Sr Engineering Manager, Kubernetes Operator
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Job Location:
Monthly Salary:
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Aerospike is thereal-time databaseformission-critical use cases and workloads includingmachine learning generative and agentic powers millions of transactions per second with millisecond latency at a fraction of the total cost of ownership compared to other databases.
Global leaders including Adobe Airtel Barclays Criteo DBS Bank Experian Grab HDFC Bank PayPal Sony Interactive Entertainment The Trade Desk and Wayfair rely on Aerospike for customer 360 fraud detection real-time bidding profile stores recommendation engines and other use cases.
Job Summary
Were looking for an experienced Senior Engineering Manager to lead the development of Aerospikes platform management and automation systems the layer that enables customers to deploy operate and observe Aerospike clusters seamlessly across on-premises and cloud environments.
You will manage a talented group of engineers building our Kubernetes Operator and observability frameworks that provide deployment automation lifecycle management monitoring and performance visibility for Aerospikes distributed database platform.
This role combines strategic direction people leadership and hands-on technical depth. Youll partner with Product SRE and Core Database teams as well as business stakeholders across global locations to drive alignment set measurable goals and ensure predictable delivery against company OKRs.
This is a hybrid are expected to work from the Bangalore office 2-3 times a week.
Key Responsibilities
- Lead mentor and grow multiple engineering streams responsible for cluster lifecycle automation monitoring and management tooling.
- Own end-to-end architecture and delivery of Aerospikes Kubernetes Operator and related orchestration frameworks.
- Define technical roadmaps success metrics and best practices for reliability scalability and security.
- Drive engineering excellence through design reviews code quality standards and continuous improvement.
- Collaborate cross-functionally with Product Management SRE and Cloud teams to deliver a consistent operational experience.
- Stay hands-on with architecture and code when needed guiding technical problem-solving and unblockers.
- Champion observability automation and resilience as core principles in every release.
Required skills & experience
- Must have 10 years of total experience including 3 years in engineering management or technical leadership roles.
- Proven success leading teams that build Kubernetes Operators controllers or related platform automation tools (mandatory).
- Strong programming and design skills in Golang (preferred) or Java/Python.
- Deep understanding of Kubernetes internals and lifecycle management of stateful workloads.
- Practical exposure to observability stacks Prometheus Grafana Loki Tempo OpenTelemetry Datadog or similar.
- Experience designing or operating distributed systems and large-scale backend platforms.
- Familiarity with cloud-native architectures and infrastructure-as-code tools (Terraform Ansible).
Required leadership skills :
- Excellent communication stakeholder management and team-mentoring abilities.
- Hands-on experience driving engineering OKRs tracking deliverables and reporting progress to business stakeholders and leadership.
- Proven ability to collaborate with international teams and cross-functional stakeholders (Product SRE Cloud and Executive teams) to ensure alignment and successful execution.
Bonus Skills
- Experience with distributed NoSQL databases (Aerospike Cassandra Redis MongoDB).
- Prior exposure to SRE or DevOps environments with a focus on reliability and performance.
- Understanding of performance profiling system telemetry or developer-platform design.
Required Experience:
Manager
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
Aerospike is the real-time database for AI, trusted in the world's most demanding environments. Consistent, available, and cost-efficient at any scale.
