Senior Software Developer – Platform Architecture and Engineering

4 days ago

Nagpur, Maharashtra, India beBeePython Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are currently seeking a highly skilled Python Platform Engineer to lead our team.

Responsibilities:

  • Platform Architecture and Engineering
    • Create a unified component library/SDK for data pipelines: ingestion, parsing/extraction, validation, enrichment, publishing.
    • Develop standards for Apache Beam pipeline design and Databricks job configuration; standardize packaging, versioning, CI/CD, and documentation.
    • Maintain pluggable interfaces so multiple teams can switch extractors (Regex/Language Models), OCR providers, and EMR publishers without rewriting code.
    • Determine repository strategy - shared/child repos for each use case
    • Performance Optimization and Reliability
      • Oversee end-to-end profiling and tuning: cProfile/py-spy/line_profiler, memory (tracemalloc), 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, ThreadPool/ProcessPool for CPU-bound, batching, rate limiting, retries, etc.
      • Implement robust Language Model 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 Service Level Objectives/alerts for throughput, latency, error rates; set up Dead Letter Queues and recovery patterns.
      • Team Enablement
        • Mentor developers, lead design reviews, codify best practices, write clear documentation and examples.
        • Collaborate with Machine Learning engineers on the future Language Model/Service Layer path (evaluation harness, safety/PII, cost/perf).

Required Skills and Qualifications:

  • 7+ years of experience in Python with strong expertise in performance and concurrency (asyncio, concurrent.futures, multiprocessing), profiling and memory optimization.
  • Observability expertise: Elastic APM instrumentation and dashboarding; Splunk for logs and correlation; OpenTelemetry familiarity.
  • Prior experience with implementing Language Model based solutions and supporting 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 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: OCR (Tesseract, AWS Textract, Azure Form Recognizer), PDF parsing, text normalization.
  • Language Model/Service Layer integration experience (e.g., OpenAI/Azure AI, local Service Layers), prompt/eval frameworks, PII redaction/guardrails.
  • Cloud and tooling: AWS/Azure/GCP, Dataflow/Flink, Terraform, Docker; cost/performance optimization on Databricks.
  • Security/compliance mindset (HIPAA), secrets management, least-privilege access.

Benefits:

  • Ongoing opportunities for professional growth and development.
  • A dynamic and supportive work environment.
  • Competitive compensation package.

How to Apply:

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