---
title: 'Cloud Platform System Engineer at Encora'
canonical: 'https://feeny.ai/job/cloud-platform-system-engineer-encora-brazil-607rhzm5y65z'
type: 'job'
last_seen: '2026-09-08'
---

# Cloud Platform System Engineer at Encora

- **Company:** Encora
- **Location:** Brazil
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/encora10/jobs/5227166007

## Job description

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.

## About Encora

## Core Business
- Primary industry: IT Services and IT Consulting; digital product engineering; AI and cloud services
- Target customers: B2B, enterprise, digital-native organizations, and large corporations seeking modernization and innovation acceleration
- Mission: To deliver innovation acceleration and industry contextual modernization to clients through AI-first design, orchestration, and engineering services
- Vision: To power a world where every enterprise is endlessly composable, driven by digital workers, infinite scalability, and the freedom to innovate without limits

## Products & Services
- **Encora AIVA™**: An orchestration platform for AI-native engineering, enabling composable enterprise systems that sense change and reconfigure in real time.
- **Software Engineering Services**: Full-stack development, cloud migration, data engineering, AI/ML solutions, and product engineering across industries (fintech, healthcare, retail, etc.).
- **Nearshore Delivery Model**: Global delivery centers in the Americas, Europe, India, and Southeast Asia, providing nearshore agility with global scale.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (acquired by Coforge; acquisition terms not publicly detailed)
- **Key Metric**: Annual Revenue: USD $630 million (latest); Total Funding: USD $215 million across 3 rounds
- **Notable Investors/Partners**: Warburg Pincus (lead investor in $200M PE round in 2019); Coforge Limited (parent company post-acquisition)
- **Growth Signals**:
  - Acquired by Coforge (April 2026) – financial consolidation from May 1, 2026, with a 20–25% G&A reduction target
  - Workforce of ~6,191 employees (down 0.4% YoY) operating in 42 countries
  - Active job postings: 349 (+53.1% YoY)
  - Recognized as “Best Companies to Work For” in India (2025), top 4 among multinationals in Brazil, and top 10 in Peru

## Competitive Advantages
- **Global Nearshore Scale**: 9,500+ engineers, designers, and domain experts across 42 countries, offering cost-effective, time-zone-aligned delivery.
- **AI-First Engineering**: Proprietary Encora AIVA™ platform for orchestrating AI-native solutions, differentiating from traditional IT services firms.
- **Deep Industry Expertise**: Hyperspecialized in cloud, data, and AI with a track record of serving digital-native clients and large enterprises.
- **Acquisition Backing**: Integration into Coforge provides access to larger client programs and expanded career pathways.

## Strategic Focus
- **Post-Acquisition Integration**: Seamlessly merging with Coforge while maintaining Encora’s brand and delivery capabilities. Near-term priorities include org restructuring, process alignment, and cost synergy realization.
- **AI-Native Services**: Doubling down on AI agents, trusted AI governance, and outcome-led engineering to move clients beyond experimentation.
- **Talent Development**: Expanding learning & development programs (AWS, Azure, Snowflake, GCP, Databricks certifications) and internal mobility to retain top engineers.

## Why Work Here
- **Culture & Recognition**: Certified “Great Place to Work” in multiple regions; recognized by Comparably for Career Growth, Best Engineering Team, Best Company for Diversity, and Company Happiness.
- **Remote/Hybrid Policy**: Flexible work-from-home scheme; remote workers in Mexico receive a monthly allowance of MXN 700 for internet/electricity, plus desk and chair after 3 months. No dress code, pet-friendly environment.
- **Perks & Benefits** (varies by location):
  - Top-of-the-line MacBook Pro
  - Unlimited book budget and training/certification support
  - Private health insurance (including family) with dental and life insurance
  - 12 days paid vacation from day one (Mexico), 5 days PTO, 30 days aguinaldo (mandatory annual bonus)
  - Psychotherapy support (12 sessions covered fully)
  - Savings fund, grocery vouchers, and snack stations in select offices
- **Considerations**: Compensation inconsistency across geographies and accounts; project-dependent stability; change fatigue from post-acquisition integration. Candidates should confirm review cycles, salary bands, and account assignment during interviews.

## Sources
1. [wellfound.com](https://www.encora.com/?avantica-is-now-encora) – Encora company profile (revenue, funding, employees)
2. [linkedin.com](https://www.linkedin.com/company/encorainc) – Encora LinkedIn page (followers, recent departures, locations)
3. [builtin.com](https://builtin.com/company/encora/faq/workplace-perception) – Workplace perception analysis (post-acquisition integration, compensation, culture)
4. [assets.ctfassets.net](https://assets.ctfassets.net/yon5rraf34cy/4MbvOWuHfRCr3sdTTjxiKn/0c58eaca56fffcd235e68110fcc2664e/FAQ_Encora_Inc_-_Mexico.pdf) – Encora Mexico FAQ (benefits, remote work, leave policies)
5. [careers.encora.com](https://careers.encora.com/why-encora) – Encora careers page (values, mission, recognition)

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