High-Powered Engineered Solutions Architect Lead

1 week ago

Ellore, Andhra Pradesh, India beBeeExpert Full time ₹ 13,15,356 - ₹ 2,01,15,190
Job Title: Lead Platform Engineer

 

 

  • Key Responsibilities:
  • Platform Architecture and Integration:
    • Design and implement a shared component library for pipelines.
    • Define patterns and templates for Apache Beam pipelines and Databricks jobs.
    • Standardize configuration, packaging, versioning, CI/CD, and documentation.
    • Create interfaces to enable multiple teams to swap extractors, OCR providers, and EMR publishers without code rewrites.
    • Develop a repository strategy for each use case.
  • Performance Optimization and Reliability:
    • Own end-to-end profiling and tuning using cProfile, py-spy, line_profiler, memory analysis, CPU vs I/O analysis.
    • Instrument services with Elastic APM and correlate traces/metrics with Splunk logs; build dashboards and runbooks.
    • Implement concurrency best practices: asyncio for I/O-bound tasks, ThreadPool/ProcessPool for CPU-bound tasks, batching, rate limiting, retries, etc.
    • Enforce provider TPM and concurrency caps, request queueing/token budgeting, and emit APM/Splunk metrics with alerts.
    • Establish service-level objectives (SLOs) and alert thresholds for throughput, latency, error rates; set up dead-letter queues (DLQs) and recovery patterns.
  • Team Enablement and Development:
    • Mentor developers, lead design reviews, codify best practices, write clear documentation and examples.
    • Partner with machine learning engineers on future LLM/SLM development.

 

Required Expertise:

  • 7+ years of Python experience with strong focus on performance and concurrency (asyncio, concurrent.futures, multiprocessing), profiling, and memory tuning.
  • Observability expertise: Elastic APM instrumentation and dashboarding, Splunk for logs and correlation, OpenTelemetry familiarity.
  • Experience implementing large-scale data pipelines with Apache Beam and/or Spark, including hands-on Databricks experience (Jobs, Delta Lake, cluster tuning).
  • Document processing skills: OCR (Tesseract, AWS Textract, Azure Form Recognizer), PDF parsing, text normalization.
  • LLM/SLM integration experience, prompt/eval frameworks, PII redaction/guardrails.
  • Cloud and tooling expertise: AWS/Azure/GCP, Dataflow/Flink, Terraform, Docker, cost/performance tuning on Databricks.
  • Security and compliance mindset, secrets management, least-privilege access.

 

Benefits Package:

  • Competitive salary and benefits.
  • Talent development opportunities with quarterly promotions, company-sponsored education and certifications.
  • Cutting-edge technology projects.
  • Flexible work arrangements and employee engagement initiatives.
  • Annual health check-ups and insurance coverage.

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