{"id":52394,"url":"https://alion.io/job/pavago-head-of-engineering","title":"Head of Engineering","company":{"id":1117,"name":"Pavago","domain":"pavago.co","url":"https://alion.io/company/pavago","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":192,"ghost_share":0,"stale_share":0.984,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"US time zones","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["PK"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":76000,"max_usd":170000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3645},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ASP.NET Core","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Entity Framework Core","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"MySQL","optional":false},{"name":"Redis","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-18T16:09:17Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"Head of Engineering (.NET, AI/LLM & Distributed Systems) - Remote\nPosition Type: Full-Time, Remote\nWorking Hours: U.S. Business Hours\nLocation: Remote - Pakistan, LATAM & Eastern Europe Preferred\nAbout the Role\nWe’re hiring a highly technical, hands-on Head of Engineering to own the engineering function for a fast-growing SaaS platform.\nThis is not a purely managerial role. You’ll remain deeply involved in production engineering while leading a lean technical team and owning architecture, infrastructure, reliability, and engineering standards.\nYou’ll work across:\n.NET / C# backend engineering\nDistributed systems and microservices\nAI & LLM infrastructure\nDatabases and data pipelines\nDevOps, CI/CD and observability\nThird-party API integrations\nEngineering leadership and technical strategy\nIf you’re a senior engineering leader who still enjoys writing production code, solving difficult architecture problems, and owning systems end-to-end, this role is built for you.\nWhat You’ll Own\nBackend Engineering & Architecture\nDesign, build, and maintain scalable backend systems using:\n.NET 8.0\nC#\nASP.NET Core\nEntity Framework Core\nOwn architecture across 14+ independently deployed microservices\nApply Clean Architecture and Domain-Driven Design (DDD) principles\nShip new product capabilities while improving existing systems\nDiagnose and resolve performance bottlenecks\nImprove scalability, maintainability, and engineering standards\nMake pragmatic architectural decisions that balance speed with long-term reliability\nAI & LLM Systems\nDesign and operate production-grade AI/LLM pipelines\nManage workflows spanning multiple AI providers\nBuild scalable AI capabilities for:\nPersonalization\nSegmentation\nAutomation\nAI-assisted product features\nOptimize:\nPrompting\nOrchestration\nProvider routing\nFailover logic\nMonitor and improve:\nToken usage\nRate limits\nLatency\nReliability\nAI infrastructure costs\nIntroduce effective AI-assisted development workflows across engineering\nDatabases & Data Infrastructure\nManage production environments using:\nMySQL\nRedis\nMongoDB\nDesign and improve caching strategies\nSupport analytics pipelines and event-driven workflows\nManage high-volume and bulk data operations\nOptimize database schemas, indexing, and queries\nMaintain data consistency and performance across distributed services\nInfrastructure, DevOps & Reliability\nOwn Linux-based production infrastructure\nMaintain and improve CI/CD pipelines\nOversee deployments and release reliability\nImplement centralized:\nMonitoring\nLogging\nAlerting\nObservability\nIdentify infrastructure and scalability risks proactively\nImprove uptime, incident response, and deployment stability\nStrengthen engineering processes around production reliability\nAPIs, Integrations & Resilience\nOwn 25+ production third-party API integrations\nBuild resilient integration patterns including:\nRetry logic\nProvider failover\nGraceful degradation\nFallback strategies\nError handling\nProtect platform stability during third-party outages and degraded services\nImprove fault tolerance across external dependencies and distributed workflows\nEngineering Leadership\nLead and mentor a lean engineering team\nConduct meaningful code reviews and architecture reviews\nRemain hands-on with production code\nEstablish engineering standards for:\nCode quality\nDocumentation\nTesting\nDeployment\nArchitecture\nGuide developers through complex technical decisions\nCollaborate directly with founders and leadership on:\nProduct roadmap\nTechnical priorities\nArchitecture\nScalability\nEngineering investment\nBuild a culture centered on ownership, execution, and engineering quality\nWhat Makes You a Strong Fit\nYou’re a strong fit if you:\nAre an experienced engineering leader who still codes\nHave deep backend expertise in the Microsoft/.NET ecosystem\nHave designed and operated distributed production systems\nUnderstand how microservices behave under real-world scale and failure conditions\nHave hands-on experience building AI/LLM systems in production\nCan own infrastructure rather than treating DevOps as someone else’s responsibility\nThink proactively about reliability, scalability, and technical debt\nCan lead a small team without becoming disconnected from the codebase\nCommunicate technical tradeoffs clearly to founders and business leadership\nThrive in high-ownership startup environments\nRequired Experience & Skills\nCore Engineering\nDeep expertise with .NET 8.0, C#, ASP.NET Core and Entity Framework Core\nStrong distributed systems and microservices architecture experience\nProduction experience with MySQL, Redis and MongoDB\nExperience with event-driven and asynchronous systems\nStrong API architecture and integration experience\nExperience managing complex distributed workflows\nAI Engineering\nProven experience building and operating AI/LLM systems in production\nExperience integrating multiple AI/LLM providers\nUnderstanding of:\nPrompt orchestration\nRate limits\nFailover\nLatency\nCost optimization\nProduction reliability\nDevOps & Reliability\nHands-on experience with:\nLinux infrastructure\nCI/CD\nProduction deployments\nMonitoring\nLogging\nObservability\nStrong understanding of system scalability and reliability engineering\nLeadership\nExperience leading and mentoring software engineers\nStrong code-review and architecture-review capabilities\nAbility to own technical priorities and engineering execution\nExcellent written and spoken English\nAbility to work closely with non-technical leadership\nNice to Have\nStartup or high-growth SaaS experience\nExperience scaling AI-powered SaaS or automation platforms\nKubernetes\nDocker\nTerraform / Infrastructure as Code\nEvent streaming and high-throughput architectures\nAdvanced asynchronous processing experience\nAI inference and cost optimization experience\nExperience implementing AI-assisted engineering workflows\nWhat a Typical Day Looks Like\nYour day could include:\nWriting and reviewing production .NET/C# code\nMaking architectural decisions across microservices\nDebugging a production performance or reliability issue\nReviewing AI pipeline latency, cost, or provider performance\nHelping an engineer work through a complex implementation\nReviewing database or caching performance\nImproving monitoring and deployment workflows\nMeeting with founders on product and engineering priorities\nDesigning the architecture for an upcoming platform capability\nIn short: you own the technical foundation of the platform while keeping the engineering organization moving quickly and reliably.\nKey Metrics for Success\nPlatform uptime and system reliability\nBackend performance and scalability\nAI pipeline stability, latency, and cost efficiency\nDeployment success and engineering velocity\nReduction in production incidents\nCode quality and technical debt management\nReliability of third-party integrations\nTeam delivery consistency\nInfrastructure stability and observability\nWhy This Role Stands Out\nTrue technical ownership of a growing SaaS platform\nHands-on leadership rather than management-only work\nDirect influence over architecture and engineering strategy\nProduction exposure to AI/LLM systems at scale\nOwnership across backend, infrastructure, data, integrations, and reliability\nDirect collaboration with founders and leadership\nFully remote environment\nOpportunity to shape the engineering organization as the platform scales\nInterview Process\nInitial Screening Call\nTechnical Interview with Pavago Recruiter\nTechnical & Architecture Interview with Client\nFinal Leadership Interview\nOffer & Onboarding\nWhat Happens After You Apply\nRight after you apply, you’ll receive an email invitation from Spark Hire to record your Intro Video. It’s a short, self-recorded video completed on your own time and is the final step needed to complete your application.\nInstead of repeating your background across multiple screening calls, you get to introduce yourself once and give the hiring team a better sense of your experience and communication before the first interview.\nDon’t overthink it. You can record your responses multiple times, and discarded takes are not shared.\nPlease check both your inbox and spam folder for the Spark Hire invitation.\nApply Now\nIf you:\nHave deep .NET/C# backend engineering expertise\nHave built and scaled distributed systems and microservices\nHave real production experience with AI/LLM infrastructure\nEnjoy remaining hands-on while leading engineers\nWant end-to-end ownership of a growing SaaS platform\nWe’d love to hear from you.\n#HeadOfEngineering #DotNet #CSharp #ASPNetCore #AIEngineering #LLM #Microservices #DistributedSystems #SaaS #BackendEngineering #EngineeringLeadership #DevOps #RemoteEngineering #TechLeadership","description_format":"text","description_chars":8643,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Pakistan","iso":"PK","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","Employer of Record & PEO"],"lifecycle":[{"event":"open","at":"2026-08-11T00:00:00Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.446,"p_room":0.28,"age_days":67,"expected_fill_days":30,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/pavago-head-of-engineering","json_url":"https://alion.io/job/pavago-head-of-engineering.json","meta":{"generated_at":"2026-10-18T18:55:53Z","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":23297,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":1117},"rest":"https://alion.io/mcp/rest/get_company?id=1117"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpavago-head-of-engineering"},{"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%2Fpavago-head-of-engineering"},{"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%2Fpavago-head-of-engineering"},{"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/pavago-head-of-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpavago-head-of-engineering"}]}