📍 Job Overview

Job Title: Cloud Site Reliability Engineer
Company: Huawei Telekomünikasyon Dış Ticaret Ltd
Location: Istanbul, Turkey
Job Type: Full-Time
Category: DevOps Engineer
Date Posted: July 22, 2025
Experience Level: Mid-Senior level (5-10 years)
Remote Status: On-site (Remote OK)

🚀 Role Summary

Key Responsibilities: Manage cloud engineering tasks across various cloud service models, ensure successful delivery of public cloud projects, collaborate with R&D teams, and provide training and support to customers using Huawei Cloud services.
Key Skills: Cloud Services, Development, Analytical Approach, FaaS, IaaS, PaaS, SaaS, Cloud Integration, Cloud-native Technology, Scripting Languages, Docker, Kubernetes, Networking Technologies, Cloud Migration, Storage Technologies, Cloud AI, Big Data.

💻 Primary Responsibilities

Cloud Engineering: Manage cloud engineering tasks across various cloud service models, including FaaS, IaaS, PaaS, SaaS, cloud integration, and cloud-native technology.
Project Delivery: Ensure the successful delivery of public cloud projects by conducting demand analysis, solution design, POC verification, and traditional IT cloud solution design.
Customer Support: Collaborate with team members and other R&D teams in HQ to provide support for customers using Huawei Cloud services.
Training & Enablement: Provide enablement training for cloud developers, partners, and customers on how to use HUAWEI CLOUD services efficiently and support them during their cloud journey.

📝 Enhancement Note: The role requires a strong focus on customer support and training, indicating a customer-centric approach to cloud engineering and a need for excellent communication skills.

🎓 Skills & Qualifications

Education: Bachelor's degree in computer software or a related field.

Experience: Proven experience as a cloud consultant, cloud solution architect, or cloud advocate in developing ICT technologies or cloud-native solutions.

Required Skills:

Experience with OS Unix/Linux.
Proficiency in scripting languages (Python, Bash, SED, Awk, or Gawk).
Hands-on experience with at least one of the public cloud providers (HUAWEI CLOUD, AWS, Azure, or GCP).
Experience in systems/storage domains, storage controllers, and features like high availability, replication, and snapshot technologies.
Experience in cloud migration processes & tools (mysqldump, rsync, datasync, logstash, SQLServer Import & Export).
Good understanding of networking technologies (TCP/IP, Ethernet technologies).
Good understanding of Linux storage internals, storage iSCSI/SCSI, IP storage, disk technologies - SSD, HDD, Cloud Storage.
Experience with Docker, Kubernetes, or other orchestration tools.
Very good command of English with strong communication skills.

Preferred Skills:

Certification as a cloud practitioner solution architect by Huawei Certificated ICT, AWS, Azure, or GCP.

📝 Enhancement Note: While the role requires a strong technical skill set, the preferred skills section highlights the importance of certifications for career progression and recognition within the cloud engineering field.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience in cloud migration processes and tools, highlighting successful migrations and any challenges faced.
Showcase proficiency in scripting languages by providing examples of scripts used for automation, configuration, or data manipulation.
Display understanding of networking technologies and cloud storage by presenting relevant projects or case studies.
Highlight experience with Docker and Kubernetes by showcasing containerized applications or managed services.

Technical Documentation:

Provide clear and concise documentation for cloud migration processes, including any scripts or tools used.
Document any challenges faced during cloud migrations and how they were resolved.
Demonstrate understanding of cloud storage and networking technologies by providing relevant documentation or whitepapers.

📝 Enhancement Note: As the role involves supporting global customers, the portfolio should emphasize problem-solving, communication, and customer support skills alongside technical proficiency.

💵 Compensation & Benefits

Salary Range: The salary range for a mid-senior level cloud site reliability engineer in Istanbul, Turkey, is typically between ₺15,000 - ₺25,000 per month, according to Glassdoor and Payscale. However, the actual salary may vary depending on the candidate's experience, skills, and the company's compensation structure.

Benefits:

Competitive salary and benefits package.
Opportunities for professional development and growth within the company.
A dynamic and international work environment.
The chance to work with cutting-edge technology and contribute to high-growth cloud platforms.

Working Hours: The role requires a standard full-time workweek of 40 hours, with flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: While the salary range is provided, the actual salary and benefits package should be confirmed with the hiring organization.

🎯 Team & Company Context

🏢 Company Culture

Industry: Huawei Telekomünikasyon Dış Ticaret Ltd operates in the telecommunications industry, focusing on providing global customers with cloud services and solutions. This role involves supporting these customers and collaborating with R&D teams to ensure successful project delivery.

Company Size: As a subsidiary of Huawei Technologies Co., Ltd., the company employs over 190,000 people worldwide, providing a large and diverse work environment for cloud engineers.

Founded: Huawei Technologies Co., Ltd. was founded in 1987, with the subsidiary Huawei Telekomünikasyon Dış Ticaret Ltd focusing on cloud services and solutions.

Team Structure:

The cloud engineering team consists of experienced professionals responsible for managing cloud engineering tasks across various cloud service models.
The team collaborates with R&D teams in HQ to provide support for customers using Huawei Cloud services.
The role involves working closely with other SRE teams and customers to ensure successful project delivery.

Development Methodology:

The company follows Agile methodologies for project management and delivery.
The role requires a strong focus on customer support and collaboration with R&D teams to ensure successful project delivery.
The company emphasizes continuous learning and professional development for its employees.

Company Website: https://www.huawei.com/

📝 Enhancement Note: The company's focus on global customers and collaboration with R&D teams indicates a customer-centric and innovative approach to cloud engineering.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-senior level, requiring a solid background in cloud services, development, and analytical approach. The role offers opportunities for growth and career progression within the company.

Reporting Structure: The role reports directly to the cloud engineering team and collaborates with other SRE teams and R&D teams in HQ to provide support for customers using Huawei Cloud services.

Technical Impact: The role has a significant impact on the successful delivery of public cloud projects and the support provided to global customers using Huawei Cloud services. The role requires a strong focus on customer support and collaboration with R&D teams to ensure successful project delivery.

Growth Opportunities:

Technical Leadership: The role offers opportunities for technical leadership and growth within the cloud engineering team, with the potential to define one's own path to success.
Product Management: As the role involves collaborating with R&D teams and providing enablement training for cloud developers, partners, and customers, there may be opportunities for growth into product management or customer success roles.
Architecture Decisions: The role requires a strong understanding of cloud-native technology and the ability to make architecture decisions that ensure the successful delivery of public cloud projects.

📝 Enhancement Note: The role's focus on customer support and collaboration with R&D teams indicates a strong emphasis on customer success and technical innovation, providing opportunities for growth and career progression within the company.

🌐 Work Environment

Office Type: The role is based in Istanbul, Turkey, with an on-site work arrangement. However, the company is open to remote work for the right candidate.

Office Location(s): The office is located in Umraniye, Istanbul, Turkey.

Workspace Context:

The role involves working in a collaborative environment with other cloud engineers, SRE teams, and R&D teams in HQ.
The workspace provides access to the latest technology and tools required for cloud engineering tasks.
The role requires a strong focus on customer support and collaboration with R&D teams to ensure successful project delivery.

Work Schedule: The role requires a standard full-time workweek of 40 hours, with flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: While the role is based on-site, the company's openness to remote work indicates a flexible approach to work arrangements and a focus on attracting top talent in the cloud engineering field.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: A technical assessment or coding challenge focusing on cloud engineering tasks, such as cloud migration processes, scripting languages, and cloud storage.
Behavioral Interview: An interview focused on problem-solving, communication, and customer support skills, as well as the candidate's ability to work collaboratively with R&D teams.
Final Interview: A final interview with the hiring manager or a panel of cloud engineering team members to assess the candidate's fit for the role and the team.

Portfolio Review Tips:

Highlight experience in cloud migration processes and tools, including any scripts or tools used.
Showcase proficiency in scripting languages by providing examples of scripts used for automation, configuration, or data manipulation.
Demonstrate understanding of networking technologies and cloud storage by presenting relevant projects or case studies.
Highlight experience with Docker and Kubernetes by showcasing containerized applications or managed services.

Technical Challenge Preparation:

Brush up on cloud migration processes, scripting languages, and cloud storage.
Familiarize oneself with the latest developments in cloud-native technology and any relevant tools or platforms.
Prepare for behavioral interview questions focused on problem-solving, communication, and customer support skills.

ATS Keywords: (Organized by category)

Cloud Platforms: HUAWEI CLOUD, AWS, Azure, GCP, Cloud Services, Cloud Integration, Cloud-native Technology.
Scripting Languages: Python, Bash, SED, Awk, Gawk.
Cloud Migration Tools: mysqldump, rsync, datasync, logstash, SQLServer Import & Export.
Storage Technologies: High Availability, Replication, Snapshot Technologies, Cloud Storage, IP Storage, Disk Technologies - SSD, HDD.
Networking Technologies: TCP/IP, Ethernet Technologies, Linux Storage Internals, Storage iSCSI/SCSI.
Cloud AI & Big Data: Cloud AI, Big Data, IoT Development on Cloud.
Orchestration Tools: Docker, Kubernetes.
Soft Skills: Problem-solving, Communication, Customer Support, Collaboration, Teamwork.
Industry Terms: Cloud Engineering, Cloud Consulting, Cloud Architecture, Cloud Advocate, Site Reliability Engineering.

📝 Enhancement Note: The interview process focuses on assessing the candidate's technical skills and customer support abilities, with a strong emphasis on cloud engineering tasks and collaboration with R&D teams.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

HUAWEI CLOUD
AWS
Azure
GCP

Scripting Languages:

Python
Bash
SED
Awk
Gawk

Cloud Migration Tools:

mysqldump
rsync
datasync
logstash
SQLServer Import & Export

Storage Technologies:

High Availability
Replication
Snapshot Technologies
Cloud Storage
IP Storage
Disk Technologies - SSD, HDD

Networking Technologies:

TCP/IP
Ethernet Technologies
Linux Storage Internals
Storage iSCSI/SCSI

Cloud AI & Big Data:

Cloud AI
Big Data
IoT Development on Cloud

Orchestration Tools:

Docker
Kubernetes

📝 Enhancement Note: The technology stack focuses on cloud platforms, scripting languages, cloud migration tools, storage technologies, networking technologies, cloud AI, and big data, with an emphasis on orchestration tools for containerized applications and managed services.

👥 Team Culture & Values

Web Development Values:

Customer Focus: A strong emphasis on customer support and collaboration with R&D teams to ensure successful project delivery.
Innovation: A focus on continuous learning and professional development for employees, with an emphasis on the latest developments in cloud-native technology.
Collaboration: A collaborative work environment with other cloud engineers, SRE teams, and R&D teams in HQ.
Quality: A commitment to delivering high-quality cloud services and solutions for global customers.

Collaboration Style:

Cross-functional Integration: The role involves collaborating with R&D teams and providing enablement training for cloud developers, partners, and customers.
Code Review Culture: The role requires a strong focus on customer support and collaboration with R&D teams to ensure successful project delivery.
Knowledge Sharing: The role involves providing enablement training for cloud developers, partners, and customers, with a strong emphasis on knowledge sharing and continuous learning.

📝 Enhancement Note: The team culture emphasizes customer focus, innovation, collaboration, and quality, with a strong emphasis on cross-functional integration, code review culture, and knowledge sharing.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Cloud Migration: Experience with cloud migration processes and tools, including any scripts or tools used.
Scripting Languages: Proficiency in scripting languages, such as Python, Bash, SED, Awk, or Gawk.
Cloud Storage: Demonstrate understanding of cloud storage and networking technologies by presenting relevant projects or case studies.
Emerging Technologies: Stay up-to-date with the latest developments in cloud-native technology and any relevant tools or platforms.

Learning & Development Opportunities:

Technical Skill Development: The role offers opportunities for growth and career progression within the cloud engineering team, with a strong emphasis on technical leadership and architecture decisions.
Certifications: The role prefers candidates with certifications as cloud practitioner solution architects by Huawei Certificated ICT, AWS, Azure, or GCP.
Conferences & Community Involvement: The role involves collaborating with R&D teams and providing enablement training for cloud developers, partners, and customers, with opportunities for conference attendance and community involvement.

📝 Enhancement Note: The technical challenges and learning opportunities focus on cloud migration, scripting languages, cloud storage, and emerging technologies, with a strong emphasis on technical skill development, certifications, and conference attendance.

💡 Interview Preparation

Technical Questions:

Cloud Migration: Describe a complex cloud migration project you've worked on, highlighting any challenges faced and how you overcame them.
Scripting Languages: Provide examples of scripts you've written for automation, configuration, or data manipulation, and explain how they improved the efficiency of your workflow.
Cloud Storage: Explain your understanding of cloud storage and networking technologies, and how you've applied this knowledge in a real-world project or case study.

Company & Culture Questions:

Customer Support: Describe a time when you provided exceptional customer support, and how you handled a difficult customer or technical challenge.
Collaboration: Explain how you've collaborated with other teams or stakeholders to deliver a successful project, and how you ensured the project's goals were met.
Innovation: Discuss a time when you identified a new opportunity or improvement in a cloud engineering task, and how you implemented it to drive success.

Portfolio Presentation Strategy:

Cloud Migration: Highlight experience in cloud migration processes and tools, including any scripts or tools used, and explain how you ensured a smooth and successful migration.
Scripting Languages: Showcase proficiency in scripting languages by providing examples of scripts used for automation, configuration, or data manipulation, and explain how they improved the efficiency of your workflow.
Cloud Storage: Demonstrate understanding of cloud storage and networking technologies by presenting relevant projects or case studies, and explain how you optimized performance and ensured data security.

📝 Enhancement Note: The technical and company & culture questions focus on cloud migration, scripting languages, cloud storage, customer support, collaboration, and innovation, with a strong emphasis on portfolio presentation strategies that highlight the candidate's technical skills and customer support abilities.

📌 Application Steps

To apply for this cloud site reliability engineer position:

Customize Your Portfolio: Highlight experience in cloud migration processes and tools, scripting languages, cloud storage, and any relevant projects or case studies that demonstrate your technical skills and customer support abilities.
Optimize Your Resume: Tailor your resume to highlight your technical skills, cloud engineering experience, and customer support abilities, with a focus on the key skills and qualifications required for the role.
Prepare for Technical Interview: Brush up on cloud migration processes, scripting languages, cloud storage, and any relevant tools or platforms. Familiarize yourself with the latest developments in cloud-native technology and prepare for technical assessment or coding challenges focused on cloud engineering tasks.
Research the Company: Learn about Huawei Telekomünikasyon Dış Ticaret Ltd's focus on global customers and collaboration with R&D teams to ensure successful project delivery. Understand the company's commitment to continuous learning and professional development for its employees.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Cloud Site Reliability Engineer