Rimes Technologies

Financial Services

DevOps&DatabaseEngineer

$1200–1800k ~AI est. Manila, Manila, Philippines
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“DevOps & Database Engineer at Rimes Technologies. Skills: DevOps, Database Optimization, Azure, SQL Server. Manage Azure cloud infrastructure. Optimize Azure cloud infrastructure”

Industry & Context.

Financial Services
Problems you'll solve

Troubleshooting

Eligibility Requirements

2x-3x a week onsite work

What They're Looking For.

Must Have

3-4 years of experience in Azure Cloud, 3-4 years of experience in Azure DevOps, 3-4 years of experience in SQL Server/Azure SQL, Experience with CI/CD pipelines, Experience with infrastructure automation, Experience with IaC tools, Solid expertise in database performance tuning, Solid expertise in query optimization, Solid expertise in indexing, Solid expertise in partitioning, Experience supporting production systems, Proficiency in scripting for automation, Working knowledge of .NET (C#)

Nice to Have

Working knowledge of application deployment is a plus

What You'll Do.

Manage Azure cloud infrastructure

Optimize Azure cloud infrastructure

Ensure high availability

Design CI/CD pipelines

Implement CI/CD pipelines

Maintain CI/CD pipelines

Support application releases

Implement Infrastructure as Code

Monitor production issues

Troubleshoot production issues

Resolve production issues

Standardize deployment processes

Standardize operational processes

Perform database performance tuning

Troubleshoot databases

Implement partitioning

Design data distribution

Implement data distribution

Optimize data pipelines

Conduct capacity planning

Ensure database high availability

Ensure database resilience

Ensure disaster recovery readiness

Monitor database health

Resolve database anomalies

Maintain data integrity

Validate data processes

How You'll Work.

Team & Collaboration

Partner with development teams; Collaborate with consultants; Collaborate with engineers; Collaborate with product teams; Collaborate on optimizing data pipelines; Partner with internal teams; Partner with external data providers

Full Job Description

About Rimes Rimes provides enterprise data management solutions to the global investment community. Driven by our passion for solving the most complex data problems, we provide our clients with investment intelligence that powers more than US$75 trillion in assets under management annually. The world’s leading institutional investors, asset managers and service providers rely on Rimes to help them make better investment decisions using accurate information and industry-leading technology. As a DevOps & Database Engineer at Rimes, you will play a dual role in managing cloud infrastructure and optimizing database performance that underpins our global financial data platform. You will be equally responsible for building reliable Azure-based DevOps pipelines and ensuring the scalability, performance, and integrity of our financial data systems. You’ll collaborate closely with consultants, engineers, and product teams to drive automation, improve system reliability, and deliver high-performing data services at scale. Azure Devops Responsibilities Manage and optimize Azure cloud infrastructure, ensuring high availability, scalability, and security. Design, implement, and maintain CI/CD pipelines in Azure DevOps to enable efficient and reliable deployments. Partner with development teams to support application releases, environment management, and post-release monitoring. Implement Infrastructure as Code (IaC) using Bicep, PowerShell, and Azure CLI. Monitor, troubleshoot, and resolve production issues across infrastructure and applications. Drive automation and standardization of deployment and operational processes. Database Optimization Responsibilities Perform database performance tuning, query optimization, and troubleshooting in SQL Server and Azure SQL environments. Design and implement indexing, partitioning, and data distribution strategies to improve performance and scalability. Collaborate on optimizing data pipelines and workflows for large-scale financial datas

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