{"id":4215913,"url":"https://alion.io/job/m-league-softwear-development-engineer-ii","title":"Softwear Development Engineer - II","company":{"id":9447,"name":"M-League","domain":"mleague.gg","url":"https://alion.io/company/m-league","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":"middle","employment_type":null,"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":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"ClickHouse","optional":false},{"name":"Cursor","optional":false},{"name":"Function Calling","optional":false},{"name":"Go","optional":false},{"name":"Google BigQuery","optional":false},{"name":"gRPC","optional":false},{"name":"Java","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Cassandra","optional":true},{"name":"FastAPI","optional":true},{"name":"Flink","optional":true},{"name":"GCP","optional":true},{"name":"Google Bigtable","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"ScyllaDB","optional":true},{"name":"Spark","optional":true},{"name":"Spring Boot","optional":true}],"status":"live","first_seen_at":"2026-11-13T02:36:00Z","employer_posted_date":null,"last_verified_at":"2026-11-13T02:36:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We're looking for strong software engineers who can own systems end to end, from design through production. We value deep engineering fundamentals across services, data, APIs and frontend rather than expertise in any one language. We're looking for engineers with a proven track record of shipping scalable, production-ready platforms—not just prototypes. You'll also use AI tools daily to accelerate development without compromising engineering quality.\n\nResponsibilities: \nOwn platform components end to end: Design, build and run features from LLD and HLD through production, with a focus on availability, performance and cost.\nWork across the stack: Build backend services, databases, event pipelines, APIs and gateways, and contribute to frontend development as needed.\nMaintain engineering quality: Lead design and code reviews, maintain tests and documentation, and plan delivery with Product, QE and Reliability teams.\nBuild agentic systems: Design and ship multi-agent workflows involving tool use, retrieval and autonomous task execution, supported by evaluations, guardrails and monitoring.\nResolve production issues: Investigate and fix issues at their root cause using logs, metrics and traces.\n\nRequirements: \n3-6 years of experience building and running production systems for consumer-scale products.\n\nSystem Design Fundamentals: \nStrong understanding of Low-Level Design (LLD), including object-oriented design and design patterns.\nStrong High-Level Design (HLD) skills across distributed systems, scalability, consistency trade-offs and failure handling.\nFamiliarity with retries, idempotency, backpressure and circuit breakers.\n\nData and Messaging: \nExperience with data modelling across relational and NoSQL databases.\nUnderstanding of caching strategies and event-driven architecture using Kafka or similar technologies.\nAbility to choose the right technology for a problem and explain why.\n\nAnalytics and Data Products: \nHands-on experience with analytics systems such as ClickHouse, Pinot, BigQuery or similar platforms, or experience building data products.\n\nAPIs, Gateways and Security: \nExperience designing REST and gRPC APIs.\nUnderstanding of API gateways, authentication and authorisation (OAuth, JWT), rate limiting, secrets handling and common security risks.\n\nFull-Stack Development: \nStrong experience in at least one backend language such as Java, Python or Go.\nComfortable building or modifying web frontend applications using React or similar technologies.\n\nAI-Native Development: \nDaily hands-on use of AI development tools such as Claude Code, Cursor or similar across development, testing, QA and debugging.\nAbility to critically evaluate AI-generated output and understand when not to rely on it.\n\nProduction AI Agents: \nExperience building agents or multi-agent workflows that real users depend on.\nFamiliarity with frameworks and technologies such as LangGraph, Claude Agent SDK or MCP.\nUnderstanding of evaluations, error handling and monitoring for production agentic systems.\n\nNice to Have: \nCloud and infrastructure experience, particularly GCP, containers and Kubernetes.\nExposure to stream-processing technologies such as Spark Structured Streaming or Flink.\nExperience with LLM platforms, including model serving, evaluation pipelines, and optimising cost and latency for LLM workloads.\nOpen-source contributions or public technical writing.\n\nTechnology Stack: \nLanguages and Frameworks: Java (Spring Boot), Python (FastAPI).\nDatabases: PostgreSQL, Redis, Cassandra, ScyllaDB, MongoDB, Bigtable, ClickHouse, Pinot.\nStreaming: Kafka, Pulsar or equivalent event-driven technologies.\nCloud and Infrastructure: GCP, Kubernetes.\nSkills\nBigQuery, ClickHouse, Go, JWT, Java, Kafka, Kubernetes, LangGraph, OAuth, Python, REST, React, gRPC","description_format":"text","description_chars":3779,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Game Development","Esports"],"lifecycle":[{"event":"open","at":"2026-11-13T02:36:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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