
Lyft · Mexico City
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...
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 Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's
primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI
agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support
interaction into a moment of genuine connection.
As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI
Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations,
accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work
cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user
behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many
others.
align on prioritization and solutions
organizations
Please submit your resume in English.
SOLUTIONS ENGINEER – TECHNICAL CONSULTING Smartly is looking for a Solutions Engineer to join our Technical Consulting team in Mexico City. In this role, you'll help enterprise customers and agency partners solve complex technical challenges by designing, building, and supporting integrations, tooling, and custom solutions that extend the capabilities of the Smartly platform. You'll work closely with Technical Consulting, Product, Engineering, and customer technical teams to deliver scalable solutions that improve customer success and strengthen our platform. WHAT YOU WILL DO * Design, build, and maintain custom integrations between the Smartly platform and customer or agency systems using APIs and cloud technologies. * Deliver technical solutions that address complex customer requirements, including workflow automation, reporting, DAM, and data connectivity integrations. * Partner with customer engineering, operations, and implementation teams to support solution design, deployment, troubleshooting, and ongoing optimization. * Develop, maintain, and improve Technical Consulting-owned applications and tooling, including internal platforms and operational solutions. * Improve the reliability, scalability, and maintainability of existing solutions by reducing technical debt and modernizing legacy implementations. * Support infrastructure and deployment activities across Technical Consulting-owned systems, including Kubernetes, AWS, APIs, CI/CD pipelines, and cloud services. * Contribute to engineering best practices through documentation, testing, code reviews, monitoring, and operational improvements. * Investigate and resolve complex technical issues, serving as an escalation point for customer implementations and platform integrations. * Collaborate with Product and Engineering teams to develop tactical technical solutions that accelerate customer adoption and address strategic customer needs. WHAT WE ARE LOOKING FOR * Strong experience in software engineering, solutions engineering, or technical consulting. * Experience designing and building APIs, system integrations, and cloud-based applications. * Hands-on experience with modern cloud infrastructure and deployment technologies such as AWS, Kubernetes, CI/CD pipelines, and containerized applications. * Strong programming skills and the ability to develop maintainable, production-quality solutions. * Excellent problem-solving and analytical skills, with the ability to work through technical ambiguity and complex customer requirements. * Strong communication and collaboration skills, with experience working across customer-facing and engineering teams. * Experience supporting enterprise software implementations, integrations, or technical consulting engagements. * Experience in AdTech, MarTech, SaaS platforms, digital advertising technologies, or enterprise integration environments is a strong plus. WHAT WE OFFER YOU At Smartly, we offer a place where you can advance your career. Here, you'll find: * An Inclusive Global Culture: Join a team of over 750 Smartlies, representing more than 60 nationalities across 24 locations in 13 countries. We cultivate a culture built on trust, transparency, and open feedback, where diverse perspectives are valued and encouraged. * Global Impact: Contribute to a company making a global impact, directly influencing our customers' success and business growth. * Focus on Wellbeing: We prioritize your health with healthcare packages, mental health services, and a commitment to work-life balance through paid holidays and family leave. * Comprehensive Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and career development opportunities. * Flexible Hybrid Workplace: Experience a hybrid work model, balancing office collaboration with remote work, and the option to work abroad for up to 30 days annually. Apply Now and Build Your Future with Smartly! Curious what it's like to work at Smartly? Visit our Careers page to see how we grow, collaborate, and make impact together. #LI-HYBRID ABOUT SMARTLY Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it. Visit Smartly to learn more. The processing of your information is described in our Candidate Privacy Notice.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft AV brings the autonomous future to life by matching our community of riders with self-driving vehicles to meet their transportation needs today. The program is powered by a technical team innovating to build new features, experiment, and evolve approaches for emerging business needs. At the same time, we prioritize production quality because our customers put their trust in us for safety and reliability. As a Software Engineer for Autonomous Vehicles, 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 while being open to change through constant experimentation in an ambiguous emerging product. 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 * 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 * Can help lead large projects from idea to positive execution * Unblock, support and communicate with internal partners to achieve results EXPERIENCE: * BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience * Experience in distributed systems * Experience working with databases, relational or NoSQL * Python or Golang experience preferred but not required * Write clear, scalable and clear design documentation * Design, build and improve a set of team owned components Please submit your resume in English.
We’re looking for a Software Engineer to join the PM Benchmarking team in Mexico City. This team designs and executes competitive performance testing that benchmarks MongoDB against alternative technologies, while also building the reusable tooling, frameworks, and engineering practices needed to scale that work over time. This role is a strong fit for an engineer who wants meaningful hands-on coding time, enjoys performance analysis, and is motivated by turning ambiguous technical questions into clear plans, repeatable systems, and high-impact outputs. You will work across the full lifecycle of a benchmark initiative: design, code, run, analyze, and communicate findings. You will also help improve the internal tooling and engineering workflows that make this work faster, more reliable, and more useful across MongoDB. WHAT YOU’LL DO * Design performance and benchmarking workloads that reflect realistic customer or product scenarios * Build and improve production-quality internal tooling, test harnesses, automation, and reusable workload components * Write and maintain code primarily in Python, while adapting to adjacent tools and technologies as needed * Run benchmarks across cloud environments and database platforms, with attention to fairness, noise reduction, cost, and repeatability * Analyze latency, throughput, scalability, and infrastructure signals to identify bottlenecks and explain results clearly * Translate broad business or engineering questions into scoped technical plans, success criteria, and execution milestones * Partner closely with Engineering, Product, Sales, and other stakeholders to ensure testing work is relevant and actionable * Produce clear technical documents, reports, and summaries that connect findings to product decisions and field value * Help shape team standards for documentation, onboarding, prioritization, and benchmark execution as the team continues to mature * Mentor peers where appropriate and contribute to a collaborative, low-ego engineering culture WHAT WE’RE LOOKING FOR * 5+ years of experience building, debugging, and improving distributed and/or highly concurrent software systems * Strong software engineering fundamentals, including writing maintainable code, profiling performance, and debugging complex issues * Hands-on experience with performance testing methodologies such as load, stress, latency, or scalability testing * Experience designing and implementing benchmarking or performance-validation workflows * Strong coding skills in Python or a similar language, plus the ability to learn new stacks quickly * Strong hands-on experience with at least one of the three major cloud providers used for this role, AWS, Azure or GCP, including the practical trade-offs involved in running reliable applications at scale * Strong hands-on experience with PostgreSQL, MySQL, Aurora, Cassandra, or other competing data platforms * Ability to reason about relational and document data models, distributed systems behavior, and infrastructure bottlenecks * Strong written and verbal communication skills, especially when explaining technical findings to different audiences * Ability to work with ambiguity, define structure where needed, and operate with a high degree of ownership and autonomy * Bachelor’s degree in Computer Science or a related field, or equivalent practical experience NICE TO HAVE * Experience with MongoDB architecture, MQL, and MongoDB performance tuning * Experience with CI/CD systems and integrating automated tests into engineering workflows * Experience creating reusable technical documentation, runbooks, or internal playbooks SUCCESS IN THIS ROLE IN YOUR FIRST 30 DAYS * Build a clear understanding of the team’s current workloads, tooling, roadmap, and stakeholder landscape * Complete onboarding and identify the main technical systems, docs, and knowledge gaps relevant to your work * Start contributing code, review feedback, and execution support on active benchmark efforts IN YOUR FIRST 90 DAYS * Independently contribute to the design, coding, execution, and analysis of multiple benchmark initiatives * Improve at least one area of the team’s tooling, documentation, or execution workflow * Build strong working relationships with key cross-functional partners IN YOUR FIRST 6 MONTHS * Own meaningful benchmark or tooling work from scoping through delivery * Improve repeatability, clarity, or efficiency in how the team designs, runs, or reports on tests * Contribute to mentorship, documentation, or process improvements that increase team autonomy IN YOUR FIRST 12 MONTHS * Be a trusted technical contributor across benchmark design, tooling, and analysis * Influence how the team prioritizes and scales its work * Expand your scope through technical leadership, cr ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. REQ ID: 2273465440