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!

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!

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

#LI-KG1 #LI-REMOTE

POSITION SUMMARY

Own Workday integrations end-to-end, driving reliable data flow and scalable system design. Elevate architecture standards while bridging technical and business stakeholders. Enable high-quality user experiences through automated testing, reporting, and AI-driven insights. The Workday Integrations & Data Specialist is responsible for designing, building, and maintaining integrations between Workday and internal or third-party systems. This role ensures accurate, secure, and timely data flow across HR, payroll, finance, IT, and benefits platforms while supporting reporting, automation, AI-enabled insights, and scalable system design.

This role partners closely with HRIS, IT, Finance, Payroll, Core HCM architects, and external vendors to ensure Workday functions as a reliable system of record within a cohesive technology ecosystem. This is a remote position that offers the opportunity to make a meaningful impact in a dynamic, fast-paced fintech environment. EarnIn offers excellent employee benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our headquarters in Mountain View. Our salary ranges are determined by role, level, and location. 

WHAT YOU'LL DO 

Workday Integrations & Data Management

• Design, build, test, and maintain Workday integrations using tools such as EIB, Core Connectors, Workday Studio, and APIs

• Manage integrations across payroll, benefits, identity management, finance systems, data warehouses, and other HR platforms

• Ensure data integrity through transformation logic, mapping, and bulk data operations

Monitoring, Reporting & Data Delivery

• Monitor integrations, troubleshoot failures, and resolve data discrepancies

• Develop and maintain reporting, data feeds, and pipelines to support HR, Finance, and business intelligence platforms

• Proactively identify issues using logs, reporting, and automated alerts

Architecture, Automation & AI

• Act as a bar raiser for integration and data architecture, promoting best practices in scalability, performance, cost efficiency, and user experience

• Drive architectural decisions that balance cost, performance, and end-user experience

• Identify and implement automation and AI-enabled solutions to improve data quality, anomaly detection, and operational efficiency

• Partner with engineering and data teams to support AI-ready data pipelines

Testing, Validation & User Experience

• Support cross-functional testing and validation efforts through automated reporting, data checks, and failure detection

• Partner with functional teams (e.g., Talent, Payroll, Benefits) to enable effective test plans and issue identification

• Contribute to a high-quality user experience by ensuring data accuracy and system reliability across workflows

Collaboration & Communication

• Partner with Core HCM architects and business process administrators across SKUs, including Talent and Advanced Compensation, to ensure cohesive, end-to-end system design

• Translate complex technical concepts into clear insights for non-technical audiences

• Collaborate across HR, IT, Finance, and vendors to align solutions with business needs

Security & Compliance

• Ensure integrations meet security, privacy, and compliance standards

• Manage secure data transfers and authentication methods across systems

WHAT WE'RE LOOKING FOR 

• 1+ years of experience with Workday integrations and tools such as Workday Studio, EIB, Core Connectors, Workday Web Services / APIs

• Experience integrating Workday with systems such as: ADP / global payroll vendors, Okta/identity management, Greenhouse/ATS, Benefits Providers (IE, Navia, Bswift, etc.), and Finance Systems (IE, Pigment, Netsuite, Zip, Navan, etc.) 

• Knowledge of data formats such as XML, JSON, CSV

• Experience with integration technologies such as REST / SOAP APIs, SFTP

• Knowledge of SQL 

• Data analysis skills

• Familiarity with AI/ML concepts or tools applied to data workflows (e.g., anomaly detection, automation, or data enrichment)

• Experience with data validation and troubleshooting

• Strong ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders

• Strong problem-solving ability, experience with uncovering root causes, and executing action plans rapidly and thoughtfully. 

• Experience with HR data governance is a plus

• Experience working with or supporting AI-enabled data platforms, pipelines, or analytics tools is a plus

• Exposure to tools like Python, dbt, or modern data platforms is a plus

• 2+ years of experience working with a Workday implementation partner (e.g,. Topbloc, Deloitte, Accenture) is a plus 

#LI-Remote

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Mexico City for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273399627

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects in the Scaled Growth organization are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives and Field Solutions Architecture team helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of enterprise organizations across the Americas.

This role can be based remotely in São Paulo or Mexico City.

As an ideal candidate, you will have:

• 5 to 8  years of related industry experience, ideally 2 years of experience in a customer facing role
• Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience implementing scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
• A Bachelor’s degree or equivalent work experience
• Requires professional proficiency in both written and verbal English communication

You may also have:

• Experience developing, deploying, or supporting applications with any of the major cloud providers 
• Experience working in a technical pre-sales capacity 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426174

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

We are looking for passionate technologists to join our Solution Consulting organization, to support our Customer Organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. 

In this role, you are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, consultants, software architects, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. 

You'll work closely with our Customer Success Managers and Relationship Account Managers to help customers solve business problems by leveraging our solutions. You'll become the trusted advisor to a wide range of customers from startups to the world's largest enterprise IT organizations.

This role will be based remotely in Mexico City or São Paulo. 

As an ideal candidate, you will have:

• 5+ years professional work experience within software development, consulting, Pre-Sales, or related fields.
• 2+ years of Pre-Sales experience with enterprise software 
• 2+ years of software development experience, with working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#)
• A mind for technology - we’ll teach you all about MongoDB and databases, but our customers and products are inherently technical and you should have an aptitude and curiosity to learn about those concepts
• Experience with or knowledge of scalable and highly available distributed systems 
• Excellent presentation and communication skills 
• The ability to be adaptive to an ever-changing environment, where you are constantly improving yourself, your team and (y)our processes
• High levels of organization in your workflows - you understand what it means to work with lots of customers and to prioritize and manage your time efficiently
• The ability to travel up to 25%
• A Bachelor’s degree in Computer Science, MIS or similar degree or equivalent work experience
• Requires professional proficiency in both written and verbal English communication

As an ideal candidate, you may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• A MongoDB Certification

What you do at MongoDB

• You confidently articulate the business value of MongoDB solutions
• You partner with our Customer Organization to help ensure success in accounts ranging from small startups to large enterprises 
• You align to support remote/onsite sales with activities such as technical discovery, demos, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
• You implement and maintain technology toolkits to drive compelling demonstrations and POCs
• You advise customers on architectures, patterns, and strategies for making the best use of MongoDB
• You assess and diagnose issue within a customer environment to provide recommendations about MongoDB best practices
• You translate technical concepts and patterns into business benefits
• You will have the opportunity to help drive demand through participation in both industry-known trade-shows as well as account-based marketing events
• You demonstrate resilience and sound judgment in dealing with business challenges
• You have an ability to drive customer demand within a sales territory, by being self-motivated, proactive and understanding the importance of a strong sense of urgency
• You have situational awareness and react appropriately in group settings

What you will learn

• The rapidly expanding MongoDB product suite, including:
• Core database server
• Atlas (fully managed cloud database service)
• Atlas Data Lake
• Atlas Full-Text Search
• Realm
• Charts
• Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
• Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
• Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security
• Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
• Exposure to a wide variety of market verticals and broad spectrum of interesting use cases

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273424762

Data Analyst SME — AI Workflow Training

Analysts everywhere are figuring out AI in real time — sometimes well, often messy. Study.com is building the training that gets working analysts up that curve, and we're looking for a practitioner-teacher to help shape it.

This is a remote contract role up to 20 hours per week. You'll work alongside our content team to design, structure, and produce training that helps real analysts (why: the word “real”) integrate AI into their day-to-day workflows. We want someone with a strong point of view and a track record of teaching others — not just a producer executing a spec.

What you'll do

• Partner with our content team to shape the curriculum —share expert judgment on what working analysts actually need to learn, and advise on the tools and features required to teach AI-assisted analysis effectively.
• Design step-by-step walkthroughs and record video demos that show AI tools applied to real analyst workflows
• Distinguish features (things AI lets you do that you couldn't before) from efficiencies (things AI lets you do faster) — and help us teach the difference
• Pressure-test course content for skills alignment: does this cover what a learner actually needs to complete the task? What's missing, mis-sequenced, or tangential?
• Record, edit, and deliver publish-ready instructional videos per our format and quality specs

Must-haves

• 5+ years of hands-on Data Analyst experience in industry (not purely academic), currently working in the field or with hands-on experience within the last 2 years
• Demonstrated experience teaching, mentoring, or training other analysts (bonus if this is on AI tooling or integration)
• Show us your work: a portfolio of instructional video — walkthroughs, recorded trainings, talks, internal demos, a YouTube channel, anything that proves you've made teaching content before
• Production self-sufficient: you own (or have access to) your preferred screen recording and editing tools — Camtasia, Loom, OBS, ScreenFlow, your call — and can deliver edited, publish-ready files without us providing software or hardware
• Teaching presence on mic or on camera: you pace narration so a learner can follow, don't bury the lesson in filler, and sound like an instructor who's done this before
• You can point to specific analyses where AI tools changed how you worked — and articulate where they helped vs. where they didn't
• Proficiency in SQL (intermediate to advanced), Python or R, and at least one BI tool (Tableau, Power BI, Looker, or equivalent)
• Strong written communication: clear, accurate, well-organized

Bonus

• Experience designing or delivering structured training programs (curriculum design, learning objectives, assessment)
• Exposure to 2+ industry verticals (finance, healthcare, marketing, ops, SaaS, etc.)
• Working knowledge of statistical concepts: distributions, hypothesis testing, regression, A/B testing
• Advanced Excel or Google Sheets
• Bachelor's preferred — quantitative or technical field (Statistics, CS, Economics, Math, or related) — or equivalent professional experience.

How to Apply

Along with your résumé, please send a 2–3 minute Loom (or similar) walking us through one analyst workflow where you used AI tools. Show us how you think, not just what you've shipped.

About the Team

The Sales Analytics team at DoorDash is responsible for getting the right information and insights out to drive our business goals. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it.

About the Role

You will be focused on partnering with our sales & strategy teams, who help solve pain points for small business (SMB) merchants on the Doordash platform through various methods such as new product adoption. You will lead analyses to guide our sales team with data-driven insights to unlock growth opportunities within their accounts. This cross-functional role will partner with sales, operations, product, and strategy teams.

You will report into a Senior Manager on our Sales Analytics team, which is part of our Sales Operations organization.

You’re excited about this opportunity because you will…

• Strategize – Devise and execute initiatives against the overall sales org strategy for “winning the merchant” while managing stakeholders across multiple lines of business
• Experiment – Use data-driven decision-making and sound business judgment to run sales tests and lead market intelligence efforts
• Optimize – Build the best merchant acquisition engine so DoorDash continues to offer the highest quality selection for its customers
• Analyze – Build models to evaluate the economics, value, and opportunity costs of strategic initiatives to improve sales performance
• Influence – Manage cross-functional projects with our sales, partner management, operations, product, engineering, business operations and BD teams to improve the merchant experience and achieve targets

We’re excited about you because…

• You have 2+ years of experience in Analytics, Consulting, or Strategy
• You have a bachelors degree or higher 
• You are highly technical with advanced SQL, basic Python/R, and data modeling experience.
• You are an excellent analytical thinker who can deliver actionable recommendations out of complex datasets; Salesforce experience strongly preferred
• You have a proven track record of leading cross-functional initiatives, hitting goals by tracking OKRs, and succeeding in a complex and fast moving environment
• You’ll want to dive into and participate in company wide training programs (WeDash, etc.) 
• You map complex operational workflows, diagnose data gaps, and architect AI-driven solutions end-to-end—from process discovery through prototype to production deployment. You build in AI tooling (e.g., Claude, ChatGPT, etc.) and ship real automation that eliminates manual work, closes visibility gaps, and accelerates decision-making across the business. You think in systems, not features. You treat every broken process as a build opportunity and every data gap as a use case waiting to be deployed. This is not an AI-curious role; this is an AI-native operating environment where you are expected to build, test, and iterate continuously.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.

This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.

Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.

Qualifications:

Minimum Required:

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance
• Professional working proficiency in English

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies:

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

#LI-AG2 #LI-REMOTE

We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.

This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.

Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.

Qualifications:

Minimum Required:

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance
• Professional working proficiency in English

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies:

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

#LI-AG2 #LI-REMOTE

Do work that matters.  

At AlertMedia, everything we do supports our mission: To save lives and minimize loss by identifying active threats globally and facilitating timely communications when an emergency threatens personal safety and business continuity.    

Our core values drive us in our important mission of keeping people safe & informed:   

• We’re humans not robots  
• Customers always come first  
• We work better together  
• Simplicity is our strength  
• Our reputation is priceless  
• Hard work pays off 

As one of the fastest growing software companies in the nation, we’re focused on finding the best talent and building the best team to continue accelerating our rapid growth to keep up with our demand. 

AlertMedia is looking for an experienced Database Engineer (Search Platform) with deep expertise in Elasticsearch at scale, relational databases (Postgres/MySQL), and modern search architectures including vector search, semantic search, hybrid search, and ranking strategies such as Reciprocal Rank Fusion (RRF).

This is a hands-on role focused on designing, operating, and evolving the data stores and search infrastructure that power AlertMedia’s real-time risk intelligence platform. You will play a critical role in how we index, query, rank, and retrieve signals across large-scale structured and unstructured datasets. We’re looking for someone who has built and operated production-grade search and database systems, understands distributed systems tradeoffs, and is comfortable owning complex data infrastructure end to end. We want you to shine by showing us real systems you’ve designed, clusters you’ve scaled, search architectures you’ve improved, and performance problems you’ve solved. We don’t do trick questions or whiteboard exercises.

Who you are:    

You are a pragmatic database engineer who thrives in a collaborative environment and enjoys working on systems that operate at scale in the real world.
You have significant experience designing, tuning, and operating Elasticsearch clusters in production, including large datasets, high ingest rates, and low-latency search requirements. You understand shard allocation, index lifecycle management, query optimization, cluster scaling, replication, and performance tuning. You also have strong experience with relational databases like Postgres or MySQL, including schema design, indexing strategies, query planning, and operational best practices.

You care deeply about:

• Building resilient, observable, and scalable data infrastructure
• Search relevance, performance, and correctness
• Data modeling and storage design
• Operational excellence and production reliability
• Clean, maintainable infrastructure and automation

You are comfortable working in Python and SQL, have experience with AWS infrastructure, and enjoy improving systems continuously.

What you get to every day:    

• Design, scale, and operate Elasticsearch clusters supporting large-scale ingest and low-latency query workloads
• Architect and optimize hybrid search systems, combining keyword search (BM25) with vector/semantic retrieval
• Implement and tune vector search, semantic search pipelines, and ranking strategies (e.g., RRF, rescoring, custom ranking logic)
• Improve indexing strategies, shard design, mappings, analyzers, and query performance
• Design and maintain relational database systems (Postgres/MySQL) supporting application and data workloads
• Partner with data engineering teams to ensure ingestion pipelines are optimized for search and database performance
• Monitor, troubleshoot, and optimize cluster health, capacity planning, scaling strategies, and cost efficiency
• Improve observability, alerting, backup/restore, disaster recovery, and operational best practices
• Contribute to architecture decisions around storage, indexing, retrieval, and relevance
• Operate in an Agile environment using tools like Git, JIRA, Jenkins, and Slack
• Help shape AlertMedia’s long-term data platform and search strategy
• Contribute to AlertMedia’s culture, values, and long-term technical vision

What you bring to the role: 

• Bachelor’s degree in Computer Science, Engineering, or related field (preferred)
• 3-4+ years of experience in database engineering, search engineering, or backend data platform roles
• Expert level hands-on experience with Elasticsearch at scale (cluster design, tuning, scaling, and operations)
• Experience designing and implementing vector search, semantic retrieval, hybrid search, and ranking strategies such as RRF
• Experience with AWS or other cloud platforms (required)
• Solid experience with relational databases such as Postgres or MySQL, including schema design and query optimization
• Strong understanding of search relevance concepts (BM25, analyzers, scoring, boosting, rescoring)
• Experience with high-throughput ingest systems and indexing pipelines
• Proficiency in Python and SQL 
• Strong organizational skills and ability to manage multiple pipelines and priorities
• Excellent written and verbal communication skills, with the ability to collaborate cross-functionally
• Ability and desire to work in a fast-paced, technically challenging environment
• English proficiency (written and oral) is required

Nice to Have

• Broader data engineering experience (data acquisition, ETL, streaming pipelines, Kafka/Kinesis/SQS)
• Experience with AI/ML pipelines, embeddings generation, or MLOps workflows
• Experience operating vector databases or ANN systems (FAISS, Milvus, OpenSearch vector, pgvector, etc.)
• Experience with large-scale data processing frameworks 
• Please note: AlertMedia does not sponsor applicants for work visas.

Why you’ll love working at AlertMedia:

• Competitive Base Salary
• Annual Company Bonus
• 100% Employer-Paid Medical, Dental, and Vision Coverage
• Parental Leave Program 
• Christmas Bonus (Aguinaldo)
• Generous Vacation and Holiday Policy
• Additional Vacation Bonus
• Monthly Work-from-Home Stipend
• All Necessary Equipment Provided: Laptop, monitor and accessories
• Recognition & Rewards: We celebrate wins big and small
• Language Immersion Program with employees spread out across the globe (English, Spanish, etc...depending on your interest)
• Continuous Learning & Growth: From mentorship and tech talks to personalized 1:1 career development sessions, we’re deeply committed to investing in your professional journey
• Award Winning Culture: We're proud to be recognized as a BEST WORKPLACE FOR 10 YEARS IN A ROW
• The Work & People: We’re passionate about the meaningful work we do—and even more grateful for the incredible people we get to do it with!

About AlertMedia:

AlertMedia helps organizations protect their people and businesses through all phases of an emergency. Our award-winning threat intelligence, emergency communication, and travel risk management solutions help companies of all sizes identify, respond to, and recover from critical events faster and more confidently. AlertMedia supports essential communication for thousands of leading businesses—including JetBlue, Coca-Cola Bottling, and Walmart—in more than 150 countries.

We are an equal opportunity employer focused on creating a collaborative and exciting place for all to work. Ensuring a diverse, inclusive, and equitable workplace for all people is key to our success and core to our values.   All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

This is an amazing opportunity to be part of our wave of momentum and take our company, and your career, to the next growth stage. We'd love to get to know you better and share how we serve our amazing customers. For more information, please visit www.alertmedia.com.   

Come join us in our mission to save lives and minimize loss through effective communication.  

By applying for the role, you agree that Alert Media will use your Personal Information in connection with the recruitment process and in accordance with our Privacy Policy – https://www.alertmedia.com/legal/privacy-policy/

About Goods & Services
  
Goods & Services is a product design and engineering company. 

We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services. Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. 

Headquartered in the United States, we operate regional development centers in Mexico and the United Kingdom. This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.

About the job

Goods & Services is looking for a IT Operations & Logistics Coordinator who thrives in fast-paced, service-oriented environments while managing both technical helpdesk responsibilities and cross-functional coordination tasks. The ideal candidate brings strong Windows and IT helpdesk expertise, exceptional organizational skills, and a genuine commitment to delivering outstanding customer service to internal and external stakeholders. Candidates must be located or willing to relocate to Merida, Yucatan, Mexico.

What you’ll do:

• Serve as a point of contact for IT service desk requests across the organization, ensuring timely resolution and clear communication throughout the lifecycle of each ticket
• Provide Tier 1 and Tier 2 support for Windows desktops, laptops, and peripherals including software installation, OS troubleshooting, and hardware diagnostics
• Administer and troubleshoot Microsoft 365 services including Exchange Online, Teams, SharePoint, and OneDrive
• Execute PowerShell scripts for routine administrative tasks such as user provisioning, license management, and system reporting
• Contribute to automation and process improvement initiatives using scripting (PowerShell, Bash, or Python a plus)
• Maintain accurate and up-to-date records of IT assets and configurations within the IT asset management system
• Document technical procedures, known issues, and resolution steps in the knowledge base to enable team self-service
• Coordinate end-to-end logistics for IT equipment including procurement, shipping, receiving, and inventory tracking across multiple locations
• Liaise with vendors, freight carriers, and customs brokers to facilitate timely and compliant delivery of hardware and technology assets
• Manage import/export documentation and ensure compliance with applicable customs and trade regulations for cross-border equipment shipments
• Track and reconcile asset inventory; conduct periodic audits and generate reports for management review
• Coordinate onboarding and offboarding logistics to ensure equipment is provisioned and recovered on schedule.
• Provide customer service and communication.

What you’ll need:

• 3+ years of experience in an IT Helpdesk or Service Desk environment with demonstrated progression in scope and responsibility.
• Excellent written and verbal communication skills in both English and Spanish.
• Exceptional customer service skills with a professional, patient, and solution-oriented communication style with demonstrated experience using ticketing systems such as ServiceNow, Jira, Zendesk.
• Experience with Mobile Device Management platforms (Rippling, Intune, Jamf, or equivalent).
• Experience with inventory management and coordinating logistics, shipping, or equipment inventory in a corporate environment.
• Knowledge of customs regulations and import/export documentation for electronics and technology hardware in Mexico (imports, Mexican NOMs, certifications).
• Solid hands-on expertise with Windows OS administration, troubleshooting, and endpoint management.
• Proven ability to manage competing priorities and maintain meticulous organizational systems.
• Ability to work independently in a nearshore/remote-adjacent model while staying closely aligned with a distributed team.

Nice to have:

• Working knowledge of Windows PowerShell for administrative scripting and automation.
• Experience with scripting languages beyond PowerShell (Python, Bash) for process automation.
• Familiarity with Jira Service Management for ticket routing, SLA management, and reporting.
• CompTIA A+, Network+, or Microsoft certifications (MD-102, MS-900, or similar).
• Prior experience in a company undergoing mergers, acquisitions, or multi-entity IT consolidation

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy dedicated to building digital and sustainable products and services that unlock value across the triple bottom line: people, planet, and profit. We do the right thing, and we do it right. We're proud to be a B Corp-certified company and a World Economic Forum New Champion.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, 650+ experts, 50+ nationalities)

• We are resilient and independent (0 debt, 100% privately owned)

• We are entrepreneurs and passionate experts who invest in what we believe in and work as a collective intelligence

• We are positive, courageous, caring, committed, and excellence-driven

About Gen-e2

While the market is still focused on AI-augmenting delivery, we’ve redefined the SDLC to be AI First. With our Gen-e2 framework:

• We now generate 95% of the product (code, documentation, infrastructure as code, and design) using GitHub Copilot.

• Output quality consistently exceeds that of our best traditional engineering teams.

• A centralized product repository gives AI full context of all product artifacts.

• Enterprise-grade standards and rules are embedded in prompts and code libraries.

• We deliver full products 2–3x faster, raising the bar for engineering excellence.

Your Role

As a Data Architect, you will take a leading role in designing, evolving, and optimizing data architecture for innovative, scalable, and secure solutions. You will collaborate closely with data engineers, analytics teams, business stakeholders, and IT leadership to deliver data strategies that power decision-making and digital transformation.

Key Responsibilities

Strategy & Architecture

• Define, evolve, and document the organization’s data architecture aligned with business and IT strategy.

• Design enterprise data models (conceptual, logical, and physical), establishing naming conventions and modeling standards.

• Assess and recommend data technologies (Data Lake, Lakehouse, Mesh, Warehouse) based on evolving business needs.

Governance, Privacy & Quality

• Define policies and standards for data governance, quality, privacy, cataloging, and lineage.

• Lead adoption of metadata management and data discovery tools across teams.

• Ensure compliance with internal and external data regulations and security requirements.

Data Integration & Design

• Architect data integration solutions (ETL/ELT, real-time and batch pipelines).

• Ensure interoperability across domains, sources, and consumers using principles such as Data Mesh.

• Define integration patterns and data federation frameworks to deliver a 360° data view.

Collaboration & Leadership

• Act as a technical reference in data architecture, guiding engineering, analytics, and business teams.

• Promote adoption of data models, standards, and best practices across the organization.

• Translate business needs into scalable data solutions and facilitate technical-business alignment.

Who You Are

Education

• Bachelor’s degree in Mechatronics Engineering, Applied Mathematics, Software Engineering, Computer Science, or related fields.

• Preferred certifications: Microsoft Certified, Azure Data Engineer Associate, or relevant cloud and data architecture certifications.

Required Experience

• 10+ years of experience in Data engineer

• 3+ years designing cloud-based data architectures (Azure, AWS, or GCP).

• 2+ years in data architecture, enterprise data modeling, or data governance.

• Led data model design (relational, multidimensional, non-relational) for Data Warehouse, Data Lake, or Lakehouse architectures.

• Participated in multi-source data integration projects (on-premise, cloud, external sources).

• In-depth knowledge of data governance frameworks including quality, cataloging, privacy, and compliance.

• Experience with modern architectures (Data Mesh, Lakehouse) and cataloging tools (Purview, Unity Catalog) is a plus.

Technical Expertise

• Data Modeling: Conceptual, logical, physical modeling; normalization; relational and non-relational design.

• Architectures: Data Warehouse, Data Lake, Lakehouse, Data Mesh.

• Governance: Data lineage, quality, privacy, RBAC, metadata management.

• Platforms: Azure Synapse, Azure Data Lake Gen2, Purview, Unity Catalog, Cosmos DB.

• Data Integration: Azure Data Factory, API Management, integration patterns, Azure Databricks.

• Infrastructure as Code (IaC): Terraform, Azure DevOps (preferred).

• Languages & Tools: SQL, Python (architectural level), JSON, Java, Scala.

• CI/CD: Git, Sonar, DevOps best practices.

Leadership & Soft Skills

• Systemic Thinking: Designs modular, scalable, and integrated architectures.

• Cross-functional Communication: Translates technical and business requirements clearly and effectively.

• Reuse Mindset: Focuses on creating shareable and scalable components.

• Technical Leadership: Influences technical direction and decision-making across teams.

• Complexity Management: Solves high-impact, large-scale technical challenges.

• Product & Platform Mindset: Designs with the data consumer experience in mind.

• Curiosity & Continuous Learning: Stays ahead of tech trends and promotes innovation.

More About PALO IT

We continuously adapt to change, learn from our experiences, and take action to meet the planet’s urgent needs. We are committed to:

• Becoming a climate net-zero company

• Delivering projects with positive impact

• Training 100% of our workforce on sustainability and impact

• Achieving B Corp certification across all our global offices

• Continuously measuring and improving employee happiness

We partner with some of the world’s most innovative organizations, from Fortune 1000 companies to high-impact SMEs and startups.

What We Offer

• Stimulating, collaborative work environments

• A personalized career path and growth opportunities

• International mobility and cultural exchange

• Internal R&D and innovation programs

• Learning & knowledge-sharing initiatives

• Training and certification support

• Entrepreneurship & intrapreneurship culture

🔍 Learn more about our team and perks:
👉 Visit our careers page
🎙️ Listen to the PALOCast – real stories from our Palowans

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Corporate Technology (CorpTech) Services team is a strategic support partner to all Stripes, in office and remote.  We ensure the successful operation of new hires, account off-boards and critical business systems with a global team. 

We’re looking for a Tier 1 Support Engineer to join the MXC CorpTech Services team to provide in-person, thoughtful and individualized support for all Stripes. Stripe is looking for individuals who can work in a fast paced environment and work autonomously to deliver team oriented results.

What you’ll do

You’ll be responsible for providing technical assistance and support related to computer systems, hardware, and software. Respond to queries, run diagnostic programs, isolate problems, and determine and implement solutions.  In-person support is required as well as setting up desks and managing/auditing peripherals.  

Responsibilities

• Provide technical assistance and support for incoming queries and issues related to computer systems, software, and hardware.
• Respond to queries either in person, email, Slack or ticketing system.
• Provide in-person IT HelpDesk assistance to Stripe employees, contingent workers, and vendors.
• Walk customers through problem-solving processes and follow up to ensure issues have been resolved.
• Run diagnostic programs to resolve problems as well as troubleshoot IT scripts, systems, or automation
• Support and maintain critical SaaS tools (Google Workspace, Slack, Zoom, JIRA, Confluence, etc.)
• Troubleshoot Stripe-provided hardware (macOS, Chrome OS, iOS, peripherals)
• Facilitate the provisioning of Stripe laptops for new hire on-boarding and fleet upgrades
• Assist with new hire onboarding and training curriculum
• Update, and maintain detailed external and internal IT documentation
• Onboard and support third-party vendors and/or contractors
• Contribute to shared global IT off-boarding tasks and responsibilities
• Maintain and provide technical assistance with all office technology (printers, Zoom Rooms, room schedulers, and more).
• Own IT asset management and ensure accurate and actionable records are kept of required equipment.
• Promote best practices as established by IT and escalate inquiries as necessary to the IT Systems and Infrastructure team.
• Create and update technology documentation for internal IT teams and for Scale employees.

Who you are

You have the ability to take initiative on tickets and contribute to project design and implementation. You are skilled at writing, updating and maintaining technical documentation and sending directed communications. You are comfortable working as an individual contributor on a global team that is driving towards a common goal. You will best succeed in this role by leading on things you are passionate about while supporting others in their passion. 

You love problem solving and collaborating with others to provide world class support. Being the best fit for this position means you are both humble and confident. You strive towards excellence but understand your limitations and don’t hesitate to ask for help when needed. 

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Possess 2+ years of experience in IT HelpDesk experience 
• Possess strong working knowledge of Apple systems and software 
• Possess strong working knowledge of Google Workspace, Slack, Zoom, JIRA, Confluence, or similar cloud providers
• Possess strong working knowledge of Atlassian systems (JIRA and Confluence)
• Possess understanding of script execution and troubleshooting (ex: Ruby, Bash, Python)
• Possess working knowledge of imaging/endpoint management tools (DEP, Munki, Chef, JAMF)
• Able to independently manage and prioritize workload and projects
• Possess outstanding interpersonal and communication skills
• Is empathetic, humble, and possess a strong focus on customer service

The Cloud Support Administrator (Odoo) serves as the primary administrator of our Odoo-based self-service portal and billing system while providing hands-on cloud support to customers. This role combines Odoo platform administration, direct customer engagement, and cloud resource troubleshooting to ensure customer satisfaction and minimize escalations to the backend engineering team. The ideal candidate has experience administering Odoo systems and a strong understanding of cloud environments to serve as the first point of resolution for incoming customer tickets.

Key Responsibilities

• Administer and maintain the Odoo-based self-service portal and billing system, including account configuration, subscription management, billing adjustments, and system performance monitoring.
• Manage Odoo workflows such as invoicing, subscription lifecycle, customer onboarding, and access provisioning; identify opportunities to automate repetitive tasks.
• Perform system updates and coordinate with development teams on module enhancements and customizations.
• Respond to and resolve customer support tickets related to cloud resources, billing, and portal access, minimizing escalations.
• Provision and troubleshoot cloud resources, including virtual machines, storage, and clusters; assist customers with configuration, connectivity, and performance issues.
• Document recurring issues and create structured support content for knowledge base publication.
• Gather customer feedback and usage trends to identify improvements in portal functionality, billing workflows, and cloud services.
• Collaborate with backend engineering on escalations, providing detailed diagnostics and reproduction steps.

Requirements

• Experience administering Odoo ERP, including billing, subscriptions, CRM, and customer portal modules.
• Ability to configure workflows, customize views, and manage user access within Odoo.
• Strong understanding of cloud computing concepts, including virtual machines, storage, and clustering, across platforms such as AWS, GCP, Azure, or similar.
• Strong troubleshooting skills with the ability to resolve technical issues independently.
• Excellent communication and customer support skills.
• Experience documenting technical issues and creating knowledge base content.
• Familiarity with ticketing systems and CRM tools for issue tracking and escalation management.
• Ability to collaborate effectively with cross-functional technical teams.
• Willingness to stay current with Odoo updates and cloud technologies.

Preferred

• Odoo certification or equivalent hands-on expertise in customization and administration.
• Experience provisioning and managing cloud infrastructure, including virtual machines, storage, or Kubernetes clusters.
• Experience writing customer-facing technical documentation.
• Familiarity with Linux administration, networking fundamentals, and command-line troubleshooting.
• Experience with Python or XML customization within the Odoo framework.
• Background in cloud hosting or managed services environments.
• Understanding of API integrations, webhooks, or payment gateway configurations within Odoo or similar platforms.

Annual Compensation Range: 

$65,000 - $85,000 CAD base + benefits + equity (If based in Canada)

$78,000 - $95,000 USD base + benefits + equity (If based in the United States)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies for Dash Chat and Search
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies for Dash Chat and Search
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Role Description

We are seeking a SaaS Engineer to manage, optimize, and maximize value from Dropbox’s SaaS ecosystem. The ideal candidate has hands-on experience administering collaboration platforms (Google Workspace, Slack, Zoom, Dropbox), strong scripting/automation skills, and a curiosity for exploring new features and AI capabilities. You will help ensure SaaS platforms are secure, scalable, and fully leveraged, enabling Dropboxers to get the most out of their tools.

Responsibilities

• Administer SaaS platforms: user management, security, permissions, workflows, integrations.
• Proactively evaluate new SaaS features and run pilots/adoption programs.
• Measure and report on adoption and usage trends across collaboration platforms.
• Identify opportunities to leverage AI, automation, and integrations for smarter collaboration.
• Troubleshoot and resolve SaaS-related incidents, documenting best practices.
• Deliver documentation, training, and communication to drive user enablement.

Requirements

• 5+ years experience administering enterprise SaaS platforms (i.e. Google Workspace, Slack, Zoom, Dropbox).
• Experience with automation/scripting (Python, Bash, PowerShell, AWS Lambda).
• Familiarity with SaaS APIs, integrations, and CI/CD pipelines.
• Strong analytical skills for usage data, adoption metrics, and feature impact.
• Excellent troubleshooting, problem-solving, and cross-functional communication skills.
• Ability to work independently and cross-functionally, with clear communication to both technical and non-technical stakeholders.
• Strong documentation skills, with experience maintaining knowledge bases, SOPs, and onboarding guides

Preferred Qualifications

• Certifications in Google Workspace or Slack administration.
• Experience with SaaS adoption programs and driving user engagement.
• Familiarity with AI/ML-powered SaaS features.
• Background in SaaS spend optimization and vendor management.

Role Description

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Role Description

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

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

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Role Description

Dropbox is looking for a Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. In this role you will build large, scalable analytics pipelines using modern data technologies. This is not a “maintain existing platform” or “make minor tweaks to current code base” kind of role. We are effectively building from the ground up and plan to leverage the most recent Big Data technologies. If you enjoy building new things without being constrained by technical debt, this is the job for you!

Responsibilities

• Define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

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 Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Preferred Qualifications

• 7+ years of SQL experience 
• 7+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with Airflow or other similar orchestration frameworks
• Experience building data quality monitoring using MonteCarlo or similar tools

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

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

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

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

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

Role Description

The Dash Experiences organization at Dropbox is responsible for shaping core user experiences across web, mobile, desktop, and emerging AI-powered surfaces. We’re looking for a Full Stack Software Engineer to join the Dash Experiences team and help build new, AI-first product experiences.

In this role, you will work on application design, development, and maintenance of AI-powered software applications within the Dropbox Dash product ecosystem. You’ll collaborate closely with cross-functional partners including product managers, data scientists, and ML engineers to build robust, scalable solutions that power user-facing experiences.

This is a 0→1 product environment, where you’ll contribute across the stack—from building frontend experiences in React to developing APIs and connecting backend systems. You’ll have the opportunity to learn, grow, and make meaningful product impact while working alongside experienced engineers in a highly collaborative setting.

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

• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Work closely with ML engineers to integrate AI components seamlessly into the overall software product architecture.
• Develop responsive and performant frontend applications using modern web technologies such as HTML, CSS, Typescript, and frameworks like React.
• Implement interactive user interfaces that effectively communicate complex AI functionalities and data insights to end-users.
• Work closely with UX/UI designers to ensure seamless integration of design elements, branding, and usability principles into the frontend development process.
• Collaborate with backend engineers to integrate frontend components with server-side logic and APIs, ensuring optimal performance and data flow.
• Optimize frontend performance to deliver fast and efficient user experiences, considering factors such as page load times, rendering speed, and responsiveness.
• Stay up to date with the latest trends and advancements in frontend development, UI/UX design, and AI technologies, bringing innovative ideas and best practices to the team.
• Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members, fostering a collaborative and growth-oriented culture.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including internships, co-ops, or equivalent project work.
• Experience building web applications using TypeScript and React.
• Ability to make data-driven decisions, using tools like Databricks.
• Familiarity with backend development concepts such as APIs and server-side logic.
• Ability to work across the stack and connect frontend applications to backend systems.
• Strong problem-solving skills and eagerness to learn.
• Clear communication skills and ability to collaborate with cross-functional partners.

Preferred Qualifications

• Experience with Python, Golang, or other backend languages.
• Familiarity with large-scale web platforms, microservice architecture and architecture patterns for large-scale code bases.
• Interest in AI-powered or data-driven product experiences.
• Comfortable working in early-stage or ambiguous product environments.
• Proactive mindset with curiosity about improving products and processes.

Compensation

Role Description

The Dash Experiences organization at Dropbox is responsible for shaping core user experiences across web, mobile, desktop, and emerging AI-powered surfaces. We’re looking for a Full Stack Software Engineer to join the Dash Experiences team and help build new, AI-first product experiences.

In this role, you will work on application design, development, and maintenance of AI-powered software applications within the Dropbox Dash product ecosystem. You’ll collaborate closely with cross-functional partners including product managers, data scientists, and ML engineers to build robust, scalable solutions that power user-facing experiences.

This is a 0→1 product environment, where you’ll contribute across the stack—from building frontend experiences in React to developing APIs and connecting backend systems. You’ll have the opportunity to learn, grow, and make meaningful product impact while working alongside experienced engineers in a highly collaborative setting.

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

• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Work closely with ML engineers to integrate AI components seamlessly into the overall software product architecture.
• Develop responsive and performant frontend applications using modern web technologies such as HTML, CSS, Typescript, and frameworks like React.
• Implement interactive user interfaces that effectively communicate complex AI functionalities and data insights to end-users.
• Work closely with UX/UI designers to ensure seamless integration of design elements, branding, and usability principles into the frontend development process.
• Collaborate with backend engineers to integrate frontend components with server-side logic and APIs, ensuring optimal performance and data flow.
• Optimize frontend performance to deliver fast and efficient user experiences, considering factors such as page load times, rendering speed, and responsiveness.
• Stay up to date with the latest trends and advancements in frontend development, UI/UX design, and AI technologies, bringing innovative ideas and best practices to the team.
• Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members, fostering a collaborative and growth-oriented culture.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including internships, co-ops, or equivalent project work.
• Experience building web applications using TypeScript and React.
• Ability to make data-driven decisions, using tools like Databricks.
• Familiarity with backend development concepts such as APIs and server-side logic.
• Ability to work across the stack and connect frontend applications to backend systems.
• Strong problem-solving skills and eagerness to learn.
• Clear communication skills and ability to collaborate with cross-functional partners.

Preferred Qualifications

• Experience with Python, Golang, or other backend languages.
• Familiarity with large-scale web platforms, microservice architecture and architecture patterns for large-scale code bases.
• Interest in AI-powered or data-driven product experiences.
• Comfortable working in early-stage or ambiguous product environments.
• Proactive mindset with curiosity about improving products and processes.

Role 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.

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.

Role Description

The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity.

The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.

A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact. Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.

Responsibilities

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives.
• Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.
• Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production.
• Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability
• Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.
• Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de risk decisions, or accelerate progress.
• Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making.
• Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact.
• Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.
• Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture.
• Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.
• Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.
• Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization.
• Advocate for intelligence driven solutions across the organization and influence company wide technical priorities.
• Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy.
• Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence.
• Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.
• Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs.
• Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership.
• Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs.
• Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries.
• Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned.
• For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy.
• Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.
• Drive execution on complex projects with significant ambiguity or high cost of failure.
• Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.
• Promote a bias toward action, thoughtful experimentation, and continuous learning.
• Model excellence in engineering craft, collaboration, accountability, and inclusive behavior.
• Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.
• Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

Requirements

• 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise scale AI adoption, automation, or data engineering.
• Proven track record of leading large scale, multi team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.
• Strong architectural judgment and systems thinking, with the ability to balance short term delivery with long term sustainability, scalability, and operational excellence.
• Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision making rather than formal authority.
• Experience mentoring engineers and raising the technical bar of an organization through design reviews, code reviews, and technical guidance.
• Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.

Role Description

The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity.

The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.

A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact. Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.

Responsibilities

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives.
• Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.
• Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production.
• Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability
• Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.
• Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de risk decisions, or accelerate progress.
• Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making.
• Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact.
• Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.
• Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture.
• Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.
• Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.
• Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization.
• Advocate for intelligence driven solutions across the organization and influence company wide technical priorities.
• Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy.
• Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence.
• Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.
• Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs.
• Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership.
• Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs.
• Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries.
• Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned.
• For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy.
• Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.
• Drive execution on complex projects with significant ambiguity or high cost of failure.
• Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.
• Promote a bias toward action, thoughtful experimentation, and continuous learning.
• Model excellence in engineering craft, collaboration, accountability, and inclusive behavior.
• Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.
• Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

Requirements

• 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise scale AI adoption, automation, or data engineering.
• Proven track record of leading large scale, multi team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.
• Strong architectural judgment and systems thinking, with the ability to balance short term delivery with long term sustainability, scalability, and operational excellence.
• Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision making rather than formal authority.
• Experience mentoring engineers and raising the technical bar of an organization through design reviews, code reviews, and technical guidance.
• Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.

Role Description

We are seeking a motivated Network Engineer to join Dropbox’s Network Engineering team. You’ll work alongside senior and mid level engineers to design, implement, and optimize enterprise network infrastructure across data centers, offices, wireless networks, and cloud environments.

This role provides hands-on opportunities to build expertise in network automation, performance optimization, cloud networking, and security. You’ll support ongoing projects while helping expand the team’s capabilities in automation, observability, and cloud infrastructure consolidation.

Responsibilities

• Monitor, troubleshoot, and optimize networks using Datadog, Kentik NetFlow, and synthetic testing.
• Support datacenter and studio office network deployments, upgrades, and retrofits.
• Assist in day-to-day CorpNet operations including stand-ups and vendor calls.
• Contribute to Aruba Cloud wireless migrations and ongoing management.
• Support AWS, GCP, Azure, and OCI networking initiatives including VPC design, routing, and security optimization.
• Assist with Zscaler ZIA/ZPA/ZDX/ZCC projects including DR testing and Business Continuity deployments.
• Develop, test, and maintain network automation scripts using Ansible and Python.
• Contribute to automation of datacenter office deployments to reduce manual effort and streamline provisioning.
• Work with Terraform and CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD, etc.) to enable repeatable deployments.
• Maintain and improve NetBox, Oxidized, ACL management, and IPAM systems.
• Document network architectures, procedures, and operational guides.
• Contribute to knowledge sharing by writing technical runbooks and training materials.
• Support network segmentation and traffic inspection projects to enhance security posture.
• Assist in secrets and certificate management across enterprise platforms.
• Participate in performance optimization initiatives to improve end-user experience.

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

• Hands-on experience with Cisco and Juniper platforms.
• Familiarity with network automation using Ansible, Python, and Terraform.
• Understanding of cloud networking concepts (AWS, GCP, Azure, OCI).
• Experience with enterprise networking technologies: DNS, DHCP, VPNs, and Wi-Fi.
• Knowledge of monitoring platforms: Datadog, Kentik, NetBox, IPAM.
• Basic familiarity with CI/CD tools (GitHub Actions, Jenkins, ArgoCD).
• Strong interest in zero trust security (Zscaler) and performance optimization.

Preferred Qualifications

• Exposure to Aruba wireless (on-prem and cloud).
• Experience with Zscaler tools (ZIA, ZPA, ZDX, ZCC).
• Knowledge of Vault or other secrets management platforms.
• Familiarity with containers and Kubernetes networking.
• Strong written skills for technical documentation and runbooks.

Intégrate a la Tribu!

Somos los coding wizards, un equipo de expertos en tecnología apasionados por lo que hacemos.

Creemos en la diversidad y la inclusión, y nos esforzamos por cultivar un ambiente de trabajo positivo y colaborativo.

Nos apasiona la innovación y siempre estamos buscando nuevas maneras de mejorar nuestras habilidades y conocimientos. Trabajar en Mobiik significa estar desafiado y aprender constantemente, mientras se desarrolla un equilibrio saludable entre trabajo y vida personal.

Administrador Kubernetes (GCP/Huawei)

Objetivo del puesto

Desarrollar, implementar, administrar y optimizar infraestructuras de contenedores basadas en Kubernetes, garantizando que las aplicaciones distribuidas operen de forma eficiente, segura, escalable y altamente disponible, mediante el diseño de clústeres robustos, automatización de despliegues y uso óptimo de recursos para minimizar tiempos de inactividad.

Responsabilidades clave

• Configurar, administrar y actualizar clústeres de Kubernetes y sus componentes.
• Implementar seguridad a nivel de clúster (RBAC, gestión de secretos, políticas de red).
• Automatizar la provisión y configuración de infraestructura mediante Infraestructura como Código (IaC).
• Optimizar el rendimiento y uso de recursos del clúster, monitoreando métricas clave.
• Administrar almacenamiento persistente (PV, PVC) y redes de contenedores (Ingress, LoadBalancer).
• Colaborar con equipos de Desarrollo, DevOps, Seguridad, Finanzas y Soporte para asegurar escalabilidad, resiliencia, control de costos y resolución de incidentes.
• Integrar Kubernetes con pipelines CI/CD para despliegues automáticos y confiables.
• Participar en estrategias de alta disponibilidad y recuperación ante desastres (DR).
• Asegurar cumplimiento con políticas de seguridad, gobernanza y regulaciones (ISO, ITIL).

Alcance delimitado del rol (No responsabilidad)
El puesto no es responsable de:

• Configuración de firewalls, IDS u otros controles de seguridad perimetral (equipo de seguridad).
• Desarrollo o mantenimiento de código de aplicaciones (equipo de desarrollo).
• Administración de infraestructura tradicional (servidores físicos, redes on‑prem).
• Soporte directo a usuarios finales o errores funcionales de aplicaciones.
• Administración de bases de datos externas.

Conocimientos técnicos requeridos

• Contenedores y orquestación: Kubernetes (nivel avanzado).
• Cloud: GCP y Huawei Cloud (administración avanzada).
• Sistemas operativos: Linux / Unix / AIX.
• Automatización y scripting: Shell, WLST (Python para WebLogic).
• Middleware: WebLogic & SOA (monitoreo y manejo de logs).
• Seguridad y gestión:
• ISO 20000
• ISO 27001
• ITIL v3.

Ofrecemos:

• Sueldo competitivo

• Seguro de Gastos Médicos Mayores

• Vales de despensa

• 5 días económicos adicionales + día libre por tu cumpleaños

• Cursos y plan de carrera

• Cultura de colaboración, inclusión y crecimiento profesional

Trabajo presencial: CDMX Zona Sur San Angel.

En Mobiik, valoramos su tiempo y nos esforzamos por añadir valor a cada interacción. Si estás interesado en unirte a nuestro equipo de coding wizards, no dudes en ponerte en contacto con nosotros.

¡Estamos deseando conocerte y trabajar juntos para crear algo grande!

•  

  • Mobiik es una empresa de soluciones digitales y tecnológicas que desarrolla soluciones eficientes para sus clientes. 💡 Creemos en transformar organizaciones a través de la tecnología, la innovación y el pensamiento creativo. 💻🚀 Los equipos remotos de Mobiik trabajan sin límites, barreras ni fronteras para ayudar a sus clientes a alcanzar sus objetivos. 🌐 La empresa busca construir equipos de profesionales que piensen fuera de la caja y entreguen resultados. 🏆

     

    Descripción del Rol

     

     🤖 El Ingeniero de IA será responsable de desarrollar e implementar modelos, algoritmos y sistemas de inteligencia artificial. 💡 Trabajarán con otros miembros del equipo para identificar los requisitos de datos para proyectos de IA y diseñar técnicas para adquisición, limpieza y preprocesamiento de datos. 📊 También probará y validará los modelos de IA e integrará en aplicaciones de software. 🛠️

    Calificaciones

    • Habilidades en Ciencias de la Computación
    • Experiencia en el desarrollo de redes neuronales y algoritmos de reconocimiento de patrones
    • Experiencia Modelos de lenguaje a gran escala (LLM), Modelos Multimodales (LMM), ML y DP.
    • Habilidades en desarrollo de software y competencia en lenguajes de programación como Python, Java o C++
    • Fuertes habilidades analíticas y de resolución de problemas
    • Excelentes habilidades de comunicación y trabajo en equipo
    • Un título en Ciencias de la Computación, Inteligencia Artificial o un campo relacionado
    • Experiencia en el desarrollo de sistemas de IA para industrias como la salud, finanzas o transporte es una ventaja
    • Experiencia con plataformas de computación en la nube y tecnologías de big data es una ventaja (Azure) 📈💻

   

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.

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.

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

About Sezzle:

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

About the Role: 

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

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

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

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

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

Compensation:

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

What You'll Do:

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

What We look for: 

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

Preferred Knowledge and Skills:

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

About You: 

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

Sezzle’s Technology Stack:

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

What Makes Working at Sezzle Awesome? 

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

#Li-remote #full-time

At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.  

Our core corporate functions (Finance, Supply Chain) are critical to Lyft’s success.  The health and sustainability of our applications, systems, tooling and processes are critical for daily operations and for Lyft’s ability to grow.  This Technical Business Systems Engineering role is responsible for supporting and sustaining Lyft's corporate systems through integration management, performance monitoring, incident response, automated workflows, and robust alerting. We are seeking an experienced Oracle Fusion ERP Technical Engineer with 4 - 5 years of hands-on expertise who can operate at the intersection of Technology, and Business Operations - developing, and optimizing the Oracle Fusion Cloud technical solutions that drive Lyft's financial ecosystem. The ideal candidate is proactive, detail-oriented, analytical, and service-focused, with the technical depth and business acumen to effectively partner with stakeholders across the organization.

Your Key Responsibilities:

• Develop robust and scalable solutions using Oracle Fusion technical tools including OTBI, BI Publisher, FBDI, REST/SOAP APIs, and Oracle Integration Cloud (OIC).
• Possess extensive experience in the technical components, configurations, and underlying processes of core Oracle Fusion Financial & Supply Chain modules.
• Build and maintain integrations between Oracle Fusion Financials and boundary applications such as tax engines, billing platforms, banking systems, and payment gateways.
• Develop custom reports, dashboards, and analytics using OTBI, BICC, BI Publisher, and Oracle Fusion Data Intelligence (FDI) to meet finance and operations reporting needs.
• Extensive experience in writing and optimizing SQL and PL/SQL scripts for data extraction, transformation, and validation.
• Experienced in partnering closely with Functional Finance teams to provide hands-on technical support during time-sensitive month-end and period-close activities, ensuring timely resolution of issues, data accuracy, and seamless execution of close processes.
• Exposure to Oracle AI Agent Studio with hands-on experience developing intelligent automations and AI-driven workflows.
• Build and maintain bank transmissions and other out-of-box Oracle transmission formats, working directly with banking partners to ensure seamless integration.
• Apply thorough knowledge of Host-to-Host (H2H) connections, including key exchange concepts, security protocols, and related connectivity standards.
• Manage Oracle Fusion Cloud environments across Development, Test, UAT, and Production, including refreshes, patch releases, quarterly updates, and version upgrades.
• Experience in supporting SOX compliance by gathering, preparing, and providing accurate and timely evidence for SOX controls, audits, and internal control assessments.
• Monitor infrastructure and application performance to enhance system resilience and business continuity.
• Proficient in creating Technical Design Documents (TDDs) and configuration workbooks, with hands-on experience supporting end-to-end testing cycles to ensure solution quality and alignment with business requirements.
• Work with Oracle Support by raising and managing Service Requests (SRs), driving issues through to effective and timely resolution.
• Collaborate with cross-functional teams to gather requirements and deliver efficient, scalable, and robust technical solutions.
• Demonstrate a proactive willingness to identify process improvement opportunities, and propose innovative technical solutions that bring measurable value to teams and enhance existing workflows
• Maintain thorough, up-to-date documentation of system configurations, integrations, workflows, and business requirements.
• Proficient in applying both Agile and Waterfall project methodologies across development, testing, and release activities, with the ability to adapt to the delivery model best suited to the project requirements.

Skills & Attributes:

• 4 - 5 years of work experience in IT systems with deep technical knowledge of Oracle Fusion Cloud Financial & Supply Chain modules.
• Enthusiastic about learning new technologies and staying current with emerging tools
• Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment in complex and ambiguous situations. 
• Collaborative team player who thrives in cross-functional environments, fosters a culture of knowledge sharing, and contributes positively to team dynamics and collective success.
• Self-motivated and driven professional with a strong sense of ownership, proactively identifying opportunities for improvement and seeing them through to completion with minimal supervision.
• Good understanding of the software development lifecycle (SDLC) with solid familiarity across development, support, and release management activities.
• Experience transforming data and automating processes using scripting languages such as Python, with a focus on reducing manual effort and improving operational efficiency.

Please submit your resume in English.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing, and we are looking for Engineers  with a passion in Security to help us scale. Come be part of the Security team at Lyft focused on enabling and empowering engineering teams to deliver secure services at scale.

Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust.

The security team designs and builds Lyft's security architecture, consults with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. Our work affects the entire company and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, and autonomous vehicles. We try to approach security from an engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at https://eng.lyft.com/tagged/security to learn about things we’ve built.

The Cloud Security team’s mission is to improve Lyft’s maturity and protect our employees, partners, and intellectual property by architecting and executing on a comprehensive  security model relative to our cloud infrastructure. 

We are seeking a Software Engineer to join our Cloud Security team! As a Senior Software Engineer, you’ll help us define milestones and deliver on high impact objectives. This role will perform security reviews, implement detections, remediate findings, implement and enforce least privilege, separation of development environments, secure design, operation, and configuration of our multi-cloud and container environments.

Responsibilities:

• Establish and execute a roadmap for secure cloud architecture 
• Write readable, efficient, and maintainable code
• Promote appropriate tech and engineering best practices
• Implement  security protocols to secure Cloud infrastructure and Kubernetes at scale
• Drive large projects from inception to implementation
• Unblock, support and communicate with internal partners to achieve results
• Partner with teams across Lyft on organizational security initiatives
• Design and implement cloud security solutions for monitoring, vulnerability remediation, and attack surface analysis and risk reduction
• Collaborate with engineering organizations to build inherently cloud architecture solutions
• Able to exercise sound judgment and thrive in ambiguous situations 

Experience:

• 7+ years of relevant cyber security experience
• Experience with modern programing languages (e.g., Python, Java, Go) and distributed systems
• Experience  with one or more major cloud service providers like Amazon Web Services (AWS), Google Cloud(GCP), Oracle Cloud, etc
• Experience with cloud service architecture, cloud security concepts, and best practices
• Experience with Kubernetes and container security
• Familiarity with securing and hardening Linux hosts
• Able to write clear, scalable and clear design documentation

Please submit your resume in English.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Technical Program Managers to help us scale. Come be part of a new team at Lyft focused on enabling and empowering engineering teams to deliver at scale.

Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust.

The security team designs and builds Lyft's security architecture, consult with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. Our work affects the entire company and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, and autonomous vehicles. We try to approach security from a software engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at https://eng.lyft.com/tagged/security to learn more about some of the things we’ve built.

We’re looking for the right person to join our team to perform service and application security review, and move us along our maturity journey. In order to be scalable, each secure product quality gate must be automated and integrated into our software release pipeline. Our grand vision is a fully automated series of quality controls that constantly validate that our code is secure. In short, we’re building a robot army that constantly validates our current security status. Don’t you want to live in this beautiful world?

Responsibilities:

• Architect and build services that improve the security of our systems with an eye towards scalability and avoiding unnecessary friction
• Partner with IT and infrastructure teams to design, build, and maintain performant authentication and authorization systems that balance security with user experience
• Own the security posture of identity infrastructure, including SSO implementations, MFA strategies, access provisioning workflows, and identity lifecycle management
• Share knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices
• Collaborate with teams across Lyft to ensure security best practices are leveraged as we roll out new features and expand our service offerings
• Conduct penetration testing, code review and breach readiness across our online and mobile infrastructure
• Proactively research new attack vectors that may affect Lyft
• Research and implement automated code security quality gates
• Build and maintain relationships with key partners both internally and externally

Experience:

• 5+ years of software engineering experience with a high level programming language (bonus points for experience with Python, Go-lang and shell scripts)
• 3+ years of experience with computer security (or a deep interest in)
• Identity and Access Management (IAM) security experience with platforms such as Okta, Duo Security, Microsoft Entra ID (Azure AD), or similar identity providers
• Experience securing identity protocols and standards (OAuth 2.0, OIDC, SAML, SCIM, JWT)
• When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution
• You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities
• You understand that security work must be prioritized because all teams have finite resources. You have good judgment and a sense of when to compromise and when to hold your ground
• Self-motivated with ability to work independently with minimal supervision
• Threat modeling, code review, penetration testing against cloud environments and/or mobile (IOS/Android)
• Conduct code review against one or many of the following languages
• Python
• Go
• Java
• Swift / Objective C
• Development skills to automate code security assessments
• Computer networking concepts and protocols, application and network security methodologies
• Network security architecture concepts including topology, protocols, components, and principles (e.g., application of defense-in-depth)
• Present findings, recommendations and results to leadership
• Ability to communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means
• Ability to manage multiple tasks and priorities
• Ability to work independently with minimal supervision

Please submit your resume in English.

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Data Engineer Manager who will:

• Collaborate closely with a team of data engineers, developers, and UX designers to create and optimize data pipelines and workflows supporting media performance reporting.
• Manage the design, build, and maintenance phases of client reporting projects.
• Work with Business Intelligence/Data Operations to define and document comprehensive reporting and visualization requirements.
• Ensure high data quality and provide ongoing support and maintenance for existing data workspaces.
• Deploy new client teams to cloud data solutions, offering guidance and support throughout the onboarding process.
• Define clear QA guidelines and automate current QA processes to enhance efficiency.
• With the support of the Associate Director, develop innovative tools, processes, and best practices to achieve workflow efficiencies and drive value for both client teams and clients.
• Act as the subject matter expert for all questions and projects related to data quality, BI tools, and business rules, ensuring that best practices are consistently followed across all initiatives.
• Facilitate effective communication and ensure task progression through regular status meetings and working sessions; proactively identify and resolve project roadblocks and issues.
• Efficiently track and manage a high volume of tasks across multiple stakeholders and projects.
• Build positive and collaborative relationships with internal teams, effectively communicating roles, responsibilities, and expectations.

Skills and Experience

If this opportunity looks right for you, we are looking for candidates who have:

Education & Experience:

• Bachelor's or advanced degree in Statistics, Economics, Business, Mathematics, Computer Science, or a related scientific field is preferred.
• Minimum of 4-6 years of experience in data governance processes within a data warehousing, ETL, and business intelligence environment.
• Experience with the full development life cycle of an application or reporting solution – from design through testing and deployment.
• Experience in a media environment (digital investment, analytics, or ad operations) is preferred; an understanding of the media landscape is beneficial.
• Experience and understanding of processes across multiple media channels (digital, search, social, offline, etc.) and handling diverse datasets (paid media, owned, etc.).

Technical Skills:

• Advanced knowledge of databases and data warehouses is crucial, including SQL (most important), MySQL, PostgreSQL, Redshift, Snowflake, etc.
• Advanced knowledge of one or more programming languages is essential, with Python being highly valued.
• Strong knowledge of cloud platforms such as Microsoft Azure, GCP, or AWS (familiarity with any major cloud provider is key).
• Knowledge of data engineering platforms such as Databricks.
• Familiarity with project/product management tools like Jira, Confluence, Smartsheets, Azure DevOps/VSTS.
• Familiarity with business intelligence tools such as Tableau, PowerBI, etc.
• Experience with advertising campaign management/buying platforms (e.g., Sizmek, GCM, Flashtalking, Moat, DV, IAS, Mediaocean, Media Tools, Nielsen, ComScore, Facebook, Twitter, Pinterest, Snapchat, 4C, Brand Networks, YouTube, Google Ads, Bing, Kenshoo, SA360, DV360, Google Analytics, Adobe Analytics) is highly beneficial.

Soft Skills:

• Demonstrates strong attention to detail.
• Excellent verbal and written communication skills.
• Exceptional organizational skills, multi-tasking capabilities, and detail-oriented approach.
• Ability to foster collaborative relationships with other cross-functional teams.
• Ability to manage and prioritize competing projects and deliverables effectively.
• Proactive in elevating and resolving project roadblocks and issues.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day, and more. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

This position is available in a Remote or Hybrid Work Modality. The candidate must perform their work from any location within Mexico. Only Mexican nationals residing in the country or foreign nationals with a valid work permit may apply. Remote work from abroad is not permitted under any circumstances.

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy ) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

Do work that matters.  

At AlertMedia, everything we do supports our mission: To save lives and minimize loss by identifying active threats globally and facilitating timely communications when an emergency threatens personal safety and business continuity.    

Our core values drive us in our important mission of keeping people safe & informed:   

• We’re humans not robots  
• Customers always come first  
• We work better together  
• Simplicity is our strength  
• Our reputation is priceless  
• Hard work pays off 

As one of the fastest growing software companies in the nation, we’re focused on finding the best talent and building the best team to continue accelerating our rapid growth to keep up with our demand. 

AlertMedia is looking for an experienced Data Engineer with a strong background in social media web scraping, data ingestion, and large-scale data pipelines. This role is a hands-on opportunity to lead the design, maintenance, optimization, and expansion of pipelines that ingest data from open-source data sources and social media platforms at scale. 

You’ll play a critical role in how AlertMedia discovers, processes, and delivers real-time signals to customers. We’re looking for someone with demonstrated experience in production-grade scraping and data engineering, who is comfortable owning complex systems end to end and improving them over time. 

We want you to shine by showing us real work you’re proud of - systems you’ve built, pipelines you’ve scaled, and hard problems you’ve solved. We don’t do trick questions or whiteboard exercises. 

Who you are:    

You are a pragmatic data engineer who thrives in a collaborative environment and enjoys working on systems that operate at scale in the real world. You have significant experience building and maintaining web scraping and data ingestion pipelines, and you understand the challenges of reliability, data quality, rate limits, schema drift, and adversarial environments. 

You care deeply about: 

• Building resilient, observable, and scalable data systems 
• Writing clean, maintainable code 
• Data correctness and pipeline reliability 
• Collaborating across engineering, product, and intelligence teams 

You are comfortable working primarily in Python, have experience with cloud infrastructure (AWS), and are eager to continuously improve both systems and processes. 

What you get to every day:    

• Lead and own social media web scraping and data ingestion pipelines sourcing data from open-source datasets and social media platforms 
• Design, build, and maintain scalable ETL and data processing pipelines (batch and/or streaming) 
• Optimize existing scraping infrastructure for performance, reliability, and cost 
• Handle challenges such as anti-bot protections, rate limiting, schema changes, and data quality issues 
• Build and maintain ingestion pipelines that feed downstream systems such as Elasticsearch and other data stores 
• Collaborate closely with product, intelligence, and platform teams to ensure data meets customer and business needs 
• Operate in an Agile environment using tools like Git, JIRA, Jenkins, and Slack 
• Contribute ideas and improvements that advance AlertMedia’s technical leadership in data-driven threat and risk intelligence 
• Help shape best practices around monitoring, alerting, testing, and documentation for data pipelines 
• Contribute to AlertMedia’s culture, values, and long-term technical vision 

What you bring to the role: 

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (preferred) 
• 3-4+ years of demonstrated experience in data engineering or backend engineering roles 
• Hands-on experience with social media web scraping in production, including large-scale or high-reliability systems 
• Strong proficiency in Python for data ingestion, scraping, and pipeline development 
• Experience with AWS or other cloud platforms (required)
• Solid understanding of databases and data storage systems (Postgres, Redis, or similar)
• Experience building and operating ETL pipelines, including data validation and transformation 
• Experience with stream processing and/or event-driven architectures (Kafka, Kinesis, SQS, etc.) is a strong plus 
• Experience working with Elasticsearch or similar search/data indexing systems (nice to have)
• Strong organizational skills and ability to manage multiple pipelines and priorities 
• Excellent written and verbal communication skills, with the ability to collaborate cross-functionally 
• Ability and desire to work in a fast-paced, technically challenging environment 
• English proficiency (written and oral) is required 

Why you’ll love working at AlertMedia:

• Competitive Base Salary
• Annual Company Bonus
• 100% Employer-Paid Medical, Dental, and Vision Coverage
• Parental Leave Program 
• Christmas Bonus (Aguinaldo)
• Generous Vacation and Holiday Policy
• Additional Vacation Bonus
• Monthly Work-from-Home Stipend
• All Necessary Equipment Provided: Laptop, monitor and accessories
• Recognition & Rewards: We celebrate wins big and small
• Language Immersion Program with employees spread out across the globe (English, Spanish, etc...depending on your interest)
• Continuous Learning & Growth: From mentorship and tech talks to personalized 1:1 career development sessions, we’re deeply committed to investing in your professional journey
• Award Winning Culture: We're proud to be recognized as a BEST WORKPLACE FOR 10 YEARS IN A ROW
• The Work & People: We’re passionate about the meaningful work we do—and even more grateful for the incredible people we get to do it with!

About AlertMedia:

AlertMedia helps organizations protect their people and businesses through all phases of an emergency. Our award-winning threat intelligence, emergency communication, and travel risk management solutions help companies of all sizes identify, respond to, and recover from critical events faster and more confidently. AlertMedia supports essential communication for thousands of leading businesses—including JetBlue, Coca-Cola Bottling, and Walmart—in more than 150 countries.

We are an equal opportunity employer focused on creating a collaborative and exciting place for all to work. Ensuring a diverse, inclusive, and equitable workplace for all people is key to our success and core to our values.   All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

This is an amazing opportunity to be part of our wave of momentum and take our company, and your career, to the next growth stage. We'd love to get to know you better and share how we serve our amazing customers. For more information, please visit www.alertmedia.com.   

Come join us in our mission to save lives and minimize loss through effective communication.  

Please note: AlertMedia does not sponsor applicants for work visas.

By applying for the role, you agree that Alert Media will use your Personal Information in connection with the recruitment process and in accordance with our Privacy Policy – https://www.alertmedia.com/legal/privacy-policy/

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page https://international.nubank.com.br/careers/

About the Role

As part of Nu Mexico's AML Ops team, you'll be on the front line of protecting our financial ecosystem — detecting suspicious activity, stopping money laundering, and ensuring our operations stay fully compliant with Mexican regulations. This isn't just a compliance role: it's a direct contribution to building a fairer, more ethical financial system for millions of people.

You'll work with our transaction monitoring system to investigate AML alerts, evaluate customer risk profiles, and report findings to the relevant authorities — including the UIF, CNBV, and SHCP. Your work directly shapes the integrity of Nu Mexico and contributes to the country's fight against financial crime.

You'll bring precision, resilience, and a proactive mindset to a fast-moving regulatory environment. You understand that bureaucracy and process discipline are part of the job — and you know how to balance rigorous compliance with a commitment to the best possible customer experience.

If you believe that financial institutions can and should be a force for good in society, this role is for you.

You'll be responsible for

• Investigate AML alerts, financial transactions, and account data generated by our transaction monitoring system — analyzing patterns, identifying suspicious situations, and delivering clear, documented recommendations (Report to UIF, Cancel, escalate, etc.).
• Prepare and escalate complete investigation files to the AML Forum (Comité de Comunicación y Control), ensuring all cases are thoroughly supported and ready for decision-making.
• Report money-laundering and terrorism financing activity to relevant authorities (SHCP, CNBV, UIF) with precision and timeliness, including submission of suspicious activity reports (SAR/ROI).
• Conduct thorough customer risk assessments — evaluating risk profiles and applying enhanced due diligence (EDD) and customer due diligence (CDD) processes accordingly.
• Drive quality reviews across the AML Ops team — evaluate process deficiencies, assess control measures, identify gaps, and recommend corrective actions to meet regulatory requirements.
• Apply FIU typologies, support binding list discard operations, and provide guidance on sanctions screening and KYC processes.
• Partner with legal, compliance, and risk management teams to minimize money-laundering exposure and strengthen Nu's overall financial crime prevention framework.
• Contribute to the implementation of the regulatory framework supporting Nu Mexico's growth plan, staying current with AML/FT laws, industry standards, and emerging regulatory changes.

We are looking for a person who has

Required

• Experience in AML compliance, financial crime investigation, or regulatory operations in a financial institution.
• Solid analytical skills — able to turn complex transactional data into actionable, well-documented recommendations.
• Proven experience with regulatory reporting, including suspicious activity reports (SAR/ROI) to Mexican financial authorities.
• Ability to work autonomously, manage competing deadlines, and stay composed in a constantly evolving regulatory environment.
• Clear and effective communication skills in Spanish and/or English, both written and verbal.
• Strong integrity and discretion when handling sensitive customer and financial information.

Nice to have

• CNBV certification, or in-depth knowledge of Mexican AML regulations (SHCP, CNBV, UIF), including freezing, unfreezing, and fund transfer rules.
• Experience monitoring transactional AML alerts across banking products (Credit Card, Savings, Remittances, Investments) and/or in compliance roles related to AML.
• Familiarity with Banking & Sofipo regulations and KYC/sanctions screening processes related to AML.
• Bachelor's degree in Law, Administration, Finance, Economic Sciences, or a related field.
• Proficiency with Excel, Google Sheets, Looker, SQL, or Python for data analysis and reporting.

Location for this opportunity

Mexico City, Mexico. 100% On-Site · 5 days/week

Our Benefits

• Chance of earning equity at Nu
• Extended maternity and paternity leaves
• Health and life insurance
• Dental and Vision Insurance
• NuCare - Our mental health and wellness assistance program
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• Holiday Bonus ("Aguinaldo") of 30 days of pay per year
• 17 days of paid vacation with 25% vacation bonus
• Gym partnership
• Food card
• Work-from-home Allowance
• Parental Consultancy
• Relocation Assistance Package, if applicable

Work Model for this Role

This role is based full-time at one of our offices in Mexico City as a regulatory requirement.

If you're looking for a place to grow your career in a high-performance, mission-driven environment - surrounded by exceptional people and close to the decisions that shape the future of finance in Latin America - this is where that happens.

Explore how we build technology at Nubank

🔗 building.nubank.com.br ↗

🎥 youtube.com/@building.nubank ↗

🎧 Listen to our stories on Spotify ↗

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Context: 

We are looking for a Business Intelligence and Data Visualization specialist who will build assist in the development and maintenance of the reporting infrastructure to help stakeholders gain insights in their advertising campaigns. In this role, he/she will be responsible for retrieving, compiling, and transforming data to create the intelligence layer leading to analysis and optimization of media investments.

Core Responsibilities:

• Manage the QA of data between media platforms and reporting outputs using tools such as Alteryx, SQL, and/or Excel
• Manage and identify data gaps that require manual entry, escalate to investment teams, and collect, QA, and process returned manual data. This includes initiating the data collection process, communicating any data QA issues, and working with teams to resolve those issues.
• Monitor data feeds for gaps or failures and action where necessary to resolve failures
• Build and maintain automated data QA workflows using Alteryx
• Update Tableau dashboards based on new/additional requests
• Build and maintain taxonomy generators and enforcers (via Excel, Google Sheets, and Alteryx) to assist in the adherence of taxonomy across all media channels.
• Setup and maintain automated data feeds/pipelines through API (Adverity), FTP, and/or scheduled email report)
• Troubleshoot any data discrepancies or issues that might occur,
• Fulfill ad hoc data pulls required for client deliverables,
• Manage the QA of data provisioning to MMM vendors or for client data warehouses.

Required Skills / Experience:

• Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics or related field with 1 – 3 years of work experience in data management, data visualization and data analytics preferably in a marketing and/or media agency.
• Experience with building dashboards in Tableau is required; knowledge of visual techniques for data analysis and presentation is a plus,
• Experience with Alteryx for business logic design required
• Experience working in Cloud environment (Azure, GCP),
• Experience working with SQL required, experience with Python a plus,
• Experience working with digital data from ad serving platforms (e.g., Google Campaign Manager, Other ad servers), campaign planning tools (e.g. Prisma, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin, …) and others is strongly preferred,
• Strong speaking and written professional communication skills,
• Strong analytical, critical thinking, and problem-solving skills,
• The ability to thrive in a fast-paced and deadline-driven environment,
• Strategic Thinker & Doer,
• Curious and excited to learn,
• High sense of accountability and ownership,
• Collaborative with a partnership mindset.

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time
• Fluent in written and spoken Spanish and English

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Complexity in consumer systems is growing exponentially, creating new challenges in sensing, data processing, and system intelligence. Leveraging advanced sensor and signal processing technologies, we are addressing these challenges with innovative approaches. We are looking for an energetic Senior Firmware Engineer who can bridge these technologies with novel software solutions, algorithms, and machine learning primitives.

Required skills:

• Ability to work on communication stacks, in-depth domain knowledge on Bluetooth Classic, Bluetooth LE, Bluetooth Audio, Multipoint, Auracast, Controller stack protocols, BLE profiles/Services.
• Ability to work on system level architecture; ability to create and maintain system level solutions comprised of state-of-the-art hardware and software components and provide documentation for our products.                                   
• Development experience with functions and protocols such as TWS Role switch, fast pairing, voice assistants, Conformance and Teams certifications.
• Ability to understand complex customer application ecosystems and integrate our product offerings.
• Prior experience in developing and debugging all aspects of system software. This includes understanding overall system performance from both a hardware and software perspective.

Qualifications:

• BS or MS in Electrical or Computer Engineering or related field
• 5+ years of Industrial experience in firmware development
• Strong C/C++ and Python programming skills
• Strong knowledge of digital signal processing (DSP) and algorithm development experience
• Experience with communication stacks including Bluetooth classic, BLE USB, SDIO WiFi, Bluetooth & WiFi interoperability.
• Strong knowledge of Tensilica HiFi, Kalimba DSP cores and Bluetooth Audio Frameworks
• Hands on experience with integrating, building, and testing of multi-threaded applications.
• Experience with embedded real-time operating systems
• Experience with SCM tools (GIT, SVN, Clearcase, Perforce, etc.)
• Strong analytical and problem-solving abilities
• Experience with defect tracking tools (Jira, Bugzilla, etc.)
• Strong working knowledge of a software development process (e.g., Agile, Waterfall)
• Application of Object-Oriented concepts and methodologies
• Strong system level knowledge in audio, video and TWS domains

What we offer: 

• Dynamic and supporting international teams.
• Regular assessments and performance reviews. You will have the opportunity for promotion, bonuses and a raise in accordance with the pace at which you develop and your performance. 
• Remote, hybrid or office work.
• 20-25 vacation days per year.
• Equipment for work, laptop and all necessary additions.
• Access to training and courses.
• Private health insurance.
• FIT Pass card for many sports facilities. 

The Mission

We are seeking an exceptional Software Engineer to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in application design and is passionate about working with our customers, partners, and colleagues to drive innovation forward. Your mission will be to work alongside Caylent’s Engineers, Architects, Sales, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignment

● Collaborate with Architects and Engineering Managers to deliver high-quality technical solutions.
● Understand client requirements to build solutions defined in project backlogs.
● Participate in Agile ceremonies such as daily standups, sprint planning, retrospectives, and demos.
● Write production ready, well-tested, and documented code across cloud environments.
● Contribute to building infrastructure, data pipelines, or application components depending on project needs.
● Troubleshoot and resolve technical issues in development, staging, etc.
● Participate in code reviews and knowledge sharing within your team.
● Demonstrate Caylent’s values by staying curious, being an exceptional partner, and continuously learning.

Your Qualifications

Core Consulting Qualifications

Customer Experience
●Committed to delivering exceptional client experiences, professionally responding to customer inquiries, clearly communicating project status, and providing valuable
solutions aligned to client needs.

Collaboration
● Demonstrates strong collaboration with internal teams, proactively aligning on priorities, responding to clients, and addressing client feedback.

Communication
● Effectively communicates technical information clearly and actively listens to clients and team members to confirm understanding and prevent miscommunication.

Technical Qualifications

● Deep expertise with AWS cloud services.
● Strong experience writing, reviewing, and deploying code using modern languages (Node.js, Go, React, Angular, TypeScript, Python, etc.).
● Technical background in application development and modern architecture.
● Experience managing customer engagements and contributing to project delivery.
● Desire to integrate innovative technologies into development workflow
● Familiarity with Generative AI technologies
● Proficient in building and maintaining CI/CD pipelines and cloud automation.
● Experience working in client-facing roles within consulting or professional services.

Preferred Qualifications

• Experience working in a client-facing environment
• Experience working in consulting or professional services 
• Experience with testing and automation
• Experience with UI/UX
• Experience building and maintaining CI/CD pipelines
• Bachelor's or Master's degree in Information Technology or related field

Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

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

Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team

• We are looking for a Lead Analytics Engineer to join our data team.
• Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.
• You will provide clean and organized data sets to end users.
• You will be provide expert code reviews and mentorship to other engineers in the data space
• You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.
• You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
• You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

Why you'll love this role:Data Modeling and Transformation

• Build new analyses and support existing ones using SQL and Python.
• Apply software engineering principles like version control and continuous integration to the analytics codebase.
• Expand our data warehouse with clean data ready for analysis.

Data Quality and Testing

• Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
• Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.

Collaboration and Communication

• Work with stakeholders to define business logic and data expectations.
• Help drive a change in the usage of data by actively surfacing insights to stakeholders.
• Lead initiatives and problem definition, scoping, design, and planning.

Infrastructure and Automation

• Build tools and automation to run data infrastructure.
• Manage large-scale data migrations in relational datastores.

Why you're a great fit:

• 8+ Years experience working with data in a software environment. 
• Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices.
• You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
• Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

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