No automated screening and no elimination tests — a person reads every application that arrives.
HCM & Da Nang · Full-Time · Competitive Build like a founder. Ship like Spartan. Our customers are scaling fast - and so are we. That’s why we’re looking for a Backend Engineer to join our world-class team. At Spartan, we don’t act like vendors. We embed with startups backed by YC, Pear VC, BlingCap ,a16z, Techstars , and more — partnering with founders and engineers from Stanford, MIT, Yale, Google, Amazon, Uber, and beyond. Together, we help launch MVPs in 30 days and scale systems that power billions of requests. This isn’t “just another backend role.” It’s a chance to work shoulder-to-shoulder with elite builders, solve complex startup challenges, and see your code directly drive companies raising millions on the global stage. You’ll also be working at the frontier of AI: 70% of our portfolio today is LLM-powered . Our engineers leverage the latest tools like Cursor, Claude, and Codex to move faster, write cleaner code, and solve harder problems. What You’ll Do Contribute to real production projects for US-based startups. Learn and build in one or more areas: Backend (APIs, databases, cloud infra, distributed systems) Frontend (React, TypeScript, Next.js, UI/UX) AI/LLM (RAG pipelines, vector DBs, evals, guardrails) DevOps/Infra (CI/CD, Kubernetes, observability) Ship features end-to-end with mentorship from senior Spartan engineers. Participate in our proven process : async standups, PRDs/RFCs, code reviews, testing. Experiment with AI-native tooling (Cursor, Claude, Codex) to boost your workflow. What We’re Looking For Strong English communication — you’ll collaborate directly with US-based teams. Pursuing a degree in Computer Science (or equivalent) OR recent graduate. Solid foundation in at least one area: algorithms, data structures, databases, or web dev. Familiarity with modern programming languages (TypeScript, Python, Go, Java/Kotlin, etc.). Curiosity and eagerness to learn fast — a builder’s mindset. Tech You’ll Touch (depending on your track) Go • Java/Kotlin/Scala • TypeScript • Python • Postgres • MongoDB • DynamoDB • ElasticSearch • Redis Pinecone • Qdrant • pgvector Kafka • Pulsar • SQS • AWS Kinesis • GCP Cloud Tasks AWS • GCP • Azure • Kubernetes (k8s) Spark • Flink Jenkins • GitHub Actions DataDog • Prometheus • Grafana • ELK Stack (Elasticsearch, Logstash, Kibana) Perks & Benefits 💻 Real startup experience - not classroom projects 🧑🏫 Mentorship from engineers who’ve scaled companies from 0 → IPO 🌍 Exposure to top-tier US startups (YC, a16z, Techstars, Pear VC) 🏝 Flexible hours + hybrid style 🎉 Team events and Spartan culture (monthly parties, annual trip) 🚀 Potential return offer for top performers Career Growth Work with founders from Stanford, MIT, Yale, Google, Amazon, Uber, and more . Exposure to cutting-edge tech (LLMs, AI agents, cloud infra, real-time systems). Transparent career path and mentorship from engineers who’ve taken 3 companies to IPO. Solve real startup challenges — every project feels like its own mini-startup. Why Spartan 50+ MVPs launched, 3 IPOs, $100M+ raised. 95% engineer retention — because we hire the top 1%. You’ll never just “take tickets” here. You’ll own problems, ship fast, and grow with the founders we partner with. Work Location HCM: 2nd Floor XL Building, 167 Tran Nao, An Khanh Ward Da Nang: 2nd Floor, 458 Nguyen Huu Tho, Cam Le Ward
Build like a founder. Ship like Spartan. Our customers are growing fast and so are we. We are looking for an iOS Engineer (Junior to Middle level) to join our team. At Spartan, we do not work like a typical outsourcing company. We embed directly with startups backed by YC, Pear VC, a16z, Techstars and others. You will work with founders and engineers from Stanford, MIT, Google, Amazon, Uber and more to help them launch MVPs quickly and scale real products. This role is a good fit if you are early in your iOS career but already care about building modern iOS apps. You will work on production features, learn from senior engineers, and see your code shipped to real users. Many of our products use AI heavily. Around 70% of our portfolio involves LLMs, and engineers at Spartan use tools like Cursor, Claude, and Codex to work faster and learn better. The Kind of People We Look For We are looking for people who enjoy building things. It does not matter whether you call it building a product or consulting. What matters is that you feel alive when something goes from nothing to real. We care about shipping, learning, fixing, and shipping again. If you feel uncomfortable when you are not building, you will probably feel at home here. We work closely and move fast. We value honesty, kindness, and transparency in how we work with each other. We expect people to speak up, defend their opinions, and fight for what they believe is right when it serves the common goal. At the same time, we know how to listen, align, and move forward together. We argue when needed, but we do not carry ego. When we win, we win together. When things go wrong, we take it together, fix it together, and still laugh after. What You Will Do Build and maintain modern iOS applications using Swift and SwiftUI Implement product features from design to production with guidance from senior engineers Participate in the full app lifecycle, including TestFlight, App Store submission, and handling Apple Review feedback Work closely with US startup founders, product managers, and designers Contribute to MVPs that go from idea to production in a short time Follow a structured delivery process including PRDs, async updates, and code reviews Apply best practices in SwiftUI, state management, and app architecture Use AI tools to reduce boilerplate and accelerate development Gradually take ownership of features and product quality What We Are Looking For Required Comfortable communicating in English 1 to 5 years of iOS development experience Solid knowledge of Swift Hands-on experience with SwiftUI Experience with SwiftUI state management and navigation ( @State , @Binding , ObservableObject , etc.) Experience with Swift Concurrency (async/await) or Combine Experience integrating REST APIs and handling JSON Understanding of: iOS app lifecycle Basic concurrency concepts State management principles App performance and responsiveness Ability to: Read and implement designs from Figma Apply basic UI/UX principles and follow Apple Human Interface Guidelines Strong learning mindset and eagerness to improve quickly Nice to Have Familiarity with MVVM or Clean Architecture Experience with Core Data or other local persistence solutions Experience with dependency injection Experience publishing or maintaining apps on the App Store Exposure to CI/CD tools such as Xcode Cloud, Fastlane, or GitHub Actions Basic testing experience Tech Stack iOS Swift SwiftUI Swift Concurrency (async/await) or Combine MVVM or Clean Architecture URLSession or Alamofire or Moya Backend and Infrastructure REST APIs or GraphQL Postgres, MongoDB, Redis AWS, GCP, Docker AI Tools Cursor, Claude, Codex Growth at Spartan Mentorship from senior iOS and fullstack engineers Clear growth path from Junior to Middle to Senior iOS Engineer Work on real startup products, not internal demos Learn modern iOS, product thinking, and AI assisted development Every project feels like a small startup Career Growth Work directly with founders from YC, Stanford, MIT, Yale, Google, Amazon, Uber, and more. Exposure to LLMs, AI agents, cloud infra, and real-time systems. Transparent career path and mentorship from engineers who’ve taken 3 companies to IPO. Every project feels like its own mini-startup. Why Spartan 50+ MVPs launched, 3 IPOs, $100M+ raised by the startups we build with. 95% engineer retention. People stay because the work is worth staying for. You build zero to one. Blank repo to live product in weeks. Most engineers get that chance once in a career. Here it’s the job. Your work is visible. What you ship this month is in a founder’s investor demo next month. No layers, no bureaucracy. You talk to the decision-maker directly, and decisions land in hours, not weeks. Every project is a new market, a new stack, a new problem. One year here teaches what three years elsewhere would. You’ll never just take tickets. You’ll own problems, ship fast, and grow with the founders we partner with. Benefits & Perks 💰 Competitive salary, 100% salary during probation 🏝 Unlimited PTO + public holidays 🩺 Premium healthcare insurance + annual health check ⚽ Sports clubs for every taste: football, badminton, billiards, pickleball 🎮 PS5 and Nintendo at the office 🏃 Strava yearly subscription 🏠 Hybrid working style, flexible hours ✈️ Annual company trip + monthly team parties 💻 MacBook provided 📜 Social insurance per Labor Law Work Location HCM: 2nd Floor XL Building, 167 Tran Nao, An Khanh Ward Da Nang: 2nd Floor, 458 Nguyen Huu Tho, Cam Le Ward
Spartan is a venture studio building and scaling zero-to-one startups alongside founders from VC (YC, PearVC, a16z, BlingCap), Stanford, Uber, and Amazon . Every project operates like a mini-startup: small teams, fast feedback loops, and high ownership. As a QA Intern , you'll work on real production products shipped to real users, learn directly from QA engineers who've shipped at startup speed, and get exposure to AI-native QA workflows that most QA teams aren't doing yet. 🛠️ What you'll do Hands-on Testing: Run functional, exploratory, and API testing on real products before they ship to users. Bug Hunting & Reporting: Investigate issues deeply, reproduce them reliably, and write bug reports clear enough that developers can fix without follow-up questions. Learn Risk-Based Thinking: Work alongside QA engineers to understand what to test, how much to test, and when a feature is good enough to ship. Collaborate Across the Team: Join standups, PRD reviews, and release calls. Ask questions, surface edge cases, and learn how startups make quality decisions in real time. Explore AI Testing: Get hands-on with modern tooling (LLM-assisted test generation, AI-powered exploratory testing) and contribute ideas on how we test AI features. ✅ What we're looking for Must-have Strong English communication (written and verbal) to work directly with international clients and founders. Foundational understanding of QA: test cases, bug life cycle, and core testing types (functional, regression, exploratory). A curious, detail-oriented mindset — you naturally notice when something feels off and want to dig in. A strong product mindset, comfortable operating without a perfect spec. Nice-to-have Hands-on experience with Jira, Notion, Postman , or basic SQL . Personal projects, coursework, or freelance work where you tested software (even informally). Familiarity with Playwright, Cypress, or Selenium basics. Interest in testing AI / LLM-powered features . Basic understanding of how web APIs, browsers, or mobile apps work under the hood. Tools you'll learn QA workflow: Jira • Notion • Postman • Basic SQL (MySQL) Testing: Functional • API • Exploratory • Cross-browser/device Automation basics: Playwright or Cypress AI-native QA: LLM-assisted test generation, evals, prompt regression Perks & benefits 💻 Real startup experience — not classroom projects 🧑🏫 Mentorship from QA engineers who've shipped at scale 🌍 Exposure to top-tier US startups (YC, a16z, Techstars, Pear VC) 💰 Competitive intern stipend 🏝️ Flexible hours + hybrid working style 🎉 Team events, monthly parties 🚀 Potential return offer as full-time QA Engineer for top performers Why Spartan 50+ MVPs launched, 3 IPOs, $100M+ raised. 95% engineer retention - because we hire the top 1%. You'll never just "take tickets" here. You'll own problems, ship fast, and grow alongside the founders we partner with. Every project feels like its own mini-startup. As an intern, you won't just learn how to test - you'll learn how founders think , how startups scale, and how QA shapes products that actually matter. Work location HCM: XL Building, 167 Tran Nao, An Khanh Ward
Build like a founder. Ship like Spartan. Our clients are startups in a race: an MVP in 30 days, one demo away from a funding round. We’re looking for a Backend Engineer to run that race with us. We don’t act like vendors. We embed. Our teams sit inside startups backed by YC, Pear VC, BlingCap, a16z, and Techstars, working beside founders and engineers from Stanford, MIT, Yale, Google, Amazon, and Uber. Together we ship those MVPs and scale the systems behind them to millions of users and billions of requests. This isn’t outsourcing where you sit three layers away from the client. You’ll be in the founder’s Slack. Your code runs their production. When their demo lands a funding round, that’s your work on the screen. 70% of our portfolio is LLM-powered. Cursor, Claude, and Codex are default tools here, not experiments. You’ll use AI every day, and you’ll be expected to use it well. Who Thrives at Spartan Not every environment fits everyone, so here’s an honest picture of the teammate we’re looking for. You’ll thrive here if: You do whatever it takes to win. Multiple hats, unglamorous work included. You take on the hardest part of the project and see it through to shipped. You pick up a new stack in days, not months, because the project needs it. You’d rather own a problem than a ticket. Some weeks will stretch you. That’s the job. But you’ll never carry it alone. A critical client release or a tricky production issue? Someone always has your back. We push each other hard because we care how far each of us can go. We win together. We lose together. Nobody gets left behind. One last thing. We’re not filling seats. We’re looking for teammates for the battles ahead. If you read all this and something in you said yes, trust that feeling and apply. We respect people who back themselves. Every Spartan here started with that same yes. What You’ll Do Design and build scalable microservices that power high-growth startups. Build LLM features end to end: RAG pipelines, vector search, agent workflows, evals. Keep AI running well in production: latency, token cost, guardrails, monitoring. Ship fast with a proven process: async standups, PRDs/RFCs, code reviews, and an AI-native workflow on Cursor, Claude, and Codex. Keep the bar high: clean code, testing, documentation, reliability. Talk directly with US startup founders and product leaders. Your input shapes their product. Wear more than one hat. Backend first, but you’ll touch infra, data, and AI integration when the project needs it. Help shape Spartan’s engineering culture. We work like founders, not contractors. What We’re Looking For Fluent English. You’ll talk directly with US startup founders. 2+ years of solid backend experience in any language. We mostly run Java, Kotlin, and TypeScript, but strong fundamentals and fast adaptation beat any specific stack. Strong CS fundamentals: algorithms, data structures, scalability. Experience with testing, dependency injection, and distributed systems. You use AI tools like a pro: you review what they write, catch their mistakes, and know when not to use them. A builder’s mindset. You don’t just code, you solve problems like an owner. Nice to Have You’ve shipped an LLM feature to production: RAG, agents, or direct model integration. You’ve built with agent tooling: MCP servers, LangGraph, or the Claude Agent SDK. You’ve run evals on an AI feature: Ragas, Promptfoo, LangSmith, or your own harness. Hands-on with vector databases: pgvector, Pinecone, Qdrant, Weaviate. Experience with Kafka or other event streaming systems. Tech We Use Every project brings a different stack, so in a year here you’ll touch more of this list than most engineers do in five. What we adopt is decided by our engineers through an internal Tech Radar, not handed down from a slide deck. Languages: Go · Java/Kotlin/Scala · TypeScript · Python Data: Postgres · MongoDB · DynamoDB · ElasticSearch · Redis LLM stack: Claude API · OpenAI API · MCP · LangGraph · LangSmith Vector search: pgvector · Pinecone · Qdrant · Weaviate Streaming: Kafka · Pulsar · SQS · AWS Kinesis · GCP Cloud Tasks Data processing: Spark · Flink Cloud: AWS · GCP · Azure · Kubernetes CI/CD: Jenkins · GitHub Actions Observability: DataDog · Prometheus · Grafana · ELK Stack AI tooling: Cursor · Claude · Codex Career Growth Work directly with founders from YC, Stanford, MIT, Yale, Google, Amazon, Uber, and more. Exposure to LLMs, AI agents, cloud infra, and real-time systems. Transparent career path and mentorship from engineers who’ve taken 3 companies to IPO. Every project feels like its own mini-startup. Why Spartan 50+ MVPs launched, 3 IPOs, $100M+ raised by the startups we build with. 95% engineer retention. People stay because the work is worth staying for. You build zero to one. Blank repo to live product in weeks. Most engineers get that chance once in a career. Here it’s the job. Your work is visible. What you ship this month is in a founder’s investor demo next month. No layers, no bureaucracy. You talk to the decision-maker directly, and decisions land in hours, not weeks. Every project is a new market, a new stack, a new problem. One year here teaches what three years elsewhere would. You’ll never just take tickets. You’ll own problems, ship fast, and grow with the founders we partner with. Benefits & Perks 💰 Competitive salary, 100% salary during probation 🏝 Unlimited PTO + public holidays 🩺 Premium healthcare insurance + annual health check ⚽ Sports clubs for every taste: football, badminton, billiards, pickleball 🎮 PS5 and Nintendo at the office 🏃 Strava yearly subscription 🏠 Hybrid working style, flexible hours ✈️ Annual company trip + monthly team parties 💻 MacBook provided 📜 Social insurance per Labor Law Work Location HCM: 2nd Floor XL Building, 167 Tran Nao, An Khanh Ward Da Nang: 2nd Floor, 458 Nguyen Huu Tho, Cam Le Ward
Build like a founder. Ship like Spartan. Our clients are startups in a race: an MVP in 30 days, real traffic the day after launch. We’re looking for a DevOps Engineer to keep them fast, up, and cheap to run. We don’t act like vendors. We embed. Our teams sit inside startups backed by YC, Pear VC, BlingCap, a16z, and Techstars, working beside founders and engineers from Stanford, MIT, Yale, Google, Amazon, and Uber. Together we ship those MVPs and scale the systems behind them to millions of users and billions of requests. This isn’t a back-office ops seat three layers from the client. You’ll be in the founder’s Slack. Your infrastructure runs their launch. When their product survives its first traffic spike, that’s your work holding it up. 70% of our portfolio is LLM-powered. That means real GPU workloads, real traffic spikes, and real cloud bills. You’ll design the infrastructure behind it. Cursor, Claude, and Codex are default tools here, and you’ll use them to automate the boring parts. Who Thrives at Spartan Not every environment fits everyone, so here’s an honest picture of the teammate we’re looking for. You’ll thrive here if: You do whatever it takes to win. Terraform today, debugging someone’s Node service tomorrow. You own an incident until it’s resolved, whether it started in your area or not. You treat cost like a feature. You can tell a founder why their bill dropped 40%. You automate the boring parts without being asked. Some weeks will stretch you. That’s the job. But you’ll never carry it alone. A critical incident or a high-stakes migration? You won’t be the only one on it. We push each other hard because we care how far each of us can go. We win together. We lose together. Nobody gets left behind. One last thing. We’re not filling seats. We’re looking for teammates for the battles ahead. If you read all this and something in you said yes, trust that feeling and apply. We respect people who back themselves. Every Spartan here started with that same yes. What You’ll Do Design and run multi-cluster, multi-cloud Kubernetes environments across AWS EKS, GCP GKE, and Azure AKS: highly available, disaster-resilient, auto-scaling. Build GitOps-driven CI/CD pipelines with ArgoCD or FluxCD. Tune performance, reliability, and cost. Every dollar saved is margin for the startup we serve. Run AI infrastructure: GPU workloads, model serving, vector databases, and the inference bills that come with them. Automate ops with AI: runbooks, incident summaries, IaC generation with Cursor and Claude. Secure workloads: RBAC, Network Policies, OPA/Gatekeeper, vulnerability scanning. Work with dev teams on containerization and app modernization. Mentor engineers on Kubernetes and infrastructure practices. Turn what you build into reusable accelerators: CI/CD templates, starter kits, monitoring setups that cut project startup time across clients. What We’re Looking For Fluent English. You’ll talk directly with US startup founders. 2-6 years in DevOps, SRE, or cloud infrastructure, with Kubernetes in production. Strong Infrastructure as Code: Terraform, Helm, Ansible. Deep knowledge of Docker/OCI runtimes, Linux, networking, and troubleshooting. Hands-on with monitoring stacks: DataDog, Prometheus, Grafana, ELK, Jaeger. Solid grasp of Kubernetes internals. You use AI tools like a pro: you review what they write, catch their mistakes, and know when not to use them. A builder’s mindset. You don’t just run infra, you solve problems like an owner. Nice to Have You’ve run LLM serving in production: vLLM, GPU scheduling, or managed inference endpoints. Backend engineering experience. CKA, CKAD, or CKS certifications. Service mesh: Istio, Linkerd, Consul. Open-source contributions to Kubernetes or CNCF projects. Cloud cost optimization wins you can put numbers on. Tech We Use Every project brings a different stack, so in a year here you’ll touch more of this list than most engineers do in five. Two rules hold everywhere: everything as code, no click-ops. And what we adopt is decided by our engineers through an internal Tech Radar, not handed down from a slide deck. Platform: Kubernetes (EKS · GKE · AKS) · Docker IaC & GitOps: Terraform · Helm · Ansible · ArgoCD · FluxCD CI/CD: GitHub Actions · Jenkins Observability: OpenTelemetry · Prometheus · Grafana · DataDog · ELK · Jaeger AI infra: vLLM · GPU workloads · pgvector · Qdrant Cloud & edge: AWS · GCP · Azure · Cloudflare AI tooling: Cursor · Claude · Codex Career Growth Work directly with founders from YC, Stanford, MIT, Yale, Google, Amazon, Uber, and more. Exposure to AI infrastructure: LLM serving, vector databases, GPU workloads. Transparent career path and mentorship from engineers who’ve taken 3 companies to IPO. Every project feels like its own mini-startup. Why Spartan 50+ MVPs launched, 3 IPOs, $100M+ raised by the startups we build with. 95% engineer retention. People stay because the work is worth staying for. You build zero to one. Empty cloud account to production infrastructure in weeks. Most engineers get that chance once in a career. Here it’s the job. Your work is visible. The infrastructure you build this month carries a founder’s launch next month. No layers, no bureaucracy. You talk to the decision-maker directly, and decisions land in hours, not weeks. Every project is a new cloud, a new stack, a new problem. One year here teaches what three years elsewhere would. You’ll never just take tickets. You’ll own problems, ship fast, and grow with the founders we partner with. Benefits & Perks 💰 Competitive salary, 100% salary during probation 🏝 Unlimited PTO + public holidays 🩺 Premium healthcare insurance + annual health check ⚽ Sports clubs for every taste: football, badminton, billiards, pickleball 🎮 PS5 and Nintendo at the office 🏃 Strava yearly subscription 🏠 Hybrid working style, flexible hours ✈️ Annual company trip + monthly team parties 💻 MacBook provided 📜 Social insurance per Labor Law Work Location HCM: 2nd Floor XL Building, 167 Tran Nao, An Khanh Ward Da Nang: 2nd Floor, 458 Nguyen Huu Tho, Cam Le Ward
Build like a founder. Ship like Spartan. Our clients are startups in a race: an MVP in 30 days, and billions of data points the year after. We're looking for a Data Engineer to build the platform that carries it. We don't act like vendors. We embed. Our teams sit inside startups backed by YC, Pear VC, BlingCap, a16z, and Techstars, working beside founders and engineers from Stanford, MIT, Yale, Google, Amazon, and Uber. Together we ship those MVPs and scale the systems behind them to millions of users and billions of requests. This isn't a batch-and-dashboards seat three layers from the client. You'll be in the founder's Slack. Your pipelines run in production. You'll own the data platform behind real-time operations, analytics, and AI, from ingestion all the way to serving. Data is the core of the job. Backend and infra come with it, because owning the path to production means you deploy your own work and build the services that hand data to the product. You don't need to arrive as an expert in all three. You do need to be willing to learn the other two. 70% of our portfolio is LLM-powered, and every one of those features runs on data someone had to make trustworthy first. That's your work. Cursor, Claude, and Codex are default tools here, not experiments. You'll use AI every day, and you'll be expected to use it well. Who Thrives at Spartan Not every environment fits everyone, so here's an honest picture of the teammate we're looking for. You'll thrive here if: You do whatever it takes to win. A schema redesign today, a backfill script and a founder demo tomorrow. You take on the hardest part of the project and see it through to shipped. You chase a wrong number until you find where it broke. Silent bad data bothers you more than a loud outage. You'd rather own a problem than a ticket. Some weeks will stretch you. That's the job. But you'll never carry it alone. A critical client release or a tricky production issue? Someone always has your back. We push each other hard because we care how far each of us can go. We win together. We lose together. Nobody gets left behind. One last thing. We're not filling seats. We're looking for teammates for the battles ahead. If you read all this and something in you said yes, trust that feeling and apply. We respect people who back themselves. Every Spartan here started with that same yes. What You'll Do Build ingestion for operational, telemetry, and business data: ETL and ELT, incremental loads, CDC, backfills that don't take the system down. Model data for how it gets used: event schemas upstream, star schemas and marts downstream. Build streaming pipelines that land data in near real time: windowed aggregations, stream joins, late and duplicate events, exactly-once writes to the sink. Own data infrastructure end to end: ingestion, processing, storage, serving. Own data quality: contracts, schema changes, lineage, and alerts that fire before a founder spots a wrong number. Build the data layer behind AI features: feature pipelines, embeddings and vector stores, RAG source data, eval datasets. Build the serving layer: APIs and services that expose metrics, aggregates, and feature data to product teams. Ship fast with a proven process: async standups, PRDs/RFCs, code reviews, and an AI-native workflow on Cursor, Claude, and Codex. Talk directly with US startup founders and product leaders. Your input shapes what gets measured and what gets built. Wear more than one hat. Data first, but you'll touch backend, infra, and AI integration when the project needs it. Help shape Spartan's engineering culture. We work like founders, not contractors. Your Skills and Experience Fluent English. You'll talk directly with US startup founders. 3+ years building and running production data pipelines: ingestion, ETL and ELT, incremental loads, backfills, and a plan for when a run fails halfway through. Data modeling you can defend: normalized schemas for OLTP, dimensional models for analytics (star schema, fact and dimension tables, slowly changing dimensions), and a reason for when you denormalize instead. Strong SQL. You can read a query plan and know why the job got slow. You've run pipelines on an orchestrator in production: Airflow, Dagster, Prefect, or similar. Scheduling, dependencies, retries, idempotent reruns. Strong coding skills in Python, Java, Kotlin, or similar. You write tested, reviewable code, not one-off scripts. Hands-on with streaming data in production: Kafka, Pulsar, Kinesis, or similar. You've dealt with consumer lag, replays, and duplicate events. Comfortable in the cloud. You deploy and debug your own pipelines on AWS, and Terraform or a Kubernetes manifest doesn't scare you. Strong CS fundamentals: distributed systems, partitioning, and what breaks when the data outgrows one machine. You use AI tools like a pro: you review what they write, catch their mistakes, and know when not to use them. A builder's mindset. You don't just move data; you build platforms that make data useful. Nice to Have Stream processing in production: Flink, Spark, or Kafka Streams. Warehouse and lakehouse work: dbt, Iceberg or Delta, or a real-time OLAP store like ClickHouse or Druid. Durable execution for long-running workflows: Temporal or similar. IoT or telemetry data at scale: high-volume ingest, late and out-of-order events, device fleets. ML or LLM infrastructure: feature stores, vector databases, training or eval data pipelines. You've built an internal data platform from scratch. Domain experience in rideshare, logistics, mobility, transportation, or another data-heavy vertical. Tech We Use Every project brings a different stack, so in a year here you'll touch more of this list than most engineers do in five. What we adopt is decided by our engineers through an internal Tech Radar, not handed down from a slide deck. Languages: Kotlin/Java · Python · SQL Streaming: Kafka · Pulsar · AWS Kinesis · SQS Processing: Flink · Spark Orchestration: Airflow · Temporal (durable execution) Storage: PostgreSQL · Aurora · Redis · S3 Warehouse & analytics: Redshift · BigQuery · ClickHouse Data serving: REST APIs · event-driven architecture Vector search: pgvector · Pinecone · Qdrant · Weaviate Cloud: AWS (EKS, S3, RDS) · Kubernetes · Docker · Terraform · CI/CD Observability: DataDog · Prometheus · Grafana · ELK Stack AI tooling: Cursor · Claude · Codex · Gemini Why You'll Love Working Here Career Growth Work directly with founders from YC, Stanford, MIT, Yale, Google, Amazon, Uber, and more. Exposure to streaming, real-time systems, AI infrastructure, and cloud at scale. Transparent career path and mentorship from engineers who've taken 3 companies to IPO. Every project feels like its own mini-startup. Why Spartan 50+ MVPs launched, 3 IPOs, $100M+ raised by the startups we build with. 95% engineer retention. People stay because the work is worth staying for. You build zero to one. First event ingested to a live data platform in weeks. Most engineers get that chance once in a career. Here it's the job. Your work is visible. The pipeline you build this month is the number in a founder's investor deck next month. No layers, no bureaucracy. You talk to the decision-maker directly, and decisions land in hours, not weeks. Every project is a new market, a new stack, a new problem. One year here teaches what three years elsewhere would. You'll never just take tickets. You'll own problems, ship fast, and grow with the founders we partner with. Benefits & Perks 💰 Competitive salary, 100% salary during probation 🏝 Unlimited PTO + public holidays 🩺 Premium healthcare insurance + annual health check ⚽ Sports clubs for every taste: football, badminton, billiards, pickleball 🎮 PS5 and Nintendo at the office 🏃 Strava yearly subscription 🏠 Hybrid working style, flexible hours ✈️ Annual company trip + monthly team parties 💻 MacBook provided 📜 Social insurance per Labor Law Work Location HCM: 2nd Floor XL Building, 167 Tran Nao, An Khanh Ward Da Nang: 2nd Floor, 458 Nguyen Huu Tho, Cam Le Ward
Build like a founder. Ship like Spartan. Our clients are startups in a race: an MVP in 30 days, and billions of data points the year after. We're looking for a Data Engineer to build the platform that carries it. We don't act like vendors. We embed. Our teams sit inside startups backed by YC, Pear VC, BlingCap, a16z, and Techstars, working beside founders and engineers from Stanford, MIT, Yale, Google, Amazon, and Uber. Together we ship those MVPs and scale the systems behind them to millions of users and billions of requests. This isn't a batch-and-dashboards seat three layers from the client. You'll be in the founder's Slack. Your pipelines run in production. You'll own the data platform behind real-time operations, analytics, and AI, from ingestion all the way to serving. 70% of our portfolio is LLM-powered, and every one of those features runs on data someone had to make trustworthy first. That's your work. Cursor, Claude, and Codex are default tools here, not experiments. You'll use AI every day, and you'll be expected to use it well. What you'll do Shape Requirements : Partner with founders and engineers to review PRDs and designs. Catch edge cases and missing requirements before code is written. Hands-on Execution: Perform functional, API, exploratory, and cross-browser/device testing. Risk-Based Decisions : Decide what to test deeply and what to smoke test based on risk and timeline. Not everything needs full regression. Process Calibration: Help set up and evolve QA workflows tailored to the product's current stage (from MVP to scale-up). Smart Automation : Set up and maintain automation for repetitive test flows. Use AI tools (Claude, Cursor) daily to generate test data and speed up testing Direct Client Work : Work directly with founders and founding engineers. No layers between you and the client Cross-Project Delivery : Switch between projects as client needs change. Onboard new codebases, new domains, new teams quickly. What we're looking for Must-have 2+ years of QA experience in fast-moving environments where requirements shift quickly. Strong English communication (written and verbal). You'll work directly with US startup founders and international clients daily. Solid skills in functional, API, SQL, exploratory, and cross-browser testing. Comfortable operating without a perfect spec. You ask the right questions and figure out what to test. A product mindset. You care whether users have a good experience, not just whether test cases pass. Comfortable switching projects. This quarter fintech, next quarter healthcare. That's us Nice-to-have Experience testing AI/LLM-powered features (prompt regression, evals). Automation skills (Playwright, Cypress, or similar). Experience defining acceptance criteria when specs are incomplete. Experience working across multiple projects or domains. What we don't expect People who only feel comfortable with detailed 50-page requirement docs, fixed release calendars, and corporate approval processes. Career Growth Work directly with founders from YC, Stanford, MIT, Yale, Google, Amazon, Uber, and more. Exposure to streaming, real-time systems, AI infrastructure, and cloud at scale. Transparent career path and mentorship from engineers who've taken 3 companies to IPO. Every project feels like its own mini-startup. One year here teaches what three years elsewhere would. Why Spartan 50+ MVPs launched, 3 IPOs, $100M+ raised by the startups we build with. 95% engineer retention. People stay because the work is worth staying for. You build zero to one. First event ingested to a live data platform in weeks. Most engineers get that chance once in a career. Here it's the job. Your work is visible. The pipeline you build this month is the number in a founder's investor deck next month. No layers, no bureaucracy. You talk to the decision-maker directly, and decisions land in hours, not weeks. Every project is a new market, a new stack, a new problem. One year here teaches what three years elsewhere would. You'll never just take tickets. You'll own problems, ship fast, and grow with the founders we partner with. Benefits & Perks 💰 Competitive salary, 100% salary during probation 🏝 Unlimited PTO + public holidays 🩺 Premium healthcare insurance + annual health check ⚽ Sports clubs for every taste: football, badminton, billiards, pickleball 🎮 PS5 and Nintendo at the office 🏃 Strava yearly subscription 🏠 Hybrid working style, flexible hours ✈️ Annual company trip + monthly team parties 💻 MacBook provided 📜 Social insurance per Labor Law Work Location HCM: 2nd Floor XL Building, 167 Tran Nao, An Khanh Ward
Build like a founder. Ship like Spartan. Our clients are startups in a race: an MVP in 30 days, one demo away from a funding round. We’re looking for a Technical PM to run that race and keep every piece on track. We don’t act like vendors. We embed. Our teams sit inside startups backed by YC, Pear VC, BlingCap, a16z, and Techstars, working beside founders and engineers from Stanford, MIT, Yale, Google, Amazon, and Uber. Together we ship those MVPs and scale the systems behind them to millions of users and billions of requests. This isn’t a ticket-pushing PM role. You are the person a US founder calls when they need the truth about their product. You own scope, timeline, quality, and the client relationship. The engineers build. You make sure the right thing ships, on time, and the client knows exactly where things stand. And the Technical in the title is real: you read the architecture, question the estimates, and hold your own in an engineering discussion. 70% of our portfolio is LLM-powered. You’ll scope AI features, plan around model risk, and use Cursor and Claude yourself to write specs and plans faster. Who Thrives at Spartan Not every environment fits everyone, so here’s an honest picture of the teammate we’re looking for. You’ll thrive here if: You own the outcome: scope, timeline, quality, and the relationship. You’re technical enough that engineers can’t hand-wave you, and clear enough that founders never feel lost. You can tell a founder no, with a reason and a plan. You wear many hats without being asked: PM today, BA tomorrow, QA on release day. You step into an at-risk project and bring it back to green. Some weeks will stretch you. That’s the job. But you’ll never carry it alone. A critical client release or a hard founder conversation? The team is right there with you. We push each other hard because we care how far each of us can go. We win together. We lose together. Nobody gets left behind. One last thing. We’re not filling seats. We’re looking for teammates for the battles ahead. If you read all this and something in you said yes, trust that feeling and apply. We respect people who back themselves. Every Spartan here started with that same yes. What You’ll Do Own delivery of client engagements end to end: scope, estimate, timeline, quality. Be the daily voice to US startup founders. Run async standups, write sharp status updates, deliver bad news early and with a plan. Turn vague founder ideas into PRDs and RFCs the team can ship in 30 days. Scope AI features with clear eyes: what the model can do today, what needs a spike, and how to demo it honestly. Plan AI work differently: prototype first, define evals early, budget for iteration. Read the tech. Challenge estimates. Discuss architecture trade-offs with your Team Lead, then explain them to the founder in business language. Track project health (Green / Yellow / Red), raise risks before they blow up, escalate with options, not problems. Run the delivery process: sprints, code review SLAs, release plans, demos. Support pre-sales: feasibility checks and estimates for new deals. Wear whatever hat the project needs to win. What We’re Looking For Fluent English, spoken and written. You talk to US founders every day. An engineering background. You’ve written production code, or worked close enough to it that a padded estimate can’t get past you. 3+ years running software delivery at an agency, consulting firm, or startup. That means you owned the projects, not just attended the standups. You’ve told a client something they didn’t want to hear, and kept the contract. You can persuade a non-technical founder to invest two sprints in tech debt, in their language, not jargon. You work AI-native: Cursor, Claude, Codex. You use AI to plan, write, and move faster. An owner’s mindset. You own outcomes, not tickets. Nice to Have Experience shipping LLM-powered products. Experience with US or other Western clients. Hands-on backend or frontend experience you can still use in a pinch. Tools We Use Notion · Slack · Linear · Jira · GitHub · Figma Cursor · Claude · Codex Career Growth Work directly with founders from YC, Stanford, MIT, Yale, Google, Amazon, Uber, and more. Exposure to how AI products get scoped, built, and launched across many startup domains. Transparent career path and mentorship from engineers who’ve taken 3 companies to IPO. Every project feels like its own mini-startup. Why Spartan 50+ MVPs launched, 3 IPOs, $100M+ raised by the startups we build with. 95% engineer retention. People stay because the work is worth staying for. You take products zero to one. From a founder’s idea to a live launch in weeks. Most PMs get that chance once in a career. Here it’s the job. Your work is visible. The product you run this month is in a founder’s investor demo next month. No layers, no bureaucracy. You talk to the decision-maker directly, and decisions land in hours, not weeks. Every project is a new market, a new team, a new problem. One year here teaches what three years elsewhere would. You’ll never just take tickets. You’ll own problems, ship fast, and grow with the founders we partner with. Benefits & Perks 💰 Competitive salary, 100% salary during probation 🏝 Unlimited PTO + public holidays 🩺 Premium healthcare insurance + annual health check ⚽ Sports clubs for every taste: football, badminton, billiards, pickleball 🎮 PS5 and Nintendo at the office 🏃 Strava yearly subscription 🏠 Hybrid working style, flexible hours ✈️ Annual company trip + monthly team parties 💻 MacBook provided 📜 Social insurance per Labor Law Work Location HCM: 2nd Floor XL Building, 167 Tran Nao, An Khanh Ward