Argentina – RemoteCordoba, ArgentinaFull timeR*****About UsProofpoint is a global leader in human‐ and agent‐centric cybersecurity.
We protect how people, data, and AI agents connect across email, cloud, and collaboration tools.
Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows.
Our mission is simple: safeguard the digital world and empower people to work securely and confidently.
Join us in our pursuit to defend data and protect people.How We WorkAt Proofpoint you'll be part of a general team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:Bold in how we dream and innovateResponsive to feedback, challenges and opportunitiesAccountable for results and best in class outcomesVisionary in future focused problem‐solvingExceptional in execution and impactThe RoleThe Security Products and Services Group is the core of Proofpoint's success, and you will be contributing to our efforts to do what we do, even better.
As a Staff Software Engineer on the D1X pipeline team, you will be focused on the back‐end systems that power our industry leading products focused on email Security.
These highly sophisticated systems are responsible for protecting the corporate email platform of some of the largest brands in the world.
We are looking for someone who is an outstanding team player with a positive attitude and high energy, to help us deliver state‐of‐the‐art products.What You'll DoLead efforts to design, implement software and support systems using industry best‐practicesServe as a technical leader and mentor – conduct design reviews, guide junior engineers, and influence the team's technical roadmapCollaborate with engineers and business stakeholders to identify and implement software solutions to business problemsEstablish and enforce data quality standards – implement validation frameworks, anomaly detection, and SLA‐driven alerting to ensure data reliabilityTroubleshoot and resolve production incidents, perform root‐cause analysis, and drive preventive improvementsDefine and drive engineering best practices: code reviews, CI/CD for data pipelines, and DataOps principlesWhat We're Looking ForBachelor's degree in computer science or similar technical field of study8+ years of professional software or data engineering experience, with at least 4 years focused on cloud data platformsStrong Python programming skills.
Proficiency in coding in any other language, preferably Java and GolangStrong understanding of highly distributed architectureExperience working with secured APIs (REST, GraphQL, etc)Cloud computing experience (AWS, GCP, Azure, or similar)Experience in Docker and Kubernetes, preferredExperience working with observability and monitoring tools (Grafana, Kibana, etc)Strong experience working with agile development teamsUnderstanding of best practices in performance tuningExcellent communication, planning and organizational skillsWhy Proofpoint?
At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package.
Here are just a few reasons you'll love working with us:Competitive compensationComprehensive benefitsCareer success on your termsFlexible work environmentAnnual wellness and community outreach daysAlways on recognition for your contributionsGlobal collaboration and networking opportunitiesOur CultureOur culture is rooted in values that inspire belonging, empower purpose and drive success‐every day, for everyone.We encourage applications from individuals of all backgrounds, experiences, and perspectives.




If you need accommodation during the application or interview process, please reach out to .
Equal Opportunity StatementProofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.Senior/Staff Software Engineer (AI‐Native/Claude Code/Codex) · LATAMLocation: Anywhere in LATAMJob Type: 100% RemoteEngagement: Full‐time ContractorPayment: USDProject: AI‐Native LegalTech / M&A; SaaS PlatformSeniority: Senior / StaffEnglish Level: B2 / C1Get to Know DarwoftAt 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 OpportunityWe'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 DoingNavigate, 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 BringStrong 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 ExperienceHands‐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 CodeOpenAI CodexCursorGitHub CopilotWindsurfOther AI coding agents or agentic development toolsMore 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 HaveExperience 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 LikeSuccess 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 OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platforms
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📌 Staff Engineer - Architecture (Santa Fe)
🏢 Naranja X
📍 Santa Fe