{"id":2973476,"url":"https://alion.io/job/zalo-senior-software-engineer-storage-infrastructure","title":"Senior Software Engineer, Storage / Infrastructure","company":{"id":183385,"name":"Zalo","domain":"zalo.me","url":"https://alion.io/company/zalo-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":82,"open_postings":31,"ghost_share":0,"stale_share":0.516,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ho Chi Minh City, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13000,"max_usd":39000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":7270},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Cassandra","optional":false},{"name":"CentOS Stream","optional":false},{"name":"Linux","optional":false},{"name":"ScyllaDB","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-21T03:34:34Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T19:32:58Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"The Senior Software Engineer is responsible for researching, evaluating, developing, operating, and optimizing database, storage, and distributed systems that support long-term file, photo, and video storage for Zalo product features.\nThe role requires strong foundations in software engineering, distributed systems, Linux, and infrastructure, together with the ability to independently investigate and optimize complex technical issues across multiple layers, from applications and database/storage services to operating systems and hardware\nWhat you will do\nTechnology Research & Proof-of-Concept\nResearch and evaluate new technology stacks, databases, storage systems, distributed systems, and infrastructure solutions to address existing technical challenges and future team requirements.\nBuild Proof-of-Concept implementations to evaluate technologies before production adoption.\nEvaluate performance, scalability, reliability, compatibility, and operational complexity.\nDesign benchmarks and workload tests to validate technical hypotheses and compare alternative solutions.\nAnalyze technical trade-offs and recommend solutions suitable for actual workloads and operational conditions.\nIn-house Storage & Database Systems\nDevelop, maintain, and operate in-house database and storage clusters used for long-term file, photo, and video storage for Zalo product features.\nAnalyze and resolve issues related to system performance, scalability, reliability, and capacity.\nImplement system changes, upgrades, and optimizations required to support data and workload growth.\nDevelop and improve internal tooling and automation for deployment, operation, monitoring, and troubleshooting.\nInvestigate complex bottlenecks and issues related to database and storage workloads.\nThird-party Distributed Systems\n\nOperate, maintain, troubleshoot, and tune systems such as ScyllaDB, SeaweedFS, SQL databases, Kafka, and other database, storage, or messaging platforms used by the team.\nPerform cluster deployment, upgrades, configuration changes, scaling, and capacity expansion.\nMonitor production system health, performance, and resource utilization.\nInvestigate issues related to latency, throughput, availability, and resource usage.\nPerform root cause analysis for complex issues and propose solutions to prevent recurrence.\nLinux, Hardware & Performance Engineering\nResearch, operate, troubleshoot, and optimize Linux-based systems, primarily CentOS 7 and Rocky Linux 9.\nInvestigate operating system issues affecting production stability, latency, throughput, or resource utilization.\nAnalyze performance across multiple layers, from applications and database/storage services to operating systems and hardware, to identify bottlenecks and root causes.\nTune Linux systems according to workload characteristics, including CPU/scheduling, memory/page cache, network stack, filesystems, disk I/O, resource limits, and kernel parameters.\nInvestigate memory pressure, resource contention, I/O latency, network performance, and filesystem behavior.\nPerform benchmarks and workload tests to evaluate the impact of operating system or hardware configuration changes.\nResearch and evaluate hardware for database and storage workloads, including RAM, NICs, RAID controllers/configurations, SSDs, NVMe devices, HDDs, and server configurations affecting performance or stability.\nCompare hardware and configuration alternatives based on actual workloads and benchmark results.\nRecommend configurations by considering performance, reliability, capacity, and cost trade-offs.\nMonitoring, Reliability & Troubleshooting\nBuild and improve monitoring, metrics, logging, and alerting for assigned systems.\nMonitor performance, resource utilization, capacity, and overall system health.\nTroubleshoot complex production issues involving applications, databases, operating systems, networks, or hardware.\nPerform root cause analysis and recommend corrective actions for significant incidents. \nImprove tooling, automation, and configuration to increase system reliability and reduce operational workload.\nCross-team Coordination\nCoordinate with product teams, infrastructure teams, and other engineering teams to resolve dependencies, support requirements, and technical issues during implementation. \nProactively track and follow up on infrastructure and cross-team dependencies to support product delivery timelines. \nCollaborate with relevant teams to investigate and resolve issues during integration, deployment, and production operation. \nKeep track of infrastructure and related system changes that may affect the systems under the team's responsibility.\nWhat you need\nStrong foundation in software engineering and backend/distributed systems. \nGood understanding of replication, partitioning, consistency, availability, fault tolerance, and failure recovery. \nExperience working with database, storage, or data infrastructure systems. \nStrong Linux system administration, troubleshooting, and performance tuning skills. \nExperience with CentOS, RHEL, Rocky Linux, or equivalent Linux distributions. \nExperience operating high-availability production systems with large workloads. \nExperience with technologies such as ScyllaDB/Cassandra, Kafka, SQL databases, SeaweedFS, or equivalent distributed storage systems. \nUnderstanding of how CPU, RAM, NICs, RAID controllers, SSDs, NVMe devices, and HDDs affect database and storage workloads. \nExperience with monitoring, metrics, logging, and observability. \nProgramming or scripting skills for automation, internal tooling, and Proof-of-Concept development. \nStrong troubleshooting, analytical, and problem-solving skills.","description_format":"text","description_chars":5651,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Messaging Apps","Social 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