Network Observability & Automation Engineer

🏢 Summary: The role focuses on building and scaling a global, multi-vendor trading network with strong emphasis on network automation and observability. The position involves designing, supporting, and troubleshooting high-performance network infrastructure while collaborating with technology and investment teams. It requires hands-on expertise in automation, monitoring, and cloud networking within large-scale environments. 🗂️ Requirements: Strong hands-on experience in network automation and observability, Practical knowledge of Prometheus, Grafana, Telegraf, gNMI, YANG, Cisco Telemetry, Experience with Zabbix, LibreNMS, SNMP, Solid scripting and automation skills using Python, Ansible, Jinja, Git, Experience with Terraform, NetBox, NETCONF, RESTCONF, Experience with AWS cloud networking, Strong understanding of BGP, OSPF, PIM, IGMP, Proven ability to troubleshoot large-scale network environments 📃 Skills: Python, Ansible, Jinja, Git, Prometheus, Grafana, Telegraf, gNMI, YANG, Cisco, Zabbix, LibreNMS, SNMP, Terraform, NetBox, NETCONF, RESTCONF, AWS, BGP, OSPF, PIM, IGMP 🏢 Description: Network Engineer / Network Automation Specialist Join a team responsible for building and scaling a global, multi-vendor trading network . This role is ideal for someone who thrives at the intersection of network engineering, automation, and observability . 💡 What you’ll do: Build and scale network automation and observability capabilities Design and support a high-performance global network Partner with technology and investment teams to deliver business-critical solutions Troubleshoot and resolve complex network challenges 🧠 What we’re looking for: Strong hands-on experience in network automation and observability Practical knowledge of modern observability stack: Prometheus, Grafana, Telegraf , telemetry (e.g. gNMI, YANG, Cisco Telemetry ) Experience with traditional monitoring tools: Zabbix, LibreNMS, SNMP Solid scripting and automation skills using Python, Ansible, Jinja, Git Familiarity with infrastructure-as-code and automation tools such as Terraform, NetBox, NETCONF, RESTCONF Experience working with cloud networking (AWS preferred) Strong understanding of core networking protocols: BGP, OSPF, PIM, IGMP Proven ability to troubleshoot complex, large-scale network environment 🌟 Who you are: Proactive, self-driven, and eager to learn Passionate about automation and scalable solutions Comfortable working in a fast-paced, high-pressure environment Strong communicator and team player with a problem-solving mindset

🏢 Summary: Hands-on Observability Engineer role focused on building and automating enterprise-grade monitoring and observability solutions across AWS-based cloud and distributed systems. The position centers on developing infrastructure as code, CI/CD pipelines, and monitoring ecosystems to improve reliability, performance, and incident response. Approximately 90% of the role involves coding in Python and Terraform. 🗂️ Requirements: Strong hands-on experience with AWS, Strong Python development and scripting experience, Strong experience with Terraform, Experience building and maintaining CI/CD pipelines using Jenkins, Experience with Elasticsearch and ELK Stack, Experience with Linux systems, Shell scripting skills, Understanding of monitoring, logging, and alerting concepts, Experience working in Agile or DevOps environments 📃 Skills: AWS, Python, Terraform, Jenkins, Elasticsearch, ELK, Linux, Bash, CI/CD, Kubernetes, Grafana, Prometheus, Datadog, NewRelic, Snowflake, Databricks, dbt, Matillion 🏢 Description: Role Overview We are looking for a skilled and proactive Observability Engineer to implement, automate, and support enterprise-grade observability and monitoring solutions across cloud and application platforms. The ideal candidate should have strong AWS infrastructure knowledge, hands-on automation skills, and experience building reliable monitoring and alerting ecosystems for modern distributed applications. The role involves working closely with Platform Engineering, Data Engineering, and Application teams to develop observability solutions and bring operational visibility, reliability, incident detection, and platform performance. Main Responsibilities ·        Design, implement, and maintain observability solutions for cloud-native and distributed systems. ·        Build monitoring, logging, alerting, and dashboarding solutions across infrastructure and applications. ·        Develop automation scripts and tooling using Python. ·        Implement and maintain Infrastructure as Code (IaC) using Terraform. ·        Build and support CI/CD pipelines using Jenkins and Git-based workflows. ·        Configure and optimize monitoring for AWS services, Kubernetes workloads, APIs, databases, and applications. ·        Create actionable alerts and operational dashboards to improve incident response and system reliability. ·        Work with engineering teams to onboard applications into observability platforms. ·        Support troubleshooting, root cause analysis, and performance optimization initiatives. ·        Ensure observability standards, governance, and best practices are followed across projects. Key Requirements ·        Strong hands-on experience with Amazon Web Services (AWS). ·        Solid Python development/scripting experience. ·        Strong experience with Terraform. ·        Experience building and maintaining CI/CD pipelines using Jenkins. ·        Elasticsearch / ELK Stack experience and building queries. ·        Worked with Data Platforms monitoring is preferred. ·        Experience with Linux systems and shell scripting. ·        Understanding of monitoring, logging, and alerting concepts. ·        Experience working in Agile/DevOps environments. Nice to Have Skills Experience with any of the following is highly desirable: ·        Snowflake ·        Databricks ·        dbt ·        Matillion ·        Grafana ·        New Relic ·        Datadog ·        Prometheus ·        Elasticsearch / ELK Stack experience NOTES: We are looking for an Engineer who loves to build. This is a highly technical role—90% of the job is hands-on coding in python and terraform.

🏢 Summary: Design and scale next-generation observability and logging solutions within an international DevOps team, focusing on building high-scale monitoring platforms and cloud-native infrastructure from the ground up. The role combines architecture, infrastructure as code, and reliability engineering for distributed systems. You will drive metrics, logging, tracing, and alerting solutions in a collaborative environment. 🗂️ Requirements: Hands-on experience with Prometheus and Grafana, Experience scaling observability tools such as Thanos or Mimir, Experience managing ELK stack or Loki logging platforms, Strong proficiency in Terraform and Terragrunt, Deep understanding of Kubernetes, Experience with distributed systems observability (metrics, logs, traces), Full professional proficiency in English 📃 Skills: Prometheus, Grafana, Thanos, Mimir, ELK, Loki, Terraform, Terragrunt, Kubernetes, Python, Go, GitHubActions, Puppet 🏢 Description: The Opportunity Join a high-performing, international team of six DevOps experts. This is not a "maintenance-only" role. You will have a seat at the table in designing, building, and scaling our next-generation observability and logging solutions from the ground up. We believe in "Attitude First." If you are an ambitious engineer who thrives on collaboration, knowledge sharing, and solving complex distributed systems challenges, we want to grow with you. Key Responsibilities Architect & Build: Design and implement end-to-end observability solutions, including metrics, logging, tracing, and advanced alerting. Platform Excellence: Operate and optimize high-scale monitoring platforms (Prometheus, Mimir, Grafana) and ELK stack logging infrastructure. Infrastructure as Code: Define and maintain all observability systems using Terraform and Terragrunt . Reliability Engineering: Ensure the scalability and performance of our systems while supporting incident detection and root cause analysis (RCA). Collaborate: Work across domains with a team that values mentoring, transparency, and collective problem-solving. Your Technical Core Observability Expert: Solid hands-on experience with Prometheus, Grafana, and scaling tools like Thanos or Mimir . Logging Architect: Proven experience managing enterprise-grade logging platforms (ELK stack or Loki). IaC Ninja: Strong proficiency in Terraform/Terragrunt to manage infrastructure. Cloud Native: Deep understanding of Kubernetes and the complexities of metrics/logs/traces in distributed systems. Language: Full proficiency in English for seamless global collaboration. Stand Out From The Crowd (Nice to Have) Coding: Ability to automate and integrate using Python or Go . CI/CD: Exposure to GitHub Actions and automated workflows. Configuration Management: Experience with Puppet. SRE Mindset: Understanding of Service Level Indicators (SLIs), Objectives (SLOs), and Error Budgets.

🏢 Summary: Mid-Level Python Systems Engineer role focused on building telemetry, diagnostics, and network analysis tools to enhance observability and performance of algorithmic trading systems. The position bridges software development, Linux systems, and networking to analyze low-level OS and network behavior in real time. You will develop data pipelines and automation tools to optimize trading infrastructure performance. 🗂️ Requirements: Minimum 3 years commercial experience with Python, Strong practical experience working in Linux environments, Understanding of OS internals: processes, memory, networking, Knowledge of TCP/IP, UDP, Ethernet, Multicast, Experience building and optimizing data pipelines, Ability to analyze raw network packet captures (PCAP), Practical Shell/Bash scripting skills, Basic ability to read C or C++ code 📃 Skills: Python, Linux, TCP/IP, UDP, Ethernet, Multicast, Bash, PCAP, Wireshark, tcpdump, C, C++ 🏢 Description: The Company: Our client is an innovative technology-driven trading firm operating globally. They are active players in the quantitative finance sector, known for leveraging massive datasets and advanced infrastructure. If you are passionate about computer systems engineering and want to dive into an environment where performance matters, this is a great place to grow. You will join a collaborative R&D team that builds and maintains the backbone of algorithmic trading systems. The Role: As a Mid-Level Python Systems Engineer, you will help bridge the gap between software development, network engineering, and data analysis. Working closely with senior engineers, your goal will be to enhance the observability and performance of the trading platform. Instead of writing trading strategies, you will help build the "eyes and ears" of the system—tools that allow the team to see exactly what is happening inside the network stack and the operating system in real-time. Key Responsibilities: System Telemetry & Tooling: Develop and maintain custom Python-based tools to harvest and aggregate telemetry data from distributed trading components. Network Analysis Pipelines: Build and optimize data pipelines specifically for processing raw network packet captures (PCAP) to analyze latency and throughput. Automated Diagnostics: Help create algorithms to detect anomalies in traffic patterns and OS performance metrics before they impact trading. Infrastructure Optimization: Collaborate with the team to analyze findings and recommend changes in the trading stack (e.g., kernel tuning, network config) to improve overall performance. Essential Skills: Python Experience: Minimum of 3 years of commercial experience writing clean, efficient, and robust Python code. Practical Linux Knowledge: You are comfortable working in a Linux environment and have a good understanding of how the OS handles processes, memory, and networking. An eagerness to learn more advanced concepts (like context switches or kernel bypass) is highly valued. Networking Fundamentals: Good understanding of the lower layers of the OSI model (TCP/IP, UDP, Ethernet, Multicast). Scripting: Practical knowledge of Shell/Bash for everyday automation tasks. Low-Level Awareness: Basic ability (or a strong willingness to learn how) to read C or C++ code to understand how Python interfaces with lower-level components. Desirable Experience (Nice to have): Background in analyzing large time-series datasets. Experience with network sniffing tools (Wireshark, tcpdump) and programmatic packet analysis. Previous exposure to FinTech, HFT, or electronic trading environments (though strong pure-tech candidates from other industries are very welcome!).

🏢 Summary: The offer is for a Network Automation / DevOps Engineer responsible for transforming a global, high-availability financial network into a highly automated, observable, and self-service platform. The role focuses on building advanced telemetry, monitoring, and infrastructure automation solutions in a low-latency capital markets environment. It combines deep networking expertise with Infrastructure as Code and cloud integration. 🗂️ Requirements: Experience with modern monitoring and telemetry stacks, Hands-on experience with network automation tools, Proficiency in Python programming, Experience with Infrastructure as Code, Knowledge of NETCONF or RESTCONF, Strong understanding of BGP, OSPF, PIM, IGMP, Experience with AWS networking, Ability to perform deep packet analysis, Experience managing multi-vendor network environments, Willingness to participate in 24/7 on-call rotation 📃 Skills: Python, Git, Ansible, Jinja, Terraform, Netbox, Temporal, Prometheus, Grafana, Telegraf, gNMI, YANG, NETCONF, RESTCONF, BGP, OSPF, PIM, IGMP, AWS, Cisco 🏢 Description: Location: Warsaw, Poland (City Centre, near Rondo ONZ) — Hybrid model (3 days a week in the office, 2 days remote) Contract Type: Permanent (Umowa o Pracę) About the Role & Project: We are recruiting for our client – a rapidly growing, global financial institution operating in the capital markets. We are looking for an engineer eager to bridge the gap between traditional network engineering and modern DevOps practices. This is not a role for a traditional network administrator. We are seeking a specialist whose default approach to repetitive tasks is automation, and who is passionate about building advanced telemetry and monitoring systems. Your mission will be to transform a global, high-availability infrastructure into a self-service, highly observable platform. If you thrive in environments where system stability and milliseconds directly impact business outcomes, and where manual intervention is treated as a problem to be solved with code, this is the team for you. Key Responsibilities: Design, implement, and maintain advanced telemetry, monitoring, and predictive alerting systems for a global, high-availability network. Develop, scale, and maintain automation tools to streamline network workflows (from automated provisioning to zero-touch deployments). Collaborate closely with engineering and investment teams to align network performance with dynamic business and trading requirements. Define, implement, and maintain configuration standards across a robust multi-vendor environment. Serve as the senior escalation point for troubleshooting and resolving complex performance and routing anomalies. Participate in a 24/7 on-call rotation and scheduled out-of-hours maintenance windows. Technical Profile (Technical Fit): Observability-First Mindset: Practical experience with modern monitoring stacks, telemetry protocols, and metrics collection (Prometheus, Grafana, Telegraf, gNMI, YANG, Cisco Telemetry). Automation as a Standard: Strong hands-on experience with automation tools and frameworks such as Ansible, Jinja, Terraform, Netbox, and workflow engines (e.g., Temporal). Infrastructure as Code (IaC) & Dev Skills: Proficiency in Python and Git, with experience managing network configurations programmatically (NETCONF/RESTCONF). Core Networking Foundations: Solid understanding of routing protocols and multicast environments (BGP, OSPF, PIM, IGMP). Public Cloud Integration: Practical knowledge of building and managing cloud network infrastructure (AWS). Advanced Troubleshooting: Ability to perform deep-packet analysis and diagnose complex, transient network issues under pressure. Personal Attributes (Cultural Fit): A continuous learning mindset with a drive to proactively identify and optimize inefficient processes. Ability to work independently, taking ownership of projects and delivering them on schedule with minimal supervision. Excellent communication and collaboration skills, comfortable working in a fast-paced, international team. Strong analytical thinking and decision-making skills under pressure. Bonus Points: Experience integrating enterprise-grade VoIP and cloud collaboration systems. Familiarity with network security, identity management, and segmentation solutions (e.g., Cisco ISE). A basic understanding of financial markets, trading lifecycles, or quantitative trading environments. What We Offer: Stable Employment: Full-time employment contract (Umowa o Pracę - UoP). Tax Optimization: Eligibility for creative tax-deductible costs (KUP - Koszty Uzyskania Przychodu). Financial Reward: Highly competitive base salary accompanied by a generous annual performance bonus. Comprehensive Health: Premium private medical care package that fully includes dental coverage (stomatologia). Wellness & Lifestyle: MultiSport card to keep you active and healthy. Daily Perks: Pre-funded lunch card for your daily meals.

🏢 Summary: The offer is for an Observability Specialist responsible for designing, implementing, and maintaining a scalable telemetry and monitoring infrastructure in cloud-native environments. The role focuses on Kubernetes observability, Elastic Stack management, and performance optimization using modern telemetry standards. It involves driving SRE practices and ensuring high system reliability through advanced monitoring and AIOps solutions. 🗂️ Requirements: Experience monitoring Kubernetes (OpenShift) environments, Hands-on implementation of OpenTelemetry for logs, traces, and metrics, Strong expertise in ELK stack deployment and maintenance, Proficiency in automating Elastic environments using Ansible, Experience with Application Performance Monitoring for code-level analysis, Knowledge of shard optimization, mapping, and Index Lifecycle Management, Experience defining and monitoring SLOs and managing Error Budgets, Integration of observability solutions with major cloud providers 📃 Skills: Kubernetes, OpenShift, OpenTelemetry, Elasticsearch, Logstash, Kibana, Ansible, ElasticAPM, AIOps, SRE, ILM, Sharding, Mapping, Cloud 🏢 Description: Introduction & Summary We are seeking an experienced Observability Specialist dedicated to ensuring the reliability and performance of our systems. This role involves collaborating with enterprise architects and IT professionals to design, implement, and oversee a scalable telemetry infrastructure. The ideal candidate will possess deep expertise in ELK or similiar technologies and modern telemetry standards. Main Responsibilities As our Observability Engineer, your core duties will include: Architectural Collaboration: Partner with system architects and local engineering teams in Denmark to design resilient monitoring solutions. Monitor Kubernetes environments with OpenTelemetry (OTel) standards for logs, traces, and metrics. Manage centralized data collection and automate Elastic deployments using Ansible. Utilize Elastic APM for identifying code-level bottlenecks and resolving latency issues. Implement AIOps configurations for proactive anomaly detection and automated root-cause analysis. Drive Site Reliability Engineering (SRE) methodologies across teams. Elastic Stack Management: Deploy, scale, and maintain Elasticsearch, Logstash, and Kibana (ELK) environments. Key Requirements Cloud-Native Observability: Strong skills in monitoring Kubernetes (Openshift) environments and integrating with major cloud providers. APM & Distributed Tracing: Expertise in Application Performance Monitoring (APM) to identify code-level bottlenecks and latency issues. OpenTelemetry (OTel): Hands-on experience implementing OpenTelemetry (or similiar) standards for logs, traces, and metrics to ensure vendor-neutral telemetry. Infrastructure as Code (IaC): Proficiency in automating Elastic environments with Ansible. Performance Engineering: Expert-level knowledge of shard optimization, mapping, and Index Lifecycle Management (ILM) to balance high performance with cost control. SRE Methodology: Experience defining and monitoring Service Level Objectives (SLOs) and managing Error Budgets. Strong communication skills for collaboration with IT teams. NIce to Have: Elastic Stack Mastery: Deep expertise in architecting and managing Elasticsearch, Logstash, and Kibana (ELK) at scale. Data Ingestion & Fleet: Proven experience deploying Elastic Agent and Fleet for centralized agent management and data collection. AIOps & Machine Learning: Ability to configure Elastic ML models for proactive anomaly detection and automated root cause analysis. Other Details This is position based in Warsaw, flexible Hybrid model, focused on leading-edge observability solutions in a dynamic and collaborative environment.

🏢 Summary: Hands-on Site Reliability Engineer role focused on ensuring stability, scalability, and observability of a mission-critical distributed risk and analytics platform in hybrid cloud environments. The position centers on production reliability, incident response, automation, and continuous improvement of monitoring and deployment processes. You will collaborate with engineering teams to strengthen system resilience, performance, and operational standards. 🗂️ Requirements: Strong Java experience in distributed systems, Experience with observability and monitoring tools, Hands-on experience with hybrid cloud environments (preferably GCP), Experience with CI/CD pipelines and automation tools, Solid knowledge of Linux systems administration, Understanding of RDBMS fundamentals, Experience with job schedulers (e.g., Control-M), Ability to lead incident response and root-cause analysis 📃 Skills: Java, Grafana, Prometheus, Loki, OpenTelemetry, GCP, Jenkins, Ansible, Linux, SQL, Control-M, CI/CD 🏢 Description: We’re looking for a seasoned Site Reliability Engineer to support a high‑performance, mission‑critical risk and analytics platform used across global trading and finance environments. You’ll play a key role in ensuring the stability, scalability, and observability of complex distributed systems running across hybrid cloud infrastructure. In this role, you’ll take ownership of production reliability driving incident response, conducting root‑cause analysis, improving monitoring capabilities, and delivering automation that reduces operational toil. You’ll work closely with development teams, platform engineers, and service management leads to strengthen resilience, refine processes, and enhance the engineering culture around availability and performance. This is a hands on technical position suited to someone who thrives in high‑throughput environments, communicates clearly, and enjoys solving deep engineering problems in real time. Core Responsibilities Maintain and improve the reliability, uptime, and performance of distributed applications. Lead incident response, triage complex issues, coordinate recoveries, and deliver structured post‑incident reviews. Enhance observability—designing and evolving monitoring, alerting, logging, and tracing frameworks. Drive continuous improvement across automation, deployment processes, and service stability. Collaborate with cross‑functional teams to influence architecture, design, and operational standards. Support CI/CD pipelines, environment configuration, and vulnerability remediation. Contribute to a knowledge‑driven culture through documentation, tooling, and best‑practice adoption. Required Skills & Experience Strong Java background with proven experience supporting or developing distributed systems. Observability tooling expertise (Grafana, Prometheus, Loki, OpenTelemetry or similar). Hands‑on with hybrid cloud environments , ideally with GCP or another major cloud provider. CI/CD and automation experience (e.g., Jenkins, Ansible). Solid understanding of Linux , RDBMS fundamentals , and job schedulers (e.g., Control‑M or equivalents). Strong analytical mindset with a methodical approach to troubleshooting. Excellent communication skills and comfort working in Agile teams.

🏢 Summary: Lead C++ Engineer role focused on implementing and driving observability practices across the software development lifecycle for low-latency, high-performance distributed systems. The position combines hands-on development with technical leadership, ensuring reliable monitoring, telemetry and customer-experience measurement in market data environments. The role involves building large-scale observability platforms and influencing engineering teams to adopt best practices. 🗂️ Requirements: 7+ years of experience in observability engineering (metrics, tracing, logging), Expertise in profiling and telemetry pipelines, Experience with customer-experience measurement for latency-sensitive market data systems, Experience building and operating large-scale monitoring or observability platforms, Proficiency in C++, Experience with OpenTelemetry, eBPF and GitOps, Experience with API-driven automation and CI/CD-integrated observability, Familiarity with cloud-native, Kubernetes and distributed systems architectures, Ability to establish standards and influence engineering teams, English proficiency at B2 level or higher 📃 Skills: C++, OpenTelemetry, eBPF, GitOps, Kubernetes, CI/CD, APIs, Telemetry, Tracing, Logging, Profiling, Cloud-native 🏢 Description: We are seeking a Lead C++ Engineer with Observability to lead the observability implementation. This role combines hands-on engineering with technical leadership, ensuring customer experience, system reliability and operational insight are measurable and embedded throughout the software development lifecycle. The ideal candidate will bring significant experience from low-latency trading, market data or other high-performance distributed systems, with a strong C++ background and a track record of building production monitoring, telemetry and operational tooling at scale. Responsibilities Lead observability implementation across the software development lifecycle Ensure customer experience, system reliability and operational insight are measurable and embedded Build and operate large-scale monitoring, observability or control platforms Establishment of standards and drive adoption of observability best practices Engagement with development teams effectively to deliver telemetry and operational tooling Implementation of metrics, tracing, logging, profiling and telemetry pipelines Drive customer-experience measurement for latency-sensitive market data systems Influence engineering teams to align on observability outcomes Requirements 7+ years of experience in observability engineering, including metrics, tracing and logging Expertise in profiling and telemetry pipelines Understanding of customer-experience measurement for latency-sensitive market data systems Background in building and operating large-scale monitoring, observability or control platforms Proficiency in C++ engineering and the ability to engage effectively with development teams Skills in OpenTelemetry, eBPF and GitOps Competency in API-driven automation and CI/CD-integrated observability practices Familiarity with cloud-native, Kubernetes and distributed systems architectures Proven ability to influence engineering teams and establish standards English proficiency at B2 level or higher Nice to have Background in trading or market-making Familiarity with exchange connectivity Knowledge of market data environments 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: Lead C++ Engineer role focused on building and driving observability practices across high-performance, low-latency distributed systems. Combines hands-on C++ development with technical leadership to implement scalable monitoring, telemetry and customer-experience measurement solutions. Ideal for experts in trading or market data environments who can embed observability throughout the software development lifecycle. 🗂️ Requirements: 7+ years of experience in observability engineering, Expertise in metrics, tracing and logging, Experience with profiling and telemetry pipelines, Experience building and operating large-scale monitoring or observability platforms, Strong proficiency in C++, Experience with OpenTelemetry, eBPF and GitOps, Experience with API-driven automation and CI/CD-integrated observability, Familiarity with Kubernetes and distributed systems architectures, Understanding of latency-sensitive market data systems, English proficiency at B2 level or higher 📃 Skills: C++, OpenTelemetry, eBPF, GitOps, Kubernetes, CI/CD, APIs, Telemetry, Tracing, Logging, Profiling, Cloud-native 🏢 Description: We are seeking a Lead C++ Engineer with Observability to lead the observability implementation. This role combines hands-on engineering with technical leadership, ensuring customer experience, system reliability and operational insight are measurable and embedded throughout the software development lifecycle. The ideal candidate will bring significant experience from low-latency trading, market data or other high-performance distributed systems, with a strong C++ background and a track record of building production monitoring, telemetry and operational tooling at scale. Responsibilities Lead observability implementation across the software development lifecycle Ensure customer experience, system reliability and operational insight are measurable and embedded Build and operate large-scale monitoring, observability or control platforms Establishment of standards and drive adoption of observability best practices Engagement with development teams effectively to deliver telemetry and operational tooling Implementation of metrics, tracing, logging, profiling and telemetry pipelines Drive customer-experience measurement for latency-sensitive market data systems Influence engineering teams to align on observability outcomes Requirements 7+ years of experience in observability engineering, including metrics, tracing and logging Expertise in profiling and telemetry pipelines Understanding of customer-experience measurement for latency-sensitive market data systems Background in building and operating large-scale monitoring, observability or control platforms Proficiency in C++ engineering and the ability to engage effectively with development teams Skills in OpenTelemetry, eBPF and GitOps Competency in API-driven automation and CI/CD-integrated observability practices Familiarity with cloud-native, Kubernetes and distributed systems architectures Proven ability to influence engineering teams and establish standards English proficiency at B2 level or higher Nice to have Background in trading or market-making Familiarity with exchange connectivity Knowledge of market data environments 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: Lead C++ Engineer role focused on driving observability implementation across the full software development lifecycle for low-latency, high-performance distributed systems. The position combines hands-on engineering with technical leadership to build scalable monitoring, telemetry and operational tooling for latency-sensitive market data environments. The role emphasizes establishing standards, influencing teams and embedding measurable customer experience and system reliability practices. 🗂️ Requirements: 7+ years of experience in observability engineering (metrics, tracing, logging), Expertise in profiling and telemetry pipelines, Experience building and operating large-scale monitoring, observability or control platforms, Strong proficiency in C++, Experience with latency-sensitive market data systems, Hands-on experience with OpenTelemetry, eBPF and GitOps, Experience with API-driven automation and CI/CD-integrated observability, Familiarity with cloud-native, Kubernetes and distributed systems architectures, Ability to establish standards and influence engineering teams, English proficiency at B2 level or higher 📃 Skills: C++, OpenTelemetry, eBPF, GitOps, Kubernetes, CI/CD, APIs, Telemetry, Tracing, Logging, Profiling, Cloud-native, DistributedSystems 🏢 Description: We are seeking a Lead C++ Engineer with Observability to lead the observability implementation. This role combines hands-on engineering with technical leadership, ensuring customer experience, system reliability and operational insight are measurable and embedded throughout the software development lifecycle. The ideal candidate will bring significant experience from low-latency trading, market data or other high-performance distributed systems, with a strong C++ background and a track record of building production monitoring, telemetry and operational tooling at scale. Responsibilities Lead observability implementation across the software development lifecycle Ensure customer experience, system reliability and operational insight are measurable and embedded Build and operate large-scale monitoring, observability or control platforms Establishment of standards and drive adoption of observability best practices Engagement with development teams effectively to deliver telemetry and operational tooling Implementation of metrics, tracing, logging, profiling and telemetry pipelines Drive customer-experience measurement for latency-sensitive market data systems Influence engineering teams to align on observability outcomes Requirements 7+ years of experience in observability engineering, including metrics, tracing and logging Expertise in profiling and telemetry pipelines Understanding of customer-experience measurement for latency-sensitive market data systems Background in building and operating large-scale monitoring, observability or control platforms Proficiency in C++ engineering and the ability to engage effectively with development teams Skills in OpenTelemetry, eBPF and GitOps Competency in API-driven automation and CI/CD-integrated observability practices Familiarity with cloud-native, Kubernetes and distributed systems architectures Proven ability to influence engineering teams and establish standards English proficiency at B2 level or higher Nice to have Background in trading or market-making Familiarity with exchange connectivity Knowledge of market data environments 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.