[All remote jobs](https://jobicy.com/jobs.md)[![TRM Labs logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/34aa038c-221.png)](https://jobicy.com/company/trm-labs.md)[TRM Labs](https://jobicy.com/company/trm-labs.md) # Senior or Staff Software Engineer, Data Platform (Brazil) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/trm-labs.md)ShareRemote from[Brazil](https://jobicy.com/job-region/brazil.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished19 Oct 2026Apply before18 Nov 2026Listing views49Application actions4Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. TRM Labs is seeking a senior or staff-level software engineer to build mission-critical data-platform services for blockchain intelligence products. The role focuses on real-time ETL, distributed data systems, scalable storage and querying, and reliable database infrastructure operating at petabyte scale. The engineer will work closely with data scientists, backend engineers, and product managers while owning systems from architecture through production operations. The environment is explicitly high-velocity and expects strong ownership, adaptability, applied AI fluency, and frequent cross-functional communication. The role is remote for candidates in Brazil. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a highly senior systems role requiring deep expertise in distributed data architecture, streaming, cloud infrastructure, and reliability at petabyte scale. The stated rapid pace, shifting priorities, and end-to-end ownership further increase its complexity. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$170,000US market range (per year)$140k–$210k0$231.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence is inferred from the full-time senior/staff engineering scope; the figures shown are estimated USD annual-market benchmarks, not employer-provided compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Apache Kafka](https://jobicy.com/jobs?search_keywords=Apache%20Kafka.md)[Apache Flink](https://jobicy.com/jobs?search_keywords=Apache%20Flink.md)[Apache Airflow](https://jobicy.com/jobs?search_keywords=Apache%20Airflow.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Datadog](https://jobicy.com/jobs?search_keywords=Datadog.md)[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[ETL pipelines](https://jobicy.com/jobs?search_keywords=ETL%20pipelines.md)[Data modeling](https://jobicy.com/jobs?search_keywords=Data%20modeling.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md) Sample interview questionsHow would you design a real-time pipeline for ingesting and transforming blockchain transaction data at petabyte scale?I would separate ingestion, durable event storage, stream processing, and serving layers. I would use partitioned immutable events, schema evolution controls, idempotent consumers, and a streaming engine such as Flink or Spark for enrichment. I would also define data-quality checks, replay procedures, lineage, and latency/error SLOs before scaling the platform. Describe a time you improved the reliability or operational efficiency of a database platform. I would explain the initial bottleneck, establish measurable reliability or performance targets, and automate repetitive operational steps such as provisioning, capacity changes, backups, and alert remediation. I would validate the result through load testing, monitoring, runbooks, and a reduction in manual interventions or incident duration. What trade-offs would you consider when choosing between Iceberg, BigQuery, Trino, and a transactional database for analytics workloads? I would begin with access patterns, latency expectations, concurrency, data volume, cost, and consistency needs. Iceberg plus object storage is strong for open large-scale lakehouse data, Trino supports federated interactive queries, BigQuery provides managed analytics, and transactional stores fit low-latency operational workloads. In practice, I would use clear boundaries and avoid forcing one system to serve every workload. How do you deliver quickly in an ambiguous environment without compromising production quality? I clarify the customer outcome and define a small, testable first version with explicit non-negotiable reliability and security requirements. I ship the smallest useful capability, instrument it, gather stakeholder feedback, and iterate while documenting decisions and risks. This preserves momentum while making quality and operational readiness visible. How have you used AI tools to improve engineering effectiveness? I use AI to accelerate repeatable tasks such as drafting test cases, exploring unfamiliar code, summarizing incident context, and generating initial documentation or query ideas. I validate all outputs through code review, tests, security checks, and domain expertise. The goal is to increase leverage while retaining engineering judgment and accountability. Opportunity details ## About this role. ### Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM’s platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM’s products and services. As a Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people. The impact you will have here: * Build highly reliable data services to integrate with dozens of blockchains. * Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time. * Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. * Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability. * Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. What we’re looking for: * Bachelor’s degree (or equivalent) in Computer Science or a related field. * A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment. * Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. * Versatility that spans the entire spectrum of data engineering in one or more of the following areas: In-depth experience with data stores and engines such as Iceberg, Trino, BigQuery, and StarRocks, and Citus. * Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc. * Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink. * Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog. * Proven ability in loading, querying, and transforming extensive datasets. Learn about TRM Speed in this position: * Build a scalable engine to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc. Enabling tasks to be faster next time and reducing dependency on a single person! * Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months! * Identify first version, a.k.a., “skateboards” for projects. For instance, building observability dashboard within a week and later gathering feedback from stakeholders to identify more needs or bells & whistles to add to the dashboard. ### Application Instructions If you’re interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team. Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your skills and qualifications for the role. If you send your resume directly to someone at TRM, we can’t guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure your application will be considered. ### Interviewing with TRM Our process is designed to understand how you think, solve problems, and deliver impact, while allowing you to evaluate TRM. Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview. * Recruiter Intro: Qualifications, motivations, and alignment with the role. * Hiring Manager: Deep dive into your relevant experience, skills, and impact. * First Round: 1–2 interviews focused on the skills most critical to the role. * Final Round: Hands-on case study. This is usually a panel-style session where we go deeper into your craft, problem-solving, and alignment with TRM. * References: Former colleagues who can provide insight into your work and impact. * Offer: Congrats! Your recruiter will present the offer and compensation details. * Welcome to TRM: We’re excited to build a safer world with you! Your recruiter will share your specific interview plan and preparation guidance along the way. ### AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: * Accelerate repeatable workflows * Structure and solve problems * Improve output quality * Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. ### Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves FAST. We are a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: * Priorities and targets to change quickly * Operating with a high degree of ambiguity * A high level of personal ownership and accountability * Close collaboration across teams and functions * Frequent, high-touch communication * Creative problem-solving and out-of-the-box thinking * A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires thriving in ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure-test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. ### Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. * Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. * Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. * Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. ### Join our Mission At TRM, we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. ### Privacy Policy and Additional Information By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our [Privacy Policy](https://www.trmlabs.com/policies/privacy-policy). We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at [privacy@trmlabs.com](mailto:privacy@trmlabs.com). To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this [form](https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog). No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [form](https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog). ### Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Show more [Apply now >](https://jobicy.com/jobs/155915-senior-or-staff-software-engineer-data-platform-brazil.md) > Annual salary information is not provided for this position. 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