{"id":4261417,"url":"https://alion.io/job/knowl-engineering-manager","title":"Engineering Manager","company":{"id":22079,"name":"Knowl","domain":"knowl.ai","url":"https://alion.io/company/knowl-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-11-13T15:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-13T15:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a hands-on Engineering Manager to lead the design, development, and delivery of scalable AI-powered enterprise platforms and lending technology solutions. The ideal candidate combines strong software engineering fundamentals, system architecture expertise, and proven experience leading engineering teams. We particularly value candidates with an understanding of lending systems, credit workflows, or financial services technology. This is a high-ownership role where you will work closely with the leadership, product, and AI teams to build reliable, secure, and scalable products.\n\nThe candidate will have responsibilities across the following functions: \n\nTechnical Architecture and Development: \nLead the architecture and development of scalable, modular, and high-performance enterprise applications.\nDesign robust backend services, REST APIs, microservices, and event-driven systems.\nBuild configurable, API-first platforms supporting complex business workflows.\nEnsure high standards of software design, code quality, scalability, security, and maintainability.\nEvaluate technologies and make pragmatic architectural decisions.\n\nEngineering Leadership and Execution: \nLead, mentor, and manage a team of software engineers.\nDrive engineering planning, sprint execution, technical reviews, and timely product delivery.\nRemain hands-on with architecture, critical code reviews, and complex technical challenges.\nEstablish strong engineering practices covering testing, CI/CD, documentation, and release management.\nTake end-to-end ownership of engineering deliverables, quality, and production readiness.\n\nAI Platform Engineering: \nCollaborate with AI/ML teams to integrate AI models and intelligent services into enterprise applications.\nDevelop reliable APIs and orchestration mechanisms for AI-powered workflows.\nDesign systems supporting asynchronous processing, data pipelines, and automation.\nEnsure AI services meet enterprise requirements for reliability, performance, scalability, and monitoring.\nWork on optimising system latency, resource utilisation, and operational efficiency.\n\nLending Technology and Enterprise Integrations: \nContribute to the development of lending technology platforms and workflow-driven enterprise applications.\nWork on systems involving loan origination, customer onboarding, credit assessment, document processing, and approval workflows.\nDesign secure integrations with enterprise applications, third-party services, and financial data providers.\nBuild flexible and configurable solutions that support different institutional and business requirements.\nEnsure appropriate security, access controls, auditability, and data protection.\n\nPlatform Reliability and Engineering Excellence: \nOwn technical quality, performance, availability, and maintainability of production systems.\nDrive improvements in automated testing, deployment pipelines, monitoring, and incident management.\nIdentify and resolve architectural bottlenecks and technical debt.\nBuild engineering processes that improve developer productivity and release predictability.\n\nRequirements: \n6-8 years of software engineering experience, including at least 2 years in a technical leadership or engineering management capacity.\nStrong hands-on experience in backend development using Python, Java, Node.js/TypeScript, or equivalent technologies.\nStrong knowledge of system design, microservices, REST APIs, distributed systems, and asynchronous processing.\nExperience with relational databases such as PostgreSQL/MySQL, caching, and messaging systems.\nExperience building and scaling enterprise SaaS platforms or complex business applications.\nWorking knowledge of cloud platforms (AWS, Azure, or GCP), Docker, Kubernetes, and CI/CD.\nExperience leading engineering teams and delivering production-grade software.\nStrong analytical, problem-solving, communication, and stakeholder-management skills.\n\nPreferred Qualifications: \nExperience in lending technology, fintech, banking, or BFSI software products.\nUnderstanding of Loan Origination Systems (LOS), Loan Management Systems (LMS), credit underwriting, or lending workflows.\nFamiliarity with loan application processing, KYC, credit bureaus, financial data integration, and approval processes.\nExperience working with AI/ML-powered applications, LLM integrations, or intelligent automation platforms.\nExposure to configurable workflow engines, business rules engines, or enterprise integration frameworks.\nUnderstanding of enterprise security, regulatory compliance, and data privacy requirements in financial services.\nExperience working in a product-based startup or fast-growing technology organisation.\n\nGood to Have:\nHands-on technical leader: Someone who can design systems, review code, and solve difficult engineering problems—not just manage timelines.\nStrong architectural thinking: Ability to build reusable, extensible systems rather than one-off solutions.\nProduct mindset: Understands the business problem and makes sound engineering trade-offs.\nOwnership and execution: Comfortable taking responsibility from architecture through production delivery.\nTeam builder: Can mentor engineers, establish engineering discipline, and create a culture of accountability.\nLending domain awareness: Understands the complexity of financial workflows and can translate business requirements into robust software solutions.\nSkills\nAWS, Azure, Distributed Systems, Docker, GCP, Java, Kubernetes, Microservices, Node.js, Python, REST APIs, TypeScript","description_format":"text","description_chars":5521,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Conversational AI","Call Center Services"],"lifecycle":[{"event":"open","at":"2026-11-13T15:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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