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EverOps

Senior DevOps Data Engineer

EverOps

Senior DevOps Data Engineer at EverOps focusing on data platform infrastructure design and operations. Collaborating with teams to ensure data systems are reliable and efficient.

Posted 4/16/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureCassandraDynamoDBGoGoogle Cloud PlatformGrafanaJenkinsKafkaKubernetesLinuxMongoDBMySQLNoSQLPostgresPrometheusPythonRustSplunkTerraformVault

About the role

Key responsibilities & impact
  • Design, implement, and validate disaster recovery architectures for relational, NoSQL, and managed data services across AWS, Azure, or GCP
  • Plan and execute database migration cutovers including blue-green database swaps, read-replica promotion, and zero-downtime schema migration workflows
  • Architect replication topologies (cross-region, cross-account, active-passive, active-active) and validate RPO/RTO targets through runbook-driven DR drills
  • Build and maintain Infrastructure as Code for data platform provisioning (RDS, Aurora, DynamoDB, ElastiCache, Redshift, managed Kafka/MSK, etc.) using Terraform, Atlantis, and/or CloudFormation
  • Design backup, snapshot, and point-in-time recovery strategies with automated validation and alerting
  • Develop automation tooling for data platform operations: failover orchestration, health checks, capacity scaling, and credential rotation
  • Implement observability for data infrastructure—replication lag monitoring, connection pool health, query performance baselines, and storage growth forecasting
  • Support production workload migrations including data tier cutovers with rollback plans and data integrity verification
  • Contribute to multi-tenant Kubernetes platform operations where data services intersect (e.g., External Secrets Operator for DB credentials, sidecar patterns for connection pooling)
  • Participate in regular customer and internal EverOps scrums, providing data architecture guidance and operational status
  • Document runbooks, architecture decision records (ADRs), and operational playbooks for data platform operations

Requirements

What you’ll need
  • 5+ years of professional experience as a DevOps Engineer, Data Platform Engineer, Database Reliability Engineer, or Site Reliability Engineer with a data infrastructure focus
  • Deep hands-on experience designing and operating disaster recovery architectures for production databases (failover, replication, backup/restore, cross-region DR)
  • Production experience planning and executing database cutover workflows—blue-green database swaps, read-replica promotions, DMS-based migrations, and zero-downtime schema changes
  • Strong experience with AWS managed data services: RDS/Aurora (Multi-AZ, Global Database, cross-region replicas), DynamoDB (Global Tables, PITR, on-demand backup), ElastiCache, Redshift, and/or MSK
  • Hands-on experience with Infrastructure as Code (Terraform + Atlantis and/or CloudFormation) for data platform provisioning and lifecycle management
  • Hands-on experience and deep understanding of Linux
  • Strong professional experience with at least one of: Python, Golang, Bash, or Rust for automation and tooling
  • Production experience with Amazon EKS including understanding of how data workloads intersect with Kubernetes (StatefulSets, PVCs, External Secrets Operator, connection pooling)
  • Experience with HashiCorp Vault for secrets management, particularly database credential rotation and dynamic secrets
  • Understanding of GitOps workflows, repository structures, and governance patterns
  • Experience with CI/CD tools like Jenkins, GitHub Actions, ArgoCD, etc.
  • Experience with monitoring tools such as Datadog, Splunk, ELK, or Prometheus/Grafana—specifically for data infrastructure observability (replication lag, connection health, query latency)
  • Relational database experience with PostgreSQL or MySQL including operational knowledge of replication, failover, and performance tuning
  • NoSQL experience with at least one of: DynamoDB, Cassandra, or MongoDB including understanding of consistency models and partition strategies

Benefits

Comp & perks
  • 100% remote workplace – We’ve been remote since Day 1!
  • Unlimited Paid Time Off
  • Equity – If you display ownership of the work you’re doing you’ll become a true owner of the company
  • 401K with company contribution
  • Company sponsored healthcare
  • Competitive compensation
  • Opportunities to accelerate professional growth with access to training and certification programs

ATS Keywords

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Hard Skills & Tools
disaster recovery architecturedatabase migrationInfrastructure as CodeTerraformAWS RDSKubernetesPythonLinuxCI/CDNoSQL
Soft Skills
communicationcollaborationproblem-solvingdocumentationcustomer engagementoperational guidance