The salary range for this role is $5,000 - $9,500 per month (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a technically strong, hands-on Senior Database Reliability Engineer to help design, build, and scale the database platform used across Sezzle’s applications.

This is not a traditional DBA role. This role is for an engineer who can combine deep database knowledge with software engineering, infrastructure engineering, and platform thinking. You will help build the systems, libraries, automation, standards, and guardrails that make database usage across Sezzle reliable, secure, scalable, and easy for developers to adopt correctly.

As a Senior Database Reliability Engineer, you will be responsible for improving how Sezzle applications connect to, migrate, operate, observe, and scale their databases. You will work across application teams, infrastructure, security, and engineering leadership to define patterns that improve database reliability by design — not just by operational response.

You should be comfortable owning problems end-to-end: understanding application behavior, reading code, reviewing database access patterns, building shared tooling, improving connection management, designing migration safety checks, analyzing production performance, and helping developers use databases in safer and more scalable ways.

You should consider yourself a DOer to be a good fit for this role. We are looking for someone who can ship production-quality engineering work, not just advise from the sidelines. With AI tooling and automation, you should be a force multiplier for database reliability, developer productivity, and operational excellence across Sezzle.

Compensation:

For this senior development role, with 6+ years of experience, the compensation range is  $5,000 - $9,500 USD per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.

What You'll Do:

• Design, build, and maintain shared database platform components used by Sezzle applications, such as database connection packages, database client libraries, migration tooling, safety checks, query standards, and developer-facing abstractions.
• Establish reliable, scalable patterns for how Sezzle services connect to and interact with relational databases across production, staging, and development environments.
• Partner with backend engineering teams to improve database usage in application code, including connection lifecycle, transaction handling, retries, timeouts, pooling, query patterns, and migration workflows.
• Build automation and internal tooling that makes database operations safer, more repeatable, and less dependent on manual intervention.
• Define and enforce engineering standards for database access, schema design, migrations, indexing, query performance, connection management, and operational readiness.
• Architect and improve database infrastructure across AWS RDS/Aurora MySQL, PostgreSQL, RDS Proxy, read replicas, backups, failover, parameter groups, monitoring, and capacity planning.
• Lead database reliability initiatives that reduce operational risk, improve performance, and help Sezzle scale safely.
• Review application designs and database changes early in the development lifecycle to ensure reliability, scalability, maintainability, and security are built in from the start.
• Build guardrails for database migrations, including automated checks, rollback expectations, schema review workflows, migration observability, and production safety controls.
• Improve developer self-service for database provisioning, access, schema management, local development, testing, and observability.
• Investigate production database issues by combining application telemetry, database metrics, logs, query plans, traces, and cloud infrastructure data.
• Identify and fix systemic database problems, not just symptoms — including bad access patterns, unsafe migrations, inefficient queries, connection storms, lock contention, replication lag, and capacity bottlenecks.
• Create and maintain high-signal dashboards, alerts, SLOs, SLIs, runbooks, and operational readiness checks for database-backed services.
• Drive improvements in database backup validation, restore testing, disaster recovery, failover readiness, and business continuity.
• Work with security and compliance teams to improve database access controls, auditability, encryption, secrets management, least privilege, and PCI/SOC 2 aligned controls.
• Mentor engineers on database design, query performance, safe migrations, operational readiness, and production debugging.
• Use automation and AI tooling where appropriate to improve migration review, query analysis, incident investigation, documentation, and developer productivity.

What We look for: 

• 6+ years of professional software engineering, infrastructure engineering, database engineering, SRE, or platform engineering experience.
• Strong software engineering ability in at least one production programming language such as Go, Python, or TypeScript.
• Proven ability to build production-quality internal tools, libraries, frameworks, services, or platform components used by other engineers.
• Deep hands-on experience with relational databases, especially MySQL and/or PostgreSQL, in high-availability production environments.
• Strong understanding of how application code interacts with databases, including connection pooling, transactions, isolation levels, retries, timeouts, deadlocks, locking, migrations, and query execution.
• Experience designing or improving shared database access patterns, internal database packages, ORM wrappers, migration frameworks, or developer-facing database tooling.
• Hands-on experience with AWS RDS/Aurora, including provisioning, upgrades, replicas, backups, failover, monitoring, parameter tuning, and production troubleshooting.
• Experience with database connection management technologies such as RDS Proxy, PgBouncer, ProxySQL, or application-level pooling.
• Strong ability to analyze database performance using query plans, indexes, slow query logs, wait events, locks, metrics, and application traces.
• Experience designing safe database migration processes for production systems.
• Strong understanding of observability for database-backed applications, including metrics, logs, traces, SLOs, alerting, and incident response.
• Experience with infrastructure-as-code and CI/CD systems such as Terraform, GitLab CI/CD, Kubernetes, Helm, or similar tooling.
• Ability to influence engineering teams through clear design reviews, documentation, technical standards, and practical implementation.
• Ability to operate independently, identify high-impact problems, propose pragmatic solutions, and drive them to completion.
• Bachelor’s degree in Computer Science.

Preferred Knowledge and Skills:

• Experience building platform capabilities for a microservices environment.
• Experience with Golang application development and database access patterns.
• Experience creating database libraries, SDKs, service templates, migration frameworks, or paved-road developer tooling.
• Experience improving database reliability across many services or teams, not just one application.
• Experience with fintech, payments, banking, e-commerce, or other high-volume transactional systems.
• Experience with compliance-sensitive environments such as PCI DSS, SOC 2, or SOX.
• Experience with database access governance, audit logging, secrets management, encryption, IAM authentication, and least-privilege access models.
• Experience with large-scale operational automation for provisioning, patching, failover testing, backup validation, access management, or schema review.
• Experience with distributed systems patterns such as transactional outbox, event-driven architecture, idempotency, queues, eventual consistency, and data consistency tradeoffs.
• Experience with observability tools such as Prometheus, Grafana, Datadog, CloudWatch, Performance Insights, OpenTelemetry, or New Relic.
• Familiarity with Elasticsearch or other supporting data stores.
• Familiarity with AI developer tooling such as Claude Code, Gemini CLI, Codex, Cursor, and using it to be a more productive engineer.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The salary range for this role is $5,000 - $9,500 per month (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this principal development role, with 6+ years of experience, the compensation range is $5,000 - $9,500 USD based on experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience

About the Role: 

We are seeking a hands-on, high-impact Senior Security Infrastructure Engineer to help strengthen Sezzle’s security posture across cloud infrastructure, applications, and developer workflows. This role is ideal for someone who thrives in a fast-paced environment and wants to work on real-world security problems at scale.

As a Senior Security Infrastructure Engineer, you will have a high degree of ownership and autonomy to identify risks, investigate issues, and drive meaningful security improvements across our systems. You will work across vulnerability management, detection engineering, supply chain security, and incident response - partnering closely with engineering teams to ensure security is practical, effective, and embedded into how we build and operate systems. You should consider yourself a DOer - someone who is comfortable diving into logs, analyzing systems, validating findings, and working end-to-end to get issues resolved. We value engineers who bring strong technical depth, good judgment, and the ability to turn security insights into actionable outcomes.

This role offers the opportunity to shape and scale security capabilities, including detection systems, supply chain risk controls, and security automation. With the support of modern tooling (including AI where appropriate), you will play a key role in improving efficiency, visibility, and resilience across the organization. This role combines hands-on security operations with exploratory and design work. You will spend significant time investigating and resolving real-world issues, while also researching, evaluating, and building new security capabilities across areas like detection, supply chain security, and data protection.

What You’ll Do: 

• Lead and operate vulnerability management across infrastructure, platforms, and applications - including internal scans, dependency analysis, and external findings, validating true positives and driving remediation with engineering teams
• Build, operate, and mature SIEM/XDR capabilities, including log ingestion, detection rule development, alert tuning, and investigation workflows
• Investigate and respond to security incidents across cloud infrastructure and applications, performing root cause analysis and driving long-term fixes
• Design and implement detection strategies for suspicious activity, including data exfiltration patterns using application and database telemetry
• Lead and contribute to threat modeling exercises and security design reviews to identify risks early and strengthen architecture
• Apply deep expertise in AWS and Kubernetes to design, secure, and improve resilient and secure cloud infrastructure at scale
• Drive infrastructure and CI/CD hardening initiatives, with a focus on reducing software and container supply chain risk
• Lead efforts to implement and improve dependency and container supply chain risk detection systems and controls
• Partner closely with engineering teams to remediate vulnerabilities and improve secure development and deployment practices
• Support and implement security controls aligned with PCI DSS, SOC 2, and other compliance requirements
• Develop and implement automation (including AI where appropriate) to improve efficiency in security operations, detection, and response
• Triage and validate external security findings, distinguishing true positives and coordinating remediation

What We Look For: 

• 6+ years of experience in security, software, or infrastructure engineering, with hands-on experience securing cloud-based production systems and working with real-world security challenges
• Experience contributing to threat modeling and security design reviews for modern systems
• Strong hands-on experience in vulnerability management, including scanning, triage, validation, remediation coordination, and verification
• Experience working with SIEM platforms (e.g., Wazuh, Splunk, ELK) for detection engineering, monitoring, and incident response
• Practical experience triaging findings from vulnerability scanners and bug bounty programs
• Strong knowledge of AWS, Linux, and Kubernetes infrastructure, including security architecture, hardening, and operational best practices
• Experience improving infrastructure security, including CI/CD hardening and mitigating software supply chain risks
• Experience with container and dependency security tools (e.g., Snyk, Trivy, Grype, etc.)
• Ability to investigate issues directly using logs, cloud tooling, and system-level data
• Knowledge of common security vulnerabilities and mitigation strategies (OWASP, SANS, etc.)
• Working knowledge of compliance frameworks such as PCI DSS and SOC 2

Preferred Knowledge and Skills:

• Experience designing and tuning detection rules, reducing alert noise, and improving investigation workflows
• Strong understanding of cloud-native security controls, including IAM, network segmentation, and container security
• Familiarity with log-based detection, telemetry pipelines, and security analytics use cases
• Experience designing secure CI/CD workflows that reduce exposure to vulnerable dependencies and untrusted artifacts
• Ability to assess application and infrastructure risk and translate findings into actionable improvements
• Experience aligning technical security work with regulatory and compliance expectations
• Experience using automation and AI to reduce manual effort and improve consistency at scale

About You: 

• You think proactively about security and work to address risk early through clear design feedback and practical engineering solutions
• You bring strong cloud and infrastructure judgment, especially in AWS and Kubernetes environments
• You raise the bar on hardening and operational discipline, especially in CI/CD and supply chain security practices
• You approach security monitoring with an investigator’s mindset and can turn telemetry into meaningful detection and response outcomes
• You are excited to use automation and emerging technologies (including AI) to automate repetitive security work and improve team effectiveness
• You balance strong security standards with business needs and can support privacy and compliance requirements in a practical, scalable way
• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

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.}

Who we are

Stensul is the Governed Creation™ Platform for enterprise marketing teams that need to create campaigns quickly, safely, and at scale. We bring creation, collaboration, and control together in one connected platform — combining AI-enabled creation, no-code production, embedded governance, and seamless integrations across the marketing tech stack. The result: faster output, lower costs, reduced risk, and work that stays consistently on brand.

At Stensul, we’re just as intentional about how we work as about what we build. We’re a people-first team that values inclusive collaboration, ownership, and continuous learning. If you thrive in a fast-paced environment and want to help define the future of marketing creation, we’d love to meet you.

Mission

Become a team player within the Security team by supporting log monitoring, incident response tasks and security automation. Collaborating with DevOps peers to ensure security best practices are followed for Cloud environment and deployment pipelines. Work closely with Revenue Operations to provide guidance on security configuration of their tooling. 

Competencies

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum of 3-5 years of experience in system security engineering, incident response or DevSecOps.
• Knowledge of security principles, best practices, and industry standards, such as NIST, ISO 27001, and CIS Critical Security Controls.
• Hands-on experience with security technologies, such as firewalls, IDS/IPS, SIEM, antivirus, and vulnerability scanning tools.
• Proven experience with incident response methodologies.
• Experience with cloud platforms, GCP, and common security controls within these environments, including container security.
• Familiarity with revenue operation platforms, such as Salesforce, and common security controls within these environments.
• Excellent analytical, problem-solving, and troubleshooting skills.
• Strong documentation skills with attention to detail to effectively communicate security requirements and processes to technical and non-technical stakeholders.
• Analytical Profile
• Advanced English (Level B2 or higher)

Primary Responsibilities

• Monitor, investigate, and respond to security alerts and incidents, escalating significant incidents to senior analysts or management. 
• Design and build security automation mechanisms such as secure CI/CD pipelines with integrated SAST, DAST, SCA, IaC scanning, and container security.
• Perform vulnerability assessments, assist with remediation tracking, and support continuous improvement of the organisation’s security posture. 
• Maintain and improve operational security controls, including endpoint protection, access reviews, log monitoring, and cloud configuration checks to strengthen overall security posture.
• Configure, troubleshoot and maintain security infrastructure, software and hardware.
• Install software that monitors systems and networks for security breaches and intrusions. 
• Monitor systems for irregular behavior and set up preventive measures. 
• Educate and train staff on information system security best practices for monitoring and secure deployment.

What we offer

• A competitive compensation package that includes equity
• Company laptop and phone reimbursement.
• Flexible time off policy to balance your work and life in a way that suits you best
• Collaborative, transparent, and fun-loving office culture
• Being a part of an amazing, inclusive team that lives by our shared values and is committed to building the next phase of Stensul
• Open to hire in our Buenos Aires offices, or to work remotely

Given our teams are currently located in Buenos Aires City, Argentina, remote position candidates are required to be living within GMT-3 and GMT-1 location.

Stensul is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce.

If your experience is close (even if not a perfect fit) to what we’re looking for, please consider applying. Experience comes in many forms – skills are transferable, and passion goes a long way. We know that diversity makes for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply.

We are looking for a hands-on Senior Data Engineer to join a small team (2 Data Engineers + 1 Data Analyst). You will help scale our AWS-based data infrastructure, working primarily with industrial data sources and high-volume time-series data.

Responsibilities Will Include:  

• Engage directly with end users to understand how they consume data, and design solutions that serve their needs.
• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion.
• Evolve the Data Lakehouse—optimizing storage, performance, and data consistency.
• Manage orchestration workflows with complex dependencies and error handling.
• Implement data governance, security controls, and audit policies across the AWS ecosystem, leveraging services such as AWS Lake Formation for centralized data lake permissions and governance.
• Optimize performance and cost (FinOps); identify and resolve technical bottlenecks.
• Partner with the Data Analyst to deliver production-ready, analytics-optimized datasets.
• Build monitoring, alerting, and data quality testing for platform reliability.

Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related discipline is required.
• At a minimum, 5+ years of experience in Data Engineering, Analytics Engineering, or related roles.
• Deep hands-on experience with core AWS data services: Glue, Athena, Step Functions, Lambda, Kinesis, and Lake Formation.
• Hands-on experience with Apache Iceberg (required).
• Expert proficiency in Python (PySpark / Python Shell) and advanced SQL (window functions, CTEs, execution plan tuning).
• Solid grasp of ETL/ELT tooling and dimensional modeling best practices (Kimball).
• Experience preparing data architectures for visualization tools and operational/management reporting.
• Practical experience with NoSQL engines (e.g., DynamoDB) and relational SQL databases.
• Infrastructure as Code: Terraform or AWS CloudFormation.

Preferred Experience:

• Apache Airflow (MWAA experience preferred) or native AWS orchestration.
• Familiarity with dbt, Airbyte, or Fivetran.
• Experience automating CI/CD for Glue jobs or Lambda deployments.

Soft Skills:

• Senior peer mindset—leads through code reviews and mentorship, not hierarchy.
• Pragmatic decision-maker who picks the right tool for cost, efficiency, and project needs.
• Strong ownership of end-to-end data quality and system availability.
• Clear communicator who can translate business needs into technical solutions. 

About the job

The world’s most critical--and at-risk--business applications have been neglected for far too long. Onapsis eliminates this blind spot by providing cybersecurity solutions dedicated to business-critical applications. Whether running on-premises, in the cloud, or in a hybrid environment, Onapsis helps nearly 30% of the Forbes Global 100 understand the threats and risks across their SAP and Oracle landscapes. 

Key activities and responsibilities:

• Perimeter Security Management: Administer, maintain, and optimize firewalls, VPNs, and Web Application Firewalls (WAFs), ensuring secure network access and traffic flow while proactively performing clean-ups and configuration reviews.
• Endpoint and Server Protection: Support the hardening of endpoints and servers, perform vulnerability assessments, and implement security configurations to reduce risk exposure.
• Incident Response Support: Assist in detecting, investigating, and containing security incidents. Analyze logs, collect evidence, and contribute to timely mitigation efforts under guidance from senior security staff.
• Automation & Infrastructure as Code: Develop scripts and Infrastructure-as-Code solutions to automate security tasks, improve efficiency, and enforce consistent security standards.
• Certificate Management: Assist in the management, monitoring, and renewal of digital certificates (TLS/SSL), ensuring proper implementation, validity, and compliance across infrastructure and applications.
• Documentation & Reporting: Maintain accurate security documentation, produce reports on security posture, incidents, and configuration changes, ensuring transparency and traceability.
• Collaboration & Knowledge Sharing: Work closely with cross-functional teams across the organization to promote security awareness and assist with security initiatives.

Required skills and aptitudes:

• 2+ years of experience securing endpoints, servers, directory services and infrastructure, with a comprehensive understanding of security protocols, cryptography, and networking principles.
• Knowledge of firewall and VPN technologies, including administration, rule management, access control, and secure remote connectivity concepts.
• Solid understanding of network and security protocols, including TCP/IP, SSL/TLS, IPSec, DNS, and routing concepts.
• Skilled in programming and scripting languages such as Python, PowerShell, and Bash, with the ability to create custom automation tools and security scripts.
• Familiarity with Infrastructure as Code (IaC) concepts to support automated, scalable, and reliable infrastructure management.
• Understanding of digital certificates, PKI concepts, and TLS/SSL, including certificate lifecycle management, trust chains, and common misconfiguration risks.
• English proficiency to effectively communicate in a global, cross-functional team.
• Strong analytical thinking, attention to detail, and eagerness to learn in a dynamic security environment.

Desired skills and aptitudes:

• Practical experience working in an agile environment, with the ability to adapt to dynamic priorities and deliver results in fast-paced settings.
• Knowledge of information security standards such as ISO 27001, NIST 800-53, and CIS Critical Security Controls, with a strong understanding of related principles for risk identification and security analysis.
• Experience with cloud security, including securing and managing public cloud platforms such as AWS, GCP, or Azure, with a focus on implementing strong, cloud-specific security controls
• Experience with identifying and resolving network-related issues.
• Relevant certifications in security, networking, and cloud environments.

What we offer: 

• A role in shaping the future of protecting the most critical applications that run the world's business and a career that grows as the company grows.
• A unique culture of high achievement and teamwork.
• Supportive and humble colleagues are the space's top problem solvers and innovators.
• Financial security through competitive compensation and incentives.

Employment: Onapsis hires full-time employees in Argentina. We do not engage with SRLs or B2B contractors.

About Onapsis:

Onapsis protects the business applications that run the global economy. The Onapsis Platform delivers vulnerability management, change assurance, and continuous compliance for business applications from leading vendors such as SAP, Oracle, and others. The Onapsis Platform is powered by the Onapsis Research Labs, the team responsible for the discovery and mitigation of more than 1,000 zero-day vulnerabilities in business applications.

Onapsis is headquartered in Boston, MA, with offices in Heidelberg, Germany and Buenos Aires, Argentina, and proudly serves hundreds of the world’s leading brands, including close to 30% of the Forbes Global 100, six of the top 10 automotive companies, five of the top 10 chemical companies, four of the top 10 technology companies, and three of the top 10 oil and gas companies.

For more information, connect with Onapsis on LinkedIn or visit https://www.onapsis.com.

Onapsis only invites candidates to apply directly through reputable job boards or the Onapsis careers page on our website. Job offers are extended only after a face-to-face video interview with an Onapsis HR representative. Please disregard any outreach from Onapsis via forums, social networks, or other platforms, as these are fraudulent.

#LI-AC1

#Remote

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.}

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Staff Analytics Engineer to join our Data Platform team! 

In this position, you will help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets. This role sits at the intersection of data engineering, analytics, and product, and is critical to enabling high-quality decision-making across the organization. You’ll partner closely with stakeholders to define metrics, model data, and build scalable, self-serve analytics foundations. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. 

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Design, build, and maintain scalable data models that power analytics, reporting, and experimentation
• Develop and manage transformation workflows using DBT (or similar tools) following modern ELT practices
• Define and maintain a metrics layer / semantic layer to ensure consistent, trusted business definitions
• Build curated, analytics-ready datasets from multiple sources (event data, transactional systems, third-party APIs)
• Partner with stakeholders to translate business questions into well-defined metrics and data models
• Ensure data quality through testing, validation, and monitoring frameworks
• Optimize query performance and cost efficiency within Snowflake (or similar warehouse)
• Enable self-service analytics by designing intuitive, well-documented data models
• Support and scale experimentation frameworks, including A/B testing and metric standardization
• Leverage AI tools such as Claude and agentic workflows to accelerate data modeling, metric documentation, and semantic layer development
• Help shape how the team uses AI-assisted analytics — enabling data scientists and business users to query trusted datasets through governed AI interfaces
• Collaborate with data engineers to define upstream data contracts and improve data reliability
• Document data models, metrics, and lineage to improve discoverability and trust
• Contribute to governance practices including naming conventions, versioning, and access controls
• Drive adoption of best practices in analytics engineering across the organization

You 

• 5+ years of experience in analytics engineering, data engineering, or advanced analytics roles
• Strong expertise in SQL (advanced querying, optimization, window functions, etc.)
• Hands-on experience with DBT or similar transformation frameworks
• Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift
• Strong understanding of data modeling best practices (star schema, dimensional modeling, etc.)
• Hands-on experience with AI-assisted development tools such as Claude or GitHub Copilot to accelerate modeling, documentation, and code review
• Strong understanding of how LLMs and agentic workflows interact with semantic layers and what that means for how analytics data is structured and governed
• Experience defining and managing business metrics and semantic layers
• Familiarity with event-based data models and user behavior tracking
• Experience working with analytics tools such as Looker, Tableau, Sigma, or similar
•  

Preferred

• Experience with experimentation platforms and A/B testing frameworks
• Familiarity with metrics layer tools (e.g., LookML, MetricFlow, Cube, Transform)
• Experience with event tracking tools (GA, Heap, Segment, CDPs)
• Experience with Python for data transformation or analysis
• Knowledge of data orchestration tools (Airflow, Prefect)
• Experience with data governance and cataloging tools
• Familiarity with machine learning data pipelines or feature stores
• Experience with Reverse ETL tools (e.g., Hightouch, Census)

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.

Job Description:

We are seeking an AI Enablement Engineer to design and scale the semantic layer that turns raw restaurant data into a shared language for AI, analytics, and decision-making across a global Quick Service Restaurant (QSR) enterprise. This is a foundational role in our AI strategy: the semantic layer you build is what makes natural language analytics, automated reporting, and intelligent AI agents possible at enterprise scale. Your focus is bridging business meaning and data, ensuring that AI systems, analytics platforms, and end users consistently interpret critical metrics like same-store sales, speed of service, traffic, and labor productivity in a standardized, governed way. When an AI agent or a franchisee asks "how did my restaurant perform last week," the accuracy and trust of that answer starts with your work.
You will define and operationalize a hybrid semantic layer strategy that combines governed, metadata-driven models with AI-powered context engineering to enable scalable, accurate, and self-service insights across restaurants, corporate teams, and franchisees, unlocking the building blocks for conversational analytics and autonomous AI workflows.

Key Responsibilities – Semantic Layer Strategy & Architecture

• Define and implement an enterprise semantic layer that standardizes metric definitions and aligns business questions to data
• Establish canonical definitions for core KPIs (e.g., same-store sales, speed of service, traffic, labor productivity)
• Design mapping between business concepts and underlying data models across systems (POS, digital, supply chain, finance)
• Provide structured metadata to power AI systems, copilots, and analytics tools. 

Key Responsibilities – Hybrid Semantic Model Implementation

• Build and maintain manual, metadata-driven semantic models for high-criticality domains (finance, core KPIs, franchise reporting)
• Enable AI-driven context engineering for exploratory analytics, operational insights, and ad-hoc queries
• Define how both approaches coexist in a unified architecture

Key Responsibilities – Tooling & Platform Enablement

• Implement semantic layer tooling (DBT, semantic views, YAML/Markdown metadata, data catalogs like Atlan)
• Enable downstream consumption by BI tools, APIs, and AI applications
• Create reusable abstractions and templates to scale globally

Key Responsibilities – AI & Context Engineering Integration

• Enable AI systems (LLMs, agents, copilots) to leverage semantic metadata
• Support context engineering using data lineage, metadata, example queries, and repository context
• Improve AI reliability by grounding outputs in governed definitions

Key Responsibilities – Governance & Data Quality

• Establish governance processes for metric definitions
• Ensure alignment across regions, brands, and franchise reporting
• Implement validation, versioning, and change management
• Define guardrails to prevent inaccurate analytics outputs

Key Responsibilities – Adoption & Enablement

• Partner with business and technical teams to drive adoption
• Educate stakeholders on standardized metrics and self-service analytics
• Provide documentation, playbooks, and training

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Analytics, or related field
• 5+ years of experience in data engineering, analytics engineering, or AI/ML systems
• Strong experience with semantic modeling or analytics engineering
• Proficiency in SQL and Python
• Experience with DBT and modern cloud data platforms
• Understanding of APIs and distributed systems

Preferred Qualifications

• Experience in QSR, retail, or franchise environments
• Experience with semantic/metrics layers
• Familiarity with data catalogs (e.g., Atlan)
• Experience with generative AI, LLMs, and context engineering
• Knowledge of data lineage and governance frameworks

Additional Expectations

• Design and maintain CI/CD pipelines, including automated builds, testing, and deployment of solutions
• Develop and execute functional and regression test suites to validate metric accuracy, data completeness, and semantic model behavior across environments
• Implement automated data and code quality checks and integration tests within the deployment pipeline to catch issues before they reach production
• Apply software engineering best practices including version control, code review, branching strategies, and environment promotion (dev/staging/prod) to all semantic layer and metadata assets
• Monitor platform performance, troubleshoot pipeline failures, and maintain observability across semantic layer infrastructure using logging, alerting, and health checks
• Define and manage infrastructure as code (e.g., Terraform, CloudFormation) for data platform resources, ensuring reproducible and auditable environment provisioning across development, staging, and production
• Implement and maintain role-based access controls, secrets management, and security policies across semantic layer tooling, data platform resources, and API integrations to ensure compliance with enterprise security standards

Key Skills & Competencies

• Systems thinking across data, analytics, and AI
• Ability to translate business metrics into data models
• Balance governance with scalability
• Strong stakeholder management
• Clear communication of complex concepts

Success Metrics

• Adoption of standardized metric definitions
• Reduction in reporting inconsistencies
• Improved accuracy of AI-generated insights
• Increased self-service analytics usage
• Faster time-to-insight

Reporting Structure

• Reports to: VP / Director of Data, AI, or Platform Engineering
• Works closely with: Data Engineering, Analytics, AI/ML, Finance, Operations, Franchise teams

Summary
The AI Enablement Engineer (Semantic Layer) establishes a shared language between business and data. By combining governed semantic models with AI-driven context understanding, this role enables scalable, accurate, and trusted analytics and AI across a global QSR enterprise.

Location: LATAM

Want to help us help others? We’re hiring!

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes – for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join GoFundMe as our next Staff Machine Learning Engineer (Pricing). In this role, you will design, develop, and deploy machine learning systems that power pricing and monetization programs across GoFundMe such as personalized donation and checkout experiences, donation yield optimization (one-time and recurring), recurring donor LTV optimization, fundraising goal suggestions, and more. This role requires strong end-to-end execution and deep expertise in building production ML systems (data → training → online inference → measurement) with rigorous experimentation and monitoring.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job…

• Own end-to-end ML systems for pricing optimization, from problem framing and metric definition (e.g., donation yield, conversion, retention, LTV) to model development, launch, and iteration in production.
• Design and implement backend model pipelines including feature engineering, training, and evaluation.
• Build low-latency real-time inferencing services, including API design, caching strategies, model packaging, and deployment on Kubernetes.
• Collaborate with teams to develop instrumentation and event pipelines to capture user and campaign activity required for training and evaluation (e.g., impression/click/submit, donation amount, tip amount, recurring enrollment/cancellation), ensuring schema quality, lineage, and privacy-by-design.
• Apply causal and experimental methodologies to measure impact and avoid biased optimization, including online A/B testing design, guardrail metrics, sequential testing considerations, and counterfactual/causal approaches when needed.
• Develop optimization approaches appropriate for pricing-like problems, such as uplift modeling, bandits, constrained optimization, calibration, and multi-objective tradeoffs (e.g., yield vs. donor trust, short-term conversion vs. long-term retention).
• Establish ML operational excellence by implementing model observability (latency, errors, drift, calibration, business KPI deltas), automated retraining triggers, rollback strategies, and incident response playbooks for pricing systems.
• Partner cross-functionally with Product, Engineering, Design, and Legal/Privacy stakeholders to translate business goals into measurable technical deliverables and ship safely.
• Mentor and set technical direction for other engineers and scientists through design reviews, architecture decisions, and shared best practices for production ML in monetization.
• Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems. (Full-stack experience—e.g., integrating with web clients and experimentation frameworks—is a plus.)

You…

• 7+ years of hands-on experience building and shipping production machine learning systems, with demonstrated ownership of backend services and ML pipelines in a high-availability environment.
• Strong proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, plus strong software engineering fundamentals (testing, code review, CI/CD, API design, performance, and reliability).
• Demonstrated experience in pricing/monetization or growth optimization domains preferred.
• Experience designing and deploying real-time model serving (sub-100ms to low-hundreds ms latency targets), including containerization, scalable inference, feature retrieval, and safe rollout strategies (canaries, shadowing, backward-compatible schema evolution).
• Strong data engineering fluency: building reliable datasets and features using SQL, Spark/Databricks, and warehouse technologies (e.g., Snowflake), with an understanding of event semantics, identity resolution, and data quality controls.
• Working knowledge of experiment design and causal measurement for monetization systems, including pitfalls such as selection bias, interference, and delayed outcomes; familiarity with uplift modeling, bandits, or constrained optimization is a strong plus.
• Experience implementing ML monitoring for both technical and business metrics (drift, calibration, segment performance, latency, error budgets) and operating models in production.
• Ability to break down ambiguous, high-impact problems, define crisp interfaces and success metrics, and deliver iteratively with strong stakeholder communication.
• Strong leadership and mentoring skills and a proven ability to raise the bar on architecture, engineering quality, and operational rigor for ML-powered pricing systems.
• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.
• Sense of humor is optional but appreciated.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom. 

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a DevSecOps Engineer, you will be the link between development, operations, and security. You will work with delivery teams to embed security controls and best practices into pipelines, automate compliance, and ensure our platforms are reliable, resilient, and secure. You will participate in architecture discussions, help detect and remediate vulnerabilities, and continuously improve our DevSecOps practices. 

You will work in a multidisciplinary environment with engineers across the globe, ensuring that security does not block innovation but rather accelerates it.

.You are someone with 5+ years of experience in Security Engineering, or DevSecOps, preferably in large-scale, customer-facing platforms. You have deep expertise in automation, cloud-native security, and CI/CD. You combine technical leadership with strong communication skills, and you are comfortable working in global and multicultural teams. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Define and implement enterprise-wide DevSecOps standards, patterns, and guardrails. 

• Design and build security automation mechanisms such as secure CI/CD pipelines with integrated SAST, DAST, SCA, IaC scanning, and container security. 

• Design and Implement cloud-native security tooling and platforms. 

• Lead security reviews, audits and threat modeling for high-impact platforms and projects. 

• Guide teams and promote security awareness on secure coding, vulnerability remediation, and cloud security best practices, acting as a Security Subject Matter Expert. 

• Automate compliance and governance requirements at scale. 

• Participate in and lead security incident lifecycle, including RCA, remediation, postmortem analysis, and resilience improvements. 

• Mentor and coach DevOps/DevSecOps engineers across teams. 

• Advocate for and implement practices to reduce toil and scale security automation. 

• Define and/or conduct regular vulnerability assessments and manage remediation efforts 

• Ensure our clients' systems and applications meet regulatory and organizational security standards (e.g. NIST, ISO, SOC 2, PCI DSS, GDPR, etc.) 

• Help define and implement monitoring solutions and participate in incident response and remediation as needed 

• Work closely with development, ops, and security teams to ensure secure delivery of software 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• You have led DevSecOps initiatives in enterprise or high-traffic production environments. 

• You have strong experience with cloud security (Mostly Azure). 

• You are proficient in CI/CD tooling. 

• You have advanced knowledge of container security and orchestration (Docker, Kubernetes, AKS). 

• You have hands-on experience with security scanning tools (Snyk, SonarQube, Trivy, Aqua, Prisma, Checkov, etc.). 

• You have implemented monitoring and observability solutions with a security lens (New Relic, Prometheus, Grafana, ELK). 

• You are fluent in at least one scripting/programming language (Python, Go, Bash, etc.) for automation. 

• You are experienced in IAM, secrets management, and zero-trust principles. 

• You are a natural mentor, able to upskill and guide other engineers. 

Nice to have qualifications  

• Strong communication and presentation skills 
• Accountability, collaboration, and time-management skills 
• Strong desire to learn more about business every day 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full time position based in Buenos Aires

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

DevOps Engineer

As a DevOps Engineer at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with the development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure.

In This Role, You Will:

Collaboration and Communication:

• Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects.
• Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines.
• Create and maintain comprehensive documentation for systems, processes, and configurations.

Automation and Tooling:

• Design, implement, and manage automation processes for software build, deployment, and configuration.
• Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes.

Infrastructure Management:

• Manage and maintain cloud-based infrastructure (AWS, Azure, GCP, and other cloud providers) to ensure scalability, reliability, and security.
• Implement infrastructure as code (IaC) using tools such as Terraform, Pulumi, and others.
• Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases.

Monitoring and Performance:

• Develop and implement monitoring solutions to ensure the health and performance of systems and applications.
• Proactively identify and address issues related to system performance, reliability, and scalability.

Security and Compliance:

• Implement and maintain security best practices in infrastructure and application deployment. This would include vulnerability assessments, code scanning and access controls.
• Ensure compliance with regulatory requirements and company security policies. 

Troubleshooting and Support:

• Provide support for development and operations teams, addressing issues related to build failures, deployment problems, and system outages.
• Participate in on-call rotation to respond to and resolve critical incidents. 

Skills and Experience We Value:

• Bachelor's Degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
• Proven experience as a DevOps Engineer or similar role.
• Strong proficiency in scripting languages such as Python, Bash, or Ruby.
• Experience with configuration management tools such as Ansible, Puppet, or Chef.
• In-depth knowledge of containerization technologies, such as Docker and Kubernetes.
• Hands-on experience with version control systems, preferably Git.
• Solid understanding of continuous integration and continuous deployment (CI/CD) concepts and tools.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
• Certified (Current or Expired) in at least one of the following: AWS Solutions Architect Associate, AWS Developer Associate, AWS SysOps Administrator Associate, AWS Solutions Architect Professional, AWS DevOps Engineer Professional, Azure Administrator Associate, Azure Security Engineer Associate, Azure Network Engineer Associate, Azure Developer Associate, Azure Solutions Architect Expert, Azure DevOps Engineer Expert, GCP Cloud Engineer Associate, GCP Cloud Architect Professional, GCP Cloud Developer Professional, GCP Cloud DevOps Engineer Professional, GCP Cloud Security Engineer Professional, GCP Cloud Network Engineer Professional, Certified Kubernetes Application Developer, Certified Kubernetes Administrator, Certified Kubernetes Security Specialist

About Particle41:
Our core values of Visibility, Velocity, and Vision drive everything we do to achieve the ultimate outcomes for our clients. We prioritize dependability as our highest guiding principle in delivering exceptional results.

• Visibility means we communicate openly and comprehensively, operating as an extension of our clients' engineering teams.
• Velocity is about building fast and smart, without cutting corners, ensuring timely and quality delivery without expecting things to break.
• Vision involves building upon our clients' goals, carefully executing and dynamically improving their products and services throughout the development cycle.

We seek team members who embody these values and are committed to contributing to our mission.

Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. 

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com

As a DevOps Engineer (GCP) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure.

Responsibilities: 

Collaboration and Communication: 

• Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. 
• Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. 
• Create and maintain comprehensive documentation for systems, processes, and configurations.

Automation and Tooling: 

• Design, implement, and manage automation processes for software build, deployment, and configuration. 
• Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes.

Infrastructure Management: 

• Manage and maintain GCP infrastructure to ensure scalability, reliability, and security. 
• Implement infrastructure as code (IaC) using tools such as Terraform, Deployment Manager, and others. 
• Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. 

Monitoring and Performance: 

• Develop and implement monitoring solutions using Cloud Monitoring and Cloud Logging to ensure the health and performance of systems and applications. 
• Proactively identify and address issues related to system performance, reliability, and scalability.
• Security and Compliance: 
• Implement and maintain security best practices in infrastructure and application deployment including IAM, Security Command Center, and VPC Service Controls. 
• Ensure compliance with regulatory requirements and company security policies.

Troubleshooting and Support: 

• Provide support for development and operations teams, addressing issues related to build failures, deployment problems, and system outages. 
• Participate in on-call rotation to respond to and resolve critical incidents.

Qualifications: 

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience. 
• Experience with GCP services including Compute Engine, Cloud Run, GKE, Cloud Functions, Cloud Storage, Cloud SQL, and Operations Suite.
• Proven experience as a DevOps Engineer or similar role. 
• Strong proficiency in scripting languages such as Python, Bash, or Ruby. 
• Experience with configuration management tools such as Ansible, Puppet, or Chef. 
• In-depth knowledge of containerization technologies, such as Docker and Kubernetes. Hands-on experience with version control systems, preferably Git. 
• Solid understanding of continuous integration and continuous deployment (CI/CD) concepts and tools. 
• Strong problem-solving and troubleshooting skills. 
• Excellent communication and collaboration abilities. 
• Certified (Current or Expired) in at least one of the following: GCP Cloud Engineer Associate, GCP Cloud Architect Professional, GCP Cloud Developer Professional, GCP Cloud DevOps Engineer Professional, GCP Cloud Security Engineer Professional, GCP Cloud Network Engineer Professional

About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )

• E - Empowering: Enabling individuals to reach their full potential.
• L - Leadership: Taking initiative and guiding each other toward success.
• I - Innovation: Embracing creativity and new ideas to stay ahead.
• T - Teamwork: Collaborating with empathy to achieve common goals.
• E - Excellence: Striving for the highest quality in everything we do.

We seek team members who embody these values and are committed to contributing to our mission.

Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. 

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com