Staff PRODUCT ENGINEER (Contract)

Build it. Ship it. Own it.

Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic, Peru

About Counterpart

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A-rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.

The Role

As a Product Engineer at Counterpart, you own problems and drive outcomes. You iron out requirements with stakeholders, partners, and customers. You leverage AI for implementation. You verify the end-to-end result. You iterate until you move the needle.

You run projects with other Product Engineers and AI agents. You know when to delegate to a human, when to delegate to an agent, and when to do it yourself. 

YOU WILL

Own the Problem

• Take accountability for the outcome. 
• Talk directly to your users, stakeholders, and peers to discover the problem. 
• Translate business intents into functional requirements that engineers and agents can build against. Determine where human judgment is non-negotiable and where AI can augment or act autonomously. 
• Own the non-functional technical requirements. Specify the quality bar: performance, scalability, reliability, security, maintainability.

Build with AI

• Write production-quality code across the stack: Python, Django, AWS, React, and PostgreSQL. You are not afraid of any layer.
• Direct agents and review their output with domain depth. Catch what they miss across the functional and non-functional bar: correctness, edge cases, performance, security, testability, readability.
• Evaluate and improve agent output regularly. Track failure modes. Refine the prompts and patterns that lift the quality ceiling over time.
• Run projects that span other Product Engineers and agents. Coordinate work, manage dependencies, and keep things moving without micromanaging.
• Contribute to architectural decisions. Bring options and alternatives, not objections. Know when the elegant solution is the wrong call for a startup moving fast.
• Contribute to and manage the context harness as you build and deliver.

Verify and Iterate

• Surface delivery risks early. Bring solutions, not just problems. Keep your stakeholders informed without turning every risk into a meeting.
• Verify the end-to-end result yourself. Confirm the system does what the requirements say, and that the requirements were right.
• Drive adoption of what you ship. Documentation, enablement, and usage monitoring are part of the job.
• Monitor your services in production. Own the signal. Debug and fix what breaks.
• Participate in support rotations. When users run into issues with what you shipped, you investigate and fix them.
• Iterate until you move the needle. Shipping is not the finish line. Outcome is.

Raise the Bar

• Mentor engineers around you. Give direct, useful feedback. Leave things better than you found them.
• Make deliberate calls on technical debt: when to accumulate it, when to pay it down, when to refactor. Translate trade-offs into language that business leaders can act on.
• Operate to the engineering standards for quality, reliability, and operational excellence.

YOU HAVE

• 10+ years building production web applications across the full stack. The years are the floor, not the bar. What matters is whether you have actually done this: owned a problem end-to-end, written the spec, built the thing, coordinated the work, and shipped it without someone else holding the thread.
• Demonstrated experience gathering requirements directly. You have interviewed users, customers, and partner teams, and turned ambiguous intent into specs that engineers and agents can build against.
• Demonstrated experience owning both functional and non-functional requirements. You have defined what a system must do and held the line on how well it must do it.
• A track record of owning a domain or initiative without close supervision. You have navigated ambiguity, made judgment calls, and been accountable for the outcome.
• Extreme ownership and a bias for action. You do not sit and wait. You chase stakeholders, customers, and answers when you need them.
• Experience coordinating across engineers and AI agents on a shared initiative. You have managed the work without holding a formal management title.
• Strong technical judgment and the depth to catch what AI-generated code gets wrong: not syntax, but correctness, architecture, intent.
• Proficiency with Python and Django. Working knowledge of TypeScript, React, and PostgreSQL.
• Proficiency in developing with AI tools (Claude Code, Cursor, OpenAI Codex, similar) and the drive to stay ahead of how AI development practices are evolving.
• Domain curiosity. You learn the business context your work supports, not just the systems. You understand why the problem matters, not just how to solve it.
• The ability to communicate clearly across engineering, product, and business, translating technical complexity without losing meaning.
• Low ego and high Emotional Quotient (EQ). You influence without authority, take feedback well, and leave your ego out of technical decisions.
• Experience working with distributed, remote teams.

HOW THIS ROLE WORKS

Product Engineering exists to collapse the distance between a problem and a working solution. You own a problem or part of a vision. You shape it with stakeholders. You build it with AI. You verify it end-to-end. You iterate until the metric moves.

You work within the Context Architecture, a shared system of documentation, design patterns, and domain knowledge that gives you the technical context to make autonomous decisions at every step.

This is not a role for engineers who need to be told how. It is a role for engineers who can take a problem, fill in the gaps with good judgment, and ship something that works.

WHO YOU WILL WORK WITH

• Derrick Franco, Principal Engineer: After teaching himself to code at 13, Derrick went on to co-found Jumpstart in addition to building out the technical divisions at InvestorsAlley and Phinaz Media Group. Nowadays Derrick spends his time reading, with his wife, and working on his podcast The Future of Work Project.
• Julian Prokay, Principal Engineer: A veteran of the SaaS space with experience working on both student systems and construction management software. In his free time, he enjoys history podcasts and fantasy literature.
• Tony Nguyen, Engineering Manager: Tony is an engineering and platform leader with 25+ years of leadership experience at companies like Sony PlayStation Network, Intuit TurboTax, and ServiceNow. He thrives at building products, scaling teams, and leading organizations, but more so building people. He believes the best leadership and engineering comes from bringing your full identity to work. For him that's faith, family, and sports! Outside of work, you can catch him on the couch with his 3 adult children watching anime, going to Disneyland, or having game nights.
• Ron Alexessen, Engineering Manager: With experience at Hewlett-Packard, New Relic, Rackspace, and consulting agencies, Ron has built teams and shaped technical culture across different environments. He's passionate about AI-enabled development as a force multiplier and building solutions that create real business impact. Outside work, he boulders, runs, rides gravel bikes, and co-parents active teenagers, embracing structured chaos in all of it.
• Newton Truong, Engineering Manager: Newton joins Counterpart with 7+ years of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family.
• John Mendez, Engineering Manager: John has experience working at companies of all sizes. He enjoys startups and small-to-medium businesses, where he can wear multiple hats and help deliver solutions. Outside of work, he stays busy with his four kids and their activities. He also makes time to stay active by working out at home and running or walking with his dog.

COUNTERPART'S VALUES

• Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
• Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met.
• Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Leverage AI ruthlessly. We measure success by outcomes, not lines of code written. Use every available AI tool to ship faster and think more strategically.
• Practice Omotenashi ("selfless hospitality") - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
• Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
• Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

WE OFFER

1. Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones.
2. Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
3. Paid Vacation and Time Off
4. Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance.
5. Computer - We reimburse you for your locally procured MacBook Pro. If you are still with the company after one year, it is yours to keep!

Our estimated pay range for this role is USD $90,000 - $110,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work, regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

The Role:

We are seeking an experienced Technical Lead to oversee a cross-functional team responsible for platform maintenance and light feature evolution. This role is ideal for a technical leader coming from a frontend, backend, or mobile engineering background who can effectively guide cross-functional teams and collaborate across the broader platform ecosystem.

The ideal candidate will bring deep expertise in at least one primary engineering discipline while maintaining strong architectural awareness across frontend, backend, mobile, and cloud infrastructure environments. This role requires excellent communication skills, strong technical judgment, and the ability to partner closely with both engineering teams and client stakeholders.

Key Responsibilities:

• Lead and coordinate a distributed team of frontend, backend, mobile, and DevOps engineers
• Provide architectural guidance across all layers of the platform
• Drive technical decision-making and ensure alignment with the client’s engineering guidelines and product roadmap
• Conduct code reviews and enforce coding standards and best practices
• Serve as the primary technical point of contact between the delivery team and client stakeholders
• Identify technical risks and proactively propose mitigation strategies
• Facilitate sprint planning, standups, and retrospectives in collaboration with project management
• Support cross-functional collaboration across frontend, backend, mobile, and infrastructure teams

Required Skills:

• 8+ years of hands-on software engineering experience
• 3+ years in a technical lead, staff engineer, or architect-level role leading cross-functional teams
• Strong hands-on engineering experience in at least one primary domain:
  • Frontend engineering (React / Next.js)
  • Backend engineering (Node.js / Fastify)
  • Mobile engineering (React Native)
• Working understanding of adjacent disciplines across frontend, backend, mobile, and cloud infrastructure environments
• Familiarity with modern cloud infrastructure and deployment environments such as Kubernetes and Cloud Run. Hands-on DevOps expertise is not required, but candidates should understand the infrastructure supporting the applications they work on
• Strong communication skills and ability to collaborate effectively across US time zones

Nice to Have:

• Exposure to technologies such as Elasticsearch, Redis / Valkey, and headless CMS platforms like Sanity
• Prior experience in sports, media, or entertainment platforms
• Experience with CI/CD pipelines and infrastructure-as-code
• Familiarity with performance optimization and caching strategies at scale

Employment Type:

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

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

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

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

Responsibilities

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

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

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

Preferred Qualifications

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

Role Description

Dropbox is looking for a 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

We’re building production GenAI features and looking for a staff software developer with strong engineering skills and a passion for building scalable AI systems. You’ll contribute to the design and delivery of GenAI features, collaborate closely with technical leads and senior stakeholders, and play a key role in maintaining technical quality and scalability across a feature area.

Own AI-enabled components end-to-end and deliver measurable improvements in quality and reliability. You operate independently, drive design decisions within your area, and help set strong engineering standards through reviews and mentorship.

🔧 What you’ll do

• Own delivery for significant features or systems: clarify requirements, design the solution, execute, ship, and iterate.
• Build and maintain reliable services and workflows that support AI features in production.
• Define how quality is measured for your area (success metrics, test strategy, evaluation approach) and automate it wherever possible.
• Run structured experiments, interpret results, and translate learnings into product improvements.
• Improve operational readiness: deployment automation, monitoring/alerting, incident follow-up, and performance/cost optimizations.
• Mentor teammates through design feedback, code reviews, and practical guidance.

🎯GenAI expectations

• Solid working knowledge of how modern AI applications are built and evaluated (you may not be a specialist, but you understand the core concepts and trade-offs).
• Strong learning speed: can evaluate new models/tools, assess feasibility, and recommend a path forward based on evidence and ROI.
• Builds solutions that are safe and compliant by design (privacy, data handling, safeguards), partnering with Legal/Security as needed

✅ Required skills & knowledge

• 6+ years in software engineering.
• 3+ years building and shipping production software in product teams.
• Bachelor’s in computer science, Engineering, or related field.
• Strong software engineering fundamentals and system design.
• Hands-on coding in Python and/or TypeScript (or similar), APIs/services, data pipelines.
• Cloud experience, CI/CD, automated testing, observability; engineers own quality without dedicated QA.
• Experimentation mindset: define metrics, build evals, iterate quickly; willingness to learn GenAI rapidly.

🧩 Nice to Have

• GenAI/LLM: prompt engineering, retrieval/RAG, function/tool-calling, evaluation pipelines, fine-tuning/LoRA, embeddings/vector search.
• LLMOps: experiment tracking, prompt/version control, cost/latency optimization.
• Tools: serverless AWS, LangChain/LangGraph, OpenAI/Anthropic/Azure OpenAI; vector DBs (Pinecone/FAISS/Milvus).
• External contributions (open source, blogs, talks).

🔨 How we work

• We balance exploration with delivery: test ideas quickly, then productionize what works.
• “Done” means quality goals are met; then we keep improving accuracy, cost, and performance.
• The team owns systems end-to-end (build, release, reliability).

🗒️ Note: 

• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

We’re building production GenAI features and looking for a staff software developer with strong engineering skills and a passion for building scalable AI systems. You’ll contribute to the design and delivery of GenAI features, collaborate closely with technical leads and senior stakeholders, and play a key role in maintaining technical quality and scalability across a feature area.

Own AI-enabled components end-to-end and deliver measurable improvements in quality and reliability. You operate independently, drive design decisions within your area, and help set strong engineering standards through reviews and mentorship.

🔧 What you’ll do

• Own delivery for significant features or systems: clarify requirements, design the solution, execute, ship, and iterate.
• Build and maintain reliable services and workflows that support AI features in production.
• Define how quality is measured for your area (success metrics, test strategy, evaluation approach) and automate it wherever possible.
• Run structured experiments, interpret results, and translate learnings into product improvements.
• Improve operational readiness: deployment automation, monitoring/alerting, incident follow-up, and performance/cost optimizations.
• Mentor teammates through design feedback, code reviews, and practical guidance.

🎯GenAI expectations

• Solid working knowledge of how modern AI applications are built and evaluated (you may not be a specialist, but you understand the core concepts and trade-offs).
• Strong learning speed: can evaluate new models/tools, assess feasibility, and recommend a path forward based on evidence and ROI.
• Builds solutions that are safe and compliant by design (privacy, data handling, safeguards), partnering with Legal/Security as needed

✅ Required skills & knowledge

• 6+ years in software engineering.
• 3+ years building and shipping production software in product teams.
• Bachelor’s in computer science, Engineering, or related field.
• Strong software engineering fundamentals and system design.
• Hands-on coding in Python and/or TypeScript (or similar), APIs/services, data pipelines.
• Cloud experience, CI/CD, automated testing, observability; engineers own quality without dedicated QA.
• Experimentation mindset: define metrics, build evals, iterate quickly; willingness to learn GenAI rapidly.

🧩 Nice to Have

• GenAI/LLM: prompt engineering, retrieval/RAG, function/tool-calling, evaluation pipelines, fine-tuning/LoRA, embeddings/vector search.
• LLMOps: experiment tracking, prompt/version control, cost/latency optimization.
• Tools: serverless AWS, LangChain/LangGraph, OpenAI/Anthropic/Azure OpenAI; vector DBs (Pinecone/FAISS/Milvus).
• External contributions (open source, blogs, talks).

🔨 How we work

• We balance exploration with delivery: test ideas quickly, then productionize what works.
• “Done” means quality goals are met; then we keep improving accuracy, cost, and performance.
• The team owns systems end-to-end (build, release, reliability).

🗒️ Note: 

• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Staff Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
• Mentor developers, guide code reviews, and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

• 7+ years of backend or full-stack engineering experience with a strong backend focus.
• 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
• 3+ years working with Typescript / Node.js.
• Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
• Strong practical experience deploying and optimizing production workloads on Kubernetes.
• Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
• Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

• Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
• Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note: 

• Candidates selected for this position will be hired directly by Varicent.
• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders. 
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Staff Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

• Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
• Mentor developers, guide code reviews, and raise engineering quality standards.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

• 7+ years of backend or full-stack engineering experience with a strong backend focus.
• 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
• 3+ years working with Typescript / Node.js.
• Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
• Strong practical experience deploying and optimizing production workloads on Kubernetes.
• Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
• Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

• Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
• Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note: 

• Candidates selected for this position will be hired directly by Varicent.
• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders. 
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

POSITION SUMMARY

As a Staff Engineer at EarnIn, all systems you work on are business-critical to our success.  We manage systems that provide real-time and scheduled money transfers, facilitating the ability to track outcomes, reconcile discrepancies, and respond to returns, chargebacks, and other events. We seek experienced, collaborative, and resourceful Staff-level engineers to join our backend teams.  As a Staff Engineer, you will work cross-functionally with various teams and contribute to the design and development of our backend services. 

This position will be hybrid from our Mexico City office as part of our expanding site with two days a week required in office. EarnIn offers excellent employee benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our headquarters in Mountain View. Our salary ranges are determined by role, level, and location.

WHAT YOU'LL DO

• Drive the design and implementation of new features. Break down complex problems into their bare essentials, translate this complexity into elegant design, and create high-quality, maintainable code.
• Make a meaningful impact on the lives of our community members.
• Design & deliver robust microservice integrations via REST/gRPC APIs using various communication, consistency, and coordination strategies.
• Collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews.
• Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success.
• Estimate and manage team project timelines and risks
• Care passionately about producing high-quality designs and code
• Participate in hiring and onboarding for new team members.
• Lead cross-team engineering initiatives.

WHAT WE'RE LOOKING FOR 

• 7+ years of development experience, delivering value through software in a collaborative environment. 
• Expertise in trade-off analysis for distributed architectures.
• Proficient in at least one modern programming language and the ability to understand more than one - we currently work in C# and Kotlin.
• Familiarity with the clean architecture approach.
• Experience with various data storage systems, including relational and document databases.
• Excellent written and verbal communication skills.
• Being self-motivated and able to work independently with minimal supervision.
• Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline or equivalent industry experience

What you'll do

Staff/Senior Engineer

We're looking for a Staff/Senior Engineer to lead the evolution of Clara’s backend systems and help scale our platform across Latin America. You will combine hands-on development with technical leadership to shape the engineering culture and systems behind Clara’s financial products.

In this role, you will:

• Guide architecture and design decisions for scalable, secure, and reliable backend services
• Write high-quality, maintainable code and set best practices for the engineering team
• Mentor and support the professional growth of mid- and senior-level engineers
• Collaborate closely with Product, Design, and Data to define and deliver end-to-end solutions
• Lead technical planning, code reviews, and project prioritization with a focus on long-term impact
• Champion engineering excellence and foster a culture of ownership, continuous improvement, and knowledge sharing
• Identify and reduce tech debt to improve system performance and team productivity
• Drive adoption of tools and practices that support speed and quality (e.g., CI/CD, Github, observability)
• Stay close to the product to deeply understand customer needs and ensure backend systems meet business goals

Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. 

Must haves:

• 7+ years of backend software development experience, including 1–2 years in a tech lead or staff-level role
• Strong software architecture and system design expertise
• Proven ability to lead through influence, not hierarchy
• Strong proficiency in one or more backend languages (preferably Java) with deep understanding of modern frameworks and development patterns.
• Experience mentoring engineers and elevating team performance
• Solid understanding of distributed systems and data modeling
• Strong AI early adoption at all levels of development, including the ability to design, code, review, and deploy full-stack applications into Clara's workflows, transforming ambiguous ideas into functional tools, accelerating the software construction speed
• Working proficiency in English and Portuguese
• Experience or interest in AI tools to automate workflows
• Excellent communication skills and ability to collaborate cross-functionally

Nice to haves:

• Experience with AWS, Metabase, or Databricks
• Exposure to SQL or Python for backend or data use cases
• Experience in fintech, payments, or credit infrastructure
• Basic proficiency in Spanish or a desire to learn it
• A good sense of humor

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY:

At Clari + Salesloft, our Staff Software Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing team where in this role, you will drive the architecture, strategy, and evolution of our platform, ensuring systems are scalable, resilient, and operationally excellent at enterprise scale.

On a day-to-day basis, you will collaborate with engineering, product, and operations leaders to solve complex, cross-team challenges and deliver platform capabilities that underpin critical business workflows.

Specifically, you will:

• Provide technical leadership in designing and evolving the architecture of the configuration-driven data platform that powers ML, AI, analytics, and forecasting products at enterprise scale.
  
  
• Define and drive long-term strategy for platform reliability, scalability, observability, and operational excellence across distributed systems, data pipelines, and transformation frameworks.
  
  
• Lead complex cross-system investigations and guide teams in resolving critical production challenges while implementing long-term structural improvements.
  
  
• Architect and drive the development of platform-level frameworks, services, and tooling that enable engineering teams to build, operate, and scale data-driven products efficiently.
  
  
• Influence platform architecture and technical direction across multiple teams, ensuring data pipelines and workflows remain resilient, maintainable, and scalable as the company grows.
  
  
• Mentor senior engineers and act as a technical multiplier by establishing standards, guiding complex problem-solving, and fostering a culture of operational excellence.

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to bring deep technical expertise, a passion for problem-solving, and a customer-first mindset. We foster an open, collaborative environment and are seeking engineers who enjoy tackling complex operational challenges and improving systems beyond the routine. You will have an opportunity to make a difference. 

WHAT WE’RE LOOKING FOR:

We are seeking a visionary software engineer who is passionate about shaping the architecture, strategy, and operational health of enterprise-scale data platforms. You excel at defining technical standards, guiding teams, and ensuring platform resilience, maintainability, and operational excellence at scale.

If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Staff Software Engineer is the career path for you!

THE TEAM:

Our  Clari + Salesloft Data Platform team is comprised of seasoned and up-and-coming software development professionals  who are all aligned on one vision and mission:

• Vision: Fundamentally transform the way buyers and sellers drive repeatable outcomes
• Mission: Bring science to the art of sales 

The Data Platform team consists of engineers who build and evolve the core platform that powers our products. The team focuses on enabling scalable data processing and providing the foundation that allows product teams to deliver intelligent insights to customers. Engineers on this team collaborate across engineering, product, and support to solve complex distributed systems challenges, helping ensure the platform scales efficiently with the company’s growth.

THE SKILL SET:

• 8+ years of experience building reliable, scalable production software in Java within microservice-based environments..
• Strong understanding of distributed systems and experience troubleshooting and operating production systems.
• Proven ability to improve system reliability, performance, and operational excellence, including incident resolution and root-cause analysis.
• Experience with cloud platforms such as AWS
• Solid experience with relational (PostgreSQL preferred) and NoSQL databases (e.g., MongoDB), including data modeling and performance optimization.
• Demonstrated ability to use observability systems (metrics, logging, tracing, monitoring, alerting) and common Java testing frameworks.
• Excellent collaboration and communication skills across engineering, product, and support teams.

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

#LI-Remote

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com  or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

Staff Software Engineer – Mexico City, Mexico (Hybrid)

About Us

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

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page  https://international.nubank.com.br/careers/.

About the role

Our Engineering team helps Nu create and scale the technology that powers the best financial products in Latin America. We strive for state-of-the-art software development practices, using a variety of technologies and architectures to build resilient, secure, and highly scalable systems.

As a Staff Software Engineer, you will play a key role in shaping the technical direction of multiple teams, driving the design and evolution of large-scale distributed systems that serve millions of customers. While we value experience with our tech stack, we are confident that engineers who are eager to learn will be successful here — and we will teach you Clojure as our main backend language.

You will build and evolve:

• Horizontally scalable microservices written mostly in Clojure, using Finagle and leveraging functional programming techniques and hexagonal architecture
• High-throughput jobs and inter-service communication using Kafka
• Continuous Integration and Deployment pipelines on AWS
• Data storage solutions using Datomic and DynamoDB
• Monitoring and observability with Prometheus
• Services running as much as possible in Kubernetes

We are a process-light organization that values human interactions. We work in small, independent teams that feel like startups within the company and avoid unnecessary coupling and centralization whenever realistic. We understand that execution is key to success and continuously optimize our processes to remove bottlenecks.

You'll be responsible for

• Working with large-scale distributed systems and understanding their broad architecture and trade-offs
• Setting technical direction for multiple teams, ensuring alignment with Business Areas and architecture strategies
• Driving pragmatic innovation while ensuring resilient, secure, and flexible solutions that scale across products and geographies
• Mentoring engineers across teams and helping maintain a high technical bar organization-wide
• Writing, testing, instrumenting, documenting, and maintaining high-quality code
• Pairing and participating in code reviews to support the growth of others in and around your teams
• Collaborating closely with Product, Design, and Engineering leaders to build new end-to-end experiences
• Ensuring comprehensive observability, performance monitoring, and robust error handling across team services
• Participating in on-call rotations for your team and responding to incidents as necessary
• Focusing primarily on backend applications, while being open to contributing to mobile and frontend development according to business needs

We are looking for a person who has

• At least 8 years of experience developing digital products in complex environments
• Deep expertise in distributed systems, microservices architecture, and cloud technologies
• A proven track record of designing and delivering large-scale systems that serve thousands or millions of users
• A strong background in object-oriented or functional programming languages, with the ability to work across multiple languages
• Demonstrated ability to lead technical initiatives across multiple teams, even without direct authority
• Experience mentoring senior engineers and raising the technical bar across organizations
• Practical knowledge of agile software development methodologies and prior experience with CI/CD
• Strong communication skills to identify and prevent risks, and explain trade-offs clearly to both technical and non-technical stakeholders
• Advanced English skills

Location

Mexico City, Mexico.

Our Benefits

Our benefits are designed to support your wellbeing, development, and life outside of work. For Mexico, they include:

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

Even if you feel you don't meet every qualification, we encourage you to apply — your unique skills and experiences may be just what we're looking for, and we're excited to learn more about what you can bring to our team.

Work Model for this Role

Hybrid 2–3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit  https://building.nubank.com/nu-hybrid-work-model/.

Job Summary

Kairos Power is seeking a highly motivated Regulatory Compliance Engineer III with a background in nuclear operations. In this role, you will collaborate with engineering operations, site integration, design, safety analysis, and licensing teams to develop facility operating solutions that align with Kairos Power’s Mission and comply with Nuclear Regulatory Commission (NRC) regulations, license conditions and licensing commitments.  Additionally, you will be a key interface for communications between Kairos Power facility operations and the NRC staff providing oversight of the facility.

This role will be onsite in Oak Ridge, TN. 

Responsibilities

• Provide regulatory guidance and support to the operations team to develop facility operation strategies and implement programs and procedures and to ensure compliance with NRC regulations, license conditions and commitments is maintained.
• Serve as the point of contact for NRC personnel performing oversight of facility operations.
• Lead preparation for, performance of and responses to NRC inspections of facility operations.
• Maintain facility Technical Specifications, FSAR and other licensing basis documents.
• Support 10 CFR 50.59 and 10 CFR Part 21 screenings and evaluations.
• Identify potential regulatory risks and develop mitigation strategies.
• Perform event reportability determinations and develop NRC event notifications in accordance with regulatory requirements and license conditions.
• Prepare correspondence with the NRC including periodic reports, responses to inspection findings, requests for information, licensee event reports, and operator licensing applications.
• Other duties as assigned.

Qualifications

• B.S. degree in Nuclear , Mechanical, Electrical, Civil Engineering, or related field.
• 3+ years of experience in nuclear facility operations, with NRC-licensed operator (SRO or RO license) experience preferred.
• Regulatory compliance experience is not required – we are willing to provide training, experience interacting directly with the NRC is preferred.
• Experience developing compliance-based programs and procedures - Procedure Professionals Association (PPA) certification preferred.

Knowledge, Skills & Abilities

• Understanding of NRC regulations (10 CFR Part 50, 10 CFR Part 21, etc.) and regulatory guidance (regulatory guides, inspection procedures, etc.).
• Demonstrated technical writing ability.
• Knowledge of operational protocols and implementation of operating procedures.
• Demonstrated coordination skills including advisory, relationship and stakeholder management skills fit to handle a small / start-up environment.
• Demonstrated ability to earn the trust of team members and management.
• Eager to learn and develop skills in nuclear compliance, with a proactive and growth-oriented mindset.
• Entrepreneurial, adaptable and collaborative, and fully committed to Kairos Power’s mission.
• Strong team player with exceptional communication and interpersonal skills, effective at all organizational levels.
• Proactive and accountable, driven to meet milestones while embracing challenges with respect and determination.
• Ability to work with highly collaborative team.
• Ability to problem solve quickly and efficiently.
• Ability to proactively collect, manage and transfer knowledge.
• Ability to seek different and novel ways to create efficiencies when working on problems, challenges and issues.
• Prioritizes and ensures safety of oneself and others.

Physical Demands

• Ascending or descending ladders, stairs, scaffolding, ramps, scissor lifts, articulated boom lifts and the like.
• Setting up and transferring temporary structures (e.g. scaffolding, ladders).
• Moving self in different positions to accomplish tasks in various environments including tight and confined spaces.
• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Moving about to accomplish tasks or moving from one worksite to another.
• Adjusting, moving, transporting, installing, positioning, or removing objects up to 30 pounds in all directions.
• Communicating with others to exchange information.

Environmental Conditions

• General office environment.
• Outdoor environment or elements such as precipitation and wind.
• Noisy environments.
• Assessing the accuracy, neatness and thoroughness of the work assigned.
• High-concentration, demanding and fast-paced.
• Manufacturing/Industrial Environments.
• Radiological/Controlled Environments.

Safety and PPE

• Reading and interpreting hazardous warning signs.
• Reporting issues with equipment or unsafe conditions.
• Color identification: detecting, distinguishing, recognizing and identifying colors.
• Wearing proper PPE, to include face mask, face shields, gloves, safety shoes, etc.

Travel

• Some travel may be required, up to 35%

Additional Requirements

• Requires schedule flexibility occasionally.
• Requires non-standard work-week hours occasionally,
• Requires extended hours to support launch and critical project timelines occasionally.

• Onsite: #LI-Onsite