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-orienysis, and automation of repetitive operational work.Track and contribute to service metrics including availability, SLA compliance, alert volumes, workflow reliability, deployment outcomes, and mean time to restore service.Apply disciplined change-management, access-control, secrets-management, auditability, and documentation practices appropriate for a HIPAA-, GDPR-, and FDA-regulated environment.Create and maintain runbooks, operating procedures, architecture context, recovery procedures, and knowledge-transfer materials.Mentor Middle-level engineers, review technical work, improve team practices, and promote consistent execution across the distributed team.Participate in the Cloud / DevOps on-call rotation for critical incidents outside staffed service hours.PERKS AND BENEFITSProfessional growth : Mentorship, TechTalks, and personalized growth roadmaps.Competitive compensation : USD-based pay with education, fitness, and team activity budgets.Exciting projects : Modern solutions with Fortune 500 and top product companies.Flextime : Versátil schedule with remote and office options.Requirements6+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps or Site Reliability EngineeringDeep hands-on expertise with AWS production environments, including cloud architecture, security, networking fundamentals, access management, monitoring, capacity, and operational troubleshooting.Advanced experience with Kubernetes and Amazon EKS, including workload deployment, cluster and application troubleshooting, observability,



scaling, upgrades, access, and reliability.Hands-on experience operating Argo Workflows or a comparable orchestration platform supporting production data workloads.Strong experience with Infrastructure as Code, preferably Terraform, and with source-controlled configuration, CI/CD, release automation, and rollback practices.Strong experience designing and operating observability, logging, monitoring, alerting, and incident-routing solutions for distributed production platforms.Demonstrated ability to lead major incidents and cross-functional troubleshooting across infrastructure, applications, data pipelines, and analytics layers.Experience operating production platforms with defined service levels, escalation paths, runbooks, change controls, release processes, and on-call responsibilities.Strong working knowledge of modern data platforms, including Snowflake, S3-based data lakes, SQL, dbt, managed ingestion tools such as Fivetran or HVR, and custom data pipelines.Understanding of data quality, freshness, lineage, schema evolution, pipeline dependencies, backfills, and recovery procedures.Proficiency in Python, Shell, Bash, or comparable languages for automation and operational tooling.Ability to make well-reasoned architecture and operational decisions, communicate tradeoffs, estimate work, identify risks, and guide teams through change.Proven experience mentoring engineers, reviewing technical work, delegating ownership, and improving engineering processes across a distributed team.Strong stakeholder-management and communication skills, including the ability to collect requirements, explain technical risks, and present recommendations to client leaders.Strong written and verbal English communication skills.Availability to work within the LatAm service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed senior escalation and on-call rotation.
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📌 Senior Software Engineer, Developer Productivity — Remote (Mendoza)
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