As a Software Engineering Manager on the Multi-cloud team, you will lead a team of engineers building and operating services and platforms that enable cloud integration, interoperability, automation, and reliable service delivery. Your team will work across OCI, Oracle, and external partner teams to solve complex
distributed systems problems involving cloud infrastructure, networking, identity, security, commercial integration, operability, and customer-facing service reliability.
This is an AI-first team. We use AI-assisted engineering tools, including Codex, as part of our daily development workflow. You will be expected to model and drive effective use of AI across the team to improve engineering productivity, automate repetitive tasks, accelerate troubleshooting, improve documentation and testing, and increase the quality and maintainability of our systems. You will also guide the team in creating reusable prompts, workflows, tools, and AI skills that improve team execution.
You will be accountable for team delivery, engineering quality, operational readiness, production reliability, and the growth and development engineers. This includes setting priorities, clarifying ownership, reviewing designs, improving execution processes, supporting incident response, ensuring durable follow-up from operational reviews, and helping engineers grow through feedback, coaching, mentoring, and career development.
The ideal candidate has a strong technical background in cloud services, distributed systems, APIs, containerized services, and production operations, combined with the ability to lead people, manage execution, and collaborate effectively across organizational boundaries.
Basic Qualifications:
- 7+ years of experience in software engineering, including experience designing, building, and operating production-scale distributed systems, cloud services, or integration platforms.
- 3+ years of experience leading engineers as a people manager, technical lead, team lead, or equivalent role with responsibility for execution, mentoring, planning, and delivery.
- BS/MS in Computer Science or equivalent experience.
- Strong technical judgment in cloud services, distributed systems, service- oriented architecture, APIs, reliability, security, and operational excellence.
- Experience managing or leading engineers working with Java-based services or similar systems/application programming environments such as Python, Go, C/C++, or C#.
- Experience with Linux-based containerized services, including Docker, Kubernetes, service configuration, networking, scaling, health checks, observability, and production troubleshooting.
Experience with RESTful APIs over HTTPS, including API contracts, authentication, authorization, error handling, retries, timeouts, backward compatibility, and production debugging.
- Experience driving operational excellence for production services, including on-call readiness, incident response, root cause analysis, operational reviews, corrective actions, automation, monitoring, alerting, and supportability improvements.
- Demonstrated ability to lead technical planning and execution across multiple engineers, including roadmap planning, milestone tracking, risk management, dependency management, and delivery communication.
- Experience coaching and developing engineers through design reviews, code reviews, debugging support, operational readiness reviews, feedback, performance conversations, and career development.
- Hands-on familiarity with AI-assisted development tools such as Codex, Claude Code, GitHub Copilot, or similar tools, and the ability to guide teams in using these tools responsibly and effectively.
- Ability to promote reusable prompts, workflows, tools, or AI skills that improve engineering productivity, quality, documentation, testing, debugging, and operational workflows.
- Working knowledge of cloud infrastructure, identity, networking, security, or multi-cloud environments.
- Ability to collaborate across product, engineering, operations, support, security, partner, and leadership teams.
- Willingness to participate in operational escalations and support production services as part of the team’s reliability and incident response responsibilities
Internal Responsibilities
As a Software Engineering Manager on the Multi-cloud team, you will lead engineers responsible for designing, building, deploying, and operating Java-based cloud services, RESTful APIs, and containerized workloads on Kubernetes. You will own team execution, delivery planning, prioritization, risk management,
and operational readiness. You will partner with engineers to clarify ownership, review designs, remove blockers, and drive projects from architecture through production.
You will raise the engineering bar for reliability, scalability, security, supportability, and maintainability by improving observability, alerting, automation, testing, deployment safety, runbooks, incident response, and post-incident follow-up.
You will coach and develop engineers through feedback, mentoring, growth planning, design reviews, debugging support, and operational guidance. You will drive effective use of AI-assisted engineering tools such as Codex, Claude Code, GitHub Copilot, or similar tools to improve productivity, code quality,
documentation, testing, troubleshooting, and operational workflows.
You will represent the team across OCI, Oracle, and partner organizations, communicating status, risks, dependencies, tradeoffs, and decisions clearly to stakeholders and leadership.
External Responsibilities
As a Software Engineering Manager on the Multi-cloud team, you will lead engineers responsible for designing, building, deploying, and operating Java-based cloud services, RESTful APIs, and containerized workloads on Kubernetes. You will own team execution, delivery planning, prioritization, risk management,
and operational readiness. You will partner with engineers to clarify ownership, review designs, remove blockers, and drive projects from architecture through production.
You will raise the engineering bar for reliability, scalability, security, supportability, and maintainability by improving observability, alerting, automation, testing, deployment safety, runbooks, incident response, and post-incident follow-up.
You will coach and develop engineers through feedback, mentoring, growth planning, design reviews, debugging support, and operational guidance. You will drive effective use of AI-assisted engineering tools such as Codex, Claude Code, GitHub Copilot, or similar tools to improve productivity, code quality,
documentation, testing, troubleshooting, and operational workflows.
You will represent the team across OCI, Oracle, and partner organizations, communicating status, risks, dependencies, tradeoffs, and decisions clearly to stakeholders and leadership.
