{"id":4064442,"url":"https://alion.io/job/unifonic-infrastructure-engineering-manager","title":"Infrastructure Engineering Manager","company":{"id":48928,"name":"Unifonic","domain":"unifonic.com","url":"https://alion.io/company/unifonic","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"A","score":95,"open_postings":13,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":128,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riyadh, Saudi Arabia"],"countries":["SA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ArgoCD","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"DNS","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"GitOps","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"MySQL","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Redis","optional":false},{"name":"Service Mesh","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-29T09:38:13Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-11T10:32:10Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Proudly voted a Great Place to Work®, we are a dynamic startup in the CPaaS (Communication Platform as a Service) space that is revolutionizing the way businesses communicate. Our team is made up of 400+ energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.\nWe pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!\nMeet the team!\nOur Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.\nAs an Infrastructure Engineering Manager at Unifonic, you will lead the engineering and operations of production cloud platforms, combining Infrastructure Engineering, Site Reliability Engineering (SRE), Cloud Platform Engineering, and AI-native engineering to ensure reliability, scalability, security, performance, and automation. You will remain hands-on by reviewing infrastructure code and architecture, troubleshooting complex production issues, working with Kubernetes and cloud services, and using AI engineering tools such as Claude Code daily. You will focus on Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI), with strong practical GCP expertise to support the ongoing migration to GCP, while collaborating with the Infrastructure Engineering Manager - Developer Experience, who is responsible for non-production environments, CI/CD, and developer tooling.\nHelp us shape the future of communication by:\nOwning the architecture, engineering, operation, and continuous improvement of production infrastructure across GCP and OCI.\n\nTaking a leading technical role in migrating production workloads to GCP.\n\nDesigning highly available, scalable, resilient and secure production platforms.\n\nSetting engineering standards for compute, networking, storage, IAM and cloud-native services.\n\nMaking sure the architecture meets availability, performance, capacity and disaster recovery requirements.\n\nEstablishing consistent engineering patterns across GCP and OCI instead of treating each cloud as an isolated platform.\n\nOwning production Kubernetes platforms and their supporting ecosystem.\n\nKeeping clusters secure, observable, scalable, resilient and automated.\n\nOwning platform capabilities including ingress, service networking and service mesh, monitoring and logging.\n\nWorking with application engineering teams to improve workload reliability and operational readiness.\n\nBuilding automation and self-service capabilities that reduce manual infrastructure work.\n\nEstablishing and improving SRE practices across production infrastructure.\n\nDriving reliability through meaningful SLIs, SLOs, and operational metrics.\n\nImproving availability, capacity management and production resilience.\n\nLeading infrastructure-level troubleshooting during complex production incidents.\n\nChampioning rigorous root-cause analysis and permanent corrective actions.\n\nReducing operational toil through engineering and automation.\n\nImproving monitoring, observability, and early detection of infrastructure problems.\n\nBuilding reliability into architecture and design, not only after incidents.\n\nDriving an Infrastructure-as-Code-first operating model.\n\nKeeping strong discipline around Terraform, reusable modules, automated validation and controlled production changes.\n\nMaking sure infrastructure changes follow software engineering practice: source control, pull requests, peer review, testing and automated deployment.\n\nUsing Bitbucket as the core of the infrastructure engineering workflow.\n\nHolding infrastructure repositories to the same standards as production application code.\n\nEmbedding AI into daily infrastructure engineering, not as an occasional add-on.\n\nUsing Claude Code to understand repositories, develop and review infrastructure code, investigate problems and automate workflows.\n\nBuilding and using MCP (Model Context Protocol) servers that connect AI agents to infrastructure tooling.\n\nApplying AI to infrastructure monitoring, optimisation, incident investigation and root-cause analysis.\n\nUsing AI to develop, validate and review Terraform.\n\nDefining where human validation and approval remain essential.\n\nMaking sure AI is used safely around production systems, credentials and sensitive operational data.\n\nOversee critical production platform and backing services, including their lifecycle, standardisation, automation, availability, security, backup and disaster recovery:\nDatabases and data infrastructure (for example MySQL, PostgreSQL)\n\nCaching (for example Redis)\n\nMessaging and middleware\n\nKubernetes platform services\n\nNetworking and connectivity\n\nIAM and secrets management\n\nObservability platforms\n\nBackup and recovery services\n\nBuild security into infrastructure design and day-to-day engineering.\n\nOwn IAM, network security, segmentation, secrets management and infrastructure hardening.\n\nPartner with Security Engineering on vulnerabilities and production risks.\n\nMake sure AI-assisted engineering follows security and governance controls.\n\nKeep infrastructure changes auditable through Infrastructure as Code and source control.\n\nPut guardrails and human oversight on production automation.\n\nLead, mentor and grow a high-performing team of Infrastructure and SRE engineers.\n\nStay technically credible: guide architecture, review solutions and join complex troubleshooting.\n\nBuild a culture of engineering ownership rather than ticket handling.\n\nChallenge manual processes and find opportunities to automate.\n\nDrive adoption of AI-native engineering and coach engineers on Claude Code, MCP tooling and AI-assisted workflows.\n\nPartner with Product Engineering, Security and other teams on production platform strategy.\n\nSet clear engineering standards and keep documentation and knowledge sharing strong.\n\nRequirements\nWhat you’ll bring:\n10+ years of experience across Infrastructure, Cloud, Platform Engineering, DevOps, or SRE.\n\n3+ years of experience leading infrastructure, SRE, platform, or cloud engineering teams.\n\nProven experience designing and operating highly available, production-grade cloud environments.\n\nStrong hands-on experience with production Kubernetes.\n\nSignificant hands-on experience with Terraform and Infrastructure as Code (IaC).\n\nStrong understanding of networking, IAM, security, observability, and production operations.\n\nExperience leading a major infrastructure migration or platform transformation.\n\nSubstantial hands-on experience designing, deploying, troubleshooting, and operating production workloads on Google Cloud Platform (GCP).\n\nAbility to discuss real-world GCP production architecture and operational decisions beyond theory or certifications.\n\nHands-on experience with Oracle Cloud Infrastructure (OCI) and the ability to operate across both OCI and GCP.\n\nDaily, hands-on use of Claude Code in real engineering work.\n\nPractical understanding and use of MCP (Model Context Protocol) servers.\n\nProven use of AI in software engineering, SRE, or infrastructure workflows beyond chat-style prompting.\n\nAbility to use AI effectively across large infrastructure and code repositories.\n\nExperience using AI to generate, understand, review, and troubleshoot Infrastructure as Code.\n\nExperience using AI for production troubleshooting and incident investigation.\n\nFamiliarity with agentic engineering workflows, including sub-agents, reusable skills, and commands.\n\nStrong judgment in validating AI-generated code and keeping humans involved in critical decisions.\n\nStrong Git-based engineering practices using Bitbucket.\n\nAbility to demonstrate practical AI-native engineering workflows.\n\nKnowledge of Kubernetes, Helm, Kubernetes Operators, and service mesh.\n\nProficiency in Git, Bitbucket, and Linux administration.\n\nStrong understanding of cloud networking, DNS, IAM, and secrets management.\n\nExperience with observability, monitoring, and logging.\n\nExperience with CI/CD, GitOps, production incident management, and troubleshooting.\n\nKnowledge of high availability and disaster recovery practices.\n\nExperience with Claude Code, MCP servers, and AI-assisted engineering.\n\nExperience with other AI coding tools, such as GitHub Copilot, Cursor, or Gemini.\n\nExperience with MCP servers for Terraform, Vault, ArgoCD, or Atlassian.\n\nGCP Professional certifications, such as Professional Cloud Architect or Professional Cloud DevOps Engineer.\n\nExperience in telecommunications, CPaaS (Communications Platform as a Service), or messaging environments.\n\nCharacter Traits:\nAnalytical thinking and problem-solving - approach problems clearly, use data, and find solutions.\n\nOwnership and accountability - take responsibility and follow projects through to completion.\n\nCommunication - explain ideas clearly and listen to others across teams.\n\nCollaboration - work well with others and support team goals.\n\nAdaptability and learning - adjust to change and keep learning new skills or tools.\n\nMentorship and knowledge sharing - help others grow and share what you know.\n\nResilience - stay calm under pressure and handle setbacks constructively.\n\nQuality and attention to detail - do work carefully and strive for improvement.\n\nAdvocacy and innovation - encourage best practices, efficiency, and new ideas\n\nAs a Unifone you’ll receive a range of benefits:\nCompetitive salary and bonus\n\nUnifonic share scheme (we are all owners!)\n\n30 holiday days after the first anniversary\n\nYour Birthday off!\n\nSpend up to 25 days per year working from anywhere in the world!\n\nPaid leave for new 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