Devops Engineer — Cloud Infra, Ci/Cd & Automation
Despite a DevOps-sounding title, this is a senior data engineering role at Darwoft (via recruiter Esentia): building collectors, connectors, and ingestion pipelines in Python/Go for a customer's identity-security/observability platform, integrating enterprise IdPs, SIEMs, and cloud sources on AWS/Azure/GCP with Docker/Kubernetes. 100% remote, LATAM, full-time contractor paid in USD.
- Compensation
- Not disclosed
- Location
- Rosario, Argentina
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 10+ years
- Category
- Devops
- Posted
Skills
Must have
- 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience
- Strong software development experience with Python and Go
- Strong experience designing and consuming REST APIs
- Hands-on experience building data ingestion pipelines, connector frameworks, or integration platforms
- Experience integrating complex enterprise systems and third-party platforms
- Solid understanding of both SQL and NoSQL databases
- Production experience with at least one major cloud platform (AWS, Azure, or GCP)
- Experience working with Docker and Kubernetes
- Strong understanding of Git-based development workflows and CI/CD practices
- Experience designing reliable, scalable, production-ready distributed systems
- Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines
- Experience working directly with customers, stakeholders, or technical partners
- Strong communication skills for customer-facing technical conversations
- Ability to translate complex customer requirements into pragmatic technical solutions
- High degree of autonomy and ownership on ambiguous technical problems
- English level B2/C1
Nice to have
- Experience with IAM, identity providers, identity security, or cybersecurity platforms
- SIEM systems, security telemetry, network security, or endpoint security experience
- SASE / Zero Trust or cloud security environments
- Large-scale event processing or streaming architectures
- Experience designing reusable connector SDKs or integration frameworks
- Understanding of identity security concepts (authentication, authorization, service accounts, privileged access, non-human identities)
- Experience deploying AI/ML-enabled applications; exposure to LLMs or AI agents
- Solution Architecture or Forward Deployed Engineering experience
- Previous experience in cybersecurity startups or high-growth SaaS environments
- Integration experience with platforms like Microsoft Entra ID/Active Directory, Okta, Google Workspace, Duo, CrowdStrike, Zscaler, Palo Alto, or Microsoft Defender
Full description
143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAM
- Location: LATAM
- Work Model: 100% Remote
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- Engagement: Full-time
- Location: LATAM
- Work Model: 100% Remote
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- English Level: B2 / C1
- Engagement: Full-time
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 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.