SOA Operations Specialist

Role Overview

• Architect and implement secure, interoperable solutions using standard frameworks and design patterns, integrating application and infrastructure to achieve scalability and efficiency.
• Develop robust, vendor-agnostic data platforms for AI and machine learning workloads, optimising multi-cloud environments for performance and flexibility. Design of structured MLOps pipelines automating and streamlining the models’ lifecycle, from development to serving.
• Design security architectures that protect infrastructure and applications, aligning with risk management strategies and regulatory data protection and security standards.
• Continuously assess and optimise system performance and scalability using advanced metrics and predictive analytics.
• Collaborate with cross-functional teams, including AI developers, business analysts, and IT operations, to ensure architecture aligns with business objectives and technological capabilities.
• Establish CI/CD pipelines to support rapid application development and deployment in dynamic environments, utilising infrastructure-as-code and configuration management tools.
• Ensure seamless system integration and cross-platform compatibility through strategic API design, interoperability testing, and continuous benchmarking.

Requirements

• Bachelor’s Degree in Computer Science, Information Technology, or Systems Engineering.
• 15+ years of experience in IT
• Expertise in containerisation and orchestration using Docker and Kubernetes for scalable application deployment.
• Expertise in network architecture design, particularly integrating distributed systems with hybrid cloud solutions.
• Comprehensive experience with relational and non-relational databases, optimising them for high volume transaction processing (e.g., Oracle, PostgreSQL, MongoDB).
• Proficiency with advanced monitoring tools like Prometheus and Grafana to enhance infrastructure monitoring and real-time alerting.
• Experience with advanced load balancing solutions and caching technologies (e.g. Redis) to support high-traffic applications.
• Knowledge of security and vulnerability scanning tools (e.g., OWASP, SonarQube), implementing secure coding practices including robust encryption and identity management.
• Profound knowledge of version control systems like Git and integration platforms such as Jenkins, GitLab CI.
• Proficiency in distributed streaming and message queue technologies such as Kafka and RabbitMQ to efficiently manage data flows and support scalable data processing architectures.
• Proficiency in using infrastructure-as-code like Terraform and AWS CloudFormation.
• Familiarity with configuration management tools like Ansible for comprehensive system administration.
• Familiarity with AI-powered code assistants (e.g., Amazon Q, GitHub Copilot) for accelerating coding processes and enhancing developer productivity.

Tech Stack

• Ansible
• AWS
• Cloud
• Distributed Systems
• Docker
• Grafana
• Jenkins
• Kafka
• Kubernetes
• MongoDB
• Oracle
• Postgres
• Prometheus
• RabbitMQ
• Redis
• Terraform