Senior Software Engineer

August 26

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Description

• Utilise Kubernetes to manage containerised applications and ensure their smooth operation and high availability: • Deploy and manage containerised applications within a Kubernetes cluster, adhering to best practices for security, scalability, and performance. • Configure and maintain Kubernetes resources (e.g., deployments, pods, services) to ensure effective resource utilisation and application functionality. • Develop, deploy and maintain Kubernetes components (operators, controllers, etc.) taking advantage of Kubernetes flexibility to fulfil the needs of the application development. • Implement monitoring and alerting strategies to proactively identify and address potential issues within a Kubernetes environment. • Automate tasks using Kubernetes features (e.g., deployments, rolling updates, scaling) to streamline application lifecycle management and minimise manual intervention. • Collaborate with DevOps and SRE teams to ensure seamless integration of Kubernetes with existing infrastructure and deployment workflows. • Troubleshoot and diagnose issues related to containerised applications and Kubernetes resources, identifying root causes and implementing effective solutions. • Stay up-to-date on the latest advancements and best practices in Kubernetes by continuously learning and expanding your knowledge in this domain. • Implement monitoring and observability practices using Grafana and other relevant tools to gain deep insights into system health and performance: • Design and implement a comprehensive monitoring and observability strategy using Grafana and other relevant tools (e.g., Prometheus, Loki, Jaeger) to collect, visualise, and analyse system metrics, logs, and traces. • Configure and maintain dashboards within Grafana to effectively visualise key performance indicators (KPIs) and identify potential anomalies or bottlenecks. • Set up alerting mechanisms to proactively notify relevant stakeholders of critical issues or performance deviations. • Correlate and analyse data from various sources (metrics, logs, traces) to gain deeper understanding of system behaviour and identify root causes of issues. • Optimise and refine existing monitoring and observability practices based on evolving system needs and insights gained from data analysis. • Collaborate with engineering teams to translate insights from monitoring data into actionable improvements for system health and performance. • Stay informed about the latest advancements in monitoring and observability tools and techniques, continuously learning and adapting the approach for optimal results. • Design, develop, and implement scalable and efficient platform related systems using Go: • Create HLD’s (High Level Design) & LLDs (Low Level Design) in compliance with security & design authority mandates • Adhere to high-quality development principles while delivering solutions on-time & in budget • Design, develop, & test software, following established security & architectural standards • Develop, refine, & tune integrations between application elements • Package & support deployment of releases following the SRE (Site Reliability Engineer) deployment process • Prepare reports, manuals & other documentation on the status, operation, & maintenance of the software • Collaborate with DevOps engineers to automate infrastructure provisioning and deployment processes: • Identify and document opportunities for automation within the infrastructure provisioning and deployment processes. • Work with DevOps engineers to design and implement automation solutions using relevant tools and technologies (e.g., Infrastructure as Code tools, CI/CD pipelines). • Contribute to the development and maintenance of automation scripts and configurations, ensuring they are well-documented, efficient, and reliable. • Test and validate automated deployments, identifying and addressing any potential issues. • Collaborate on continuous improvement efforts, iterating on existing automation workflows and exploring new approaches to further streamline infrastructure management. • Participate in code reviews for automation scripts, providing constructive feedback to ensure code quality and maintainability. • Stay updated on the latest advancements in DevOps practices and automation tools, continuously learning and incorporating new knowledge into the collaboration process. • Research & evaluate emerging developments, technologies & best practise within the development space • Undertake ad-hoc projects & other activities as required

Requirements

• Strong Kubernetes experience • Experience deploying, orchestrating and automating business-critical services • Experience using Kustomize and Helm tools for deployment • Strong Git & CI/CD experience • Proficient in Go software development • Cloud experience (AWS, GCP, Azure) • Proven ability to work independently & collaboratively in a fast-paced technical environment. • Proficient ability to communicate in English (Written & Verbal) • ArgoCD, PostgreSQL and NATS experience are bonus points • TDD (Test Driven Development) experience • Understanding of workflow & orchestration • Knowledge & experience of the telecommunications industry & technologies