MongoDB

2 days ago

Staff Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Provide technical leadership for the reliability architecture of a new platform enabling customers to build AI applications with MongoDB. Own operational foundations at scale across regions and multi-cloud providers, including capacity planning, incident response, and SLO discipline. Lead and mentor the SRE team responsible for Kubernetes fleet operations, networking, observability/alerting, and tenant isolation, while participating in a 24/7 on-call rotation.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Own the platform’s reliability architecture across regions and cloud providers.
•Set technical direction for platform operations including capacity planning, multi-cloud expansion, incident response, and SLO discipline.
•Collaborate with platform teams to provide guidance on operability, capacity, and best practices.
•Set operational standards for the team, including on-call quality, incident response, and SLO discipline.
•Mentor and technically develop the SRE team while participating in a 24/7 on-call rotation to resolve platform infrastructure issues.

Pay and Benefits

Perks:Parental LeaveFertility Assistance

Key Requirements

•10+ years operating distributed systems with deep Kubernetes expertise, including designing or evolving multi-cluster platforms.
•Proficiency in Python, Go, or a similar programming language.
•Ability to reason about workload isolation at the systems level (containers vs. virtual machines) for running untrusted code.
•Customer-focused mindset and preference for automation over manual processes.
•Familiarity with infrastructure primitives of at least one of AWS, GCP, or Azure, and ability to compare differences between them.

Experience:Distributed systemsCloudMulti-cloud

Skills:Technical leadershipMentoringCollaborationAutomation mindsetCustomer-focused

Languages:English

Tech Stack:PythonGoKubernetesAWSGCPAzureContainersVirtual machinesObservabilityAlertingSLOMulti-cluster platforms

Company Brief

MongoDB

Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn

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MongoDB

2 days ago

Staff Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Own the platform’s reliability architecture across regions and cloud providers.
•Set technical direction for platform operations including capacity planning, multi-cloud expansion, incident response, and SLO discipline.
•Collaborate with platform teams to provide guidance on operability, capacity, and best practices.
•Set operational standards for the team, including on-call quality, incident response, and SLO discipline.
•Mentor and technically develop the SRE team while participating in a 24/7 on-call rotation to resolve platform infrastructure issues.

Pay and Benefits

Perks:Parental LeaveFertility Assistance

Key Requirements

•10+ years operating distributed systems with deep Kubernetes expertise, including designing or evolving multi-cluster platforms.
•Proficiency in Python, Go, or a similar programming language.
•Ability to reason about workload isolation at the systems level (containers vs. virtual machines) for running untrusted code.
•Customer-focused mindset and preference for automation over manual processes.
•Familiarity with infrastructure primitives of at least one of AWS, GCP, or Azure, and ability to compare differences between them.

Experience:Distributed systemsCloudMulti-cloud

Skills:Technical leadershipMentoringCollaborationAutomation mindsetCustomer-focused

Languages:English

Tech Stack:PythonGoKubernetesAWSGCPAzureContainersVirtual machinesObservabilityAlertingSLOMulti-cluster platforms

Company Brief

MongoDB

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn