MX Build Technologies India Private Limited
Senior Software Engineer II - DBOps
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Senior Database Engineer
Job Summary
This role sits on the Application Data Platform & Database Operations team , collaborating across product and the technology organizations driving business outcomes.This role exists to aggressively drive our legacy cloud migration, database optimization & modernization, and infrastructure automation initiatives within AWS.You will serve as the definitive expert for Amazon Aurora, owning database administration, workload optimization, and cost-efficiency strategies.You will uniquely blend core DBA rigor with modern AI and Analytical skills in the post cloud migration efforts.Your work will directly transform organizational capabilities, delivering automated database infrastructure, 99.99% system availability, and intelligent, AI-ready data solutions.
Job Responsibilities
The Database team currently owns and maintains our on-premises PostgreSQL databases, ensuring absolute operational stability and reliability.
Driven by a strategic decision to scale, we are migrating these core workloads from on-premises to AWS cloud-native architecture.
This hire will serve as the technical anchor for database administration, optimization, and modernization using Amazon Aurora.
The ideal candidate will heavily leverage infrastructure automation and AI/analytical skills to maximize platform efficiency and support intelligent features.
Success in this role directly accelerates our data center exit, lowering infrastructure overhead, minimizing risk, and enabling business growth.
Core Responsibilities
Own and execute AWS Database Optimization and Modernization efforts (specifically migrating to and scaling Amazon Aurora) to drive infrastructure modernization, cost reduction, and near-zero downtime.
Analyze database performance bottlenecks and query execution plans using AWS Performance Insights, CloudWatch, and native PostgreSQL/MySQL tools to inform scaling strategies and proactive infrastructure tuning.
Build and maintain robust database backup, disaster recovery (DR), security compliance, and data replication systems/processes across multi-AZ environments.
Lead database migration initiatives across on-premises legacy environments and AWS & cloud-native best practices.
Focus on
Production Amazon Aurora Administration: Advanced expertise in managing Aurora storage subsystems, configuring Serverless v2 scaling boundaries, and optimizing Aurora-specific global databases.
Core DBA Competencies: Deep knowledge of database internals, transaction isolation levels, vacuuming/maintenance routines, and query execution plan manipulation
Cross-Functional Technical Collaboration: Proven ability to translate complex database performance metrics and structural limitations into actionable design patterns for application developers and AI engineers.
Infrastructure Automation: Proficiency in scripting automated database administrative tasks and provisioning secure AWS database clusters using Terraform or CloudFormation.
Enterprise Cloud Migration: Hands-on experience mapping, converting, and syncing legacy database schemas into optimized Amazon Aurora configurations using AWS DMS.
Basic Qualifications (Must-Have)
Bachelor’s degree in Engineering or equivalent professional experience.
6+ years of experience working as a core Database Administrator (DBA) or Database Engineer, with a focus on relational database engines (PostgreSQL or MySQL).
3+ years of experience designing, provisioning, and managing production database workloads specifically within Amazon Aurora (PostgreSQL/MySQL) and standard AWS RDS environments.
Demonstrated experience executing database migrations from on-premises environments to AWS using tools such as AWS Database Migration Service (DMS) or native schema conversion tools.
2+ years of experience utilizing Infrastructure as Code (IaC) tools—specifically Terraform or AWS CloudFormation—to automate the provisioning, scaling, and configuration of Amazon Aurora clusters and database networking infrastructure.
Preferred Qualifications
6+ years of experience in database engineering, featuring deep expertise in advanced query optimization, query tuning hints, and managing large-scale (multi-terabyte) database footprints.
Advanced proficiency in AWS CLI to deeply customize Aurora performance tracking, alongside expert-level SQL development skills.
Experience implementing or optimizing native AWS machine learning integrations (such as Amazon Aurora Machine Learning or SageMaker) to execute predictive analytics directly inside database schemas.
Prior experience maintaining 99.99% uptime during zero-downtime blue/green database deployments was standard operating procedure.
Experience leading cross-functional initiatives to train application development teams on writing optimized SQL queries, preventing connection pooling issues, and adopting proper cloud-database design patterns.
Compensation
The expected earnings for this role could be comprised of a base salary and other forms of cash compensation, such as bonus or commissions as applicable.
This pay range is just one component of MX’s total rewards package. MX takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location, skillset, peer compensation.
**Please note applicants applying for this position must have the legal right to work in India without the need for sponsorship. We are unable to provide work sponsorship for this role, and candidates should be able to verify their eligibility to work in the country independently. Proof of eligibility to work in India will be required as part of the hiring process.
Work Environment
In this role, a significant aspect of the job involves working in the office for a standard 40-hour workweek. We believe that the collaborative nature of our work and the face-to-face interactions among team members are essential for fostering a dynamic and productive work environment. Being present in the office enables seamless communication, facilitates quick decision-making, and encourages spontaneous collaboration that contributes to the overall success of our projects. We value the synergy that comes from having our team members physically together, allowing for immediate problem-solving, idea exchange, and team building.
