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Sr. Manager, Software Dev, OpenSearch

Amazon is hiring a Sr. Manager, Software Dev, OpenSearch in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Amazon OpenSearch is a fully managed and Serverless service that makes it easy to deploy, operate, and scale OpenSearch clusters for log analytics, full-text search, application monitoring, and more. As part of AWS, we serve hundreds of thousands of customers who rely on OpenSearch to power mission-critical search and observability workloads at scale.

The Amazon OpenSearch Core Foundation team owns the foundational indexing and search systems powering both OpenSearch Managed Service and Serverless offerings. We are building next-generation systems that support multiple data formats, diverse execution engines, and federated queries across heterogeneous data sources. As a Sr SDM, you will lead the team responsible for developing OpenSearch's next-generation indexing, storage, and metadata — delivering best-in-class price-performance for search and analytics workloads. You will drive the technical vision and execution for systems that serve both managed and Serverless customers at scale, shaping how millions of users index, store, and query their data.

Key job responsibilities
- Lead and grow a multi-team organization of senior engineers and engineering managers focused on OpenSearch Core Foundation systems, fostering a culture of technical excellence, ownership, and customer obsession.
- Define and execute technical roadmaps for OpenSearch Core Foundation systems, balancing near-term customer needs with long-term architectural investments.
- Drive architectural decisions for large-scale distributed iCore Foundation systems, including index and storage build pipelines, consistency models, and cross-region index replication.
- Partner with product and business stakeholders to translate customer requirements into engineering priorities, ensuring the team delivers features that have measurable customer impact.
- Establish operational excellence standards for the OpenSearch Core Foundation systems, including availability, latency, and durability targets, and lead the team in meeting and exceeding those targets.
- Recruit, develop, and retain top engineering talent; build a diverse, high-performing organization with a strong pipeline of future leaders.
- Collaborate across OpenSearch and AWS with peer SDMs and Directors to align on shared infrastructure, resolve cross-team dependencies, and contribute to org-wide engineering strategy.
- Communicate complex technical strategies clearly to senior leadership.

Basic qualifications

- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment

Preferred qualifications

- Experience partnering with product and program management teams
- Experience designing and developing large scale, high-traffic applications
- Experience in developing data infrastructure, search or similar large-scale data management systems

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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How we rate this

Sr. Manager, Software Dev, OpenSearch at Amazon rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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