SRE Platform Engineer (Microsoft Azure)
Syspro
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Benefits offered by this job
Job summary
Syspro is seeking an SRE Platform Engineer to design, build, and maintain a reliable cloud platform infrastructure. You will apply SRE principles, automate workflows, and partner with development teams to embed reliability into software delivery.
You will work with Kubernetes, CI/CD, and AI-assisted observability tools to ensure scalable, resilient systems and proactive incident response. Hybrid work and strong benefits support a long-term career.
Qualifications
- Bachelor’s degree or equivalent NQF Level 7.
- 4–6 years in platform engineering/DevOps/SRE with hands-on Kubernetes, CI/CD, and cloud infra management.
- Experience owning and resolving production incidents independently.
Responsibilities
- Design and implement scalable, reliable platform infrastructure using SRE principles (SLOs, error budgets, reliability targets).
- Automate operational workflows with IaC tooling and CI/CD pipelines.
- Monitor platform health with observability tools and perform root-cause analysis to prevent recurrence.
- Maintain and improve Kubernetes-based environments for availability and security.
Skills
Education
Tools
Job description
The SRE Platform Engineer is responsible for designing, building, and maintaining the reliability, availability, and scalability of Syspro’s cloud platform infrastructure. Applying site reliability engineering principles alongside modern AIOps tooling, the role ensures platform resilience, automates operational workflows, and partners with development teams to embed reliability into the software delivery lifecycle.
- Design and implement scalable, reliable platform infrastructure using SRE principles — including service-level objectives (SLOs), error budgets, and reliability targets — to drive consistent uptime and performance.
- Automate operational workflows through infrastructure-as-code (IaC) tooling and CI/CD pipeline configuration, eliminating manual toil and accelerating deployment velocity.
- Monitor and observe platform health across services using observability tooling (Prometheus, Grafana, or Datadog equivalents), responding to incidents and driving root-cause analysis to prevent recurrence.
- Maintain and improve Kubernetes-based container orchestration environments, ensuring optimal resource allocation, availability, and security posture across all workloads.
- Leverage AI-assisted monitoring, AIOps platforms, and ML-based anomaly detection tools to proactively identify platform risks, reduce mean time to resolution (MTTR), and surface predictive insights for the team.
- Collaborate with development teams and the Senior Kubernetes Architect to embed reliability requirements into system design from the outset, participating in design reviews and pre-production readiness assessments.
- Participate in on-call rotations and incident response, contributing to post-incident reviews and implementing corrective actions to strengthen platform resilience.
Contribute to capacity planning, disaster recovery design, and business continuity efforts, maintaining up-to-date runbooks and operational documentation.
- Bachelor’s Degree in Computer Science, Information Technology, or a related field; or equivalent NQF Level 7 qualification.
Certified Kubernetes Administrator (CKA); AWS, GCP, or Azure cloud certifications; Google SRE or DORA-related training advantageous.
- 4–6 years in a platform engineering, DevOps, or site reliability engineering role. Demonstrated hands‑on experience with Kubernetes, CI/CD pipelines, and cloud infrastructure management. Proven ability to own and resolve production incidents independently.
- Experience with multitenancy cloud platform environments. Exposure to AIOps or AI-assisted observability platforms. Terraform or Ansible infrastructure-as-code experience. Background in B2B SaaS or ERP software environments.
- Site reliability engineering: working knowledge of SLOs, SLIs, error budgets, and reliability engineering practices.
- Kubernetes and container orchestration: hands‑on experience managing Kubernetes clusters, workloads, and networking configurations.
- CI/CD and IaC: proficiency with pipeline tooling (GitLab CI, GitHub Actions, Jenkins) and infrastructure-as-code (Terraform, Helm, Ansible).
- Observability and monitoring: competency with tools such as Prometheus, Grafana, Datadog, or equivalent platforms.
- AI and AIOps tooling: ability to apply AI-assisted monitoring and anomaly detection tools to improve platform health and reduce MTTR.
- Solid scripting languages (Python, Bash).
- Incident response: disciplined approach to on-call responsibilities, structured incident management, and blameless post‑mortems.
- Collaboration and communication: ability to work effectively with development teams, architects, and operations leadership.
Self-driven learning: commitment to staying current with evolving SRE practices, cloud‑native tooling, and platform technologies.
- 25 annual leave days
- 30 days paid sick leave over 3-year cycle
- Hybrid working environment (3 office days as determined by the function/ manager)
- Pension 10%
- Medical aid
- Life insurance
- Income continuation protection
- Funeral Benefit
- Provident Fund Admin Fee
- Global Education Protection
- Bonus/ commission programmes
- Maternity: 6 months at half pay
- Paternity: 2 weeks full pay
- Employee Assistance Programme
- Free Barista Coffee Daily
- Gym Facilities
- Free Daily Lunch
- Free Fruit on a Tuesday & Thursday
- Free Refreshments & Snacks Daily
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