{"id":2607953,"url":"https://alion.io/job/liga-data-big-data-infrastructure-engineer-jordan","title":"Big Data Infrastructure Engineer - Jordan","company":{"id":4420598,"name":"LigaData","domain":"ligadata.com","url":"https://alion.io/company/ligadata","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"C","score":64,"open_postings":10,"ghost_share":0.6,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Amman, Jordan"],"countries":["JO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Bash","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"Hadoop","optional":false},{"name":"HBase","optional":false},{"name":"Kubernetes","optional":false},{"name":"LDAP","optional":false},{"name":"Linux","optional":false},{"name":"MariaDB","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Spark","optional":false},{"name":"Superset","optional":false},{"name":"Trino","optional":false},{"name":"Zabbix","optional":false},{"name":"CI/CD","optional":true},{"name":"DNS","optional":true},{"name":"Red Hat","optional":true},{"name":"TCP/IP","optional":true}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-21T09:04:47Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":49},"description":"Job Overview\nWe are seeking a Big Data Infrastructure Engineer with a strong AI-first and automation-driven mindset to join our\ninfrastructure team and support the administration and operation of enterprise Big Data platforms and their underlying\ninfrastructure.\nThe ideal candidate should have strong hands-on experience in Linux operating system administration and database\nadministration, with particular focus on configuration, troubleshooting, performance tuning, optimization, monitoring,\nand production support.\nThe candidate is expected to actively leverage AI-assisted tools and automation to improve troubleshooting,\noperational efficiency, scripting, documentation, research, and day-to-day engineering activities, while maintaining\nthe technical judgment required to validate solutions before implementation.\nThe role also requires practical knowledge of Docker and Kubernetes, along with a good understanding of clustering,\nhigh availability, distributed systems, and Big Data concepts. A strong willingness to continuously learn and stay\ncurrent with emerging AI, automation, infrastructure, and Big Data technologies is essential.\nDuties and Responsibilities\nLeverage AI-assisted tools to improve troubleshooting, log analysis, scripting, documentation, research, and\noperational efficiency while validating outputs before implementation.\nIdentify repetitive operational activities and develop automation solutions using Shell/Bash, Python, Ansible,\nAPIs, or other appropriate technologies.\nContinuously evaluate emerging AI and automation capabilities and identify practical opportunities to improve\ninfrastructure operations and engineering workflows.\nAdminister, configure, manage, troubleshoot, and optimize Linux operating systems supporting production and\nnon-production environments.\nMonitor and analyze CPU, memory, disk, filesystem, network, processes, and system services, and perform\nconfiguration and performance tuning when required.\nAdminister and manage PostgreSQL, MySQL/MariaDB, and Redis, including configuration, access management,\nbackup and recovery, monitoring, troubleshooting, maintenance, and performance optimization.\nSupport database replication, high availability, backup/recovery, and capacity management requirements.\nSupport and maintain Docker and Kubernetes environments, including deployment, configuration, monitoring,\ntroubleshooting, scaling, and cluster administration.\nSupport clustered and distributed platforms with focus on high availability, replication, failover, load\nbalancing, quorum, capacity management, and disaster recovery.\nSupport the installation, configuration, monitoring, administration, and upgrade of Cloudera/Hortonworks and\nHadoop-based environments.\nSupport and troubleshoot Hadoop ecosystem components such as HDFS, YARN, Hive, Spark, HBase, and\nKafka, as well as related platforms such as Airflow, Superset, and Trino/Presto where applicable.\nPerform production monitoring and support using tools such as Zabbix and Grafana, and participate in incident\nmanagement, root cause analysis, and corrective/preventive actions.\nSupport security integrations and technologies such as Ranger, LDAP, and Kerberos.\nCollaborate with development, infrastructure, and other technical teams on deployments, upgrades,\ninfrastructure changes, troubleshooting, and production support.\nMaintain technical documentation, operational procedures, automation, and infrastructure configuration records.\nSkills and Qualifications\n3-5 years of relevant hands-on experience in Linux/System Administration, Database Administration, Big Data\nInfrastructure, DevOps, or a related infrastructure role.\nBachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related field.\nStrong AI-first and automation-driven mindset, with demonstrated ability to use AI-assisted tools effectively in\ntechnical workflows and critically validate generated recommendations before applying them.\nBig Data Infrastructure Engineer - Job Description\nGood scripting and automation skills using Shell/Bash; knowledge of Python, Ansible, APIs, or similar\ntechnologies is highly desirable.\nStrong hands-on knowledge of Linux administration, including system configuration, service management,\nresource management, storage/filesystems, permissions, networking, troubleshooting, and performance\noptimization.\nGood hands-on knowledge of PostgreSQL, MySQL/MariaDB, and Redis administration, including configuration,\nbackup and recovery, users and privileges, monitoring, maintenance, and performance tuning.\nGood understanding of database concepts including connections, transactions, locks, indexing, query\nperformance, replication, and high availability.\nGood hands-on understanding of Docker and Kubernetes, including containers, images, pods, deployments,\nservices, storage, networking, monitoring, resource management, and troubleshooting.\nGood understanding of clustering and distributed system concepts, including high availability, replication,\nfailover, load balancing, and quorum.\nGood understanding of networking fundamentals, including TCP/IP, DNS, ports, routing, connectivity, and\nnetwork troubleshooting.\nGood understanding of Big Data concepts and the Hadoop ecosystem, with familiarity or hands-on experience\nin HDFS, YARN, Hive, Spark, Kafka, and HBase.\nFamiliarity with Cloudera or Hortonworks platforms is highly desirable.\nFamiliarity with Zabbix/Grafana, Ranger/LDAP/Kerberos, CI/CD tools, and Trino/Presto is an advantage.\nStrong troubleshooting, analytical, and problem-solving skills, with the ability to investigate issues\nsystematically and identify root causes.\nAbility to work effectively in production environments, collaborate across technical teams, take ownership of\nassigned activities, and continuously develop technical knowledge.\nPreferred Certifications\nRelevant Linux certifications such as RHCSA or RHCE.\nKubernetes certification such as CKA.\nPostgreSQL or MySQL-related certifications/training.\nRed Hat Ansible or other relevant automation certifications.\nNote: Certifications are considered an advantage and are not a substitute for practical hands-on experience.","description_format":"text","description_chars":6158,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Jordan","iso":"JO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-15T10:17:02Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.336,"p_room":0.35,"age_days":49,"expected_fill_days":22,"reasons":["conf:1","stale_co","win:tail"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/liga-data-big-data-infrastructure-engineer-jordan","json_url":"https://alion.io/job/liga-data-big-data-infrastructure-engineer-jordan.json","meta":{"generated_at":"2026-10-21T14:01:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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