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AWS Site Reliability Expert / 3rd Line Support Specialist (UAE)

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Onsite

AWS Site Reliability Expert / 3rd Line Support Specialist (UAE)

Airswift

AWS Site Reliability Expert / 3rd Line Support Specialist (UAE)

Skills

PythonPostgreSQLKafkaMicrosoft Azure Cosmos DBGrafanaData AnalysisAWSPrometheusKubernetesDatabase AdministrationTerraformAzure

13 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Abu Dhabi - United Arab Emirates

Work mode:

Onsite

Published on:

15 October 2026

What they need


Position Overview We are looking for a skilled 3rd Line Support Specialist / Site Reliability Engineer to deliver advanced support and reliability engineering for critical cloud-based systems.

The role focuses on ensuring reliability, performance, and observability across AWS environments, with strong emphasis on Kubernetes, advanced monitoring, database expertise, and distributed systems such as Kafka.

The ideal candidate will have deep observability knowledge, strong troubleshooting capabilities across AWS (EKS, RDS, MSK, VPC, IAM) and Kubernetes ecosystems, as well as hands-on experience with modern monitoring, logging, and tracing technologies. This role involves incident response, proactive reliability improvements, automation, and collaboration with engineering teams to strengthen system resilience.

Additional Project Information

  • Assignment: Full-time
  • Start Date: No later than 10 November (the sooner, the better)
  • Duration: Minimum 6-month assignment
  • Location: Candidates must be currently based in the UAE
  • Office Presence: Required at the client's office in Abu Dhabi (frequency to be confirmed)

Key Responsibilities Observability & Reliability Engineering

  • Design, implement, and maintain observability for AWS Cloud and Kubernetes workloads using Prometheus, Grafana, Open Telemetry, Fluent Bit, OpenSearch, CloudWatch, CloudTrail, Athena and other modern tooling.
  • Monitor and troubleshoot EKS, Aurora RDS (Postgres) and other AWS infrastructure at an advanced level.
  • Implement automated remediations and self-healing mechanisms.
  • Participate in incident response, root-cause analysis, and postmortems.
  • Implement security measures impacting cluster reliability (IAM, network policies, Config).
  • Support and maintain current AWS infrastructure.
  • Work with L3 teams to escalate, troubleshoot, and resolve operational issues.

Required Qualifications

  • Cloud Observability & Monitoring

  • Candidates must possess expert-level experience designing, implementing, and supporting enterprise observability solutions across cloud-native environments. This includes hands-on expertise with Grafana, Prometheus, OpenSearch, OpenTelemetry, Fluent Bit, CloudWatch, and CloudTrail, as well as a strong understanding of distributed tracing, metrics pipelines, log aggregation, monitoring strategies, and operational insights.

  • AWS Platform Expertise

  • Strong operational and troubleshooting experience within AWS environments is essential, including:

  • Amazon EKS (Kubernetes)

  • Amazon RDS (PostgreSQL)

  • Amazon MSK (Kafka)

  • AWS Networking (VPCs, Security Groups, Route Tables, Connectivity)

  • AWS IAM (Roles, Policies, and Access Controls)

  • AWS Monitoring & Observability Services

  • Candidates should also demonstrate a solid understanding of AWS architecture, networking, security, scalability, resilience, and reliability best practices.

  • Kubernetes & Database Administration

  • Applicants must have advanced experience operating and supporting production Kubernetes environments, including cluster operations, troubleshooting, networking, performance optimization, and scaling. Strong PostgreSQL expertise is also required, particularly in database monitoring, performance tuning, troubleshooting, and operational support.

  • Incident Response & Automation

  • The successful candidate will have proven experience managing complex production incidents and driving operational excellence through automation. This includes:

  • Incident response and major incident management

  • Root Cause Analysis (RCA) and post-incident reviews

  • Service Level Agreement (SLA) management

  • Scripting and automation using Bash and/or Python

  • Automation of cloud operations, observability integrations, and recovery processes

Professional & Interpersonal Skills The ideal candidate will combine strong technical expertise with excellent communication and collaboration skills. Key attributes include:

  • Strong analytical and structured problem-solving capabilities
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • Experience working within fast-paced Agile delivery environments
  • Ability to prioritize and resolve critical operational issues under pressure

Desirable Skills

  • Microsoft Azure & Multi-Cloud Experience

  • Experience supporting Azure-based cloud environments would be advantageous, particularly in the following areas:

  • Azure Kubernetes Service (AKS)

  • Azure Monitor

  • Application Insights

  • Log Analytics

  • Cosmos DB

  • Azure PostgreSQL

  • Azure DevOps

  • Terraform

  • Candidates with exposure to both AWS and Azure environments will be highly regarded due to the potential for multi-cloud operational support requirements.

Why Join This Project? This is an opportunity to support a critical healthcare cloud environment where reliability, observability, automation, and operational excellence are essential. You will work closely with engineering and operations teams, contributing to the stability, resilience, and continuous improvement of large-scale AWS and Kubernetes platforms while leveraging modern SRE and observability practices.

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