Senior DevOps & Site Reliability Engineer

Datonomy Solutions (Pty) Ltd; Sandton; On-site; ZAR 1,200,000 - 2,000,000; Full time

Job summary

Datonomy Solutions (Pty) Ltd is seeking a senior DevOps & Site Reliability Engineer to design, build and operate highly available enterprise platforms. You will work across engineering and delivery teams to boost reliability, deployment velocity, resilience and production performance.

The role spans DevOps, SRE, Azure Cloud, Platform Engineering, Kubernetes, IaC, CI/CD, Observability and DevSecOps. You will lead incident response, monitor SLIs/SLOs/SLAs and drive automation across hybrid-cloud

Qualifications

• 8+ years across software infra, devops, cloud, or platform engineering.

Responsibilities

• Design, build and operate cloud-native infrastructure and platform services.
• Develop and maintain Infrastructure as Code (IaC) solutions.
• Automate provisioning, configuration and operational processes.
• Build reusable tools, deployment templates and platform components.
• Standardise platform engineering practices across delivery teams.
• Identify opportunities to increase automation and reduce manual work.
• Design, implement and maintain enterprise CI/CD pipelines.
• Enable automated deployments, rollback and recovery processes.
• Improve deployment frequency while reducing risk and cost.
• Continuously optimise software delivery and release-management processes.
• Implement and mature SRE practices across production environments.
• Define and monitor SLIs, SLOs, and SLAs.
• Improve availability, scalability, resilience and performance.
• Lead production incident response and RCA activities.
• Drive reliability improvements and reduce technical debt.
• Improve MTTR and MTTD metrics.
• Design, implement and operate Microsoft Azure environments.
• Work with AKS, Azure App Services, Networking, Monitor, Storage and Identity.
• Design disaster recovery-ready environments.
• Optimise cloud environments for performance, resilience and cost.
• Support hybrid-cloud and multi-cloud environments.
• Build and support containerized apps with Docker and Kubernetes.
• Manage AKS and Helm configurations.
• Support container platforms and observability.

Skills

Cloud engineering

DevOps engineering

Site Reliability Engineering

Kubernetes

Azure Cloud

CI/CD

Security & DevSecOps

Observability

Automation

Infrastructure as Code

Education

Bachelor's Degree in Computer Science

Information Technology

Information Systems

Tools

Azure DevOps

GitHub / Git

Jenkins

Helm

Terraform

Bicep

ARM Templates

Ansible

Dynatrace

Grafana

Prometheus

ELK Stack

Splunk

OpenTelemetry

AKS

OpenShift

Job description

We are looking for an experiencedSenior DevOps & Site Reliability Engineer (SRE)to design, build and operate highly available, secure, scalable and automated enterprise technology platforms.

This is a senior hands-on engineering role spanningDevOps, Site Reliability Engineering, Azure Cloud, Platform Engineering, Kubernetes, Infrastructure as Code, CI/CD, Observability and DevSecOps.

The successful candidate will work across engineering and delivery teams to improveplatform reliability, deployment velocity, resilience, automation, operational efficiency and production performance, while supporting mission-critical enterprise applications.

Key Responsibilities

DevOps & Platform Engineering

• Design, build and maintaincloud-native infrastructure and platform services.

• Develop and maintainInfrastructure as Code (IaC)solutions.

• Automate infrastructure provisioning, configuration and operational processes.

• Build reusable engineering tools, deployment templates and platform components.

• Establish and standardise platform engineering practices across multiple delivery teams.

• Identify opportunities to reduce manual intervention and increase engineering automation.

CI/CD & Release Automation

• Design, implement and maintain enterprise-gradeCI/CD pipelinesfor application and infrastructure deployments.

• Implement automated testing, security scanning, code-quality controls and release automation.

• Enable automated deployments, rollback and recovery processes.

• Improve deployment frequency while reducing change and deployment risk.

• Continuously optimise software delivery and release-management processes.

Site Reliability Engineering

• Implement and matureSite Reliability Engineering practicesacross production environments.

• Define, monitor and manageService Level Indicators (SLIs), Service Level Objectives (SLOs) and Service Level Agreements (SLAs).

• Improve application and platformavailability, scalability, resilience and performance.

• Lead production incident response, troubleshooting, problem management andRoot Cause Analysis (RCA).

• Drive proactive reliability improvements and reduction of technical debt.

• ImproveMean Time to Detect (MTTD)andMean Time to Recover (MTTR).

Azure Cloud Engineering

• Design, implement and operate enterpriseMicrosoft Azureenvironments.

• Work extensively with technologies such as:

  • Azure Kubernetes Service (AKS)

  • Azure App Services

  • Azure Networking

  • Azure Monitor

  • Azure Storage

  • Azure Identity Services

• Design highly available and disaster-recovery-capable environments.

• Optimise cloud environments forperformance, resilience, security and cost.

• Support hybrid-cloud and multi-cloud environments where required.

Containers & Kubernetes

• Build, deploy and support containerised applications usingDockerandKubernetes.

• Manage Kubernetes environments, particularlyAzure Kubernetes Service (AKS).

• Develop and maintain deployment configurations usingHelm.

• Support container-platform reliability, scalability and operational performance.

• OpenShift experience would be advantageous.

Infrastructure as Code & Automation

Hands-on experience with technologies such as:

• Terraform

• Bicep

• ARM Templates

• Ansible

Candidates should be comfortable using Infrastructure as Code to build repeatable, scalable and governed enterprise infrastructure.

Monitoring & Observability

• Implement comprehensivelogging, monitoring, metrics, tracing and alerting.

• Build operational dashboards and platform insights.

• Establish enterprise observability standards.

• Implement proactive and predictive monitoring.

• Use observability information to improve application and infrastructure reliability.

Relevant technologies may include:

• Dynatrace

• Grafana

• Prometheus

• Elastic Stack / ELK

• Splunk

• Azure Monitor

• OpenTelemetry

DevSecOps & Security

• EmbedDevSecOpspractices throughout the software-delivery lifecycle.

• Integrate security scanning and controls into CI/CD pipelines.

• Support vulnerability identification, remediation and risk reduction.

• Ensure cloud and platform environments comply with enterprise security and regulatory requirements.

• Work closely with information-security teams to continuously improve platform security.

Technical Leadership

• Provide technical leadership across DevOps, Cloud, Platform and SRE teams.

• Mentor and coach junior and intermediate engineers.

• Contribute to architecture decisions and technology roadmaps.

• Promote engineering standards and operational best practice.

• Lead cross-functional initiatives aimed at improving engineering productivity and reliability.

Minimum Experience

• 8+ years' experienceacross software engineering, infrastructure engineering, cloud engineering, DevOps or platform engineering.

• 5+ years' hands-on DevOps engineering experience.

• 3+ years' Site Reliability Engineering or production-operations experience.

• Proven experience supportingmission-critical production systems.

• Experience operatinglarge-scale enterprise technology platforms.

• Strong exposure to highly available and business-critical environments.

Essential Technical Skills

Cloud

• Microsoft Azure

• Azure Kubernetes Service (AKS)

• Azure Networking

• Azure App Services

• Azure Monitor

• Azure Storage

• Azure Identity

DevOps / CI/CD

• Azure DevOps

• GitHub / Git

• Jenkins

• SonarQube

• Artifactory and/or Nexus

Infrastructure Automation

• Terraform

• Bicep

• ARM Templates

• Ansible

Containers

• Kubernetes

• Docker

• Helm

Observability

• Dynatrace

• Grafana

• Prometheus

• Elastic Stack

• Splunk

• Azure Monitor

• OpenTelemetry

Scripting / Development

Strong scripting or programming ability using technologies such as:

• Python

• PowerShell

• Bash

• C#

• Java

Go experience would be advantageous.

Core Technical Competencies

• DevOps Engineering

• Site Reliability Engineering

• Azure Cloud Engineering

• Platform Engineering

• Infrastructure Automation

• Kubernetes / Container Orchestration

• CI/CD

• Infrastructure Automation

• DevSecOps

• Cloud Architecture

• Observability

• Continuous Delivery

• Systems Integration

• Capacity Planning

• Performance Optimisation

• Incident & Problem Management

• Root Cause Analysis

Behavioural Competencies

• Strong technical problem-solving ability

• Strategic thinking

• Strong decision-making skills

• Collaboration across engineering disciplines

• Stakeholder management

• Continuous-improvement mindset

• Coaching and mentoring capability

• Accountability and ownership

• Customer-centric approach

Qualifications

A Bachelor's Degree or equivalent technical qualification in one of the following areas is preferred:

• Computer Science

• Information Technology

• Software Engineering

• Information Systems

Preferred Certifications

Relevant certifications would be advantageous, including:

• Microsoft Certified:Azure DevOps Engineer Expert

• Microsoft Certified:Azure Solutions Architect Expert

• Certified Kubernetes Administrator (CKA)

• Certified Kubernetes Application Developer (CKAD)

• HashiCorp Terraform Associate

• AWS Certified DevOps Engineer

• ITIL Foundation

• SRE Foundation Certification

Ideal Candidate

The ideal candidate is a senior, hands-on engineer who can bridgesoftware development, cloud infrastructure, DevOps, platform engineering and production operations.

They should have deep experience building and running highly available enterprise environments and possess a strongautomation-first and reliability-focused mindset.

This person should be equally comfortable troubleshooting a critical production issue, building Terraform infrastructure, improving a Kubernetes platform, designing a CI/CD pipeline, implementing observability, defining SLOs and mentoring other engineers.