--- title: "Offshore Software Teams for SaaS and Technology Companies" description: "Roadmaps outgrow the team that has to ship them. Hire an offshore software team for SaaS and technology, with dedicated engineers who learn your product." url: "https://azendo.co/industries/saas-and-technology/" --- 1. [Home](https://azendo.co/) 2. [Industries](https://azendo.co/industries/) 3. SaaS and technology # Software development for SaaS and technology companies. SaaS companies rarely have a shortage of ideas. They have a shortage of people to build them, and a platform that gets less attention than new features, because features are what customers see. 4 weeks Time to hire a dedicated team, from signing Every Friday You score our delivery in a short survey Your repos Work happens inside your existing codebase 1 lead One service delivery manager across every specialist assigned Send us a message Tell us where your team is stretched. We'll reply with what we'd deliver and what it takes. ## Feature velocity when a SaaS product outgrows its team. Your dedicated offshore team works on both: features from your backlog, and the reliability work underneath that tends to get pushed back until something breaks. The pattern we see most often in SaaS is a release plan sized for a team that has not been hired yet. Feature commitments made to customers, a platform quietly accruing debt, and an engineering lead spending more time recruiting than building. Assigned capacity addresses the third problem as much as the first two. Because we handle selection and management, your lead stops running a hiring process and goes back to engineering. Where the scope spans several service areas at once, that capacity is normally set up as a [dedicated software development team](https://azendo.co/services/dedicated-software-development-team/) under one agreement. When release confidence is the bottleneck, a [dedicated QA and testing team](https://azendo.co/services/dedicated-qa-and-testing-team/) is usually the most useful first addition. Engineers assigned to SaaS partners work from our offices in Chiang Mai and Bangkok, inside the partner's own tools. We fix this by adding the engineer your backlog is waiting for, working inside your team from the first sprint. ## Mapped to what slows SaaS development down. Each of these ties to one service area, so scoping starts from the bottleneck you have. Two or three of them often sit under one agreement, and the broadest of the four is [software development outsourcing](https://azendo.co/blog/engagement-models/software-development-outsourcing/). [Feature velocity slowing down → Software development](https://azendo.co/services/dedicated-software-development-team/)[Releases getting riskier as you ship faster → QA and test automation](https://azendo.co/services/dedicated-qa-and-testing-team/)[Infrastructure straining as signups grow → Cloud and DevOps](https://azendo.co/services/dedicated-cloud-and-devops-team/)[Customers asking about AI features → AI engineering](https://azendo.co/services/dedicated-ai-engineering-team/) ## Day-one fluency in how SaaS products are built. Engineers are matched to your exact stack at scoping. These are the ones we see most often in SaaS codebases. If your product runs on something else, we'll find the right people: the list shows what's common. * [React](https://azendo.co/skills/react/) * [Next.js](https://azendo.co/skills/nextjs/) * [Node.js](https://azendo.co/skills/nodejs/) * [Python](https://azendo.co/skills/python/) * [PostgreSQL](https://azendo.co/skills/postgresql/) * [Multi-tenant architecture](https://azendo.co/skills/multi-tenant-architecture/) * [Stripe billing](https://azendo.co/skills/stripe-billing/) * [Kubernetes](https://azendo.co/skills/kubernetes/) * [Feature flags](https://azendo.co/skills/feature-flags/) * [CI/CD pipelines](https://azendo.co/skills/ci-cd-pipelines/) * \+ more on request ## Four points where SaaS teams call us. There's no wrong stage to start a conversation. Knowing which of these describes you helps us scope the right role and level from the first call, instead of guessing at the brief. Some partners move straight from stage one to a full assigned team; others add one specialist to close a single gap and stop there. Every team is [staff augmentation](https://azendo.co/blog/engagement-models/staff-augmentation/) delivered as a fully managed service: the specialists are ours, assigned to you full time, with delivery management, training, the workplace and HR included. Founder-built MVP The product works, but one or two people are the entire engineering team. Stretched across product work and support Customer issues and new features compete for the same small team's time. Velocity slowing as the codebase grows Technical debt and test gaps start showing up in every sprint estimate. Azendo adds delivery capacity on an agreement A developer or two, assigned under one agreement, working inside your existing team. ## Questions SaaS teams ask us first. Most of these come up before a contract is even discussed, because architecture and compliance concerns tend to surface before commercial ones. If your question isn't answered here, ask at scoping and we'll cover it before you sign. Can a specialist work inside our existing multi-tenant architecture? Yes. Architecture and scope are reviewed before assignment, so the person we assign is productive inside your existing patterns from the first sprint. The review covers how tenants are isolated, how data is partitioned and where shared and tenant-specific code sit. If the architecture is mid-migration or has known rough edges, tell us at scoping and we'll plan around it. Can you work within our security and compliance requirements? Yes. The engineers on your team work inside the access controls, audit requirements and review processes your compliance programme already sets. That includes signing your access agreements, using your identity and permissions setup, and keeping the evidence your auditors expect, such as review trails, deployment logs and ticket history, exactly where you already keep it. We want to ship one AI feature, not build an AI team. Does that work? Yes. An AI engineer joins your team full time and starts with that one feature, scoped from the outcome you want, such as a support deflection rate or better search relevance, then evaluated and shipped. A shipped AI feature needs evaluation and tuning for as long as it runs, so the same engineer keeps it sharp and picks up the next AI work in your backlog. Our plans shift monthly. Can the team grow with them? Yes. If a launch pulls forward and you need another engineer, that's a conversation with your service delivery manager, not a new procurement process. The team itself is built to stay, because the people who know your product are the ones who keep it moving. A SaaS product rarely needs just one kind of engineer. These are the service lines that show up alongside the capacity described above, and each can be added to the same agreement, with the same service delivery manager as your contact. Companies that [hire remote developers](https://azendo.co/hire-a-dedicated-development-team-in-thailand/) this way keep one team and one invoice. [Software development](https://azendo.co/services/dedicated-software-development-team/)[AI engineering](https://azendo.co/services/dedicated-ai-engineering-team/)[Cloud and DevOps](https://azendo.co/services/dedicated-cloud-and-devops-team/)[QA and test automation](https://azendo.co/services/dedicated-qa-and-testing-team/) ## Tell us where your SaaS team is stretched. Thirty minutes with a service delivery manager. You'll leave with a clear picture of the team you'd need, what it would deliver and how we would hire it in four weeks. [Get in touch](https://azendo.co/get-in-touch/)