{"id":3860578,"url":"https://alion.io/job/iqvia-sr-software-development-engineer-3","title":"Sr Software Development Engineer","company":{"id":4918,"name":"IQVIA","domain":"iqvia.com","url":"https://alion.io/company/iqvia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":594,"ghost_share":0.013,"stale_share":0.771,"repost_share":0.037,"time_to_fill_p50_days":22,"computed_at":"2026-11-07T05:47:08Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Agile","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Anthropic","optional":true},{"name":"API Gateway","optional":true},{"name":"AutoGen","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS CDK","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Chroma","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"CloudFormation","optional":true},{"name":"CrewAI","optional":true},{"name":"Docker","optional":true},{"name":"DynamoDB","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"GitLab CI","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"Langfuse","optional":true},{"name":"LangSmith","optional":true},{"name":"Llama","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Neo4j","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenSearch","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true},{"name":"RabbitMQ","optional":true},{"name":"RAG","optional":true},{"name":"Redis","optional":true},{"name":"Rest API","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Semantic Search","optional":true},{"name":"Snowflake","optional":true},{"name":"Terraform","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-11-06T09:14:27Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T03:28:19Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Senior Software Engineer (Grade 150) - Orchestrated Analytics\nJob Description Summary\nThe Orchestrated Analytics team is looking for a Senior Software Engineer (Grade 150) to design, build, deploy, and support next-generation Agentic AI solutions that power intelligent analytics, automation, and decision-support capabilities for our healthcare and life sciences customers.\nThis is an individual contributor role focused on the end-to-end development of scalable, secure, and production-ready AI agents, agent orchestration frameworks, and cloud-native services. The ideal candidate will have strong expertise in Python development, AI/LLM application engineering, and AWS cloud technologies, with a passion for building reliable, high-performing solutions in a fast-paced, collaborative environment.\nDo you enjoy solving complex engineering challenges? Are you passionate about Generative AI, multi-agent systems, cloud-native architectures, and engineering excellence? Do you thrive in a collaborative environment that values innovation, accountability, and continuous learning?\nJoin us!\nKey Technologies\nMust have skill:\nStrong Python programming.\nAgentic AI Frameworks (Must have: LangGraph, LangChain & good to have: CrewAI, AutoGen, Semantic Kernel)\nData base: Must have: Snowflake (Mandatory) or PostgreSQL & Good to have: MongoDB / Neo4j\n Basic Cloud experience: AWS (Bedrock, ECS, EKS, Lambda, S3, DynamoDB, API Gateway, CloudWatch)\nDocker / Kubernetes\nGitLab CI/CD\n Large Language Models (AWS Bedrock, Anthropic Claude, OpenAI, Llama)\nOther technologies:\nModel Context Protocol (MCP) and Agent Integrations\nFastAPI / Flask/ REST APIs\nRedis / RabbitMQ\nVector Databases (OpenSearch, Pinecone, Weaviate, Chroma)\nObservability Platforms (LangSmith, LangFuse, OpenTelemetry)\nPrincipal Responsibilities\nDesign, develop, deploy, and support scalable Agentic AI applications and intelligent workflow orchestration solutions.\nBuild robust backend services, APIs, and reusable frameworks using Python and modern software engineering practices.\nDevelop and integrate AI agents leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agent orchestration frameworks, and external tools/services.\nImplement cloud-native solutions on AWS with a focus on scalability, security, reliability, and operational excellence.\nContribute to solution architecture, technical design decisions, and technology selection.\nEnsure software engineering best practices including code reviews, automated testing, CI/CD, observability, secure coding, and Agile development methodologies.\nOptimize system performance, scalability, reliability, and cloud cost efficiency.\nTroubleshoot and resolve production issues while maintaining high system availability.\nCollaborate with product managers, architects, data engineers, and platform teams to deliver high-quality solutions.\nMentor junior engineers and contribute to the team's engineering standards and technical excellence.\nEvaluate emerging AI technologies, frameworks, and industry trends to continuously improve platform capabilities.\nParticipate in Agile planning, estimation, sprint execution, and continuous improvement initiatives.\nThe Ideal Candidate Will Have at Minimum\nBachelor's degree in Computer Science, Engineering, or a related discipline.\nTotal experience of 7 to 10 years in software engineering.\n 6+ years of hands-on experience in Python application development.\nExperience building, deploying, and supporting enterprise-grade applications in AWS cloud environments.\nExperience developing AI/ML-powered applications, Generative AI solutions, or Agentic AI workflows.\nHands-on experience with AWS Bedrock, OpenAI, Anthropic Claude, or similar LLM platforms.\nExperience with agent orchestration frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or equivalent technologies.\nExperience building and consuming REST APIs and microservices.\nExperience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.\nExperience with relational and NoSQL databases including PostgreSQL, MongoDB, Snowflake, DynamoDB, or similar platforms.\nStrong understanding of software architecture, object-oriented design principles, and distributed systems.\nExperience with version control systems, CI/CD pipelines, and cloud-native development practices.\nExperience implementing automated testing strategies including unit, integration, and end-to-end testing.\nStrong analytical, problem-solving, and debugging skills.\nExcellent communication (written and oral) and interpersonal skills.\nWe Also Value Any of the Following\nExperience implementing Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge retrieval systems.\nExperience with vector databases and semantic search technologies.\nExperience developing MCP-compliant tools, extensions, and agent integrations.\nExperience with observability and monitoring platforms such as LangSmith, LangFuse, OpenTelemetry, Grafana, or Prometheus.\nExperience with Infrastructure as Code (Terraform, CloudFormation, AWS CDK).\nExperience with DevOps practices and automation tools.\nExperience with MLOps and model lifecycle management.\nExperience optimizing cloud infrastructure costs and operational efficiency.\nExperience implementing secure AI solutions and AI governance controls.\nExperience working in healthcare, pharmaceutical, or life sciences domains.\nContributions to open-source AI, cloud-native, or developer tooling projects.\nTo Be Successful as a Member of the Team, the Candidate Must Also\nWork effectively in a collaborative, team-based environment while being capable of delivering independently.\nBe a self-starter who enjoys solving challenging engineering problems and driving outcomes.\nDemonstrate strong ownership, accountability, and attention to quality.\nBe flexible and adaptable in a fast-paced, dynamic technology landscape.\nConsider feedback as an opportunity to learn and grow.\nCommunicate clearly with both technical and non-technical stakeholders.\nExhibit curiosity and a continuous learning mindset toward emerging AI and cloud technologies.\nMaintain a strong customer focus and commitment to operational excellence.\nIQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com\nIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. 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