Oracle Corporation

Senior Manager, Application Software Engineering

Oracle Corporation$118K — $264K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in relevant technical field.
  • 5+ years of software development experience.
  • 6+ years of programming experience (e.g., SQL, C/C++, JavaScript).
  • 4+ years of database experience.
  • 2+ years of management experience leading direct reports.
  • 2 years of operating budget/project financials experience.
  • 3 years of experience with cloud platforms (AWS, Azure, Google, Oracle).

Responsibilities

  • Lead and develop the AI Platform and Productivity Engineering team for secure AI capabilities delivery.
  • Translate enterprise AI strategy into actionable engineering roadmaps aligning with OCI objectives.
  • Deliver high-quality enterprise plugins and AI tooling for consistent adoption.
  • Collaborate with the Enterprise AI team on quality guardrails and adoption guidance.
  • Establish a plugin reuse registry preventing duplicate AI development.
  • Define technical patterns for scalable AI usage and cost efficiency.
  • Partner with various teams to translate priorities into a scalable platform.

Benefits

  • Comprehensive health benefits including medical, dental, and vision.
  • 401(k) retirement plan with company matching.
  • Flexible work hours and remote work opportunities.
  • Professional development and training programs.
  • Generous paid time off and holiday leave.
Full Job Description
Job Description

Oracle Cloud Infrastructure (OCI) is seeking an experienced Senior Manager of Software Development to lead the AI Platform and Productivity Engineering organization. In this role, you will manage and develop an engineering team responsible for delivering secure, reliable, production-grade AI capabilities that improve employee productivity and accelerate enterprise AI adoption. You will drive execution across enterprise plugins for common productivity workflows, Codex enablement tooling, shared plugin and service architecture, and dynamic model-enforcement implementation.
You will be accountable for translating strategy into prioritized engineering roadmaps, high-quality releases, and operationally supportable services. This includes establishing strong engineering practices for architecture, quality, reliability, security-aware execution, production operations, and ongoing service ownership. You will ensure the team builds reusable platform capabilities that scale across use cases

Leads one or more platform teams; defines tactical and key strategic elements for middleware evolution serving multiple consumers. Accountable for performance, cost control, and reliability outcomes; escalations for distributed debugging and upgrade safety. Drives significant cross-team improvements to observability, SLOs, and resilience patterns. Engages stakeholders inside and outside the group; socializes migration plans and adoption playbooks.

Responsibilities

Key Responsibilities
  • Lead, develop, and scale the AI Platform and Productivity Engineering team, accountable for delivery of secure, reliable, production-grade AI capabilities across enterprise productivity workflows.
  • Translate enterprise AI strategy into an executable engineering roadmap, aligning team priorities with OCI objectives, platform standards, security requirements, cost efficiency, and measurable adoption outcomes.
  • Deliver enterprise-grade plugins, Codex enablement tooling, shared plugin and service architecture, and dynamic model-enforcement capabilities that enable teams to adopt AI safely and consistently.
  • Partner with the Enterprise AI strategy team to implement the common operating model, including reusable patterns, quality guardrails, usage telemetry, cost intelligence, and adoption guidance.
  • Establish and operate a plugin reuse registry and certification process, enabling teams to discover trusted capabilities, avoid duplicate development, and retire redundant or low-value AI assets.
  • Define and implement technical patterns that scale AI usage without linear cost growth, including token and context optimization, workflow-based model selection, and policy-driven model.
  • Partner closely with product, engineering, architecture, security, legal, compliance, finance, communications, AI Champions, and partner teams to translate shared priorities into scalable platform.
  • Establish rigorous engineering practices for architecture, development, testing, release management, production operations, incident response, reliability, and supportability.
  • Ensure the team's platform and plugins meet enterprise standards for security, privacy, governance, observability, quality, and operational readiness.
  • Manage technical dependencies, capacity, delivery risks, and tradeoffs across the portfolio; sequence work to maximize reuse, adoption, business impact, and engineering leverage.
  • Serve as the senior engineering voice, communicating delivery status, risks, decisions, and roadmap progress to senior OCI leadership.
  • Hire, mentor, coach, and develop engineers and engineering leaders; establish clear expectations, career growth plans, and accountability for delivery and operational outcomes.
  • Define and track success metrics for the platform, including adoption, plugin reuse, delivery velocity, reliability, policy compliance, cost efficiency, and user satisfaction.
  • Provides direction to multiple teams on addressing complex operational and/or technical issues as well as providing guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping the team to identify potential solutions.
  • Establish guardrails for APIs/SDKs and upgrade playbooks; track adoption and risk.


Minimum Job Qualifications Education and/or Experience:
  • Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development
  • 6 years of experience with programming and/or scripting languages (e.g., SQL, C/C++, JavaScript).
  • 4 years of experience with databases.
  • People Leadership / Management Experience: 2+years of people experience managing direct reports.
  • Budget Experience: 2 years of experience working with operating budgets and/or project financials.
  • Cloud Platforms Experience:3 years of experience with cloud platforms (e.g., AWS, Azure, Google, Oracle Cloud).


Preferred Skills

AI Skills and Experience
  • 2+ years of experience building, integrating, or operating AI-enabled applications, developer tools, productivity platforms, or generative AI capabilities.
  • Experience with large language model (LLM) application patterns, including prompt design, retrieval-augmented generation, tool/function calling, agentic workflows, and evaluation methods.
  • Experience implementing AI governance, security, privacy, model-access controls, or policy-driven model selection.
  • Experience optimizing AI cost and performance through model routing, token and context management, usage telemetry, caching, or workload optimization.
  • Experience designing reusable AI platform capabilities, plugins, services, or integrations that support adoption across multiple teams.


Qualifications

Disclaimer:

About Oracle Corporation

Oracle Dyn Global Business Unit is a pioneer in managed DNS and a leader in cloud-based infrastructure that connects users with digital content and experiences across a global internet. Dyn's solution is powered by a global network that drives 40 billion traffic optimization decisions daily for more than 3,500 enterprise customers, including preeminent digital brands such as Netflix, Twitter, Linkedin and CNBC. Adding Dyn's best-in-class DNS and email services extend the Oracle cloud computing platform and provides enterprise customers with a one-stop shop for Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). On January 31, 2017 Oracle completed the acquisition of Dyn, which now operates as an Oracle Infrastructure-as-a-Service (IaaS) global business unit (GBU).

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Learn more about Oracle Corporation
Size
143,000 employees
Market Cap
$217.3 billion
Industry
Net Income
$12.8 billion
Founded
1977
5 Year Trend
+2.3%
Revenue
$39.6 billion
NASDAQ

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