Staff Software Engineer, Platform Engineering

About Command|Link Command|Link is a global SaaS Platform providing network, voice services, and IT security solutions, helping corporations consolidate their core infrastructure into a single vendor and layering on a proprietary single pane of glass platform. Command|Link has revolutionized the IT industry by tackling the problems our competitors create. In recognition for our unprecedented innovation and dedication, Command|Link was recognized as the SD-WAN Product of the Year, ITSM Visionary Spotlight, UCaaS Product of the Year, NaaS Product of the Year, Supplier of the Year, and the AT&T Strategic Growth Partner. Command|Link has built the only IT platform for scale that solves ISP vendor sprawl and IT headaches. We make it easy for our customers to get more done, maximize uptime and improve the bottom line. Learn more about us here ! This is a 100% remote position About your new role: This is a senior technical ownership role across Command|Link's platform engineering function. This is a high-leverage, high-autonomy role. You will drive architectural decisions, own complex delivery end-to-end, and set the engineering bar for the broader team. You'll be central to our platform's next chapter: decomposing a mature PHP monolith into well-bounded Go microservices, developing our observability and data infrastructure, and scaling the distributed systems that underpin our global SaaS product. Our platform sits at the intersection of software and network infrastructure, integrating deeply with third-party APIs, telemetry pipelines, and real-world network systems. Engineers who thrive here tend to have strong instincts at both layers. Key Responsibilities: Lead the decomposition of our PHP monolith into well-scoped discoverable Go microservices, making principled decisions about service boundaries, data contracts, and migration sequencing. Design, develop, and maintain scalable Go services, API gateways with auth and authorisation boundaries. Lead technical design and architecture discussions, balancing speed with long-term maintainability. Architect and evolve our distributed data infrastructure: event-driven pipelines (Kafka), durable workflow execution (Temporal), search and analytics (OpenSearch), and graph-based data modelling (Memgraph). Integrate with third-party APIs, telemetry systems, and network infrastructure, including SD-WAN controllers, VoIP platforms, and network device telemetry, to extend platform capabilities. Support Terraform-managed cloud infrastructure; enforce standards for reproducibility, security posture, and cost-aware architecture. Support SLAs SLOs, and CI/CD quality gates. Write clean, testable, well-documented Go and hold the team to the same standard through rigorous code reviews. Identify and resolve performance bottlenecks, reliability issues, and scalability gaps before they become customer problems. Mentor junior and mid-level engineers, sharing best practices in software design, distributed systems, and network-aware system thinking. Participate in on-call rotations and contribute to a culture of operational excellence. Takes on additional responsibilities and projects as needed to support the success of the team and organization. What you'll need for success: 8+ years of professional software engineering experience, with significant depth in backend systems and production-grade distributed architectures. Expert-level Go, including idiomatic patterns, concurrency model (goroutines, channels, context), standard library, and the judgment to know when not to reach for complexity. Practical experience with LLM development processes for success and minimising technical debt. Demonstrable experience decomposing a PHP monolith. You understand strangler fig patterns, anti-corruption layers, and how to migrate data ownership without big-bang rewrites. Hands-on experience with Kubernetes for container orchestration and OpenSearch for search and analytics workloads. Experience with Kafka or equivalent event streaming: topic design, consumer group management, back-pressure, and operational concerns at scale. Experience with Temporal for durable workflow orchestration: workflow/activity design, failure handling, and versioning. Experience with Memgraph or equivalent graph database: modelling connected data and integrating graph queries into application logic. Deep experience with; log management, custom metrics, dashboards, and monitors. Terraform for infrastructure as code: module design, state management, and multi-environment configuration. Solid understanding of relational and non-relational databases, query optimisation, and data modelling. Strong networking and systems fundamentals, including routing, switching, DNS, BGP, VLANs, or equivalent. You don't need to have built a router, but you need to be comfortable building systems that talk to them, reason about latency and protocol behaviour in production, and integrate with network device telemetry (SNMP, NetFlow, syslog, or simi