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Site Reliability Engineer

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Tekever

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Location:
Portugal , Lisboa

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

As a Site Reliability Engineer (SRE), you will be a key player in ensuring our production systems are highly available, scalable, and performant. You will bridge the gap between development and operations, applying a software engineering mindset to system administration topics. You'll be responsible for building and maintaining large-scale, fault-tolerant distributed systems, with a strong focus on automation, operational excellence, and reliability under real-time, high-throughput constraints. The ideal candidate has a strong background in software engineering and systems administration, with a passion for solving operational problems with code.

Job Responsibility:

  • Design, build, and maintain highly available, scalable infrastructure for distributed and stateful workloads, supporting real-time data ingestion, AI inference pipelines, and hybrid cloud/edge deployment
  • Automate repetitive manual tasks, infrastructure provisioning, and operational workflows to reduce toil and improve system efficiency
  • Implement and manage robust monitoring, logging, and alerting solutions to proactively detect and address issues
  • Define and track Service Level Indicators (SLIs) and Service Level Objectives (SLOs)
  • Participate in an on-call rotation to respond to production incidents
  • Lead blameless post-mortem analyses for incidents in complex distributed systems, identifying root causes, systemic weaknesses, and implementing long-term preventative measures
  • Manage and provision cloud and on-premise infrastructure using IaC principles and tools like Terraform and Ansible
  • Conduct performance analysis, system tuning, and capacity planning to ensure our services meet performance and cost-efficiency goals
  • Develop, test, and maintain disaster recovery plans and business continuity strategies to ensure service resilience
  • Work closely with software development teams to consult on system design, platform choices, and reliability best practices for new features and services
  • Create and maintain comprehensive documentation for system architecture, runbooks, and operational procedures

Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
  • 3+ years of experience in Site Reliability Engineering, DevOps, or a related software/systems engineering role
  • Proficiency in one or more programming languages such as Python, Go, or Bash for automation and tooling
  • Deep understanding of Linux/Unix operating systems and networking fundamentals (TCP/IP, DNS, HTTP, load balancing)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, with a focus on Google Cloud
  • Strong knowledge of CI/CD tools like Jenkins, GitLab CI, or CircleCI
  • Strong hands-on experience operating Kubernetes in production, including troubleshooting of networking, storage, scheduling, autoscaling, and stateful workloads
  • Experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible
  • Understanding of version control systems (e.g., Git) and with CI/CD principles and tools (e.g., GitLab CI, Jenkins)
  • Knowledge of monitoring, logging and tracing tools (e.g., Prometheus, Grafana, ELK stack)
  • Strong analytical and problem-solving skills, with an ability to diagnose and resolve complex issues in distributed systems
  • Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders
  • High attention to detail and a commitment to ensuring the accuracy and quality of work
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously
What we offer:
  • An excellent work environment and an opportunity to create a real impact in the world
  • A truly high-tech, state-of-the-art engineering company with flat structure and no politics
  • Working with the very latest technologies in Data & AI, including Edge AI, Swarming - both within our software platforms and within our embedded on-board systems
  • Flexible work arrangements
  • Professional development opportunities
  • Collaborative and inclusive work environment
  • Salary compatible with the level of proven experience

Additional Information:

Job Posted:
January 25, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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