Senior Data Platform Engineer – Kafka, PostgreSQL

🔥 19 hours ago

🇰🇿 Kazakhstan – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

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Mirantis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 Description

• Design, deploy, and operate highly available PostgreSQL topologies using CloudNativePG on Kubernetes and Patroni-style topologies on bare metal • Design, deploy, and operate distributed Apache Kafka clusters using Strimzi • Write custom enterprise-grade open-source Kafka clients, standalone connector services, and utility libraries, preferably in Go • Build integrations connecting PostgreSQL authentication and row-level security policies with Active Directory, LDAP, and OIDC identity providers • Scale high-throughput CDC pipelines using Debezium and Kafka Connect • Implement resilient architectures preserving data integrity between databases and topics without dual-write risk • Design and operate cross-region failover and disaster-recovery orchestration for PostgreSQL and Kafka • Define replication topologies, split-brain prevention mechanisms, and RPO/RTO targets for region or cluster loss • Optimize PostgreSQL for heavy ingestion and zero-downtime operations • Tune WAL, logical replication streams, connection pooling with PgBouncer, CSI storage volumes, and CNI network paths • Maintain declarative infrastructure-as-code using Terraform and ArgoCD • Create self-service workflows for provisioning databases, topics, schemas, and ACLs • Implement multi-tenant isolation using database-level RLS, CNI network policies, mTLS, and Kafka topic-level RBAC • Own the event-streaming, transactional database, and custom connectivity backbone for the k0rdent-ai platform

🎯 Requirements

• 10+ years in systems, software, data, or platform engineering • Track record of owning large-scale, business-critical data infrastructure • Go (Golang) or similar engineering skills; ability to write clean, concurrent systems code and custom client libraries • 5+ years managing native PostgreSQL • Deep knowledge of PostgreSQL internals, including WAL streams, logical replication, publications/subscriptions, and connection architectures • Hands-on experience running PostgreSQL on Kubernetes via a mature Postgres operator; CloudNativePG preferred or equivalent • Strong experience managing Apache Kafka at scale on Kubernetes via a declarative operator; Strimzi preferred or equivalent • Proven experience tuning Kafka Connect and Debezium pipelines • Experience writing or contributing to open-source database connectors, Kafka client libraries, or integration frameworks • Hands-on experience integrating distributed systems with enterprise IAM/SSO providers such as Active Directory, LDAP, Okta, Azure AD, or OIDC • Strong grasp of Kubernetes primitives, including Pod lifecycles, Operators, CSI storage layers, and CNI overlay routing • Production experience in AWS or GCP • Bachelor's degree in Computer Science & Engineering or a related field, or 10+ years of equivalent related experience • Nice to have: cross-region disaster recovery and failover orchestration experience • Nice to have: open-source contributions to Kafka connectors, PostgreSQL operators, or Go-based database libraries • Nice to have: schema governance, Apache Flink or Kafka Streams, SOC 2/ISO 27001 familiarity, Redis, and MongoDB

🏖️ Benefits

• Professional development and training • Attend conferences and working groups • Company outings, happy hours, hackathons, and tech talks • Competitive compensation package with a strong benefits plan • Opportunity to work with passionate, talented colleagues and Fortune 500 and Global 2000 customers • Open-source innovation environment • Continuous growth environment