→ Do you believe in game-changing innovations and are excited about reimagining an 800 billion dollar industry?

→ Do you believe that there’s always a better way to solve a problem?

→ Do you enjoy solving hard problems that impact an entire organization?

If so, nice to meet you! We are Loadsmart and we have recently created a new Staff Backend Engineer position to help us optimize top talent at our growing company (we grew from 150 to 450 in the last 18 months) with a recent Series C of $90M. We are seeking an innovative, agile, data-oriented Staff Backend Engineer who thrives in a dynamic and fast-paced global company.

LOCATION: Remote from anywhere in Latin America

What you get to do:

• Lead the definition and delivery of services and tools that help developers build data platform solutions.
• Design, implement and maintain reliable and scalable data infrastructure, including design and development of scalable data pipelines to capture, store, process, and publish platform telemetry for performance and utilization analytics.
• Support the development and build the automation of system performance and metrics.
• Write clear solution specifications that provide enough detail for the data engineering team to fully understand the scope of functionality and business drivers so they can estimate and deliver in a timely manner with high quality.
• Proactively recognize and assess the need for scalable data platform capabilities working with other engineering and product teams, product operations, and other stakeholders.
• Collaboration with internal data platform teams to utilize existing data products, ingestion patterns, or automation to avoid manual/specific development while contributing to the enhancement and creation of these shared assets when gaps are identified on the end-to-end technical data lifecycle and corresponding data technology stack for their data domain and have a deep understanding of the company's technology stack.
• Ensure data quality and deploy secure and well-tested software that meets privacy and compliance requirements; develop, maintain, and improve CI / CD pipeline.
• Adhere to and advocate for data engineering best practices (e.g., technical design, technical design review, testing, monitoring & alerting, checking in code, code review, documentation). Develop Technical Documentation and materials.
• Partner with functions and divisions to ensure data capabilities roadmap, operating model, and governance principles are best serving the organization's data strategy and are effectively activated across the company. 

You have experience:

• 5+ years of experience leading/architecting complex data engineering solutions
• Deep and hands-on experience designing, planning, implementing, maintaining, and documenting cost-effective, reliable, and scalable data infrastructure, data pipelines, and data products in complex environments.
• Expert-level experience in working with Python and data related technologies
• A demonstrable ability to solve complex data engineering problems.
• Knowledge and skills in one or more technologies such as Airflow, Kinesis, EMR, Spark, (Iceberg, Hudi, Delta lake), redshift, glue, Athena, S3, DBT, PostgreSQL, SQL, NoSQL
• Strong knowledge of Cloud Computing, Containerisation, CI/CD, and DevOps
• Quality vs speed approach, preferable with testing experience of some of the most common tools in the market (PyTest, Nose, Behave, etc.)
• Able to function as an expert advisor, inspiring leader who provides guidance to teams and individuals as well as facilitator and influence on engineering decisions within tactical and strategic instances
• Excellent communication skills, both written and verbal. Ability to communicate technical and functional vision and direction to multiple audiences
• Platform Service Management, alerting and monitoring to ensure high reliability in compliance with Cyber Security Standards and Privacy Policies
• Data Lifecycle Management through Global Metadata and Access Control Management.

Your colleagues would describe you as:

• Someone passionate about data, who knows how to manage
• Data Solutions from beginning to end with a solid ill to deliver best-in-class solutions and foster the data-driven mindset.
• Developers respect the choices you make because it is based upon data, sound research, and you create value
• Skilled at leading cross-functional teams to the successful execution of complex project plans on schedule
• A profound problem solver with the ability to analyze tough business/technical problems and iteratively deliver high-quality solutions
• Decisive, results-driven optimist with a strong sense of urgency
• Someone who has the vision to create data solutions that brings value to the company and is willing to roll up your sleeves to make it happen.A strong believer that great teams are necessary to create world-class products.
• Willing to invest the time to build strong relationships and help others on the team grow.

• Competitive base salaries - we believe in rewarding top talent 

• Extremely competitive Equity package

• Signing bonus - because you will work remotely, you will use it as you like: to set up your home office, get a new laptop or buy that amazing coffee machine to make your days happier :)

• Training budget - we will support you in developing your skills.

• Unlimited time off

• Wellbeing initiatives

• Lots of engagement activities;

• An opportunity to work with a diverse, global community of 450+ Loadies united by our core value of Teamwork 

• Regular recognition, feedback, and transportation across all levels.

• Opportunities for you to join our community service initiatives.

At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.