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EndorsedendorsedOngoing

Ongoing DevOps & App Development for Software Intelligence Company

Services Covered:

Custom Software Development • Mobile Application Development
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Industry
Industry

Software Development

Duration
Duration

20 months

Budget
Budget

200K - 999K

Start Date
Start Date

1 October 2019

Team Size
Team Size

30+

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable Algoworks is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

mapSanta Barbara, United States of America

Project Summary

Algoworks has provided DevOps software engineers and app developers to a software intelligence company since October 2019, supporting maintenance and new-feature development. The vendor worked with a broad set of technologies, including Python, PHP, Node.js, React, Salesforce and Docker, and has integrated its resources into the client's teams and tooling. The client reports strong technical skills, honesty, and good value, and has spent roughly $700k–$800k over the engagement.

Key Challenges

  • Significant turnover in the client's engineering team
  • Need to maintain existing systems and ensure "lights on" maintenance
  • Requirement to supplement engineering capacity to develop new features
  • Tight budget constraints driving the need for lower-cost, offshore talent

Project Deliverables

  • DevOps and software engineering resources
  • Salesforce expertise and updates to the client's app
  • QA automation deliverables
  • Containerized (Docker) cloud deployments
  • Integration with client tooling (Confluence, Jira, GitHub, Slack)

Project Solution

Algoworks supplied DevOps-focused software engineers and app developers to supplement the client's engineering team and to maintain and evolve their application. The vendor worked across technologies such as Python, PHP, Node.js, React and Salesforce and employed QA automation and containerization (Docker) for cloud deployments. Resources were integrated into the client's teams and workflows (Confluence, Jira, GitHub, Slack), and Algoworks handled knowledge transfer and staff replacement as turnover occurred. The engagement began with a trial and expanded to include multiple roles and technologies.

Project Outcome

  • Client leadership was impressed with the team's technical skills
  • One Algoworks resource became the client's primary go-to engineer
  • Vendor resources were fully integrated into client tooling and processes (Confluence, Jira, GitHub, Slack)
  • The team provided good value and maintained delivery despite turnover through knowledge transfer

Platforms

  • CloudCloud

Tech Stack

  • PythonPython
  • PHPPHP
  • Node.jsNode.js
  • React.jsReact.js
  • DockerDocker
  • GitHubGitHub

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The client is impressed with Algoworks engineers’ skills, and they’ve become their to-go development source thanks to their expertise. The team has integrated seamlessly with the client, and they’ve shown honesty and integrity. Clients can expect quality resources and great value for their money.”

Anonymous

VP of Software Engineering

Note: This endorsement is based on publicly available client feedback from external review sources.

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