Engineering Manager II - Whatsapp

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager II - WhatsApp based in India.

This role offers the opportunity to lead the engineering organization behind a rapidly scaling WhatsApp communications platform serving millions of businesses globally. You will own the technical direction of a critical ecosystem spanning onboarding, WABA management, template lifecycles, high-throughput messaging, and usage metering. The position combines strategic engineering leadership with hands-on architectural ownership across highly distributed, event-driven systems. You will guide a team of 8+ engineers while solving complex challenges around reliability, latency, concurrency, data integrity, and tenant isolation. Working closely with product, infrastructure, security, finance, legal, and external platform partners, you will turn ambitious product goals into resilient systems built for the next order of magnitude. You will also help evolve observability, compliance, billing, and operational practices while introducing AI-assisted engineering workflows responsibly. This is a high-impact leadership opportunity for a pragmatic technical leader who thrives in a fast-moving, high-scale environment where engineering excellence directly influences customer and business outcomes.

Accountabilities: Own the high-level architecture and scaling strategy for core WhatsApp and communications platform components, including provider integrations, messaging abstractions, and shared APIs supporting billions of events.

Lead the end-to-end evolution of usage metering and billing capabilities across communication channels, including rating, reserve and commit lifecycles, idempotency, reconciliation, and auditability.

Drive the development of configurable, rules-based trust and compliance systems capable of adapting to evolving regulatory, carrier, and platform requirements.

Lead initiatives that improve system reliability, latency, throughput, and resilience across high-concurrency APIs and time-sensitive workflows.

Work hands-on with technologies including NestJS, Firestore, MongoDB, PostgreSQL, Redis, queuing systems, data warehousing platforms, and service-mesh-based microservices.

Strengthen observability and operational excellence through monitoring, alerting, SLOs, incident response, and root-cause analysis, including monitoring critical financial and data integrity invariants.

Leverage LLMs and AI-assisted development tools for coding, refactoring, testing, and debugging while establishing appropriate guardrails to improve reliability and minimize hallucination risks.

Partner with product, infrastructure, security, finance, legal, and external stakeholders to ensure data integrity, access control, regulatory compliance, and operational reliability.

Mentor Engineering Manager I leaders and senior engineers, develop the leadership pipeline, support succession planning, and maintain a high technical hiring bar.

Participate in architecture and design reviews, technical deep dives, and on-call rotations while fostering a culture of ownership, accountability, and continuous improvement.

Requirements

9+ years of backend software engineering experience, including at least 2 years in an engineering leadership role.

Proven experience designing and operating fault-tolerant distributed systems at significant scale, ideally involving billions of hits or events.

Deep expertise in distributed systems, event-driven architectures, asynchronous processing, and high-concurrency application design.

Demonstrated experience building systems where transactional correctness is critical, such as metering, billing, payments, ledgers, or comparable domains.

Strong understanding of idempotency, exactly-once processing concepts, reconciliation, transactional integrity, and auditability.

Proven ability to improve availability, performance, reliability, and scalability of production systems under significant load.

Strong experience with both relational and NoSQL data models, particularly for complex transactional and high-volume workloads.

Experience designing policy-driven or rules-based systems that can adapt to changing external requirements without extensive code changes.

Familiarity with monitoring, SLOs, alerting, incident management, and root-cause analysis in production environments.

Understanding of AI-assisted development and techniques for mitigating LLM hallucinations, including code constraints, test scaffolding, embeddings, and context injection.

Excellent communication and stakeholder-management skills, with the ability to collaborate effectively with technical and non-technical teams, including Finance, Legal, and external partners.

Pragmatic, hands-on leadership style with the ability to balance long-term architectural vision with iterative delivery and business priorities.

Preferred experience:

Experience building usage-based billing or metering engines handling millions of transactional events per hour.

Exposure to telecom trust and compliance frameworks such as 10DLC, toll-free verification, TCPA/TSR, DLT, carrier filtering, or number portability.

Experience developing provider-agnostic integration layers across multiple third-party communication providers.

Experience with AI development tools and communication APIs such as Twilio or Plivo.

Contributions to open-source projects, internal engineering platforms, technical tools, or engineering publications.

Benefits

Opportunity to lead a high-impact engineering team responsible for a rapidly scaling communications platform.

Significant technical ownership over distributed systems operating at very high transaction and event volumes.

Global, remote-first working environment.

Collaboration with product, infrastructure, security, finance, legal, and external technology partners.

Strong opportunities for technical and leadership development, including mentoring and building future engineering leaders.

Exposure to large-scale distributed systems, communication APIs, AI-assisted engineering, billing infrastructure, and compliance technology.

Opportunity to shape engineering architecture, development practices, observability, and operational excellence at scale.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1