John Bemis

For our direct client near Norwalk, CT we seek a meticulous and skilled QA Tester with a strong background in eCommerce platforms to ensure the quality, usability, and reliability of the online shopping experience. The ideal candidate will be responsible for testing web and mobile applications, identifying issues, and collaborating with cross-functional teams to deliver flawless customer-facing solutions. Effective collaboration across time zones and global teams, strong communication skills, attention to detail, and the ability to balance technical and business expectations are essential for success in this role. Note this position requires 2 days/week onsite in the Wilton, CT office.  It is not near a train station, so transport via auto is a must.   Role and Responsibilities:  Test Planning & Execution: •    Develop, maintain, and execute test plans, test cases, and scripts for eCommerce websites and mobile applications. •    Perform functional, regression, performance, and cross-browser/device testing to validate features and fixes. Defect Management: •    Identify, document, and track bugs using tools like JIRA or Bugzilla. •    Collaborate with developers and product teams to resolve issues effectively. Automation Testing: •    Create and maintain automated test scripts using tools such as Selenium, Appium, or Cypress. •    Implement automation frameworks and suggest improvements for testing efficiency. Integration & API Testing: •    Test third-party integrations (e.g., payment gateways, shipping APIs) to ensure seamless operations. •    Validate API responses using tools like Postman or SOAP UI. Usability & Performance Testing: •    Assess website and app usability to ensure an optimal user experience. •    Collaborate with UAT testers and Products owners as applicable. Collaboration & Reporting: •    Work closely with developers, product managers, and UX designers to align testing with project goals. •    Provide regular reports on test progress, defect status, and quality metrics. Qualifications desired: •    Experience: o    5+ years of experience in QA testing, with a focus on e-commerce platforms. o    Familiarity with e-commerce technologies like SalesForce, Shopify, Magento, Woo Commerce, or custom solutions. •    Technical Skills: o    Proficient in manual and automation testing techniques. o    Hands-on experience with automation tools (e.g., Selenium, Appium). o    Knowledge of database querying (SQL) and debugging tools. o    Understanding of web technologies (HTML, CSS, JavaScript) and RESTful APIs. •    Soft Skills: o    Detail-oriented with strong analytical and problem-solving skills. o    Excellent communication and collaboration abilities.  •    Preferred/nice to have: o    Experience with Agile methodologies and tools (e.g., JIRA, Confluence). -     Experience testing web-based applications with a SalesForce behind the UI o    Familiarity with CI/CD pipelines and version control systems (e.g., Git). o    Knowledge of accessibility standards and testing tools (e.g., Axe, Wave). Education:  Bachelor’s degree in Computer Science, Information Technology, or a related field.  

About the Role 

For our direct client, a leading fintech company in NYC, we seek a passionate Data Analyst to join the company's Data Platform team. The successful candidate will turn data into information, information into insight and insight into business decisions. Data is core and central part of the company. Data driven decisions are very critical, as a result, we are looking for a Data Analyst who will not only be able to use the data but also understand it and help make actionable decisions. Data Analyst quickly grasps complex and fluid business problems and is the bridge between the Data Engineers and Stakeholders. If you love using the latest technologies, working on creative software projects, and/or thinking about innovative new business plans in your spare time, read on.

The Data Warehouse Data / Business Analyst should have experience in creating business requirement and technical design documentation, specifically for the development of ETL applications.  This role requires extensive SQL experience, such as writing complex queries across multiple tables, and data analysis and profiling skills for the creation of design documentation and discussions with data modelers.  The ideal candidate should also have strong verbal and written communication skills to work with stakeholders to gather and formulate business requirements, and then translate to technical documentation.  The candidate will also be comfortable supporting testing, and production accuracy after deployments.

How You Will Fulfill Your Potential

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

• Interpret, analyze and model the data from various data sources into Data Lakehouse.

• Develop and implement databases, data collection systems, data analytics and other strategies that optimize efficiency and quality

• Acquire data from primary or secondary data sources and maintain databases/data systems

• Identify, analyze, and interpret trends or patterns in complex data sets

• Filter and “clean” data by reviewing/comparing source data and performance indicators to locate and correct code problems

• Work with management to prioritize business and information needs

• Locate and define new process improvement opportunities

What We’re Looking For

• 6+ years of experience as a Data Analyst and Business Data Analyst

• Experienced in creating Business Requirement and Technical Design Documentation, in specific to ETL and Data Lakehouse Development

• Extensive SQL experience, such as writing complex queries across multiple tables, data analysis and profiling skills.

• Design efficient data modeling techniques to source data into Data Lakehouse to build strong reporting and data integrations.

• Experienced in suggesting Tactical and Strategic Data Solutions.

• Must have strong verbal and written communication skills to work with stakeholders to gather and formulate business requirements, and then translate to technical documentation

• Familiarity with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases.

• Familiarity with various database designs (Relational, Columnar, NoSQL)

• Some background in probability/statistics

• Detail-oriented, ability to multitask and work in a fast-paced environment

• Ability to work independently while also being a strong team player

• Passionate about cutting-edge technologies

Preferred Qualifications

• Master’s in Computer Science, Data Science or related field

• Proven working experience as a Data Analyst or Business Data Analyst

• Technical Expertise regarding data models, database design development, data mining and segmentation techniques

• Strong knowledge of reporting packages (Tableau etc) and experience with databases (SQL etc), programming (XML, Javascript, or ETL frameworks)

• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

• Strong Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• Adept at queries, report writing and presenting findings

• Good knowledge of financial markets and financial instruments

 

 

Benefits 

The base salary range for this role is $120,000 to $160,000.

The company offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer-matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off.

Send resume today for immediate consideration!

 

AI/ML – NLP Engineer – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for an AI/ML NLP Engineer.  The team is developing cutting edge solutions to establish a unique competitive edge for the firm. As a senior AI/ML - NLP Engineer on our team, you will be responsible for designing, developing, and implementing AI/ML models for natural language processing (NLP) applications. This would involve working with large datasets, selecting appropriate algorithms and techniques, training or fine-tuning models to achieve optimal performance, and deploying and monitoring model performance in production. You will be working in a collaborative team environment across product management, data engineering, and software engineering teams. If you are passionate about leveraging machine learning techniques to drive innovation and have a strong background in developing scalable solutions, we would love to hear from you. 2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $160-200K range DOE, plus generous bonus and stock options.  Responsibilities

• Design, develop, train, and deploy AI/ML models to solve business problems through a full development and production cycle in the FinTech domain. 
• Evaluate and compare the performance of different AI/ML algorithms and models. 
• Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures to ensure efficiency, scalability, and maintainability. 
• Ensure the reliability, robustness, and scalability of machine learning models in production environments. 
• Collaborate with cross-functional teams, including product managers and full stack engineers, to deliver scalable machine learning solutions. 
• Understand business requirements, communicate with stakeholders, and mentor junior team members. 

Qualifications

• 4-6+ (mid-career) years of experience as a hands-on data scientist or AI/ML engineer in AI/ML/DS fields. 
• Advanced degree (Masters, PhD) in a relevant field (AI/ML/DS, mathematics, computer science, etc.).  
• Experience working with Large Language Models, such as GPT-4, Llama 2, and other commercial or open-source models in production environment.  
• Proficiency in programming languages commonly used in NLP, such as Python, and libraries/frameworks like TensorFlow, PyTorch, or spaCy and strong understanding of software engineering principles and best practices. 
• Strong knowledge of NLP techniques, including text data preprocessing (tokenization, stemming, and text normalization, etc.) and information extraction (summarization, and question answering, etc.) 
• Knowledge of machine learning algorithms and statistical techniques, their limitations and implementation challenges 
• Experience with cloud platforms and distributed computing environments for NLP tasks, such as AWS, Google Cloud, or Azure 
• Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation.   
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment. 
• Strong communication skills and the ability to effectively articulate technical concepts to both technical and non-technical audiences. 

Nice to Haves:

• Publications, conference talks, and/or patents in AI/ML/DS or related fields 
• Experience with data visualization tools and techniques to effectively communicate and present findings. 
• Experience with data transformation tool (such as dbt) and orchestration tool (such as Airflow). 
• Portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc. 
• Experience working in Finance or Financial Technology (FinTech). Understanding of regulatory and compliance requirements in the financial industry and their implications for machine learning applications. 

Opportunity

This full-time role with our direct client near Shelton, CT offers a tremendous opportunity to learn and grow with a successful company. You’ll gain hands-on experience with ERP systems, work closely with experienced professionals, and contribute to meaningful business projects.

This position is ideal for someone eager to expand their skills and advance in a supportive, collaborative environment. 

The company has a strong track record of growth, and there is terrific opportunity to help advance the various IT systems and processes in the company, to support the product manufacturing, inventory and related ERP processes.    We seek an energetic, detail-oriented individual who can work well with various departments, to work on key IT initiatives, i.e. process and system improvements.    You'll work with a dedicated IT leadership team who will invest time and support your growth with the company.   Immediate interview and hire, send resume today for immediate consideration!    This position is primarily on-site, to mesh and work closely with the team and have easy access to various personnel, departments, and the high-tech manufacturing facility.   Responsibilities

• Assist in the analysis and evaluation of application functionality; support efforts to identify opportunities to enhance business processes and capabilities.
• Provide support and learn configuration aspects of application software solutions under the guidance of senior team members.
• Collaborate with business users, technical teams, and software vendors on basic solution requirements, design, and implementation tasks.
• Participate in gathering and documenting requirements and specifications for business solutions.
• Conduct research to identify key metrics and suggest areas for improvement.
• Learn and assist in the development of processes and procedures to ensure solutions align with business goals.
• Support stakeholders in achieving their business objectives and success criteria.
• Help draft business requirements, functional requirements, and design specifications.
• Contribute to ongoing improvements in existing business processes to enhance efficiency and effectiveness.

Required Qualifications

• At least 1 year of experience in a business analysis or related role within a manufacturing environment.
• Exposure to ERP systems (e.g., SAP, Oracle, Microsoft Dynamics, or similar) and a willingness to learn more in this area.
• Basic understanding of business processes and familiarity with gathering requirements and problem-solving.
• Strong interest in technology and its application in business operations.
• Excellent verbal and written communication skills.

Sr. DevOps/SRE  – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Senior DevOps/SRE Engineer to develop and maintain the production and development environments for a multi-party application. This role will utilize strong DevOps principles and advanced cloud capabilities to facilitate the infrastructure and automated CI/CD for a distributed ledger platform. The ideal candidate is a highly collaborative, creative, and intellectually curious DevOps Engineer. The person in this role should have solid experience in Site Reliability Engineering and is passionate about forming and implementing cutting-edge cloud computing capabilities.  4 days onsite work in the NYC midtown office is required.  Base salary is in the $160-200K range DOE, plus generous bonus and stock options.    Responsibilities 

• Design, implement, and manage AWS cloud infrastructure using Terraform and CloudFormation. 
• Develop and maintain CI/CD pipelines using GitLab for seamless code deployment and integration. 
• Collaborate with blockchain engineers to ensure optimal performance and security of the distributed ledger technology (DLT). 
• Monitor system performance using Grafana, Prometheus, and Datadog, and proactively address system issues. 
• Ensure high availability and reliability of the application across the end-to-end tech stacks. 
• Collaborate with cross-functional teams to understand needs and deliver solutions that meet business objectives. 
• Lead and mentor junior team members, fostering a culture of continuous learning and improvement. 

  Qualifications 

• 8+ years of experience in DevOps, TechOps, or SRE, including at least 5 years working with AWS 
• Strong desire to experience microservices in a production environment, particularly with Docker and Kubernetes 
• Strong Linux OS-level, command-line and scripting knowledge (e.g., Bash, Python), and configuration management principles 
• Applicants should have a working knowledge of databases such as MongoDB, Postgres, and DynamoDB 
• Experience in architecting, implementing, and managing monitoring tools such as Prometheus/Grafana, CloudWatch, Splunk, Datadog, NewRelic, and ELK in the cloud 
• Experience with compute provisioning on Cloud-based platforms using Terraform and/or CloudFormation 
• Exceptional analytical skills, able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions 
• Experience in building a Microservice-based architecture 
• Excellent verbal and written communication skills 
• Able to design and implement complex, but easily managed, automated infrastructure 
• A desire to share knowledge, teach, and learn as part of a collaborative team 
• AWS certifications are a plus 
• Experience developing or integrating with blockchain applications is preferred, but not required 

Performance Test Engineer - Vice President - Hybrid

This FTE position is with our direct client, who is at the forefront of transforming the financial services industry, providing a cutting-edge platform for alternative investment opportunities. We are looking for a Performance Test Engineer to join the team and help ensure the platform is scalable, reliable, and performant. If you're a passionate, hands-on technical leader with a deep understanding of performance testing and automation frameworks, this is your chance to make an impact.

About the Role

As a lead Performance Test Engineer, you will take charge of developing and optimizing performance test frameworks while collaborating with cross-functional teams, including Development, QA, and DevOps. You’ll bring hands-on experience with agile methodologies and engineering best practices, working closely with engineers and product managers to deliver exceptional software quality.

We’re looking for a blend of technical SDET expertise, leadership skills, and a proven ability to implement and enhance automation frameworks. This role requires you to design and execute sophisticated performance testing strategies, analyze results, and drive system improvements.

Key Responsibilities

• Performance Testing:
• Develop and maintain performance test scripts using tools like k6, JMeter, Locust, and Lighthouse.
• Execute diverse performance testing scenarios, including load testing, stress testing, spike testing, and endurance testing.

• Monitoring and Analysis:
• Utilize Grafana for monitoring and visualizing performance metrics, integrating with tools like Prometheus.
• Analyze test results to identify bottlenecks, recommend optimizations, and enhance system performance.

• Collaboration & Integration:
• Collaborate with developers, architects, and product teams to ensure performance requirements are met.
• Work with DevOps to integrate performance testing into the CI/CD pipeline.
• Provide actionable feedback to optimize application scalability and reliability.

• UI & Load Testing:
• Conduct UI load testing to ensure optimal user experience under varying conditions.

• Reporting & Insights:
• Generate detailed performance reports, highlighting trends, insights, and areas for improvement.
• Communicate findings effectively to technical and non-technical stakeholders. What We're Looking For

  We’re seeking a results-driven professional with a blend of hands-on technical skills and leadership experience.

  Required Skills & Qualifications:

  • Experience:
  • 10–12 years in QA, including 3–5 years of hands-on performance testing and engineering experience.

• Technical Expertise:
• Proficient in tools like k6 and JMeter; experience with Locust and Lighthouse is a plus.
• Strong scripting skills in Node.js (for k6) and familiarity with languages like Python or Groovy.
• Solid understanding of HTTP protocols, REST APIs, and microservices architecture.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP).

• Monitoring & Optimization:
• Expertise in Grafana, Prometheus, and APM solutions like New Relic.

• Problem-Solving & Communication:
• Exceptional analytical skills to diagnose and resolve performance issues.
• Strong communication skills, capable of articulating technical findings to diverse audiences.

• Bonus Points:
• Experience with UI load testing tools like Lighthouse or HP LoadRunner.
• Background in building performance monitoring and alerting systems. Why Join Us?

  This company fosters innovation, collaboration, and growth. You'll work with a team of talented professionals dedicated to redefining industry standards, all while enjoying competitive benefits, ongoing development opportunities, and a supportive workplace culture.

  This is a hybrid position, 4 days a week in the mid-town NYC location very conveniently located near Grand Central Station, and the ability to work from home on Fridays. Base salary in the 150-170K range, DOE plus generous bonus and stock options.   Ready to Apply?

  If you’re ready to take your career to the next level and thrive in a dynamic, fast-paced environment, we’d love to hear from you. Apply now for immediate consideration!

Back-end Python Engineer - VP Level - Hybrid Our direct client, a fast-growing FinTech firm in New York City, very close to Grand Central Station, seeks a a Senior Blockchain / Backend Engineer.  The client is a leading platform for the world’s alternative investment marketplace. Their financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. Their services are  approximately $200 billion in global client assets invested in 1,634 funds, as of September 2024.    The firm has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award.   About the Role The firm's Distributed Ledger Technology team is looking to hire a Senior Blockchain / Backend Engineer to develop an industry-wide distributed ledger solution for the alternative investment ecosystem to facilitate access to private markets investments for advisors and their high-net-worth clients using innovative technology solutions. Candidates should be able to understand complex business problems, scope projects, identify business opportunities, optimize workflows, and communicate their findings across all levels of the organization. This role is highly visible and involves working closely with other teams in Engineering, Product, senior leadership, and industry partners.      Responsibilities

• Design and implement a private and permissioned distributed ledger using DAML / Canton and other open source blockchain frameworks
• Build and maintain a RESTful API using Python and FastAPI
• Provide technical leadership to motivate and guide team members and mentor junior engineers
• Actively participate in daily stand-up meetings
• Actively participate in Peer Code Reviews as part of our standard SDLC and Change
• Stay current with the latest developments in blockchain technology and incorporate them into the ecosystem

  Qualifications

• 5+ years software engineering experience building enterprise SaaS cloud-based solutions
• 2+ year technical leadership and management experience 
• Experience with DAML, Solidity, or other blockchain programing languages
• Experience with Python and FastAPI
• Demonstrated understanding of relational database concepts and modeling practices
• Experience building APIs for large scale applications using AWS
• Experience with tokenization and blockchain-based investments
• Familiarity with security best practices and encryption techniques
• Basic knowledge of finance and business (e.g., capital markets, alternative investments)
• Excellent writing, communication, and presentation skills
• Exceptional ability to understand client needs, scope projects, develop detail-oriented execution plans, and communicate results
• An entrepreneurial hunger to own problems from start-to-finish, manage projects, overcome operational bottlenecks, and execute effectively

   Benefits   This position offers a very compensation package which includes salary, equity, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). Apply today for immediate consideration!

SDET – Hybrid: Our direct client, a fast-growing FinTech firm, is looking for a Software Developer in Test (SDET).   In this role, you’ll bring practical knowledge of agile development methodologies and engineering best practices. You’ll work closely with the Development and Testing team. The ideal candidate would be an independent individual contributor who can understand existing automation test frameworks and has an ability to enhance and implement the same and should also be able to work with other engineers and product managers to support feature-based testing. This position can be in either the NYC or Greenwich, CT office - 4 days per week onsite is expected.  Base salary in the $110-145K range, DOE plus generous bonus and stock options.   Responsibilities

• Build and implement robust automated test suites.
• Integration of automated test suites with the current build and deployment processes.
• Maintenance of automated tests to accommodate changes in system design and architecture.
• Integration of Automation framework with existing tools (JIRA).
• Create/Manage/Utilize Defect workflows with automated test execution.
• Design and publish meaningful metric to support automation test creation and execution.
• Build and implement performance test suites.
• Perform all types of testing – Functional. API, Automation, Performance and Load.

Qualifications

• 3 - 10 years of experience with QA engineering delivery experience
• 3+ years of delivery within Agile SDLC/teams ideally with CICD
• Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD)
• Experience with Java microservices and REST APIs and exposure to React front end
• Agile development approach
• Technologies: Java, JavaScript, IntelliJ/Eclipse
• CI/CD: Maven, Sonar, Git, Teamcity/Jenkins, Docker
• Exposure to banking and/or finance environments preferred
• Testing: Junit, WebdriverIO, Protractor, JMeter or similar

Implementation Backend Engineer: Hybrid Our direct client, a fast-growing FinTech firm in New York City, is looking for multiple Backend Implementation Engineers.  We are seeking a highly motivated and versatile Engineer to lead integrations with back-end APIs. This role involves working directly with clients to ensure seamless integration of our technology into their systems. You will be responsible for designing, piloting, and scaling integration solutions, building tools to debug and enhance customer implementations, and driving technical leadership throughout the integration lifecycle. For this role, 4 days onsite work in the NYC office is required, the base salary is in the $150-180K range, DOE.  Key Responsibilities:

• Design & Architect External Integration Solutions: Partner with clients to design and architect scalable API integration solutions with client systems. Develop workflows that ensure seamless communication between external stakeholders' infrastructure and the company’s platform, focusing on security, scalability, and performance.
• Lead Client Integration Sessions: Serve as the technical lead in client-facing integration scoping meetings. Provide architectural guidance, conduct technical discovery, and ensure that all client requirements are understood and incorporated into the integration design.
• Internally Focused Tool Development: Build and maintain internal tools, scripts, and frameworks to streamline the integration process. These tools will enhance efficiency and reduce manual effort by providing clean testing data and functionality to improve overall project timelines, supporting both development and production environments.
• Hands-on Debugging & Technical Troubleshooting: Act as the primary technical point of contact for debugging and resolving integration issues in client environments. Work directly with customers to diagnose and fix issues that arise during the integration and deployment phases, ensuring smooth production rollouts.
• Custom Solution Development: Design tailored solutions for clients based on specific requirements and system constraints. Translate high-level business needs into detailed technical designs that align with client infrastructure and ensure successful integration.
• Internal Coding Standards & Automation: Establish and maintain best coding practices for the development of internal integration tools. Automate repetitive tasks and optimize tool performance to accelerate integration timelines and reduce operational friction.
• Collaborate with Core Engineering Teams:  Work closely with internal engineering teams to design, iterate, and refine the APIs and data models that underpin client integrations based on feedback and technical insights from client-facing projects. Ensure APIs are robust, well-documented, and evolve the product by ensuring real-world customer requirements and challenges are reflected in future platform architecture.
• Monitoring & Optimization: Implement and monitor real-time integration performance for external clients. Identify bottlenecks, optimize data flows, and ensure systems can scale according to the growing needs of customers.
• Support Security & Compliance: Ensure that all externally facing integration solutions adhere to the highest security standards, including encryption and access control, and comply with industry-specific regulations. Address any potential vulnerabilities or compliance gaps proactively.

Required Skills & Experience:

• API Expertise: 5-10 years of experience in data integration with strong focus on Python API implementation (preferably RESTful APIs and FastAPI).
• Data Model Mastery: Proven expertise in managing data models and system workflows in the alternative investment ecosystem, working with fund administrators, custodians, and other service providers.
• Cloud Architecture Experience: Experience developing within modern cloud-based architectures (e.g. AWS, Azure, GCP)
• Technical Leadership: A strong track record of leading complex integration projects from start to finish, including requirements gathering, design, and implementation.
• Problem Solving: Strong problem-solving skills with the ability to debug complex integration issues and provide scalable, reliable solutions.
• Project Management: Ability to manage multiple projects simultaneously, ensuring technical excellence and meeting client deadlines.