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!

Director of Software Development

Position Summary

The Director of Software Development leads multi-disciplinary engineering organizations responsible for delivering, testing, and supporting enterprise software products. This role owns execution, quality, and operational outcomes across development, test, and PMO teams, while embedding AI and metrics-driven decision-making into daily engineering practice.

Local architects and development, test, and PMO managers report to this role.

Key Responsibilities

• Own end-to-end software delivery through managers, aligning execution to business objectives, customer outcomes, and operational reliability.
• Establish and enforce modern SDLC practices across development, testing, and support.
• Drive AI-first engineering execution, embedding AI into development, testing, release, and support workflows as a standard operating model.
• Lead and coach engineering managers and architects, building a culture of accountability, continuous improvement, and measurable outcomes.
• Operate a metrics-driven engineering organization using delivery, quality, and reliability signals to guide decisions.
• Oversee testing and support organizations to ensure high product quality, rapid incident resolution, and strong customer satisfaction.
• Identify delivery, quality, and operational risks and implement mitigation strategies informed by data and analytics.
• Communicate progress, risks, and outcomes clearly to senior leadership.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• Proven experience leading software development organizations through multiple layers of management.
• Strong background in metrics-driven engineering, including DORA metrics and SRE-informed operating models.
• Experience applying SRE principles such as SLIs, SLOs, error budgets, observability, and incident management.
• Demonstrated hands-on leadership integrating AI into software development, testing, and support workflows.
• Excellent leadership, communication, and organizational skills.
• Experience with Agile and modern software delivery practices.

Preferred Experience

• Hands-on familiarity with modern programming languages, CI/CD, and cloud-native architectures.
• Experience with AI-assisted SDLC platforms, AIOps, and engineering analytics.
• Track record of improving delivery speed, quality, reliability, and customer outcomes using data and automation.

Working Conditions

Full-time role in a collaborative environment. Occasional travel may be required.

EO: Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

About the Role

Verkada is seeking a Global Solutions Engineer with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance and Access Control. This individual will partner directly with their territory account executives to expand the Verkada footprint upmarket into Fortune 500 companies in LATAM.  Responsibilities include directly interfacing with customers/partners throughout the sales process, overcoming technical objections, assisting customers in designing deployments with Verkada Products and providing technical assistance to territory account reps. The ideal candidate will be highly motivated, able to learn quickly and work independently while making impactful results for the company remotely. 

What You'll Do

• Be the subject matter authority on the full Verkada suite of products and offerings and articulate the value added benefits to customers throughout the sales process.
• Act as a trusted advisor for Verkada Customers and overcome objections while securing the technical win for Verkada.
• Effectively present the Verkada solution to all levels of customer, from C-level executives to loss prevention managers and directors of IT.
• Work directly with your Account Managers to develop territory strategy for Verkada.
• Design Verkada solutions that range from: Network Security recommendations/bandwidth requirements, choosing proper Verkada products for Physical Security and deployment. Cloud Security RFP's/Documents, LTE deployments.
• Stay up to date on the security and IoT industry by attending and presenting at strategic conferences and providing thought leadership within the market
• Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings.
• Write White Papers and Knowledge Base articles about Verkada Products, features, and integrations.
• This role requires regular travel, estimated to be more than 50% of the time, including both domestic and international destinations as needed. The successful candidate must be comfortable with frequent travel to support business operations, customer and partner engagements and team collaboration. 

What You Bring

• Entrepreneurial and positive attitude with a strong desire to learn.
• 5+ years of experience as a Sales Engineer, with a proven track record of working with Fortune 500 companies.
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Information and Computer Technology, Networking, IT Security from an accredited university.
• Strong background in Networking: Experience with HTTPS/SSL, VLANs, TCP/IP, DNS, NAT devices, DHCP servers, Firewalls and software systems.
• Outstanding written & verbal English communication skills in order to clearly and efficiently articulate technical matters with customers and partners.
• Able to work and adapt to an ever evolving workplace and company.
• Genuine excitement for software/hardware products, Cloud Security and IoT devices and can speak to how they work.
• Industry certifications are a plus: AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+, Microsoft
• Experience working with Linux systems are a plus.
• Bonus points if you have previous startup experience.

Mexico Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs 
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

Technical Support Engineer

This role focuses on helping customers succeed with Smartly’s platform by resolving complex technical issues and improving overall product experience. You will work closely with Product and Engineering to investigate problems, support new feature rollouts, and ensure customers can rely on Smartly in their day-to-day operations. Your work directly impacts customer satisfaction and product quality.

What You Will Do

• Provide timely, high-quality technical support to customers using the Smartly platform
• Troubleshoot and resolve complex technical issues, including bugs and performance concerns
• Act as a liaison between customers, Product, and Engineering to ensure clear communication and effective resolution
• Reproduce, analyze, and document bugs, ensuring accurate prioritization and escalation
• Manage critical customer escalations with urgency and clear communication
• Develop expertise in marketing APIs (Meta, Google, TikTok, Snapchat, Pinterest) and Smartly’s platform
• Contribute to product improvements by sharing customer feedback and recurring issues
• Support product launches (Alpha/Beta) and help validate new features
• Mentor team members and contribute to internal documentation and knowledge sharing

What We Are Looking For

• Strong experience in technical support within a customer-facing environment, ideally in SaaS
• Proven troubleshooting and problem-solving skills, including root cause analysis
• Hands-on experience with SQL and JSON
• Familiarity with REST APIs, HTTP fundamentals, and web application architecture
• Ability to replicate, document, and escalate technical issues clearly and effectively
• Strong written and spoken communication skills in English
• Comfortable working independently and navigating ambiguous situations
• Availability to work Americas hours

What We Offer You

At Smartly, we offer a place where you can advance your career. Here, you'll find:

An Inclusive Global Culture: Join a team of over 750 Smartlies, representing more than 60 nationalities across 24 locations in 13 countries. We cultivate a culture built on trust, transparency, and open feedback, where diverse perspectives are valued and encouraged.

Global Impact: Contribute to a company making a global impact, directly influencing our customers' success and business growth.

Focus on Wellbeing: We prioritize your health with healthcare packages, mental health services, and a commitment to work-life balance through paid holidays and family leave.

Comprehensive Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and career development opportunities.

Flexible Hybrid Workplace: Experience a hybrid work model, balancing office collaboration with remote work, and the option to work abroad for up to 30 days annually.

Smartly is committed to being a great place for growth-minded individuals to thrive. Explore more in our Culture Handbook!

Apply Now and Build Your Future with Smartly!

Curious what it’s like to work at Smartly? Visit our Careers page to see how we grow, collaborate, and make impact together

#LI-HYBRID

What are we looking for?

We are seeking a highly skilled and experienced Senior DevOps/Cloud Engineer/SRE with 7+ years of experience to become an integral part of our dynamic DevOps platform team. In this role, you will be instrumental in supporting cutting-edge AI SaaS and PaaS solutions.

Please note: This position may require participation in an on-call support rotation in the future.

Requirements

Technical Skills:

• Education: A Bachelor's degree in Computer Science or a related field, or equivalent education and experience equating to the US equivalent of a bachelor’s degree.
• SDLC & CI/CD: 5+ years of experience with Software Development Lifecycle (SDLC) methodologies and CI/CD technologies, including hands-on expertise with at least two different CI/CD ecosystems. Optional: We also value experience with MLOps practices and their integration into CI/CD pipelines.
• Software Engineering: 3+ years of experience as a Software Engineer, with a preference for backend development experience. Nice to have: Experience with Temporal workflows.
• Networking & Operating Systems: Strong knowledge of networking principles and robust experience with Operating System concepts, backed by 5+ years of hands-on Linux administration.
• Cloud Platforms: 5+ years of in-depth experience with AWS (highly preferred) and/or GCP. Highly desired to have certifications in AWS or GCP.
• Infrastructure as Code (IaC): 5+ years of experience with IaC tools, primarily Terraform.
• Kubernetes: 5+ years of experience managing Kubernetes clusters, including practical experience with at least one cloud-managed service (e.g., EKS, GKE, AKS).
• Database Management: Strong experience with PostgreSQL.
• Troubleshooting: Proven ability to effectively troubleshoot issues across code, cloud infrastructure, networks, and operating systems.
• AI-Specific Technologies (Preferred): Given our focus on AI solutions, experience with MLOps, Nvidia NIM and relevant Nvidia certifications would be a significant asset.

Observability: 5+ years of experience working with observability tools, and defining

Essential Non-Technical Skills:

• Requirements Elicitation: Ability to effectively gather and understand project requirements.
• Collaboration & Resilience: A highly collaborative team player with a resilient and proactive mindset.
• Organizational & Communication Skills: Self-organized with the ability to structure discussions effectively, ensuring focus and clarity.
• Documentation: Meticulous and thorough in creating clear, comprehensive documentation.
• Problem Solving: Adept at breaking down complex problems into manageable sub-tasks and defining actionable next steps.
• Language: English proficiency is mandatory.

#LI-Remote

#LI-DC1

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

The Role:

We are seeking a Senior Backend Engineer to maintain and enhance backend services built on TypeScript and Fastify. You will be responsible for ensuring API reliability, optimizing data layers, and collaborating closely with the frontend and DevOps teams.

Key Responsibilities:

• Design, build, and maintain backend services using TypeScript and Fastify
• Develop and optimize APIs consumed by web and mobile clients
• Manage and tune Elasticsearch for personalization and caching use cases
• Work with Redis / Valkey for key-value caching and session management
• Collaborate with DevOps to ensure services are properly containerized and deployed on GCP (Kubernetes / Cloud Run)
• Write API specifications, comprehensive tests and maintain high code quality standards
• Mentor junior backend engineers and contribute to architectural decisions

Required Skills:

• 6+ years of professional backend development experience
• Strong proficiency with TypeScript and Node.js in production environments
• Hands-on experience with Fastify or similar Node.js frameworks (Express, Hapi)
• Working knowledge of Redis or Valkey for caching and data store use cases
• Familiarity with containerized deployments on GCP, AWS or Azure.

Nice to Have:

• Experience with Sanity or other headless CMS backends
• Familiarity with event-driven architectures, SSE or message queues
• Experience with infrastructure-as-code tools (Terraform, Pulumi)
• Experience with Elasticsearch for search, personalization, or analytics

Employment Type:

#LI-KG1 #LI-REMOTE

Your Role:

Join our Technical Support Team at Tenable where you’ll play a pivotal role in bridging the gap between our products and customers. Solve real-world technical challenges by offering exceptional support for cutting-edge vulnerability assessment and compliance auditing software. Your expertise will shine in complex, multi-layered customer environments. Our suite of products, detailed at https://www.tenable.com/products, offers a diverse range of opportunities. From assisting customers with their first Nessus scanner to guiding them through intricate log correlation and real-time vulnerability analysis, you'll contribute to mitigating cyber risks and closing the Cyber Exposure gap. Join us in delivering top-notch support that makes a difference!

Your Opportunity: 

• Work closely and build relationships with the rest of the Tenable team, including Sales, Customer Advocacy, Research & Development, and Operations
• Troubleshoot, analyze and address customer technical inquiries and  ensure timely problem resolution
• Use remote troubleshooting techniques to troubleshoot and correct issues
• Analyzing vulnerability scan results, system audits, and log events
• Help customers understand vulnerability scan results, system audits, and/or log events and provide clear, concise, and actionable information to quickly resolve issues
• Recreate customer software issues in a lab environment for engineering assessment
• Ensure customer feedback is properly captured and channeled into Product Management and Research & Development
• Maintain in-depth knowledge of Tenable products and information security best-practices
• Create and publish solution knowledge for re-use by customers and Tenable employees
• Continually review personal performance metrics to ensure goals are consistently met
• May perform other duties and responsibilities that management may deem necessary from time to time
• Opportunities for career advancement within Technical Support as well as other organizations within Tenable

What You'll Need:

• Fluency and ability to explain technical concepts in English and Spanish
• Must be located in Mexico
• Bachelor’s degree in a technical field or equivalent experience
• 2+ years professional experience with networking (TCP/IP), Linux/Unix, macOS, Windows administration, patch deployment, and system configuration
• Experience providing technical support to enterprise clients, troubleshooting complex issues in production or customer environments; network security experience a plus
• Demonstrated interest in AI and Large Language Models (LLMs), with hands-on experience professionally or personally. Willingness to adopt and help evolve AI-driven tools designed to accelerate case resolution and elevate the customer experience.
• Knowledge of computer, network, and application security; familiarity with Nessus or similar tools is a bonus
• Strong analytical and problem-solving skills, with the ability to learn quickly
• Excellent written and verbal communication; customer-focused mindset
• Ability to manage multiple priorities in a fast-paced environment to help meet business and client needs
• Flexibility to work occasional weekends or holidays
• Ability to work hours supporting the US Eastern/LATAM time zones

And Ideally:

• Using Nessus and/or other vulnerability management or cybersecurity tools, either professionally or in an academic setting
• Experience with ticketing systems (JIRA, Salesforce, Zendesk etc.)
• Log analysis using a SEIM product (Splunk, ElasticSearch, etc.)
• Database technologies and SQL knowledge (Oracle, MySQL, MSSQL, etc.)
• Virtualization technology (VMWare, Hyper-V, Amazon AWS, Microsoft Azure, Docker, etc.)
• Fundamental understanding of programming languages
• Experience in Industry Security Standards (DISA, HIPAA, CIS, ISO 27001, etc.)
• Experience with or understanding of Certificates and CA’s
• Basic understanding of reviewing PCAPs with tools such as Wireshark

#LI-Remote

#LI-MM1

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’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/

The Role:

We are seeking a Senior DevOps / Platform Engineer to manage and maintain cloud infrastructure on GCP. You will ensure platform reliability, optimize CI/CD pipelines, and support the engineering team with infrastructure needs across Kubernetes and Cloud Run environments.

Key Responsibilities:

• Manage and maintain GCP infrastructure, including Kubernetes clusters and Cloud Run services
• Build and optimize CI/CD pipelines for automated testing, builds, and deployments
• Monitor platform health, set up alerting, and respond to infrastructure incidents
• Manage Elasticsearch, Redis / Valkey, and other data infrastructure components
• Implement infrastructure-as-code practices for reproducible environments
• Collaborate with development teams to ensure smooth deployment workflows
• Maintain security best practices across cloud infrastructure and access controls

Required Skills:

• 6+ years of professional DevOps, SRE, or platform engineering experience
• Strong proficiency with GCP services, particularly GKE (Kubernetes) and Cloud Run
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes)
• Experience building and maintaining CI/CD pipelines (GitHub Actions, Cloud Build, or similar)
• Working knowledge of Elasticsearch cluster management and Redis / Valkey operations
• Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or similar)
• Strong understanding of networking, security, and monitoring in cloud environments

Nice to Have:

• Experience with observability tools (Datadog, Prometheus, Grafana)
• Familiarity with Node.js / TypeScript application deployment patterns
• Experience with cost optimization strategies on GCP

Employment Type:

About the Role

In 2026, Orium is investing in AI and automation to improve how SG&A functions operate across the organization.

Our goal is to build agentic systems that support real human decision-making — including a unified entry point and two-way workflows that allow agents, humans, and systems to interact reliably. We’re approaching this work intentionally, with strong foundations around trust, escalation, and human judgment.

We’ve completed early experimentation through pilots and demos, and we’re now looking for someone to help turn that learning into durable, production-ready capabilities.

This is a contract role focused on hands-on execution with strong technical ownership. As a Senior AI Systems Engineer you’ll work hands-on to design and build the technical foundations of these systems, partnering closely with internal stakeholders to translate evolving needs into reliable, scalable agentic workflows. The focus of this engagement is to accelerate the build-out of core agentic capabilities and to establish strong technical foundations over a defined period.

Role Details:

• Type: Contract (Part-Time)
• Duration: ~16 weeks
• Expected Commitment: ~20 hours per week
• Potential for extension or future engagement based on outcomes

Key Responsibilities

Agentic System Development

• Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions.
• Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems.
• Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures.
• Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience.

Systemization & Reliability

• Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production.
• Help evolve early implementations into more robust, maintainable, and production-ready systems.
• Help establish and document patterns for reliability, observability, and safe failure in agentic workflows.
• Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles.

AI & Automation Craft

• Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability.
• Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures.
• Contribute to and document shared standards and patterns for AI-augmented systems at Orium.
• Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

Skills & Experience

• Experience building, integrating, or supporting AI / LLM-powered systems, with an emphasis on reliability, validation, and safe failure.
• Proven experience taking systems from prototype to production, including defining architecture, managing trade-offs, and ensuring reliability at scale.
• Strong experience building backend systems, workflows, or integrations, including APIs, event-driven systems, and automation frameworks.
• Comfortable working with orchestration tools and workflow engines (e.g., Zapier + code, n8n, Temporal, Airflow, or similar), including extending platforms with custom logic where needed.
• Experience designing or contributing to system architecture, particularly in integration-heavy or distributed systems.
• Strong proficiency in JavaScript/Typescript, including building and deploying backend services, integrations, or extensions to support workflow and automation systems.
• Comfortable taking ownership in ambiguous problem spaces, helping define the path forward rather than waiting for fully defined requirements.
• Strong collaborator who enjoys building in partnership with product, domain, and systems owners.

Is the Role a Fit for You?

You’ll be a strong fit for this role if you:

• Think with a product mindset, not a ticket mindset. You take the time to understand stakeholder needs and real-world workflows before building solutions.
• Are comfortable working in ambiguity. You can take rough ideas or early prototypes and shape them into clear, working systems.
• Think in systems. You naturally connect tools, people, and processes into cohesive, scalable workflows.
• Take ownership and drive outcomes. You define the path forward and see things through to production, not just implementation.
• Balance speed with sound judgment. You move quickly while being thoughtful about reliability, failure modes, and human impact, especially when working with AI systems.

Compensation and Hiring Transparency 

• Expected Compensation (Mexico): Compensation will be offered in MXN, aligned with local market benchmarks and the employment model. Final compensation will consider experience, skills, location, internal equity, and business needs.
• Use of AI in Hiring: To keep the process efficient and focused on human connection, we use AI-enabled and automated tools for tasks like candidate communications and scheduling, interview note-taking, and summarizing feedback for hiring teams. Our recruiters and hiring managers review all information, and humans make every hiring decision.
• Vacancy Status: This posting is for an existing vacancy we are actively hiring for.

Committed to an Inclusive Workplace

We are committed to fostering an inclusive and accessible workplace. We provide reasonable accommodations throughout the hiring process in accordance with applicable local laws. If you require accommodations, we will work with you to meet your needs.

Committed to Social and Environmental Stewardship

Orium is committed to promoting and working towards a more socially and environmentally sustainable future. All employees are expected to make decisions and take actions in relation to their role and work that follow through on this commitment.

#LI-Remote

About the Role

In 2026, Orium is investing in AI and automation to improve how SG&A functions operate across the organization.

Our goal is to build agentic systems that support real human decision-making — including a unified entry point and two-way workflows that allow agents, humans, and systems to interact reliably. We’re approaching this work intentionally, with strong foundations around trust, escalation, and human judgment.

We’ve completed early experimentation through pilots and demos, and we’re now looking for someone to help turn that learning into durable, production-ready capabilities.

This is a contract role focused on hands-on execution with strong technical ownership. As a Senior AI Systems Engineer you’ll work hands-on to design and build the technical foundations of these systems, partnering closely with internal stakeholders to translate evolving needs into reliable, scalable agentic workflows. The focus of this engagement is to accelerate the build-out of core agentic capabilities and to establish strong technical foundations over a defined period.

Role Details:

• Type: Contract (Part-Time)
• Duration: ~16 weeks
• Expected Commitment: ~20 hours per week
• Potential for extension or future engagement based on outcomes

Key Responsibilities

Agentic System Development

• Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions.
• Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems.
• Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures.
• Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience.

Systemization & Reliability

• Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production.
• Help evolve early implementations into more robust, maintainable, and production-ready systems.
• Help establish and document patterns for reliability, observability, and safe failure in agentic workflows.
• Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles.

AI & Automation Craft

• Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability.
• Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures.
• Contribute to and document shared standards and patterns for AI-augmented systems at Orium.
• Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

Skills & Experience

• Experience building, integrating, or supporting AI / LLM-powered systems, with an emphasis on reliability, validation, and safe failure.
• Proven experience taking systems from prototype to production, including defining architecture, managing trade-offs, and ensuring reliability at scale.
• Strong experience building backend systems, workflows, or integrations, including APIs, event-driven systems, and automation frameworks.
• Comfortable working with orchestration tools and workflow engines (e.g., Zapier + code, n8n, Temporal, Airflow, or similar), including extending platforms with custom logic where needed.
• Experience designing or contributing to system architecture, particularly in integration-heavy or distributed systems.
• Strong proficiency in JavaScript/Typescript, including building and deploying backend services, integrations, or extensions to support workflow and automation systems.
• Comfortable taking ownership in ambiguous problem spaces, helping define the path forward rather than waiting for fully defined requirements.
• Strong collaborator who enjoys building in partnership with product, domain, and systems owners.

Is the Role a Fit for You?

You’ll be a strong fit for this role if you:

• Think with a product mindset, not a ticket mindset. You take the time to understand stakeholder needs and real-world workflows before building solutions.
• Are comfortable working in ambiguity. You can take rough ideas or early prototypes and shape them into clear, working systems.
• Think in systems. You naturally connect tools, people, and processes into cohesive, scalable workflows.
• Take ownership and drive outcomes. You define the path forward and see things through to production, not just implementation.
• Balance speed with sound judgment. You move quickly while being thoughtful about reliability, failure modes, and human impact, especially when working with AI systems.

Compensation and Hiring Transparency 

• Compensation: Contract rates are determined based on experience, engagement scope, duration, and time commitment. Rate discussions will take place during initial conversations.
• Use of AI in Hiring: To keep the process efficient and focused on human connection, we use AI-enabled and automated tools for tasks like candidate communications and scheduling, interview note-taking, and summarizing feedback for hiring teams. Our recruiters and hiring managers review all information, and humans make every hiring decision.

Committed to an Inclusive Workplace

We are committed to fostering an inclusive and accessible environment as we build a workforce that reflects the diversity of the community in which we live, including those with disabilities. We are dedicated to providing accommodations in all parts of the hiring process in accordance with the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. If you require any accommodation, we will work with you to meet your needs.

Committed to Social and Environmental Stewardship

Orium is committed to promoting and working towards a more socially and environmentally sustainable future. All individuals engaged by Orium are expected to make decisions and take actions in relation to their role and work that follow through on this commitment.

#LI-Remote

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

The Role:

We are looking for a Senior .NET Engineer for maintaining, fixing, and improving a suite of legacy enterprise applications for a high-profile entertainment industry client. This role requires a seasoned engineer who is comfortable navigating complex, multi-generational codebases spanning VB6 through modern .NET Core, someone who can diagnose issues quickly and deliver pragmatic, stable solutions.

Key Responsibilities:

• Maintain, debug, and enhance a portfolio of legacy desktop and web applications across multiple technology generations
• Triage and resolve production issues in WinForms-based desktop apps and API/middleware services
• Collaborate with client stakeholders and cross-functional engineering teams to understand business requirements
• Refactor and improve legacy code where appropriate without disrupting existing functionality
• Document findings, workarounds, and architectural decisions for knowledge transfer
• Support integrations between legacy systems and modern API layers

Requirements:

• 5+ years of professional software development experience
• Strong proficiency in VB.NET and C# (7.x / 8.x)
• Hands-on experience with .NET Framework (4.0, 4.5, 4.8) and .NET Core (3.1+)
• Experience working with or supporting VB6 applications
• Familiarity with WinForms desktop application development
• Experience building or maintaining REST APIs and middleware services
• Ability to work independently in unstructured, legacy codebases with minimal documentation

Nice to have:

• Exposure to Angular (v6, v9, or v12) for understanding front-end integrations
• Experience with Outlook Add-In development (.NET Framework)
• Background in the entertainment, talent management, or media industry
• Prior experience in a nearshore delivery model

Employment Type:

#LI-Remote

Role Description

We are looking for a Software Engineer to join our Design Systems team who will help define and build the next generation of how designers and engineers at Dropbox create products, spanning UI infrastructure, design systems, and AI-native development workflows. You will evolve our design system, build intelligent tooling, and integrate AI agents into the design-to-code lifecycle to improve speed, quality, and consistency.

This role blends foundational front-end engineering with AI-assisted and agent-driven workflows. You will work on scalable component architecture, design system governance, AI-powered developer tooling, and automation of design and engineering handoffs. Your work will directly influence how products are built across Dropbox.

You will play a crucial part in shaping how AI transforms product development. You will gain deep exposure to senior leadership, contribute to high-impact platform investments, and help define new ways of working at the intersection of design, engineering, and machine intelligence.

We are looking for a tinkerer at heart, someone who experiments, iterates, and pushes beyond conventional solutions. You approach emerging technologies, particularly AI and automation, as practical tools to reimagine workflows and unlock new capabilities. You bring curiosity, resilience, and a bias toward action, with the discipline to turn ambiguous ideas into production-ready systems others can rely on.

Responsibilities

• Develop, maintain, and evolve UI components and primitives that power Dropbox’s design system, enabling scalable and consistent product development.
• Design and build AI-powered tooling and agent-driven workflows that accelerate design-to-code processes and improve developer productivity.
• Partner closely with designers to translate design intent into high-quality, reusable code, while also shaping how AI can assist or automate parts of this workflow.
• Contribute to the architecture and strategy of AI-native UX development, including the integration of LLMs, agents, and automation into internal tooling.
• Prototype and productionize new concepts that explore the future of design systems.
• Ensure accessibility and inclusivity by embedding WCAG standards and best practices into both components and AI-assisted workflows.
• Write clear, scalable documentation for both human and AI consumers (e.g., enabling agents to effectively use the design system).
• Collaborate in code reviews, design critiques, and technical discussions to continuously raise the quality bar.
• Troubleshoot and resolve issues from internal teams, improving system reliability and usability.
• Drive experimentation and evaluation of emerging AI technologies, translating insights into practical improvements in tooling and workflows.

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

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of experience in front-end development, including experience contributing to or maintaining a design system or shared UI platform.
• Strong proficiency in HTML, CSS, and JavaScript, with deep experience in modern frameworks (e.g., React) and component-driven development.
• Demonstrated experience building scalable, maintainable front-end architecture for complex applications.
• Hands-on experience integrating or building with AI/ML-powered tools (e.g., LLM APIs, agent frameworks, or automation pipelines) in a development workflow.
• Solid understanding of accessibility standards (WCAG, ARIA) and how to implement them in reusable systems.
• Proven ability to collaborate effectively with cross-functional partners (design, product, engineering) and communicate technical concepts clearly.

Preferred Qualifications

• Experience designing or building AI-native developer tools, agent-based systems, or generative UI workflows.
• Track record of contributing to large-scale design systems or platform teams in fast-paced environments.
• Familiarity with prompt engineering, evaluation of LLM outputs, or designing systems that leverage AI for code generation or transformation.
• Experience with CI/CD pipelines, package publishing, and tooling that supports scalable design system distribution.
• Strong understanding of testing strategies (unit, visual, integration) for UI systems and component libraries.

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

• Design and evolve scalable backend systems that power Dropbox’s Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows.
• Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability.
• Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions.
• Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response.
• Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions.
• Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform.
• Take ownership of large, ambiguous problem spaces and drive them from definition through execution, influencing both technical and business stakeholders.

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, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience.
• 12+ years of professional software development experience.
• Proven expertise in building and maintaining large-scale, distributed backend systems.
• Strong system design skills, particularly in complex, stateful, or workflow-driven systems
• Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability
• Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems
• Strong communication and collaboration skills, with experience influencing cross-functional stakeholders

Preferred Qualifications

• Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce)
• Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures
• Experience working on revenue-critical or monetization platforms at scale
• Experience improving data consistency and integrity across distributed systems
• Demonstrated ability to influence technical direction across teams without direct authority

Compensation

Role Description

Responsibilities

• Design and evolve scalable backend systems that power Dropbox’s Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows.
• Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability.
• Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions.
• Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response.
• Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions.
• Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform.
• Take ownership of large, ambiguous problem spaces and drive them from definition through execution, influencing both technical and business stakeholders.

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, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience.
• 12+ years of professional software development experience.
• Proven expertise in building and maintaining large-scale, distributed backend systems.
• Strong system design skills, particularly in complex, stateful, or workflow-driven systems
• Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability
• Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems
• Strong communication and collaboration skills, with experience influencing cross-functional stakeholders

Preferred Qualifications

• Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce)
• Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures
• Experience working on revenue-critical or monetization platforms at scale
• Experience improving data consistency and integrity across distributed systems
• Demonstrated ability to influence technical direction across teams without direct authority

Role Description

Responsibilities

• Design and evolve scalable backend systems that power Dropbox’s Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows.
• Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability.
• Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions.
• Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response.
• Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions.
• Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform.
• Take ownership of large, ambiguous problem spaces and drive them from definition through execution, influencing both technical and business stakeholders.

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, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience.
• 12+ years of professional software development experience.
• Proven expertise in building and maintaining large-scale, distributed backend systems.
• Strong system design skills, particularly in complex, stateful, or workflow-driven systems
• Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability
• Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems
• Strong communication and collaboration skills, with experience influencing cross-functional stakeholders

Preferred Qualifications

• Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce)
• Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures
• Experience working on revenue-critical or monetization platforms at scale
• Experience improving data consistency and integrity across distributed systems
• Demonstrated ability to influence technical direction across teams without direct authority

Compensation

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

Responsibilities

• Technical leadership and architecture: Define and drive the technical roadmap for identity and engagement platform services, including APIs, service boundaries, data models, and reliability goals.
• Modernization and platform evolution: Lead multi-quarter modernization efforts (e.g., reducing legacy dependencies, improving scalability, simplifying integrations) with a focus on cohesion, observability, and operational excellence.
• Identity and access systems: Design and improve authentication, authorization, account integrity, and identity lifecycle services with strong security and privacy posture.
• Engagement and insights foundations: Build and evolve the systems that power engagement signals, experimentation hooks, telemetry/analytics pipelines, and usage insights to support product iteration and growth.
• Developer velocity and platform enablement: Create reusable platform primitives, reference architectures, and best practices that make it easier for product teams to build safely and quickly.
• Cross-functional collaboration: Partner with Product, Design, Security, Infrastructure, and AI/ML teams to align technical decisions with customer outcomes and organizational priorities.
• Execution and quality: Own delivery of complex initiatives end-to-end—breaking down ambiguous problems, driving alignment, and ensuring high-quality implementation, testing, rollout, and oncall readiness.
• Mentorship and influence: Mentor senior engineers, review critical designs, elevate engineering standards, and influence technical direction across teams beyond your immediate scope.

Requirements

• 12+ years of software engineering experience, including significant experience designing and operating large-scale backend or platform systems.
• Proven ability to lead architecture for distributed systems with high reliability, performance, and security requirements.
• Strong expertise in at least two of the following areas: identity/authn/authz, service API design, analytics/telemetry infrastructure, search/retrieval foundations, experimentation platforms, or engagement systems.
• Track record of driving modernization efforts in complex environments (e.g., migrating legacy systems, improving data quality and observability, simplifying architecture).
• Excellent technical judgment and ability to balance speed, stability, and long-term maintainability.
• Strong communication skills: able to write clear design docs, align stakeholders, and lead technical decision-making across teams.

Preferred Qualifications

• Experience with cloud-scale identity platforms (SSO, session management, risk signals, account security, privacy controls).
• Familiarity with AI enablement infrastructure, especially data pipelines, engagement signals, retrieval/search systems, and feedback loops.
• Experience building or operating multi-tenant SaaS platforms with strong compliance and security requirements.
• Demonstrated ability to influence org-wide standards and technical strategy (beyond a single team), including mentorship of other tech leads and principals.

Compensation

Role Description

Responsibilities

• Technical leadership and architecture: Define and drive the technical roadmap for identity and engagement platform services, including APIs, service boundaries, data models, and reliability goals.
• Modernization and platform evolution: Lead multi-quarter modernization efforts (e.g., reducing legacy dependencies, improving scalability, simplifying integrations) with a focus on cohesion, observability, and operational excellence.
• Identity and access systems: Design and improve authentication, authorization, account integrity, and identity lifecycle services with strong security and privacy posture.
• Engagement and insights foundations: Build and evolve the systems that power engagement signals, experimentation hooks, telemetry/analytics pipelines, and usage insights to support product iteration and growth.
• Developer velocity and platform enablement: Create reusable platform primitives, reference architectures, and best practices that make it easier for product teams to build safely and quickly.
• Cross-functional collaboration: Partner with Product, Design, Security, Infrastructure, and AI/ML teams to align technical decisions with customer outcomes and organizational priorities.
• Execution and quality: Own delivery of complex initiatives end-to-end—breaking down ambiguous problems, driving alignment, and ensuring high-quality implementation, testing, rollout, and oncall readiness.
• Mentorship and influence: Mentor senior engineers, review critical designs, elevate engineering standards, and influence technical direction across teams beyond your immediate scope.

Requirements

• 12+ years of software engineering experience, including significant experience designing and operating large-scale backend or platform systems.
• Proven ability to lead architecture for distributed systems with high reliability, performance, and security requirements.
• Strong expertise in at least two of the following areas: identity/authn/authz, service API design, analytics/telemetry infrastructure, search/retrieval foundations, experimentation platforms, or engagement systems.
• Track record of driving modernization efforts in complex environments (e.g., migrating legacy systems, improving data quality and observability, simplifying architecture).
• Excellent technical judgment and ability to balance speed, stability, and long-term maintainability.
• Strong communication skills: able to write clear design docs, align stakeholders, and lead technical decision-making across teams.

Preferred Qualifications

• Experience with cloud-scale identity platforms (SSO, session management, risk signals, account security, privacy controls).
• Familiarity with AI enablement infrastructure, especially data pipelines, engagement signals, retrieval/search systems, and feedback loops.
• Experience building or operating multi-tenant SaaS platforms with strong compliance and security requirements.
• Demonstrated ability to influence org-wide standards and technical strategy (beyond a single team), including mentorship of other tech leads and principals.

Compensation

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

At Dropbox, we believe in simplifying the way people work together. Our mission is to empower teams to build robust, scalable, and delightful web products with confidence. Web DX team supports this mission by creating and maintaining the build systems and developer tools that make engineering at Dropbox faster, more reliable, and more productive.

As a Software Engineer on the Web DX team, you’ll contribute to projects that improve the daily workflows of Dropbox web engineers. You will help build and refine the tools and systems that power tasks such as faster builds, smoother testing, type safety, and scalable internationalization - directly impacting developer productivity and confidence.

Within Web DX, the Web Build team focuses on build-time systems and tooling, including Bazel rules, TypeScript and React integrations, i18n pipelines, and JS package management and bundling. In this role, you’ll gain valuable exposure to modern build technologies, collaborate with senior engineers to identify and solve developer pain points, and grow your expertise in scaling developer experience across a large engineering organization.

This role is an excellent opportunity to develop platform engineering skills, contribute to high-impact systems used by hundreds of engineers, and learn how to shape web development practices at scale. You’ll be part of a collaborative team that values technical excellence, thoughtful abstractions, and building tools that last.

Responsibilities

• Contribute to the development and maintenance of build systems and developer tools that support Dropbox’s web engineering ecosystem, including Bazel rules, TypeScript tooling, React workflows, and i18n pipelines.
• Implement improvements that help streamline and standardize the development process, such as adding automated checks, improving abstractions, or extending scaffolding to reduce complexity.
• Collaborate closely with product engineers to understand workflow challenges and help deliver solutions that improve web build speed, reliability, and consistency.
• Adopt and apply modern practices in areas like static analysis, code quality enforcement, and incremental builds, working with senior engineers to introduce and maintain best practices.
• Participate in team initiatives that improve developer productivity at scale, such as optimizing build/test loops, enhancing build pipelines, and improving i18n tooling.

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 in Computer Science or related technical field, or equivalent practical experience.
• 2+ years of software engineering experience (or strong internship/project experience for recent graduates).
• Proficiency in JavaScript/TypeScript and familiarity with modern frontend frameworks such as React.
• Interest or experience in developer tooling, build systems, or productivity engineering (e.g., Bazel, RSPack, esbuild, or similar).
• Strong problem-solving skills, with the ability to debug and improve developer workflows.
• Collaborative mindset with a willingness to learn from and work closely with senior engineers.
• Experience with static analysis, linters, or code quality tools a plus.

Preferred Qualifications

• Experience contributing to or maintaining build systems (e.g., Bazel,) or bundlers (e.g., Webpack, rspack, Rollup).
• Familiarity with build pipelines and automated testing frameworks.
• Hands-on experience building or extending developer productivity tools such as linters, formatters, or scaffolding generators.
• Familiarity with monorepo development and dependency management at scale.
• Exposure to internationalization (i18n) workflows or localization tooling.
• Experience improving development workflows and test/build pipelines.
• Demonstrated ability to identify developer pain points and propose/implement process or tooling improvements.

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.

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

We are seeking a highly motivated and customer-facing Solutions Consultant/Sales Engineer to support our growth across Latin America. This role will partner closely with Sales, Product, and Customer Success teams to drive technical discovery, solution design, technical scoping, and business value for enterprise merchants in the payments and fraud prevention space. The ideal candidate has deep knowledge of ecommerce, payments, fraud/risk management, and can effectively communicate technical concepts in both English and Spanish or Portuguese.

What You'll Doing

• Partner with Account Executives to support the full sales cycle from discovery through close and internal technical handover to implementation teams.
• Lead technical discovery sessions to understand client payment flows, fraud challenges, and business KPIs
• Design and present tailored solutions, including
• Fraud detection strategies (machine learning, risk scoring, policy creation)
• Payment orchestration and optimization
• Deliver compelling product demos, support Proof of Value/Proof of Concepts, and technical presentations
• Translate customer requirements into technical specifications for internal teams
• Act as a trusted advisor to prospects on:
  • Fraud prevention best practices
  • Chargeback mitigation strategies
  • Payment authorization optimization
• Support RFP/RFI responses and technical documentation
• Collaborate with Product and Engineering teams to provide feedback from prospects/existing customers.
• Assist with onboarding handoff to implementation/customer success teams
  
  

Qualifications

• 5+ years of experience in solutions consulting/sales engineering/pre-sales OR Fraud/Risk/Payments roles with client facing exposure required
• Fluent in English and Spanish required, fluency in Portuguese a plus 
• Strong domain expertise in Ecommerce platforms and payment ecosystems (gateways, PSPs, acquirers, issuers), fraud prevention (chargebacks, dispute management, risk signals, AI/ML models) required
• Experience working with, APIs and basic systems integrations
• Proven ability to present to both technical and business stakeholders
• Experience working with fraud prevention SaaS providers preffered
• Experience supporting enterprise or mid-market accounts preferred
• Background in data analysis/ROI (BI tools, SQL, etc.) preferred
• Prior experience supporting LATAM markets 
• Ability to travel as needed for conferences/prospects meetings 

Please submit your CV/resume in English 

In the News

Reuters: General Atlantic-backed Riskified valued at $4.3 bln in NYSE debut

Fortune Magazine: Riskified named Best Workplaces in New York for 2022

The Muse: Q&A with Sales Enablement Manager Benedikt Parstorfer

Globes: Riskified is among Israel’s fastest growing companies 

TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site

CTech: Riskified’s VP HR on Post-COVID Flexible Work Routines

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

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.

En búsqueda de:

Data Engineer

Propósito del Rol
Garantizar la integración técnica segura y robusta entre los agentes de IA y los sistemas core de la organización.

Responsabilidades Clave

Integración con sistemas empresariales (SAP, HR, SharePoint, APIs).

Diseño y consumo de servicios REST/GraphQL.

Gestión de identidad y permisos con TI.

Configuración de seguridad y compliance.

Asegurar estabilidad, performance y escalabilidad.

Manejo de errores y monitoreo técnico.

Entregables

APIs o conectores configurados

Arquitectura de integración

Documentación técnica

Pruebas de integración

Skills clave

Integración de sistemas

Azure / Microsoft ecosystem

Seguridad y control de acceso

Arquitectura técnica

Manejo de datos estructurados y no estructurados

Ofrecemos:

Modalidad: Hibrida, 2 dias en oficinas (CDMX, Zona Sur)

Ubicación: México.

Salario competitivo y prestaciones superiores a la ley:

Seguro de Gastos Médicos Mayores (SGMM).

Vales de despensa y bono por trabajo remoto.

Días económicos adicionales y día libre en cumpleaños.

Plan de crecimiento profesional y desarrollo de carrera.

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!

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 Design award winner for inclusivity for 2025.

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

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

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.

Required:

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

Preferred / Bonus:

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

What we offer

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

Think you’re a good fit for this job? 

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

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

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

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

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.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

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

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.