About Solidus Labs
At Solidus, we are shaping the financial markets of tomorrow by providing cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets, prediction, and crypto markets.
With over 20 years of experience in developing Wall Street-grade FinTech, our team delivers innovative solutions that financial institutions and regulators worldwide rely on to detect, investigate, and report market manipulation, financial crime, and fraud. Headquartered on Wall Street, with offices in Singapore, Tel Aviv, and London, we safeguard millions of retail and institutional entities globally, monitoring over a trillion events each day.
The Role
We’re looking for a strong Software Engineer with experience in Data Engineering. Someone who is proficient in building robust, scalable, maintainable and thoroughly monitored data pipelines on cloud environments.
As an ambitious start-up in an extremely dynamic space, we pride ourselves on being independent, accountable, and organized, with a self-starter attitude and a willingness to get our hands dirty with day-to-day work that might fall outside our official scope, while keeping an eye on our goals and the big picture.
Responsibilities:
- Design and implement customer-facing integrations of various asset types into the data pipelines
- Design and develop the data team's micro services - Java services running on K8S and in AWS.
- Develop, design, and maintain end-to-end ETL workflows, including data ingestion and transformation logic across multiple data sources.
- Enrich financial data through third-party data integrations, FIX, CSV, JSON, and other formats - including market (e.g., order book) and reference (e.g., company information) data.
- AI-first solution approach. Coding using AI agents, such as Claude, for a given problem context, with adherence to the architectural and coding conventions of the organization
- Plan and communicate integrations with other teams that consume the data and use it to create insights. Strong collaboration with product and customer facing teams
- Tackle data duplication, velocity, schema adherence (and schema versioning), high availability, data governance, and more.
Requirements:
- BSc. in Computer Sciences.
- Strong background as a software engineer with at least 3+ years of experience with Java.
- 5+ years in data engineering and data pipeline development on high-volume, low-latency production environments.
- Experience with monitoring systems (Prometheus, Grafana).
- Experience with data-engineering cloud technologies, such as Apache Airflow, K8S, Clickhouse, Snowflake, Redis, Caching technologies, and Kafka.
- Proven experience with relational,non-relational, and time series DBs. Proficient in SQL and query optimizations.
- Experience with designing infrastructure at scale to maintain high availability SLAs.
- Curiosity, ability to work independently, and proactively identify solutions.
- Excellent verbal and written communication skills in a remote environment, working cross-functionally.
- Advantage - Experience working in fintech, crypto, or trading industries, and familiarity with FIX and market data.
Skills Required
- BSc in Computer Sciences
- 3+ years of experience with Java
- 5+ years in data engineering and pipeline development
- Experience with monitoring systems like Prometheus and Grafana
- Experience with cloud technologies such as Apache Airflow, K8S, and Snowflake
Solidus Labs Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Solidus Labs and has not been reviewed or approved by Solidus Labs.
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Affordable Benefits — Employer postings advertise health insurance premiums at no cost for employees and families, signaling low out-of-pocket medical costs. The package also highlights equity, unlimited PTO, and wellness perks as part of total rewards.
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Retirement Support — A “robust” 401(k) match is repeatedly emphasized in recent role descriptions. This focus suggests meaningful long-term savings support as a standard component of the package.
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Fair & Transparent Compensation — Employer-provided salary ranges for specific roles and visible bands on public listings indicate that pay ranges are communicated for some positions. This visibility helps set clearer expectations during hiring.
Solidus Labs Insights
What We Do
The category-definer for crypto-native triple T (T3) market integrity solutions - trade surveillance, transaction monitoring, and threat intelligence.
