Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

You Will:

• Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Build ML training and fine-tuning pipelines using Scale's robotics data
• Work across backend (Python, Node.js, C++), and frontend (React, TypeScript) stacks to build end-to-end solutions
• Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors
• Collaborate with ML engineers and researchers to bring robotics research into production
• Deliver features at high velocity while maintaining system reliability and performance

Ideally, You Have:

• 3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems.
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to Haves:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

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 (Bi-monthly payroll)
• 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/

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

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.

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

The Govtech team builds rich and creative features that set the standard for the ride sharing industry. We are seeking a highly motivated, early-career software engineer to contribute to the development of features that facilitate Lyft's entry into new markets, ensure the company's adherence to local regulatory requirements, and utilize the latest AI technologies to enhance the user experience. Ownership is a key quality for this team; this person should be driven to track a project to successful completion and beyond, taking initiative to work with other teams and functions to ensure the code they write reaches users and drives impact. 

As a Software Engineer for Govtech, you’ll be responsible for executing integrations with partners, making tradeoffs between technical investments and product work, and collaborating with other engineers on system design. You will help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations. You will work with a group of talented engineers and help the team to deliver significant business impact. If you enjoy collaborating with technical and nontechnical partners in a fast-moving space with real-world impact, this is the role for you.

Responsibilities:

• Help establish roadmap and architecture based on technology and understanding of customer needs
• Write well-crafted, well-tested, readable, maintainable code
• Can help lead large projects from idea to positive execution
• Unblock, support and communicate with external and internal partners to achieve results
• Participate in code reviews to ensure code quality and distribute knowledge
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices

Experience:

• Engineering industry experience
• BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience.
• Experience with object-oriented programming
• Experience in distributed systems
• Experience working with databases, relational or NoSQL
• Write clear, scalable and clear design documentation
• Design, build and improve a set of team owned components
• Nice to have: experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
• Nice to have: experience with machine learning and building LLM applications

Nice to have: proficiency in AI tools.

Please submit your resume in English.

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, our culture is the foundation of everything we do—it shapes how we work, how we serve our customers, and how we pursue our mission. Guided by five core values, we strive to embody them every day:

• We Think Big
• We Take Simplicity Seriously
• We Come As We Are
• We Act With Humility
• We Are Built On Trust

Culture is a shared responsibility at SimplePractice, driving us to be better teammates and deliver more for our customers. Collaboration and connection are also key to our success. As part of our team, you'll work alongside talented colleagues across multiple countries and have opportunities to collaborate virtually and in-person, in both the U.S. and Mexico.

The Role

As the Senior Engineering Manager, you will lead and support SimplePractice engineers in designing and developing high quality software solutions for our products. You’ll also partner closely with product managers, designers, and other stakeholders to define technical requirements, ensure smooth project execution, and encourage a high performing collaborative team environment.

Responsibilities

• Lead a squad of engineers, fostering collaboration and supporting their professional growth.
• Work closely with product and design teams to define requirements and technical direction and translate those into work
• Provide mentorship to engineers across a variety of backgrounds and experiences
• Set clear performance expectations and provide direct, timely and actionable feedback
• Promote engineering best practices within your squad and across the entire engineering team
• See around the corner to anticipate technical and resourcing challenges
• Ensuring collaboration in a remote / hybrid work environment across cross-functional teams

Desired Skills & Experience

• 5+ years of experience delivering high quality software products as a software engineer
• 5+ years of experience managing software engineers
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
• A strong technical background, including: Experience building web applications using common frameworks (Ruby on Rails is preferred but not required). Experience writing clean, readable and testable code Experience with delivering ML/AI projects (preferred) Experience architecting web applications Solid understanding of SQL and databases Proficiency with Git, CI/CD pipelines, and release management Working knowledge of front-end technologies and frameworks
• Leadership and communication skills, including: A proven track record in managing, mentoring, scaling, and inspiring diverse teams of software engineers in complex, zero-to-one environments.Strong verbal communication and technical writing skills An innate curiosity about new technologies and software engineering patterns The ability to form strong partnerships with your peers in engineering, product, and design, as well as non-technical stakeholders The ability to translate business objectives into technical solutions and plans Understanding of software development lifecycles, agile engineering principles, and other modern engineering practices.
• Experience with identity management, authentication methods, and security standards.

Benefits

We offer a competitive benefits program including:

• • Privatized Medical, Dental & Vision Coverage
  • Work From Home stipend 
  • Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
  • Monthly Meal Reimbursement
  • Holiday Bonus, 15-day Aguinaldo
  • Hybrid Work Schedule & Catered Lunch
  • A relocation bonus for candidates joining us from a different city 
  • Employee Resource Groups (ERGs)

About Us 

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

The Role

Our team is dedicated to empowering clinicians through data-driven innovations. We combine rigorous data science with practical engineering to build systems that make daily workflows more efficient, insightful, and intuitive. If you love tackling challenging problems and turning data into meaningful outcomes, you’ll find a welcoming and dynamic environment here.

As a Machine Learning Engineer, Applied AI, you’ll be at the forefront of building product features that help clinicians work effectively and efficiently, providing quality care to patients. You’ll be designing experiments, building robust models, tuning prompts, implementing LLM evals, and driving projects from idea to prototype to production with product, engineering and devOps teams. You’ll also play an important role in the roadmapping exercises of our ML platform. 

We value mentorship, open communication, and pushing the boundaries of what AI can do in a real-world healthcare context. Whether you’re fine-tuning a model, presenting insights to stakeholders, or brainstorming new product features, your work will have a direct and meaningful impact.

Responsibilities

• AI Prototyping and Development
• Develop AI workflows, customize data pipelines,  tune models, and engineer prompts to bring idea to prototype 
• Work with subject matter experts to set up evaluation for AI workflows, ensuring rigor, quality and safety of content output 
• Work with eng partners to integrate AI workflows into production
• Build and configure AI performance monitoring with proper reporting and alerts
• Optimize and maintain AI workflows for performance, reliability, and long-term scalability

• Research 
• Start with the Job-to-be-done, dive deep into the domain and understand the problem from user perspective 
• Decompose problems into conquerable pieces. Design solutions to address each with cross-disciplinary thinking and big picture in mind. 
• Conduct exploratory data analysis to answer key questions and test assumptions. Design experiments and build prototypes for proof-of-concept. 
• Build artifacts to illustrate the findings with rigor and how they inform the roadmap and decisions 

• Cross-Functional Collaboration
• Provide AI expert advice to product and eng partners in shaping product roadmap
• Partner closely with software eng, product, data eng, ML platform teams to scope and plan in execution 
• Communicate timeline, milestones, findings w/ internal stakeholders

• Mentor & Advocate Best Practices
• Guide less experienced team members, sharing knowledge on LLM workflows and AI/ML model lifecycle 
• Champion a culture of experimentation, continuous learning, and proactive problem-solving

• Drive Innovation
• Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities
• Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective

Desired Skills & Experience 

• BS or above in Computer Science, Statistics or a related technical field 
• 5+ years of experience in Machine Learning, with proven track record of bringing ideas to life, from prototype to productized features 
• Strong proficiency in Python and hands-on with advanced data analysis tools 
• Strong skills in data engineering and self-sufficient in data pipelines for the AI workflow
• Experience with AWS (or other cloud platforms) for model deployment
• Comfortable designing and evaluating LLM-driven workflows
• Familiarity with retrieval pipelines and vector databases 
• Problem-oriented mindset with strong cross-disciplinary thinking and a bias toward simplicity and clarity in solving problems 
• Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom 
• Proficiency in English with strong communication and collaboration skill

Bonus Points 

• Experience with RAG architecture and context/state management for LLMs 
• Familiarity with LLM eval tools and human-in-the-loop evaluation process 
• Experience with Outerbounds or similar ML orchestration platforms
• Experience with Argo Flows for CI/CD
• Experience with prompt management tool like Langfuse
• Familiarity with Kubernetes for container orchestration
• Background in healthcare, clinical workflows, or regulated domains

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend 
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city 
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. 

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech.  Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

The Role

We're looking for a Senior Data Engineer to help lead the evolution of our data stack—from pipelines to platform. In this role, you'll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product

Our customers are clinicians in small to mid-sized private practices, and the data you shape will directly help them run more efficient, effective businesses. By enabling accessible insights—from no-show trends to client engagement—you’ll give practitioners the tools to make smarter, faster decisions about how they manage care.

Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You’ll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice.

Responsibilities

• Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
• Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons 
• Work with analytics to create company wide alignment through standardized metrics across the company
• Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
• Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product 
• Manage the complete data stack from ingestion through data consumption
• Build tools to increase transparency in reporting company wide business outcomes
• Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
• Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice

Desired Skills & Experience

• Education & Experience
  • BS/MS in Engineering, Computer Science, Mathematics, or related field
  • 7+ years in Data or Analytics Engineering
  • Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
• Data Engineering & Pipelines
  • Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
  • Expert in SQL and data modeling (relational, dimensional, semantic)
  • Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
  • Hands-on with DBT for modular, testable transformations
  • Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
  • Familiar with ELT, schema-on-read, DAGs, and performance optimization
• Cloud & Infrastructure
  • Experience with AWS (S3, RDS, Redshift, etc.)
  • Familiar with Terraform, Docker, and containerized workflows (bonus)
  • Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
• Analytics & Enablement
  • Experience building and supporting semantic layers for self-serve analytics
  • Proficient with BI tools like Looker, Tableau, or Sisense
  • Comfortable standardizing metrics and enabling trusted, consistent access to data
• Programming & Scripting
  • Proficient in Python and Unix/Linux scripting
  • Comfortable working with APIs (e.g., using curl)

Bonus Points

• AWS DevOps - Terraform, Kubernetes, Docker
• Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries
• Real-time ETL - Kafka streaming, AWS Kinesis

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend 
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city 
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. 

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Sobre Nosotros

SimplePractice tiene su sede en Los Ángeles, California, pero contamos con miembros del equipo que viven y trabajan en Estados Unidos, República Dominicana, Ciudad de México y Ucrania.

En SimplePractice, trabajamos para mejorar el acceso a una atención de calidad, brindando  a los profesionales de la salud y el bienestar todas las herramientas que necesitan para prosperar en la práctica privada.

Más de 250,000 proveedores confían en SimplePractice para desarrollar su negocio con nuestro software líder en la industria, que ofrece potentes herramientas que simplifican cada aspecto de la gestión de la práctica. Desde las tareas administrativas hasta la atención clínica, nuestro conjunto de soluciones innovadoras trabaja de manera integrada para reducir la carga administrativa, permitiendo a los profesionales, tanto individuales como en pequeños grupos, prosperar junto con sus clientes.

Ganador de premios y centrado en las personas, SimplePractice está dando forma al futuro de la tecnología de la salud. Reconocido por MedTech Breakthrough y los Premios de Salud Digital, y como uno de los Mejores Lugares para Programar en México y uno de los Mejores Lugares para Trabajar según BuiltIn.

Nuestra Cultura

En SimplePractice, la cultura es nuestra base. Influye en la manera en que trabajamos, cómo servimos a nuestros clientes y cómo abordamos el cumplimiento de nuestra misión. Contamos con cinco valores fundamentales que buscamos encarnar cada día:

• Pensamos en grande

• Tomamos la simplicidad en serio

• Venimos tal como somos

• Actuamos con humildad

• Estamos construidos sobre la confianza

La cultura es responsabilidad de todos en SimplePractice. Es lo que nos impulsa a hacerlo mejor para nuestros compañeros y clientes.

La conexión y la colaboración también son clave para nuestro éxito. Trabajarás con equipos multinacionales talentosos y tendrás oportunidades de participar en encuentros presenciales tanto en EE. UU. como en México.

🚀 ¡Encuéntranos en la Ciudad de México!

¿Quieres conocer al equipo antes de postularte? Acompáñanos el 28 de mayo en nuestro encuentro "Más allá de la app: Construyendo el futuro de la tecnología con IA y datos", en colaboración con RubyCDMX.

¡Habla de IA, datos e ingeniería con nuestros líderes mientras disfrutas de una bebida! 🍺 👉 Confirma tu asistencia aquí: https://luma.com/32jeyopv

El Rol

Estamos buscando un Senior Data Engineer para ayudar a liderar la evolución de nuestro stack de datos, desde los pipelines hasta la plataforma. En este rol, construirás la infraestructura que impulsa todo, desde inteligencia de producto hasta reportes financieros y analítica self-serve dentro del producto.

Nuestros clientes son profesionales clínicos en prácticas privadas pequeñas y medianas, y los datos que estructures les ayudarán directamente a operar negocios más eficientes y efectivos. Al habilitar insights accesibles, como tendencias de inasistencias o niveles de interacción de pacientes, brindarás a los profesionales herramientas para tomar decisiones más inteligentes y rápidas sobre la gestión de la atención.

Internamente, tu trabajo impulsará desde reportes ejecutivos y proyecciones de ingresos hasta analítica de producto y ciclos de evaluación de modelos de IA. Colaborarás con equipos de Data Analytics, Machine Learning, Producto e Ingeniería para construir sistemas escalables y confiables que conviertan los datos en un producto de primera clase dentro de SimplePractice.

Responsabilidades

• Colaborar con Producto, Analytics e Ingeniería para construir sistemas escalables que desbloqueen el valor de los datos provenientes de múltiples fuentes como bases de datos backend, flujos de eventos y plataformas de marketing.
• Liderar la visión técnica y la arquitectura con una perspectiva integral tanto a corto como a largo plazo.
• Trabajar con el equipo de Analytics para crear alineación a nivel compañía mediante métricas estandarizadas.
• Apoyar casos de uso internos como reportes financieros, analítica de producto y métricas operativas.
• Habilitar casos de uso externos como dashboards para clientes, analítica self-serve y recomendaciones dentro del producto.
• Gestionar el stack completo de datos desde la ingestión hasta el consumo.
• Construir herramientas que aumenten la transparencia en el reporte de resultados de negocio.
• Colaborar con DevOps para desplegar y mantener soluciones de datos en la nube, preferentemente en AWS.
• Definir marcos de calidad y seguridad de datos para medir y monitorear la calidad en toda la organización, promoviendo mejores prácticas de ingeniería de datos.

Habilidades y Experiencia Deseadas

Educación y Experiencia

• Licenciatura o Maestría en Ingeniería, Ciencias de la Computación, Matemáticas o campo relacionado.
• Más de 7 años en Data Engineering o Analytics Engineering.
• Fuertes habilidades de resolución de problemas y comunicación; cómodo trabajando en entornos dinámicos y multifuncionales.

Ingeniería de Datos y Pipelines

• Experiencia en arquitectura empresarial y modelado dimensional.
• Experto en SQL y modelado de datos (relacional, dimensional, semántico).
• Experiencia comprobada en diseño, implementación y mantenimiento de data warehouses (Snowflake).
• Experiencia práctica con DBT para transformaciones modulares y testeables.
• Experiencia con herramientas de orquestación e ingestión: Airflow, Prefect, Airbyte, Fivetran, Kafka.
• Familiaridad con ELT, schema-on-read, DAGs y optimización de rendimiento.

Nube e Infraestructura

• Experiencia con AWS (S3, RDS, Redshift, etc.).
• Familiaridad con Terraform, Docker y flujos de trabajo contenerizados (deseable).
• Manejo de datos estructurados, semi-estructurados (JSON) y formatos columnares (Parquet, ORC).

Analítica y Habilitación

• Experiencia construyendo y soportando capas semánticas para analítica self-serve.
• Dominio de herramientas BI como Looker, Tableau o Sisense.
• Experiencia estandarizando métricas y habilitando acceso confiable y consistente a los datos.

Programación y Scripting

• Dominio de Python y scripting en Unix/Linux.
• Experiencia trabajando con APIs (por ejemplo, usando curl).

Puntos Extra

• AWS DevOps (Terraform, Kubernetes, Docker).
• Experiencia en gestión de proyectos y cambio, especialmente en entornos ágiles (SCRUM, Kanban).
• Experiencia en ETL en tiempo real (Kafka streaming, AWS Kinesis).

Beneficios

Ofrecemos un programa competitivo de beneficios que incluye:

• Seguro médico, dental y de visión privado
• Apoyo para trabajo desde casa
• Tiempo libre flexible (FTO), días de bienestar, días festivos pagados y Summer Fridays
• Reembolso mensual de alimentos
• Bono navideño y 15 días de aguinaldo
• Esquema híbrido de trabajo y comidas patrocinadas
• Bono de reubicación para candidatos que se muden desde otra ciudad
• Grupos de Recursos para Empleados (ERGs)

What you'll do

We're looking for an IT Support Engineer to join our technology team in Mexico City. This role is ideal for a systems engineer who thrives in a collaborative environment and is passionate about delivering excellent internal customer support. You will be the backbone of our local infrastructure, ensuring that every Claridian has the tools and connectivity they need to drive our mission forward.

In this role, you will:

• Manage and troubleshoot network infrastructure using Cisco, Fortinet, and Unifi equipment to ensure high-performance connectivity.

• Provide high-touch technical support for Windows and macOS systems, troubleshooting hardware and software issues at the machine level.

• Oversee Google Workspace administration, managing user accounts, security permissions, and collaborative tools.

• Manage Mobile Device Management (MDM) solutions to ensure all company hardware is secure and compliant.

• Handle equipment setup, configuration, and deployment, including supporting office technology infrastructure and basic electrical/electronic systems.

• Respond to support tickets and technical requests promptly via Slack, communicating technical solutions clearly to non-technical users.

• Collaborate with cross-functional teams to resolve issues efficiently, maintaining a high standard of internal customer service.

Who you are

“We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.”

Must haves

• Bachelor's degree in Systems Engineering, Computer Science, or a related technical field.

• 1-3 years of experience in IT support or a similar technical infrastructure role.

• Working proficiency in English and Spanish; ability to navigate technical documentation and communicate with global teams.

• Strong networking knowledge with hands-on experience in Cisco, Fortinet, or Unifi equipment.

• Proficiency in Google Workspace administration and solid understanding of Windows and macOS operating systems.

• Experience with MDM platforms for fleet management and security.

• Adaptability to fast-changing environments and a proactive attitude toward solving complex hardware/software issues.

• Proven role-specific execution in managing office technology and internal support systems.

Nice to haves

• Experience or interest in AI tools to automate internal support workflows or ticketing responses.

• Independent analytical skills using spreadsheets or data analysis tools to track asset lifecycles and support metrics.

• Basic understanding of electrical circuits and electronics maintenance.

• A good sense of humor.

Perfil: Desarrollador Cloud

Rol: Desarrollador

Nivel: STD – SR

Experiencia

Años de experiencia:

• 3 o más años de experiencia como Desarrollador/a Cloud (Multi‑Nube) con IA/ML y DevOps.

Escolaridad

• Licenciatura o Ingeniería en:
• Sistemas
• Computación
• Matemáticas
• Física
• Carrera afín
• (O experiencia equivalente comprobable)

Modalidad y Condiciones de Trabajo

• Modalidad de trabajo: Híbrido
• Días en oficina: 2 veces por semana
• Horario: Lunes a viernes, 9:00 a.m. a 6:00 p.m.
• Ubicación: CDMX
• Dirección de sede: Polanco / Reforma

Objetivo del Puesto

Diseñar, construir y operar aplicaciones y servicios escalables en entornos multi‑nube (AWS, GCP y/o Azure), integrando desarrollo backend, prácticas DevOps/MLOps e implementación de modelos de IA/ML en entornos productivos, asegurando calidad, seguridad, observabilidad y eficiencia operativa.

Certificaciones Recomendadas

Google Cloud Platform

• Google Professional Cloud Developer
• Google Professional Cloud Architect (deseable para perfil SR)
• Google Professional Machine Learning Engineer
• Google Associate Cloud Engineer

Amazon Web Services (AWS)

• AWS Certified Developer – Associate
• AWS Certified Solutions Architect – Associate
• AWS Certified Machine Learning – Specialty (altamente alineada a IA/ML)
• AWS DevOps Engineer – Professional (deseable para perfil SR)

Microsoft Azure

• Microsoft Certified: Azure Developer Associate (AZ‑204)
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure DevOps Engineer Expert

Machine Learning

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Azure Data Scientist Associate
• TensorFlow Developer Certificate
• IBM AI Engineering Professional Certificate

Idioma

• Inglés técnico (deseable)

Habilidades Blandas

• Trabajo en equipo
• Autogestión
• Perfil autodidacta
• Comunicación efectiva
• Resolución de problemas
• Adaptabilidad
• Proactividad
• Pensamiento analítico

Requisitos Técnicos

Versionador e Integrador de Código

• Git
• GitHub Actions / GitLab CI
• Cloud Build / Cloud Deploy (GCP)
• CodeBuild / CodePipeline (AWS)
• Azure DevOps Pipelines

Lenguajes de Programación

• Python
• Node.js
• TypeScript (deseable)
• SQL
• YAML (pipelines / Infraestructura como Código)

Sistemas Operativos

• Linux (principal)
• Windows
• macOS

Manejadores de Bases de Datos

• Cloud SQL
• Amazon RDS
• Azure SQL
• BigQuery
• Bases de datos relacionales y analíticas
• Almacenamiento de objetos:
• Amazon S3
• Google Cloud Storage
• Azure Blob Storage

Frameworks de Desarrollo

Backend

• Express
• Fastify (Node.js)

IA / ML

• scikit-learn
• TensorFlow / Keras
• PyTorch

NLP

• spaCy
• NLTK
• Hugging Face Transformers (deseable)

IDE

• Visual Studio Code
• IDEs compatibles con Python y Node.js

Herramientas

• Docker
• Kubernetes (GKE / EKS / AKS)
• Helm
• Terraform
• MLflow / DVC
• Postman (pruebas de APIs)
• Prometheus / Grafana
• OpenTelemetry

Plataformas Cloud

• Google Cloud Platform (principal)
• Amazon Web Services (deseable)
• Microsoft Azure (deseable)

Asistentes de IA

• No especificados explícitamente
• (Uso implícito de frameworks y plataformas de IA/ML)

Conocimiento del Negocio

Marcos o Metodologías de Trabajo

• Metodología Ágil
• Scrum

Herramientas para Seguimiento y Control de Proyectos

• Gestión de backlog (herramientas ágiles no especificadas)
• Métricas ágiles:
• Velocity
• Lead Time
• Tableros de observabilidad
• Definición y seguimiento de SLO / SLI

Esquema de Trabajo

• Asignación a proyectos
• Desarrollo y operación de productos digitales
• (No esquema de fábrica de software)

Tipo de Asignación

• Proyectos
• Operación
• Soporte productivo
• Mejora continua

Tipo de Proyecto

• Ágil

Industria

• Banca / Servicios Financieros

Tecnología

• Cloud Computing
• Inteligencia Artificial / Data

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America – and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Learn more about us at our careers page.

About the Role

The Senior Network Engineer will join the Connectivity Engineering team within Nubank’s Foundation Business Unit, responsible for the core connectivity platforms that support our regulated environments and customer‑facing products in Mexico and across Latin America. Connectivity Engineering designs, builds and operates the network backbone that keeps Nubank’s products securely available to customers around the world and enables our expansion into new countries and partners.

In this role, you will have end‑to‑end ownership across architecture, delivery and operations for regulatory connectivity, product connectivity and third‑party integrations, supporting both on‑premises and cloud environments in a highly available and regulated context. You will help shape our connectivity roadmap, lead critical initiatives, and support the growth of other engineers while remaining hands‑on in production.

You will also play a key role in our multi‑year journey to evolve from traditionally managed networking toward an automation‑, observability‑ and governance‑first connectivity stack, including responsible use of AI to improve reliability and operations.

What You Will Do

You will:

• Design and implement scalable, resilient network solutions aligned with business and regulatory requirements.
• Own High‑Level and Low‑Level Designs (HLD/LLD) for connectivity initiatives across data centers, WAN, cloud edge and partners.
• Build and evolve data center and WAN connectivity platforms (including VXLAN/EVPN fabrics), ensuring reliability, performance and observability at scale.
• Support production environments with incident troubleshooting, change execution and root cause analysis, including participation in a weekly on‑call rotation.
• Manage and improve network observability and monitoring, analyze performance and implement optimizations for speed, reliability and efficiency.
• Conduct network risk assessments and audits, helping ensure compliance with Nubank’s security policies and regulatory requirements.
• Drive automation and observability initiatives, helping us move from manual processes to automation‑ and observability‑driven operations over time.
• Collaborate with Cloud, Security, Infrastructure and Product teams, vendors and partners, improving documentation, standards and operational practices, and mentoring less senior engineers.

What We Are Looking For

Must‑have

• 5+ years of hands‑on experience as a Network Engineer (or similar role) designing and operating production networks at scale.

Networking fundamentals (hands‑on experience):

• Layer 2: VLANs, STP, LACP, port security.
• Layer 3: Strong experience with BGP (iBGP/eBGP) and OSPF; exposure to VXLAN; IPv6 experience in production is a strong plus.
• High availability: Design and operation of redundant topologies using protocols such as HSRP/VRRP and fast convergence techniques.

Network security and services:

• ACLs, route‑maps, prefix‑lists, NAT, VPN (IPSec-based, such as DMVPN or similar), GRE.
• Solid experience operating Next‑Gen Firewalls, ideally Palo Alto and/or Fortinet (policy design, HA, troubleshooting).

Infrastructure and connectivity:

• Experience with WAN technologies such as MPLS, L3VPN, L2VPN, SD‑WAN or Carrier Ethernet (strong depth in several of them).
• Understanding of data center architectures, preferably spine‑leaf, and their operational implications.
• Knowledge of VXLAN/EVPN fabrics for data center architectures.
• Strong knowledge of core network services and protocols: DNS, DHCP, NTP, SNMP, AAA, TCP/IP.
• Experience with QoS mechanisms (classification/marking, queuing, shaping) to manage performance and prioritize critical traffic in WAN and data center environments.

Platforms, tooling and operations:

• Hands‑on experience with enterprise load balancers (e.g., F5 BIG‑IP LTM/GTM or equivalent).
• Experience in multi‑vendor environments (e.g., Juniper, Cisco, etc.).
• Familiarity with monitoring/observability tools (e.g., Prometheus, Grafana, ThousandEyes or similar).
• Strong production operations experience: troubleshooting and incident handling, change and problem management, and packet‑level analysis (e.g., tcpdump, Wireshark) to diagnose complex network and application‑layer issues.

Ways of working:

• Experience working in an Agile environment (e.g., Scrum or Kanban), collaborating with cross‑functional teams and stakeholders.

Nice‑to‑have

• Experience with network automation and Infrastructure as Code (IaC) using tools such as Terraform, Ansible and Python for automated network provisioning and configuration.
• Cloud networking experience (AWS or similar), including VPC design, hybrid connectivity and security controls.
• Experience with Kubernetes or modern platform environments, especially in how they interact with underlying network and security layers.
• Exposure to financial systems and networks (e.g., SPEI, DIMO or similar payment/clearing systems).
• Certifications such as CCNP, JNCIP, AWS or equivalent (valued but not mandatory).
• Experience with security tools (IDS/IPS, SIEM) and integrating network telemetry into security monitoring.
• Exposure to AI/ML applications in networking (e.g., anomaly detection, traffic analysis, predictive capacity planning), and interest in helping identify realistic, high‑impact use cases for these capabilities in our environment.

How You Operate

You will fit well if you:

• Have a strong sense of ownership and accountability over systems, platforms and outcomes.
• Are comfortable navigating ambiguity, connecting the dots and driving solutions end‑to‑end.
• Communicate clearly and proactively with teams, regions and stakeholders, tailoring your message to the audience.
• Balance hands‑on execution with architectural thinking, knowing when to deep‑dive and when to guide.
• Collaborate effectively with peers, vendors and cross‑functional teams, valuing feedback, documentation and knowledge sharing.
• Enjoy mentoring and supporting other engineers, helping them grow technically and in how they operate.
• Demonstrate strong crisis management, with fast and assertive responses during high‑severity incidents.

Role Location & Working Model

• Location: Mexico (MX).
• Model: Hybrid – from January 2027, we expect three days per week in the office, with flexibility aligned to Nubank’s hybrid work guidelines.

Diversity & Inclusion

We are committed to building a diverse and inclusive team that reflects the customers we serve. We encourage applications from people of all backgrounds and identities, even if you don’t meet 100% of the requirements. If you are excited about building and operating critical connectivity platforms at scale, we’d love to hear from you.

As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey,  from discovery and solution design to proof-of-concept delivery and technical validation.

This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems.

You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers.

What You’ll Be Doing

• Partnering with Sales to lead the technical pre-sales process from discovery to close
• Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions
• Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs)
• Deploying and configuring environments in cloud or on-prem setups for customer evaluations
• Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing
• Troubleshooting customer challenges and guiding them toward successful outcomes
• Delivering engaging technical presentations to customers, partners, and events
• Supporting conferences and showcases with compelling technical demonstrations
• Sharing knowledge internally and helping Sales stay up to date as our platform evolves

Who We’re Looking For:

• Previous experience working in a customer-facing technical role
  (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar)
• Hands-on programming ability in Python
• Comfortable working with APIs, integrations, and technical troubleshooting
• Experience deploying or configuring software in cloud, Linux, containers, or networked environments
• Strong problem-solving skills and ability to translate customer needs into workable solutions
• Confident communicator who enjoys working directly with customers
• Self-motivated, curious, and eager to learn new technologies quickly
• Collaborative mindset and ability to manage multiple opportunities simultaneously