{"id":2001293,"url":"https://alion.io/job/solera-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":95,"open_postings":82,"ghost_share":0,"stale_share":0.012,"repost_share":0,"time_to_fill_p50_days":119,"computed_at":"2026-10-12T06:55:09Z"}},"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":27000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"ASP.NET Core","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PostgreSQL","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Agile","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Scrum","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-07T11:33:19Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T13:15:02Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Who 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 Software Engineer who can help design, build, and deliver production-grade software with a strong focus on AI-driven development, agentic AI systems, and workflow automation. You will work as a senior technical contributor and workstream lead, writing production code regularly while guiding engineers through complex implementation decisions.\nThis role is ideal for an experienced engineer who:\nBuilds production software using modern engineering practices and AI-assisted development tools\nDesigns and implements agentic AI workflows that connect LLMs, tools, APIs, data sources, and business processes\nLeads delivery for features, services, and workflow automation capabilities within a team or product area\nApplies pragmatic architecture patterns that improve reliability, scalability, maintainability, and developer velocity\nMentors engineers through hands-on pairing, code review, technical design, and adoption of AI-driven development practices\nYou will operate with meaningful autonomy within your team, influence implementation patterns across related services, and be known as someone who ships high-quality software, unblocks delivery, and helps the team adopt practical AI-enabled engineering workflows.\nWHAT YOU’LL DO\nWrite production-quality code regularly across services, APIs, workflow engines, and AI-enabled capabilities\nLead delivery of high-impact features from design through deployment and production support\nModernize legacy components incrementally using pragmatic, low-risk migration patterns\nDesign, build, and evolve scalable microservices, APIs, integrations, and event-driven workflows\nTranslate business and product requirements into reliable software designs, implementation plans, and working solutions\nIdentify implementation risks early and drive practical solutions that keep delivery moving without sacrificing quality\nAI-Driven Development, Agentic AI & Workflow Automation\nDesign and implement AI-enabled workflows using large language models, retrieval patterns, structured outputs, and tool/function calling\nBuild agentic systems that can execute multi-step workflows, invoke tools, call APIs, maintain state, and support human-in-the-loop reviews where appropriate\nImplement MCP-style or equivalent orchestration patterns for context management, tool access, memory, permissions, and workflow execution\nIntegrate AI workflows with enterprise data sources, business applications, APIs, queues, and operational systems\nApply grounding, validation, guardrails, prompt/version management, and evaluation techniques to reduce hallucinations and improve reliability\nBuild monitoring, observability, feedback loops, and quality checks for production AI behavior\nPartner with product, security, architecture, and operations teams to ensure AI solutions meet business, privacy, compliance, and supportability requirements\nTechnical Leadership & Delivery\nLead technical execution for a team, feature area, or workstream while remaining hands-on in the codebase\nContribute to architecture decisions for service boundaries, integration patterns, data ownership, and AI workflow design\nMake sound engineering tradeoffs across delivery speed, reliability, scalability, security, cost, and maintainability\nServe as a technical escalation point for implementation challenges involving distributed systems, AI workflows, data integrations, and production issues\nCreate reusable patterns, examples, and guidance that help engineers deliver consistent, high-quality solutions\nAI-Assisted Engineering & Developer Productivity\nUse AI-powered development tools such as GitHub Copilot, ChatGPT, Claude, or equivalent tools to accelerate coding, refactoring, testing, debugging, and documentation\nEstablish practical team practices for safe, reviewable, and high-quality AI-assisted development\nCreate prompts, reusable workflows, coding patterns, and automation scripts that improve developer productivity\nHelp engineers adopt AI-driven development without weakening code review discipline, testing standards, security practices, or production ownership\nMentorship & Team Elevation\nMentor engineers through pairing, code reviews, design discussions, and implementation planning\nHelp engineers build stronger judgment around AI-enabled development, workflow automation, testing, and production readiness\nCoach less-experienced developers on modern engineering practices, secure AI usage, and maintainable system design\nPromote a culture of ownership, learning, collaboration, and technical accountability\nLead by example with clear communication, humility, urgency, and high engineering standards\nTechnical Execution & Operations\nBuild and maintain SaaS applications using modern frameworks and cloud platforms\nDesign and implement RESTful APIs and event-driven integrations\nWork with relational and NoSQL databases, optimizing for performance and reliability\nBuild containerized applications using Docker and deploy via Kubernetes\nPartner with DevOps/SRE to ensure strong CI/CD pipelines, observability, and safe deployments\nParticipate fully in the SDLC: design, coding, testing, deployment, and production support\nREQUIRED QUALIFICATIONS\nExperience\n7+ years of professional software development experience\nProven experience leading delivery of complex features, services, or technical workstreams\nHands-on experience designing, building, and operating production software systems\nExperience applying AI-assisted development tools in real engineering workflows\nHands-on exposure to LLM-enabled applications, agentic workflows, automation systems, or AI-integrated product capabilities\nDemonstrated ability to mentor engineers and improve team execution through practical technical leadership\nTechnical Skills\nStrong proficiency in C# and .NET, including ASP.NET Core and modern .NET development\nStrong understanding of RESTful API design, distributed systems, and production service development\nExperience building microservices, integration services, and event-driven workflows\nHands-on experience with LLMs, AI workflow orchestration, or agentic AI patterns, including tool/function calling, context management, structured outputs, and workflow state\nExperience integrating AI-enabled systems with databases, APIs, queues, and enterprise applications\nHands-on experience with relational databases such as SQL Server or PostgreSQL\nWorking knowledge of NoSQL data stores, caching strategies, and performance optimization\nExperience with Docker, containerized application development, and cloud deployment practices\nPractical experience with Kubernetes or container orchestration platforms\nComfort working in cloud environments such as Azure or AWS\nProficient with Git, pull requests, code reviews, branching strategies, and modern CI/CD workflows\nStrong understanding of automated testing, observability, secure coding, and production support practices\nMust Have Skills:\nStrong proficiency in C# and .NET, including ASP.NET Core and modern .NET development\nFrontend framework experience such as React( Preferable) , Angular\nHands-on experience with relational databases such as SQL Server\nHands-on experience with LLMs, AI workflow orchestration, or agentic AI patterns, including tool/function calling, context management, structured outputs, and workflow state\nDevelop production-quality code across distributed services and architecture, leveraging expertise in APIs, workflow orchestration, and AI-enabled solutions.\n\nNICE TO HAVE\nExperience with Python, Java, TypeScript, or polyglot engineering environments\nExperience with message queues, event streaming, or workflow orchestration platforms\nExperience with vector databases, retrieval-augmented generation, knowledge graphs, or semantic search\nExperience building AI evaluation harnesses, prompt/version management, safety checks, or governance workflows\nBackground with high-throughput, real-time, or operationally critical SaaS systems\nStrong background in Agile/Scrum environments and cross-functional delivery\nEDUCATION\nBachelor’s degree in computer science or equivalent practical 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