Senior Software Engineer Full Time Role on-site in Doha, Qatar

Senior Software Engineer Full Time Role in Doha, Qatar

Mode: On-site - Full-time position

Region: Qatar

Description

Our client, one of the leading renewable energy companies, is currently expanding its technical team and is looking for a
Senior Software Engineer
with strong backend knowledge and experience to strengthen its digital product development capabilities.

We are looking for candidates who combine deep software engineering expertise with a strategic mindset for designing cloud-native, data-driven architectures. The ideal candidate has a strong background in backend development, CI/CD pipelines, and modern cloud platforms, and is comfortable working across software, infrastructure, and data layers. Prior experience with SCADA systems, industrial IoT, or mission-critical architectures in the energy sector is highly valued.

This role requires both hands-on technical skill and the ability to guide cross-functional teams in building scalable, maintainable, and secure digital platforms.

• Type of Role: Full time position
• Mode: On-site in Qatar
• Start Date: October-December 2025

Main Responsibilities:

• Lead
  the design and evolution of
  cloud-native
  architectures for
  scalable, maintainable, and secure
  digital platforms, with a strong emphasis on
  Google Cloud
  , while also leveraging experience with AWS and/or Azure.
• Architect and implement
  distributed backend systems and
  microservices
  using
  Java
  and, eventually,
  Python
  , following best practices in performance, resilience, and security.
• Design and govern
  Kubernetes
  -based deployment strategies across environments, ensuring
  robust container orchestration, service mesh integration, and operational observability.
• Integrate software platforms with
  industrial systems such as SCADA, OPC-UA, and IoT data sources, enabling secure and reliable interaction with physical assets in energy environments.
• Evaluate and integrate emerging technologies relevant to the energy domain, including edge computing, time-series data platforms, and asset modeling (e.g., digital twins).
• Define and drive the adoption of architectural standards, technical design patterns, and cloud governance practices across engineering teams.
• Collaborate with machine learning and data engineering teams to
  integrate intelligent processing pipelines
  and decision-support systems into production platforms.
• Provide expert guidance on
  CI/CD pipeline design, GitOps workflows
  , and infrastructure-as-code strategies using tools like Terraform, Cloud Build, or GitHub Actions.
• Apply DevSecOps principles to ensure continuous security, compliance, and traceability across cloud-native systems.
• Act as a technical
  mentor
  for senior developers and tech leads,
  fostering a culture of architectural thinking, system ownership, and continuous improvement.
• Collaborate with cross-functional stakeholders to translate business and operational requirements into scalable and future-proof technical solutions.
• Maintain high-quality documentation of architectural decisions, interfaces, and infrastructure blueprints using internal wikis, diagrams, and Confluence spaces.

Requirements:

• Bachelor's or Master's degree
  in Computer Science, Software Engineering, or a related technical discipline.
• 10+ years of
  professional experience in software engineering,
  including 3+ years in
  solution or enterprise architecture roles.
• Advanced proficiency in Java (preferred) and/or Python, with strong understanding of scalable backend architectures.
• Proven expertise in designing RESTful and event-driven APIs, microservices, and distributed systems.
• Deep knowledge of containerization (Docker) and orchestration with Kubernetes, including production-grade deployments.
• Demonstrated experience architecting cloud-native platforms, ideally with hands-on expertise in Google Cloud Platform (preferred), plus working knowledge of AWS and/or Azure.
• Experience integrating software platforms with industrial systems such as SCADA, OPC-UA, modbus, or other industrial IoT protocols.
• Proficiency in infrastructure-as-code and
  CI/CD design
  using tools like Terraform, Cloud Build, GitHub Actions, or equivalent.
• Strong understanding of DevSecOps principles and cloud security best practices.
• Comfortable working with relational and NoSQL databases, including performance and scalability trade-offs.
• Excellent leadership, communication, and collaboration skills across technical and business stakeholders
  .
• Ability to translate business and operational needs into scalable, secure, and maintainable technical architectures.

Professional background

Preferred experience

• Professional certifications in cloud architecture (e.g., Google Professional Cloud Architect, Azure Solutions Architect, or AWS Certified Solutions Architect).
• Experience building multi-tenant SaaS or PaaS platforms
  and multi-region deployments.
• Familiarity with big data and streaming architectures (e.g., Pub/Sub, Kafka, Dataflow, Spark).
• Exposure to MLOps practices and deploying AI/ML models at scale.
• Experience with digital twins, asset modeling, or time-series data platforms in energy or industrial contexts.
• Solid grounding in architecture patterns (e.g., Clean Architecture, hexagonal, domain- driven design).
• Experience with serverless technologies (Cloud Functions, Cloud Run, Azure Functions, Lambda).
• Agile methodology certifications (e.g., Scrum Master, SAFe Agilist) and familiarity with tools like Jira or Azure Boards.
• English proficiency at C1/C2 level
  , with excellent written and verbal communication skills.

Years of experience

• Senior professionals (
  10 + years of relevant experience
  ) will be considered in the selection
• process. 5-10 years' experience profiles could be considered if they are outstanding.

Personal Skill Set

• Balance between structured thinking and creative problem solving.
• Ownership mindset and attention to detail.
• Team player with collaborative spirit and strong communication skills.
• Willingness to learn and adapt to evolving technologies and tools.
• Ability to thrive in a fast-paced, innovation-driven environment.
• Interest in contributing to a more sustainable world through technology.