Role Description You will design and build the foundational development & infrastructure powering our agentic security platform — secure multi-tenant systems, distributed services, scalable execution layers, and the internal platform capabilities that allow our AI agents to operate reliably in production environments. You’ll work closely with founders, product, AI, and security engineering teams to build systems that are secure, observable, resilient, and scalable from day one. This role is ideal for engineers who think deeply about distributed systems, platform architecture, reliability, infrastructure, and backend scalability. In your first few months, you will: - Own end-to-end design and delivery of platform capabilities - Build and scale distributed backend services powering AI agents and customer workflows - Improve authentication, authorization, and tenant isolation across the platform - Design infrastructure and observability systems for reliability at scale - Deploy and operate production-grade systems with strong ownership beyond launch - Collaborate cross-functionally with engineering, product, customer-facing teams, and leadership to shape platform architecture and engineering standards Qualifications - 6+ years of strong backend or platform engineering experience - Strong understanding of distributed systems fundamentals - Experience designing and operating microservices at scale - Experience with authentication and authorization systems (OAuth, RBAC, JWT, SSO, IAM, etc.) - Strong knowledge of cloud infrastructure (AWS/GCP/Azure), containers, and CI/CD systems - Experience with observability tooling, monitoring systems, logging, tracing, and production debugging - Familiarity with asynchronous systems, queues, event streams, and workflow orchestration - Strong coding experience in Python, Go, Java, or Node.js - Ownership mindset — ability to take systems from concept → production → scale Requirements - Experience working on platform engineering or internal developer platforms - Experience with Kubernetes, Kafka, OpenTelemetry, Prometheus, Grafana, or similar tooling - Experience building multi-tenant SaaS platforms Benefits - Work with pioneering agentic AI security—impact global security teams. - Shape infrastructure for privacy-first technology in a high-growth startup. - Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement.

Role Description In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. We are seeking strong Software Engineers to join our customer's team with expertise in: - Python3 - Java - Rust - Go - C++ - TypeScript This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting. Qualifications - Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset. - Deep understanding of algorithms, data structures, and performance tuning. - Demonstrated experience in debugging complex software issues and delivering maintainable solutions. - Strong background in feature development and codebase refactoring. - Proven ability to optimize software for performance and scalability. - Exceptional written and verbal communication skills, with a keen attention to detail. - Track record of success in collaborative, cross-functional teams, ideally in remote settings. Requirements - Previous experience working on large-scale, distributed codebases. - Familiarity with modern AI or machine learning systems is a plus, though not required. - Background in participating in rigorous code reviews and contributing to the development of software best practices.

Role Description We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems. A Cybersecurity/SecOps background or exposure is highly preferred. - Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects. - Review, debug, improve, and explain code across different technical environments. - Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows. - Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience. - Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered. - Collaborate with the customer's team on technical reviews, implementation decisions, and problem-solving exercises. - Adapt quickly to new codebases, frameworks, and technical requirements. Qualifications - 3+ years of hands-on software engineering experience. - Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C++, Go or Rust. - Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations. - Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs. - Ability to explain complex engineering decisions clearly and objectively. - Comfortable reading and reasoning through unfamiliar code or technical requirements. Preferred Qualifications - Experience with cloud environments such as AWS, GCP, or Azure. - Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations. - Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native. - Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work. - Experience mentoring engineers, reviewing code, or making architecture decisions.

Role Description DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE! Did you know that Accenture is leading the digital transformation in the World? Qualifications - Guidewire InsuranceSuite expertise - Guidewire Configuration & Integration - Integration Architecture Implementation - Guidewire Cloud / GW Studio / EDGE APIs - P&C Insurance domain knowledge (Home/Hogar line preferred) - Stakeholder management & team leadership (SME role) Requirements - Guidewire Cloud Platform (GWCP) certification - Guidewire ACE / Specialist certifications (PC/BC/CC Config or Integration) - Experience with Santa Lucía or Spanish insurance carriers - Cloud platforms: AWS / Azure - Agile/Scrum, SAFe methodologies - Data migration tools & ETL - Mentoring / team lead experience Benefits - Career development according to your profile and interests. - Work in one of the best companies and feel proud. - Access to an innovative methodology and tools. - Direct contact with experts worldwide. - Use of work schemes and cutting-edge technologies. - Constant training. - Work environment based on teamwork and collaboration. - Participation in International Projects. Company Description Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 cities, 49 countries and approximately 743,000 employees worldwide.