TRM Labs · 2 days ago
Senior or Staff Software Engineer, Data Platform
San Francisco Bay Area
Part-time
Remote
Senior Level, Lead/Staff
$200K/yr - $255K/yr
8+ years exp
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Responsibilities
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.
Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc.
Enable 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, build an observability dashboard within a week. Gather feedback from stakeholders after to identify more needs or bells and whistles to add to the dashboard.
Qualification
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Required
A Bachelor's degree (or equivalent) in Computer Science or a related field.
A proven track record, with 8+ 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 such as Icerberg, 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.
Benefits
May be eligible to participate in TRM’s equity plan
Annual Company Offsite
Company
TRM Labs
TRM helps financial institutions, crypto businesses and federal agencies detect and investigate crypto-related financial crimes.
201-500 employees
H1B Sponsorship
TRM Labs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (3)
2021 (2)
Funding
Current Stage
Growth StageTotal Funding
$149.9MKey Investors
Thoma BravoJP Morgan ChaseTiger Global Management
2022-11-09Series B· $70M
2022-04-04Series B· undefined
2022-02-28Series Unknown· undefined
Leadership Team
Esteban Castaño
Co-Founder & CEO
Rahul Raina
Co-Founder & CTO
Recent News
2024-11-20
Company data provided by crunchbase
