Senior Engineering Manager

This role is for one of our clients Company Name: ADOSX Tech Industry: Software Development Seniority level: Mid-Senior level Experience: 8+ yrs Location: Hyderabad, Telangana, India Job Type: Full-time We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. The Role As the first full-time technical leader at ADOSX, you will build the foundations that future teams inherit. You'll work directly with founders and the CTO to define the platform, engineering culture, and technical standards for an AI-native automotive operating system. On a four-person team, that means setting architecture and writing the load-bearing code. This is a hands-on leadership role—not a manager who delegates difficult problems. You own the parts of the system where mistakes are expensive or irreversible: - The data reconciliation engine that powers core workflows - The AI grounding layer that must never invent business numbers - The integrations that bring dealership data into the platform - Multi-tenant isolation, security, and auditability - The standards for AI-native software development You'll spend time inside dealerships, work closely with customers, and build systems grounded in operational reality—not assumptions. Over time, you'll help shape engineering culture, support technical hiring, and grow into broader leadership responsibilities as the team scales. What You'll Own Data Access & Integrations - Build lawful, reliable, and version-stable mechanisms to extract data from existing systems - Work with customers and upstream system owners to solve integration challenges - Handle heterogeneous schemas and data formats - Create configuration-driven onboarding instead of code-driven implementations The Reconciliation Engine - Design confidence-based reconciliation across multiple source systems - Detect confidently wrong matches—not just unmatched records - Own exception handling, auditing, and measurable accuracy The AI Grounding Layer - Build constrained-query systems over free-form generation - Implement RAG, trace enforcement, and explainable outputs - Ensure every business number is verifiable - Treat "I can't answer that" as a feature, not a failure Multi-Tenant Foundations - PostgreSQL Row-Level Security as the primary isolation mechanism - Cross-tenant leakage testing in CI - RBAC, audit trails, and data-protection foundations Event-Driven Architecture - Celery-based event flows - Canonical data models - Configurable integration patterns that keep onboarding a new dealer are a matter of configuration, not code AI-Native Engineering Practices - Define how the team uses AI coding agents - Establish review standards and guardrails for AI-generated code - Increase engineering leverage without compromising quality, correctness, or security Technical Leadership - Set conventions for code structure, API design, and testing - Support junior engineers in owning features end-to-end - Help shape engineering culture and future hiring practices What We're Looking For - Around 8 years of experience building production systems - Deep expertise in Python, Django, DRF, Celery, and PostgreSQL - Experience managing ORM migrations under changing schemas - Strong experience integrating messy external systems and reconciling data - Practical LLM and RAG experience, with healthy skepticism toward model outputs - PostgreSQL depth, including Row-Level Security, performance optimization, and multi-tenant patterns - Pragmatic thinking about scale—knowing when a modular monolith and simple queues are the right choices - Experience building with AI coding agents and establishing a team around them - The judgment to challenge unrealistic timelines, scope, or technical assumptions Nice to Have - Fintech-grade or data-heavy reconciliation systems - Enterprise or legacy system integrations - Familiarity with ISO 27001, DPDPA, or related security practices - Working knowledge of Next.js and React You'll Thrive Here If - You love ambiguity more than certainty - You prefer ownership over instructions - You think in systems, not tickets - You enjoy getting your hands dirty with customers - You learn by building rather than waiting - You use AI as leverage, not as a substitute for judgment - You want both the 0→1 and 1→100 journeys The Hard Truth Early-stage startups are hard. There will be ambiguity, changing priorities, and periods of intense execution because building from zero demands it. But you'll own products end-to-end, work directly with founders and customers, and likely learn more in two years than many engineers do in ten. If building the intelligence layer for Indian automotive retail excites you more than maintaining systems someone else designed, we'd love to build ADOSX together. About The Company ADOSX is building an AI-native operating system for automotive retail, combining agentic workflows, unified data, and real-time intelligence to help dealerships operate smarter and more profitably. Backed by strategic investors, we're redefining auto-tech from India. Must-have skills System Architecture, LLM Guardrail, Data Pipelines Good-to-have skills Stakeholder Management, Project Planning, Domain Translation