Senior Software Engineer, Data Solutions

About BroadPeak

BroadPeak’s mission is to enable business users to drive data management, enabling their firms to gain a competitive edge in analytics. We’re focused on commodity trading enterprises with increasing amounts of data to manage, that need to move fast, and deliver sustainable solutions.

We are passionate about the problem: enabling our customers to collect, curate, and make sense of their data.

Job Description

We are looking to add a Senior Software Engineer to our team. As we add to our suite of cloud-based data solutions, this opportunity calls for significant experience with data warehouse technologies. In addition to that we are also looking for industry experience in utilizing machine learning models in the financial domain.

Our engineers don’t just write code: we’re deeply involved in systems architecture, technology selection, UI/UX, and ensuring customers’ success. We strive every day to deliver elegant, scalable solutions to real problems.

An ideal candidate brings their unique experience, interest in the problem, and eagerness to learn, even if you don’t yet have all these skills or technologies on your resume.

How You’ll Contribute

●       Work closely with engineers, analysts, product, infrastructure, support, and customers to understand needs and deliver solutions.

●       Design applications, services, and whole systems.

●       Identify, evaluate, and select technologies (libraries, cloud services, etc).

●       Full-stack development.

●       Troubleshoot and optimize systems in production.

Skills/Technologies

●       Data: SQL RDBMS (RDS PostgreSQL, SQL Server, etc) and data warehouse (Redshift, Snowflake, BigQuery, or otherwise) experience required; Kinesis/Kafka/Elasticsearch/DynamoDB/Redis/etc experience is a plus.

●       Functional programming: Experience with Clojure preferred; interest in and experience with FP (Scala, Rust, Common Lisp, Haskell, ML, etc) is essential.

●       Java and the JVM: Clojure/Java interop, JDBC, JMS, etc

●       Performance Optimization: Profiling and optimizing JVM-based applications.

●       Automated testing: clojure.test, test.check, testcontainers (unit and integration testing); Cypress, Playwright (end-to-end testing)

●       Computer Science and Software Engineering fundamentals: data structures, space/speed tradeoffs, throughput vs latency, etc.

●       Domain experience working with complex data including, but not limited to, financial and trading information, large data sets, and high volume processes is a plus.

●       Bonus: Experience in analyzing financial data sets by utilizing machine learning techniques. These skills include using techniques for detection and ranking, time series analysis for order books, prices etc, productionization, monitoring and governance of machine learning models.

At BroadPeak, we measure goals and delivery, not time spent at a desk. Depending on the position offered, base salary, bonus, equity, and other forms of compensation may be provided as part of a total compensation package, in addition to medical and financial benefits.

BroadPeak is an equal opportunity employer and committed to creating a welcoming environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Job Type: Full-time

Pay: $120,000.00 - $165,000.00 per year

Benefits:

●       401(k)

●       401(k) matching

●       Dental insurance

●       Flexible spending account

●       Health insurance

●       Health savings account

●       Life insurance

●       Paid time off

●       Professional development assistance

●       Vision insurance

Compensation Package:

●       Bonus opportunities

Schedule:

●       Monday to Friday

Experience:

●       Clojure: 3 years (Preferred)

●       Machine Learning for financial data (Nice to have)

Language:

●       English (Required)

Work Location: Remote