{"id":4343408,"url":"https://alion.io/job/anblicks-senior-software-engineer-ai-platforms-cloud","title":"Senior Software Engineer AI Platforms & Cloud","company":{"id":2303504,"name":"Anblicks","domain":"anblicks.com","url":"https://alion.io/company/anblicks","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, 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":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Spring Boot","optional":false},{"name":"AI Agents","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-15T17:22:51Z","employer_posted_date":null,"last_verified_at":"2026-11-15T17:22:51Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Immediate Joiners preferred\n\nJob Summary \nWe are seeking highly skilled Senior Software Engineers with deep expertise in the Java ecosystem, cloud-native architecture, and AI-powered application development. The ideal candidate will have strong experience in Java, Spring Boot, AWS, Snowflake Clean Rooms, Angular, and deployment of AI solutions into production environments. \nThis role will be responsible for designing and building scalable enterprise applications, AI-powered services, chatbot solutions, and Model Context Protocol (MCP)-based integrations while working closely with architects, product teams, and data engineers. \n\nKey Responsibilities\nDesign, develop, and maintain enterprise-grade applications using Java and Spring Boot. \nBuild scalable microservices and cloud-native solutions on AWS. \nDevelop and integrate applications with Snowflake Clean Rooms and related data-sharing platforms. \nDesign and implement serverless solutions using AWS Lambda. \nDevelop modern user interfaces using Angular. \nBuild, expose, and manage MCP (Model Context Protocol) services as public integration endpoints. \nDesign and develop reusable AI Skills and AI-powered capabilities. \nDevelop and deploy chatbot solutions leveraging modern AI and LLM technologies. \nDeploy, monitor, and support AI systems in production environments. \nParticipate in architecture, design, and technology evaluation discussions. \nOptimize application performance, scalability, security, and reliability. \nMentor engineers and contribute to engineering excellence through code reviews and technical leadership. \nCollaborate with Product, Data Engineering, and Platform teams to deliver business solutions. \n\nRequired Qualifications\n5+ years of software engineering experience. \nStrong expertise in Java and the broader Java ecosystem. \nExpert-level knowledge of Spring Boot and Microservices architecture. \nStrong experience with AWS cloud services. \nHands-on experience with AWS Lambda and serverless architectures. \nExperience with Snowflake Clean Rooms and secure data-sharing solutions. \nStrong front-end experience with Angular. \nExperience developing scalable REST APIs. \nExperience building and exposing MCP-based services. \nExperience building AI Skills and integrating AI capabilities into enterprise applications. \nExperience deploying AI/ML applications into production environments. \nStrong understanding of distributed systems and cloud-native design patterns. \nExperience with CI/CD pipelines, automated testing, and DevOps practices. \nExcellent problem-solving and troubleshooting skills. \n\nPreferred Qualifications\nAdTech or MarTech domain experience. \nExperience working with Generative AI, LLMs, Agentic AI, or AI orchestration frameworks. \nExperience with Databricks, Snowflake, or modern data platforms. \nExperience with Docker and Kubernetes. \nKnowledge of data privacy, audience activation, and customer data platforms. \nExperience building AI-powered customer engagement or marketing 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