
Data Operations
6 days ago
Our team is seeking a leader in data operations and management to join us in Hyderabad. As a Senior Manager, you will be responsible for advancing the observability, monitoring, and reliability practices across our Enterprise Data & Analytics Platforms landscape.
Key Responsibilities:- We are looking for someone with strong expertise in designing and implementing comprehensive observability frameworks to monitor performance, reliability, and availability of EDAA data platforms and services.
- The ideal candidate will have experience defining and tracking key Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Key Performance Indicators (KPIs) across critical platform components and data pipelines.
- You will lead the integration of monitoring, logging, tracing, and alerting tools to enable real-time insights and root cause analysis.
- As part of our team, you will collaborate with platform engineering, Site Reliability Engineering (SRE), and product teams to enhance observability coverage and automate incident responses.
- The successful candidate will drive the adoption of best practices in telemetry collection, dashboards, and visualization for operational excellence.
- You will oversee incident management processes and post-mortem practices to ensure continuous reliability improvements.
- Furthermore, you will provide leadership in tool evaluation and deployment across observability and performance management platforms.
- The ideal candidate will partner with security, compliance, and data governance teams to ensure visibility into data usage, lineage, and policy adherence.
- Finally, you will lead operational reviews and reporting to highlight system health, risks, and opportunities for optimization.
- We are looking for someone with 11+ years of experience in platform engineering, SRE, DevOps, or observability roles.
- The ideal candidate will be proficient with Extract, Transform, Load (ETL) Pipelines.
- Strong expertise with observability tools and platforms, such as Datadog, Grafana, Prometheus, ELK, Open Telemetry, and Splunk, is required.
- Deep understanding of monitoring distributed data platforms, data pipelines, and cloud-native architectures, including AWS, GCP, and Azure, is necessary.
- Experience setting and managing SLIs/SLOs/SLAs in high-availability environments is a must.
- Strong background in incident response, performance tuning, and root cause analysis is essential.
- Proven ability to lead cross-functional collaboration and align technical work with business outcomes is required.
- Bachelor's degree in computer science, engineering, or a related field; advanced degree or certifications are preferred.
We are committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to sex, race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws.
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