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Summary Of Position he Cloud Data Ops team is hiring a Senior Cloud DBA & Data Platform Engineer who brings deep, hands-on DBA expertise across SQL Server, Postgres (w/Timescale) and Oracle, combined with strong cloud-native skills in GCP and AWS. This role is responsible for performance tuning, cloud platform operations, automation, and ensuring the reliability of mission-critical relational and time-series data systems across multiple clouds. Duties And Responsibilities Core DBA Responsibilities (SQL Server Postgres Oracle TimescaleDB) Perform advanced DBA duties including installation, configuration, patching, backup/restore, HA/DR, and security hardening across SQL Server, Postgres, Oracle, and TimescaleDB. Diagnose and tune performance using execution plans, indexing strategies, wait event analysis, and I/O profiling. Optimize relational and time series workloads, including hypertables, chunk management, retention policies, and compression strategies in TimescaleDB. Implement schema changes, index strategies, and query rewrites to improve workload efficiency. Support database lifecycle management across on prem, GCVE, and cloud native platforms Partner with application, analytics, and engineering teams to optimize database driven workloads. Cloud Native Data Platform Operations (GCP & AWS) Operate and optimize workloads on CloudSQL, BigQuery, AWS RDS/Aurora, and GCVE hosted SQL Server. Apply DBA fundamentals to cloud native services, ensuring performance, reliability, and cost efficiency. Support migrations from on prem/VM based SQL Server, Oracle, and Postgres to managed cloud services. Implement observability across cloud platforms (Cloud Monitoring, CloudWatch, logs, metrics, traces). Participate in multi cloud operational readiness, incident response, and performance engineering. Linux & Systems Engineering Manage and troubleshoot Linux based Postgres, TimescaleDB, and Oracle environments. Perform system level tuning (CPU, memory, I/O, kernel parameters) to support database performance. Support containerized and orchestrated environments (Docker, EKS, GKE) where applicable. Automation & Cloud Data Ops Engineering Automate DBA and operational tasks using bash, PowerShell, or Python. Contribute to CI/CD workflows and infrastructure automation (Terraform preferred). Improve reliability through scripting, monitoring, alerting, and self service tooling. Participate in on call rotations for critical data systems. Required Qualifications Strong, hands on DBA experience with SQL Server, Postgres, Oracle, and TimescaleDB. Deep proficiency in SQL, performance tuning, indexing, execution plan analysis, and workload optimization. Experience operating databases in GCP (CloudSQL, BigQuery, GCE/GCVE) and/or AWS (RDS/Aurora). Solid Linux skills, including bash scripting and system level troubleshooting. Familiarity with observability and monitoring tools (pg_stat views, Query Store, Cloud Monitoring, CloudWatch, Zabbix, Datadog, etc.). Ability to support mission critical production systems in a multi cloud environment. Strong understanding of DBA fundamentals applied in cloud native and time series contexts. Preferred Qualifications Experience with Terraform, Azure DevOps (ADO), or other CI/CD/IaC tooling. Exposure to EKS, GKE, or other Kubernetes platforms. Familiarity with Docker and containerized database operations. Experience with OCI or Oracle Cloud services. Background in cloud migration, modernization, or hybrid cloud architectures Compensation Range The compensation range for this position is $140,000–$180,000 and represents the range that Granite reasonably and in good faith expects to pay for this role at the time of posting. This position is eligible for bonus. Final compensation will be determined based on several factors, including but not limited to experience, education, job related skills, and overall alignment with the role.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.