{"id":3953184,"url":"https://alion.io/job/neurealm-senior-python-developer","title":"Senior Python Developer","company":{"id":59455,"name":"Neurealm","domain":"neurealm.com","url":"https://alion.io/company/neurealm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Asyncio","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AutoGen","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Claude","optional":true},{"name":"CrewAI","optional":true},{"name":"FAISS","optional":true},{"name":"Gemini","optional":true},{"name":"Grafana","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenSearch","optional":true},{"name":"Pinecone","optional":true},{"name":"Prometheus","optional":true},{"name":"Qdrant","optional":true},{"name":"RabbitMQ","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-09T05:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-09T05:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Description:\n\nWe are looking for an experienced Senior Python Developer to lead the design and development of scalable, high-performance backend applications and distributed systems. The ideal candidate should possess deep expertise in Python, backend architecture, API development, cloud technologies (AWS preferred), and modern software engineering practices.\n\nThe role requires technical leadership, mentoring junior developers, driving architectural decisions, and collaborating closely with product managers, architects, DevOps, and QA teams to deliver enterprise-grade solutions.\n\nKey Responsibilities:\nDesign, develop, and maintain scalable, secure, and highly available Python applications.\nArchitect backend systems, microservices, and RESTful APIs following industry best practices.\nLead technical design discussions and drive architectural decisions.\nReview code and ensure adherence to coding standards, security guidelines, and engineering best practices.\nOptimize application performance, scalability, reliability, and cost efficiency.\nDesign database schemas and optimize complex SQL queries.\nCollaborate with cross-functional teams to define technical solutions and implementation strategies.\nMentor junior developers through code reviews, technical guidance, and knowledge sharing.\nTroubleshoot complex production issues and perform root cause analysis.\nDrive automation through CI/CD pipelines and Infrastructure as Code.\nEnsure applications are observable through proper logging, monitoring, and alerting.\nParticipate in Agile ceremonies and contribute to sprint planning and technical estimation.\nEvaluate emerging technologies and recommend improvements to existing platforms.\n\nRequired Technical Skills:\n\nProgramming & Backend:\nExpert-level Python programming experience.\nStrong experience with FastAPI, Flask, or Django.\nExtensive experience designing and developing RESTful APIs.\nStrong understanding of Object-Oriented Programming (OOP), SOLID principles, and design patterns.\nExperience building scalable microservices architectures.\nStrong understanding of asynchronous programming (asyncio, FastAPI async).\n\nDatabases:\nStrong knowledge of relational databases such as PostgreSQL, MySQL, or SQL Server.\nExperience with NoSQL databases such as MongoDB, DynamoDB, or Redis.\nAbility to optimize complex SQL queries and database performance.\n\nCloud (Preferred):\nHands-on experience with AWS services such as:\nLambda\nECS\nEC2\nS3\nAPI Gateway\nCloudWatch\nIAM\nSQS/SNS\nRDS\nExposure to Azure or GCP is an added advantage.\n\nDevOps & Deployment:\nDocker and containerized application development.\nKubernetes fundamentals.\nCI/CD using GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline.\n\nSoftware Engineering:\nGit and modern branching strategies.\nUnit, integration, and end-to-end testing (PyTest, Unittest).\nStrong debugging and performance tuning skills.\nExperience with Linux environments.\nUnderstanding of security best practices for APIs and web applications.\n\nGood to Have:\nExperience developing AI/ML or Generative AI applications.\nExposure to LLM frameworks such as LangChain, LangGraph, or LlamaIndex.\nExperience integrating with vector databases (Qdrant, Pinecone, FAISS, OpenSearch, etc.).\nExperience with event-driven architectures using Kafka, RabbitMQ, or AWS SQS.\nKnowledge of distributed systems and message-driven architectures.\nFamiliarity with OAuth2, JWT, SSO, and authentication frameworks.\nExperience with monitoring tools such as Grafana, Prometheus, ELK Stack, or CloudWatch.\nExposure to serverless architectures.\n\nLeadership Expectations:\n\nThe successful candidate should demonstrate:\n\nStrong ownership and accountability for technical deliverables.\nAbility to mentor and guide development teams.\nExcellent analytical and problem-solving skills.\nStrong communication and stakeholder management abilities.\nCapability to balance technical excellence with business priorities.\nAbility to drive engineering best practices and continuous improvement.\n\nPreferred Candidate Profile:\n\nWe are looking for someone who:\n\nHas extensive experience building scalable backend platforms.\nCan independently design and implement complex technical solutions.\nEnjoys mentoring engineers and improving team productivity.\nHas hands-on cloud development experience (AWS preferred).\nIs passionate about software quality, automation, and performance.\nKeeps up to date with modern backend technologies and engineering practices.\n\nNice-to-Have (If Hiring for AI-Driven Teams):\n\nCandidates with experience in the following areas will be preferred:\n\nBuilding AI-powered backend services.\nDeveloping Retrieval-Augmented Generation (RAG) applications.\nAgentic AI frameworks (LangGraph, CrewAI, AutoGen, etc.).\nMCP (Model Context Protocol).\nIntegrating LLMs such as OpenAI, Claude, Gemini, or Amazon Bedrock into production applications.\nDeveloping scalable APIs that serve AI/ML workloads.\nSkills\nAWS, Django, FastAPI, Flask, 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