{"id":40242,"url":"https://alion.io/job/sarvam-ai-embedded-infrastructure-engineer-chanakya","title":"Embedded Infrastructure Engineer, Chanakya","company":{"id":229,"name":"Sarvam AI","domain":"sarvam.ai","url":"https://alion.io/company/sarvam-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":37,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-11-01T06:10:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":32000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Flink","optional":false},{"name":"Kubernetes","optional":false},{"name":"MinIO","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SRE","optional":false},{"name":"Terraform","optional":false},{"name":"Milvus","optional":true},{"name":"pgvector","optional":true},{"name":"Qdrant","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-04-17T12:01:22Z","employer_posted_date":"2026-04-17","last_verified_at":"2026-11-01T18:09:47Z","board_verified":true,"closed_at":null,"days_open":198,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":197},"description":"About Sarvam\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\nAbout the Role\nEmbedded Infrastructure Engineers design, build, and maintain the data infrastructure that underpins AI system deployments at client sites. You work alongside Embedded Data Scientists and Strategic Deployment Engineers to ensure that terabyte-scale datasets can be ingested, stored, queried, and served to AI reasoning engines reliably and performantly.\nThis means building and operating data platforms that handle terabyte-scale persistent data stores and sustained large daily ingestion volumes across structured records, documents, imagery, audio, and geospatial data. You will design and maintain the databases, object stores, ingestion pipelines, and processing layers that make this possible.\nYou will make critical decisions about storage architecture, indexing strategies, pipeline orchestration, and system performance - often in constrained, air-gapped, or operationally sensitive environments where you cannot rely on managed cloud services or standard enterprise tooling. You will own the reliability and performance of the infrastructure layer in your assigned accounts.\nWhat You'll Do\nDesign and operate data storage architectures (relational, document, vector, object storage) capable of managing terabyte-scale datasets across multiple modalities\nBuild and maintain ingestion pipelines that reliably process daily data influx - including batch and streaming workloads - with monitoring, error handling, and backpressure management\nImplement indexing, partitioning, and query optimisation strategies that allow AI systems and data scientists to retrieve and reason over large datasets with acceptable latency\nWork with Embedded Data Scientists to translate ontologies, schemas, and semantic structures into performant physical data models and storage configurations\nDeploy and manage database systems, vector stores, and search infrastructure in air-gapped, on-premise, or security-constrained environments\nBuild observability into the data platform: monitor pipeline health, storage utilisation, query performance, and ingestion lag\nOwn capacity planning and scaling decisions for data infrastructure across assigned client deployments\nCollaborate with product and engineering teams to feed infrastructure learnings back into the core platform and tooling\nWhat We're Looking For\n4-8 years in data infrastructure, data engineering, platform engineering, or site reliability engineering, ideally at organisations operating at significant data scale\nDirect experience managing multi-terabyte data stores - you have personally built or operated systems handling 10TB+ of persistent data and sustained high-throughput ingestion\nDeep working knowledge of at least two of: PostgreSQL, MongoDB, Elasticsearch, ClickHouse, or comparable systems - including tuning, indexing, partitioning, and operational management\nExperience building production data ingestion pipelines using Apache Kafka, Apache Spark, Airflow, Flink, dbt, or equivalent frameworks\nStrong proficiency in Python and/or Go, with experience writing production infrastructure tooling and automation\nSolid understanding of storage systems and formats: object storage (S3/MinIO), columnar formats (Parquet, ORC), and how to choose the right storage layer for the workload\nFamiliarity with containerisation and orchestration (Docker, Kubernetes) in production settings\nExperience with infrastructure-as-code and deployment automation (Terraform or similar)\nBonus Points\nExperience with vector databases or embedding stores (Milvus, Weaviate, Qdrant, pgvector, or similar)\nExperience deploying and operating infrastructure in air-gapped, on-premise, or hybrid environments\nNote: We are looking for people who can own the outcomes described here, not\npeople who match every line of this specification. If this problem excites you and\nyou believe you can do this work; we want to hear from you.\nWhy Sarvam?\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\nWork alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\nHigh ownership and high impact, from day one\nEverything we do is AI-first, from the way we build and ship to the way we think about problems\nYou can work on problems that could change how an entire country learns, works, and communicates\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be.","description_format":"text","description_chars":4996,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["LLM & Generative AI","Natural Language Processing","Speech & Audio AI","Foundation Models"],"lifecycle":[{"event":"open","at":"2026-04-17T12:01:22Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.632,"p_room":0.28,"age_days":197,"expected_fill_days":91,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/sarvam-ai-embedded-infrastructure-engineer-chanakya","json_url":"https://alion.io/job/sarvam-ai-embedded-infrastructure-engineer-chanakya.json","meta":{"generated_at":"2026-11-01T18:12:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27923,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":229},"rest":"https://alion.io/mcp/rest/get_company?id=229"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsarvam-ai-embedded-infrastructure-engineer-chanakya"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsarvam-ai-embedded-infrastructure-engineer-chanakya"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsarvam-ai-embedded-infrastructure-engineer-chanakya"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sarvam-ai-embedded-infrastructure-engineer-chanakya\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsarvam-ai-embedded-infrastructure-engineer-chanakya"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":40242}},{"tool":"search_jobs","arguments":{"company":"sarvam.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":40242},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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