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Resource augmentationAWS + AzureClient story

SaaS company

A flexible cloud engineering team that scaled with a fast-growing SaaS business

DevOps TechLab placed a four-engineer AWS, Azure, DevOps and cloud support team with a high-growth SaaS company for 12 months, used as the workload needed, without a large increase in permanent headcount.

By Janak Thakkar, Founder & CEO, DevOps TechLabSoftware & SaaS3 min read
In short

A fast-growing SaaS company, not named at its request, ran several cloud environments and customer workloads on AWS and Azure. DevOps TechLab provided a flexible four-person team of AWS, Azure, DevOps and cloud support engineers for 12 months. Engineers were used as the workload needed, adding capacity without a long-term headcount commitment.

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Executive summary

A fast-growing SaaS company was managing several cloud environments and customer workloads at once, and needed engineering capacity quickly without growing permanent headcount much. DevOps TechLab deployed a flexible four-member cloud engineering team that worked as an extension of the client’s engineering team for 12 months, with engineers used as the workload required.

Client
High-growth SaaS and software company (not named at its request)
Business problem
The company was growing fast and needed more engineering capacity while managing several cloud environments and customer workloads.
Team placed
4 engineers: AWS Cloud Engineer, Azure Cloud Engineer, DevOps Engineer, Cloud Support Engineer
Engagement
12 months · Flexible
Cloud
AWS and Microsoft Azure

The team we placed

  • Engineers4
  • Length12 months
  • ModelFlexible
  • SkillsAWS + Azure + DevOps + Cloud support
  • AWS Cloud Engineer
  • Azure Cloud Engineer
  • DevOps Engineer
  • Cloud Support Engineer

The business challenge

The company was growing fast and needed more engineering capacity while managing several cloud environments and customer workloads. It needed people quickly, without a large increase in permanent headcount.

Why it mattered

  • Growth outpaced hiring

    Customer and workload growth needed more engineers than hiring could deliver.

  • Several environments to run

    Multiple cloud environments and customer workloads had to be supported at once.

  • Headcount discipline

    The business did not want a large increase in permanent headcount.

  • Two clouds, one team

    The work spanned both AWS and Azure.

What the client set out to achieve

  1. Add experienced engineering capacity quickly.
  2. Avoid a long permanent-hiring process.
  3. Cover the cloud and DevOps skills the internal team lacked.
  4. Work as part of the existing team, not a separate project.
  5. Scale the team up or down with the work.

The solution: engineers who join your team

DevOps TechLab deployed a flexible four-member cloud engineering team that worked as an extension of the client’s engineering team. The engagement was built around the client’s workload, so engineers were used as needed.

What the team handled

  • AWS and Azure infrastructure

    AWS and Azure cloud infrastructure and application environment support.

  • DevOps and releases

    DevOps, CI/CD and production deployments.

  • Monitoring and incidents

    Cloud monitoring, infrastructure troubleshooting and technical incident resolution.

  • Resilience and performance

    Backup and recovery support and performance optimisation.

How the engagement worked

  1. 01Understand the need

    Agreed the skills, seniority and length of engagement with the client’s technology leaders.

  2. 02Place the team

    Provided 4 experienced engineers matched to the work.

  3. 03Work as one team

    The engineers joined the client’s existing team, its tools and its ways of working.

  4. 04Adjust over time

    Capacity was flexed to the client’s project requirements.

Business outcomes

The client gained the engineering capacity it needed, when it needed it, without adding permanent headcount.

  • Rapid access to specialised talent

    Cloud engineers joined without a hiring cycle.

  • More development and infrastructure capacity

    The team could take on more work across both clouds.

  • Faster delivery of cloud and DevOps initiatives

    Projects moved faster with the right skills in place.

  • Improved production support

    Monitoring, troubleshooting and incident resolution were strengthened.

  • Flexible capacity, no long-term commitment

    Less recruitment and onboarding overhead, with no long-term headcount commitment.

What’s next

Resource augmentation lets technology leaders add skills for exactly as long as they need them. DevOps TechLab can extend, reduce or change the team as priorities change.

About DevOps TechLab

DevOps TechLab provides certified AWS, Azure and DevOps engineers who work as an extension of your team, backed by 30+ certified cloud engineers and 265+ cloud environments under management. We are an AWS Advanced Tier Services Partner and a Microsoft Solutions Partner for Cloud and AI Platforms.

Need engineering capacity without the hiring delay?

Tell us the skills you need and for how long. We will suggest a team that can start working alongside yours.

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FAQ

Questions about an on-demand cloud team for SaaS

Four engineers for 12 months: one AWS Cloud Engineer, one Azure Cloud Engineer, one DevOps Engineer and one Cloud Support Engineer. The model was flexible, built around the client's workload.

AWS and Azure cloud infrastructure, DevOps and CI/CD, production deployments and cloud monitoring. They also covered infrastructure troubleshooting, application environment support, backup and recovery support, performance optimisation and technical incident resolution.

The four-member team worked as an extension of the client's engineering team. The engagement was built around the client's workload, so engineers were used as needed rather than at a fixed level.

It was growing fast and managing several cloud environments and customer workloads at once. It needed people quickly, without a large increase in permanent headcount.

Rapid access to specialised cloud talent, more development and infrastructure capacity, and faster delivery of cloud and DevOps initiatives. Production support improved, and recruitment and onboarding overhead fell.

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