Cloud Platform System Engineer

Job Title: Cloud Platform System Engineer

Key Skills: Python, Containerization, Linux Administration, CI/CD Pipelines, Cloud Monitoring & Observability, Performance

Location: Brazil

Mode: Remote

We at Coforge are seeking a highly skilled and experienced Cloud Platform System Engineer to join our team. This role focuses on performance assessment, system limits evaluation, and KPI-driven analysis for a Private Cloud Platform solution designed for distributed Edge computing. You will be part of a talented team responsible for delivering a robust private cloud platform that supports containerized applications, virtual machines, and bare metal nodes.

Key Responsibilities:

• Define and maintain Key Performance Indicators (KPIs) that characterize the platform's performance boundaries and system limits, including scalability ceilings, resource saturation thresholds, latency budgets, and throughput baselines.
• Track KPI trends across builds and releases, identifying performance regressions, drift, or degradation patterns early in the development cycle.
• Execute performance assessments as part of pre-release validation, providing data-driven evidence for release readiness decisions.
• Design and develop test workloads, synthetic applications, and stress scenarios to stimulate the system under controlled conditions and expose performance characteristics.
• Develop and maintain tools, frameworks, and automated pipelines for continuous performance measurement, data collection, and KPI reporting.
• Execute and analyze performance experiments (load, soak, spike, scalability, endurance) to identify system limits and regression points.
• Analyze performance-related issues reported from production to identify gaps in current KPIs, test workloads, or measurement coverage, and incorporate findings into the assessment process for subsequent releases.
• Support reproducibility of performance results by documenting environments, configurations, workloads, and measurement methodologies.
• Troubleshoot performance anomalies and regressions by correlating system metrics, logs, traces, and resource utilization data across distributed components.
• Collaborate with development and test teams to provide performance insights that inform architecture decisions, capacity planning, and release readiness.
• Contribute to a highly available, carrier-grade private cloud platform aimed to be at the core of 5G and distributed Edge deployments worldwide.

 

Required Skills & Qualifications:

• Proficiency in Python for developing automation scripts, tools, or pipelines for performance data collection, analysis, or reporting.
• Strong analytical, troubleshooting, and attention to detail skills, with a data-driven and methodical approach to performance investigation.
• Strong Linux familiarity, including terminal usage and understanding of OS internals (process scheduling, memory management, file systems, I/O subsystems, cgroups, namespaces).
• Experience with Linux performance observability tools (e.g., perf, top/htop, vmstat, iostat, sar, dstat, pidstat, strace, bpftrace).
• Experience collecting, correlating, and interpreting system metrics (CPU, memory, disk I/O, network throughput/latency) in distributed architectures.
• Strong understanding of computer networking at the transport (TCP/UDP) and network (IP) layers, with the ability to assess network performance characteristics (bandwidth, latency, packet loss, jitter).
• Experience installing, deploying, and configuring systems and applications on Linux-based hosts.
• Able to communicate in English at a minimum according to the parameters of level B2 for understanding, speaking, and writing of the CEFR matrix.

 

Preferred Skills:

• Experience defining KPIs for infrastructure or platform systems.
• Experience with Linux performance testing frameworks or load generation tools (e.g., fio, iperf, qperf, cyclictest).
• Experience building CI/CD pipelines that integrate performance benchmarking (e.g., Jenkins, GitLab CI, GitHub Actions).
• Kubernetes cluster administration and understanding of K8s performance dimensions.
• OpenStack administration and performance considerations.
• Experience with monitoring and observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, collectd, telegraf).
• Understanding of Docker/Containers and their performance implications.
• Knowledge of cloud platform concepts and capacity planning.
• Experience with large-scale systems monitoring and alerting.

 

Posted On: 21-08-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.