Manager, Cloud Infrastructure Software Engineering - R0000183
New Relic
Manager, Cloud Infrastructure Software Engineering - R0000183
Job Description
About This Role
The Manager, Cloud Infrastructure Software Engineering role at New Relic involves leading a high-impact team focused on observability platforms for AI-first systems. Responsibilities include people management, technical leadership, end-to-end feature delivery, and driving engineering excellence in cloud-native environments. This hands-on position suits experienced leaders passionate about mentoring engineers while contributing to code and architecture in Bangalore, India.
What You'll Do
- Lead and mentor a team of software engineers through 1:1s, feedback, and growth plans
- Own end-to-end delivery of features and services from planning to production
- Drive technical design and architecture decisions for the team
- Review code and ensure engineering best practices, performance, and reliability
- Collaborate with Product to define scope, roadmap, and priorities
- Run Agile ceremonies including sprint planning, standups, and retrospectives
- Identify and remove delivery blockers while managing risks and communicating with stakeholders
What We're Looking For
- 10–12 years of total software development experience
- At least 3–5 years in a Tech Lead, Lead Engineer, or Engineering Manager role
- Strong hands-on background in Go lang, Node.js/TypeScript, Python, Kafka
- Solid understanding of system design, microservices, Kubernetes, Docker
- Experience with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines
- Comfortable working with distributed teams across time zones
Bonus Points If You Have
- AI and Agentic Workflows Understanding
- Model Context Protocol (MCP) architectural knowledge
- Practical experience utilizing AI agents and LLMs for automated analysis
Key Skills
Locations
- Bangalore, India, United States
Salary
Estimated Salary Rangemedium confidence
45,000,000 - 75,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Go for high-performance microservices, instrumentation, concurrency, performance tuningintermediate
- System design concepts (high-level and low-level)intermediate
- Extreme-scale Cellular Architecture for data ingestion and stream processingintermediate
- Operational experience with Kafkaintermediate
- Multi-cloud architecture and security (AWS, GCP, Azure, OCI)intermediate
- Expert Terraform for cloud management, familiarity with Atlantisintermediate
- Cloud networking, load balancers, CDNs, security mechanismsintermediate
- Kubernetes and Docker for cloud-native microservicesintermediate
- CI/CD pipelines with Jenkins and ArgoCD-like toolsintermediate
- RBAC, custom authorization, authentication domainsintermediate
Required Qualifications
- 10–12 years of total software development experience (experience)
- At least 3–5 years in a Tech Lead, Lead Engineer, or Engineering Manager role (experience)
- Strong hands-on background in Go lang, Node.js/TypeScript, Python, Kafka (experience)
- Solid understanding of system design, microservices, Kubernetes, Docker (experience)
- Experience with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines (experience)
- Comfortable working with distributed teams across time zones (experience)
Preferred Qualifications
- AI and Agentic Workflows Understanding (experience)
- Model Context Protocol (MCP) architectural knowledge (experience)
- Practical experience utilizing AI agents and LLMs for automated analysis (experience)
Responsibilities
- Lead and mentor a team of software engineers through 1:1s, feedback, and growth plans
- Own end-to-end delivery of features and services from planning to production
- Drive technical design and architecture decisions for the team
- Review code and ensure engineering best practices, performance, and reliability
- Collaborate with Product to define scope, roadmap, and priorities
- Run Agile ceremonies including sprint planning, standups, and retrospectives
- Identify and remove delivery blockers while managing risks and communicating with stakeholders
Tags & Categories
Manager, Cloud Infrastructure Software Engineering - R0000183
New Relic
Manager, Cloud Infrastructure Software Engineering - R0000183
Job Description
About This Role
The Manager, Cloud Infrastructure Software Engineering role at New Relic involves leading a high-impact team focused on observability platforms for AI-first systems. Responsibilities include people management, technical leadership, end-to-end feature delivery, and driving engineering excellence in cloud-native environments. This hands-on position suits experienced leaders passionate about mentoring engineers while contributing to code and architecture in Bangalore, India.
What You'll Do
- Lead and mentor a team of software engineers through 1:1s, feedback, and growth plans
- Own end-to-end delivery of features and services from planning to production
- Drive technical design and architecture decisions for the team
- Review code and ensure engineering best practices, performance, and reliability
- Collaborate with Product to define scope, roadmap, and priorities
- Run Agile ceremonies including sprint planning, standups, and retrospectives
- Identify and remove delivery blockers while managing risks and communicating with stakeholders
What We're Looking For
- 10–12 years of total software development experience
- At least 3–5 years in a Tech Lead, Lead Engineer, or Engineering Manager role
- Strong hands-on background in Go lang, Node.js/TypeScript, Python, Kafka
- Solid understanding of system design, microservices, Kubernetes, Docker
- Experience with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines
- Comfortable working with distributed teams across time zones
Bonus Points If You Have
- AI and Agentic Workflows Understanding
- Model Context Protocol (MCP) architectural knowledge
- Practical experience utilizing AI agents and LLMs for automated analysis
Key Skills
Locations
- Bangalore, India, United States
Salary
Estimated Salary Rangemedium confidence
45,000,000 - 75,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Go for high-performance microservices, instrumentation, concurrency, performance tuningintermediate
- System design concepts (high-level and low-level)intermediate
- Extreme-scale Cellular Architecture for data ingestion and stream processingintermediate
- Operational experience with Kafkaintermediate
- Multi-cloud architecture and security (AWS, GCP, Azure, OCI)intermediate
- Expert Terraform for cloud management, familiarity with Atlantisintermediate
- Cloud networking, load balancers, CDNs, security mechanismsintermediate
- Kubernetes and Docker for cloud-native microservicesintermediate
- CI/CD pipelines with Jenkins and ArgoCD-like toolsintermediate
- RBAC, custom authorization, authentication domainsintermediate
Required Qualifications
- 10–12 years of total software development experience (experience)
- At least 3–5 years in a Tech Lead, Lead Engineer, or Engineering Manager role (experience)
- Strong hands-on background in Go lang, Node.js/TypeScript, Python, Kafka (experience)
- Solid understanding of system design, microservices, Kubernetes, Docker (experience)
- Experience with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines (experience)
- Comfortable working with distributed teams across time zones (experience)
Preferred Qualifications
- AI and Agentic Workflows Understanding (experience)
- Model Context Protocol (MCP) architectural knowledge (experience)
- Practical experience utilizing AI agents and LLMs for automated analysis (experience)
Responsibilities
- Lead and mentor a team of software engineers through 1:1s, feedback, and growth plans
- Own end-to-end delivery of features and services from planning to production
- Drive technical design and architecture decisions for the team
- Review code and ensure engineering best practices, performance, and reliability
- Collaborate with Product to define scope, roadmap, and priorities
- Run Agile ceremonies including sprint planning, standups, and retrospectives
- Identify and remove delivery blockers while managing risks and communicating with stakeholders
Tags & Categories