{"id":198185,"url":"https://alion.io/job/audatex-fz-llc-lead-software-engineer","title":"Lead Software Engineer","company":{"id":99637,"name":"Solera","domain":"solera.com","url":"https://alion.io/company/solera","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":93,"open_postings":76,"ghost_share":0,"stale_share":0.079,"repost_share":0,"time_to_fill_p50_days":106,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","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":{"min_usd":23000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":69},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Copilot","optional":false},{"name":"Dependency Injection","optional":false},{"name":"Flutter","optional":false},{"name":"Git","optional":false},{"name":"GraphQL","optional":false},{"name":"Jetpack Compose","optional":false},{"name":"Kotlin","optional":false},{"name":"Kotlin Coroutines","optional":false},{"name":"Kotlin Multiplatform","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MAUI","optional":false},{"name":"MVI","optional":false},{"name":"MVVM","optional":false},{"name":"OWASP","optional":false},{"name":"React Native","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Swift","optional":false},{"name":"TestFlight","optional":false},{"name":"Agile","optional":true},{"name":"Dart","optional":true},{"name":"Edge AI","optional":true},{"name":"JavaScript","optional":true},{"name":"Offline-First","optional":true},{"name":"React.js","optional":true},{"name":"Scrum","optional":true},{"name":"SLI/SLO/SLA","optional":true}],"status":"live","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-22T01:50:20Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":57},"description":"Lead Mobile Software Engineer (P4)\nWho We Are\nSolera is a global leader in data and software services, transforming every touchpoint of the vehicle lifecycle into a connected digital experience. Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our teams work on mission-critical platforms that demand reliability, scalability, and thoughtful evolution of complex systems.\nJOB SUMMARY\nWe’re looking for a hands-on Lead Mobile Software Engineer (P4) who will help design, build, modernize, and deliver enterprise-grade mobile applications across iOS and Android. This role is focused on building reliable, scalable, secure, and high-performing mobile experiences while applying AI-driven development practices to improve engineering velocity, product quality, and team effectiveness.\nThis role is ideal for a senior technologist who:\nLeads meaningful mobile features and workstreams across discovery, design, implementation, launch, and continuous improvement\nDesigns and builds cross-platform mobile solutions spanning iOS, Android, and shared mobile components\nApplies AI-driven development practices, AI-assisted engineering tools, and modern mobile workflows to improve delivery speed and product quality\nMakes sound technical decisions that balance native platform quality, cross-platform reuse, performance, security, maintainability, and delivery needs\nPartners effectively with product, design, architecture, backend, security, QA, DevOps/SRE, and business stakeholders to deliver mobile outcomes\nMentors engineers through code review, implementation guidance, mobile best practices, and hands-on technical support\nYou will operate with strong ownership, lead mobile workstreams with limited direction, help shape implementation approaches, support cross-team alignment, and be known as someone who ships high-quality mobile software, unblocks teammates, and drives execution.\nWHAT YOU’LL DO\nBuild, Ship, and Own Mobile Applications\nWrite production-quality mobile code regularly across iOS, Android, shared components, and mobile integration layers\nOwn and deliver mobile features, platform improvements, and system enhancements end-to-end\nContribute to modernization of legacy mobile applications by helping move toward modular, maintainable, testable, and scalable mobile architectures\nHelp design and evolve mobile foundations, including app architecture, shared components, design systems, offline capabilities, authentication flows, telemetry, and release infrastructure\nTranslate product and user requirements into reliable, intuitive, and performant mobile experiences\nIdentify mobile technical risks early, including app performance, crash rates, app store constraints, OS fragmentation, security, privacy, offline behavior, and API reliability\nLead assigned project workstreams, including technical discovery, solution design, delivery planning, execution tracking, launch readiness, release coordination, and post-launch follow-through\n\nAI-Driven Mobile Development & Intelligent Experiences\nApply AI-driven development practices for mobile engineering, including AI-assisted design, coding, refactoring, test generation, debugging, documentation, and code review workflows\nHelp design and implement intelligent mobile experiences that responsibly leverage LLMs, AI services, on-device intelligence, contextual assistance, automation, and personalization where appropriate\nIntegrate mobile applications with AI-enabled backend services, APIs, orchestration layers, and data sources\nEvaluate tradeoffs for on-device, edge, or cloud-based intelligence based on latency, privacy, cost, reliability, and user experience\nFollow and help improve guardrails for AI-assisted mobile engineering, including generated-code review standards, testing expectations, security review, privacy controls, and quality gates\nSupport validation strategies for AI-powered mobile features, including grounding, structured outputs, user confirmation, fallback states, and telemetry-driven evaluation\nHelp implement monitoring and feedback loops for AI-enabled mobile behavior in production\nEnsure AI-enabled mobile capabilities meet security, privacy, compliance, accessibility, and user trust requirements\nMobile Technical Leadership & Architecture\nContribute to mobile architecture standards through hands-on implementation\nGuide implementation decisions across native iOS, native Android, cross-platform frameworks, shared components, backend integration, data synchronization, security, and observability\nMake thoughtful tradeoffs between native platform quality, cross-platform reuse, delivery speed, performance, correctness, and maintainability\nAct as a technical escalation point for assigned mobile areas, including performance, memory, battery usage, offline behavior, crash stability, OS compatibility, release quality, and integration reliability\nInfluence technical direction within the team and across related mobile workstreams\nProvide technical leadership for assigned projects by coordinating architecture input, engineering execution, dependency management, risk mitigation, mobile release planning, and cross-team alignment\nCommunicate clearly with product owners, UX/design, engineering leaders, backend teams, security, DevOps/SRE, QA, support, and business stakeholders to keep delivery aligned with business outcomes\nAI-Assisted Mobile Engineering & Developer Productivity\nUse AI-powered development tools such as GitHub Copilot, ChatGPT, Claude, and mobile-specific automation to accelerate high-quality delivery\nFollow and promote best practices for safe, high-quality AI-assisted mobile coding\nUse AI tools for mobile solution design, architecture analysis, refactoring, test generation, debugging, system comprehension, documentation, and release readiness\nImprove developer productivity through reusable mobile components, shared architecture patterns, CI/CD automation, test automation, build optimization, and platform tooling\nHelp the team adopt modern mobile workflows that improve velocity while maintaining engineering rigor, security, accessibility, and release quality\n\nMentorship & Team Elevation\nMentor engineers through pairing, code reviews, architecture discussions, and implementation support\nHelp mid-level and senior engineers strengthen mobile engineering practices and ownership\nCoach teammates on modern mobile architecture, cross-platform development, AI-aware engineering practices, quality engineering, observability, and secure development\nPromote a culture of continuous learning, ownership, customer empathy, and technical excellence\nLead by example with clear communication, accountability, collaboration, and hands-on technical contribution\nMobile Execution, Quality & Operations\nBuild and maintain enterprise mobile applications using modern native and/or cross-platform frameworks\nImplement integrations with RESTful APIs, GraphQL services, event-driven workflows, identity providers, analytics platforms, and mobile backend services\nOptimize mobile applications for performance, memory usage, battery life, network efficiency, offline behavior, accessibility, localization, and reliability\nPartner with DevOps/SRE and QA to support strong mobile CI/CD pipelines, automated testing, build signing, release automation, observability, crash reporting, and safe deployments\nSupport release quality across TestFlight, Google Play testing tracks, App Store, and Google Play production releases\nParticipate fully in the SDLC: design, coding, testing, deployment, production support, incident response, and continuous improvement\nREQUIRED QUALIFICATIONS\nExperience\n7+ years of professional software development experience, including significant hands-on mobile engineering experience\nProven experience delivering complex mobile applications, mobile features, or mobile platform capabilities\nExperience contributing to modernization of legacy mobile applications, mobile architectures, or mobile delivery practices\nHands-on experience building and shipping iOS and Android applications, with cross-platform mobile development experience\nExperience applying AI-assisted development tools and AI-driven engineering practices to improve quality, speed, testing, documentation, and maintainability\nHistory of hands-on technical leadership within a team, project, or mobile workstream\nExperience mentoring engineers and supporting code quality through reviews and technical guidance\nProven ability to lead assigned project workstreams, coordinate with cross-functional stakeholders, manage technical risks, and drive execution through delivery\nTechnical Skills\nStrong mobile engineering experience across iOS and Android\nStrong proficiency with Swift and iOS platform development, including Apple platform conventions, app lifecycle, concurrency, networking, persistence, testing, and App Store release practices\nStrong proficiency with Kotlin and Android platform development, including Android architecture, Jetpack, coroutines, networking, persistence, testing, and Google Play release practices\nHands-on experience with cross-platform mobile technologies such as React Native, Flutter, Kotlin Multiplatform, .NET MAUI, or equivalent frameworks\nSolid understanding of mobile architecture patterns such as MVVM, MVI, Clean Architecture, modular architecture, dependency injection, and design-system integration\nExperience integrating mobile apps with RESTful APIs, GraphQL, identity providers, telemetry platforms, crash reporting, analytics, feature flags, and remote configuration\nHands-on experience with AI-assisted development tools and AI-enabled engineering workflows\nWorking knowledge of LLM-powered product experiences, AI service integration, prompt-driven workflows, structured outputs, validation, and responsible AI guardrails\nStrong understanding of mobile security, secure storage, authentication, authorization, privacy, encryption, certificate pinning, OWASP Mobile risks, and compliance-aware engineering\nStrong experience with mobile testing strategies, including unit testing, UI automation, integration testing, contract testing, snapshot testing, and regression automation\nExperience with mobile CI/CD, build automation, signing, provisioning, release tracks, app store submission, observability, and production monitoring\nComfort working with cloud environments and backend integration patterns across AWS and/or Azure\nProficient with Git and modern development workflows\nStrong understanding of production-quality code, performance tuning, reliability engineering, accessibility, and user-centered mobile design\nNICE TO HAVE\nExperience with .NET MAUI, or other cross-platform mobile frameworks at scale\nExperience building shared mobile platform libraries, SDKs, design systems, or reusable component frameworks\nExperience with offline-first mobile applications, synchronization, conflict resolution, and intermittent connectivity scenarios\nExperience with mobile observability, crash analytics, performance monitoring, synthetic monitoring, and SLO-driven reliability practices\nExperience integrating AI-powered features into mobile applications, including on-device AI, cloud AI services, personalization, automation, or contextual assistants\nExperience with regulated, security-sensitive, or compliance-driven mobile applications\nBackground with event streaming, messaging, or real-time data workflows\nStrong background in Agile/Scrum environments\nEDUCATION\nBachelor’s degree in computer science or equivalent practical experience\nWHAT SUCCESS LOOKS LIKE\nYou are consistently delivering high-quality mobile features and improvements across iOS and Android\nMobile applications are becoming more reliable, performant, secure, observable, accessible, and easier to release\nLegacy mobile systems are being improved incrementally without disrupting customers or business operations\nAI-assisted engineering practices improve team velocity, code qual...","description_format":"text","description_chars":12817,"description_truncated":true,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Fleet Management","Automotive 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