{"id":1220858,"url":"https://alion.io/job/logicmonitor-director-ai-platform-reliability","title":"Director, AI Platform Reliability","company":{"id":514,"name":"LogicMonitor","domain":"logicmonitor.com","url":"https://alion.io/company/remotely","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":247500,"max":275000,"currency":"USD","period":"year","gross":null,"usd_annual":275000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false}],"status":"closed","first_seen_at":"2026-08-18T14:46:39Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-09-28T20:07:01Z","board_verified":false,"closed_at":"2026-09-28T20:07:01Z","days_open":41,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":41},"description":"About Us: \nWe love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.\nThis role is open to candidates based in or near San Francisco, CA. At LogicMonitor, we hire within our Centers of Energy-vibrant locations where our teams connect, collaborate, and innovate.\nTo learn more about life at LogicMonitor, check out our Careers Page.\nWhat You'll Do:\nLogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise.\nOur customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! \nWe are looking for an accomplished and hands-on Director of AI Platform Reliability to lead the architecture, development, and operation of highly scalable, distributed software platforms.\nThis leader will be responsible for systems that process hundreds of millions/billions of transactions and events, manage terabytes to petabytes of data, and deliver reliable, low-latency services to enterprise customers. The ideal candidate combines strong engineering depth in Java, Kafka, distributed systems, and cloud-native microservices with a demonstrated ability to build and lead high-performing engineering organizations.\nThis is a strategic leadership role, but it requires a leader who can remain close to the technology, participate in architecture reviews, challenge design decisions, guide teams through complex production problems, and establish the engineering practices required to operate mission-critical platforms at scale.\nHere's a closer look at this key role:\n\nLead and scale multiple engineering teams responsible for high-volume, business-critical distributed systems and data platforms.\nDefine the technical strategy and architecture for platforms processing hundreds of millions of transactions and terabytes of data.\nGuide the development of Java-based microservices, APIs, Kafka streaming pipelines, batch-processing workflows, and cloud-native services.\nBuild and evolve scalable data lake and Data Lakehouse platforms supporting real-time, near-real-time, and batch analytics workloads.\nEstablish reliable data ingestion, transformation, storage, governance, lineage, retention, and data-quality practices across streaming and batch pipelines.\nBuild low-latency, highly available, fault-tolerant systems with strong scalability, resiliency, and disaster-recovery capabilities.\nDefine and own operational SLAs, SLOs, availability targets, recovery objectives, and performance metrics for critical services and data pipelines.\nDrive capacity planning, load testing, throughput optimization, and improvements to p95 and p99 latency.\nEnsure effective Kafka design, including partitioning, consumer groups, ordering, schema evolution, replay, and lag management.\nEstablish engineering standards for architecture, coding, testing, security, observability, and production readiness.\nPartner with Product, Architecture, SRE, Security, Data, and Infrastructure teams to deliver strategic platform initiatives.\nStrengthen operational excellence through monitoring, incident management, on-call practices, root-cause analysis, and continuous reliability improvements.\nRecruit, mentor, and develop engineering managers, architects, and senior technical leaders.\nImprove developer productivity, CI/CD automation, deployment safety, and release predictability.\nManage technical debt, platform modernization, cloud costs, and long-term scalability investments.\nWhat You'll Need:\n10+ years of professional software-engineering experience, including significant experience building large-scale distributed systems.\nExperience leading engineering teams, architects, and staff engineers.\nDemonstrated success delivering and operating platforms that process hundreds of millions of transactions, requests, or events.\nDeep technical expertise in Java, JVM performance, concurrency, multithreading, memory management, and application profiling.\nStrong experience designing and operating microservice-based and event-driven architectures.\nExtensive production experience with Apache Kafka or a comparable distributed streaming platform.\nStrong understanding of Kafka partitioning, replication, consumer groups, offset management, ordering, delivery semantics, schema evolution, and reprocessing.\nExperience designing low-latency, highly available APIs and backend services.\nExperience managing terabyte- or petabyte-scale datasets across relational, NoSQL, streaming, and object-storage technologies.\nStrong understanding of distributed-systems concepts, including consensus, replication, partitioning, consistency models, idempotency, backpressure, and fault tolerance.\nExperience operating cloud-native applications using Kubernetes, containers, infrastructure as code, and automated CI/CD pipelines.\nExperience with at least one major cloud platform, such as AWS, Google Cloud, or Microsoft Azure.\nStrong knowledge of observability practices involving metrics, logs, traces, profiling, alerting, dashboards, and service-level objectives.\nDemonstrated experience improving system reliability, scalability, latency, cost efficiency, and engineering productivity.\nStrong written and verbal communication skills, including the ability to explain complex technical decisions to engineering teams, executives, and business stakeholders.\nProven ability to build inclusive, accountable, and high-performing engineering organizations.\nResidents of California, click Here to view our California Applicant Privacy Notice.\nAnticipated Application Close Date: 10/26/26\nLogicMonitor is an Equal Opportunity Employer\n At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best.\nFor us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n Work Authorization:\nAt this time, we are able to consider candidates who are authorized to work in the United States on a full-time, permanent basis without requiring new or initial employer-sponsored work authorization.\nCandidates who currently hold valid U.S. work authorization that can be transferred to a new employer (such as certain H-1B statuses) may be considered on a case-by-case basis.\nWe are not able to provide new sponsorship for employment-based visas that require an initial petition or application by the employer.\n#LI-JP1 #LI-Hybrid #BI-Hybrid\nLogicMonitor is dedicated to fostering a culture of transparency and fairness, including our commitment to pay transparency. We provide the base salary ranges for all positions posted within the United States. \nCompensation packages at LogicMonitor for eligible roles include base salary, a variable plan depending on role, along with comprehensive benefits. The range displayed on each job posting reflects the minimum and maximum base salary target for new hires in the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. As part of our holistic compensation philosophy, your package will also include, but is not limited to: Comprehensive health, dental and vision coverage, generous parental leave policies, access to our Employee Assistance Program and various Wellness programs, a 401K with company matching, a Lifestyle Spending Account, and an unlimited vacation policy. For more information on our benefits, see ourcareers page.\nThe Base Salary range for this role is:\n$247,500—$275,000 USD\n\nOur goal is to ensure an accessible and inclusive experience for every candidate.\nIf you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form.\nKnow your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U.S. Pay Transparency Nondiscrimination Provision.","description_format":"text","description_chars":9469,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Parental leave","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Observability & APM"],"lifecycle":[{"event":"open","at":"2026-09-25T11:54:26Z"},{"event":"close","at":"2026-09-28T20:07:01Z"}],"liveness":null,"pay":{"stated_usd_annual":275000,"is_top_pay":true},"html_url":"https://alion.io/job/logicmonitor-director-ai-platform-reliability","json_url":"https://alion.io/job/logicmonitor-director-ai-platform-reliability.json","meta":{"generated_at":"2026-10-02T03:28:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4875,"day_limit":5000,"remaining_today":125,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}