Job Title

Location: Pune, MHExperience: 7–10 yearsAbout DViO OneDViO One is a modern, AI-driven marketing data and intelligence platform built for enterprise marketing teams. The product aggregates data from multiple sources, processes it through scalable pipelines, and delivers insights through intuitive interfaces and AI-powered capabilities. We operate at the intersection of marketing analytics, artificial intelligence, and enterprise data infrastructure — building for speed today and enterprise-grade scale tomorrow.The RoleWe're looking for an Engineering Manager to own the technical direction of DViO One. You will lead the engineering team, shape architecture, ship product, drive security and compliance, and enable the team to move fast while maintaining high standards of quality. This is a senior, high-ownership role that requires a rare combination of technical depth, leadership maturity, excellent communication, and a refined sense of product craftsmanship.What You'll DoTechnical OwnershipDefine and maintain the technical direction of the platformOwn and evolve the current stack where needed:Backend: FastAPI, MySQL, Redis, Temporal, AirbyteData & AI: Snowflake, AWS BedrockFrontend: React SPA with Tailwind, shadcn/ui, RechartsInfrastructure: Docker on EC2, AWS RDS, Cloudflare PagesEvaluate emerging technologies and decide when architectural evolution is requiredDesign architectures that balance long-term scalability with the practical needs of a fast-moving environmentMove fluidly between high-level architectural decisions and low-level implementationTranslating Vision into ProductBreak down complex product requirements into clear engineering milestonesDefine implementation strategies across data pipelines, backend services, APIs, and frontendStay hands-on — prototype features, debug complex issues, review critical code when it mattersTeam Leadership & Operational StabilityLead and grow a team of software engineersEstablish engineering practices — code review standards, deployment workflows, testing strategies, documentationOnboard new developers quickly, ensure knowledge transfer, and maintain team stability and moraleMentor engineers and build a culture of ownership and technical excellenceSecurity & ComplianceApply a security-first mindset across authentication, data pipelines, access controls, and infrastructurePrepare the platform for enterprise certifications — SOC 2, ISO 27001, GDPR, HIPAA, and other relevant standardsBuild a culture of security awareness across engineering — data protection, privacy, and system resilience in every architectural decisionAI/LLM & Data EngineeringApply AI/LLMs meaningfully within the product — marketing data analysis, insight generation, workflow enhancementEvaluate trade-offs between custom AI solutions and external model providersIntegrate AI tools (code generation, testing, documentation, security analysis) into the development process while maintaining reliability and correctnessWork confidently with data engineering fundamentals — warehousing, ETL/ELT pipelines, distributed processing, analytics infrastructureEngineering Fundamentals in the AI EraMaintain strong foundational knowledge of programming principles, software architecture, and system designCritically evaluate AI-generated code for correctness, efficiency, security, and architectural alignmentEnsure the system remains clean, maintainable, and well-understood as AI tools accelerate deliveryProblem Solving & DebuggingDiagnose complex issues across distributed systems — identify root causes, trace failures across services, infrastructure, and integrationsRemain calm and analytical during difficult debugging scenariosDesign custom solutions where off-the-shelf tools fall shortPrevent future issues through better system design, stronger testing practices, and disciplined engineering decisionsProduct Craftsmanship and /"Taste/"Maintain high standards for code quality, system clarity, and architectural eleganceShape the product experience — simplicity, clarity, and intuitive workflows across the interfaceEvolve the platform into a polished enterprise product, not a collection of loosely connected featuresCommunicationWork closely with leadership, product teams, and occasionally enterprise customers including senior marketing executives and CMOsExplain complex technical systems in clear, structured, non-technical language — architecture, timelines, risks, product capabilitiesOperate with professionalism, clarity of thought, and polished communication in every stakeholder conversationStartup Speed with Enterprise DisciplineOperate with agility — rapid iteration, experimentation, pragmatic decisionsEvolve the platform toward enterprise-grade reliability and operational maturityMake thoughtful trade-offs between shipping speed and long-term maintainabilityWhat We're Looking ForExperience7–10 years of software engineering experience, with at least 2–3 years in a team leadership, engineering manager, or tech lead roleHands-on track record of building and scaling production systems in a fast-moving environmentExperience working with small engineering teams (3–8 developers)Technical SkillsMust-haveStrong backend proficiency — Python / FastAPI preferredSolid understanding of cloud infrastructure (AWS), Docker, and modern deployment practicesWorking knowledge of data engineering — warehousing, ETL/ELT pipelines, workflow orchestrationHands-on experience integrating AI/LLMs (AWS Bedrock, OpenAI, or similar) into production productsFamiliarity with frontend development in React (not expected to own, but expected to review and guide)Good to haveExposure to SOC 2, ISO 27001, GDPR, or HIPAA compliance preparationExperience with Snowflake, Temporal, Airbyte, RedisPrior experience at a data, AI, or SaaS startupLeadership & MindsetProven ability to lead, mentor, and retain small engineering teamsStrong product sense and /"taste/" — cares about code quality, UX polish, and architectural eleganceFounder-style ownership — treats the product as their ownComfortable operating in ambiguity and making pragmatic trade-offsCalm, analytical, and methodical under pressureCommunicationExcellent spoken and written EnglishComfortable in senior leadership conversations and occasional client-facing interactionsWhy DViO OneWork on a real AI + enterprise data product with live customersOwn the engineering function end-to-end — architecture, team, product, and standardsShape the next phase of a platform at a genuine inflection pointSmall team, high autonomy, meaningful scope