Senior Data Platform Engineer

Job not on LinkedIn

🔥 49 minutes ago

🌐 Kazakhstan, India – Remote

🇰🇿 Kazakhstan – Remote 🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 the production streaming platform on Kubernetes • Manage cluster lifecycle, topics, partitioning, retention strategy, capacity planning, and upgrades • Build and maintain change-data-capture and connector pipelines between operational databases, the streaming layer, and analytical stores • Own schema governance, including schema registry, compatibility rules, and versioning • Develop custom connectors, transformations, and stream-processing logic in Java or Go • Build self-service onboarding for topics, schemas, and access through infrastructure as code • Automate the platform with Terraform and GitOps • Instrument the pipeline with metrics, lag and throughput monitoring, alerting, and dashboards • Enforce security and multi-tenant isolation across the streaming layer • Guarantee ordering, idempotency, exactly-once delivery where required, replay, and disaster recovery • Partner with backend and SRE teams on event schema design, producer patterns, and failure modes • Participate in on-call for the platform • Mentor engineers on streaming architecture and contribute through design reviews and documentation

🎯 Requirements

• 10+ years in software, data, or platform engineering, including deep hands-on ownership of a production event-streaming platform • Expert-level Apache Kafka (or Confluent Platform/Cloud), including administration, tuning, troubleshooting, and capacity management at production scale • Strong Kafka Connect and CDC experience, including Debezium, JDBC, and custom connector or transformation development • Proven schema-registry practice and compatibility management across many independent producers and consumers • Solid programming ability in Java, Python, or Go • Strong SQL and relational database knowledge, including replication and CDC mechanics • Kubernetes fluency, including deploying, operating, and debugging stateful workloads • Infrastructure as code discipline using Terraform or equivalent and CI/CD pipeline ownership • Clear written English for design documents, runbooks, and asynchronous review across global time zones • Apache Kafka or Confluent, Kafka Connect, Schema Registry, and stream processing • CDC tooling such as Debezium or equivalent, connector development, and pipelines into analytical stores • Kubernetes, Docker, and Helm-packaged workloads in production • Terraform, CI/CD, and GitOps practice • PostgreSQL at scale, plus at least one cloud data warehouse or search store • AWS or GCP, including networking, IAM, and managed Kubernetes • mTLS, OIDC/SSO, RBAC, and Prometheus/Grafana monitoring • Bachelor’s degree in Computer Science & Engineering or related field or 10 years related experience

🏖️ 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 • Remote work arrangement