Job Description
Identifies opportunities for others to replace or upgrade server components. Validates cabling, checking network environment build and connectivity is established. Monitors and assigns work in ticketing environment, mentoring less experienced technicians or implementing technical solutions. Trains advance fix and repair techniques that align with corporate objectives and adheres to standard operating procedures (SOPs) and method of procedures (MOPs) for operational Data Center Change Control processes. Acts as a technical liaison for technical and non-technical teams, providing subject matter expertise to identify and resolve resiliency, reliability, and availability risks.
Responsibilities
Key Responsibilities
Datacenter Services Operations - Break/Fix and Hardware Maintenance
- Identifies opportunities for other team members to work with of servers and server components and main hardware to ensure efficient performance for its entire lifecycle.
- Guides and coaches less experienced technicians on best practices for the power distribution units and/or replacement hardware, removing and troubleshooting hardware without disturbing critical infrastructure, as needed.
Datacenter Services Operations - Network Configuration, Installation, and Augmentation
- Guides and instructs less experienced technicians on best practices for implementing -designed and defined network communications and solutions, signing off on client configurations within environments.
- Validates cabling, checking network environment build and connectivity is established, verifying that devices are connected and error free.
Technical Support and Trouble Shooting - Technical Support and Trouble Shooting
- Monitors and assigns work in ticketing environment, mentoring less experienced technicians or implementing technical solutions to enhance and/or troubleshoot the system within Service Level Agreements (SLAs) against assigned ticket, potentially identifying and escalating trends, and documenting steps or resolutions involved in maintaining the environments.
Safety and Compliance - Safety, Security, Compliance, and Documentation
- Oversees adherence to all established Standard Operating Procedures (SOPs)/Maintenance Operation Protocols (MOPs) when performing tasks, ensuring all work stays in sync with site rules, colocation vendor rules, and signs‑off within a data center and/or customer site environments.
- Upholds and ensures established security procedures, considering applicable local regulations, conducting functional testing of security.
- Ensures compliance with health and safety guidelines (including personal protection equipment, site access, or specific data site compliance) during on‑site work at customer locations and at office, with limited supervision.
Continuous Improvement
- Trains advance fix and repair techniques that align with corporate objectives and adheres to SOPs and MOPs for operational Data Center Change Control processes.
- Identifies repeating problems or trends, escalating issues to senior peers and/or external experts, operations team, and engaging global team about local issues.
- Analyzes issues for repeating problems or trends, escalating identified issues to external experts and operations team, and engaging global team about local issues.
Collaboration, Vendor Relations, and Leadership - Collaboration, Vendor Relations, and Leadership
- Leads collaboration efforts with project teams/colocation partners to properly test and validate the installation, operation, and performance of electrical/mechanical systems and coordinate site utility requirements.
- Acts as a technical liaison for technical and non-technical teams, providing subject matter expertise to identify and resolve resiliency, reliability, and availability risks.
- Ensures contractors and vendors deliver quality services and that all SLAs are being met.
- Contributes to quality assurance through process creation and training of less experienced peers.
Core Responsibilities
Planning & Execution
- Completes complex and/or ambiguous tasks in accordance with project requirements, with limited instructions. Provides guidance to team members on shifting priorities and resources according to team needs.
Collaboration & Partnership
- Collaborates across teams to lead the delivery of impactful work and provide support for critical team objectives. Leverages advanced understanding of business, stakeholder, and/or customer needs to build partnerships within and outside of team.
Problem Solving
- Develops and shares procedures to identify and resolve routine or non-routine issues, serving as an escalation point for the team. Collects and reviews data and/or information to troubleshoot complex errors.
Continuous Learning
- Embraces continuous learning by actively seeking to build knowledge and learning new skills and/or tools and staying current with trends and best practices in one's field. Seeks out and leverages feedback and advanced training to improve skills.
Continuous Improvement
- Recommends, implements, and shares improvements to improve the efficiency and effectiveness of complex processes, protocols, and workflows.
Career Level - OP4
About Us
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Senior/Staff Software Engineer (AI-Native/Claude Code/Codex) · LATAM
- Location: Anywhere in LATAM
- Job Type: 100% Remote
- Engagement: Full-time Contractor
- Payment: USD
- Project: AI-Native LegalTech / M&A SaaS Platform
- Seniority: Senior / Staff
- English Level: B2 / C1
Get to Know Darwoft
At Darwoft, we build digital products with heart. We're a Latin American technology company focused on creating impactful, human-centered software in partnership with companies around the globe.
Our remote-first culture is built on trust, continuous learning, collaboration, and strong engineering standards. We work with international teams solving complex product and technology challenges where our engineers can have a direct impact on the product.
If you're looking for a place where your technical judgment matters and where you can contribute beyond simply executing tickets, welcome to Darwoft.
About the Opportunity
We're partnering with an innovative software company building a modern transaction platform for organizations managing complex M&A processes.
The platform brings together document workflows, collaboration, approvals, diligence, transaction management, and AI-powered capabilities within a single SaaS product.
What makes this opportunity particularly different is the way the engineering team builds software.
The product has been developed using an AI-native engineering approach , with tools such as Claude Code, OpenAI Codex, and other AI coding agents deeply integrated into the development workflow.
We're looking for a highly experienced Senior / Staff Software Engineer who can combine strong software engineering fundamentals with this new way of building software.
This is not a traditional AI/ML Engineer role .
You won't be training machine learning models or working primarily on Data Science. Instead, you'll be engineering production software, navigating a large existing codebase, making architectural decisions, improving reliability, and using AI coding agents to dramatically increase development velocity.
The ideal person is a builder first : highly technical, pragmatic, product-oriented, low-ego, and comfortable taking ownership of complex systems.
What You'll Be Doing
- Navigate, understand, and evolve a large existing production codebase.
- Design and implement new product capabilities across a complex SaaS platform.
- Make pragmatic architectural and system design decisions as the product continues to scale.
- Identify technical debt, architectural risks, reliability issues, and opportunities for improvement.
- Use Claude Code, Codex, Cursor, Copilot, or similar AI coding agents extensively throughout the software development lifecycle.
- Leverage AI agents to explore codebases, design implementations, generate and refactor code, debug issues, write tests, and accelerate delivery.
- Build and evolve backend services, APIs, integrations, data models, and application workflows.
- Contribute across the application stack when needed.
- Strengthen automated testing, maintainability, observability, reliability, and production readiness.
- Improve development workflows, tooling, automation, and engineering practices.
- Troubleshoot complex issues across application, data, and infrastructure layers.
- Balance development speed with software quality and long-term maintainability.
- Work closely with product leadership to translate business problems into effective technical solutions.
- Help a small engineering team achieve significantly greater development leverage through AI-assisted engineering.
What You Bring
- Strong professional experience building and operating production software systems .
- Excellent software engineering fundamentals, including architecture, system design, debugging, testing, and maintainability .
- Experience working with large or complex existing codebases .
- Strong backend or full-stack engineering experience using modern programming languages and frameworks.
- Experience building modern web applications and SaaS products .
- Strong understanding of APIs, application architecture, integrations, data modeling, and distributed systems .
- Experience with relational databases and production data environments.
- Strong understanding of automated testing and modern software development practices.
- Familiarity with cloud environments, CI/CD pipelines, deployments, and production operations.
- Ability to reason through technical trade-offs and make pragmatic architectural decisions.
- Strong ownership and ability to work independently in an evolving product environment.
- Product mindset: you understand not only how to build something, but also why it should be built.
AI-Native Engineering Experience
Hands-on experience using AI development tools is especially important for this position.
We're particularly interested in engineers who actively use tools such as:
- Claude Code
- OpenAI Codex
- Cursor
- GitHub Copilot
- Windsurf
- Other AI coding agents or agentic development tools
More importantly, we're looking for someone who uses AI beyond code completion.
You should be comfortable using AI to:
- Understand unfamiliar codebases.
- Investigate architecture and dependencies.
- Design implementations.
- Generate and refactor production code.
- Debug complex issues.
- Create and improve automated tests.
- Review code and identify potential issues.
- Automate repetitive engineering tasks.
- Accelerate delivery while maintaining engineering quality.
We're looking for someone who sees AI as a core engineering tool , while still bringing the technical judgment required to make strong software and architectural decisions.
Nice to Have
- Experience working in early-stage or high-growth product companies .
- Previous experience as a Staff Engineer, Principal Engineer, Tech Lead, Founding Engineer, or similar high-ownership role .
- Experience building AI-powered SaaS products.
- Experience integrating LLMs or AI APIs into production applications.
- Experience with document-heavy or workflow-intensive platforms.
- Experience designing authorization systems, permissions, RBAC, and auditability.
- Experience with LegalTech, FinTech, transaction platforms, Private Equity, or other complex B2B SaaS products.
- Experience improving engineering productivity through developer tooling and automation.
What Success Looks Like
Success in this role goes beyond writing more code.
You’ll help the team ship significantly faster while simultaneously strengthening the architecture, reliability, maintainability, and technical maturity of the platform .
The goal is to combine strong engineering judgment with AI-native development practices to dramatically increase what a small engineering team can build.
What Darwoft Offers
- Contractor agreement with payment in USD
- 100% remote work
- Argentina's public holidays
- English classes
- Referral program
- Access to learning platforms