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Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.
I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.
Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.
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AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.
Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.
I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.
Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.
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Frequently Asked Questions
Everything you need to know about working with SoftDoes. Can’t find an answer?
How long does it typically take to hire developers with proven Google Apps Script expertise?
Through traditional recruiting, hiring a senior Google Apps Script engineer often takes several weeks to a few months, because the skill is niche and many applicants only have light macro experience. Each round of screening and interviews adds time and pulls your own engineers away from their work. With a pre vetted talent partner like SoftDoes, the timeline is much shorter, since candidates have already passed technical assessments on real Workspace problems. In many cases, you can review matched profiles within days and have an engineer onboarded shortly after, depending on how quickly your team can complete interviews and grant access.
What does it cost to hire a developer or team with deep Google Apps Script expertise?
Cost depends on seniority, scope, engagement length, and whether you need a single specialist or a full pod with review and delivery support. A mid level developer handling scheduled reports costs less than a senior engineer designing governed add ons, external integrations, and Cloud migrations. In house hires also carry recruiting fees, benefits, equipment, and the cost of a slow ramp. A dedicated remote engineer or pod through SoftDoes bundles vetting, replacement guarantees, and team support into a predictable rate. The best way to get an accurate figure is a short discovery call where we review your workflows and recommend a fitting model.
What engagement models are available for Google Apps Script projects, such as a dedicated hire, a pod, or a contract?
SoftDoes offers flexible models that match how your automation needs evolve. A dedicated engineer works as part of your team full time, which suits companies with a steady backlog of Workspace workflows and integrations. A pod combines a senior Apps Script engineer with reviewers, a delivery lead, and optional Cloud or frontend skills, which fits larger programs or migrations. A project based contract works well for a clearly scoped deliverable, such as building an add on or rebuilding fragile reporting. You can start with one model and move to another as priorities shift, without restarting the hiring process from scratch.
How do you ensure time zone alignment with a team skilled in Google Apps Script?
SoftDoes focuses on clients across the US and Canada, so we match engineers whose working hours overlap meaningfully with your core business day. That overlap matters for Apps Script work, because automations often support operations, finance, and sales teams who need quick answers when a workflow behaves unexpectedly. We agree on shared hours, communication channels, and response expectations at the start of every engagement. Engineers join your standups, planning sessions, and reviews, and they document their work so asynchronous handoffs stay clear. If your team spans several time zones, we plan coverage so critical automations always have someone available.
How does SoftDoes technically vet developers for Google Apps Script expertise?
Our vetting goes well beyond checking whether a candidate has used the script editor. Engineers walk through architectural decisions, such as choosing between container bound and standalone scripts, or between simple and installable triggers. They complete practical tasks that expose real constraints, including large Sheet datasets that require batching, long jobs that need continuation patterns, and integrations that must handle unreliable APIs. We review how they store secrets, scope OAuth permissions, and use tools like clasp, TypeScript, and Git. Finally, we assess communication and judgment, including whether they recognize when a workload should move to Cloud Functions, Cloud Run, or a proper backend.
What support is available for scaling the team after launch as our Google Apps Script needs grow?
Once your first automations are live, SoftDoes helps you scale without losing momentum or knowledge. We can add engineers to an existing pod, bring in Google Cloud or backend specialists when workloads outgrow Apps Script quotas, or introduce frontend skills for richer web apps and add ons. Because we work as a team rather than isolated freelancers, knowledge is shared through documentation and code review, so new members ramp up quickly. Our replacement guarantee covers you if someone is not the right fit. You can also scale down after a major rollout, keeping a smaller team focused on maintenance and improvements.
How to Hire Developers Skilled in Google Apps Script
Most companies hire for Google Apps Script the same way: someone who once wrote a macro gets the job, and six months later your reporting breaks every Monday, scripts fail silently on quota limits, and nobody knows whose account owns the triggers. The better outcome is automation your team trusts, built with clean code, version control, and a clear path to scale. This guide shows you how to define the role, where to source proven Apps Script engineers, how to vet them beyond the resume, and how to onboard them so they ship reliable work quickly.
What Google Apps Script Really Does for Your Business
Where Apps Script Engineers Spend Their Day
Google Apps Script is Google's cloud based JavaScript platform, running on the V8 runtime, for automating and extending Google Workspace. In production, it connects Sheets, Docs, Gmail, Drive, Calendar, Forms, and Slides into working business systems. Scripts can be container bound to a single file or standalone, and published as Workspace add ons, web apps, or API executables. Here is what strong engineers actually build and maintain:
- Automated reporting pipelines in Sheets. They pull data from internal tools and external APIs, transform it, and write clean reports on a schedule. Senior engineers read and write ranges in batches instead of cell by cell, which keeps runs fast and safely inside execution time limits.
- Approval and intake workflows from Forms. A form submission triggers routing logic, notifies the right approver by Gmail, logs status in a Sheet, and updates records when a decision lands. Done well, this replaces manual chasing and email threads with a traceable, auditable process your operations team can rely on.
- Document generation from templates. Engineers merge data into Docs or Slides templates to produce contracts, proposals, invoices, and onboarding packets, then save them to the correct Drive folders with proper sharing settings. The skill lies in handling edge cases, naming conventions, and permissions without manual cleanup.
- Gmail and Calendar automation. Scripts parse incoming messages, label and archive threads, create calendar events from bookings, and send templated follow ups. Engineers must respect daily email quotas, handle failures gracefully, and make sure automated messages never spam customers or flood internal inboxes during a bad run.
- Integrations with external systems through UrlFetchApp. Apps Script often acts as glue between Workspace and CRMs, accounting tools, or internal APIs. Engineers manage authentication, store secrets in PropertiesService rather than code, cache responses with CacheService, and design retries so a flaky third party API never corrupts your data.
- Web apps and Workspace add ons. Using doGet and doPost, engineers build lightweight internal tools, dashboards, and lightweight CRMs that live inside Workspace. For add ons, they declare minimal OAuth scopes in the appsscript.json manifest so Workspace admins can approve the app without security pushback or user friction.
Why Senior Apps Script Expertise Pays for Itself
- Stable systems that do not break silently. Senior engineers design around quotas, add error handling and logging, and set up alerts when a trigger fails. Your finance or operations team stops discovering broken reports days later, and critical workflows keep running even when data volumes or user counts grow.
- Faster delivery of internal tools. An experienced developer knows which problems Apps Script solves cleanly and which need a different tool. That judgment avoids weeks of rework, so your teams get working automations sooner instead of waiting on half finished prototypes that collapse under real usage.
- Lower technical debt and safer ownership. Professionals develop locally with clasp, TypeScript, and Git, so every change is reviewed and reversible. They also plan for ownership, since scripts run under the authorizing user's identity, which prevents disasters when an employee leaves and their triggers stop.
- A clear path to scale. When workloads outgrow execution quotas, a senior engineer knows how to move heavy processing to Google Cloud Functions, Cloud Run, or a proper backend while keeping Apps Script as the Workspace front end. You scale without rebuilding everything from scratch.
Getting Ready Before You Open the Role
Define the Work Before You Search for Talent
Before writing a job post, list the workflows you want automated, the systems they touch, and who depends on them today. Identify which scripts already exist, who owns them, and which ones fail most often. This inventory turns a vague request into a scoped engagement and helps candidates give you honest estimates.
Map the Scope and the Architecture You Need
Start with an architecture audit. Document every script you rely on, whether it is container bound or standalone, which triggers it uses, and whose account authorizes it. Note where you hit quotas, such as the roughly six minute execution limit or daily caps on emails and URL fetches. Then decide what the new work requires: a few focused automations, a published Workspace add on, a web app, or integration with external platforms. This clarity tells you whether you need a pure Apps Script specialist or an engineer who can also design a Cloud backend when your workloads grow beyond what quotas allow.
Choose the Right Seniority and Supporting Skills
Simple automations, like scheduled reports or form routing, can be handled by a capable mid level developer working under clear guidance. Anything touching customer data, finance, or many users needs a senior engineer who understands OAuth scopes, governance, and continuation patterns for long jobs. Apps Script is JavaScript at its core, so strong candidates often come from a broader background, and you may want to hire JavaScript developers who also know Workspace deeply. Look for complementary skills too: TypeScript, Git, REST APIs, Google Cloud, SQL, and basic security practices. These make the difference between scripts and maintainable systems.
Decide Between In House Hires and a Dedicated Remote Pod
An in house hire makes sense when Apps Script work is continuous, deeply tied to internal processes, and you have engineering leadership to review code. However, a single internal developer becomes a bottleneck and a risk, because knowledge and script ownership concentrate in one person. A dedicated remote pod gives you a senior Apps Script engineer backed by reviewers, a delivery lead, and the option to add Cloud or frontend skills when needed. For many companies, a pod is the faster path: it starts quickly, shares knowledge across people, and scales up or down as automation demand changes.
Write a Requirement Profile That Attracts Real Experts
- The technical mission. State the exact problems to solve: which workflows, which Workspace apps, which integrations, and what success looks like. Mention known constraints like quotas or data volumes. Specific missions attract engineers who have solved similar problems and filter out generalists who only know basic macros.
- The ecosystem and tooling. List your environment: Workspace edition, external systems, APIs, and whether you expect clasp, TypeScript, and Git based workflows. Say if Google Cloud Functions or Cloud Run are in scope. Experienced engineers want to know they will work with professional tooling, not only the browser editor.
- Team dynamics. Explain who the engineer reports to, who reviews code, and which business stakeholders they will work with daily. Apps Script projects usually involve operations, finance, or sales teams, so communication skills matter. Clarify meeting cadence, documentation expectations, and how requirements are gathered and approved.
- System impact. Describe what happens if the automation fails: missed invoices, delayed approvals, or wrong reports for leadership. This signals how much reliability, logging, and security discipline you expect. Candidates who respond with questions about error handling, ownership, and governance are usually the ones worth interviewing further.

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Sourcing, Vetting, and Onboarding Apps Script Engineers
How to Find and Test Real Google Apps Script Talent
The hiring process should test practical judgment, not just familiarity with the editor. Google Apps Script appears on many resumes because almost every Workspace power user has touched it, so screening needs to separate script writers from engineers.
Pick a Sourcing Channel That Saves You Time
Standard outbound recruiting works, but it is slow for a niche skill. You will screen many candidates whose experience is limited to a few recorded macros, and every interview costs your senior engineers hours. Freelance marketplaces are faster yet uneven, and you inherit the risk if the person disappears mid project. A pre vetted talent network with a proven Apps Script track record shortens the cycle, because candidates have already passed technical screening on real Workspace problems. Ask any provider how they test candidates, what replacement guarantees they offer, and whether engineers come with code review and delivery support.
Test Judgment, Not Just Syntax
Go beyond the resume with a focused technical conversation. Ask candidates to explain architectural choices: container bound versus standalone, simple versus installable triggers, and when a workload should leave Apps Script entirely. Then run a practical task, such as processing several thousand Sheet rows that would time out if written cell by cell, and see whether they batch operations and design a continuation pattern. Add a constraint, like a strict OAuth scope limit or an external API that fails intermittently. Finally, assess culture fit: how they document, how they explain tradeoffs to non technical stakeholders, and how they handle ownership.
A 30/60/90 Day Plan for a Fast Start
- Days 1 to 30: access and discovery. Grant Workspace, Drive, and repository access on day one, plus a shared service or project account for triggers. The engineer audits existing scripts, maps owners and quotas, sets up clasp and Git, and ships one small, low risk fix to learn your review and deployment flow.
- Days 31 to 60: first meaningful delivery. The engineer rebuilds or ships one priority workflow with logging, error alerts, secrets in PropertiesService, and minimal OAuth scopes. Stakeholders test it in a controlled rollout. By the end of this period, you should see documented, version controlled code running in production without manual babysitting.
- Days 61 to 90: ownership and scale. The engineer takes ownership of the automation roadmap, migrates fragile legacy scripts, transfers trigger ownership away from personal accounts, and recommends where Cloud Functions or Cloud Run would help. You should now have a maintainable system, clear documentation, and a predictable delivery rhythm.
Choosing With Confidence
Warning Signs and Strong Signals in Apps Script Interviews
Red flags to watch for:
- Cell by cell thinking. The candidate reads and writes Sheet values inside loops and cannot explain why that becomes slow. This usually means they have never handled real data volumes and will hit execution time limits as soon as your reports grow.
- No answer for quotas. When asked about the six minute execution limit or daily email and fetch caps, they shrug or suggest simply running the script more often. Engineers without a quota strategy build automations that fail unpredictably under real business load.
- Secrets in code and broad scopes. They hardcode API keys directly in scripts and request every OAuth scope available. This creates security exposure, raises flags with Workspace admins, and signals they have not worked in governed environments where unverified apps can be restricted.
- Browser editor only. They have never used clasp, Git, or any form of code review. Without version control, every change is risky, rollbacks are guesswork, and your automation knowledge lives only in whoever last edited the script in the browser.
Green flags that signal senior mastery:
- Batching and caching by default. They naturally use getValues and setValues on full ranges, cache expensive lookups with CacheService, and design continuation patterns for long jobs. Performance and reliability are built into their first draft, not bolted on after something breaks in production.
- Ownership and offboarding awareness. They ask whose account authorizes the triggers and propose a shared or service ownership model. This shows they understand that scripts run under a user's identity and that offboarding one employee should never silently stop critical business automation.
- Professional tooling. They work locally with clasp, TypeScript, and Git, write readable modules, and keep the appsscript.json manifest tidy with minimal scopes. Their code is reviewable, testable, and easy for the next engineer to understand without a lengthy handover session or guesswork.
- Knowing when to leave Apps Script. They can explain when a workload belongs in Cloud Functions, Cloud Run, or a backend, and when AppSheet fits a simple app better. That honesty saves you money and prevents forcing every problem into one tool.
Why Teams Choose SoftDoes for Apps Script Work
SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. We give you immediate access to pre vetted senior engineers with real Google Apps Script experience, already tested on quotas, triggers, governance, and integrations. You do not get an isolated freelancer; you get a team delivery model with code review, a delivery lead, and backup knowledge. Our replacement and scaling guarantees protect your timeline, and flexible engagement models range from a single specialist to a full pod. When automation grows into a larger product, our custom software development team extends the work into Cloud backends and full applications.
Let's Build Your Apps Script Team
If broken scripts, quota failures, or unclear ownership are slowing your teams down, it is time to bring in engineers who build automation properly. Schedule a discovery call with SoftDoes and tell us about your workflows, systems, and goals. We will map the right seniority and engagement model, then introduce pre vetted Google Apps Script engineers ready to start quickly and deliver reliable, well documented automation from the first sprint.

















































