Manager, Software Engineering

New Relic · Bangalore, India · Engineering

Posted 2026-09-21

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About the Role

We are seeking a seasoned Manager, Software Engineering with 12+ years of experience to lead our Database Engineering and Cloud Infrastructure team. In this role, you will lead a team of high-performing engineers responsible for architecting, scaling, and optimizing multi-cloud relational and in-memory database platforms. You will bridge technical execution, engineering leadership, and strategic infrastructure planning across AWS and Azure environments.

Key Responsibilities

Technical Leadership & Architecture

Lead the architectural design and operations of enterprise-grade, multi-cloud relational databases across AWS (RDS PostgreSQL, MySQL, Aurora) and Azure (Database for PostgreSQL/MySQL, Azure SQL Managed Instance).

Drive high-availability architecture strategies, including Multi-AZ deployments, auto-failover groups, read replica scaling, and cross-region disaster recovery (DR).

Oversee zero-downtime operations, including major-version engine upgrades, schema migrations, and blue/green deployment strategies.

In-Memory Infrastructure & Open-Source Strategy

Manage scale operations for in-memory datastores (AWS ElastiCache, Azure Cache for Redis), focusing on cluster mode operations, eviction policies, and persistence tuning.

Spearhead open-source caching initiatives and migration pathways from Redis to Valkey (e.g., AWS ElastiCache for Valkey) using zero-downtime tools like RedisShake to ensure open-source license compliance and optimize cloud spend.

Automation, Infrastructure as Code (IaC) & DevOps

Enforce an IaC-first engineering culture using Terraform, OpenTofu, Bicep, or CloudFormation to eliminate manual configuration and console drift.

Drive automated database provisioning, drift detection, and continuous integration/continuous deployment (CI/CD) pipelines for database schemas using tools like Flyway or Liquibase.

FinOps & Performance Optimization

Partner with Finance and DevOps to drive FinOps practices: conduct cost allocation, rightsizing exercises, and reserved instance / savings plan management.

Evaluate and implement optimal architectural tradeoffs between serverless and provisioned computing models (e.g., Aurora Serverless v2, Azure SQL Serverless).

Monitor performance using AWS Performance Insights and Azure Diagnostics to optimize query performance, indexing, and resource usage.

Team Management & Operational Excellence

Manage, mentor, and grow a team of senior database and cloud infrastructure engineers.

Set operational standards, service level objectives (SLOs), and incident management practices for database availability, security, and scalability.

Required Qualifications

Experience: 12+ years of total software engineering / infrastructure experience, with at least 3–5 years in an engineering management or technical leadership role focused on cloud databases.

Multi-Cloud Mastery: Deep hands-on experience operating managed relational databases in both AWS and Azure environments at enterprise scale.

In-Memory & Valkey Ecosystem: Proven track record managing Redis clusters and navigating Redis-to-Valkey migration strategies to reduce operational overhead and licensing costs.

Automation & IaC: Mastery of Infrastructure as Code principles (Terraform, OpenTofu, Bicep, or CloudFormation) and database migration tooling (Flyway, Liquibase).

FinOps Expertise: Demonstrated ability to optimize multi-cloud infrastructure costs, manage serverless vs. provisioned workloads, and deliver measurable cloud cost savings (20–30%+).

Operations & Resiliency: Direct experience implementing automated backups, zero-downtime blue/green deployments, major version upgrades, and multi-region disaster recovery.

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