About SonderMind

At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.

To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter. 

About the Role

In this role, you will be responsible for designing, building, and managing the information infrastructure systems used to collect, store, process, and distribute production and reporting data. This role will work closely with software and data engineers, as well as data scientists, to deploy Applied Science services. This role will also interact with business analysts and technical marketing teams to ensure they have the data necessary to complete their analyses and campaigns.

What you will do 

• Strategically design, construct, install, test, and maintain highly scalable data management systems
• Develop and maintain databases, data processing procedures, and pipelines
• Integrate new data management technologies and software engineering tools into existing structures
• Develop processes for data mining, data modeling, and data production
• Translate complex functional and technical requirements into detailed architecture, design, and high-performing software and applications
• Create custom software components and analytics applications
• Troubleshoot data-related issues and perform root cause analysis to resolve them
• Manage overall pipeline orchestration
• Optimize data warehouse performance

What does success look like?

Success in this role will be gauged by the seamless and efficient operations of data infrastructure. This includes minimal downtime, accurate and timely data delivery and the successful implementation of new technologies and tools. The individual will have demonstrated their ability to collaborate effectively to define solutions with both technical and non-technical team members across data science, engineering, product and our core business functions. They will have made significant contributions to improving our data systems, whether through optimizing existing processes or developing innovative new solutions. Ultimately, their work will enable more informed and effective decision-making across the organization.

Who You Are 

Skills, experience, and education that is needed for this person to be able to succeed in this role 

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Minimum 4 years experience as a Data Engineer or in a similar role
• Proficient with scripting and programming languages (Python, Java, Scala, etc.)
• In-depth knowledge of SQL and other database related technologies
• Experience with Snowflake, DBT, BigQuery, Fivetran, Segment, etc.
• Experience with AWS cloud services (S3, RDS, Redshift, etc.)
• Experience with data pipeline and workflow management tools such as Airflow
• Backend Development experience with the following:
• REST API design using web frameworks such as FastAPI, Flask
• Data modeling for microservices, especially using NoSQL databases like MongoDB
• CI/CD pipelines (Gitlab preferred) and microservices deployment to AWS cloud
• Docker, Kubernetes, Helm Charts, Terraform
• Developing unit tests for microservices using testing frameworks like pytest
• Strong negotiation and interpersonal skills: written, verbal, analytical
• Motivated and influential – proactive with the ability to adhere to deadlines; work to “get the job done” in a fast-paced environment
• Self-starter with the ability to multi-task

Our Benefits 

The anticipated salary range for this role will be $132,000-165,000.

As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work.

Our benefits include:

• A commitment to fostering flexible hybrid work
• A generous PTO policy with a minimum of three weeks off per year
• Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
• Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
• Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it.
• Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition which allows between 8-16 weeks of paid leave)
• 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
• Travel to Denver 1x a year for annual Shift gathering
• Fourteen (14) company holidays
• Company Shutdown between Christmas and New Years
• Supplemental life insurance, pet insurance coverage, commuter benefits and more!

Application Deadline

This position will be an ongoing recruitment process and will be open until filled.

Equal Opportunity 
SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

The Role

Forward Deployed Engineers (FDEs) partner directly with key technical & strategic counterparts at Addepar's largest enterprise engagements. From building custom data integrations to extending platform capabilities; an FDE operates with the autonomy and ownership to drive ground-breaking change for Addepar's customers. As an FDE, you will work in small teams with minimal supervision to set priorities, lead client interactions, and be responsible for the end-to-end delivery of critically important projects.

Each engagement will take on a slightly different shape, providing a wide breadth of opportunities to solve complex technical challenges, explore new and emerging technologies, and most importantly deliver high value customer outcomes. As an FDE, you will be responsible for taking lessons learned and value gathered in the field and turning it into scalable and repeatable long term solutions. You will spend time collaborating with teams across Addepar's engineering and product organization; providing valuable insight to inform design strategy and contributing directly to the core product code base.

FDE operates as an extension of the platform rather than a services organization. This distinction allows FDE to partner with customers in a highly collaborative fashion with a focus on measurable outcomes, rather than billable hours. You will partner with other members of the FDE team to continuously evaluate the dynamic landscape of opportunities, strategic priorities, and commitments - ensuring that the team is always focused on solving the most important & impactful problems. 

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $101,000 - $158,000 + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Who You Are

• 2+ years experience as a professional Software Engineer
• Proficiency with one or more object-oriented programming language (Java and/or Python preferred) and/or compiled language (Go, Rust, Scala preferred)
• Experience building systems with Relational or NoSQL database storage
• BS+ in Computer Science, Software Engineering, Mathematics or other highly technical field paired with software industry experience.
• Ability to lead complex projects, relationships and timelines. Excels working in a cross disciplinary team/environment.
• (Plus) Experience in one or more strongly typed server side programming language (ex: Java, C++).
• (Plus) Experience with distribution storage & execution frameworks (ex. Arrow, Spark, Flink, Storm)

 About SonderMind 

At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.

To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter.

About the Role

In this role, you will be responsible for designing, building, and managing the information infrastructure systems used to collect, store, process, and distribute data. You will also be tasked with transforming data into a format that can be easily analyzed. You will work closely with data engineers on data architectures and with data scientists and business analysts to ensure they have the data necessary to complete their analyses and to provide production service support on the data and their transformation whenever needed.

Essential Functions

• Strategically design, construct, install, test, and maintain highly scalable data management systems that include distributed databases, data warehouses, and cloud storage, etc.
• Develop and maintain databases, data processing procedures, and pipelines
• Integrate new data management technologies and software engineering tools into existing structures
• Develop and implement processes for data mining, data modeling, and dataproduction
• Translate complex functional and technical requirements into detailed architecture, design, and high-performing software and applications
• Create custom software components and analytics applications in Python and SQL
• Troubleshoot data-related issues and perform root cause analysis to resolve them
• Manage overall pipeline orchestration
• Optimize data warehouse performance

What does success look like?

Success in this role will be measured by the seamless and efficient operations of our data infrastructure. This includes maintaining high availability, ensuring optimal performance, and implementing robust security measures. Achieving success will also involve proactive monitoring, timely issue resolution, and continuous improvements to our systems. The ideal outcome is a stable, scalable, and secure data environment that supports the organization's goals and enables data-driven decision-making. This includes minimal downtime, accurate and timely data delivery and the successful implementation of new technologies and tools. The individual will have demonstrated their ability to collaborate effectively to define solutions with both technical andnon-technical team members across data science, engineering, product and our core business functions. They will have made significant contributions to improving our data systems, whether through optimizing existing processes or developing innovative new solutions. Ultimately, their work will enable more informed and effective decision-making across the organization.

Who You Are

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Minimum three years experience as a Data Engineer or in a similar role
• Experience with data science and analytics engineering is a plus
• Experience with AI/ML in GenAI or data software - including vector databases - is a plus
• Proficient with scripting and programming languages (Python, Java, Scala, etc.)
• In-depth knowledge of SQL and other database related technologies such as NoSQL
• Experience with Snowflake, DBT, BigQuery, Fivetran, Segment, etc.
• Experience with AWS cloud services (S3, RDS, Redshift, etc.)
• Experience with data pipeline and workflow management tools such as Airflow
• Strong negotiation and interpersonal skills: written, verbal, analytical
• Motivated and influential – proactive with the ability to adhere to deadlines; work to “get the job done” in a fast-paced environment
• Self-starter with the ability to multi-task

Preferred experience 

• Master’s degree in Computer Science, Engineering, or a related field
• Knowledge of Docker and Kubernetes to manage data applications in a scalable and efficient way
• Proficiency with ETL (Extract, Transform, Load) tools like Apache NiFi, Talend, or Informatica is a big advantage

????London / UK Remote | ???? Senior Engineer II (L60) £115,000 - £150,000 + Benefits|Technology- Engineering | 

About our Engineering Teams:

We have around 300 engineers out of roughly 2,500 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so you’ll learn heaps about everything from how banks work to effective communication.

We contribute toopen source softwareas much as possible. Ourblogis a good place to learn even more about what we do!

What you’ll be working on: 

We rely heavily on the following tools and technologies:

• Goto write our application code (there’s an excellent interactive Go tutorialhere)
• Cassandrafor most persistent data storage
• Kafkafor our asynchronous message queue
• Envoy Proxyfor RPC
• KubernetesandDockerto schedule and run our services 
• AWSfor most of our infrastructure
• Reactfor internal web dashboards
• We also have two physical datacenter sites with actual cables to connect to various third parties

Your day-to-day   

This role is all about collaborating across disciplines to test hypotheses and make a difference to customers. As a product backend engineer you’ll work in a squad alongside product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! 

Together you’ll build and support a particular part of Monzo. Our product squads belong to our widercollectives(a word we use to describe self-governing business units of ~100 people). They are; Money, Borrowing, Fincrime, Customer Operations, Platform, Personal Banking & Business Banking. They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! 

Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles.

You should apply if:

• you have strong experience working on the backend of a technology product
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• you’re comfortable working in a team that deals with ambiguity
• you’re interested in distributed systems and writing resilient software
• you have some experience with strongly-typed languages (Go, Java, C, Scala etc.).
• you think you’d enjoy the kind of work we’re doing

We're on the look out for L60 Engineers at the moment, you can read more in our Engineering Progression Framework we are also hiring on L40 & L50, our interview process will determine your levelling. 

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task or pair coding exercise 
3. Final interview including a system design and a behavioural interview 

Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us ontech-hiring@monzo.com 

One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please seehere.

What’s in it for you:

???? £115,000 - £150,000 base salary ➕ plus stock options 

✈️We can help you relocate to the UK 

✅ We can sponsor visas.

????This role can be based in our London office or remotely across the UK (with ad hoc meetings in London).

⏰We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefitshere 

We're usually always hiring for Backend Engineers, so there's no closing date for this job.

#LI-Remote

#LI-HJ1

As Sr. Data Engineer I, you’ll take a leadership role in architecting, building, and optimizing our data pipelines, data warehouses, and data lakes. Your deep technical expertise and extensive experience will drive the development of scalable, efficient, and reliable data solutions that empower our analytics and business intelligence initiatives. You will collaborate closely with cross-functional teams including data scientists, analysts, and software engineers to ensure our data ecosystem meets both current and future requirements.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Lead the design and implementation of complex, end-to-end data pipelines to collect, process, and transform data from various sources into usable formats.
• Develop and maintain ETL/ELT processes to ensure data integrity, accuracy, and availability for downstream applications.
• Collaborate with data scientists and analysts to understand data requirements and assist in the creation of data models, dashboards, and visualizations.
• Optimize data infrastructure for performance, scalability, and cost-effectiveness, making use of both traditional relational databases and modern big data technologies.
• Ensure data security and compliance with relevant data protection regulations throughout the data lifecycle.
• Identify and resolve data-related issues, troubleshoot performance bottlenecks, and provide timely support to maintain data operations.
• Mentor and guide junior data engineers, providing technical leadership and fostering a culture of continuous learning.

What you’ll need to succeed:

• Possess an active U.S. Government issued Secret security clearance.
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of professional experience in data engineering, with a proven track record of designing and implementing robust data solutions.
• Expertise in building and maintaining data pipelines using tools such as Talend.
• Experience implementing data integration within tools such as Pentaho.
• Strong programming skills in languages such as Python, Java, Scala, or SQL for data processing and manipulation.
• Proficiency in working with CI/CD (e.g. Jenkins) and containerization technologies (e.g., Docker, Kubernetes) to deploy data platforms such as Talend and Pentaho.
• Experience with data warehousing solutions and data modeling concepts.
• Familiarity with version control systems (e.g., Git) and collaborative development practices.
• Excellent problem-solving skills and the ability to tackle complex technical challenges.
• Strong communication skills to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders.

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

Sign up to join our newsletter here.

Our Guiding Stars are the values at the heart of our organization that drive everything we do. We are committed to creating meaningful change not only in our industry but also in the communities we engage with. If our Guiding Stars resonate with you, we encourage you to consider joining our team.

• Drive Results: We think big, work smart, and execute fast to transform the future of commerce
• Cultivate Belonging: We welcome diverse backgrounds and experiences, driving positive change through inclusion and teamwork
• Champion Customers: We go the extra mile for our customers to help them unlock their full potential
• Adapt Boldly: We’re curious and innovative, we take risks and grow from our failures

The Opportunity:

Would you like to work with enthusiastic and experienced Software Engineers in a remote, agile and international environment with a modern, evolving tech-stack? Are you thrilled by getting your hands on one of the most innovative eCommerce platforms the world has seen? On top of that you work with passion, love clean code and like to understand the big picture? Sounds like commercetools is the perfect match! 

This role will require an in-office presence three days per week.

Your Mission:

• Design and implement our PaaS eCommerce backend in Scala as well as working with database mappings and web service APIs
• Design, develop and test the APIs that enable a flexible and smooth checkout experience for each store our customers have around the world
• Develop a scalable and multi-tenant architecture
• Participate and contribute to the team’s roadmap, technical decisions and planning, both by producing quality proposals, giving meaningful feedback and driving alignment
• Test software components regarding usability, functionality and performance, and work closely with Product Management
• Taking part in on-call rotation (with the worldwide distributed team) for production systems

What you need to succeed:

• At least 5 years of experience as a Backend Engineer developing server-side systems on the JVM using Scala
• Firm understanding of functional programming
• Solid understanding of parallel and asynchronous programming, as well as non-blocking I/O
• Experience in developing REST APIs and knowledge of scalable architectures
• Fluent English for work in international teams
• Aspiration to constantly improve yourself and learn new technologies and concepts

Nice to have:

• Experience working with GraphQL
• Experience working with MongoDB or other noSQL databases

We care about your growth and well-being

???? Competitive Compensation Package:Generous compensation structure consisting of salary, a competitive stock option package, and various benefits and perks

☀️ Workation: Work up to 60 days per year in a country different from your home country  

???? Learning & Development Budget

????Academy:Regular training sessions, access to Coursera and Babbel training courses

???? Our Benefits:Check them out by office here

⌚️Flexibility:Morning person or night owl? We believe in outcome and motivated employees

???? Mindset & Growth:A diverse workplace with an open, international culture, and learning environment

Come grow with us!

We are all different and that is what makes us stronger! We hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company better.

commercetools celebrates being adiverse environmentand is proud to be anequalopportunityemployer. If your professional profile aligns with our specific hiring requirements and Guiding Stars, we encourage you to apply. We will assess your competencies, future potential, approach to learning and self-development and passion, and not your age, color, national origin, religion, gender, gender identity or expression, sexual orientation, familial status, genetics, or disability.

About the role

As a Presales Solutions Architect, you will work proactively with the technical community in the West region to innovate and develop technical strategies and solutions supporting a common outcome. Qualified candidates will demonstrate the capability to excel in a fast-paced environment, demonstrate deep knowledge of international operations and the unique nuances operating within various geographies.

The Presales Solutions Architect must be passionate about Dremio’s mission, thrive in a dynamic environment, and be willing to jump in and get things done. The candidate is equally comfortable in both business and technical contexts, interacting both with executives and technology practitioners.

What you’ll be doing

• Engaging with the Dremio Sales Team and Prospects in preparing and presenting the Dremio product and technology while addressing any technical questions or concerns that come up during the sales cycle
• Supporting the technical needs of customers and resolving technical issues, along with engaging them on any additional issues, problems, or opportunities regarding the Dremio product.
• Develop a deep understanding of the Dremio product and technology and work closely with Engineering, Sales and others to resolve critical technical issues
• Traveling to clients and potential clients and serving as the key technical interface with customers
• Understand the business drivers, challenges and objectives in various industries and domains
• Design and architect end-to-end data solutions leveraging Dremio's capabilities, including data virtualization, data catalog, and query optimization.
• Configure and optimize and run Dremio POC’s to meet performance, scalability, and security requirements for potential prospects.
• Act as a trusted advisor to clients, providing expert guidance and recommendations on leveraging Dremio effectively.
• Build and maintain strong client relationships, ensuring high levels of customer satisfaction and retention.
• Identify opportunities for expanding the usage of Dremio within client organizations and drive adoption of new features and capabilities.

What we’re looking for

• 8-10+ years experience with the majority of experience in large enterprise as a Sales Engineer/Presales Solutions Architect
• Knowledge of Databases, specifically MPP analytic databases and data warehousing concepts
• Strong understanding of data architecture concepts, including data lakes, data virtualization, and data mesh principles
• Working knowledge of Linux, comfortable installing, debugging and integrating applications on Linux platform
• Strong experience and expertise in SQL queries, syntax, data modeling and optimization 
• Knowledge of various data storage technologies, such as HDFS, Amazon S3, Azure Data Lake Storage, and relational databases
• Experience with data integration techniques, including ETL/ELT processes, data ingestion, and data transformation
• Familiarity with big data processing frameworks like Apache Spark, Hadoop MapReduce, and Hive
• Ability to perform performance tuning and optimization of Dremio queries and workflows
• Experience with data visualization tools (e.g., Tableau, PowerBI) and understanding of data visualization best practices
• Knowledge of data security and privacy best practices, including authentication, authorization, and data encryption
• Great presentation skills with the ability to speak in front of audiences
• Ability to travel at least 30% of the time
• Strong problem-solving skills and ability to design and implement solutions to complex data challenges
• Ability to design and lead the implementation of large-scale, enterprise-level data architectures
• Ability to articulate technical concepts and solutions to both technical and non-technical audiences
• Effective in building strong relationships with customers, partners, and internal stakeholders

Bonus points if you have

• Ability to understand and code in core programming languages such as Python, Java or Scala
• Familiarity with agile development methodologies and experience working in collaborative, cross-functional teams
• Relevant certifications, AWS Certified Data Analytics, or similar data-related certifications, are a plus

#LI-remote #LI-EH1

As Sr. Data Scientist II, you’ll empower the design, development, and optimization of AI/ML models based on industry best practices. Drive progress of AI/ML components used in DoD Search Portfolio products.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Designs, configures, develops, tests, and supports informatics and data science solutions for a wide array of technical use cases;
• Collaborate with cross-functional teams, including data scientists and software engineers to integrate AI solutions developed by other elements of CDAO or the DoD community into Search Portfolio products when appropriate
• Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks, specifically Apache Spark/Databricks. Ability to adapt code base to also run using GPU enabled Kubernetes clusters.
• Stay updated on and contribute to the latest advancements in AI research, applying new findings to improve Search Portfolio products
• Manage the lifecycle of AI/ML components used in Search Portfolio products from research and development to deployment and optimization
• Applies analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance;
• Documents and presents requirements, design alternatives, and findings to team members and clients;
• Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships; and
• Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools.
• Maintains and guides the development of common libraries and tools used by multiple teams.
• Aids in formulating a strategy on how to achieve rapid prototyping

What you’ll need to succeed:

• Bachelor’s degree plus 7-10 years of data science experience, or a Masters Degree plus 5 years of data science experience.
• Active Top Secret clearance with the ability to obtain a SCI
• Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory
• Hands-on experience with Natural Language Processing (NLP), Large Language Models, text embedding, semantic query, use of generative AI for text, and retrieval augmented generation (RAG)
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects
• Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks
• Experience with version control systems like Git, enabling effective collaboration and code management
• Experience in an ML engineer or data scientist role building ML models
• Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility
• Experience using Apache Spark/Databricks distributed compute environments for AI/ML workloads
• Experience handling petabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models
• Experience with cloud-based data persistence products, especially RDS PostgreSQL and PostgreSQL extensions such as pgvector.
• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture codeand benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

Sign up to join our newsletter here.

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Trading Systems

The Role: Staff Software Engineer

Working with our team of core trading systems developers to improve and expand the functionality of our matching engine, order entry mechanisms, and market data publication. We design, develop, deploy, and support real-time systems for our digital asset trading platform. Time is measured in microseconds and we aim to start measuring in nanoseconds. Reliability, fault tolerance, recoverability, throughput, and latency are what we look for in our systems. If something on the spaceship is broken we aim to fix it, if something can be automated we automate it, and we ship our code weekly.

Responsibilities:

• Use engineering principles to identify and measure risk and to implement quantitative and technical risk management solutions in software.
• Understand business needs, facilitate and develop process workflows, data requirements, and specifications required to support implementation of our real time exchange.
• Develop scalable architecture for the future state of our exchange and contribute towards improving the trading infrastructure.
• Write robust code and APIs to support the company’s vital business.
• Keep everyone informed about the health and viability of the platform by reporting known issues and status of ongoing investigations.
• Identify and advocate for changes vital to the stability and supportability of the system.
• Mentor and advise teammates to ensure new features are efficient, highly available, and fault tolerant.
• Provide continuity and stability to the production environment.
• Provide quick response to production issues to help eliminate down time thereby ensuring high availability and performance of our trading platform.
• Coordinate, prioritize and plan the changes to our trading software thereby ensuring smooth exchange migrations, quick time to market for new features and software.

Minimum Qualifications:

• 8+ years Java/C++ or functional programming language experience in an exchange/trading systems environment.
• Experience with unit testing frameworks and continuous integration tools.
• 8+ years working with order handling or matching engines.
• 8+ years working with FIX or other market data/order protocols.
• Experience in building real time Linux systems.
• Solid understanding of IP multicast and TCP protocols.

Preferred Qualifications:

• Low latency/lock-free development and design.
• Multithreading and concurrency experience.
• Binary or custom protocols (e.g. ITCH/OUCH).
• Linux kernel tuning and optimization.
• Scala experience.

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $172,000 - $215,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.