Principal Software Developer

3 days ago

Amrāvati, Maharashtra, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking an experienced Lead Python Engineer to lead the development of a shared component library for data pipelines.

The successful candidate will have hands-on experience with Apache Beam and Databricks, as well as strong expertise in performance and concurrency.

Key Responsibilities
  • Design and build a shared component library/SDK for ingestion, parsing, extraction, validation, enrichment, and publishing.
  • Define patterns/templates for Apache Beam pipelines and Databricks jobs; standardize configuration, packaging, versioning, CI/CD, and documentation.
  • Implement robust LLM API rate limiting/governance: enforce provider TPM and concurrency caps, request queueing/token budgeting, and emit APM/Splunk metrics (throttle rate, queue depth, cost per job) with alerts.
  • Establish SLOs/alerts for throughput, latency, error rates; set up DLQs and recovery patterns.
Requirements
  • 7+ years Python experience with strong depth in 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.
  • Must have implemented LLM based solutions and supported them in production.
  • API engineering for high-throughput integrations (REST, OAuth2), resilience patterns, and secure handling of sensitive data.
  • Strong architecture/design skills: clean interfaces, packaging shared libs, versioning, CI/CD (GitHub Actions/Azure DevOps), testing.
  • 3+ years building large-scale data pipelines with Apache Beam and/or Spark, including hands-on Databricks experience (Jobs, Delta Lake, cluster tuning).
  • Document processing: 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: AWS/Azure/GCP, Dataflow/Flink, Terraform, Docker; cost/performance tuning on Databricks.
  • Security/compliance mindset (HIPAA), secrets management, least-privilege access.
What We Offer
  • 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.
Work Environment

Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.

If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.

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