{"id":4245712,"url":"https://alion.io/job/metlife-lead-sresite-reliability-engineer","title":"Lead SRE(Site Reliability Engineer)","company":{"id":450553,"name":"MetLife","domain":"metlife.com","url":"https://alion.io/company/metlife-5","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":null},"role":"DevOps","role_family":"DevOps","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":["Tokyo, Japan"],"countries":["JP"],"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":"AIOps","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Service Mesh","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SRE","optional":false}],"status":"live","first_seen_at":"2026-11-13T12:33:39Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T12:45:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description\n We are looking for a Principal Software / Platform Engineering professional with a track record of improving system reliability, building scalable platform capabilities, and leveraging modern technologies to enable enterprise-scale software delivery. To be successful in this role, the candidate would require a balance of hands-on technical expertise and technical thought leadership across site reliability engineering, cloud platforms, automation, observability, infrastructure engineering, and AI-enabled operational practices.\n The mission of this role is to drive operational excellence and technology transformation through Site Reliability Engineering, Platform Engineering, Artificial Intelligence, and Automation, from platform design and architecture through production-grade operations, ensuring reliable, secure, scalable, and resilient services that deliver business value to the enterprise.\n Success in this role requires strong collaboration, communication, and problem-solving skills, with an emphasis on partnering with business stakeholders, product teams, software engineers, architects, and operational support teams. This role will collaborate closely with business and technology partners to co-create solutions, navigate operational complexity, and establish reliability and platform engineering best practices across multiple initiatives.\n The Principal Software / Platform Engineer serves as a senior technical leader and individual contributor within the organization. Besides contributing through hands-on engineering, automation, and platform activities, this role influences technical strategy, promotes operational excellence, and mentors engineers across teams. Ultimately, you are responsible for helping build a highly reliable and scalable technology ecosystem through engineering best practices, reusable platform capabilities, intelligent automation, and AI-enabled operational improvements.\n Responsibilities\n Drive technology transformation through Site Reliability Engineering, Platform Engineering, Artificial Intelligence, and Automation.\nDesign, develop, and operate scalable, secure, resilient, and maintainable platform solutions supporting business-critical services.\nLead all stages of the platform engineering lifecycle, from architecture, design, and implementation through production operations, monitoring, and continuous improvement.\nSolve complex technology and operational challenges using engineering excellence, automation, observability, and data-driven decision making.\nProvide technical leadership and architectural guidance across multiple teams, platforms, and products.\nCollaborate with software engineering teams to improve reliability, scalability, performance, and operational efficiency.\nDrive adoption of platform engineering practices, Infrastructure as Code, CI/CD, cloud-native technologies, and self-service engineering capabilities.\nIdentify, evaluate, and implement emerging technologies, including AI-powered operational solutions, intelligent observability platforms, and automation capabilities.\nDefine and monitor service level objectives (SLOs), service level indicators (SLIs), and reliability metrics across platforms and services.\nLead incident analysis, problem management, operational readiness reviews, and continuous improvement initiatives.\nPromote reliability engineering best practices, including resiliency testing, disaster recovery preparedness, capacity planning, and operational excellence.\nDevelop reusable platform components, engineering accelerators, automation frameworks, and operational tooling.\nDocument and communicate technical solutions effectively to both technical and non-technical audiences.\nMentor and support engineers through technical guidance, knowledge sharing, and coaching.\nContribute to innovation, experimentation, proof-of-concepts, and continuous improvement initiatives.\nPerforms other duties as assigned or required.\nRequired Qualifications\n Bachelor's degree in computer science, information technology, engineering, or equivalent educational qualification.\n10+ years of relevant experience in platform engineering, site reliability engineering, infrastructure engineering, software engineering, or related disciplines with delivered business results.\nProven record of improving reliability, scalability, performance, and operational efficiency across enterprise technology environments.\nStrong experience designing, implementing, and supporting large-scale cloud and platform solutions.\nProven expertise in Site Reliability Engineering principles, operational excellence, resiliency engineering, and production support practices.\nExperience working with large and complex enterprise applications, distributed systems, cloud-native architectures, microservices, and integrated technology ecosystems.\nStrong expertise in automation, Infrastructure as Code, configuration management, and platform engineering practices.\nExperience establishing observability solutions, monitoring capabilities, logging strategies, alerting frameworks, and operational metrics.\nStrong programming and scripting skills in one or more languages such as Python, Java, C#, Go, PowerShell, Bash, or similar technologies.\nFamiliarity with cloud platforms (Azure, AWS, GCP) and associated infrastructure, platform, and operational services.\nExperience with CI/CD, DevOps, DevSecOps, automated deployment, and modern software delivery methodologies.\nAwareness of Software Development Lifecycle (SDLC), release management, environment management, operational support models, disaster recovery, and service management practices.\nDemonstrated ability to provide technical leadership and influence engineering direction without direct managerial authority.\nDemonstrated ability to evaluate and adopt emerging technologies to improve reliability, operational efficiency, engineering productivity, and business outcomes.\nStrong analytical, troubleshooting, root cause analysis, and structured problem-solving skills.\nExcellent communication, collaboration, storytelling, and presentation skills.\nStrong partner and stakeholder engagement experience across business and technology organizations.\nPreferable\n Banking, Financial Services, and Insurance domain knowledge.\nExperience with Microsoft Azure platform services, cloud operations, and enterprise cloud transformation initiatives.\nExperience with Kubernetes, container platforms, service mesh technologies, and cloud-native operational practices.\nExperience implementing AI-powered operational capabilities, intelligent observability, AIOps, automated remediation, or operational analytics solutions.\nExperience with Generative AI platforms, Large Language Models (LLMs), AI agents, prompt engineering, or enterprise AI frameworks.\nExperience designing and implementing internal developer platforms, self-service engineering capabilities, or platform modernization initiatives.\nExperience leading reliability improvement programs across multiple teams and products.\nExperience with performance engineering, capacity management, disaster recovery testing, and business continuity planning.\nEvidence of technical thought leadership (publications, speaking engagements, open-source contributions, patents, or internal innovation).\nRelevant certifications in cloud platforms, site reliability engineering, platform engineering, DevOps, artificial intelligence, or software engineering disciplines.\nLanguage\n Japanese: Business\nEnglish: Business","description_format":"text","description_chars":7501,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Health Insurance & Benefits","Life Insurance & Annuities"],"lifecycle":[{"event":"open","at":"2026-11-13T12:33:39Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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