Webflow Developer & Webmaster (Remote / Part-Time)
At Rumzer, we are building something special, and we are looking for a talented, self-motivated Webmaster to help us grow.
We are seeking a dedicated professional to take ownedata-specific observability platforms such as SYNQ.
Experience modernizing or migrating legacy orchestration and ingestion solutions such as Boomi or AWS Data Pipeline.
Experience with service-management and change-control tools such as Freshservice and Jira.
Experience operating in healthcare, life sciences, financial services, or another regulated environment.
Familiarity with HIPAA, GDPR, FDA-related controls, least-privilege access, separation of duties, and audit-ready operational practices.
WHAT YOU WILL DO
Provide senior technical ownership for the Cloud / DevOps service tower during the LatAm coverage window, including day-to-day operations, complex troubleshooting, and L2/L3 escalation.
Operate, maintain, and improve AWS infrastructure supporting the Data Platform, including Amazon EKS, S3, EventBridge, SQS, API Gateway, Lambda, and related services.
Administer Kubernetes-hosted workloads and Argo Workflows, including deployment, scheduling, monitoring, troubleshooting, capacity management, resiliency, and recovery.
Define and improve standards for Infrastructure as Code, configuration management, CI/CD, release execution, rollback, and environment consistency, primarily using Terraform and Git-based delivery practices.
Lead the consolidation and improvement of observability across infrastructure and data workloads, linking alerts to operational evidence from Argo, dbt, Snowflake, and supporting runbooks.
Improve alert routing and escalation workflows across tools such as Splunk, Opsgenie, PagerDuty, Microsoft Teams, and data-specific observability platforms.
Lead or support major incident response, root-cause analysis, post-incident reviews, and corrective actions, with clear communication to technical and service stakeholders.
Design and implement reliability improvements such as selective auto-remediation, dependency-aware alert correlation, impact analysis, and automation of repetitive operational work.
Track and contribute to service metrics including availability, SLA compliance, alert volumes, workflow reliability, deployment outcomes, and mean time to restore service.
Apply disciplined change-management, access-control, secrets-management, auditability, and documentation practices appropriate for a HIPAA-, GDPR-, and FDA-regulated environment.
Create and maintain runbooks, operating procedures, architecture context, recovery procedures, and knowledge-transfer materials.
Mentor Middle-level engineers, review technical work, improve team practices, and promote consistent execution across the distributed team.
Participate in the Cloud / DevOps on-call rotation for critical incidents outside staffed service hours.
PERKS AND BENEFITS
Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
Exciting projects: Modern solutions with Fortune 500 and top product companies.
Flextime: Adaptable schedule with remote and office options.
Requirements
6+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps or Site Reliability Engineering
Deep hands-on expertise with AWS production environments, including cloud architecture, security, networking 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 pipeliduction environments, including warehouse configuration and sizing, performance and consumption monitoring, object lifecycle, environment hygiene,



and support for production changes.
Administer data access within established controls, including users, roles, service accounts, secrets, and credential rotation, while maintaining least‐privilege and audit‐ready practices.
Operate and improve data ingestion across Fivetran, HVR where applicable, and custom pipelines, including connector configuration, scheduling, source onboarding, schema‐change coordination, failure recovery, backfills, and dependency management.
Design, build, and maintain reliable pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers, with appropriate testing, documentation, lineage, version control, and CI/CD practices.
Support AWS S3 data‐lake operations, including raw and landing‐zone workflows, lifecycle and retention controls, access patterns, logging, ingestion failures, and coordination with downstream Snowflake workloads.
Support Argo Workflows and Kubernetes‐hosted data workloads in close coordination with the Cloud / DevOps team, including scheduling, troubleshooting, deployment, recovery, and capacity dependencies.
Define and improve data quality and observability standards, including freshness, zero‐row, row‐count growth, null, duplicate, schema‐drift, and referential‐integrity checks.
Expand end‐to‐end monitoring and lineage using tools such as SYNQ, dbt, Snowflake audit data, Splunk, and the agreed alerting stack, linking actionable alerts to evidence and runbooks.
Lead or support major data incidents, root‐cause analysis, post‐incident reviews, and preventive actions across ingestion, orchestration, Snowflake, and downstream Tableau dependencies.
Support Tableau Cloud operations where upstream data, connectivity, permissions, extracts, or refresh failures require Data Platform investigation.
Identify and deliver standardization, automation, reliability, performance, and cost improvements, including migration of suitable legacy or custom extraction patterns toward agreed golden paths.
Execute work through controlled incident, request, access, change, and release processes using established service‐management workflows.
Create and maintain runbooks, operating procedures, architecture context, ownership information, recovery procedures, and knowledge‐transfer materials.
Mentor Middle‐level engineers, review technical work, improve team practices, and ensure effective handoffs across the distributed service team.
Participate in the Data Platform on‐call rotation for critical incidents outside staffed service hours.
MUST HAVES
5+ years of professional experience in Data Engineering or Data Platform Engineering.
Strong hands‐on experience operating and developing solutions on Snowflake, including data‐layer design, warehouse performance, access patterns, and production troubleshooting.
Advanced SQL skills and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment.
Experience operating managed ingestion tools such as Fivetran or HVR and supporting custom data‐ingestion pipelines.
Hands‐on experience with AWS data services, particularly S3 and event‐driven or file‐based ingestion patterns.
Experience orchestrating and troubleshooting data workloads with Argo Workflows on Kubernetes, or comparable workflow‐orchestration technologies.
Proficiency in Python or a comparable language for data engineering, automation, and operational tooling.
Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation, and production data quality.
Experience with observability, logging, alerting, and incident‐management practices for production data platforms.
Demonstrated ability to lead complex incident resolution, perform root‐cause analysis, and convert findings into preventive improvements.
Ability to make well‐reasoned technical decisions, identify tradeoffs, estimate work, and guide improvements using Docker and Kubernetes.
Design and improve observability across infrastructure and applications.
Implement monitoring, dashboards, alerts,



and centralized logging using technologies such as:
Prometheus
Grafana
AWS CloudWatch
OpenSearch / Elasticsearch
ELK
Participate in production incident response, troubleshooting, mitigation, and root cause analysis.
Identify recurring operational issues and automate their resolution.
Implement AWS and Kubernetes security best practices.
Collaborate with Security teams to strengthen infrastructure security and support compliance initiatives.
Improve platform resilience, high availability, scalability, and disaster recovery capabilities.
Optimize AWS resource utilization and contribute to cloud cost optimization and FinOps initiatives.
Automate operating system and infrastructure configuration using Ansible or similar tools.
Develop operational tooling and automation using Python and Bash.
Collaborate with Engineering teams on platform architecture and deployment strategies.
Continuously evaluate new DevOps, cloud, Kubernetes, observability, and platform engineering technologies.
What You Bring
5–8+ years of experience working in DevOps, Platform Engineering, Site Reliability Engineering, Cloud Engineering, or similar roles.
Strong hands-on production experience with AWS.
Strong experience managing Kubernetes clusters, ideally Amazon EKS.
Advanced experience with Terraform and Infrastructure as Code.
Strong experience with Docker and containerized environments.
Hands-on experience building and maintaining CI/CD pipelines with:
GitHub Actions
Jenkins
GitLab CI
or similar platforms
Strong Linux administration skills.
Experience with configuration management tools such as Ansible.
Good scripting and automation capabilities with:
Python
Bash
Experience implementing observability using technologies such as:
Prometheus
Grafana
CloudWatch
OpenSearch / Elasticsearch
ELK
Strong understanding of networking concepts including:
VPCs
Subnets
Load Balancers
DNS
VPNs
Firewalls
Routing
Security Groups
Experience troubleshooting complex distributed systems and production environments.
Solid understanding of cloud security and infrastructure security best practices.
Experience supporting highly available, production-grade 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 Stack
You'll work with technologies including:
AWS
Kubernetes / EKS
Docker
Terraform
Ansible
GitHub Actions
Jenkins
Linux
Python
Bash
Prometheus
Grafana
CloudWatch
OpenSearch / Elasticsearch
Nice to Have
Experience with HashiCorp Nomad.
Experience with HashiCorp Consul.
Broader experience with the 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:
#J-*****-Ljbffr

📌 Remote Webflow Webmaster (Part-Time) – Build & Optimize (Neuquén)
🏢 Bigmedia
📍 Neuquén