Location: Anywhere in LATAMWork Model: 100% RemoteEngagement: Full-time ContractorPayment: USDProject: Identity Security / Cybersecurity PlatformSeniority: SeniorLocation: Anywhere in LATAMWork Model: 100% RemoteEngagement: Full-time ContractorPayment: USDProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEnglish Level: B2 / C****L - Senior DevOps Engineer (AWS/EKS/Terraform/CI/CD) · Remote · LATAMGet to Know DarwoftAt Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.We are a Latin American technology company with a people-first culture, strong professional standards, and a long-term partnership mindset.
We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.About the ProjectWe are partnering with an innovative cybersecurity company developing a modern Identity Security and Identity Observability platform .
The product enables enterprise security teams to monitor identity activity, identify security gaps, detect suspicious behavior, and reduce identity-related risks across cloud, Saae latest advances in AI into practical solutions.
What You'll Lead and Build
Build solutions leveraging Generative AI, Large Language Models (LLMs), and Machine Learning.
Design, develop, and deploy AI-powered applications and solutions.
Develop and integrate AI agents, APIs, and intelligent automation workflows.
Build solutions using RAG (Retrieval-Augmented Generation), embeddings, vector databases, and prompt engineering.
Integrate AI models and services from platforms such as OpenAI, Anthropic, Google, AWS, Azure, or similar providers.
Develop prototypes and Proofs of Concept (POCs) and help transform successful experiments into production-ready solutions.
Evaluate and optimize AI solutions for accuracy, reliability, performance, scalability, and cost.
Collaborate with Engineering, Product, and business stakeholders to identify opportunities where AI can create meaningful value.
Integrate AI capabilities into existing applications, platforms, and workflows.
Contribute to responsible AI practices, including security, privacy, monitoring, and appropriate use of AI systems.
Stay up to date with emerging AI technologies, frameworks, tools, and industry best practices.
Share knowledge and contribute to building AI capabilities and best practices across the organization.
What You Bring to the Table
Strong programming skills, preferably in Python.
Professional experience in Software Engineering, Artificial Intelligence,



Machine Learning, Data Science, or a related technical field.
Hands‐on experience building applications using Generative AI and Large Language Models (LLMs).
Experience integrating APIs and developing backend services.
Knowledge of prompt engineering, RAG, embeddings, vector databases, and AI agents.
Familiarity with AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, or similar technologies.
Experience working with AI APIs and platforms such as OpenAI, Anthropic, Google Gemini, or similar.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of Git, APIs, CI/CD, and modern software development practices.
Strong analytical and problem‐solving skills.
Ability to work independently in a fully remote environment.
Strong communication and collaboration skills.
Intermediate to advanced English level to collaborate effectively in an international environment.
Benefits that Move you Forward.
We're here to amplify your brilliance, not contain it.
Work from anywhere with true flexibility and freedom.
Earn in USD with compensation that matches your expertise.
Recharge confidently with dedicated paid time off.
Advance your career with fully covered international certifications.
Access coworking spaces worldwide whenever you want a professional setup.
Strengthen your English and expand your integral reach.
Connect and have fun with activities that unite our international team.
Feel appreciated with personalized gifts and a thoughtful welcome kit.
Grow our community and earn through our referral program.
At Pearster, your journey matters, and we're here to help you go further than you imagined.
AgileEngine is an Inc. **** company that creates award‐winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people‐first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE




We are looking for an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.
The mandatory requirements are 4+ years of software engineering experience on public cloud infrastructure, 2+ years with cloud deployment pipelines and Infrastructure as Code, 2+ years developing agentic models using RAG and vector databases, and the ability to partner with globally distributed engineering teams.
MUST HAVES
4+ years of software engineering experience developing applications and service cloud environments.Strong communication skills and ability to collaborate with engineering, security, QA, and business stakeholders.High degree of autonomy, ownership, and analytical problem-solving ability.Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, or a related technical discipline, or equivalent professional experience.Core Technology StackYou'll work with technologies including:AWSKubernetes / EKSDockerTerraformAnsibleGitHub ActionsJenkinsLinuxPythonBashPrometheusGrafanaCloudWatchOpenSearch / ElasticsearchNice to HaveExperience with HashiCorp Nomad .
Experience with HashiCorp Consul .
Broader experience with the HashiCorp ecosystem.Experience operating Kafka in production.Experience supporting data infrastructure based on:ClickHouseElasticsearchMongoDBRedisExperience with distributed systems and high-volume data platforms.Previous experience in cybersecurity, identity security, or security SaaS platforms .
Experience working with cloud security controls and compliance frameworks.Experience with FinOps and cloud cost optimization .
Experience designing internal developer platforms or platform engineering capabilities.Exposure to infrastructure supporting AI/ML or LLM-based applications .
What Success Looks LikeSuccess in this role means:Increasing infrastructure reliability and availability.Reducing deployment friction and improving engineering velocity.Increasing infrastructure automation and reducing manual operational work.Improving observability and reducing mean time to detection and resolution.Operating Kubernetes workloads reliably at scale.Strengthening security throughout cloud infrastructure and deployment processes.Improving AWS cost efficiency without compromising reliability.Contributing reusable platform capabilities that allow engineering teams to move faster.Continuously improving production readiness as the platform scales.What Darwoft OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platforms
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