ZipRecruiter

Log In

1

Online Google Workspace Developer Jobs in Indiana

Traction Ag, Inc.

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

Experience building internal developer platforms, plugin systems, or self-service tooling for non ... Atlassian, Notion (including the API), HubSpot, Slack, Jira, Figma, Google Workspace, Canva What ...

MSCCN

Financial Analyst - Richmond, IN

Richmond, IN · On-site

$75K - $100K/yr

... engineering to financially close capital projects and track vendor spending. Internal Controls ... Google Workspace tools (ideally also DOMO, Data Studio & AODocs) Ability to multi-task and work ...

Lucidworks

Senior IT Systems Engineer

Indianapolis, IN · Remote

$99K - $136K/yr

About the role As a Senior IT Systems Engineer, you own IT systems engineering for corporate ... Google Workspace. * Familiarity with SaaS security best practices, SSO enforcement, MFA, and ...

New

next page

Showing results 1-20

All JobsOnline Google Workspace Developer JobsOnline Google Workspace Developer Jobs in Indiana

Online Google Workspace Developer information

What are some common challenges faced by Online Google Workspace Developers when integrating third-party applications?

Online Google Workspace Developers frequently encounter challenges related to authentication, API rate limits, and maintaining data security when integrating third-party applications. Navigating differences in data formats, ensuring compliance with Google’s API usage policies, and troubleshooting permission issues are also common hurdles. Effective communication with both internal teams and external vendors is essential to resolve technical issues quickly and maintain smooth integrations.

What does an Online Google Workspace Developer do?

An Online Google Workspace Developer designs, builds, and maintains custom solutions and integrations using Google Workspace tools such as Google Apps Script, Google Drive, Gmail, and Google Sheets. They automate workflows, create add-ons, and develop web applications that enhance productivity within the Google Workspace ecosystem. Their work often involves collaborating with teams to streamline business processes, improve data management, and ensure seamless connectivity between Google services and third-party applications.

What are the key skills and qualifications needed to thrive as an Online Google Workspace Developer, and why are they important?

To thrive as an Online Google Workspace Developer, you need expertise in JavaScript, HTML/CSS, and a thorough understanding of Google Workspace APIs and App Script, typically supported by experience in cloud-based development. Familiarity with tools like Google Cloud Platform, OAuth authentication, and relevant certifications such as Google Professional Collaboration Engineer are highly beneficial. Strong problem-solving skills, communication, and the ability to collaborate remotely are essential soft skills for this role. These skills ensure seamless automation, customization, and integration of Google Workspace applications to improve productivity and meet business needs.

What is the difference between Online Google Workspace Developer vs Google Apps Script Developer?

AspectOnline Google Workspace DeveloperGoogle Apps Script Developer
CredentialsTypically requires knowledge of Google Workspace APIs, OAuth, and scriptingRequires understanding of Google Apps Script platform and scripting
Work EnvironmentDevelops cloud-based solutions, integrations, and add-ons for Google WorkspaceCreates custom scripts and automations within Google Workspace apps
Employer & Industry UsageUsed by organizations integrating Google Workspace with other systemsUsed by businesses and individuals automating tasks within Google Workspace

The Online Google Workspace Developer focuses on building comprehensive solutions and integrations across Google Workspace, often involving APIs and external systems. In contrast, the Google Apps Script Developer specializes in creating scripts and automations within Google Workspace apps like Sheets, Docs, and Gmail. Both roles require scripting skills, but their scope and application differ.

What are the most commonly searched types of Google Workspace Developer jobs in Indiana? The most popular types of Google Workspace Developer jobs in Indiana are:
What cities in Indiana are hiring for Online Google Workspace Developer jobs? Cities in Indiana with the most Online Google Workspace Developer job openings:
Online Google Workspace Developer jobs near you
Principal AI Systems Engineer

Principal AI Systems Engineer

Traction Ag, Inc.

Auburn, IN • On-site, Remote

$170K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Traction Ag helps farmers simplify the business of farming through cloud-based software that brings together farm financials and operations.
In this role, you will operate as a cross-functional technical leader partnering closely with the COO and engineering leadership. You will help define the company's AI architecture, tooling standards, and governance practices.
Core Priorities
  1. Build a secure internal AI data and retrieval layer
  2. Establish governance and safe AI usage patterns
  3. Ship high-leverage internal workflows and automations
  4. Enable responsible AI adoption across the company
  5. Create scalable foundations for future agentic systems

What the role is not:
  • An AI research role
  • A pure ML modeling role
  • A prompt engineering role
  • A people management role
  • A speculative innovation lab

What You Will Build
The Operating Layer
Our internal AI operating layer. A secure internal AI layer that connects company knowledge systems and makes institutional context searchable, usable, and operational.
  • Building AI-powered retrieval and synthesis workflows across Slack, CRM, Google, docs, project management, and meeting transcripts so teams can access institutional knowledge and historical context in seconds
  • Creating scalable systems for meeting capture, decision logging, onboarding, SOP generation, and cross-functional communication
  • Implementing RAG pipelines, vector search, embeddings, and AI orchestration frameworks that power the entire internal AI toolkit
  • Reducing knowledge silos, duplicated work, and dependency on tribal knowledge by making information flow to where it is needed, when it is needed

The Internal AI Workflow Platform
A centralized library of reusable AI-powered workflows, automations, and internal tools employees can safely use without exposing sensitive company or customer data.
  • Curated, tested AI workflows for each department that non-technical team members can invoke without prompt engineering from scratch
  • Version control, access governance, and audit trails so the organization can scale AI usage without sacrificing security or consistency
  • A framework that lets team members go from idea to prototype to production-ready workflow, with guardrails that keep outputs safe and on-brand

Operational Intelligence
  • Automations and agents that transform raw information into actionable insights, summaries, tasks, and operational reporting
  • Tools that make operational metrics, goal tracking, and leadership reporting more accessible, more actionable, and harder to ignore
  • Governance, security, and data quality standards for every internal AI system

Security & Governance
  • Define safe AI usage standards across the organization
  • Establish data handling and model access policies aligned with security requirements
  • Evaluate AI vendors, infrastructure, and deployment patterns for security and scalability
  • Design human-in-the-loop workflows, auditability, and operational safeguards
  • Ensure customer financial data is protected across all AI systems

What We Are Looking For
Required
  • 7+ years in software engineering, data engineering, or platform/infrastructure roles, with at least 2 years focused on AI/ML systems or AI-powered tooling
  • Demonstrated track record designing and implementing AI-powered retrieval systems, knowledge architectures, and workflow orchestration patterns in production environments.
  • Proficiency in Python, Node, Angular, and TypeScript; comfortable working across the stack from data pipelines to lightweight front-end interfaces
  • Proven ability to build integrations across SaaS tools using APIs, webhooks, and automation platforms
  • Strong understanding of context engineering: designing retrieval strategies, memory systems, and information architectures that make AI outputs reliable and high-quality
  • Excellent communication: you can translate between technical architecture and business outcomes, and you can teach complex concepts to non-technical colleagues
  • Comfortable operating autonomously, prioritizing ambiguous problems, and making pragmatic technical tradeoffs.

Nice to Have
  • Familiarity with structured operating systems for scaling companies
  • Background in ag-tech, fintech, or B2B SaaS
  • Experience building internal developer platforms, plugin systems, or self-service tooling for non-engineers
  • Contributions to open-source AI tooling or a portfolio of internal tools you have built and shipped
  • Experience with our stack: Atlassian, Notion (including the API), HubSpot, Slack, Jira, Figma, Google Workspace, Canva

What Success Looks Like
Foundation
  • Initial secure AI retrieval architecture is operational against at least one core company data source
  • Foundational AI infrastructure, governance standards, and approved tooling patterns are established
  • At least two vetted internal AI workflows are published and actively used

Quick Wins - First 90 Days
  • Three to five automations are shipped and saving measurable time across multiple departments
  • At least one cross-functional AI workflow is operational and adopted by non-technical teams
  • A prioritized six-month roadmap for AI infrastructure, workflow automation, and governance is delivered to leadership

Organizational Trust
  • You have established strong working relationships across department leadership
  • The organization trusts the systems, guardrails, and architectural direction being established
  • The company has begun moving from fragmented AI experimentation toward secure, production-oriented AI adoption

What We Offer
  • Mission-driven work that directly supports farmers and rural communities.
  • A nimble, passionate team where your ideas have real impact.
  • Competitive and cost-effective benefits plans - Health, Dental, Vision, and Life Insurance
  • 401(k) Plans with Company Match
  • Unlimited Paid Time Off
  • Paid Holidays
  • A company culture rooted in our values:
    • Put the Farmer First
    • Gain Traction as a Team
    • Think Outside the Silo
    • Take the Right Next Step
    • Choose Joy

Apply