline, including script errors, environment misconfigurations, and resource allocation issues in distributed clusters. Data Pipelines & Dashboards: Maintain and enhance data pipelines and visualization tools to ensure high-fidelity performance metrics are consistently available for engineering teams. Technical Documentation: Develop and maintain engineering playbooks and best practices to improve consistency in performance testing and incident investigation. Min requirements: Strong proficiency in Python for systems automation, data processing, and integration. Hands-on experience with SQL for querying large datasets and managing performance metrics. Deep knowledge of Linux/Unix environments, shell scripting (Bash), and command-line development. Exceptional analytical and problem-solving skills with the ability to debug complex system-level issues. Clear written communication skills for documenting technical investigations and collaborating across globally distributed teams. Would be a plus: Practical experience with distributed build and test systems (e.g., Bazel / CMake ). Strong familiarity with CI/CD pipelines and automated regression testing. Basic understanding of hardware accelerators ( GPUs ) or machine learning frameworks (e.g., JAX, PyTorch, TensorFlow ). Background in Performance Engineering or SRE (Site Reliability Engineering). We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior Software Engineer role focused on designing and developing scalable backend and fullstack applications using modern C++ in Linux environments. The position involves performance optimization, concurrency, and cloud-native technologies while contributing to high-impact product features. It requires strong ownership, collaboration, and the ability to work across diverse technologies including cloud and DevOps tools. 🗂️ Requirements: 6+ years of C++ development experience, Strong knowledge of multithreading, Strong knowledge of memory management, Experience with performance optimization, Experience developing backend systems, Experience with REST APIs, Experience working in Linux environments, Ability to design and maintain scalable systems, Bachelor’s degree in STEM field 📃 Skills: C++, Linux, REST, Multithreading, AWS, Python, Go, Terraform, CloudFormation, GitHub, Jenkins, Artifactory, Ansible 🏢 Description: Senior Software Engineer – C++ We are looking for a talented Senior Software Engineer to join our team. This role is ideal for someone with deep experience in C++ development , backend skills, and exposure to cloud-native technologies. You will work on challenging projects, contribute to high-impact features, and help shape the future of our products. What You’ll Do Design, develop, and maintain scalable backend systems in C++ (modern C++ preferred) Work on fullstack applications , including REST API-based backend services Optimize software for performance, concurrency, and memory efficiency Develop and maintain applications in Linux environments Take ownership of technical tasks, delivering high-quality results independently Collaborate closely with cross-functional teams, contributing to design and technical discussions Explore new technologies and expand beyond your primary stack, including Python, Go, and AWS Apply a product-focused mindset, understanding the business impact of your technical decisions What We’re Looking For 6+ years of hands-on experience in C++ development Solid understanding of multithreading, memory management, and performance optimization Strong experience contributing to complex features with exposure to diverse technologies Proven ability to work effectively in a team and communicate clearly Experience with Linux-based systems and development in Linux environments Self-motivated, independent, and capable of delivering results with limited supervision Bachelor’s degree in Science, Technology, Engineering, or a related field Nice to Have Experience with Go and/or Python Knowledge of cloud-native development and Infrastructure-as-Code tools (Terraform, CloudFormation) Background in enterprise-scale applications or AWS serverless architectures Familiarity with networking protocols, security best practices, and database systems Experience with modern CI/CD pipelines (GitHub, Jenkins, Artifactory, Ansible)

🏢 Summary: The offer is for an experienced Big Data Engineer to design and maintain a high-performance data analytics platform processing petabyte-scale datasets. The role focuses on building scalable data pipelines, optimizing distributed processing systems, and delivering real-time reporting solutions using modern Big Data technologies. The position involves close collaboration with cross-functional teams to ensure reliable, high-quality data workflows. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, Proven experience as a Data Engineer or similar role, Strong proficiency in Spark, HDFS, Airflow, Strong programming skills in Scala, Experience with data pipeline architecture and implementation, Experience building continuous reporting systems and dashboards, Familiarity with data warehousing concepts, Ability to optimize and tune distributed data processing systems 📃 Skills: Scala, Spark, HDFS, Airflow, Gradle, Kubernetes, BigData, DataWarehousing, CI/CD 🏢 Description: Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. In this project, we are working on the bleeding edge of Big Data technology to develop a high-performance data analytics platform, which handles petabytes datasets. We are looking for an experienced Big Data Engineer. Essential functions Design, develop, and maintain robust data pipelines using: Scala, Spark, HDFS, Gradle, Kubernetes and Airflow Implement scalable and efficient data workflows to support data ingestion, processing, and analysis. Develop and maintain continuous reporting systems and dashboards to provide real-time insights. Collaborate with cross-functional teams to understand data requirements and deliver data solutions. Optimize and tune data processing systems for performance and reliability. Ensure data quality and integrity throughout the data lifecycle. Troubleshoot and resolve data processing and pipeline issues. Stay up-to-date with industry trends and emerging technologies to drive innovation in data engineering. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Strong proficiency in Spark, HDFS, Airflow Solid programming skills in Scala. Experience with data pipeline architecture and implementation. Expertise in building and maintaining continuous reporting systems and dashboards. Familiarity with data warehousing concepts and technologies. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Would be a plus DevOps/CICD skills We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Opportunity for an experienced Big Data Engineer to design and optimize a high-performance data analytics platform processing petabyte-scale datasets. The role focuses on building robust data pipelines, scalable workflows, and real-time reporting systems using modern Big Data technologies. You will work on performance tuning, data quality, and reliable large-scale data processing solutions. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, Proven experience as Data Engineer or similar role, Strong proficiency in Spark, HDFS, Airflow, Solid programming skills in Scala, Experience designing and implementing data pipelines, Experience building continuous reporting systems and dashboards, Knowledge of data warehousing concepts, Ability to optimize and tune data processing systems 📃 Skills: Scala, Spark, HDFS, Airflow, Gradle, Kubernetes, BigData, ETL, DataWarehousing, CI/CD 🏢 Description: Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. In this project, we are working on the bleeding edge of Big Data technology to develop a high-performance data analytics platform, which handles petabytes datasets. We are looking for an experienced Big Data Engineer. Essential functions Design, develop, and maintain robust data pipelines using: Scala, Spark, HDFS, Gradle, Kubernetes and Airflow Implement scalable and efficient data workflows to support data ingestion, processing, and analysis. Develop and maintain continuous reporting systems and dashboards to provide real-time insights. Collaborate with cross-functional teams to understand data requirements and deliver data solutions. Optimize and tune data processing systems for performance and reliability. Ensure data quality and integrity throughout the data lifecycle. Troubleshoot and resolve data processing and pipeline issues. Stay up-to-date with industry trends and emerging technologies to drive innovation in data engineering. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Strong proficiency in Spark, HDFS, Airflow Solid programming skills in Scala. Experience with data pipeline architecture and implementation. Expertise in building and maintaining continuous reporting systems and dashboards. Familiarity with data warehousing concepts and technologies. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Would be a plus DevOps/CICD skills We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior C++ Engineer role focused on transforming ML and data science prototypes into high-performance, production-grade C++ applications for real-time, resource-constrained and cloud environments. The position involves optimizing, containerizing and deploying deterministic, low-latency systems with strong emphasis on reliability, performance and CI/CD practices. The offer includes flexible remote work within Poland, career development programs and comprehensive benefits. 🗂️ Requirements: 5+ years of experience in modern C++ (C++17/C++20), Strong knowledge of multithreading, concurrency and synchronization in Linux, Experience developing deterministic, low-latency real-time systems, Proficiency with CMake and Conan package management, Experience profiling and optimizing CPU and memory usage in Linux, Ability to write unit and automated tests, Experience debugging low-level communication issues, Hands-on experience with Docker in Linux production environments, Experience with CI/CD and release pipelines, Familiarity with Agile tools (Azure DevOps, JIRA, Confluence, Bitbucket), Fluent English (B2+ level) 📃 Skills: C++, C++17, C++20, Linux, Multithreading, Concurrency, CMake, Conan, Docker, CI/CD, Azure, JIRA, Confluence, Bitbucket, Python, MQTT, ZeroMQ, ProtoBuf, Kafka, HTTP, Bash, Kubernetes, TCP/IP, systemd 🏢 Description: We are seeking a Senior C++ Engineer to collaborate with Data Scientists and Machine Learning experts in transforming prototype algorithms into hardened, reliable, production-grade applications. In this role, you will convert research workflows into high-performance C++ systems capable of running on resource-constrained hardware or scalable cloud environments. Responsibilities Collaborate closely with Data Scientists and Machine Learning experts to turn prototype algorithms and data processing pipelines into hardened, reliable, production-grade "always-on" applications written in C++ Conversion of research and prototype ML/data-processing workflows (primarily Python-based) into high-performance, reliable C++ production systems Implementation of data quality safeguards, sanitization and required low-level interfaces for real-time inference on streaming data Optimization of code for predictable behavior, high reliability and efficient resource utilization (compute/memory/storage) on resource-constrained environments Support the development of high-performance, high-reliability solutions capable of running on resource-constrained hardware or in cost-effective, highly-scalable cloud applications Translation of real-world process dynamics, sensor behavior and system constraints into realistic online control solutions Documentation and communication of assumptions, results, limitations, risks and deployment considerations for discussion with the broader technical audience Requirements 5+ years of experience in modern C++ software development using C++17/C++20 Understanding of multithreading, concurrency, synchronization and performance optimization in Linux environments Background in developing deterministic, low-latency software for real-time systems Proficiency in CMake, modern C++ build systems and Conan package management for C++ Skills in profiling and optimizing CPU/memory utilization in constrained Linux environments Competency in writing unit tests and automated tests Proven capability to debug low-level communication issues and optimize performance under constrained environments Hands-on expertise designing, deploying and debugging containerized applications using Docker in Linux production environments Experience with CI/CD & Release pipelines: multi OS runners, artifact signing, SBOMs/vulnerability scanning Familiarity with Agile toolsets such as Azure DevOps, Atlassian tools like Confluence, JIRA and Bitbucket Fluent English communication skills at a B2+ level Nice to have Capability to independently deploy and manage cloud-native or edge-native microservices in Linux environments Flexibility to work closely with research, data science and platform engineering teams to bridge prototype and production environments Skills in Python and C++ interoperability Familiarity with industry IoT standards and protocols such as MQTT/SparkplugB, ZeroMQ, ProtoBuf, Kafka and HTTP Expertise in Linux, Bash/Shell scripting, Docker, TCP/IP networking, Kubernetes, systemd, logging, OTA/rollback strategies and advanced debugging techniques Background in deploying software in industrial environments, including remote diagnostics and field support Familiarity with .NET/C# We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Senior C++ Engineer role focused on transforming Python-based research and machine learning prototypes into high-performance, production-grade C++ applications for real-time and resource-constrained environments. The position involves optimizing, containerizing and deploying reliable systems across edge and scalable cloud platforms. You will collaborate closely with data science teams to deliver deterministic, low-latency solutions with strong CI/CD and quality standards. 🗂️ Requirements: 5+ years of modern C++ development (C++17/C++20), Strong knowledge of multithreading, concurrency and synchronization in Linux, Experience building deterministic, low-latency real-time systems, Proficiency with CMake and Conan package management, Experience profiling and optimizing CPU and memory usage in constrained Linux environments, Ability to write unit and automated tests, Experience debugging low-level communication and performance issues, Hands-on experience with Docker in Linux production environments, Experience with CI/CD and release pipelines, Familiarity with Agile tools (Azure DevOps, JIRA, Confluence, Bitbucket), Fluent English (B2+ level) 📃 Skills: C++, C++17, C++20, Linux, CMake, Conan, Docker, CI/CD, Azure, JIRA, Confluence, Bitbucket, Python, Kubernetes, Bash, TCP/IP, MQTT, ZeroMQ, ProtoBuf, Kafka, HTTP, .NET, C# 🏢 Description: We are seeking a Senior C++ Engineer to collaborate with Data Scientists and Machine Learning experts in transforming prototype algorithms into hardened, reliable, production-grade applications. In this role, you will convert research workflows into high-performance C++ systems capable of running on resource-constrained hardware or scalable cloud environments. Responsibilities Collaborate closely with Data Scientists and Machine Learning experts to turn prototype algorithms and data processing pipelines into hardened, reliable, production-grade "always-on" applications written in C++ Conversion of research and prototype ML/data-processing workflows (primarily Python-based) into high-performance, reliable C++ production systems Implementation of data quality safeguards, sanitization and required low-level interfaces for real-time inference on streaming data Optimization of code for predictable behavior, high reliability and efficient resource utilization (compute/memory/storage) on resource-constrained environments Support the development of high-performance, high-reliability solutions capable of running on resource-constrained hardware or in cost-effective, highly-scalable cloud applications Translation of real-world process dynamics, sensor behavior and system constraints into realistic online control solutions Documentation and communication of assumptions, results, limitations, risks and deployment considerations for discussion with the broader technical audience Requirements 5+ years of experience in modern C++ software development using C++17/C++20 Understanding of multithreading, concurrency, synchronization and performance optimization in Linux environments Background in developing deterministic, low-latency software for real-time systems Proficiency in CMake, modern C++ build systems and Conan package management for C++ Skills in profiling and optimizing CPU/memory utilization in constrained Linux environments Competency in writing unit tests and automated tests Proven capability to debug low-level communication issues and optimize performance under constrained environments Hands-on expertise designing, deploying and debugging containerized applications using Docker in Linux production environments Experience with CI/CD & Release pipelines: multi OS runners, artifact signing, SBOMs/vulnerability scanning Familiarity with Agile toolsets such as Azure DevOps, Atlassian tools like Confluence, JIRA and Bitbucket Fluent English communication skills at a B2+ level Nice to have Capability to independently deploy and manage cloud-native or edge-native microservices in Linux environments Flexibility to work closely with research, data science and platform engineering teams to bridge prototype and production environments Skills in Python and C++ interoperability Familiarity with industry IoT standards and protocols such as MQTT/SparkplugB, ZeroMQ, ProtoBuf, Kafka and HTTP Expertise in Linux, Bash/Shell scripting, Docker, TCP/IP networking, Kubernetes, systemd, logging, OTA/rollback strategies and advanced debugging techniques Background in deploying software in industrial environments, including remote diagnostics and field support Familiarity with .NET/C# We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: The offer is for a Senior C++ Engineer to transform research-grade ML and data processing prototypes into high-performance, production-ready C++ systems for real-time and resource-constrained environments. The role focuses on optimizing, deploying and maintaining reliable, low-latency applications across edge devices and scalable cloud platforms. You will collaborate closely with Data Scientists to bridge the gap between prototype workflows and hardened production solutions. 🗂️ Requirements: 5+ years of modern C++ development (C++17/C++20), Strong knowledge of multithreading, concurrency and synchronization in Linux, Experience building deterministic, low-latency real-time systems, Proficiency with CMake and Conan package management, Experience profiling and optimizing CPU and memory usage in Linux, Ability to write unit and automated tests, Experience debugging low-level communication issues, Hands-on experience with Docker in Linux production environments, Experience with CI/CD and release pipelines, Familiarity with Agile tools (Azure DevOps, JIRA, Confluence, Bitbucket), Fluent English (B2+ level) 📃 Skills: C++, C++17, C++20, Linux, CMake, Conan, Docker, CI/CD, Azure, JIRA, Confluence, Bitbucket, Python, MQTT, ZeroMQ, ProtoBuf, Kafka, HTTP, Bash, Kubernetes, TCP/IP, .NET, C# 🏢 Description: We are seeking a Senior C++ Engineer to collaborate with Data Scientists and Machine Learning experts in transforming prototype algorithms into hardened, reliable, production-grade applications. In this role, you will convert research workflows into high-performance C++ systems capable of running on resource-constrained hardware or scalable cloud environments. Responsibilities Collaborate closely with Data Scientists and Machine Learning experts to turn prototype algorithms and data processing pipelines into hardened, reliable, production-grade "always-on" applications written in C++ Conversion of research and prototype ML/data-processing workflows (primarily Python-based) into high-performance, reliable C++ production systems Implementation of data quality safeguards, sanitization and required low-level interfaces for real-time inference on streaming data Optimization of code for predictable behavior, high reliability and efficient resource utilization (compute/memory/storage) on resource-constrained environments Support the development of high-performance, high-reliability solutions capable of running on resource-constrained hardware or in cost-effective, highly-scalable cloud applications Translation of real-world process dynamics, sensor behavior and system constraints into realistic online control solutions Documentation and communication of assumptions, results, limitations, risks and deployment considerations for discussion with the broader technical audience Requirements 5+ years of experience in modern C++ software development using C++17/C++20 Understanding of multithreading, concurrency, synchronization and performance optimization in Linux environments Background in developing deterministic, low-latency software for real-time systems Proficiency in CMake, modern C++ build systems and Conan package management for C++ Skills in profiling and optimizing CPU/memory utilization in constrained Linux environments Competency in writing unit tests and automated tests Proven capability to debug low-level communication issues and optimize performance under constrained environments Hands-on expertise designing, deploying and debugging containerized applications using Docker in Linux production environments Experience with CI/CD & Release pipelines: multi OS runners, artifact signing, SBOMs/vulnerability scanning Familiarity with Agile toolsets such as Azure DevOps, Atlassian tools like Confluence, JIRA and Bitbucket Fluent English communication skills at a B2+ level Nice to have Capability to independently deploy and manage cloud-native or edge-native microservices in Linux environments Flexibility to work closely with research, data science and platform engineering teams to bridge prototype and production environments Skills in Python and C++ interoperability Familiarity with industry IoT standards and protocols such as MQTT/SparkplugB, ZeroMQ, ProtoBuf, Kafka and HTTP Expertise in Linux, Bash/Shell scripting, Docker, TCP/IP networking, Kubernetes, systemd, logging, OTA/rollback strategies and advanced debugging techniques Background in deploying software in industrial environments, including remote diagnostics and field support Familiarity with .NET/C# We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Remote B2B opportunity for a Senior Software Engineer focused on developing complex, high-performance systems in modern C++ within Linux environments. The role involves contributing to product-level features, collaborating across teams, and working with cloud and backend technologies. Long-term cooperation with flexibility on financial expectations and start date. 🗂️ Requirements: 6+ years of hands-on experience in C++ development, Strong knowledge of modern C++, Experience with multithreading, Understanding of memory management, Experience with performance optimization, Strong understanding of Linux-based systems, Experience developing in Linux environment, Ability to deliver complex technical features, Bachelor’s degree in Science, Technology, Engineering or related field 📃 Skills: C++, Linux, Multithreading, MemoryManagement, PerformanceOptimization, Python, Go, AWS, Terraform, CloudFormation, REST, CI/CD, GitHub, Jenkins, Artifactory, Ansible, Networking, Security, Databases 🏢 Description: For our client, we are looking for a Senior Software Engineer (f/m/n). Qualifications 6+ years of hands-on experience in C++ development (modern C++ preferred) with a solid understanding of multithreading, memory management, and performance optimization Strong experience contributing to complex features with a good product-level understanding and exposure to diverse technologies Proven ability to collaborate effectively within a team, actively participating in technical discussions and supporting delivery across multiple contributors Strong understanding of Linux-based systems and experience developing in a Linux environment (user level) Demonstrated ability to take ownership of well-defined technical tasks and drive them to completion with high quality Strong interpersonal skills with the ability to communicate clearly, collaborate effectively, and contribute confidently in professional discussions Proven ability to quickly learn and adapt to new technologies, taking on tasks with a proactive, can-do attitude and a willingness to expand beyond the core tech stack, including Python, AWS and Go Highly self-managed and independent, capable of delivering results with limited supervision while aligning with broader team goals Bachelor’s degree in Science/Technology/Engineering or a related field How will you stand out from the crowd Experience with Go and/or Python programming languages Experience with cloud-native development and infrastructure-as-code tools (e.g., Terraform, CloudFormation) Experience in enterprise-scale application development in cloud or SaaS environments (AWS serverless architecture is a definite advantage) Experience in building fullstack applications, including REST API-based backend systems and modern frontend interfaces Familiarity with networking protocols, security principles, and database systems Experience with modern CI/CD pipelines, such as GitHub, Jenkins, Artifactory, and Ansible We offer: Work model: remote Contract type: B2B with SHIMI Long-term cooperation We are open to the candidate’s financial expectations Start: ASAP (up to 1 month notice)

🏢 Summary: The offer is for an experienced Big Data Engineer to design and maintain a high-performance data analytics platform processing petabyte-scale datasets. The role focuses on building scalable data pipelines, optimizing distributed systems, and delivering real-time reporting solutions using modern Big Data technologies. You will work on cutting-edge data engineering challenges in a large-scale, global environment. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, Proven experience as Data Engineer or similar role, Strong proficiency in Spark, HDFS, Airflow, Strong programming skills in Scala, Experience with data pipeline architecture and implementation, Experience building continuous reporting systems and dashboards, Knowledge of data warehousing concepts, Ability to optimize and tune distributed data systems, Experience ensuring data quality and integrity, Ability to troubleshoot complex data pipeline issues 📃 Skills: Scala, Spark, HDFS, Airflow, Gradle, Kubernetes, BigData, ETL, DataWarehousing, Dashboards 🏢 Description: Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. In this project, we are working on the bleeding edge of Big Data technology to develop a high-performance data analytics platform, which handles petabytes datasets. We are looking for an experienced Big Data Engineer. Responsibilities: Design, develop, and maintain robust data pipelines using: Scala, Spark, HDFS, Gradle, Kubernetes and Airflow Implement scalable and efficient data workflows to support data ingestion, processing, and analysis. Develop and maintain continuous reporting systems and dashboards to provide real-time insights. Collaborate with cross-functional teams to understand data requirements and deliver data solutions. Optimize and tune data processing systems for performance and reliability. Ensure data quality and integrity throughout the data lifecycle. Troubleshoot and resolve data processing and pipeline issues. Stay up-to-date with industry trends and emerging technologies to drive innovation in data engineering. Requirements : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Strong proficiency in Spark, HDFS, Airflow Solid programming skills in Scala. Experience with data pipeline architecture and implementation. Expertise in building and maintaining continuous reporting systems and dashboards. Familiarity with data warehousing concepts and technologies. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work independently and in a remote team environment. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior Full Stack Engineer (Python) role focused on building and modernizing a complex B2B SaaS platform for enterprise clients. The position involves end-to-end development, modernization of a Python/Flask codebase, AI-generated code review, backend architecture improvements, and collaboration across AI and frontend engineering teams. The offer includes flexible scheduling, benefits, professional development, and work on advanced enterprise-grade projects. 🗂️ Requirements: Commercial experience as Senior Backend or Full Stack Engineer, Hands-on coding experience, Strong Python proficiency, Experience with Flask, FastAPI, or Django, Knowledge of web application architecture, Experience with PostgreSQL, Strong SQL skills, Database schema design experience, Web security and vulnerability mitigation knowledge, Experience with AI coding tools, Docker experience, Kubernetes experience, Experience with Redis or Celery, Independent problem-solving skills, Ability to work with complex codebases 📃 Skills: Python, Flask, FastAPI, Django, PostgreSQL, SQL, Docker, Kubernetes, Redis, Celery, Copilot, Cursor, Claude, SQLAlchemy, SQLObject, Angular 🏢 Description: We are looking for a highly experienced, strictly hands-on Senior Full Stack Engineer (Python) to join a senior engineering team. You will drive the delivery and modernization of a complex B2B SaaS platform used by global enterprise clients. In this role, you will build new product modules end-to-end, from technical specification through to production deployment, while modernizing a mature codebase. Responsibilities: Build new platform modules end-to-end: translate business requirements into technical specs (use cases, data models, API designs) through to production deployment Execute modernization of the Python/Flask codebase - clean layered architecture, reduced technical debt, improved testability Act as quality gate for all AI-generated code - catching logic errors, security issues, and architectural violations Partner with the Intelligence Systems Engineer on features touching the AI/agent layer Collaborate with the Angular Architect on API contracts and frontend integration Write operational documentation: changelogs for QA, operations guides for DevOps, architecture docs for developers Proactively identify and address security concerns during development Min requirements: Proven commercial experience as a Senior Backend or Full Stack Engineer, actively engaged in hands-on coding (no pure advisory roles). Strong proficiency in modern Python, with a focus on writing clean, type-safe, and well-documented code. Solid experience with Python web frameworks (e.g., Flask, FastAPI, Django) and a good understanding of web application architecture. Expertise in relational databases (preferably PostgreSQL), SQL, and schema design. Strong security mindset with a proven ability to identify, understand, and mitigate real-world web vulnerabilities. Hands-on experience using AI coding tools (Copilot, Cursor, Claude) as part of your daily workflow, paired with a critical eye for reviewing AI-generated code. Experience working with containerization (Docker, Kubernetes) and background processing systems (e.g., Redis, Celery). Excellent independent problem-solving skills and the ability to navigate complex codebases. Would be a plus: Proven experience decomposing monolithic/legacy codebases into a clean, layered architecture. Hands-on modernization experience within mature, production-grade SaaS products. Familiarity with Python ORMs (e.g., SQLObject, SQLAlchemy). We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.