Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: OPP00051-1

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 
  

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Kaseya is looking for an experienced, trilingual Solutions Engineer to join our rapidly growing Medellín hub. In this role, you will be a technical leader supporting the Sales team across both the LATAM and North American (NAM) markets. You will focus on delivering compelling technical demonstrations and guiding prospective customers through the value of the Kaseya "IT Complete" technology stack.

As a key member of the pre-sales organization, you will partner closely with Account Executives to understand complex customer challenges and position Kaseya’s solutions through technical discovery, solution design, and deep-dive demonstrations. While this role supports the broader platform, experience with PSA (Professional Services Automation) or RMM (Remote Monitoring and Management) solutions is highly beneficial.

Most customer engagement occurs through virtual platforms like Zoom and Microsoft Teams, though there are opportunities for travel within the LATAM and NAM regions for industry events and key customer meetings.

Key Responsibilities

• Demonstrate Value: Design, prepare, and deliver high-impact technical demonstrations showcasing the Kaseya technology platform.
• Strategic Partnership: Partner with Sales Executives to identify specific customer pain points and engineer tailored technical solutions.
• Full Pre-Sales Lifecycle: Support the process from initial discovery and product demos to proof-of-concept (POC) coordination and technical validation.
• Technical Advocacy: Confidently address technical objections and solution architecture questions throughout the sales process.
• Validation: Work directly with customers to evaluate solutions and ensure successful technical validation during POC phases.
• Documentation: Support the creation of technical responses for RFI/RFP submissions, proposals, and solution documentation.
• Product Expertise: Maintain expert-level knowledge across the Kaseya portfolio, including automation, security, backup, and endpoint management.
• Internal Feedback: Act as the "voice of the customer" by providing field feedback to product and engineering teams to influence future strategy.

Ideal Candidate

• Trilingual Expertise: Fluency in English, Spanish, and Portuguese is required to effectively support our diverse customer base across NAM and LATAM.
• Proven Experience: Demonstrated background in a Sales Engineer, Solutions Engineer, or Technical Pre-Sales role.
• Communication Master: Proven ability to demonstrate technical products and clearly articulate value to both technical (IT Admins) and business (CTO/CEO) stakeholders.
• Domain Knowledge: Familiarity with the MSP (Managed Service Provider) ecosystem, including tools such as PSA, RMM, security, and backup platforms.
• OS Proficiency: Strong experience working in Windows environments, with a functional understanding of macOS and Linux.
• Mindset: Curious, proactive, and passionate about learning new technologies and solving complex customer challenges.
• Location: Must be able to work fully in-office at our Medellín location.

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Medellin, Colombia

Hybrid model (2 days per week at the office)

About the role

We’re hiring a Senior SRE for a Platform Engineering team inside NICE/LiveVox. This is a builder / owner role: you’ll design and evolve the AWS platform foundations that product engineering teams rely on to run services safely and efficiently.

This is not a ticket-queue operations job. We’re looking for someone who enjoys ambiguous problems, makes sound engineering decisions, and builds automation to reduce toil long-term.

What you’ll do (Key Responsibilities)

• Own platform reliability outcomes across AWS: availability, latency, resiliency, and operational readiness.
• Design and implement platform foundations (IAM, networking, compute, deployment patterns, and guardrails) that enable teams to build safely at scale.
• Build infrastructure automation using IaC (Terraform) and CI/CD workflows that improve repeatability and reduce manual work.
• Lead incident response for platform-level issues (detection → mitigation → root cause analysis → permanent fixes) and drive measurable prevention.
• Improve observability and operational maturity (metrics, logs, traces, SLOs, alert design) with a bias toward actionable signals.
• Partner with engineering teams to improve service design, deployment safety, and runtime behavior through pragmatic reviews and mentoring.
• Document and standardize platform patterns, runbooks, and decision records so the system gets easier to operate over time.

What we’re looking for

We’re not looking for a specific background as much as strong ownership and technical judgment. You’ll be successful here if you are comfortable being the person who says:
“Here’s the tradeoff, here’s the decision, here’s how we’ll measure if it worked.”

Minimum qualifications

• 5+ years in SRE / Platform Engineering / Infrastructure Engineering (or similar)
• Strong experience operating services in AWS in production
• Strong Linux fundamentals and troubleshooting skills (used for engineering judgment, not ticket processing)
• Experience building automation with Infrastructure as Code (Terraform strongly preferred)
• Fluency with at least one language used for automation (Python, Go, or similar)
• Clear written and verbal communication (you can explain complex operational topics without drama or vagueness)

Preferred qualifications

• Experience designing multi-account AWS environments, governance controls, and secure-by-default patterns
• Deep familiarity with Kubernetes, ECS/Fargate, or other production orchestration platforms
• Experience with SLO-based reliability, alert tuning, and reducing operational noise
• Experience mentoring engineers or leading reliability efforts across teams

This role is a good fit if you…

• Prefer engineering fixes over repeating manual work
• Can work with incomplete information and still make good decisions
• Enjoy building “paved roads” (platform standards) that teams can use independently
• Are curious, self-directed, and comfortable taking ownership without needing constant direction

This role is probably not a fit if you…

• Want a role primarily focused on helpdesk-style support, routine ticket queues, or “keep the servers patched” operations
• Prefer clearly defined tasks over designing solutions in ambiguous situations
• Avoid cross-team collaboration, tradeoff conversations, or writing down decisions

(That’s not a judgment — it’s just not this job.)

#LI-Hybrid