Jobs

Job Description

Are you a Java Developer working at a Large Financial Institution and being told by your leadership that you are too hands on or detail oriented or think and work like a start-up?

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!

We are looking forward to you joining our Platform Engineering Team.

Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.

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We are looking for Engineers who can

- Write applications in Java using Object Oriented Design Principles

- Create Java Spring Boot REST Services

- Use Java Streams API to work with real time data

- Create a Java Thread Executor Pool to read & write from a Thread-safe queue

- Use Java Lambdas for use in Collections

- Create Distributed Cloud Configuration with Spring Cloud

- Create Circuit Breakers with Spring Cloud

- Create a Database Integration via Hibernate or Spring Data

- Optimize business logic & SQL queries to enhance performance by 50+%

- Setup Kafka to support 10mm messages / hr throughput on 2KB payloads

- Deploy a Kafka Multi-AZ Cluster on AWS

- Build Services that are Highly Available (Multi-AZ & Multi-Region)

- Build Algorithms to Optimize Execution times and reduce end to end latency

- Use & Tweak Terraform Scripts to deploy Kubernetes Clusters with EKS

- Navigate & debug Java Apps on a Linux EC2 Instance

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Qualifications

• Bachelor's degree in Computer Science, or a related field is preferred. Relevant work experience may be considered in lieu of a degree.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
• Proven leadership abilities, with experience mentoring junior developers and driving technical excellence within the team.

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We work closely with

• Java 8‍

• REST-based Microservices‍

• Hibernate ORM

• Relational Databases

• AWS

• Kafka

• Linux / Unix

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List of Skills

• Java

• Spring

• Hibernate

• Unix

• RESTful APIs

• Microservices

• AWS

• Kafka

• Event-driven Architecture

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Experience Needed

- At least 7 years of Java Experience

- At least 7 years of RESTful APIs  Experience

- At least 7 years of UNIX  Experience

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Our Process

- Schedule a 15 min Video Call with someone from our Team

- 4 Proctored GQ Tests (< 2 hours)

- 30-45 min Final Video Interview

- Receive Job Offer

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If you are interested in reaching out to us, please apply and our team will contact you within the hour.

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Job Description

Are you a Data Engineer working at a Large Financial Institution and being told by your leadership that you are too hands-on or detail-oriented or think and work like a start-up?

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!

We are looking forward to you joining our Platform Engineering Team.

Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps that support the backbone of the Financial Trading Industry.

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We are looking for Engineers who can

• Design, develop, and maintain data pipelines to ingest, transform, and load data from various sources into Snowflake.
• Implement ETL (Extract, Transform, Load) processes using Snowflake's features such as Snowpipe, Streams, and Tasks.
• Design and implement efficient data models and schemas within Snowflake to support reporting, analytics, and business intelligence needs.
• Optimize data warehouse performance and scalability using Snowflake features like clustering, partitioning, and materialized views.
• Integrate Snowflake with external systems and data sources, including on-premises databases, cloud storage, and third-party APIs.
• Implement data synchronization processes to ensure consistency and accuracy of data across different systems.
• Monitor and optimize query performance and resource utilization within Snowflake using query profiling, query optimization techniques, and workload management features.
• Identify and resolve performance bottlenecks and optimize data warehouse configurations for maximum efficiency.
• Work on Snowflake modeling – roles, databases, schemas, ETL tools with cloud-driven skills
• Work on SQL performance measuring, query tuning, and database tuning
• Handle SQL language and cloud-based technologies
• Set up the RBAC model at the infra and data level.
• Work on Data Masking / Encryption / Tokenization, Data Wrangling / ECreLT / Data Pipeline orchestration (tasks).
• Setup AWS S3/EC2, Configure External stages, and SQS/SNS
• Perform Data Integration e.g. MSK Kafka connect and other partners like Delta Lake (data bricks)

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Qualifications

• Bachelor's degree in Computer Science, or a related field is preferred. Relevant work experience may be considered in lieu of a degree.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
• Proven leadership abilities, with experience mentoring junior developers and driving technical excellence within the team.

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We work closely with

• Data Wrangling
• ETL
• Talend
• Jasper
• Java
• Python
• Unix
• AWS
• Data Warehousing
• Data Modeling
• Database Migration
• RBAC model
• Data migration

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Experience Needed

• At least 7 years of Data Wrangling Experience
• At least 7 years of Snowflake Experience
• At least 7 years of ETL  Experience

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Our Process

• Schedule a 15 min Video Call with someone from our Team
• 4 Proctored GQ Tests (< 2 hours)
• 30-45 min Final Video Interview
• Receive Job Offer

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If you are interested in reaching out to us, please apply and our team will contact you within the hour.

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Job Description

Are you a ReactJS Developer working at a Large Financial Institution and being told by your leadership that you are too hands on or detail oriented or think and work like a start-up?

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!

We are looking forward to you joining our Platform Engineering Team.

Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.

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We are looking for Engineers who can

• Write ReactJS applications in Typescript & JavaScript
• Migrate React Components from Class Components to Function Components
• Implement Data Caching in a React App
• Use React Hooks for In-Component State Management
• Use CSS Variables or TailwindCSS to enable dynamic styling
• Add a Dark Mode to an Existing React App
• Add Internationalization & Localization to an Existing React App
• Define Unit, Integration, & E2E Test Structure for a New React App
• Add SSR to your ReactJS Apps via NextJS
• Deploy & Host a ReactJS App in AWS (Multi-AZ & Multi-Region)
• Create React Apps which consume REST APIs
• Evaluate Pros & Cons of New UI Frameworks (Svelte, SolidJS, Qwik)
• Use Storybook to Document & Catalog a React UI Component Library
• Setup a npm / yarn / pnpm Monorepo for a UI Component Library
• Debug React Apps deployed in an AWS Unix Environment (EC2 / ECS / EKS)

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Qualifications

• Bachelor's degree in Computer Science, or a related field is preferred. Relevant work experience may be considered in lieu of a degree.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
• Proven leadership abilities, with experience mentoring junior developers and driving technical excellence within the team.

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We work closely with

• ReactJS
• Typescript
• CSS3
• HTML5
• Jest & Enzyme
• REST APIs
• AWS

Experience Needed

• JavaScript: 5 years (Preferred)
• CSS: 5 years (Preferred)
• REST API: 5 years (Preferred)

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Our Process

• Schedule a 15 min Video Call with someone from our Team
• 4 Proctored GQ Tests (< 2 hours)
• 30-45 min Final Video Interview
• Receive Job Offer

If you are interested in reaching out to us, please apply and our team will contact you within the hour.

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We are looking for Architects who can

• Must be willing to work On-site in or Reston VA office 5 days a weekProvide technical expertise in Solution Architecture, Development and Technical Design decisions.
• Assess customer business and technical requirements, define scope and provide estimates for solutions across numerous verticals and industries.
• Validate proposed project scoping with internal stakeholders including project managers, technical leads, designers, strategists and project teams.
• Able to communicate architectural decisions to a varied audience including business and technology stakeholders from the conceptual to the physical perspectives.
• Able to recognize and balance functional and nonfunctional requirements to ensure the optimal solution for the end customer.
• Evaluate and recommend Tools, Technologies, and Processes to ensure the highest quality product platform.
• Work on the architecture, design, development, deployment and support of software projects using Java, AWS.
• Work on AWS cloud platforms including automated provisioning and management of services.
• Work on containers and a container orchestration platform, preferably Kubernetes.
• Work on ORM specifications - Spring Data, JPA, Hibernate.
• Absorb and incorporate new technologies/frameworks quickly.
• Collaborate with peer organisations, quality assurance and end users to produce cutting-edge software solutions.
• Troubleshoot code level problems quickly and efficiently.
• Be team first mentality.
• Be adaptable to changing project and technology requirements while being hands-on with project teams.

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Qualifications

• Bachelor's degree in Computer Science, or a related field is preferred. Relevant work experience may be considered in lieu of a degree.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
• Proven leadership abilities, with experience mentoring junior developers and driving technical excellence within the team.

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We work closely with

• Java 8
• REST-based Microservices
• JPA,Hibernate
• Relational Databases
• SVG Libraries
• Java AWT API
• Apache XmpBox
• Pdf box
• Apache batiK
• SVN, GIT
• AWS
• Kafka
• Linux / Unix

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Experience:

• Java: 7 years (Preferred)
• RESTful API: 7 years (Preferred)
• UNIX: 7 years (Preferred

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Our Process

• Schedule a 15 min Video Call with someone from our Team
• 4 Proctored GQ Tests (< 2 hours)
• 30-45 min Final Video Interview
• Receive Job Offer

If you are interested in reaching out to us, please apply and our team will contact you within the hour.

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Job Description

Are you an Artificial Intelligence Expert working at a Large Financial Institution and being told by your leadership that you are too hands-on or detail-oriented or think and work like a start-up?

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!

We are seeking an experienced Artificial Intelligence (AI) Technical Advisor to provide expert guidance and strategic direction in AI-related initiatives and projects. The AI Technical Advisor will play a key role in advising senior leadership, collaborating with cross-functional teams, and driving the development and implementation of AI solutions. The ideal candidate will have a deep understanding of AI technologies, industry trends, and best practices, along with a proven track record of successfully implementing AI projects in complex environments.

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We are looking for someone who can

• Strategic Guidance: Provide strategic advice and insights to senior leadership on leveraging AI technologies to achieve business objectives and drive innovation.
• Apply knowledge in quantitative analysis, machine learning, statistical modeling, and software development to data analysis problems for our sponsors.
• Work independently and on teams to engineer automated solutions for sponsor mission challenges. Advise and lead large AI teams.
• Explore promising research and maintain/gain the technical edge required for projects. Share and develop new approaches and methods.
• Collaborate to document and support software analytics, and clearly present status and results to internal and external stakeholders.
• Collaborate with stakeholders to identify AI opportunities and define strategic AI initiatives aligned with organizational goals.
• Technical Expertise: Stay abreast of the latest advancements and trends in AI technologies, machine learning, natural language processing, computer vision, and related fields.
• Evaluate emerging AI technologies and assess their potential impact on the organization's business processes and competitive advantage.
• Project Leadership: Led the design and implementation of AI projects from conception to deployment, ensuring alignment with business requirements and technical feasibility.
• Provide technical leadership and guidance to cross-functional teams, including data scientists, engineers, and developers, throughout the project lifecycle.
• Solution Architecture: Collaborate with architecture teams to design scalable and robust AI solutions that meet performance, security, and scalability requirements.
• Develop architectural patterns and best practices for AI development and deployment in enterprise environments.
• Technical Evaluation and Due Diligence: Conduct technical evaluations and due diligence on AI platforms, tools, and third-party vendors to assess their suitability for integration into the organization's ecosystem.
• Provide recommendations and make informed decisions based on technical assessments and evaluations.
• Collaboration and Communication: Foster collaboration and knowledge sharing across teams by providing technical guidance, training, and mentorship in AI technologies and methodologies.
• Communicate complex technical concepts and insights to non-technical stakeholders clearly and understandably.
• Quality Assurance and Governance: Establish quality assurance processes and governance frameworks for AI projects to ensure adherence to best practices, regulatory requirements, and ethical guidelines.
• Monitor and evaluate AI models and solutions to ensure ongoing performance, reliability, and compliance.

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Qualifications

• Bachelor's degree in Computer Science, or a related field is preferred. Relevant work experience may be considered in lieu of a degree.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
• Proven leadership abilities, with experience mentoring junior developers and driving technical excellence within the team.

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We work closely with

• Artificial Intelligence  
• Machine learning
• Tensorflow
• Caffe
• CNTK
• Java
• Python
• C# & C++

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Experience Needed

• At least 7 years of Artificial Intelligence Experience
• At least 7 years of Machine learning experience
• At least 7 years of Java experience
  

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Our Process

• Schedule a 15 min Video Call with someone from our Team
• 4 Proctored GQ Tests (< 2 hours)
• 30-45 min Final Video Interview
• Receive Job Offer

If you are interested in reaching out to us, please apply and our team will contact you within the hour.

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Job Description

Imagine working at Intellibus which impact billions of lives around the world. With your passion and focus we will accomplish great things together!

We are looking forward to you joining our HR/Admin team as an HR/Admin Assistant to support our human resources/Admin department in various administrative tasks and functions. This remote position requires excellent organizational skills, attention to detail, and the ability to maintain confidentiality. HR/Admin Assistant  will be crucial in assisting with recruitment, employee onboarding, record-keeping, and other HR-related activities.

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Responsibilities:

Employee Onboarding:

• Prepare new hire paperwork, including employment contracts and onboarding forms.
• Coordinate orientation sessions for new employees and ensure a smooth onboarding experience. Assist in setting up new employee accounts and access to company systems.
  

HR Administration:

• Maintain and update employee records and HR databases with accurate information.
• Process employee documentation related to hiring, promotions, transfers, and terminations.
• Respond to employee inquiries regarding HR policies, benefits, and other related matters.
  

Payroll Support: Collaborate with the payroll department to ensure accurate processing of employee payroll. Assist in verifying timesheets, tracking attendance, and resolving payroll discrepancies.

Compliance and Reporting: Assist in ensuring compliance with employment laws and regulations. Prepare HR-related reports and documentation as needed for audits and compliance purposes.

Special Projects and Initiatives:

• Assist with special projects and initiatives as assigned by the executive team.
• Conduct research, compile data, and prepare reports to support decision-making processes.
  

Calendar Management:

• Manage and coordinate executive calendars, including scheduling meetings, appointments, and travel arrangements.
• Anticipate scheduling conflicts and proactively resolve them to optimize executive productivity.

Meeting Coordination:

• Arrange and coordinate internal and external meetings, including preparing agendas, briefing materials, and meeting minutes.
• Ensure meeting rooms are set up and necessary resources are available for successful meetings.
  

Communication Management:

• Serve as the primary point of contact for the executive team, screening and directing incoming calls and emails.
• Draft and prepare correspondence, reports, presentations, and other documents on behalf of the executives.

Travel Arrangements:

• Coordinate complex domestic and international travel arrangements, including flights, accommodations, transportation, and visa requirements.
• Prepare detailed travel itineraries and provide necessary information to executives for seamless travel experiences.

Administrative Support:

• Perform various administrative tasks such as filing, expense tracking, and invoice processing.
• Manage office supplies and equipment, ensuring efficient operation of the executive office.
• Provide general administrative support to the HR team, including scheduling meetings, managing calendars, and organizing departmental events.
• Assist in preparing HR-related documents, presentations, and correspondence.

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Qualifications and Skills:

• Proven experience as an HR Assistant or in a similar administrative role.
• Excellent organizational skills and attention to detail.
• Detail-oriented with a high degree of accuracy in all work.
• Ability to work independently and collaboratively in a team environment.
• Discretion and confidentiality in handling sensitive information.
• Proficient in Microsoft Office & Google Suite (Word, Excel, PowerPoint) and HRIS software.
• Strong communication skills, both written and verbal.
• Ability to maintain confidentiality and handle sensitive information with discretion.
• Familiarity with HR processes and procedures.
• Bachelor's degree in Human Resources, Business Administration, or a related field (preferred).
• Remote work experience and proficiency in virtual collaboration tools (preferred).

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Experience Needed

• At least 3 years of Admin Assistant Experience
• At least 3 years of Admin Experience
• At least 3 years of Executive Assistant experience

Our Process

• Schedule a 15 min Video Call with someone from our Team
• 4 Proctored GQ Tests (< 2 hours)
• 30-45 min Final Video Interview
• Receive Job Offer

If you are interested in reaching out to us, please apply and our team will contact you within the hour.

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Job Description

Are you a MLOps Engineer working at a Large Financial Institution and being told by your leadership that you are too hands-on or detail-oriented or think and work like a start-up?

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!

We are looking forward to you joining our Platform Engineering Team.

Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.

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We are looking for someone who can

• Collaborate with stakeholders to define MLOps strategies aligned with business objectives and technical requirements. Assess current infrastructure, processes, and tooling to identify gaps and opportunities for MLOps implementation.
• Design, Develop, and Implement end-to-end ML deployment pipelines for model training, perform validation, deployment, and monitoring. Automate data ingestion, feature engineering, model training, and do evaluation processes using tools like Apache Airflow, Kubeflow, or MLflow.
• Architect and deploy scalable infrastructure for ML workloads using cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Implement infrastructure as code (IaC) practices for provisioning and managing ML infrastructure using tools like Terraform or AWS CloudFormation.
• Deploy ML models into production environments using containerized solutions and orchestration platforms.
• Implement model monitoring and logging solutions to track model performance, data drift, and model drift in production.
• Perform Integration and Deployment (CI/CD), Establish CI/CD pipelines for automated testing, validation, and deploy ML models using tools like Jenkins, GitLab CI/CD, or CircleCI.
• Implement version control and model versioning practices to manage changes and updates to ML models.
• Implement security best practices for securing ML infrastructure, data, and models in compliance with regulatory requirements. Establish governance policies and access controls for managing and monitoring ML artifacts and resources.
• Provide training and mentorship to data scientists, engineers, and stakeholders on MLOps practices, tools, and methodologies. Foster a culture of collaboration and continuous improvement in MLOps adoption across the organization.
• Work closely with clients to understand their MLOps needs, assess their current ML infrastructure, and recommend solutions for MLOps implementation. Provide clients strategic guidance and technical expertise in adopting MLOps practices and optimizing their ML deployment pipelines.

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Qualifications

• Bachelor's degree in Computer Science, or a related field is preferred. Relevant work experience may be considered in lieu of a degree.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
• Proven leadership abilities, with experience mentoring junior developers and driving technical excellence within the team.

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We work closely with

• Java Script
• Scala
• Apache Airflow
• MLflow
• Kubeflow
• ML Ops
• CI/CD
• ECS/ECR
• Jenkins
• REST APIs
• GitLab
• Python
• Jfrom
• PyTorch
• TensorFlow
• AWS
• Python
• Java
• UNIX
• Google Cloud

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Experience Needed

• At least 7 years of Data Wrangling Experience
• At least 7 years of MLOps Experience
• At least 7 years of ETL  Experience
  

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Our Process

• Schedule a 15 min Video Call with someone from our Team
• 4 Proctored GQ Tests (< 2 hours)
• 30-45 min Final Video Interview
• Receive Job Offer

If you are interested in reaching out to us, please apply and our team will contact you within the hour.

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