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Solutions Technical Architect
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Toshiba Global Commerce Solutions is seeking a hands-on Senior Enterprise Architect to lead end-to-end solution delivery, combining platform development, client engagement, and partner integrations for major retail platform. This role unifies architecture leadership (design, trade-offs, governance), platform building (infrastructure, core capabilities), client solution delivery (discovery, implementation, support), and AI-enabled acceleration to ensure high-quality, scalable, and future-ready solutions.
You will own the complete architecture lifecycle — from discovery and design to delivery and operational readiness — guiding both the Discovery Track (rapid prototyping, feasibility validation, client alignment) and the Delivery Track (production implementation, measurable outcomes) while building the underlying platform capabilities that enable future solutions. The ideal candidate blends deep architecture expertise, software development, client engagement skills, integration experience, and practical use of AI-assisted development tools to accelerate delivery while maintaining architectural integrity and operational excellence.
Key Focus Areas
Platform Infrastructure & Core Capabilities
- Design and implement scalable platform infrastructure to support emerging use cases and product evolution.
- Build and evolve core platform capabilities — APIs, microservices, data pipelines, and shared services.
- Define architecture patterns and frameworks that enable rapid feature development and platform extensibility.
- Lead technical design for new product capabilities as business requirements evolve.
Client Engagement & Solution Delivery
- Own end-to-end solution delivery for client projects, converting business needs into validated architectures and working implementations.
- Lead client-facing architecture activities: facilitate workshops, present technical solutions, drive approvals, and act as subject-matter expert.
- Translate discovery outcomes into structured delivery backlogs that preserve design intent and architecture standards.
- Ensure traceability from business requirements to implemented solutions with full operational accountability.
Product & Partner Integration Architecture
- Own integration architecture design across partner ecosystems — payments, loyalty, inventory, and cloud services.
- Define and enforce integration patterns, API contracts, and data models ensuring interoperability and scalability.
- Establish and maintain partner integration architectures, including authentication, error handling, and versioning strategies.
- Govern solution design and trade-offs with a focus on performance, security, and operational resilience.
Dual-Track Delivery Leadership
- Lead Discovery and Delivery Tracks within Dual-Track Agile — from exploratory prototypes to validated production implementations.
- Drive Discovery Track activities: rapid prototyping, feasibility validation, and stakeholder alignment before full implementation.
- Translate discovery outcomes into delivery backlogs while maintaining architecture quality and non-functional requirements.
- Ensure seamless transition from discovery to delivery with clear design intent and technical specifications.
AI-Enabled Engineering Acceleration
- Apply AI-assisted tools and workflows (e.g., GitHub Copilot, Cursor, Claude Code) for design, coding, test generation, and documentation.
- Introduce spec-driven and automated validation patterns that improve delivery speed and consistency.
- Coach teams on responsible and practical use of AI to enhance quality and productivity across the software lifecycle.
- Instrument and leverage agentic workflows to accelerate prototyping, code generation, and automated validation.
Hands-On Technical Contribution
- Build production-quality implementations of critical platform components, client solutions, and new infrastructure.
- Lead by example through active coding, prototyping, and technical problem-solving.
- Implement and demo reference code or critical components for both platform capabilities and client solutions.
- Participate in code reviews and hands-on delivery of complex features.
- Work primarily with cloud-native stacks (Java/Spring Boot, TypeScript, React/Vue, Docker/Kubernetes).
Governance, Mentorship & Continuous Improvement
- Define and uphold architecture standards, reusable patterns, and non-functional requirements (security, scalability, observability).
- Mentor engineers and junior architects on design practices, infrastructure patterns, and AI-assisted development.
- Conduct code reviews and enforce architecture governance, promoting best practices across teams.
- Contribute to platform strategy — identifying reusable assets, shared APIs, and infrastructure opportunities.
Key Responsibilities
Architecture & Design
- Lead end-to-end solution architecture across discovery, design, delivery, and operational readiness for both platform and client solutions.
- Design and build new platform infrastructure to support emerging product requirements and use cases.
- Produce and maintain key architectural artifacts: ADRs, interface contracts, data flow diagrams, infrastructure specs, sequencing diagrams, migration/rollback plans, and traceability matrices.
- Define and enforce architecture standards, integration patterns, and non-functional requirements across all solutions.
Platform Development
- Write production code for critical platform features and infrastructure components.
- Build core platform capabilities that enable rapid feature development and solution delivery.
- Establish reusable patterns, shared services, and API-first designs for platform extensibility.
Client Engagement
- Serve as active technical lead in client engagements: facilitate workshops, present solutions, make trade-off decisions.
- Lead Discovery Track activities, rapidly prototyping and validating solutions with stakeholders.
- Drive approvals and alignment across business and technical stakeholders.
Integration & Partnerships
- Establish and maintain partner integration architectures across third-party ecosystems.
- Govern architecture consistency across partner integrations and internal product lines.
- Define authentication strategies (OAuth, SAML, API keys), error handling, and API versioning.
Quality & Governance
- Ensure architecture quality gates and participate in design reviews and release sign-offs.
- Identify and mitigate architecture risks — compatibility, data integrity, scalability, and partner dependencies.
- Own risk analysis and mitigation for architecture decisions, including backward compatibility and compliance constraints.
Continuous Improvement
- Contribute to continuous improvement through reusable patterns, automation, and cross-team alignment.
- Mentor and upskill engineers and architects on AI-assisted development, Dual-Track workflows, and platform best practices.
- Contribute to platform and portfolio strategy, identifying gaps requiring investment and reusable assets.
Qualifications
Must-Have
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- 10+ years of professional software development experience, including recent hands-on coding and prototyping in modern technology stacks.
- 5+ years designing cloud-native, microservices, or event-driven architectures (Azure or equivalent cloud platforms).
- Strong experience building platform infrastructure and scalable backend systems.
- Proven experience owning end-to-end solution delivery, including design, implementation, and post-release operational accountability for medium-to-large projects.
- Experience with partner integrations — payments, SaaS APIs, loyalty, inventory, or authentication providers.
- Hands-on experience building prototypes or reference implementations to validate architecture and solution feasibility.
- Expertise in API-first design (REST/OpenAPI).
- Experience with relational/non-relational databases (SQL/NoSQL).
- Solid grasp of containerization, CI/CD, and Kubernetes-based delivery pipelines.
- Practical experience with generative AI and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor).
- Excellent stakeholder communication skills, able to facilitate workshops, present technical solutions, and collaborate across business and engineering teams.
- Proven leadership in mentoring engineers, conducting code reviews, and enforcing architecture governance.
Preferred
- Strong retail platform domain knowledge (POS systems, store operations, payment processing).
- Certifications such as Azure Solutions Architect, AWS Solutions Architect, or equivalent.
- Experience with API Gateway or Integration Platforms (Azure APIM, Kong, Apigee, MuleSoft, Boomi).
- Solid understanding of API security and compliance (OAuth 2.0/OIDC, JWT, PCI).
- Familiarity with formal specifications (OpenAPI, AsyncAPI, JSON Schema) for contract-driven development.
- Background in distributed systems, microservices architecture, and infrastructure as code.
- Experience leading Dual-Track Agile processes, managing both Discovery and Delivery Tracks, and translating discovery outcomes into actionable backlog items.
- Experience contributing to platform strategy, reusable assets, and API-first designs.
We offer:
- Hired directly by Toshiba and 100% under payroll.
- Benefits of the law (IMSS, INFONAVIT, December day voucher, vacation voucher)
- Life insurance, major medical expenses with dental and visual coverage. (For the employee and direct family members).
- Minor medical expenses insurance.
- Savings fund for employees, capped at the limit of the law.
- Grocery coupons.
- Pension plan.
- 12 days of vacation plus 6 floating days.
EO: Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Ready to apply?
Apply to Toshiba Global Commerce Solutions - External
Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.
You Will:
- Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
- Build ML training and fine-tuning pipelines using Scale's robotics data
- Work across backend (Python, Node.js, C++), and frontend (React, TypeScript) stacks to build end-to-end solutions
- Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
- Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
- Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
- Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors
- Collaborate with ML engineers and researchers to bring robotics research into production
- Deliver features at high velocity while maintaining system reliability and performance
Ideally, You Have:
- 3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems.
- Strong programming skills in Python and TypeScript/Node.js for production systems
- Experience with React and modern frontend development for 3D interfaces
- Concurrent and real-time systems, with special attention to timing constraints
- Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
- Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
- Track record of working with cross-functional teams including ML engineers, researchers, and customers
- Strong communication skills and ability to operate with high autonomy
Nice to Haves:
- Experience with C++
- Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
- Background in computer vision, SLAM, motion planning, or imitation learning
- Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
- Experience with ML model deployment and serving frameworks
- Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
- Experience with workflow orchestration systems (Temporal, Airflow)
- Published research or open-source contributions in robotics or autonomous systems
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIImportant Information
Experience: +6 years
Job Mode: Full-time
Work Mode: Hybrid position to work 4 days per month at the client's office in Mexico City or GDL
ID: 19964
Responsibilities and Duties
• Investigate and drive support resolution with senior external clients, internal stakeholders and other Marquee engineering teams. Serve as point of escalation for support issues from Marquee Helpdesk (L1)
• Providing mentorship and guidance to junior team members to ensure successful resolution of issues
• Develop and mature the SRE strategy to ensure scalability, reliability, and performance of our platforms.
• Automate manual processes to increase efficiency and reduce risk.
• Troubleshoot and resolve complex technical issues, collaborating with cross-functional teams as needed.
• Work closely with the engineering team to drive resolution of client issues.
• participate in on-call rotations and respond to incidents as needed.
• Continuously improve processes and systems to increase reliability and reduce risk.
• Influence and suggest improvements on roadmap for enhancing Marquee client experience.
• Create documentation /runbooks and code snippets to share with clients and internal engineering teams
Key criteria:
• Must be comfortable coding in Java and or Python, debugging API calls, writing quality-of-life snippets for clients, creating scripts for debug tooling.
• Must have a basic knowledge of UI and API integration.
• Must be presentable to clients and a clear, empathetic communicator able to talk to clients and stakeholders with confidence.
• Must be willing to execute on support issues while also building out the function and automating resolution of repeat issues.
Mandatory Skills: Java or any object-oriented programming language, Linux, SQL (between Linux and SQL, candidate should be strong in at least one of them)
Basic Qualifications (Required skills)
· Bachelor’s degree in information technology, Computer Information Systems, Computer Science, or a related field.
· 3 to 5 years of work experience on SDLC/Devops, LINUX system platforms.
· Good Linux Scripting/Development skills - JAVA, Python (any).
· Good knowledge in technologies like Autosys/Job scheduling systems like CRON, NIS, Apache, Tomcat, any RDBMS like DB/ MS-SQL/Oracle/Sybase, Public/Private Cloud.
· Good Knowledge of SDLC, CVS, SVN, GIT, Maven, GITLAB, Docker and Jenkins.
· Knowledge of Devops dependencies - code review, builds, repositories, packages, distribution.
· Knowledge of config management - chef, puppet, ansible and related languages . groovy, go, json, yml, ini (any)
· Strong analytical and troubleshooting capabilities.
· Excellent soft skills & Communication (Verbal and Written) .
· Must be willing to work in rotational shifts.
· Ability to Multi task in high paced environment.
· Problem Solver and To-Do attitude, ability to face technical challenges and drive solution.
Preferred Qualifications (Nice to have)
· Having worked in environment supporting 10000+ servers a plus.
· Multiple Application Support Experience a plus.
· ITIL and ITSM experience a plus.
· Global clients facing Support team experience a plus.
· Able to work within a Global team, prior experience a plus .
· Prior experience with Financial Institution a plus.
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.
Ready to apply?
Apply to EncoraHey there!
We’re Fever, the world’s leading tech platform for culture and live entertainment.
Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?
To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!
Ready to be part of the experience?
Now, let’s discuss this role and what you will do to help achieve Fever’s mission.
About the role
Behind our user-friendly apps and global platform is the Engineering team. We are looking for Tech Support Engineers to join our mission. In this role, you will be the bridge between our business operations and engineering, ensuring our systems run smoothly and our users have the best possible experience.
Whether you are deep-diving into complex SQL queries, investigating production incidents, or analyzing code logic to identify a bug, your work will directly impact millions of fans worldwide.
You’ll work in high-scale production environments, participating in incident management and on-call rotations, helping resolve critical issues and improving the reliability and stability of our platform.
This role also offers a unique opportunity for internal mobility; we value growth, and many of our support engineers eventually transition into full-time Software Engineering roles.
What would you do at Fever?
- Act as a technical point of contact for incident management, triage, escalation, and resolution.
- Participate in on-call rotations and support critical production incidents (Sev1/Sev2).
- Troubleshoot complex technical issues across our client-server architecture.
- Perform deep-dive investigations using logs, monitoring tools, and database analysis.
- Write and optimize complex SQL queries to resolve data-related issues.
- Investigate APIs, services, and backend flows to identify root causes.
- Collaborate with Product, Engineering, and Operations teams to improve system reliability and operational excellence.
- Document technical workarounds, incident learnings, and contribute to our internal knowledge base.
- Help improve monitoring, alerting, and troubleshooting processes.
About you - Must have skills:
Technical mindset
- Proven experience in technical support, production support, troubleshooting, or similar roles.
- Excellent analytical and problem-solving skills.
- Experience working in production environments with exposure to critical incidents and on-call rotations.
Databases
- Strong understanding of PostgreSQL, MySQL, or other relational databases.
- Ability to write complex SQL queries and work with stored procedures.
APIs & Systems
- Knowledge of APIs, services, and client-server architecture.
- Experience working with RESTful APIs and JSON.
- Solid understanding of Unix/Linux environments.
Monitoring & Operations
- Familiarity with ticketing tools such as Jira or Zendesk.
- Experience using monitoring and logging platforms such as Datadog, Splunk, Grafana, or Kibana.
- Understanding of incident management, triage, escalation, and root cause analysis processes.
Communication
- Professional proficiency in English (written and verbal).
- Experience collaborating with cross-functional and international teams.
Nice to have:
- Code Literacy: Ability to read or write code in JavaScript, Java, Python, Go, or Elixir (experience with Elixir is a significant bonus).
- Cloud & Infrastructure: Knowledge of AWS, Docker, and Kubernetes.
- Mobile: Familiarity with mobile products (Android and iOS) and design life cycles.
- Curiosity: An active GitHub account or open-source contributions.
- Academic: BSc degree in Computer Science, IT, or a relevant field.
Benefits & Perks
- Fever 40% discount: This discount is for personal use only
- Free Candlelight Event: This voucher is for single use only and is valid for 2 people
- Wellhub Membership: Wellhub gives employees unlimited access to a selected number of gyms, studios, classes, training, and wellness apps. Fever pays it up to the Silver plan
- Medical insurance: Fever offers “Seguro de Gastos Médicos Mayores” with the company GNP, free of charge, as it is covered 100% by Fever. This also includes dental and vision insurance fully paid by Fever
- Life Insurance (Mapfre): We offer this insurance fully paid by Fever
- Savings plan (SURA): The employee contributes 5% of the fixed salary, and Fever contributes another 5%
- English Lessons: Provided by Babelia, 100% paid by Fever
- Aguinaldo: 15 days of salary
- 20 days of paid vacation per year, which you can access after at least six months working with Fever
- Parental leave: Fever provides four (4) weeks of mandatory paid paternity leave, receiving 100% of the base salary, for (male) parents (both birthing and non-birthing)
- You can enjoy the afternoon off on your birthday if it falls on a working day. It’s our way of helping you celebrate!
Thank you for considering joining Fever. We cannot wait to learn more about you!
If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch
Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!
If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice
Ready to apply?
Apply to FeverUp
Hey there!
We’re Fever, the world’s leading tech platform for culture and live entertainment.
Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?
To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!
Ready to be part of the experience?
Now, let’s discuss this role and what you will do to help achieve Fever’s mission.
About the role
Behind our user-friendly apps and global platform is the Engineering team. We are looking for Tech Support Engineers to join our mission. In this role, you will be the bridge between our business operations and engineering, ensuring our systems run smoothly and our users have the best possible experience.
Whether you are deep-diving into complex SQL queries, investigating production incidents, or analyzing code logic to identify a bug, your work will directly impact millions of fans worldwide.
You’ll work in high-scale production environments, participating in incident management and on-call rotations, helping resolve critical issues and improving the reliability and stability of our platform.
This role also offers a unique opportunity for internal mobility; we value growth, and many of our support engineers eventually transition into full-time Software Engineering roles.
What would you do at Fever?
- Act as a technical point of contact for incident management, triage, escalation, and resolution.
- Participate in on-call rotations and support critical production incidents (Sev1/Sev2).
- Troubleshoot complex technical issues across our client-server architecture.
- Perform deep-dive investigations using logs, monitoring tools, and database analysis.
- Write and optimize complex SQL queries to resolve data-related issues.
- Investigate APIs, services, and backend flows to identify root causes.
- Collaborate with Product, Engineering, and Operations teams to improve system reliability and operational excellence.
- Document technical workarounds, incident learnings, and contribute to our internal knowledge base.
- Help improve monitoring, alerting, and troubleshooting processes.
About you - Must have skills:
Technical mindset
- Proven experience in technical support, production support, troubleshooting, or similar roles.
- Excellent analytical and problem-solving skills.
- Experience working in production environments with exposure to critical incidents and on-call rotations.
Databases
- Strong understanding of PostgreSQL, MySQL, or other relational databases.
- Ability to write complex SQL queries and work with stored procedures.
APIs & Systems
- Knowledge of APIs, services, and client-server architecture.
- Experience working with RESTful APIs and JSON.
- Solid understanding of Unix/Linux environments.
Monitoring & Operations
- Familiarity with ticketing tools such as Jira or Zendesk.
- Experience using monitoring and logging platforms such as Datadog, Splunk, Grafana, or Kibana.
- Understanding of incident management, triage, escalation, and root cause analysis processes.
Communication
- Professional proficiency in English (written and verbal).
- Experience collaborating with cross-functional and international teams.
Nice to have:
- Code Literacy: Ability to read or write code in JavaScript, Java, Python, Go, or Elixir (experience with Elixir is a significant bonus).
- Cloud & Infrastructure: Knowledge of AWS, Docker, and Kubernetes.
- Mobile: Familiarity with mobile products (Android and iOS) and design life cycles.
- Curiosity: An active GitHub account or open-source contributions.
- Academic: BSc degree in Computer Science, IT, or a relevant field.
Benefits & Perks
- Fever 40% discount: This discount is for personal use only
- Free Candlelight Event: This voucher is for single use only and is valid for 2 people
- Wellhub Membership: Wellhub gives employees unlimited access to a selected number of gyms, studios, classes, training, and wellness apps. Fever pays it up to the Silver plan
- Medical insurance: Fever offers “Seguro de Gastos Médicos Mayores” with the company GNP, free of charge, as it is covered 100% by Fever. This also includes dental and vision insurance fully paid by Fever
- Life Insurance (Mapfre): We offer this insurance fully paid by Fever
- Savings plan (SURA): The employee contributes 5% of the fixed salary, and Fever contributes another 5%
- English Lessons: Provided by Babelia, 100% paid by Fever
- Aguinaldo: 15 days of salary
- 20 days of paid vacation per year, which you can access after at least six months working with Fever
- Parental leave: Fever provides four (4) weeks of mandatory paid paternity leave, receiving 100% of the base salary, for (male) parents (both birthing and non-birthing)
- You can enjoy the afternoon off on your birthday if it falls on a working day. It’s our way of helping you celebrate!
Thank you for considering joining Fever. We cannot wait to learn more about you!
If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch
Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!
If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice
Ready to apply?
Apply to FeverUp
Python Developer (IoT sphere)
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Company Background
Our client is a global leader in access solutions and smart home technologies. With over a decade of innovation in the IoT space, the company is a pioneer in connected home solutions, including garage door openers, gate systems, and smart access management tools. One of their flagship innovations is the platform, which allows users to control and monitor their home access systems through connected devices. The current focus is a mobile app designed to support and manage gated communities.
Project Description
AI platform is a modern, cloud-native, and device-integrated system supporting advanced computer vision, generative AI, and smart automation for access control and security. The platform is continuously evolving, with a strong focus on validation, automation, and scalability to support millions of IoT devices and next-generation smart home features.
Technologies
- Python
- FastAPI
- AWS
- Docker
- Kubernetes
- CI/CD
- LLM / Generative AI
- vLLM
- Kafka / RabbitMQ
What You'll Do
- Design and implement a rules engine platform as part of the AI microservices ecosystem;
- Collaborate with AI/ML engineers to integrate business logic and rule-based decisioning into the platform;
- Develop robust, maintainable, and scalable Python microservices;
- Ensure high code quality, test coverage, and adherence to best practices (PEP 8, code reviews, CI/CD);
- Work with containerization (Docker) and orchestration (Kubernetes) for deployment.
Job Requirements
- 4+ years of experience with Python;
- Experience building rules engines or similar business logic platforms;
- Experience with FastAPI or similar frameworks;
- Experience with Docker, Kubernetes, and CI/CD pipelines;
- Experience working with AWS (EKS, SQS, S3, EC2, MSK);
- Strong software engineering fundamentals and clean code practices;
- Basic experience with LLMs and tools like vLLM;
- Strong communication skills;
- English proficiency at B2 level or higher;
Nice to Have:
- Background in AI/ML platforms or agent frameworks;
- Familiarity with messaging systems (RabbitMQ, Kafka);
- Understanding of concurrent programming;
- Exposure to Amazon Bedrock;
- Familiarity with observability tools (OpenTelemetry, DataDog);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Important Information
Experience: +7 years
Job Mode: Full-time
Work Mode: Remote
ID: 21307
Job Summary
We are seeking a versatile Senior Fullstack Java Developer who can contribute across both backend and UI development. This role is ideal for an engineer with strong backend expertise in Java who is also comfortable working on frontend components and collaborating with design teams when needed.
The ideal candidate does not need to be a dedicated UI expert, but should be capable of supporting and implementing user interface work as part of a fullstack engineering role. Experience or familiarity with Figma is highly desirable to help translate designs into functional applications and collaborate effectively with product and design teams.
Responsibilities and Duties
- Design, develop, and maintain scalable fullstack applications with a primary focus on Java backend development.
- Build and enhance frontend/UI components as needed to support product initiatives.
- Collaborate with product managers, designers, and engineers to deliver high-quality user experiences.
- Work with Figma designs and mockups to implement responsive and functional interfaces.
- Develop and maintain RESTful APIs and backend services.
- Participate in architecture discussions, technical design reviews, and code reviews.
- Troubleshoot and resolve issues across both backend and frontend layers.
- Ensure code quality, performance, scalability, and maintainability.
- Contribute to CI/CD processes, testing strategies, and deployment workflows.
- Mentor junior developers and promote engineering best practices.
Qualifications and Skills
- 5–8+ years of experience in software engineering or fullstack development.
- Strong hands-on experience with:
- Java and modern backend frameworks (Spring Boot preferred)
- Frontend technologies such as JavaScript/TypeScript, React, Angular, or similar
- Experience developing and consuming RESTful APIs.
- Strong understanding of fullstack application architecture.
- Ability to contribute to both backend and UI work as needed.
- Familiarity with responsive design and frontend best practices.
- Experience with version control systems (Git).
- Strong problem-solving and debugging skills.
Desirable Experience
- Experience or familiarity with Figma for collaborating with design teams and implementing UI designs.
- Exposure to modern UI/UX workflows and component-based design systems.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with CI/CD pipelines and DevOps practices.
- Experience with containerization tools such as Docker or Kubernetes.
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to Encora
DevOps Engineer (Digital Marketing industry)
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Company Background
Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.
Project Description
You will be embedded into one or more software engineering teams to provide operational service and infrastructure support. You will deliver service to your assigned team while contributing agnostic solutions to the broader Engineering organization. The role focuses on operating infrastructure, ensuring systems are monitored, automated, scalable, and production-ready. Responsibilities range from server provisioning and infrastructure automation to troubleshooting and application deployments.
Technologies
- AWS, Linux
- Terraform, Terragrunt, Ansible
- Bash, Python
- Kubernetes, Docker
- Microservice Architecture, REST APIs
- CI/CD (GitLab CI, GitHub Actions, Jenkins)
- Monitoring (Grafana, Prometheus, InfluxDB)
- Git
What You'll Do
- Design, build, and operate production infrastructure with strong automation focus
- Manage AWS-based cloud infrastructure and, where applicable, physical infrastructure
- Implement Infrastructure as Code using Terraform or Ansible
- Support containerized workloads using Docker and Kubernetes
- Collaborate with development teams to resolve operational issues
- Build and maintain monitoring and alerting systems
- Troubleshoot issues across the full application stack
- Work with logs to identify and resolve root causes of failures
- Document system architecture and operational procedures
- Participate in on-call rotation
Job Requirements
- 2+ years of experience in DevOps, cloud infrastructure, or related roles
- Hands-on experience with AWS (other clouds are a plus)
- Experience with Terraform or Ansible
- Strong troubleshooting skills in Linux environments
- Understanding of networking and internet fundamentals
- Experience with monitoring systems (Grafana, Prometheus, InfluxDB)
- Scripting skills in Bash or Python
- Experience with Docker and Kubernetes
- Familiarity with CI/CD pipelines
- Confident use of Git
- Understanding of security basics (IAM, secrets management, HTTPS/TLS)
- Ability to work independently and manage tasks effectively
- Readiness to participate in on-call
- English level: B1 (Intermediate) or higher
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
As a key member of the Quality Assurance team, you will be responsible for ensuring the reliability, performance, and security of our software products. You will design, develop, and execute comprehensive test plans that allow our development teams to ship high-quality code with confidence and speed.
Key Responsibilities
- Quality Strategy: Develop and implement robust test strategies and test cases for new and existing features.
- Test Automation: Design, write, and maintain automated test scripts (UI and API) to increase testing efficiency and coverage.
- Agile Collaboration: Participate in Agile ceremonies (Sprint Planning, Stand-ups, Retrospectives) to provide "QA perspective" from the start of the development cycle.
- Defect Management: Identify, document, and track software defects to resolution using bug-tracking tools (e.g., Jira).
- Cross-Functional Communication: Communicate effectively with developers, product owners, and stakeholders to clarify requirements and report on software health.
- CI/CD Integration: Integrate automated tests into CI/CD pipelines to ensure continuous quality and rapid feedback loops.
- Root Cause Analysis: Perform thorough regression testing and root cause analysis when bugs are identified in production.
- Continuous Improvement: Proactively suggest improvements to the development process to prevent defects before they occur.
- Soft Skills: Demonstrate a detail-oriented mindset, professional curiosity, and a "quality-first" attitude.
Requirements
- Experience: Proven experience in Software Quality Assurance (Manual and Automated testing).
- Language: English proficiency is mandatory.
- Programming Skills: Proficiency in at least one programming language (e.g., Java, Python, or JavaScript) for automation purposes.
- Testing Frameworks: Hands-on experience with automation tools such as Selenium, Cypress, Playwright, or Appium.
- API Testing: Experience testing RESTful APIs using tools like Postman, SoapUI, or RestAssured.
- Databases: Basic to intermediate knowledge of SQL for data validation and backend testing.
- Version Control: Proficiency in Git and/or BitBucket.
- Documentation: Excellent skills in writing clear, concise, and comprehensive test plans and bug reports.
Preferred Qualifications (Pluses)
- Experience with Performance/Load Testing (e.g., JMeter, Locust).
- Knowledge of Security/Penetration Testing principles.
- Experience with Cloud Infrastructure (AWS, Azure, or GCP).
- Familiarity with Docker and Kubernetes for managing test environments.
LI-DC1
About Monks
Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.
Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.
We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.
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Junior Software Engineer, Python
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About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
The Role
We are looking for a Python developer who is curious, practical, and eager to grow within a strong engineering team. You should be comfortable writing Python, interested in backend systems, and willing to work in a fast-paced environment where reliability, security, and performance matter. You don't need to have mastered every part of our stack already, but you should be excited to learn, ask good questions, and build production-quality systems with support from experienced engineers.
You will work with our Python team to build secure, robust, and high-performance microservices that support critical revenue operations — including billing, tax calculation, customer commitments, and AI-powered automation. Over time, you will grow into owning parts of these services, helping us solve complex problems as the company scales.
People rely on our products to communicate every day, so we care deeply about resiliency, reliability, and thoughtful engineering.
Responsibilities
- Design and build developer-friendly and agent-friendly APIs
- Build, test, and deploy applications that support global communications services
- Help identify and resolve issues related to latency, scalability, and performance
- Create tools and AI agents to automate revenue operations
- Investigate production issues by tracing through logs, data, and code to understand root causes
- Learn how to support services in production, including incident investigation and on-call responsibilities with guidance from the team
- Collaborate with more experienced engineers on design decisions, code reviews, testing, observability, and deployment
Who we’re looking for
- 1-2 years of professional software development experience with an object-oriented programming language
- Experience writing Python for web applications, APIs, or backend services.
- Familiarity with frameworks such as FastAPI, aiohttp, Flask, Django, or similar.
- Experience designing or consuming RESTful APIs.
- Some experience with asynchronous programming, or a willingness to learn it.
- Comfort working with PostgreSQL or another relational database.
- Familiarity with SQL queries, schema design, migrations, or query performance.
- Exposure to event-driven architectures or message brokers such as RabbitMQ, Kafka, or similar.
- An interest in highly available, uptime-critical production environments.
- Understanding of microservice architecture patterns, and curiosity about trade-offs and anti-patterns.
- Familiarity with some of the following: Docker, Kubernetes, Consul, GitHub Actions, Argo CD, Prometheus, or OpenTelemetry.
- Strong troubleshooting instincts. You are willing to dig through logs, query databases, read unfamiliar code, and ask questions to get to the bottom of an issue.
- Willingness to learn how to support services in production, including incident resolution and on-call processes.
- Comfort using AI coding agents as part of your investigation workflow, while knowing when to rely on your own judgement.
Bonus Points For
- Experience with billing, tax, or financial systems.
- Telecom domain knowledge.
- Experience with SQLAlchemy and Alembic.
- A thoughtful approach to decision making, knowing when to move quickly and when to optimize for the long term.
- Interest in fast-paced, product-driven environments.
- Curiosity about new technologies and patterns, and enjoyment in sharing what you learn.
- Familiarity with agent communication protocols such as MCP or A2A.
- Experience building AI agents or LLM-powered applications.
#LI-KG1 #LI-REMOTE
Ready to apply?
Apply to Telnyx
Technical Support Engineer – Bilingual English/Spanish – Remote (Mexico)
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Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
Join our Technical Support Team at Tenable where you’ll play a pivotal role in bridging the gap between our products and customers. Solve real-world technical challenges by offering exceptional support for cutting-edge vulnerability assessment and compliance auditing software. Your expertise will shine in complex, multi-layered customer environments. Our suite of products, detailed at https://www.tenable.com/products, offers a diverse range of opportunities. From assisting customers with their first Nessus scanner to guiding them through intricate log correlation and real-time vulnerability analysis, you'll contribute to mitigating cyber risks and closing the Cyber Exposure gap. Join us in delivering top-notch support that makes a difference!
Your Opportunity:
- Work closely and build relationships with the rest of the Tenable team, including Sales, Customer Advocacy, Research & Development, and Operations
- Troubleshoot, analyze and address customer technical inquiries and ensure timely problem resolution
- Use remote troubleshooting techniques to troubleshoot and correct issues
- Analyzing vulnerability scan results, system audits, and log events
- Help customers understand vulnerability scan results, system audits, and/or log events and provide clear, concise, and actionable information to quickly resolve issues
- Recreate customer software issues in a lab environment for engineering assessment
- Ensure customer feedback is properly captured and channeled into Product Management and Research & Development
- Maintain in-depth knowledge of Tenable products and information security best-practices
- Create and publish solution knowledge for re-use by customers and Tenable employees
- Continually review personal performance metrics to ensure goals are consistently met
- May perform other duties and responsibilities that management may deem necessary from time to time
- Opportunities for career advancement within Technical Support as well as other organizations within Tenable
What You'll Need:
- Fluency and ability to explain technical concepts in English and Spanish
- Must be located in Mexico
- Bachelor’s degree in a technical field or equivalent experience
- 2+ years professional experience with networking (TCP/IP), Linux/Unix, macOS, Windows administration, patch deployment, and system configuration
- Experience providing technical support to enterprise clients, troubleshooting complex issues in production or customer environments; network security experience a plus
- Demonstrated interest in AI and Large Language Models (LLMs), with hands-on experience professionally or personally. Willingness to adopt and help evolve AI-driven tools designed to accelerate case resolution and elevate the customer experience.
- Knowledge of computer, network, and application security; familiarity with Nessus or similar tools is a bonus
- Strong analytical and problem-solving skills, with the ability to learn quickly
- Excellent written and verbal communication; customer-focused mindset
- Ability to manage multiple priorities in a fast-paced environment to help meet business and client needs
- Flexibility to work occasional weekends or holidays
- Ability to work hours supporting the US Eastern/LATAM time zones
And Ideally:
- Using Nessus and/or other vulnerability management or cybersecurity tools, either professionally or in an academic setting
- Experience with ticketing systems (JIRA, Salesforce, Zendesk etc.)
- Log analysis using a SEIM product (Splunk, ElasticSearch, etc.)
- Database technologies and SQL knowledge (Oracle, MySQL, MSSQL, etc.)
- Virtualization technology (VMWare, Hyper-V, Amazon AWS, Microsoft Azure, Docker, etc.)
- Fundamental understanding of programming languages
- Experience in Industry Security Standards (DISA, HIPAA, CIS, ISO 27001, etc.)
- Experience with or understanding of Certificates and CA’s
- Basic understanding of reviewing PCAPs with tools such as Wireshark
#LI-Remote
#LI-MM1
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
Ready to apply?
Apply to Tenable, Inc.
Senior DevOps / Platform Engineer (Contract)
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About us:
Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.
The Role:
We are seeking a Senior DevOps / Platform Engineer to manage and maintain cloud infrastructure on GCP. You will ensure platform reliability, optimize CI/CD pipelines, and support the engineering team with infrastructure needs across Kubernetes and Cloud Run environments.
Key Responsibilities:
- Manage and maintain GCP infrastructure, including Kubernetes clusters and Cloud Run services
- Build and optimize CI/CD pipelines for automated testing, builds, and deployments
- Monitor platform health, set up alerting, and respond to infrastructure incidents
- Manage Elasticsearch, Redis / Valkey, and other data infrastructure components
- Implement infrastructure-as-code practices for reproducible environments
- Collaborate with development teams to ensure smooth deployment workflows
- Maintain security best practices across cloud infrastructure and access controls
Required Skills:
- 6+ years of professional DevOps, SRE, or platform engineering experience
- Strong proficiency with GCP services, particularly GKE (Kubernetes) and Cloud Run
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes)
- Experience building and maintaining CI/CD pipelines (GitHub Actions, Cloud Build, or similar)
- Working knowledge of Elasticsearch cluster management and Redis / Valkey operations
- Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or similar)
- Strong understanding of networking, security, and monitoring in cloud environments
Nice to Have:
- Experience with observability tools (Datadog, Prometheus, Grafana)
- Familiarity with Node.js / TypeScript application deployment patterns
- Experience with cost optimization strategies on GCP
Employment Type:
- Contract
#LI-Remote
Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR
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Apply to Tech HoldingRole Description
As a Corporate Site Reliability Engineer (SRE) at Dropbox, you will help lead the infrastructure strategy and technical direction of one of the most innovative technology companies globally. Successful candidates will possess a growth mindset, strong accountability and be passionate about designing, building, and securing scalable infrastructure services in a dynamic environment. You will drive improvement projects in automation and observability and effectively handle incidents that arise in a prompt but measured way. In this role, you'll serve as a technical lead of programs related to monitoring, metrics, alerting and reliability throughout the IT Services organization, and contribute to the evolution of our world-class infrastructure while ensuring utmost security and scalability.
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
Responsibilities
- Ensure the reliability, scalability, and performance of Dropbox's infrastructure and services
- Collaborate with cross-functional teams to develop and maintain best practices for monitoring, logging, and incident response
- Build, Implement and maintain automations & infrastructure-as-code tooling, specifically Terraform, Ansible, and Github Actions as well as custom code platforms
- Utilize container orchestration platforms, such as Kubernetes, Amazon ECS and Red Hat Openshift, to manage containers at scale
- Manage and optimize monitoring and logging pipelines using tools like Datadog and Cribl LogStream
- Drive improvement projects related to service health and visibility for our stakeholders, ranging from developers to business service owners to C-level
- Develop and maintain custom tooling and automation scripts in Bash, Python and other scripting languages
On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.
Requirements
- 5+ years of experience in site reliability engineering or a similar engineering roles with hands-on coding experience
- Strong knowledge of AWS services, including EC2, S3, RDS, R53, Lambda, and others
- Strong knowledge of Linux administration, internals, filesystems, volume management and specific distro's such as Ubuntu, RHEL, DNS, DHCP
- Experience with monitoring and logging tools, Datadog and logging pipeline tools such as Vector or Cribl LogStream
- Experience driving one or more transformational programs related to metrics and observability
- Experience with scripting in a higher level language (Python preferred)
- Experience developing automation to solve infrastructure-related tasks with tools such as Chef/Ansible/Terraform
- Experience with log analysis and building metrics, alerts and visuals from log data
- Strong proficiency in infrastructure-as-code tools, such as Terraform
- Strong Proficiency in Config Management tools specifically Ansible Automation Platform and Chef
- Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes or Amazon ECS
- Knowledge of LDAP, REST API's and current Auth
- Familiarity with GitHub and Git-based workflows
- Understanding of RDS databases and network security technologies, such as WAF
- Strong problem-solving skills and the ability to work well in a fast-paced, collaborative environment
- Excellent written and verbal communication skills
Preferred Qualifications
- Experience managing large-scale multi-cloud or hybrid infrastructure.
- Strong background in Infrastructure as Code (Terraform, Ansible) and GitOps workflows.
- Familiarity with Kubernetes, Docker, and serverless platforms.
- Proven track record improving observability, reliability, and incident response.
- Understanding of compliance and security frameworks (SOC2, ISO 27001, FedRAMP).
- Experience implementing Zero Trust security and access models.
Ready to apply?
Apply to Dropbox
Software Engineer, Data Infrastructure & Acquisition - Mexico City, Mexico
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
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.
Ready to apply?
Apply to Speechify
Software Engineer, Data Infrastructure & Acquisition - Guadalajara, Mexico
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
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.
Ready to apply?
Apply to Speechify
Software Engineer, Platform - Mexico City, Mexico
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
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.
Ready to apply?
Apply to Speechify
Software Engineer, Platform - Monterrey, Mexico
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
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.
Ready to apply?
Apply to Speechify
Contract: AI Operations Specialist
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Why You'll Love This Role:
We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines. This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.
What You'll Be Doing:
- Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
- Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
- Automate infrastructure provisioning and service configuration with Terraform.
- Work to maintain and scale services that make use of third party LLM providers.
- Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
- Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
- Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.
About You:
- 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
- Strong proficiency in Python.
- Hands-on experience with Docker containerization and container orchestration.
- Solid understanding of CI/CD for ML workflows in an enterprise production environment.
- Experience with Infrastructure as Code, preferably Terraform.
- Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
- Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
- Experience building and maintaining data pipelines for ML training and feature engineering
- Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
- Experience monitoring and flagging model drift over time.
- Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
- Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
- Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
- Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
- Working knowledge of ML serving frameworks such as BentoML or similar.
- Comfort working with FastAPI or similar async Python web frameworks.
Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits
About Newsela:
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.
#LI-Remote
Ready to apply?
Apply to Newsela
Who We Are
Build. Scale. Sustain.
PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We’re proud to be a World Economic Forum New Champion and a B Corp-certified company.
- We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, 650+ experts from 50+ nationalities)
- We are robust and resilient (100% independent and 0 debt)
- We are entrepreneurs and passionate experts: we invest in what we genuinely believe in and work as a collective intelligence
- We are positive, courageous, caring, doers, and committed to excellence
About Gen-e2
While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with strong collaboration between generative AI and our best talents:
- We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.
- Quality consistently exceeds the output of our best traditional engineering teams.
- A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
- A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.
Your Role
As a Tech Lead Full Stack with a strong software architecture mindset, you will lead the technical delivery of digital products end-to-end—hands-on when needed—while guiding teams toward scalable, secure, and maintainable solutions.
Key Responsibilities
- Lead the design and evolution of technology solutions, ensuring scalability, performance, security, and maintainability.
- Drive architectural decisions and trade-offs (e.g., microservices vs modular monolith), applying patterns such as DDD, Clean/Hexagonal Architecture, and event-driven approaches when relevant.
- Design, build, and evolve REST APIs, including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling.
- Define and enforce engineering standards: clean code, testing strategy, code reviews, observability, security practices, and CI/CD.
- Mentor and coach engineers, fostering a strong delivery culture and continuously raising the engineering bar.
- Partner with Product, QA, UX, and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally.
- Encourage AI-first engineering practices (Copilot/GenAI) with proper governance: quality gates, security, traceability, and testing.
Who You Are
- 10+ years of software engineering experience with proven technical leadership (Tech Lead, Lead Engineer, or strong senior with leadership responsibilities).
- Strong backend expertise in Java (ideally 17/21/25+) or .NET, with solid testing practices (e.g., JUnit/Mockito or .NET equivalents) and performance awareness.
- Strong frontend expertise in Angular (ideally 12+) with TypeScript, RxJS, frontend architecture, and performance best practices.
- Proven ability to design and communicate software architecture: microservices/modular monoliths, Clean/Hexagonal, SOLID principles, integration patterns, and API design.
- Strong engineering fundamentals: CI/CD, Git workflows, code review practices, observability (logs/metrics/traces), and a secure-by-design mindset.
Nice to have / Strong plus
- Kafka/RabbitMQ, event-driven architectures, CQRS, saga/outbox patterns.
- Docker/Kubernetes, Terraform/IaC, and cloud experience (AWS/Azure/GCP).
- OAuth2/OIDC, JWT, and security best practices (OWASP).
- Experience in high-traffic systems, performance tuning, and caching strategies.
- Experience working in AI-assisted engineering environments and setting quality/security guardrails.
- Excellent communication and stakeholder management skills; able to influence decisions and align teams.
- Professional English (B2+ preferred) for global collaboration and documentation.
More About PALO IT
We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:
- Become a climate net-zero company
- Deliver projects with a positive impact
- Train 100% of our workforce on impact
- Achieve B Corp certification among all our offices across the globe
- Continuously measure & improve employee happiness
Our clients are amongst the world’s most successful companies. We innovate with established Fortune 1000s, SMEs, and start-ups who aim to make an impact, become global leaders, and address the world’s most complex challenges.
What We Offer
- Stimulating working environments
- Unique career path
- International mobility
- Internal R&D projects
- Knowledge sharing
- Personalized training
- Entrepreneurship & intrapreneurship
For more on our team culture and benefits:
Check out our careers page.
And our PALOCast with direct testimonies from our Palowans!
PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security. For more information on our privacy practices, please refer to our Privacy Policy.
Ready to apply?
Apply to PALO IT
Software Engineer (front and backend) - Hybrid
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About Us
SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.
At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.
More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.
Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.
Our Culture
At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:
- We think big
- We take simplicity seriously
- We come as we are
- We act with humility
- We are built on trust
Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.
Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.
🚀 Meet us in CDMX!
Want to meet the team before you apply? Join us on May 28th for our "Beyond the App: Building the Future of Tech with AI & Data" Meet-up in collaboration with RubyCDMX.
Talk AI, Data, and Engineering with our leads over drinks! 🍺 👉 RSVP here: https://luma.com/32jeyopv
The Role
SimplePractice is hiring for an experienced Senior Software Engineer to join our team in a hybrid role. The ideal candidate will have expert-level knowledge in Ruby on Rails and extensive frontend development experience. This role will be instrumental in implementing a wide variety of planned features and service enhancements to support our growing platform.
As one of the first hires in our brand-new Mexico City location, you will play a pivotal role in helping us build a team of software developers who are passionate about what they do.
About You
- You are a passionate, talented engineer who is willing to push the limits of existing technology to create the best possible user experience
- You work on the front-end with heavier emphasis on the backend to develop new features from start to finish, including design of architecture, coding, and testing
- You are delighted by good design and bring that taste to your front-end work
- You love building products that help 200,000+ customers in their day-to-day life
Responsibilities
- Build out the next generation practice management platform
- Work with our Engineering Leadership and Talent group to scale our new office in Mexico City
- Collaborate with our Product group to help understand customer needs, troubleshoot potential problems and define upcoming features
- Write clean, efficient and well-tested code that improves our code base in meaningful ways
- Own frontend architecture decisions including state management, UI performance, navigation
- Help diagnose problems and architect solutions
Desired Skills & Experience
- You have 2 to 5 years of engineering experience, with hands-on Ruby on Rails expertise for a part of your career
- You're proficient in English, with strong communication and collaboration skills
- You have a degree in Computer Science or a related technical field
- You possess strong experience in at least one modern JavaScript framework, specifically Ember.js or React.js, and the ecosystem around those frameworks
- You have designed and implemented large, scalable web applications and have an appreciation for clean, elegant, and simple code
- You have experience taking Rails apps from idea to production
- You understand the value and nuances of Test-Driven Development
- You're comfortable working with remote teams, using GitHub, Slack, Notion, and Zoom to collaborate
Bonus Points
- You’re excited about holding a lead role to help us scale a brand new software developer office
- You have a good understanding of web application security and best practices
- Working knowledge of managing environments using Docker, MySQL, Postgres, Redis, NGINX, and various AWS services
- Confident working with production environments to help troubleshoot problems
- Experience with Linux
- Infrastructure management via Terraform/Ansible
- Experience with compliance standards PCI/HIPAA
Benefits
We offer a competitive benefits program including:
- Privatized Medical, Dental & Vision Coverage
- Work From Home stipend
- Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
- Monthly Meal Reimbursement
- Holiday Bonus, 15-day Aguinaldo
- Hybrid Work Schedule & Catered Lunch
- A relocation bonus for candidates joining us from a different city
- Employee Resource Groups (ERGs)
California Job Applicant Privacy Notice
Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.
For more information about our privacy practices, please contact us at privacy@simplepractice.com.
Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.
The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.
Ready to apply?
Apply to SimplePractice
Red Team Consultant
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At Bishop Fox, security isn't just a job—it's our passion. As leaders in continuous offensive security and penetration testing, we deliver world-class customer experiences. Trusted by over a quarter of the Fortune 100, half of the Fortune 10, and top global media companies, we help safeguard digital landscapes. Our Cosmos platform, honored as Best Emerging Technology by SC Media, exemplifies our commitment to innovation.
Joining Bishop Fox means collaborating with a curious and dedicated team. You'll tackle complex challenges for some of the world's most recognized organizations, securing their networks against real-world threats. With nearly 20 years of industry contributions—including 16 open-source tools and 50 security advisories published in the past five years—we're committed to making the digital world safer.
We’re seeking remote, US or Mexico-based hacking professionals focused on red teaming to join our team – and help us build a more secure world.
Who You Are and What You’ll Do
You are a born red teamer; you see problems and solutions in everything. You instinctively know your way around source code. You’ve plundered apps and pillaged networks (legally, of course). You have a passion for hacking that goes beyond a career – it’s a way of life for you. At this point, you may have accumulated a few disclosures, written blog posts, and given some industry talks.
With Bishop Fox you’ll be running red teaming engagements, starting with research and including profiling organizations, defining attack objectives and crafting attack tree graphs and other key planning efforts. You will then perform operations based on planning to achieve the attack objectives through a variety of potential attack paths, including network, web applications, physical, social engineering, and others. You will help our customers understand their attack surface by communicating, ability to respond to incidents, report on steps taken, and issues discovered. Additionally, you’ll provide thoughtful, tailored, and actionable recommendations.
As a consultant, you’ll solve challenging technical problems and build creative solutions in a client-facing role. As a trusted advisor, you’ll provide your expert opinion to help our clients navigate difficult business decisions including how to prioritize critical findings. And as a senior penetration tester, you’ll lead small teams on one-of-a-kind engagements, mentor co-workers, and contribute significantly to the advancement of our consulting practice
Requirements
- 2-4 years of offensive security experience supporting a variety of adversary emulation engagements (red teaming and purple teaming) with clients from a variety of industries.
- Working knowledge of all common operating systems such as Windows, MacOS, Linux, ChromeOS
- Expertise in Windows Active Directory exploitation and lateral movement
- Working knowledge of “cloud” platforms (AWS/Azure/GCP and O365/Google Workspace) and container technologies (Kubernetes/Docker)
- Hands-on experience with c2 frameworks like Sliver, Nighthawk, Mythic, and others
- Experience with custom tool and payload development, as well as reverse engineering, and evasion techniques
- Experience researching and developing EDR evasion techniques.
- Proficiency in multiple programming languages (preferably Python, Golang, JavaScript/TypeScript, C#, C/C++, PowerShell, and/or Bash)
- Network and web-related protocol knowledge (e.g., TCP/IP, HTTP, HTTPS, etc.)
- Demonstrated experience with social engineering, conducting reconnaissance, development, and delivery of phishing/vishing pretexts as well as an understanding of email security technologies and other related countermeasures
- Excellent written and verbal communication skills
Nice to have:
- Expertise in exploit development and/or assembly (x86/arm)
- Threat modeling, threat intelligence, or incident response experience
- Experience with DevOps and CI/CD technologies
- Experience conducting physical penetration testing engagements, including entry skills, RFID hacking, and alarm bypasses
- OSCP/E, GWAPT, GPEN, or GXPN certifications can be helpful, but are not a necessity
Why Bishop Fox
At Bishop Fox, we're driven by a simple mission: deliver exceptional quality to our clients, foster a vibrant and fulfilling environment for our team, and champion excellence within our industry. Our core values, which we live by every day, are:
- Be Excellent to Each Other
- Do the Right Thing
- Do What You’ll Say You’ll Do
- Get Better Together
- Give a Sh*t
- Get Better Together
At Bishop Fox, we're committed to providing benefits that support your well-being and professional growth. Here's a glimpse of what we offer:
- Generous Time Off and Company-Wide Holidays
- Team Events and International Travel Opportunities
- Work From Home Support
- Monthly Allowance for Cell Phone and Internet
- Training Budget
- Retirement; 401k Matching for Traditional and Roth Accounts in the US
- Health Insurance Options Including Medical, Dental, Vision
- Paid Parental Leave
Bishop Fox is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. All new hires must pass a background check as a condition of employment.
Interested? Apply today!
Ready to apply?
Apply to Bishop Fox
Senior Red Team Consultant
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At Bishop Fox, security isn't just a job—it's our passion. As leaders in continuous offensive security and penetration testing, we deliver world-class customer experiences. Trusted by over a quarter of the Fortune 100, half of the Fortune 10, and top global media companies, we help safeguard digital landscapes. Our Cosmos platform, honored as Best Emerging Technology by SC Media, exemplifies our commitment to innovation.
Joining Bishop Fox means collaborating with a curious and dedicated team. You'll tackle complex challenges for some of the world's most recognized organizations, securing their networks against real-world threats. With nearly 20 years of industry contributions—including 16 open-source tools and 50 security advisories published in the past five years—we're committed to making the digital world safer.
We’re seeking remote, US or Mexico-based hacking professionals focused on red teaming to join our team – and help us build a more secure world.
Who You Are and What You’ll Do
You are a born red teamer; you see problems and solutions in everything. You instinctively know your way around source code. You’ve plundered apps and pillaged networks (legally, of course). You have a passion for hacking that goes beyond a career – it’s a way of life for you. At this point, you may have accumulated a few disclosures, written blog posts, and given some industry talks.
With Bishop Fox you’ll be running red teaming engagements, starting with research and including profiling organizations, defining attack objectives and crafting attack tree graphs and other key planning efforts. You will then perform operations based on planning to achieve the attack objectives through a variety of potential attack paths, including network, web applications, physical, social engineering, and others. You will help our customers understand their attack surface by communicating, ability to respond to incidents, report on steps taken, and issues discovered. Additionally, you’ll provide thoughtful, tailored, and actionable recommendations.
As a senior-level consultant, you’ll solve challenging technical problems and build creative solutions in a client-facing role. As a trusted advisor, you’ll provide your expert opinion to help our clients navigate difficult business decisions including how to prioritize critical findings. And as a senior penetration tester, you’ll lead small teams on one-of-a-kind engagements, mentor co-workers, and contribute significantly to the advancement of our consulting practice
Requirements
- 5+ years of offensive security experience supporting a variety of adversary emulation engagements (red teaming and purple teaming) with clients from a variety of industries.
- Working knowledge of all common operating systems such as Windows, MacOS, Linux, ChromeOS
- Expertise in Windows Active Directory exploitation and lateral movement
- Working knowledge of “cloud” platforms (AWS/Azure/GCP and O365/Google Workspace) and container technologies (Kubernetes/Docker)
- Hands-on experience with c2 frameworks like Sliver, Nighthawk, Mythic, and others
- Experience with custom tool and payload development, as well as reverse engineering, and evasion techniques
- Experience researching and developing EDR evasion techniques.
- Proficiency in multiple programming languages (preferably Python, Golang, JavaScript/TypeScript, C#, C/C++, PowerShell, and/or Bash)
- Network and web-related protocol knowledge (e.g., TCP/IP, HTTP, HTTPS, etc.)
- Demonstrated experience with social engineering, conducting reconnaissance, development, and delivery of phishing/vishing pretexts as well as an understanding of email security technologies and other related countermeasures
- Excellent written and verbal communication skills
Nice to have:
- Expertise in exploit development and/or assembly (x86/arm)
- Threat modeling, threat intelligence, or incident response experience
- Experience with DevOps and CI/CD technologies
- Experience conducting physical penetration testing engagements, including entry skills, RFID hacking, and alarm bypasses
- OSCP/E, GWAPT, GPEN, or GXPN certifications can be helpful, but are not a necessity
Why Bishop Fox
At Bishop Fox, we're driven by a simple mission: deliver exceptional quality to our clients, foster a vibrant and fulfilling environment for our team, and champion excellence within our industry. Our core values, which we live by every day, are:
- Be Excellent to Each Other
- Do the Right Thing
- Do What You’ll Say You’ll Do
- Get Better Together
- Give a Sh*t
- Get Better Together
At Bishop Fox, we're committed to providing benefits that support your well-being and professional growth. Here's a glimpse of what we offer:
- Generous Time Off and Company-Wide Holidays
- Team Events and International Travel Opportunities
- Work From Home Support
- Monthly Allowance for Cell Phone and Internet
- Training Budget
- Retirement; 401k Matching for Traditional and Roth Accounts in the US
- Health Insurance Options Including Medical, Dental, Vision
- Paid Parental Leave
Bishop Fox is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. All new hires must pass a background check as a condition of employment.
Interested? Apply today!
Ready to apply?
Apply to Bishop Fox
Lead Data Engineer
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WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Lead Data Engineer
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WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Lead Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Lead Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Lead Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Lead Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Lead Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Lead Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Software Engineer, Data Infrastructure & Acquisition - Monterrey, Mexico
Share this job
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
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.
Ready to apply?
Apply to Speechify
Senior Site Reliability Engineer
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What Makes Us Unique
At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.
How You'll Make an Impact:
As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.
Our SRE Team:
We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.
What You Bring to the Team:
- Design and implement a reliable, scalable, and efficient cloud infrastructure to support our global platform's growth
- Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components
- Develop and continuously improve monitoring and logging systems using Prometheus, DataDog, and Loki stacks
- Participate in on-call rotation to support the production environment and ensure rapid response to outages
- Lead incident response efforts, ensuring minimal service impact while documenting learnings and implementing preventive measures
- Collaborate with development teams to establish Service Level Objectives (SLOs) and ensure systems meet or exceed reliability targets.
- Champion SRE best practices across engineering, mentoring teams on resiliency, performance optimization, and scalability
- Automate platform operations with infrastructure-as-code (Terraform) and configuration management tools
What Sets You Up for Success:
- 5+ years of hands-on experience as an SRE or Systems Engineer working extensively with AWS cloud infrastructure
- 3+ years of production experience with Kubernetes, Docker, and Helm charts at scale
- Proven track record implementing and scaling Elastic Kubernetes Service (EKS) platforms
- Strong expertise with monitoring, logging, and alerting technologies (ELK, Datadog, Loki, or AWS CloudWatch)
- Experience with GitOps and ArgoCD
- Working knowledge of web infrastructure, including NGiNX, Ingress controllers, MySQL/PostgreSQL/Aurora, Redis/Memcached, and SQS
- Business professional English required
Bonus Skills to Stand Out:
- Advanced Database Administration experience with Aurora, MySQL, or PostgreSQL
- Support and enhance the release process through CI/CD pipeline development and optimization
- Experience working in PCI-compliant environments and security-focused infrastructure
- Familiarity with Kong API Gateway and API management at scale
#LI-REMOTE #LI-IK1
What to Expect - Your Journey with Us
Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
Learn more online at cloudbeds.com
Company Awards to Check Out!
- Best All-In-One Hotel Management System | HotelTechAwards (2025)
- Overall 10 Best Places to Work | HotelTechAwards (2025)
- Most Loved Workplace® Certified (2024)
- Top 10 People’s Choice(2024)
- Deloitte Technology Fast 500 (2024)
Discover our Benefits:
- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Monthly Wellness Fridays - enjoy an extra long weekend every month
- Full Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling and knowledge transfer.
Everyone is Welcome - A Culture of Inclusion
Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
#LI-REMOTE
Ready to apply?
Apply to Third-Party Job PostsSenior Site Reliability Engineer
Share this job
What Makes Us Unique
At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.
How You'll Make an Impact:
As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.
Our SRE Team:
We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.
What You Bring to the Team:
- Design and implement a reliable, scalable, and efficient cloud infrastructure to support our global platform's growth
- Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components
- Develop and continuously improve monitoring and logging systems using Prometheus, DataDog, and Loki stacks
- Participate in on-call rotation to support the production environment and ensure rapid response to outages
- Lead incident response efforts, ensuring minimal service impact while documenting learnings and implementing preventive measures
- Collaborate with development teams to establish Service Level Objectives (SLOs) and ensure systems meet or exceed reliability targets.
- Champion SRE best practices across engineering, mentoring teams on resiliency, performance optimization, and scalability
- Automate platform operations with infrastructure-as-code (Terraform) and configuration management tools
What Sets You Up for Success:
- 5+ years of hands-on experience as an SRE or Systems Engineer working extensively with AWS cloud infrastructure
- 3+ years of production experience with Kubernetes, Docker, and Helm charts at scale
- Proven track record implementing and scaling Elastic Kubernetes Service (EKS) platforms
- Strong expertise with monitoring, logging, and alerting technologies (ELK, Datadog, Loki, or AWS CloudWatch)
- Experience with GitOps and ArgoCD
- Working knowledge of web infrastructure, including NGiNX, Ingress controllers, MySQL/PostgreSQL/Aurora, Redis/Memcached, and SQS
- Business professional English required
Bonus Skills to Stand Out:
- Advanced Database Administration experience with Aurora, MySQL, or PostgreSQL
- Support and enhance the release process through CI/CD pipeline development and optimization
- Experience working in PCI-compliant environments and security-focused infrastructure
- Familiarity with Kong API Gateway and API management at scale
#LI-REMOTE #LI-IK1
What to Expect - Your Journey with Us
Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
Learn more online at cloudbeds.com
Company Awards to Check Out!
- Best All-In-One Hotel Management System | HotelTechAwards (2025)
- Overall 10 Best Places to Work | HotelTechAwards (2025)
- Most Loved Workplace® Certified (2024)
- Top 10 People’s Choice(2024)
- Deloitte Technology Fast 500 (2024)
Discover our Benefits:
- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Monthly Wellness Fridays - enjoy an extra long weekend every month
- Full Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling and knowledge transfer.
Everyone is Welcome - A Culture of Inclusion
Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
#LI-REMOTE
Ready to apply?
Apply to Third-Party Job PostsThe salary range for this role is $50,000 - $120,000 per year (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 talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
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.
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 believe in surrounding ourselves with only the best and the brightest individuals. 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
Ready to apply?
Apply to SezzleThe salary range for this role is $6,000 - $12,500 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 12+ years of experience, the compensation range is $6,000 - $12,500 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.
Interview Process
We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.
- Application submitted (you are here)
- Wonderlic test (30-40 min)
- Interview with recruiters (30 min)
- Coding assessment (~1.5 hours)
- Interview with engineers (1 hour)
- Interview with engineering leadership (30-45 min)
- Offer!
About the Role:
We are seeking a talented and motivated best-in-class Principal Software Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
As a Principal Software Engineer with Sezzle, you will work with highly-motivated teams to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well. You will spend your time working with AI/ML tooling to identify creative uses to fill existing and emerging gaps in the applications.
In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates. Your work will generally focus on the lower level features and optimizations.
This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.
What You'll Do:
- Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns.
- Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences.
- Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity.
- Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
- Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
- Mentor engineers and champion a culture of learning, innovation, and operational excellence.
- Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.
What We Look For:
- 12+ years of professional software engineering experience, including significant backend experience.
- Deployed significant changes to a production application in the past 30 days.
- Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
- Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
- Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues).
- Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Preferred Knowledge and Skills:
- Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
- Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
- Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems.
- Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes).
- Working knowledge of TypeScript, React, or React Native.
- Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations).
- Track record of shipping commercial APIs and data-driven applications in high-growth environments.
- Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.
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
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 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 talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
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.
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 believe in surrounding ourselves with only the best and the brightest individuals. 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
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD 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 talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
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.
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 believe in surrounding ourselves with only the best and the brightest individuals. 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
Ready to apply?
Apply to SezzleAbout 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 talented and motivated Marketing Analyst- Comms who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
The Marketing Analyst - Comms, will sit at the intersection of data, CRM strategy, and AI-driven efficiency. We’re looking for an execution-oriented person who owns their work from end-to-end. You'll dive into the details of how our campaigns operate across email, push, SMS, and in-app channels, spot friction and inefficiency, and design smarter ways forward. You'll spend most of your time inside Braze, Sezzle's primary consumer-focused CRM and marketing automation platform, building and analyzing campaigns across email, push, SMS, and in-app channels. You'll dig into performance data to identify what's working, surface gaps in our consumer journeys, and develop new comms to fill them. You'll also look for every opportunity to apply AI tools to make the team's output faster, sharper, and more scalable.
This isn't a role where you wait for assignments. We want someone who can look at a set of data, identify the opportunity, and start building toward it then communicate what they found and why it matters to the team around them.
What You'll Do:
-
CRM Campaign Execution & Analysis
-
Build, launch, and iterate on campaigns and canvases in Braze across email, push, SMS, and in-app channels.
-
Audit existing consumer journeys to identify engagement gaps, drop-off points, and missed messaging opportunities.
-
Develop segmentation strategies and personalized comms that improve activation, engagement, and retention.
-
Support A/B test design, execution, and readout — translating results into clear, actionable recommendations.
-
Maintain performance dashboards and reporting frameworks that make campaign data interpretable for the broader marketing team.
-
Track KPIs including DAU, ARPDAU, LTV per user, open rates, click rates, and conversion, and surface insights tied to those metrics.
-
Effectively manage our marketing CRM tool to drive new and innovative use cases that can be shared across the team
-
Write SQL queries to investigate issues and campaign results using internal data
AI, Automation & Process Optimization
-
Identify opportunities to apply AI tools and automation across marketing workflows from copy generation to campaign QA to performance analysis.
-
Build and iterate on tools, templates, and agents that reduce manual effort and improve output consistency.
-
Stay current on emerging AI/automation capabilities and bring concrete recommendations for how they can be applied within Sezzle's marketing stack.
Cross-Functional Collaboration
-
Partner with marketing, product, data, and engineering teams to align on tooling decisions and ensure smooth implementation.
-
Serve as a connector between technical teams and marketing stakeholders, translating requirements in both directions.
-
Facilitate adoption of new tools and workflows by developing documentation, training materials, and hands-on support for team members.
-
Identify and flag integration risks early; bring concrete mitigation recommendations.
-
What We Look for:
-
Skills & Competencies
-
Hands-on experience building or implementing AI tools, agents, and automation in a professional setting.
-
Strong analytical skills, comfortable working with data, running queries, and presenting findings with context.
-
Experience in consumer marketing operations, CRM platforms (Braze or similar), or marketing technology stacks; Braze experience is a plus.
-
Ability to identify process inefficiencies and develop structured, scalable solutions.
-
Excellent written and verbal communication skills, and you can explain technical concepts clearly to non-technical teammates.
-
Basic project management skills; organized, proactive, and reliable with deadlines.
-
Experience with segmentation, A/B testing, and performance reporting.
-
Strong experience in data visualization tools and SQL.
-
Ability to prioritize and manage multiple tasks simultaneously
Educational & Professional Experience
-
Background in computer science, analytics, engineering, AI, and/or related fields.
-
Exposure to business, marketing, finance, or other related fields
-
Previous internships or academic projects involving campaign management, marketing analytics, and content creation preferred.
-
Professional, academic or personal projects that demonstrate an ability to creatively use AI to create efficiencies.
-
Preferred Qualifications:
-
Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
-
Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
-
Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
-
Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
-
Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
-
Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
-
Familiarity with cloud-native development using AWS.
-
Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
-
Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
-
Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
-
Experience with Golang is a plus (or willingness to learn).
-
Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
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.
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 believe in surrounding ourselves with only the best and the brightest individuals. 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
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD 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 talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
- Familiarity with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
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.
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 believe in surrounding ourselves with only the best and the brightest individuals. 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
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 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 talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with a focus on Marketing.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
- Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
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.
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 believe in surrounding ourselves with only the best and the brightest individuals. 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
Ready to apply?
Apply to SezzleThe salary range for this role is $50,000 - $120,000 per year (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 talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
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.
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 believe in surrounding ourselves with only the best and the brightest individuals. 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
Ready to apply?
Apply to Sezzle
Sr. Linux & OCI Administrator (Oracle Linux / RHEL)
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At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse, inclusive work culture centred on great people practices, learning opportunities, and fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling a rapid pace with some of the most complex, leading-edge technologies available.
For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.
As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!
Due to business and compliance requirements, this position is open only to candidates residing in Mexico. Applications from candidates outside this region will not be considered.
Job Overview
We are seeking an experienced Sr. Linux & Oracle Cloud Infrastructure (OCI) Administrator to support a production application hosted on OCI. The role focuses on Oracle Linux administration, OCI networking and security, Terraform-based automation, and operational support for SFTP and mail services.
Essential Duties & Responsibilities:
- Administer and support Oracle Linux systems (patching, tuning, troubleshooting)
- Manage OCI resources: compute, VCNs, subnets, routing, load balancers
- Configure and maintain OCI security (IAM, NSGs, security lists, compartments)
- Design and troubleshoot OCI networking and connectivity issues
- Provision and manage infrastructure using Terraform (IaC)
- Support SFTP and mail services (secure access, monitoring, troubleshooting)
- Perform system monitoring, backup coordination, and DR support
- Participate in production support, incidents, and on-call rotations
- Maintain operational documentation and runbooks
Requirements & Skills:
- 7+ years professional experience administering Linux in production (preferably Oracle Linux or closely related RHEL).
- Strong Hands-on experience with OCI administration (compute, networking, IAM, security)
- Experience supporting Oracle WebLogic Server
- Working knowledge of Oracle Database environments
- IaC & Automation: Deep proficiency with Terraform (modules, workspaces, remote state, testing) and Ansible (roles, collections, idempotency, vault).
- Systems Expertise:
- Kernel, systemd, SELinux/AppArmor, LVM/filesystems (xfs/ext4/btrfs), iSCSI/NFS, SSH/hardening.
- Package and patch management (yum/dnf, repo mirrors, Ksplice), vulnerability management, and baseline hardening (CIS/STIG).
- Solid understanding of Networking Fundamentals: TCP/IP, routing, DNS, DHCP, load balancing, proxies, firewalls/security groups, PKI/certificates (TLS).
- Scripting: Proficiency in Bash
- Experience with SFTP and SMTP/mail services
- Deployment Experience: Comfortable with both modern (immutable, pipelines, containers) and older practices (in‑place upgrades, change windows, maintenance runbooks).
- Troubleshooting: Proven ability to diagnose and resolve complex incidents across OS, network, and platform layers.
- Documentation & Communication: Clear written/verbal communication; ability to author design docs, runbooks, and RFCs.
Nice to Have (Preferred)
- Certifications: Oracle Linux, OCI Architect Professional/Associate, RHCSA/RHCE (or equivalents), Terraform Associate, Ansible Automation.
- Tooling: Packer, GitHub Actions/GitLab CI/Azure DevOps/Jenkins, HashiCorp Vault, OCI Bastion/Cloud Guard, Security Zones.
- Containers & Orchestration: Docker, Kubernetes, admission controls, image signing, and runtime policies.
Preferred Qualifications
- OCI certifications
- Experience with monitoring tools and CI/CD pipelines
- High availability and disaster recovery experience
Soft Skills
- Strong troubleshooting skills
- Ability to work in production-critical environments
- Good communication and documentation skills
We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.
Ready to apply?
Apply to Mitratech