Senior Network Reliability Engineer

Jpmorganchase; Buenos Aires; A distancia; ARS 36.219.000 - 54.328.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in 0

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Prometeo Talent is seeking a Senior Systems Engineer to own and scale our core email infrastructure. You will manage MTAs (Postfix, Postal), Dovecot IMAP/POP3, and load-balancing with HAProxy, ensuring ultra-high availability and reliability.

You will drive deliverability authentication (SPF/DKIM/DMARC) and implement automated throttling, warm-up strategies, and edge security measures. This role emphasizes monitoring, incident response, and secure, scalable infrastructure across global

Formación

• 5+ years of experience as a Linux Systems Administrator, DevOps, or Infrastructure Engineer with deep networking knowledge.
• Expert-level proficiency configuring, debugging, and optimizing enterprise mail tools such as Postfix, Dovecot, or Postal.
• Hands-on experience with mail filtering and anti-abuse tools like Rspamd and Fail2Ban.
• Proven experience building log pipelines using Vector or similar telemetry frameworks.
• Strong understanding of DNS, SPF, DKIM, DMARC, BIMI and email deliverability concepts.

Responsabilidades

• Infrastructure Management & High Availability: maintain MTAs, IMAP/POP3, load balancing, and replica DB setups.
• Deliverability Engine & Authentication: manage SPF/DKIM/DMARC and warm-up plans for IPs/domains.
• Edge Security & Anti-Abuse: implement automated blocking, spam filtering, and delisting workflows.
• Observability & Monitoring: build log pipelines, dashboards, and incident response tooling.

Conocimientos

Linux Systems

MTA configuration

Postfix

Dovecot

PostgreSQL replication

DMARC/DKIM/SPF

HAProxy

FRRouting

Rspamd

Fail2Ban

Vector

Herramientas

Postfix

Dovecot

HAProxy

FRRouting

PostgreSQL replication

Descripción del empleo

Senior Systems Engineer - Email Deliverability & Infrastructure

Hoy

• Location: Fully Remote (Global)
• Compensation: $24k to $36k USD Yearly
• Position Type: Full-Time Contract

• Location: Fully Remote (Global)
• Compensation: $24k to $36k USD Yearly
• Position Type: Full-Time Contract

Role Overview

We are seeking a highly technical, impact-driven Senior Systems Engineer to own, scale, and protect our core email transmission infrastructure. In this role, your golden rule will be Reputation Above All . You are not just managing email lists or monitoring dashboards; you will architect and maintain the high-availability server infrastructure, Mail Transfer Agents (MTAs), and automated defensive systems that ensure our legitimate traffic hits the inbox while bad actors are ruthlessly contained.

The ideal candidate bridges the gap between deep Linux systems administration, network engineering, and advanced email deliverability strategy. You will have a massive impact on the company by safeguarding our global IP/domain reputation, minimizing blast radiuses, and ensuring zero-downtime mail operations across our entire infrastructure network.

Core Responsibilities 1. Infrastructure Management & High Availability

• MTA Optimization: Maintain and configure core MTAs (Postfix , Postal ) and IMAP/POP3 servers (Dovecot ), ensuring graceful reloads over restarts to prevent dropping active connections.
• Traffic Routing & Load Balancing: Utilize HAProxy and network routing protocols (like BGP via FRRouting ) to distribute outbound traffic and architect high-volume failover mechanisms.
• Redundancy & Failover: Administer backend infrastructure databases (PostgreSQL replica setups) and maintain dedicated "Block" backup/archive servers to instantly take over the workload of a failed primary "Cube" server.
• Architectural Segregation: Maintain strict workload isolation across our infrastructure network—separating standard nodes for mail stacks, specialized injection nodes (Postal), and separate archiving/backup systems to prevent high-volume senders from degrading performance.

2. Deliverability Engine & Authentication Protocol Architecture

• Protocol Enforcement: Act as the absolute technical authority on DNS and authentication setups, maintaining flawless configurations for SPF (navigating the 10-lookup limit), DKIM (key rotation and forwarding protection), DMARC (safely driving policies toward p=reject), and BIMI .
• Traffic Throttling: Implement automated, MTA-level dynamic throttling to handle 4xx deferrals instantly, preventing a single high-volume sender from triggering global rate limits across our shared IP pools.
• Warm-up Strategy: Design and guide automated IP/Domain Warm-up Plans for new infrastructure, managing incremental volume scaling over 2–4 week cycles.

3. Edge Security, Anti-Abuse & Incident Response

• Outbound Spam Filtering: Configure and optimize Rspamd to actively scan, flag, and quarantine highly spammy content before it exits our network.
• Edge Defense: Deploy automated connection-dropping systems (Fail2Ban , custom SMTP blocker scripts) to mitigate authenticated attacks, brute-force attempts, and malicious traffic.
• Blast Radius Mitigation: Program and maintain a dynamic IP pooling engine ("The Penalty Box") to instantly isolate accounts displaying poor metrics (bounces, FBL spikes) away from prime Tier-1 IP pools.
• Blocklist Remediation: Act as the primary responder to major DNSBL (e.g., Spamhaus ) listings. Leverage log analysis to locate the root cause account, plug the security leak, and submit expert delisting requests.

4. Observability & Monitoring

• Log Shipping Architecture: Build and manage high-performance log aggregation pipelines using Vector to ship system and MTA data into a centralized repository for real-time auditing and incident response.
• Network Auditing: Utilize IPAudit and custom tools to continuously scan for bandwidth anomalies, connection spikes, or compromised user credentials.
• Dashboard Management: Actively monitor ISP infrastructure portals daily (Google Postmaster Tools , Microsoft SNDS , Yahoo Sender Hub ) along with third-party tracking tools (GlockApps , Validity/ReturnPath , MXToolbox , DMARCian ).

Requirements

Must-Have Technical Stack & Skills:

• Systems Engineering Background: 5+ years of experience as a Linux Systems Administrator, DevOps, or Infrastructure Engineer with deep networking knowledge (TCP/IP, routing, ports, DNS management).
• MTA Mastery: Expert-level proficiency configuring, debugging, and optimizing enterprise mail tools such as Postfix , Dovecot , or Postal .
• Security & Filtering: Hands-on experience writing rules and maintaining mail-filtering/anti-abuse applications like Rspamd and Fail2Ban .
• Observability Pipelines: Proven experience building or maintaining log pipelines using Vector or similar high-scale telemetry frameworks.
• Infrastructure Automation: Experience implementing network routing layer tools (HAProxy , FRRouting ) and relational databases (PostgreSQL replication).
• Certificate Management: Strong familiarity with automated SSL/TLS certificate rotation and multi-node compliance monitoring to ensure broken TLS never causes silent drops.

Deliverability & Operational Standards:

• Deep comprehension of the difference between Delivery (server handoff) and Deliverability (inbox placement).
• Expert parsing of aggregate DMARC reports using platforms like DMARCian, Valimail, or Postmark.
• Strict commitment to Acceptable Use Policies (AUP): zero tolerance for purchased/scraped lists and a firm grasp on Feedback Loop (FBL) automated triage.

Key Performance Indicators (KPIs)

Your success in this role will be directly measured by your ability to keep our infrastructure metrics pristine:

• Global Infrastructure Spam Complaint Rate: Maintained strictly under 0.1% .
• Global Hard Bounce Rate: Kept consistently below 2.0% .
• Infrastructure Uptime: 99.99% availability across all outbound MTAs and mail relays.
• Incident Isolation Time: Transitioning high-risk or abusive senders to the "Penalty Box" or circuit-breaking campaigns within minutes of a threshold breach.

Benefits

This is a highly technical systems engineering role, not a marketing or email campaign management position. To be considered, you must have hands‑on experience configuring Linux mail servers at the command-line level. Please confirm upon applying that the compensation range of $24,000 to $36,000 USD per year aligns with your expectations.

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.

vidIQ builds software to help YouTube creators achieve their goals. Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools. We are dedicated to our values of being creator-obsessed, lean and fast, and scientific. Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.

Imagine a product that reached over a million users without a traditional sales team. This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential. That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.

Discover more about vidIQ firsthand at

About the Team

Our vision is to build a personal copilot for every YouTube creator. We work in small, focused teams where people are expected to understand the problem, make decisions, and take ownership of the outcome.

We value people who are strong in their craft, communicate clearly, challenge ideas with respect, and follow through from problem to production.

We’re also an AI-native team. We build AI into our product and use it every day in how we work—from writing and reviewing code to debugging, testing, prototyping, and exploring new ideas.

About the role

This is a frontend-leaning role, but you won't stop at the frontend. You'll own entire product surfaces from end to end: the UI, the APIs behind it, the data it depends on, and how it performs in production. We expect you to understand the problem, decide what to build, and ship it.

You'll shape how millions of creators experience vidIQ, and you'll help define how our engineering team builds software now that AI is a real collaborator.

This is a remote position open to candidates worldwide. Employment classification and engagement structure will be determined based on location, legal requirements, and mutual fit.

What you will do:

Own product surfaces end to end. You'll be the go-to owner for key parts of vidIQ, we serve over 1M daily active creators. You'll set their direction, track how they perform, and decide what to improve next.

Work across the stack. You'll build and change backend APIs, services, and data flows when a feature needs it, instead of waiting on another team.

Drive your own roadmap. You'll spot opportunities in user feedback, data, and the codebase, turn them into proposals, align with product and design, and deliver without needing to be managed closely.

Build AI-powered product experiences. You'll ship LLM-driven features across the stack, from model integration and prompts on the backend to streaming responses, error handling, and clear UX when model output is unpredictable.

Fix architecture and performance problems. You'll find bottlenecks and weaknesses anywhere in the request path, frontend or backend, and leave the system better than you found it.

Make AI part of how the team works. You'll use tools like Claude Code, Cursor, and GitHub Copilot every day, share what works, and help set team practices for using AI responsibly.

Improve durability. You'll test important workflows, add useful monitoring and error reporting, and own what you ship after it's live, whether you wrote every line or reviewed and refined AI-generated code.

Raise the bar through review and mentorship. You'll review code from other engineers, AI-assisted or not, and give feedback that helps others grow.

About You

You have at least 5 years of professional software development experience.

You're strongest on the frontend, but you're comfortable on the backend. You can design an API, write server-side code, work with databases, and debug problems that cross the client-server boundary.

You're self-driven. You don't need a detailed spec to get started, and you're happy making decisions, asking the right questions, and moving work forward on your own.

You act like an owner. When something you're responsible for breaks, underperforms, or confuses users, you notice and fix it before anyone asks.

You've led projects from concept to completion, including documenting the work and teaching others about it.

You care about product quality and leave codebases in better shape than you found them.

You write and speak clearly, and you can explain technical concepts to non-technical people.

You're confident with TypeScript, React, Next.js, Vite, and Tailwind.

You're a heavy, thoughtful user of AI tools. AI coding assistants and agents are part of how you plan, build, debug, test, and review every day. You know where they save you hours and where they fail, and you check AI output as carefully as you'd check a teammate's pull request.

You keep up with the fast-moving AI landscape and like trying new models, tools, and workflows.

Nice to have

Backend experience with Node.js , Scala, and/or Python, plus relational databases, caching, and queues

Experience with Redux, Redux Saga, and/or Zustand

Experience building LLM-powered features, such as streaming UIs, model APIs, prompt design, or evals

Experience with agentic coding workflows, such as running AI agents on multi-step tasks, writing custom rules or context files, or using MCP servers

Perks and Benefits

Work Remotely: Embrace the freedom to choose your ideal workspace anywhere in the world.

Flexible Time Off: We support a flexible vacation policy allowing you to take time off when you need to recharge.

Communication Stipend: Enjoy a monthly stipend to cover your phone and internet expenses, helping you stay connected effortlessly.

Global Impact: Join our diverse team that’s shaping the future of the creator economy across the globe.

Competitive Compensation: vidIQ believes in offering competitive compensation that reflects your skills, experience, and contributions. We ensure fairness through internal equity and geo-location based pay, with the upper range reserved for individuals demonstrating exceptional job knowledge and skills.

Our Commitment

At vidIQ, we dedicate ourselves to enabling creators of all kinds to succeed. We prioritize attracting diverse talent and fostering an environment that encourages collaboration, creativity, and personal growth. We are committed to building a company and a community where individuals thrive by being true to themselves and are inspired to do their best work every day.

We would love to hear from you.

Disclaimer – Must read: Commitment & Focus
This role requires full-time dedication, with clear priority given to Darwoft projects during the established working hours.
It is not compatible with other full-time professional engagements.
Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities or working hours of this role.

Location: Anywhere in LATAM
Job Type: Remote
Project: Fintech Conversational AI Platform
Time Zone: Flexible within LATAM
English Level: B2 / C1

Location: Anywhere in LATAM
Job Type: Remote
Project: Fintech Conversational AI Platform
Time Zone: Flexible within LATAM
English Level: B2 / C1

Get to Know Us – Darwoft

At Darwoft , we build digital products with heart. We're a Latin American tech company focused on creating impactful, human-centered software in partnership with clients around the world. Our remote-first culture is rooted in trust, continuous learning, and collaboration.

But above all, Darwoft is a place defined by adaptability. Growth isnt optional here — its part of how we operate. Theres no stagnation or comfort zone; instead, youll find a genuine and sometimes rare openness to change. The company provides the challenges and opportunities needed to grow, along with the support to take them on.

Leadership inspires by example without expecting imitation — authenticity matters deeply to us. Flexibility is in our DNA. It empowers us to make smart decisions and, more importantly, to question and improve them as processes naturally evolve over time.

Darwoft has a vibrant, genuine culture — one that reflects our crew, not just a statement of intent.

If you're looking to join a team where your ideas matter and your impact is real, welcome to Darwoft.

About the Role – AI Engineer (Agentic Systems / LLMs)

We're partnering with a fast-growing fintech project focused on building an AI-powered conversational platform used by thousands of users in the United States. The product goes far beyond traditional chatbots, leveraging Large Language Models (LLMs) and autonomous AI agents to handle complex, multi-step workflows related to financial operations.

We're looking for a Senior AI Engineer to join a core AI initiative, working hands-on on the design, development, and scaling of agentic systems in production. In this role, you'll help evolve conversational experiences into advanced multi-agent architectures capable of reasoning, planning, and executing actions autonomously.

Your work will have direct impact on real users and real business outcomes.

What Youll Be Doing

• Design, build, test, and deploy autonomous AI agents using Python and modern agentic frameworks.
• Develop LLM-based systems that go beyond simple Q&A, enabling reasoning, planning, and execution across multi-step workflows.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases to ensure accurate, grounded responses.
• Integrate AI agents with internal services, APIs, and production systems in collaboration with engineering and product teams.
• Build evaluation, monitoring, and optimization pipelines for LLM-powered systems, focusing on accuracy, latency, reliability, and cost.
• Apply advanced prompt engineering techniques and tool/function calling to enhance agent capabilities.
• Stay current with the latest advancements in Generative AI, LLMs, and agentic architectures , applying best practices to production systems.

What You Bring

• 5+ years of experience in professional software development.
• 2+ years of hands-on experience building and deploying AI / Generative AI solutions in production .
• Strong proficiency in Python .
• Solid experience working with LLMs and agentic frameworks (OpenAI SDK, LangChain, LlamaIndex, CrewAI, or similar).
• Proven experience with agentic systems , including memory/state management and multi-agent workflows.
• Experience working with vector databases and RAG-based architectures.
• Strong understanding of software engineering fundamentals: Git, testing, CI/CD pipelines.
• Ability to translate business requirements into scalable, maintainable technical solutions.
• Strong communication skills in English within a fully remote environment.

Nice to Have

• Experience in fintech, payments, fraud detection, or financial platforms.
• Experience evaluating and optimizing LLM systems in production (A/B testing, observability).
• Contributions to open-source projects or public technical repositories.
• Experience working in fast-paced, high-growth product environments.

What Darwoft Offers (Contractor)

• Contractor agreement with payment in USD
• 100% remote work
• Argentinas public holidays
• English classes
• Referral program
• Access to learning platforms

Explore this and other opportunities at:

At Prometeo Talent , we connect top-tier tech and engineering professionals with companies that are shaping the future. With a strong presence across America and Europe , we’re proud to be one of the highest-rated recruitment agencies in the market. We're currently partnering with a fast-growing US-based cybersecurity startup . The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology. As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform.The Opportunity

We are looking for a Senior Backend Engineer who thrives in startup environments and enjoys building scalable systems from the ground up.

This role is ideal for engineers who combine deep backend expertise with a strong ownership mindset . You will play a key role in designing , building , and maintaining distributed systems while collaborating with a highly technical and fast-moving team.

The ideal candidate has extensive experience with Java and Python , enjoys solving complex engineering problems, and embraces AI-assisted development workflows to increase productivity without compromising quality.

Responsibilities

• Design, build, and maintain scalable backend services using Java and Python.

• Develop distributed systems involving databases, APIs, message queues, and data processing pipelines.

• Take full ownership of features and services throughout their lifecycle, from design and implementation to monitoring and optimization.

• Build production-ready systems with a strong focus on reliability, performance, and maintainability.

• Collaborate closely with product and engineering teams to translate business requirements into technical solutions.

• Improve system performance, scalability, and operational efficiency across the platform.

• Leverage AI-assisted development tools to accelerate delivery while ensuring code quality and engineering best practices.

• Participate in architectural discussions and contribute to key technical decisions as the company scales.

• Continuously improve development processes, tooling, and engineering standards.

Requirements

• 8+ years of experience in software engineering or backend development.

• 5+ professional experience with Python , building and maintaining production-grade backend systems.

• Strong experience with Java .

• Hands-on experience with AI/LLM-based application development (AI agents, agentic systems, or LLM-powered applications)

• Experience building AI-driven features, LLM integrations, or agentic workflows in production environments is highly preferred.

• Solid understanding of distributed systems, scalable architectures, and asynchronous processing.

• Experience working with databases, message queues, and data processing pipelines .

• Hands-on experience with Docker and Kubernetes in production environments.

• Proven experience building, maintaining, optimizing, and improving products after launch.

• Strong ownership mindset, autonomy, and ability to thrive in startup or fast-paced environments .

• Advanced English level

Nice to have

• Experience working in product-focused companies, owning products beyond the initial development phase.

• Experience in cybersecurity products or security-focused platforms.

• Experience with Kafka, RabbitMQ, or similar messaging systems.

• Experience building large-scale distributed data processing systems.

• Background in high-growth startups or scale-ups.

• Previous experience in large technology companies
  

What’s in it for You

100% remote work with flexibility to work from LATAM.

Join an early-stage cybersecurity startup where your work will directly impact the product and company growth.

Be part of an engineering culture that embraces modern AI-assisted development workflows.

Company-provided laptop and equipment.

Generous PTO and regional holidays.

High ownership, autonomy, and direct influence on technical decisions.

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 world.

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 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

Explore this and other opportunities at:",