We are looking for a
Senior
Genesys Cloud Engineer
to design, integrate, support, and optimize contact-center solutions.
The role combines advanced platform expertise with customer-focused teamwork and versátil service conditions
Working Hours:
This role requires close cooperation with the Spanish team during Spanish business hours,
10:00 AM–6:00 PM Spain time
(approximately
5:00 AM–1:00 PM Argentina time
).
Language Requirements:
Fluency in
both Spanish and English
is required.
Responsibilities
Design, develop, configure, and maintain Genesys Cloud CX solutions, ensuring alignment with technical and customer requirements.
Design and optimize interaction flows in Genesys Cloud Architect, including IVR, ACD, queues, bots, omnichannel interactions, callbacks, and social messaging.
Configure and optimize Genesys Cloud routing, including queues, skills, schedules, and routing rules.
Develop and maintain integrations with external systems using Genesys Cloud Platform APIs, webhooks, and Data Actions for REST/JSON APIs.
Develop and maintain Outbound Dialing configurations, including Predictive, Progressive, and Preview Campaigns, as well as recording and quality management capabilities.
Implement conversational automation using Dialog Engine Bot Flows and third-party bots through Bot Connector; configure Genesys Cloud analytics, dashboards, and reporting solutions.
Provide Level 2/3 technical support for incidents and service requests while collaborating with technical and business teams to deliver effective solutions.
Qualifications
6+ years of experience designing, developing, configuring, and maintaining Genesys Cloud CX solutions.
English B2+ and Spanish C1+ proficiency.
Hands‐on experience with Genesys Cloud Architect, including call, messaging, IVR, and bot flows.
Hands‐on experience with Genesys Cloud Platform APIs, including REST API integrations, queries, webhooks, and process automation.
Experience with Genesys Cloud Data Actions for integrating external REST/JSON APIs.
Experience configuring Genesys Cloud Outbound Dialing, including Predictive, Progressive, and Preview Campaigns.
Experience with Recording, Quality Management, Analytics, and Reporting, including recording configuration, tagging, quality assurance processes, dashboards, and Analytics APIs.
Nice to Have:
Experience with Genesys Dialog Engine Bot Flows and Bot Connector, including integrations with third‐party bot platforms such as Google Dialogflow or AWS Lex.
Experience with Workforce Engagement Management (WEM), including schedules, skills, and workforce planning.
Additional Information
Culture of Relentless Performance
: join an unstoppable technology development team with a 99% project success rate and more than 30% year‐over‐year revenue growth.
Competitive Pay and Benefits
: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.
Work From Anywhere Culture
: make the most of the flexibility that comes with remote work.
Growth Mindset
: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
Global Impact
: collaborate on impactful projects for top global clients and shape the future of industries.
Welcoming Multicultural Environment
: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team‐building company social events.
Social Sustainability Values
: join oursustainable business practicesfocused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
*Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.
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 a
Senior Cloud/DevOps Engineer
to operate and improve the cloud infrastructure and reliability layers behind an enterprise data platform in a regulated healthcare environment.
The mandatory requirements are 5+ years of experience in Cloud Engineering, DevOps, or Site Reliability Engineering, advanced hands‐on experience with
AWS EKS
and Kubernetes, experience administering and troubleshooting
Argo Workflows
, and strong English communication skills.
MUST HAVES
5+ years
of professional experience in Cloud Engineering, DevOps or Site Reliability Engineering.
Strong hands‐on experience operating
AWS infrastructure
in production environments.
Advanced experience with
Kubernetes and Amazon EKS
, including workload operations, troubleshooting, access, observability, capacity, and reliability.
Hands‐on experience administering and troubleshooting
Argo Workflows
or comparable workflow orchestration platforms.
Strong Infrastructure as Code experience with
Terraform
and source‐controlled infrastructure practices.
Experience building, hardening, and supporting CI/CD pipelines and production release processes.
Strong experience with monitoring, logging, alerting, and incident‐routing tools such as Splunk, PagerDuty, Opsgenie, or comparable platforms.
Demonstrated ability to lead complex incident resolution, perform root‐cause analysis, and translate findings into preventive improvements.
Proficiency in automation and scripting using Python, Shell, Bash, or similar languages.
Ability to make well‐reasoned technical decisions,



identify tradeoffs, estimate work, and drive improvements across a complex platform.
Experience mentoring engineers and collaborating effectively with Data Engineering, Security, Governance, Analytics, and business stakeholders.
Strong written and verbal English communication skills, with the ability to work directly with client stakeholders.
Availability to work within the LatAm service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed on‐call rotation.
NICE TO HAVES
Experience supporting data‐platform infrastructure involving Snowflake, dbt, Fivetran, HVR, Tableau Cloud, or custom ingestion pipelines.
Familiarity with data‐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
: Flexible schedule with remote and office options.
Location:
LATAM
Work Model:
100% Remote
Project:
Identity Security / Cybersecurity Platform
Seniority:
Senior
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.
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 occasional customer‐facing technical sessions and, when necessary, onsite engagements.
What You Bring
10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
Strong software development experience with:
Python
Go
Strong experience designing and consuming
REST APIs
.
Hands‐on experience building
data ingestion pipelines, connector frameworks, integration platforms, or similar systems
.
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
GCP
Experience working with
Docker and Kubernetes
.
Strong understanding of Git‐based development workflows and
CI/CD practices
.
Experience designing reliable, scalable, and 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.
Ability to translate complex customer requirements into pragmatic technical solutions.
Strong communication skills and the ability to operate effectively in customer‐facing technical conversations.
High degree of autonomy and ownership when solving ambiguous technical problems.
Highly Relevant Experience
Experience with any of the following will be especially valuable:
Identity and Access Management (
IAM
)
Identity Providers (
IdPs
)
Identity Security
Cybersecurity platforms
SIEM systems
Security telemetry
Network security
Endpoint security
SASE / Zero Trust environments
Cloud security
Large‐scale event processing
Streaming architectures
Integration Experience
Previous experience integrating APIs or data from platforms such as the following is highly valuable:
AWS
Microsoft Azure
Google Cloud
Microsoft Entra ID / Active Directory
Okta
Google Workspace
Duo
CrowdStrike
Zscaler
Palo Alto
Microsoft Defender
SIEM and security analytics platforms
Direct experience with every platform is not required.
What matters is a strong track record of learning complex APIs and transforming heterogeneous enterprise data sources into reliable integrations.
Nice to Have
Experience with large‐scale data processing or streaming platforms.
Experience designing reusable
connector SDKs or integration frameworks
.
Understanding of identity‐related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non‐human identities.
Experience with security events, audit logs, network telemetry, or cloud activity data.
Familiarity with event‐driven and distributed system architectures.
Experience deploying AI/ML‐enabled applications.
Exposure to
LLMs, AI agents, or AI‐powered security applications
.
Solution Architecture or Forward Deployed Engineering experience.
Previous experience in cybersecurity startups or high‐growth SaaS environments.
What Success Looks Like
Deliver successful enterprise integrations and deployments.
Reduce customer time‐to‐production.
Build reliable and scalable ingestion solutions.
Improve customer adoption and technical satisfaction.
Resolve complex integration challenges efficiently.
Turn customer‐specific requirements into reusable platform capabilities.
Contribute improvements that strengthen the scalability and flexibility of the core product.
What Darwoft Offers
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
#J-*****-Ljbffr

📌 Senior Data Infra Sre: Streaming, Kafka & Cloud Reliability (Mendoza)
🏢 Chainlink Labs
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