7 days ago
Gurgaon, IndiaStaff+
Responsibilities
- Own the architecture of Python systems across multiple teams and define the technical roadmap.
- Write, review, and ship production code while leading test-driven development, profiling, and AI-first delivery.
- Set, publish, and enforce engineering standards for API design, data, reliability, security, observability, and testing.
- Review architecture decisions, challenge assumptions, and document trade-offs across teams.
- Decide with Platform Engineering when to use AWS Lambda versus Kubernetes and own the resulting cost, capacity, and reliability outcomes.
- Lead responses to serious production incidents and performance problems through root-cause resolution.
- Drive migrations, framework upgrades, deprecations, and large-scale changes through completion.
- Define the models, SDKs, agentic frameworks, Claude Code practices, and evaluation and release processes used for AI development.
- Partner with product, engineering, and business leaders across regions to translate business goals into technical plans.
- Set hiring standards, develop interview materials, calibrate interviewers, and provide screening criteria to recruiters.
- Mentor senior engineers and build a technical leadership community through reviews, talks, and knowledge sharing.
Requirements
- Bachelor's degree or equivalent practical experience.
- At least 11 years of professional software development experience in Python, including 5 years of architecture across multiple systems.
- At least 3 years owning engineering standards adopted beyond the immediate team and mentoring senior engineers.
- Experience working with globally distributed teams and engineering, product, and business stakeholders across regions.
- Expertise in typed Python, asyncio, the GIL, concurrency, CPU and memory diagnostics, and Python architecture standards.
- Experience designing REST APIs with OpenAPI, JSON, Protocol Buffers, versioning, idempotency, rate limiting, and API evolution.
- Fluency in PostgreSQL, SQLAlchemy, Alembic, DynamoDB, MongoDB, and Redis, including schema design, migrations, and workload-based datastore selection.
- Experience designing event-driven systems using SQS, Kafka, Celery, or Arq, with retries, dead-letter queues, idempotent consumers, outbox patterns, and saga patterns.
- Experience running production services on AWS or GCP using Lambda and Kubernetes, defining infrastructure with Terraform or AWS CDK, and implementing canary or blue/green deployments.
- Experience with pytest, Testcontainers, Pact, Playwright, OpenTelemetry, Datadog, and CloudWatch, including testing, observability, SLOs, and performance analysis.
- Experience applying OWASP Top 10, API Security Top 10, OAuth 2.0, OIDC, mTLS, workload identity, Okta, Keycloak, and Cognito.
- Experience designing multi-service systems, writing architecture decision records, leading deprecations and migrations, and setting engineering practices and policies.
- Experience with Claude Code, large language model concepts, Anthropic and OpenAI SDKs, tool calling, evaluations, agentic services, guardrails, and human review.
- Strong communication, cross-cultural collaboration, initiative, technical influence, hiring-bar definition, and technical mentorship skills.
- Preferred: B.Tech or B.E. in Computer Science, Information Technology, or a related field; widely used open-source library maintenance; multi-region and disaster-recovery architecture; SOC 2 or ISO 27001 controls; multi-agent systems and frameworks such as LangGraph, Google ADK, or Anthropic Agent SDK; engineering-productivity measurement programs; and TypeScript.
Benefits
- Opportunity to work with passionate, inspired people on WPP Open at global scale.
- Challenging and stimulating work with the opportunity to influence large-scale projects.
- Hybrid work arrangement with teams generally in the office around four days per week.
- Accommodations or flexibility can be discussed with the hiring team.
- Equal opportunity workplace committed to inclusion, respect, and belonging.
Tech Stack
Amazon DynamoDBApache KafkaAWSDatadogDjangoFastAPIGitGoogle Cloud PlatformKubernetesMongoDBPostgreSQLpytestPythonRedisTerraformTypeScript
Categories
About WPP
WPP is a public advertising and marketing services group that provides creative, media, data, and public relations solutions to global brands. It operates agency networks including Ogilvy, VML/GroupM, Grey, and AKQA, generating revenue from agency fees and media investment management. Founded in 1971 and headquartered in London, it serves clients across 100+ markets worldwide.