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.
About us
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 agnetworking 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
Location: Anywhere in LATAM
Work Model: 100% Remote
Engagement: Full-time Contractor
Payment: USD
Project: Identity Security / Cybersecurity Platform
Seniority: Senior
144L - Senior DevOps Engineer (AWS/EKS/Terraform/CI/CD) · Remote · LATAM
Location: Anywhere in LATAM
Work Model: 100% Remote
Engagement: Full-time Contractor
Payment: USD
Project: Identity Security / Cybersecurity Platform
Seniority: Senior
English Level: B2 / C1
Get to Know Darwoft
At 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 Project
We 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, SaaS, network, and on-premise environments.
Its architecture relies heavily on distributed systems, real-time data processing, cloud-native infrastructure, advanced analytics, and an increasingly AI-driven security roadmap.
As the platform continues to scale, infrastructure reliability, automation, observability, security, and developer productivity are critical engineering priorities.
About the Role
We're looking for a Senior DevOps Engineer to design, automate, operate, and continuously improve the cloud infrastructure and deployment platform supporting a high-scale cybersecurity product.
You'll work primarily with AWS, Kubernetes/EKS, Terraform, Docker, CI/CD, and observability technologies, partnering closely with Software Engineering, 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 Project
We are partnering with an innovative cybersecurity company building a next-generation Identity Security and Identity Observability platform .
The product helps enterprise security teams understand how human users, service accounts, workloads, applications, and AI-driven identities access systems across cloud, SaaS, network, endpoint, and on-premise environments .
At the core of the platform is a highly data-intensive architecture that collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals .
This information is processed to identify unusual access patterns, security risks, identity blind spots, infrastructure misconfigurations, and potential threats.
The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.
About the Role
We're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.
This is not a traditional backend or internal data engineering position.
You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.
You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting .




A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time-to-production.
What You'll Be Doing
Design, develop, and maintain production-grade data collectors, connectors, and ingestion services .
Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems .
Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.
Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.
Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources .
Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices .
Develop backend services primarily using Python and/or Go .
Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
Build and operate containerized services using Docker and Kubernetes .
Deploy and integrate solutions across AWS, Azure, and GCP environments .
Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
Optimize ingestion performance, reliability, scalability, and operational efficiency.
Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.
Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
Contribute technical insights from real-world implementations to the product roadmap.
Support production adoption and continuously improve time‐to‐value for enterprise customers.
Participate in occasionathe HashiCorp ecosystem.
Experience operating Kafka in production.
Experience supporting data infrastructure based on:
ClickHouse
Elasticsearch
MongoDB
Redis
Experience 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 Like
Success 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 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:
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