DevOps Support Engineer

Connect; Johannesburg; On-site; ZAR 500,000 - 900,000; Full time

Job summary

Connect is seeking a DevOps Support Engineer to provide hands-on operational support for cloud-native and containerised solutions in modern cloud, Docker, and Kubernetes environments. You will troubleshoot issues, monitor platform health, support live services, and help keep production systems stable and observable.

You’ll work with engineering and platform teams to investigate incidents, respond to alerts, analyze logs and metrics, support deployments, maintain runbooks, and escalate as needed

Qualifications

• Must have hands-on experience troubleshooting production or near-production cloud-based and containerised systems.
• Experience supporting Docker containers, Docker images, and Kubernetes workloads, ideally on EKS.
• Working knowledge of AWS infrastructure and operational support patterns.
• Ability to investigate issues using logs, metrics, traces, dashboards, and alerting tools.
• Experience supporting CI/CD pipelines using GitHub CI and/or Jenkins; Docker image build and deployment issues.

Responsibilities

• Troubleshoot issues across cloud infrastructure, Docker containers, Kubernetes workloads, CI/CD processes, networking, and platform services.
• Investigate production alerts, service degradation, failed deployments, and environment issues.
• Use logs, metrics, traces, dashboards, and evidence to identify causes and support resolution.
• Escalate complex issues with clear analysis, evidence, and impact summaries.
• Monitor platform health using Prometheus, Grafana, VictoriaMetrics, Elasticsearch/Kibana, Sentry, and OpenTelemetry.
• Support incident response activities for production and non-production environments.
• Maintain runbooks and knowledge articles; contribute to post-incident reviews.

Skills

Problem solving

Incident management

Documentation

Communication

Troubleshooting

Tools

Docker

Kubernetes

AWS

GitHub CI

Jenkins

Terraform

Ansible

Packer

ArgoCD

Helm

Prometheus

Grafana

VictoriaMetrics

Elasticsearch

Kibana

Sentry

OpenTelemetry

Postgres

Kafka

Job description

Role purpose:

We’re looking for a DevOps Support Engineer to provide hands‑on operational support for cloud‑native and containerised solutions running across modern cloud, Docker, and Kubernetes environments. This role is primarily focused on troubleshooting issues, monitoring platform health, supporting live services, and helping ensure production systems remain stable, observable, and reliable.

You’re someone who enjoys solving operational problems, investigating alerts, and keeping services

stable. You are comfortable working through unclear issues methodically, including Docker image, container, deployment, and Kubernetes workload problems, using monitoring and diagnostic data to narrow down causes. You communicate clearly with engineers and stakeholders during support activities and value good runbooks, accurate documentation, and practical improvements that reduce repeated incidents.

You’ll work closely with engineering, platform, and support teams to investigate incidents, respond to alerts, analyse logs and metrics, support Docker and Kubernetes deployments, maintain runbooks, and escalates issues where deeper engineering input is required.

Main duties and key responsibilities:

Production Support & Troubleshooting

• Troubleshoot issues across cloud infrastructure, Docker containers, Kubernetes workloads, CI/CD
  processes, networking, and platform services
• Investigate production alerts, service degradation, failed Docker/Kubernetes deployments, and
  environment issues
• Use logs, metrics, traces, dashboards, and system evidence to identify likely causes and support
  resolution
• Escalate complex issues to engineering or platform teams with clear analysis, evidence, and impact
  summary
• Track recurring issues and contribute to operational improvements, runbooks, and knowledge articles

Monitoring & Platform Health

• Monitor platform health using Prometheus, Grafana, VictoriaMetrics, Elasticsearch / Kibana,
  Sentry, and OpenTelemetry
• Review alerts, dashboards, logs, container events, and telemetry to detect service issues and
  infrastructure risks
• Support alert triage, noise reduction, and monitoring coverage improvements for Docker and
  Kubernetes workloads
• Validate that services, containers, deployments, jobs, and platform components are operating
  as expected

Incident Response & Service Recovery

• Support incident response activities for production and non-production environments
• Assist with initial triage, impact assessment, workaround identification, and service recovery
• Capture incident timelines, evidence, symptoms, and actions taken during support activities
• Contribute to post-incident reviews by identifying recurring patterns, gaps in monitoring, and
  opportunities to improve support processes

Deployment, Pipeline & Environment Support

• Support GitHub CI and Jenkins pipeline issues, failed jobs, deployment errors, Docker image
  build failures, and release workflow problems
• Help troubleshoot Docker, Helm, ArgoCD, Kubernetes, and environment configuration issues
• Support infrastructure provisioning and configuration issues involving Terraform, Ansible, and
  Packer
• Assist engineering teams with Docker deployment validation, container runtime checks,
  rollback support, and environment readiness checks

Operational Maintenance & Continuous Improvement

• Maintain and improve runbooks, support procedures, Docker deployment troubleshooting
  guides, and operational documentation
• Identify repeated manual support activities that could be automated or simplified
• Support routine maintenance, health checks, capacity checks, container image checks, and
  service validation activities
• Help improve reliability, observability, and supportability of cloud, Docker, and Kubernetes
  based solutions

Stakeholder & Engineering Support

• Provide technical support to engineering and operations teams for platform, Docker
  deployment, container, and environment issues
• Communicate clearly during incidents, handovers, escalations, and support updates
• Work with engineers to validate fixes, confirm service recovery, and close support actions
• Maintain knowledge articles and known-issue documentation to improve future support
  efficiency

Required Skills & Experience

• Experience troubleshooting production or near-production cloud-based and containerised
  systems
• Hands-on experience supporting Docker containers, Docker images, and Kubernetes
  workloads, ideally on EKS
• Working knowledge of AWS infrastructure and common operational support patterns
• Ability to investigate issues using logs, metrics, traces, dashboards, and alerting tools
• Experience supporting CI/CD pipelines using GitHub CI and/or Jenkins, including Docker
  image build and deployment issues
• Working knowledge of Terraform, Ansible, Packer, Docker, Helm, and ArgoCD from a support
  and troubleshooting perspective
• Familiarity with observability tools such as Prometheus, Grafana, VictoriaMetrics,
  Elasticsearch / Kibana, Sentry, and OpenTelemetry
• Understanding of Linux, networking, VPNs, service isolation, container networking, and Zero
  Trust concepts
• Ability to document incidents, known issues, Docker deployment procedures, runbooks, and
  support procedures clearly

Desirable Experience

• Experience working in an application, infrastructure, platform, or DevOps support
  environment
• Exposure to incident management, service recovery, or operational support processes
• Experience supporting stateful services such as Postgres and Kafka
• Familiarity with load testing outputs, performance symptoms, and capacity-related issues
• Experience maintaining Docker registries, Docker image repositories, artifact repositories, or
  internal developer tooling
• Exposure to regulated environments, compliance checks, or audit-support activities
• Ability to identify recurring support issues and suggest practical improvements
• Example Tech Stack Exposure

Example Tech Stack Exposure

• AWS Docker Kubernetes Terraform Ansible Packer GitHub CI Jenkins ArgoCD Helm Prometheus Grafana VictoriaMetrics Elasticsearch Kafka Postgres OpenTelemetry Zero Trust Networking

Typical technologies in this environment include:

AWS Docker Kubernetes Terraform Ansible Packer GitHub CI Jenkins ArgoCD Helm Prometheus Grafana VictoriaMetrics Elasticsearch Kafka Postgres OpenTelemetry Zero Trust Networking