Home › Companies › Eckb Fa Us2 Oraclecloud Com CX 1001 › Head of Software Engineering
Head of Software Engineering
Eckb Fa Us2 Oraclecloud Com CX 1001 · REMOTE, United States · Remote · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Eckb Fa Us2 Oraclecloud Com CX 1001 |
| Title | Head of Software Engineering |
| Normalized title | - |
| Department / team | Information Technology |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-16 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eckb Fa Us2 Oraclecloud Com CX 1001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Information Technology. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Eckb Fa Us2 Oraclecloud Com CX 1001 |
| Source | 70839d05-4f40-4dd1-88fa-e7171baf4b4d |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Position Summary
The Head of Software Engineering serves as the enterprise leader for application engineering strategy, systems integration architecture, DevOps execution, automation, and AI-enabled solution development across The Fedcap Group.
This role advances and scales an established engineering function to ensure enterprise-developed applications, integrations, and intelligent automation capabilities are secure, scalable, innovative, compliant, and aligned with enterprise architecture and governance standards across a geographically distributed organization.
As the organization continues to expand across regions and service lines, the Head of Software Engineering will accelerate modernization, reduce technical fragmentation, embed AI-driven capabilities into enterprise workflows, and position engineering as a strategic driver of operational excellence and innovation.
Reporting to the SVP, Enterprise Systems & Digital Platforms, this leader partners closely with IT Infrastructure & Operations, Security, Data & Analytics, and operating leadership to ensure engineering practices are standardized, performance-driven, resilient, financially disciplined, and aligned with enterprise governance requirements.
Mission
To deliver secure, scalable, intelligent, and cost-effective enterprise applications that strengthen mission delivery, enable automation and data-driven decision-making, reduce system fragmentation, and support sustainable organizational growth.
Scope of Accountability
The Head of Software Engineering is accountable for:
• Enterprise software development standards and advanced SDLC governance
• Application architecture patterns and approved engineering frameworks
• API and enterprise integration architecture standards
• DevOps pipelines, release automation, and engineering productivity optimization
• Application performance monitoring and operational observability standards
• Technical debt prioritization and modernization acceleration
• Automation platforms (RPA, workflow engines, low-code governance)
• AI-enabled application capabilities embedded within enterprise systems
• Intelligent workflow and decision-support integration in collaboration with Data & Analytics
• Engineering documentation and configuration discipline
• Secure coding practices and vulnerability remediation coordination
• Application lifecycle management and decommissioning governance
• Engineering vendor lifecycle management
• Engineering budget management and cost discipline
• Build-versus-buy analysis and financial justification of custom development initiatives
• Engineering capacity planning, delivery forecasting, and productivity optimization
• Application components of acquisition integration and enterprise platform consolidation
• Implementation of security control requirements
• Leadership of distributed onshore, nearshore, and offshore engineering teams
Core Responsibilities
Application Strategy, Architecture & Innovation
• Define and evolve enterprise application architecture standards.
• Establish consistent development frameworks and approved technology stacks.
• Lead modernization of legacy applications while enhancing scalability and maintainability.
• Identify and prioritize opportunities to embed automation and AI-enabled decision support within enterprise workflows.
• Drive rationalization of redundant custom solutions across business units.
• Evaluate emerging technologies and pilot innovation initiatives aligned with enterprise strategy.
Engineering Portfolio & Demand Governance
• Establish structured intake and prioritization processes for engineering initiatives.
• Align development roadmaps with enterprise portfolio governance and strategic objectives.
• Ensure engineering resources are allocated to the highest-value initiatives.
• Prevent proliferation of unauthorized, redundant, or non-strategic custom solutions.
• Partner with Systems leadership to ensure build-versus-buy decisions are financially and strategically justified.
Software Development Lifecycle (SDLC) & Engineering Maturity
• Advance existing SDLC governance to improve consistency, automation, and measurable quality outcomes.
• Optimize requirements management, code review, testing, and documentation standards.
• Govern version control, branching strategies, and release management protocols.
• Maintain formal Dev/Test/Production controls with disciplined change management.
• Ensure audit-ready engineering documentation aligned with compliance requirements.
DevOps, Release Management & Engineering Productivity
• Mature CI/CD pipelines to enhance deployment reliability and scalability.
• Introduce measurable engineering productivity and quality benchmarks.
• Implement AI-assisted development tools where appropriate to enhance developer efficiency and code quality.
• Define application monitoring, logging, and observability standards.
• Improve deployment consistency while enabling faster innovation cycles.
Enterprise Integration, Intelligent Automation & AI Enablement
• Govern API standards and modern integration architecture patterns across systems.
• Replace legacy point-to-point integrations with scalable API-first models.
• Expand workflow automation and RPA initiatives with measurable operational impact.
• Partner with Data & Analytics to embed predictive models and AI-enabled insights into operational systems.
• Ensure responsible, secure, and governed implementation of AI-enabled application features.
• Maintain disciplined oversight of automation and AI experimentation to prevent fragmentation.
Application Security & Compliance Alignment
• Embed secure coding standards and shift-left security practices.
• Partner with Security to maintain strong vulnerability remediation performance.
• Ensure engineering alignment with HIPAA, SOC 2 Type II, ISO 27001, and other required control frameworks.
• Support audit evidence production for application development controls.
• Ensure identity and role-based access enforcement is consistently implemented in application design.
Acquisition Integration & Expansion Enablement
• Lead application and integration due diligence assessments for acquisitions.
• Execute standardized application integration during entity onboarding.
• Ensure engineering readiness for geographic expansion and new program launches.
• Support enterprise system consolidation aligned with modernization strategy.
Success Metrics (First 12 Months)
• Measurable advancement in engineering maturity, deployment reliability, and release predictability across enterprise applications.
• Reduction of prioritized technical debt while maintaining operational stability.
• Expansion of intelligent automation and AI-enabled capabilities with documented operational impact.
• Standardized integration architecture adopted across major enterprise platforms.
• Demonstrated financial discipline through optimized engineering spend and justified build-versus-buy decisions.
• Engineering organization strengthened across onshore, nearshore, and offshore teams to support modernization and enterprise scale.
Qualifications
• 10+ years of progressive leadership in software engineering and enterprise application environments.
• Demonstrated expertise in secure SDLC advancement, DevOps optimization, and API-first architecture.
• Experience leading distributed onshore, nearshore, and offshore engineering teams.
• Experience implementing automation and AI-enabled capabilities within enterprise systems.
• Experience modernizing legacy systems in distributed, multi-entity organizations.
• Experience operating in regulated environments.
• Proven ability to scale engineering capabilities while maintaining financial discipline.
• Strong executive communication and cross-functional leadership skills.
Leadership Profile
The ideal candidate will:
• Lead with engineering discipline and innovation orientation.
• Balance speed, quality, scalability, compliance, and cost efficiency.
• Build structured governance while fostering a culture of modernization and creativity.
• Drive responsible AI-enabled transformation aligned with enterprise strategy.
• Operate as a strategic partner within an enterprise governance model.
Mission & Stewardship Commitment
• Ensure enterprise applications protect client data and enable intelligent decision-making.
• Advance engineering capabilities that directly strengthen frontline impact.
• Promote responsible innovation and ethical AI implementation.
• Deliver secure, scalable, and financially responsible systems that support mission growth across all operating entities.
Full job record
| Job ID | 9bef7ac89c2d33db40604f8e30ec1c27f5f53123 |
| Org ID | c3464523-4337-4b66-a204-2dc8d439e463 |
| Source ID | 70839d05-4f40-4dd1-88fa-e7171baf4b4d |
| Board ID | 70839d05-4f40-4dd1-88fa-e7171baf4b4d |
| Provider | oracle_hcm |
| Provider Job Key | 103096 |
| Title | Head of Software Engineering |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | REMOTE, United States |
| Department | Information Technology |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Description Position Summary The Head of Software Engineering serves as the enterprise leader for application engineering strategy, systems integration architecture, DevOps execution, automation, and AI-enabled solution development across The Fedcap Group. This role advances and scales an established engineering function to ensure enterprise-developed applications, integrations, and intelligent automation capabilities are secure, scalable, innovative, compliant, and aligned with enterprise architecture and governance standards across a geographically distributed organization. As the organization continues to expand across regions and service lines, the Head of Software Engineering will accelerate modernization, reduce technical fragmentation, embed AI-driven capabilities into enterprise workflows, and position engineering as a strategic driver of operational excellence and innovation. Reporting to the SVP, Enterprise Systems & Digital Platforms, this leader partners closely with IT Infrastructure & Operations, Security, Data & Analytics, and operating leadership to ensure engineering practices are standardized, performance-driven, resilient, financially disciplined, and aligned with enterprise governance requirements. Mission To deliver secure, scalable, intelligent, and cost-effective enterprise applications that strengthen mission delivery, enable automation and data-driven decision-making, reduce system fragmentation, and support sustainable organizational growth. Scope of Accountability The Head of Software Engineering is accountable for: • Enterprise software development standards and advanced SDLC governance • Application architecture patterns and approved engineering frameworks • API and enterprise integration architecture standards • DevOps pipelines, release automation, and engineering productivity optimization • Application performance monitoring and operational observability standards • Technical debt prioritization and modernization acceleration • Automation platforms (RPA, workflow engines, low-code governance) • AI-enabled application capabilities embedded within enterprise systems • Intelligent workflow and decision-support integration in collaboration with Data & Analytics • Engineering documentation and configuration discipline • Secure coding practices and vulnerability remediation coordination • Application lifecycle management and decommissioning governance • Engineering vendor lifecycle management • Engineering budget management and cost discipline • Build-versus-buy analysis and financial justification of custom development initiatives • Engineering capacity planning, delivery forecasting, and productivity optimization • Application components of acquisition integration and enterprise platform consolidation • Implementation of security control requirements • Leadership of distributed onshore, nearshore, and offshore engineering teams Core Responsibilities Application Strategy, Architecture & Innovation • Define and evolve enterprise application architecture standards. • Establish consistent development frameworks and approved technology stacks. • Lead modernization of legacy applications while enhancing scalability and maintainability. • Identify and prioritize opportunities to embed automation and AI-enabled decision support within enterprise workflows. • Drive rationalization of redundant custom solutions across business units. • Evaluate emerging technologies and pilot innovation initiatives aligned with enterprise strategy. Engineering Portfolio & Demand Governance • Establish structured intake and prioritization processes for engineering initiatives. • Align development roadmaps with enterprise portfolio governance and strategic objectives. • Ensure engineering resources are allocated to the highest-value initiatives. • Prevent proliferation of unauthorized, redundant, or non-strategic custom solutions. • Partner with Systems leadership to ensure build-versus-buy decisions are financially and strategically justified. Software Development Lifecycle (SDLC) & Engineering Maturity • Advance existing SDLC governance to improve consistency, automation, and measurable quality outcomes. • Optimize requirements management, code review, testing, and documentation standards. • Govern version control, branching strategies, and release management protocols. • Maintain formal Dev/Test/Production controls with disciplined change management. • Ensure audit-ready engineering documentation aligned with compliance requirements. DevOps, Release Management & Engineering Productivity • Mature CI/CD pipelines to enhance deployment reliability and scalability. • Introduce measurable engineering productivity and quality benchmarks. • Implement AI-assisted development tools where appropriate to enhance developer efficiency and code quality. • Define application monitoring, logging, and observability standards. • Improve deployment consistency while enabling faster innovation cycles. Enterprise Integration, Intelligent Automation & AI Enablement • Govern API standards and modern integration architecture patterns across systems. • Replace legacy point-to-point integrations with scalable API-first models. • Expand workflow automation and RPA initiatives with measurable operational impact. • Partner with Data & Analytics to embed predictive models and AI-enabled insights into operational systems. • Ensure responsible, secure, and governed implementation of AI-enabled application features. • Maintain disciplined oversight of automation and AI experimentation to prevent fragmentation. Application Security & Compliance Alignment • Embed secure coding standards and shift-left security practices. • Partner with Security to maintain strong vulnerability remediation performance. • Ensure engineering alignment with HIPAA, SOC 2 Type II, ISO 27001, and other required control frameworks. • Support audit evidence production for application development controls. • Ensure identity and role-based access enforcement is consistently implemented in application design. Acquisition Integration & Expansion Enablement • Lead application and integration due diligence assessments for acquisitions. • Execute standardized application integration during entity onboarding. • Ensure engineering readiness for geographic expansion and new program launches. • Support enterprise system consolidation aligned with modernization strategy. Success Metrics (First 12 Months) • Measurable advancement in engineering maturity, deployment reliability, and release predictability across enterprise applications. • Reduction of prioritized technical debt while maintaining operational stability. • Expansion of intelligent automation and AI-enabled capabilities with documented operational impact. • Standardized integration architecture adopted across major enterprise platforms. • Demonstrated financial discipline through optimized engineering spend and justified build-versus-buy decisions. • Engineering organization strengthened across onshore, nearshore, and offshore teams to support modernization and enterprise scale. Qualifications • 10+ years of progressive leadership in software engineering and enterprise application environments. • Demonstrated expertise in secure SDLC advancement, DevOps optimization, and API-first architecture. • Experience leading distributed onshore, nearshore, and offshore engineering teams. • Experience implementing automation and AI-enabled capabilities within enterprise systems. • Experience modernizing legacy systems in distributed, multi-entity organizations. • Experience operating in regulated environments. • Proven ability to scale engineering capabilities while maintaining financial discipline. • Strong executive communication and cross-functional leadership skills. Leadership Profile The ideal candidate will: • Lead with engineering discipline and innovation orientation. • Balance speed, quality, scalability, compliance, and cost efficiency. • Build structured governance while fostering a culture of modernization and creativity. • Drive responsible AI-enabled transformation aligned with enterprise strategy. • Operate as a strategic partner within an enterprise governance model. Mission & Stewardship Commitment • Ensure enterprise applications protect client data and enable intelligent decision-making. • Advance engineering capabilities that directly strengthen frontline impact. • Promote responsible innovation and ethical AI implementation. • Deliver secure, scalable, and financially responsible systems that support mission growth across all operating entities. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://eckb.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/103096 |
| Apply URL | https://eckb.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/103096 |
| First Seen At | 2026-05-31 18:03:22Z |
| Last Seen At | 2026-06-06 11:27:18Z |
| Last Checked At | 2026-06-06 11:27:18Z |
| Last Changed At | 2026-05-31 18:03:22Z |
| Inactive At | — |
| Source Posted At | 2026-05-16 21:17:45Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=eckb.fa.us2.oraclecloud.com|CX_1001/date=2026-06-06/2026-06-06T11-27-01-763Z-ba39166a71293bf8b08cdd5ea119d513deabb4c9e5b9f3794e98d4ed8ca66e71.json |
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