{"id":3767344,"url":"https://alion.io/job/veeva-systems-development-manager","title":"Development Manager","company":{"id":3288,"name":"Veeva Systems","domain":"veeva.com","url":"https://alion.io/company/veeva-systems","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":82,"open_postings":767,"ghost_share":0.214,"stale_share":0,"repost_share":0.003,"time_to_fill_p50_days":187,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Management","role_family":"Management","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":["Dalian, China"],"countries":["CN"],"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":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Dify","optional":false},{"name":"Function Calling","optional":false},{"name":"Java","optional":false},{"name":"Kanban","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Scrum","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Vue.js","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Django","optional":true},{"name":"FastAPI","optional":true},{"name":"FHIR","optional":true},{"name":"HIPAA","optional":true},{"name":"HL7","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Milvus","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"Pinia","optional":true},{"name":"Spring Boot","optional":true},{"name":"Vuex","optional":true}],"status":"live","first_seen_at":"2026-11-04T15:45:58Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T00:24:34Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"description":"The Role\nWe are looking for an experienced and technically rigorous Development Manager to lead the end-to-end engineering and product delivery of our core software solutions. In this role, you will bridge technical architecture with product vision across modern tech stacks (Python, Java, Vue.js, and multi-cloud environments) while driving the practical integration of Generative AI across the SDLC. Additionally, you will champion the operationalization of production-grade AI Agents and custom Skills to power intelligent product capabilities.\nWhat You’ll Do\nTeam Leadership & Talent Development: Lead capacity planning, recruitment, onboarding, and structure of the engineering team; mentor developers, technical workshops, and career development frameworks to foster engineering excellence.\nArchitecture & Engineering Delivery: Direct end-to-end technical selection and system architecture across Python, Java, and Vue.js frameworks, ensuring software systems are modular, highly scalable, and secure.\nAI-Augmented SDLC Integration: Champion and embed AI tooling directly into the Software Development Life Cycle (SDLC)-including automated testing, code review workflows, and developer productivity tooling-to measurably boost engineering velocity and code quality.\nAgent & Skill Productization: Architect and deliver production-grade AI Agents and custom extensible Skills/Tools, leveraging patterns such as Function Calling, RAG (Retrieval-Augmented Generation), and memory management to solve complex business scenarios.\nCloud & Infrastructure Governance: Design and govern resilient cloud architectures on AWS and Alibaba Cloud, overseeing containerization, service orchestration, and high-throughput middleware systems (e.g., Kafka, RabbitMQ, Redis).\nData Modeling & Standards: Establish enterprise data modeling standards (conceptual, logical, and physical), lead database schema optimization, and ensure consistent, high-performance data access across relational and non-relational storage engines.\nCross-Functional Delivery: Partner closely with Product Managers, algorithm engineers, QA, and domain specialists to manage agile sprints (Scrum/Kanban), mitigate technical risks, and ensure predictable, high-quality milestone delivery.\nRequirements\nExperience: Bachelor’s degree in Computer Science, Software Engineering, or a related field; 5+ years of software development and system architecture experience, with 2+ years of technical team leadership or project management experience.\nTechnical Stack: Deep proficiency in Python and/or Java with solid hands-on engineering experience in the other; proven expertise with Vue.js (Vue 2/3, Pinia/Vuex) and enterprise frameworks (such as Spring Boot/Cloud, FastAPI, or Django).\nCloud & Middleware: Strong working knowledge of cloud-native services on AWS (e.g., ECS/EKS, RDS, S3) and/or Alibaba Cloud (e.g., ACK, RDS, OSS), alongside in-depth experience configuring and tuning middleware (Redis, Kafka, RabbitMQ).\nAI in SDLC Practice: Demonstrated hands-on track record of integrating AI tools into daily SDLC workflows (e.g., GitHub Copilot, Cursor, internal DevOps bots) with measurable gains in delivery efficiency.\nAI Agent & Skill Development: Practical experience designing and deploying production-level AI Agents or custom agentic skills, utilizing frameworks such as LangChain, LlamaIndex, Dify, or Semantic Kernel, with solid command of tool calling and prompt engineering.\nData Systems & Modeling: Proven mastery of database schema design and data modeling specifications across mainstream relational (MySQL, PostgreSQL) and NoSQL databases, including indexing, query optimization, and high-concurrency storage strategies.\nLeadership & Communication: Exceptional problem-solving and architectural governance skills, with the ability to articulate complex technical concepts to non-technical stakeholders and translate business goals into actionable engineering roadmaps.\nNice to Have\nDomain Expertise: Professional software development background in Life Sciences, Biotechnology, Pharmaceuticals, Medical Devices, or Clinical Healthcare informatics.\nCompliance & Data Standards: Familiarity with healthcare/life science data standards and regulatory compliance frameworks (e.g., GxP, HIPAA, HL7/FHIR, healthcare data anonymization/security).\nAdvanced AI & Vector Data: Hands-on exposure to Vector Databases (e.g., Milvus, pgvector, Pinecone) or experience implementing multi-agent coordination architectures.\nPerks & Benefits\nGrants for fitness, communication and heating\nHealthy, free, provided snacks","description_format":"text","description_chars":4575,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","CRM Software","Data Providers & Datasets","Clinical Trial Software"],"lifecycle":[{"event":"open","at":"2026-11-04T20:27:45Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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