Senior Data Platform/DevOps Engineer

We are seeking a driven and highly skilled Senior Data Platform/DevOps Engineer to join a leading company in the oil and gas industry. In this role, you will work alongside Software Engineers, Machine Learning Engineers, and Data Engineers to understand their technical needs and help translate them into reliable, scalable data platform solutions. You will contribute to building, maintaining, and improving Enterprise Data Platform components — including custom data and platform products that enhance reliability and accessibility — with guidance from senior team members where needed. Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda. Responsibilities Contribute to the design, deployment, and maintenance of on-premises, hybrid, and cloud data infrastructureBuild and improve custom data and platform products that increase reliability, accessibility, and ease of use for internal teamsImplement and support monitoring, alerting, and automation solutions to ensure platform reliability and performanceAssist with performance tuning and optimization of data platform components and storage enginesApply data security best practices, including AAA, encryption, and secrets management to protect sensitive informationCommunicate with internal customers (Software Engineers, Machine Learning Engineers, and Data Engineers) to gather feedback and support their day-to-day needsSupport platform upgrade and migration activities in line with the development roadmap Requirements 3+ years of experience in similar roles (DevOps, DataOps, or DBA), including hands-on experience building custom data and platform products for reliability and accessibilityBackground in Linux administration and core DevOps toolingExpertise in Kubernetes (K8S), Git, and Vault for secrets managementProficiency in distributed storage administration, including Ceph, along with object storesCompetency in CloudNativePG (CNPG), MongoDB, Neo4j, or etcdFamiliarity with data platform tools such as Trino, Apache Airflow, or Apache NiFiExcellent command of written and spoken English (B2+ level) Nice to have Skills in CI/CD pipelines, Prometheus, and GrafanaUnderstanding of Data Lakehouse architecture on on-premises, hybrid, and/or cloud infrastructureKnowledge of MinIO (S3 compatible) and Apache IcebergExperience with PostgreSQL, Elasticsearch, and RedisFamiliarity with Apache Spark and Apache KafkaCapability to use Terraform and/or Ansible We offer We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersDiscounts in local language schools, including online courses for the Kazakh languageWe cover it all:Participation in the Employee Stock Purchase PlanMonetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceBenefits package (sports activities, a variety of stores and services)Housing support program: preferential mortgage access via Otbasy Bank partnership EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.