{"id":935322,"url":"https://alion.io/job/zeta-global-staff-software-engineer-2","title":"Staff Software Engineer","company":{"id":5444,"name":"Zeta Global","domain":"zetaglobal.com","url":"https://alion.io/company/zeta-global","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":37,"ghost_share":0,"stale_share":0.351,"repost_share":0,"time_to_fill_p50_days":84,"computed_at":"2026-11-05T05:54:30Z"}},"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":34000,"max_usd":84000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Gemini","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Voice Agents","optional":false}],"status":"live","first_seen_at":"2026-09-15T11:00:55Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-05T23:20:34Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"Staff Software Engineer\nAbout the role:\nWe are hiring a hands-on Staff Software Engineer to provide technical leadership for our Forecasting and Recommendations platforms, with a strong focus on production-grade AI and agentic systems.\nThis role centers on designing, building, and operating high-throughput, low-latency distributed systems that power forecasting, recommendations, and AI-driven decisioning at scale. You will work deeply in backend systems, infrastructure, and AI application architecture, while remaining accountable for reliability, observability, and operational excellence.\nWe are looking for an engineer who can contribute immediately, has shouldered real production incidents, and brings strong judgment around building stable, observable, and scalable systems, including modern agentic and LLM powered applications. \nWhat You’ll Do :\nDesign, build, and operate systems supporting forecasting, recommendations, and agentic AI workflows in production.\nWrite production-quality code daily; own services end-to-end from design through on-call and incident resolution.\nArchitect low-latency, high-throughput SaaS services, including APIs, data pipelines, model inference, and agent orchestration.\nBuild and maintain production-grade agentic applications, including tool-using agents, workflow orchestration, and guardrails.\nWork fluently with foundational LLMs (e.g., GPT, Claude, Gemini Pro), selecting appropriate models and deployment patterns based on latency, cost, and reliability tradeoffs.\nUse frameworks and tooling such as LangChain, voice agents, and related ecosystems to accelerate development-while enforcing production discipline.\nEmbrace AI-assisted development workflows (e.g., Cursor, GitHub Copilot, vibe coding paradigms) to move quickly without sacrificing quality.\nChampion observability and reliability: metrics, logging, tracing, alerting, and post-incident analysis.\nLead and participate in production incident response, retrospectives, and systemic fixes.\nIdentify architectural risks early and make design decisions that prevent outages and scalability issues.\nReduce complexity across services, infrastructure, and processes to improve stability and team velocity.\nProvide technical guidance across teams and participate in architectural reviews beyond your immediate domain.\nWhat We’re Looking For : \n12+ years of professional software engineering experience building and operating production-grade distributed systems.\nA strong track record of hands-on ownership of business-critical services, including measurable improvements in latency, throughput, stability, or cost.\nDeep expertise in systems design, including service boundaries, concurrency, data modeling, failure handling, and scalability tradeoffs.\nProduction experience supporting machine learning-driven systems (forecasting, recommendations, or similar), with emphasis on serving, pipelines, and infrastructure.\nExpert-level experience with AWS, including designing, deploying, and operating large-scale cloud-native systems.\nStrong hands-on experience with Kubernetes, containerized microservices, and modern CI/CD pipelines.\nExperience operating software in both on-prem data center and AWS cloud environments.\nFluency with modern AI-assisted development tools (e.g., Cursor, GitHub Copilot) and comfort working in “vibe coding”-style workflows that favor fast iteration, tight feedback loops, and continuous refactoring.\nProficiency in one or more backend languages commonly used for large-scale systems (e.g., Python, Java, Go, Scala).\nBachelor’s or master’s degree in computer science, Mathematics, or a related field, or equivalent practical experience.\nStaff-Level Expectations\nIn this role, you are expected to:\nBe a prolific, hands-on contributor who raises the bar through example.\nOwn and deeply understand large portions of the codebase and system architecture.\nSimplify complex systems to increase team velocity and reliability.\nBalance technical, analytical, and product constraints to deliver pragmatic solutions.\nSet short- to medium-term (6-12 month) technical direction for your domain. \nInfluence standards and architectural decisions across teams through credibility and collaboration.\nShip multiple large services, shared libraries, or major infrastructure improvements. \nWhy Join This Team\nBuild and operate mission-critical systems that power forecasting and recommendations at scale.\nWork in an environment that values execution, pragmatism, and modern engineering workflows.\nOperate at true Staff scope with real architectural ownership and hands-on impact.\nSolve hard systems problems with meaningful business outcomes.\nCompany Summary\nZeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.\nZeta Global is a leading AI-powered marketing technology company that enables enterprise brands to acquire, grow, and retain customers through intelligent, data-driven engagement. At the center of its innovation is the Zeta Marketing Platform (ZMP), which unifies customer data, identity, and advanced analytics to transform billions of data signals into actionable marketing intelligence and measurable business outcomes.\nPublicly traded on the New York Stock Exchange (NYSE: ZETA), Zeta is redefining modern marketing with Athena by Zeta™, a superintelligent, conversational agent embedded in ZMP that personalizes the marketer’s workspace, surfaces platform generated insights through natural dialogue and recommends next-best actions to help brands accelerate and optimize their marketing outcomes.","description_format":"text","description_chars":5912,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Automation","Email Marketing","Customer Data Platforms (CDP) & Reverse ETL"],"lifecycle":[{"event":"open","at":"2026-09-15T14:13:33Z"}],"visa":[],"liveness":{"score":79,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.883,"p_room":0.9,"age_days":50,"expected_fill_days":84,"reasons":["conf:2","velocity","win:mid"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/zeta-global-staff-software-engineer-2","json_url":"https://alion.io/job/zeta-global-staff-software-engineer-2.json","meta":{"generated_at":"2026-11-06T02:49:17Z","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":4821,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":5444},"rest":"https://alion.io/mcp/rest/get_company?id=5444"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzeta-global-staff-software-engineer-2"},{"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%2Fzeta-global-staff-software-engineer-2"},{"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%2Fzeta-global-staff-software-engineer-2"},{"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/zeta-global-staff-software-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzeta-global-staff-software-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":935322}},{"tool":"search_jobs","arguments":{"company":"zetaglobal.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":935322},"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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