Staff DevOps - Engineer

We are seeking an experienced and highly skilled Senior Staff Engineer - DevOps to lead the design, implementation, and optimisation of cloud-native platforms, infrastructure automation, and DevOps practices across a multi-cloud ecosystem. This role requires deep expertise in Microsoft Azure, Google Cloud Platform (GCP), container orchestration, infrastructure-as-code, observability, and real-time data streaming technologies. The ideal candidate will serve as a technical leader, driving platform engineering excellence, reliability, security, scalability, and automation while mentoring engineering teams and influencing strategic technology decisions.
The candidate will have responsibilities across the following functions:
Cloud Infrastructure and Platform Architecture:
Design, implement, and manage highly available, scalable, and cost-optimised cloud infrastructure on Microsoft Azure and Google Cloud Platform (GCP).
Lead deployment, administration, and lifecycle management of containerised applications using Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE).
Architect and implement advanced Kubernetes capabilities including: Horizontal and Vertical Pod Autoscaling, Ingress Controllers, Service Mesh (Istio), Network and Security Policies
Establish cloud architecture standards, governance, security controls, and best practices for enterprise-scale environments.
CI/CD and DevSecOps:
Architect and maintain enterprise-grade CI/CD pipelines utilising GitHub Actions for automated, secure, and reliable software delivery.
Integrate security, compliance, and quality controls throughout the software development lifecycle following DevSecOps principles.
Drive adoption of GitOps methodologies and Policy-as-Code for infrastructure governance and deployment consistency.
Collaborate with development, security, and operations teams to improve release quality and deployment velocity.
Streaming and Messaging Systems:
Design, deploy, and manage Apache Kafka and Confluent Kafka platforms supporting mission-critical real-time streaming workloads.
Implement scalable event-driven architectures using Google Cloud Pub/Sub.
Optimise streaming infrastructure for performance, fault tolerance, scalability, and operational efficiency.
Ensure high availability and security for enterprise messaging ecosystems.
Observability and Site Reliability Engineering (SRE):
Define and implement enterprise-wide observability frameworks using: Azure Monitor, Prometheus, Grafana, ELK Stack, GCP Operations Suite.
Establish and maintain Service Level Agreements (SLAs), Service Level Objectives (SLOs), and Service Level Indicators (SLIs).
Lead production incident management, root cause analysis, post-incident reviews, and resilience improvement initiatives.
Promote reliability engineering best practices through automation and proactive monitoring strategies.
Infrastructure Automation and Infrastructure as Code (IaC):
Champion Infrastructure-as-Code (IaC) adoption using:
Terraform
Bicep
ARM Templates
Automate cloud provisioning, configuration management, and operational workflows.
Develop tooling and automation frameworks using:
Python
Bash
PowerShell
Cloud Functions
Enforce infrastructure governance, version control, and repeatability across environments.
Technical Leadership:
Provide technical direction and architectural guidance for cloud and DevOps initiatives.
Mentor engineers and promote engineering excellence across teams.
Drive continuous improvement in platform reliability, security, scalability, and operational efficiency.
Collaborate with architects, developers, security teams, and business stakeholders to align technology solutions with organisational goals.
Requirements:
9+ years of experience in DevOps, Site Reliability Engineering (SRE), Cloud Infrastructure, or Platform Engineering roles.
Minimum 3+ years in a senior technical leadership capacity.
Strong track record of delivering cloud-native platforms and enterprise-scale automation solutions.
Technical Expertise:
Deep hands-on experience in:
Microsoft Azure and Google Cloud Platform architecture and services.
AKS and GKE administration and optimisation.
Kubernetes platform engineering and container orchestration.
Apache Kafka, Confluent Kafka, and Cloud Pub/Sub.
CI/CD pipeline development using GitHub Actions.
Observability platforms including Azure Monitor, Prometheus, Grafana, ELK Stack, and GCP Monitoring.
Scripting and automation using Python, Bash, and PowerShell.
Infrastructure-as-Code using Terraform, Bicep, and ARM Templates.
NoSQL databases and distributed systems.
Core Experience:
Enterprise system architecture and design.
Production operations and incident management.
Cloud security and compliance implementation.
Cross-functional collaboration and stakeholder management.
Performance tuning, scalability, and optimisation.
Preferred Qualifications:
Experience operating in multi-cloud and hybrid-cloud environments.
Familiarity with chaos engineering principles and resilience testing.
Knowledge of disaster recovery, business continuity, and cloud cost optimisation.
Cloud certifications such as:
Microsoft Certified: Azure Solutions Architect Expert.
Azure DevOps Engineer Expert.
Google Professional Cloud Architect.
Certified Kubernetes Administrator (CKA).
Terraform Associate.
Core Competencies:
Strategic and systems-thinking mindset.
Strong analytical and problem-solving abilities.
Inclusive, collaborative, and empathetic leadership style.
High integrity and ownership mentality.
Innovation-driven with a focus on technical excellence.
Strong mentoring and coaching capabilities.
Customer-centric approach to technology delivery.
Commitment to continuous learning and professional development.
Excellent written and verbal communication.

Experience
9-12 yrs