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Software Engineer Manager (Database Observability)

New Relic · Posted Nov 5

Cloud-based application performance monitoring, telemetry analytics, and intelligent observability services

Hyderabad, IndiaFull-timeHybridLead/Staff10+ years₹50.0L–₹80.0L yearly<25 applicants
SaaSCloudTech & DevOpsArtificial Intelligence & Machine LearningBig DataBusiness/Productivity SoftwareGrowth Stage
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About the role

New Relic builds an intelligent observability platform that gives customers real-time insight into their distributed systems and applications. Database Observability is a critical pillar of the platform strategy, covering lightweight database agents, high-throughput ingestion pipelines, recommendation engines, and autonomous DB AI agents. This role is an Engineering Manager (M3) leading a team of 6–8 senior and lead engineers, setting technical direction and partnering with Product and Design to deliver next-generation database observability products.

What you will do

  • Manage a full-stack engineering team (6–8 engineers) spanning backend systems, database telemetry, agent engineering, and UI workflows.
  • Own end-to-end delivery sprint planning, roadmap execution, system quality, and operational excellence for critical database ingestion and recommendation pipelines.
  • Guide the team in harnessing cutting-edge AI technologies including Agentic AI, MCP, and LLMs to evolve database observability from passive monitoring to automated, AI-driven diagnostics and remediation.
  • Drive architectural discussions around high-throughput, low-latency ingestion, streaming telemetry (Kafka), and database agent development, holding the team to high engineering excellence standards.
  • Partner closely with Product Management and Design to translate high-level vision into actionable, well-engineered execution plans..
  • Hire, mentor, and grow engineers at every level. Set clear expectations, manage performance equitably, and build a visible talent pipeline.
  • Build a strong DevOps culture where teams own what they ship ensuring robust monitoring, incident response, CI/CD automation, and high reliability.
  • Champion modern engineering workflows, including AI-assisted development tools (Claude Code, Cursor, Copilot) to accelerate delivery and spec-driven development.

Skills used in this role

What the employer is looking for

  • 10+ years of total software engineering experience with 2+ years directly managing engineering teams.
  • Proven track record of coaching, guiding, and retaining individual contributors ,enabling domain experts rather than directing them.
  • Deep technical background in backend and distributed systems (Go, Java, Python, or equivalent) with the ability to engage credibly in architecture discussions around high throughput, low latency, and data pipelines.
  • Foundational understanding of database engines (Relational and NoSQL) and the challenges of safely collecting performance metrics under heavy production loads.
  • Proven track record of delivering complex, multi-quarter technical initiatives on time with high quality, alongside experience managing team health, technical debt, and performance expectations.
  • Clear, direct, and transparent communication style effective at aligning senior engineers, cross-functional partners, and executive stakeholders.
  • Familiarity with modern practices including CI/CD, microservices, containerization (Docker, Kubernetes), and production observability.

Preferred qualifications

  • Background in Observability, Database Engineering, SRE, or Performance Tuning domains.
  • Exposure to Agentic AI, LLM application architecture, or Model Context Protocol (MCP).
  • Experience with real-time streaming architectures (Apache Kafka) and database collector/agent design.
  • Hands-on experience with OpenTelemetry (OTel) standards.
  • Active experience guiding teams through AI-assisted development practices (e.g., spec-driven development using Claude Code, Copilot, Cursor).
  • Track record of managing teams through rapid scaling or ground-up product launches.
  • Familiarity with Kafka, GraphQL, or distributed data systems
  • Exposure to AI-assisted development practices (spec-driven dev, Claude Code, Copilot)

Benefits and support

  • Mentorship
  • Learning resources
  • Flexible work hours
  • Remote work opportunities

About New Relic

New Relic is an intelligent observability company that provides a cloud-based platform for monitoring, debugging, and optimizing software applications and infrastructure. Its platform helps developers, engineers, and enterprise leaders track real-time telemetry data to reduce system downtime and accelerate incident resolution. Formerly a publicly traded company, New Relic was acquired by private equity firms Francisco Partners and TPG in late 2023.

Industry
SaaS
Company size
2500-5000 employees
Founded
2008
Location
San Francisco, California, USA
Funding stage
Private Equity-Backed

Funding

Private Equity-Backed · $6.88B raised

Francisco PartnersTPG Inc.BenchmarkInsight PartnersT. Rowe Price
  • 2023-11-09Private Equity Buyout$6.5B

Leadership

AW
Ashan Willy

Chief Executive Officer

AA
Ashish Agarwal

Chief Financial Officer

LN
Lauren Nemeth

Chief Revenue Officer

BE
Brian Emerson

Chief Product Officer

KW
Katrina Wong

Chief Marketing Officer

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