Software Engineer, Collective Communication Job at OpenAI (San Francisco)

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...

Location

United States , Chicago

Salary:

130000.00 USD / Year

AKUNA CAPITAL

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
5+ years of professional experience developing software applications
Java/Scala experience required
Highly motivated and willing to take ownership of high-impact projects upon arrival
Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
Must possess excellent communication, analytical, and problem-solving skills
Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role

Job Responsibility

Work within a growing Data Engineering division supporting the strategic role of data at Akuna
Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark
Mentor junior engineers in software and data engineering best practices
Produce clean, well-tested, and documented code with a clear design to support mission critical applications
Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

What we offer

Discretionary performance bonus
Comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits

Fulltime

Lead Software Engineer Scientific Engine

Lead Software Engineer to manage a team of 4. As team lead, you will oversee: Th...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

1 year or more of technical management experience
Handling human interactions between tech and business
Experience mentoring a team of software engineers by unblocking complex situations and sharing best practices (code reviews, pair programming..)
Scoping and defining tech priorities according to roadmap and maintenance
Excellent communication skills, in both formal and informal settings, and in English and French
3 years of experiences as a software engineer or data scientist
Solid knowledge in Python
Solid engineering background: master in computer science, mathematics, physics or earth science
Experience optimizing and profiling python code
Experience in a microservices architecture

Job Responsibility

Contribute directly on the code base either individually, in pairs or more
Organize REX sessions to share the knowledge received with the rest of the team
Ensure compliance to internal standards and practices
Present the progress and goals
Contribute to the technical roadmap through architecture meetings, design documents
Lead & coach your engineer team to consistently deliver according to their roadmap
Provide expertise to help your team: Develop, optimize and update software for: Calculation of risk models
Data collection, preparation and visualization
Export of outputs adapted to users
Testing and validation of existing solutions

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from a punctual home office days

Intermediate / Senior Software Engineer Scientific Engine (Python)

Due to our consistent growth, we are seeking to expand our Data, Software and De...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Coaching or mentoring experience
Scoping and identifying solutions with business team
Handling human interactions between tech and business
Excellent communication skills, in both formal and informal settings, and in English and French
3 years or more of experiences as a software engineer or data scientist
Solid knowledge in Python
Solid engineering background: master in computer science, mathematics, physics or earth science
Experience optimizing and profiling python code
Experience in a microservices architecture
Good knowledge with Docker

Job Responsibility

Contribute directly on the code base either individually, in pairs or more
Organize REX sessions to share the knowledge received with the rest of the team
Ensure compliance to internal standards and practices
Present the progress and goals
Contribute to the technical roadmap through architecture meetings, design documents
Coach your collaborators to consistently deliver according to their roadmap
Provide expertise to help your team: Develop, optimize and update software for: Calculation of risk models
Data collection, preparation and visualization
Export of outputs adapted to users
Testing and validation of existing solutions

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from a punctual home office days

Software Engineer Staff

This Software Engineer Staff will be engaged in data science-related research an...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Utilize analytical and programming skills and open-source systems, such as Apache Storm, Apache Spark, Elasticsearch, Cassandra, Graph DB etc. develop data processing pipeline required efficacy and latency
Require good knowledge and experience of the big data tool sets and techniques of distributed storage and computation engine
Require the experience to develop the reusable and highly scalable data processing component
Require good knowledge and experience to work with cloud based CICD tools and cloud devops teams to collect stats and create monitors for our data processing pipelines
Develop good quality python APIs to support micro services
Require the knowledge of APIs to various No SQL storage systems, Elasticsearch, Cassandra, and Redis, etc.
Good understanding Python Flask web service and be able to develop good quality code
Troubleshoot production environment and customer reported issues
Require the knowledge of the multi-cloud production environment
Require the agility to troubleshoot open-source data processing engine, such as Apache Spark, Apache Storm and Apache Flink

Job Responsibility

Designs, develops, troubleshoots and debugs software programs for software enhancements and new products
Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools
Determines hardware compatibility and/or influences hardware design
Engaged in data science-related research and software application development and engineering duties related to our enterprise-grade Wi-Fi technology and autonomous platform to provide an unprecedented visibility into the user experience
Collaborate with other engineers and product managers to build the next generation of autonomous Wi-Fi networks leveraging big data and predictive models
Use knowledge of wireless communication networks, machine learning and software engineering to develop and implement scalable algorithms to process a large amount of streaming data to detect anomalies, predict problems, and classify them in real-time
Leverage the data collected from the Wi-Fi network to empower the inference engine of our Mist platform and systems, including the Mist virtual assistant chat bot
Determine the likelihood of failures across the Wi-Fi network and performing failure scope analysis

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Software Engineer, Full Stack - Risk Engineering

The Risk Engineering (RENG) team aims to measure the portfolio risk of both our ...

Location

United States , New York

Salary:

170000.00 - 240000.00 USD / Year

Clear Street

Expiration Date

Until further notice

Requirements

At least five (5) years of experience implementing scalable backend services with a statically-typed language (Go / Java preferred)
BS degree in Computer Science, Computer Engineering or similar discipline
Experience building efficient user-interfaces using Typescript and React
Strong communication skills to collaborate effectively with non-technical business stakeholders, product managers, and engineers
Excited to explore new technologies and become an expert in our tech stack

Job Responsibility

Implement efficient user-interfaces for both internal and external users
Architect new backend services and storage layers for risk based metrics
Collect and break down requirements to produce technical designs
Collaborate with other tech teams, as well as business, operations, and compliance team members

What we offer

Competitive compensation packages
Company equity
401k matching
Gender neutral parental leave
Full medical, dental and vision insurance
Lunch stipends
Fully stocked kitchens
Happy hours
Great location
Amazing views

Fulltime

Senior Software Engineer - Data Integration & JVM Ecosystem

The Connectors team is the bridge between ClickHouse and the entire data ecosyst...

Location

Germany

Salary:

Not provided

ClickHouse

Expiration Date

Until further notice

Requirements

6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions
Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam
Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect
Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
A track record of building scalable data integration systems (beyond simple ETL jobs)
Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling
Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns
Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions
Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire
Passion for open-source development

Job Responsibility

Own and maintain critical parts of ClickHouse's Data engineering ecosystem
Own the full lifecycle of data framework integrations - from the core database driver to SDKs and connectors
Build the foundation that thousands of Data engineers rely on for their most critical data workloads
Collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – opportunities to engage with colleagues at company-wide offsites

Senior Software Engineer - Data Integration & JVM Ecosystem

The Connectors team is the bridge between ClickHouse and the entire data ecosyst...

Location

United Kingdom

Salary:

Not provided

ClickHouse

Expiration Date

Until further notice

Requirements

6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions
Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam
Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect
Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
A track record of building scalable data integration systems (beyond simple ETL jobs)
Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling
Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns
Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions
Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire
Passion for open-source development

Job Responsibility

Serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem
Own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications
Build the foundation that thousands of Data engineers rely on for their most critical data workloads
Collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Fulltime