{"id":744376,"url":"https://alion.io/job/emergent-staff-engineer-backend-2","title":"Staff Engineer - Backend","company":{"id":13432,"name":"Emergent","domain":"emergent.sh","url":"https://alion.io/company/emergent","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":9,"ghost_share":0,"stale_share":0.222,"repost_share":0,"time_to_fill_p50_days":97,"computed_at":"2026-09-26T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","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":{"min_usd":48000,"max_usd":101000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"Databricks","optional":false},{"name":"Dropbox","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Snowflake","optional":false},{"name":"Stripe","optional":false}],"status":"live","first_seen_at":"2026-06-15T11:00:41Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-09-26T23:57:18Z","board_verified":true,"closed_at":null,"days_open":103,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":103},"description":"Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.\nSince our public launch, we've crossed $130M in Annualised Revenue and grown to over 10M users across 190+ countries, who have built 12M+ applications on Emergent. We're backed by Creaegis, Khosla Ventures, SoftBank, Lightspeed, Together, Y Combinator, Google, Claypond and Sentinel Global.\nWe're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.\nWe're hiring builders who want ownership, speed, and impact at global scale.\nSoftware engineering is about to change more in the next five years than it has in the last fifty.\nAt Emergent, we're building autonomous coding agents that can generate, test, debug, and deploy production applications directly from plain-language intent.\nNot copilots.\nNot code-completion tools.\nComplete software systems.\nSince launching publicly, Emergent has grown to:\n$100M ARR in under 8 months\n11 Million+ users across 190+ countries\n12 Million+ applications built on the platform\n$100M+ raised from Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator\nWe're now tackling the hardest problems in AI-powered software creation:\nHow do autonomous agents reliably build production systems?\nHow do we verify correctness when outputs are non-deterministic?\nHow do we build trust, safety, observability, and fault tolerance into systems that reason?\nHow do we orchestrate thousands of AI-driven decisions across distributed infrastructure in real time?\nThese aren't solved problems.\nThere are no playbooks.\nThat's why we're hiring.\nThe Opportunity\nThis is not a traditional Staff Engineer role.\nYou won't be optimizing APIs, managing microservices, or incrementally improving existing infrastructure.\nYou will help define the architecture of systems that can eventually replace large portions of the software development lifecycle itself.\nYou'll work on problems at the intersection of:\nDistributed systems\nAutonomous agents\nReliability engineering\nProgram synthesis\nLarge-scale infrastructure\nRuntime execution environments\nVerification and correctness\nThe systems you build will influence how millions of applications are created.\nWhat You'll Own\nArchitect Agent Infrastructure\nDesign the systems that allow autonomous agents to plan, reason, execute, recover from failures, and continuously improve.\nBuild for Planetary Scale\nDevelop backend and infrastructure systems supporting millions of applications, billions of agent actions, and globally distributed workloads.\nSolve Reliability for Non-Deterministic Systems\nCreate new approaches for validation, observability, debugging, evaluation, and fault tolerance where traditional software engineering assumptions no longer apply.\nDrive Technical Direction\nSet architectural standards across infrastructure, platform, agent runtime, and distributed execution systems.\nCreate New Engineering Paradigms\nMany of the challenges you'll face don't have established solutions.\nYou'll be expected to invent them.\nRaise the Bar\nInfluence engineering culture, mentor senior engineers, and help build one of the highest-talent-density engineering organizations in the industry.\nWhat We're Looking For\nWe're less interested in specific technologies and more interested in how you've thought about hard systems problems.\nYou likely have:\n9+ years building large-scale distributed systems\nExperience owning architecture for critical production infrastructure\nDeep expertise in concurrency, distributed computing, reliability, performance, and fault tolerance\nA history of driving technical strategy across multiple teams\nStrong backend expertise in Go, Python, Java, C++, Rust, or similar languages\nYou may have worked at companies like Google, Uber, Meta, Databricks, Snowflake, Airbnb, Stripe, Dropbox, Amazon, Microsoft, or exceptional high-growth startups.\nExperience with AI systems is helpful but not required.\nExceptional systems engineers learn fast.\nWho Thrives Here\nEngineers who prefer first-principles thinking over established playbooks\nBuilders who want ownership rather than coordination\nPeople who enjoy solving ambiguous, unsolved technical problems\nEngineers who optimize for impact, not titles\nIndividuals who want to help define an entirely new category of software\nWhy This Role Exists\nThe software industry spent decades building tools that help engineers write code.\nWe're building systems that write software.\nIf successful, this will be one of the most important platform shifts in computing.\nYou'll help build the foundation.\nCompensation\nTop-of-market salary\nSignificant equity ownership\nDirect influence on company and technical direction\nOpportunity to work alongside repeat founders, Olympiad medalists, and engineers from Google, Amazon, Dropbox, and leading AI companies\nThe best time to join a category-defining company is before the category is defined.\nBenefits and Perks:\nDaily Meals: Lunch and Dinner provided\nFamily Insurance: 5 Lakhs worth of coverage for you and your family\nUnlimited Paid Time Off: Take the time you need to recharge and come back refreshed\nFlexible Working Hours: Work arrangements that fit your life and commitments\nLet's build the future of software 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