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Senior Python Engineer

2 weeks ago

Nellore, Andhra Pradesh, India beBeeEngineering Full time ₹ 1,20,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking a seasoned Python engineer to lead our platform development. The ideal candidate will have hands-on experience with Apache Beam and Databricks.

  • Create a shared component library for data pipelines, including ingestion, parsing, extraction, validation, enrichment, and publishing.
  • Design standardized templates for Apache Beam pipelines and Databricks jobs, covering configuration, packaging, versioning, CI/CD, and documentation.
  • Develop pluggable interfaces for multiple teams to swap extractors, OCR providers, and EMR publishers without code rewrites.
  • Establish a repository strategy for shared and child repositories per use case.
  • Implement end-to-end profiling and tuning using cProfile, py-spy, line_profiler, memory analysis, CPU vs I/O analysis, and Elastic APM instrumentation.
  • Correlate traces and metrics with Splunk logs, build dashboards, and create runbooks.
  • Apply concurrency best practices: asyncio for I/O-bound tasks, ThreadPool/ProcessPool for CPU-bound tasks, batching, rate limiting, retries, and more.
  • Implement LLM API rate limiting and governance, enforcing provider TPM and concurrency caps, request queueing/token budgeting, and emitting APM/Splunk metrics (throttle rate, queue depth, cost per job) with alerts.
  • Set up SLOs/alerts for throughput, latency, error rates; establish DLQs and recovery patterns.
  • Mentor developers, lead design reviews, codify best practices, write clear documentation, and examples.
  • Collaborate with ML engineers on the future LLM/SLM path (evaluation harness, safety/PII, cost/perf).
Requirements

The successful candidate will possess:

  • 7+ years of Python experience with strong performance and concurrency expertise (asyncio, concurrent.futures, multiprocessing), as well as proficiency in profiling and memory tuning.
  • Observability skills: Elastic APM instrumentation and dashboarding; Splunk for logs and correlation; OpenTelemetry familiarity.
  • Hands-on experience with LLM-based solutions and supporting them in production.
  • API engineering skills for high-throughput integrations (REST, OAuth2), resilience patterns, and secure handling of sensitive data.
  • Strong architecture/design skills: clean interfaces, packaging shared libraries, versioning, CI/CD (GitHub Actions/Azure DevOps), testing.
  • 3+ years of experience building 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 (e.g., OpenAI/Azure AI, local SLMs), prompt/eval frameworks, PII redaction/guardrails.
  • Cloud and tooling expertise: AWS/Azure/GCP, Dataflow/Flink, Terraform, Docker; cost/performance tuning on Databricks.
  • A security/compliance mindset (HIPAA), secrets management, least-privilege access.
What We Offer

We provide:

  • Competitive salary and benefits package.
  • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.
  • Opportunity to work with cutting-edge technologies.
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.
  • Annual health check-ups.
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.
About Us

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We welcome applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.