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Systems Engineer 2
Job Location:
Hourly Salary:
Posted:
25 October 2026 (20 hours ago)
Posted:
Application Deadline:
22 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Pay rate range - $55/hr. $61/hr.
Schedule: Fully onsite
Job Description:
Top skills:
-Artificial Intelligence
-Process Improvement
-Backend Development
KEY RESPONSIBILITIES/REQUIREMENTS:
What Youll Own Operational Backbone
Keep the SPOGs execution engine running with the rigor our launches demand.
Atlassian platform: administration configuration and governance of Jira and Confluence projects workflows permissions templates and launch-tracking structures.
SharePoint & content management: architecture permissions document management and site governance across the SPOGs collaboration and knowledge environment.
Office & workflow automation: build and maintain templates macros and integrations that standardize how launch status readiness and reporting are captured and shared.
Governance & reliability: own data hygiene access control and change management so the single source of truth stays trustworthy and audit-ready.
What Youll Build AI Transformation & Intelligent Automation
Lead the shift from manual tracking to AI-augmented execution across the GTM function.
Build agents on Claude: design and build AI agents on Claude (Anthropic API/SDK primarily in Python) that integrate with our Jira Confluence and SharePoint data to eliminate manual status collection reminders and report assembly.
Note:
our Atlassian environment is self-managed (not Atlassian Cloud) so agentic capability is built on Claude as a separate dedicated layer rather than relying on built-in cloud AI features.
Intelligent knowledge access: stand up AI-assisted retrieval-augmented clientrch across Confluence and SharePoint content so launch teams instantly surface decisions specs playbooks and prior-launch learnings powered by Claude over our own document base.
Decision-ready visibility: build launch-readiness dashboards and early-warning risk flags that turn scattered execution data into a real-time view of timeline and dependency health.
AI tooling & governance: evaluate pilot and govern the SPOGs Claude-based agents and assistants and define responsible-use guardrails and data-handling standards as adoption grows across the GTM org.
Cross-team enablement: partner with Business Operations and Strategic Operations to automate reporting inputs and BI feeds reducing manual effort in forecasting and performance tracking.
Own the roadmap: identify high-ROI AI use cases prototype quickly measure impact and scale what works acting as the transformation catalyst for how the team operates.
Required Qualifications
5 years administering Atlassian (Jira / Confluence) and SharePoint in a SPOG operations or product environment.
Hands-on programming ability Python for automation data wrangling and API integration; comfort with REST APIs webhooks and scripting. (This is a genuine upgrade over a pure-admin profile: the role requires someone who can build not only configure.)
Demonstrated experience building workflow automation (Jira automation custom scripting or equivalent) that measurably reduced manual effort.
Hands-on experience building AI agents and agentic workflows orchestrating LLM calls tools and multi-step reasoning ideally on Claude via the Anthropic API/SDK. Solid grounding in prompt engineering retrieval-augmented generation and connecting agents to real systems (Jira Confluence SharePoint) through their APIs.
Data and reporting depth able to build dashboards and models using SQL Python and modern BI / reporting tools.
Strong process orientation able to translate messy operational needs into reliable documented maintainable systems.
Preferred Qualifications
Experience in a go-to-market product-launch or PMO environment operating at scale.
Exposure to Java or another object-oriented language for deeper integration and custom tooling.
Experience defining AI governance or responsible-use policy for a team or function.
Change-management and enablement experience training non-technical teams to adopt new tools and ways of working.
Relevant certifications (PMP Atlassian or applied-AI credentials).
First 612 Months What Success Looks Like
Stabilized and documented the SPOGs Jira / Confluence / SharePoint environment with clear governance.
Shipped 23 automations that measurably cut manual launch-tracking and reporting effort.
Stood up AI-assisted clientrch across the SPOG knowledge base adopted by launch teams.
Delivered a prioritized ROI-ranked AI use-case roadmap for the GTM function.
Schedule: Fully onsite
Job Description:
Top skills:
-Artificial Intelligence
-Process Improvement
-Backend Development
KEY RESPONSIBILITIES/REQUIREMENTS:
What Youll Own Operational Backbone
Keep the SPOGs execution engine running with the rigor our launches demand.
Atlassian platform: administration configuration and governance of Jira and Confluence projects workflows permissions templates and launch-tracking structures.
SharePoint & content management: architecture permissions document management and site governance across the SPOGs collaboration and knowledge environment.
Office & workflow automation: build and maintain templates macros and integrations that standardize how launch status readiness and reporting are captured and shared.
Governance & reliability: own data hygiene access control and change management so the single source of truth stays trustworthy and audit-ready.
What Youll Build AI Transformation & Intelligent Automation
Lead the shift from manual tracking to AI-augmented execution across the GTM function.
Build agents on Claude: design and build AI agents on Claude (Anthropic API/SDK primarily in Python) that integrate with our Jira Confluence and SharePoint data to eliminate manual status collection reminders and report assembly.
Note:
our Atlassian environment is self-managed (not Atlassian Cloud) so agentic capability is built on Claude as a separate dedicated layer rather than relying on built-in cloud AI features.
Intelligent knowledge access: stand up AI-assisted retrieval-augmented clientrch across Confluence and SharePoint content so launch teams instantly surface decisions specs playbooks and prior-launch learnings powered by Claude over our own document base.
Decision-ready visibility: build launch-readiness dashboards and early-warning risk flags that turn scattered execution data into a real-time view of timeline and dependency health.
AI tooling & governance: evaluate pilot and govern the SPOGs Claude-based agents and assistants and define responsible-use guardrails and data-handling standards as adoption grows across the GTM org.
Cross-team enablement: partner with Business Operations and Strategic Operations to automate reporting inputs and BI feeds reducing manual effort in forecasting and performance tracking.
Own the roadmap: identify high-ROI AI use cases prototype quickly measure impact and scale what works acting as the transformation catalyst for how the team operates.
Required Qualifications
5 years administering Atlassian (Jira / Confluence) and SharePoint in a SPOG operations or product environment.
Hands-on programming ability Python for automation data wrangling and API integration; comfort with REST APIs webhooks and scripting. (This is a genuine upgrade over a pure-admin profile: the role requires someone who can build not only configure.)
Demonstrated experience building workflow automation (Jira automation custom scripting or equivalent) that measurably reduced manual effort.
Hands-on experience building AI agents and agentic workflows orchestrating LLM calls tools and multi-step reasoning ideally on Claude via the Anthropic API/SDK. Solid grounding in prompt engineering retrieval-augmented generation and connecting agents to real systems (Jira Confluence SharePoint) through their APIs.
Data and reporting depth able to build dashboards and models using SQL Python and modern BI / reporting tools.
Strong process orientation able to translate messy operational needs into reliable documented maintainable systems.
Preferred Qualifications
Experience in a go-to-market product-launch or PMO environment operating at scale.
Exposure to Java or another object-oriented language for deeper integration and custom tooling.
Experience defining AI governance or responsible-use policy for a team or function.
Change-management and enablement experience training non-technical teams to adopt new tools and ways of working.
Relevant certifications (PMP Atlassian or applied-AI credentials).
First 612 Months What Success Looks Like
Stabilized and documented the SPOGs Jira / Confluence / SharePoint environment with clear governance.
Shipped 23 automations that measurably cut manual launch-tracking and reporting effort.
Stood up AI-assisted clientrch across the SPOG knowledge base adopted by launch teams.
Delivered a prioritized ROI-ranked AI use-case roadmap for the GTM function.
Required Experience:
IC
About Company
Intelliswift is a top IT service provider delivering award-winning professional service across global delivery centers that solves complex challenges and deliver valuable insights & technology solutions that drive greater business value.
