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Required Backend Data Engineer
As part of the role you will have the opportunity to:
Build end-to-end development of data infrastructure features, scalable data processing, database interaction and integration with CI/CD.
Take part in expanding our core data platform solutions, build new pipelines from scratch that ingest and process data at scale.
Work across a rich stack of technologies from Apache Kafka, Apache Storm, NoSQL, and relational databases.
Analyze and optimize performance, scalability, and stability of our product environments.
Work closely with the data-science team to implement production grade pipelines based on AI research.

In this role, you will play a key part in ensuring the quality and reliability of our software products. You will be responsible for designing test plans, developing and maintaining automated test suites, and promoting a quality-first approach across engineering teams. This position is ideal for someone who is passionate about test automation, continuous improvement, and delivering exceptional user experiences.



Responsibilities:

Design, develop, and execute test plans and automated test cases for desktop, server, API, and mobile applications.
Maintain and extend existing automation frameworks and tools.
Collaborate with developers, product managers, and DevOps to identify test requirements early in the development lifecycle.
Perform exploratory testing to uncover edge cases and usability issues.
Analyze test results and work with teams to troubleshoot and resolve issues.
Promote best practices for testing and quality assurance throughout the organization.
Participate in code reviews for test automation and contribute to test strategy discussions.
Monitor and improve test coverage, test reliability, and CI/CD integration.

The CSO Office is seeking an Application Security Team Lead. In this role, you will manage an application security team that focuses on building and running tools to secure the application landscape at scale, as well as conducting vulnerability research. You will work closely with the R&D and DevOps teams and serve as the focal point for identifying and resolving complex security challenges. This is a hands-on Team Lead position, a development-focused role that ensures our products adhere to the stringent security requirements of our thousands of customers.

As an Application Security Team Lead you will
Lead and mentor the Application Security team.
Develop and implement security automation solutions.
Conduct code reviews and vulnerability assessments.
Perform penetration testing (PT) and other offensive security activities.
Manage security projects and initiatives within complex SaaS environments.
Collaborate with development teams to integrate security into the Software Development Lifecycle (SDLC).
Develop and maintain security policies and procedures.
Provide technical guidance and expertise on application security best practices.
Report on security metrics and project progress to stakeholders.

We are currently seeking a Senior QA Engineer to contribute to the success of our rapidly growing business.
As a Senior QA Engineer, you will:
Design and execute test plans and test suites to validate functionality, performance, scalability, and security.
Report bugs and errors to development teams
Help troubleshoot issues
Work with cross-functional teams to ensure quality throughout the software development lifecycle
Work on different devices, OS, and browser platforms
Build complex integration environments
Lead the manual QA effort in the team
Collaborate with cross-functional teams (development, product, DevOps, and QA) to define, review, and validate quality requirements across the development lifecycle.

As a Senior Software Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc. You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.

As a Senior Software Engineer ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.

The CSO Security team is looking for a Senior Application Security Researcher. In this role, you will perform vulnerability research, assess existing architectures, and build and run tools to secure the application landscape at scale. You will work closely with R&D and DevOps teams and be the focal point for identifying and solving complex security challenges. This is a hands-on, development-focused role with the goal of ensuring our products adhere to the stringent security requirements of our thousands of customers.

As a Senior Application Security Researcher you will
Continuously assess and challenge our overall security posture to ensure optimal and up-to-date platform security in our products and systems.
Evaluate architecture, design, and code to ensure they are free from potential vulnerabilities and security risks.
Train and mentor developers about security frameworks, testing, vulnerabilities, and best practices to ensure code compliance.
Evaluate new technologies and standards in the application security domain.
Plan and lead cross-company efforts with the R&D that will improve our security posture.

We are looking for applicants who will thrive in an open, dynamic, flexible, fun-spirited, collaborative environment and desire creative freedom and an opportunity to work on high performing teams!
We deliver high quality productivity tools to the company workplace. Currently we are re-imagining and developing several of the key tools that are used internally by our customers on a daily basis.
We are looking for developers with experience using state of the art engineering, development and DevOps methodologies. In this fast pace and expanding organization, we foster an environment of continuous innovation and working in agile teams. You will play a major role and you will collaborate with other teams to create scalable solutions in a public cloud environment.

We are seeking an experienced Data Engineer with a strong background in BI and Data Engineering, excellent problem-solving skills, and the ability to work independently and learn quickly.
Role Overview
You will join a dynamic team responsible for designing and implementing end-to-end data solutions on the Microsoft Fabric platform. This role involves:
Building and maintaining robust data processes.
Driving adoption of new technology within the organization.
Ensuring scalability, performance, and reliability of data solutions.
Responsibilities:
Collaborate with leaders, stakeholders, and product managers to understand data requirements and deliver effective BI solutions.
Design, develop and maintain robust data pipelines for efficient data ingestion, processing, and storage.
Optimize data storage and retrieval processes for optimal performance.
Monitor data pipelines and systems consistently to identify performance issues, ensuring timely maintenance and troubleshooting.
Create and maintain documentation of data processes and systems.

As a Customer Success Knowledge Manager you will...
Transform the way content is presented to our customers by implementing innovative solutions in our Help Center.
Manage and direct the creation of professional and creative content.
Work with the teams researchers to measure content effectiveness, set targets, and if necessary revise content until user targets are met and engagement increases.
Work with the teams developers to automate publication and validation processes.
Interact with our customers to better understand how they use our content.
Foster a culture of knowledge-sharing, contribution, and transparency.
Build relationships and identify partners across the organization to help promote a knowledge everywhere approach.

Were looking for an experienced and passionate Customer Success Manager to ensure Veritis customers achieve maximum value from our solution. You will play a vital role in Onboarding, driving adoption, and nurturing customer relationships. You will be the customer's advocate within Veriti and a strategic partner they trust.

Key Responsibilities
Lead smooth customer onboarding and ongoing relationship management.
Act as the primary customer point of contact, ensuring satisfaction and retention.
Proactively guide customers to realize the full value of Veritis platform.
Troubleshoot product issues, coordinate with technical teams, and ensure timely resolution.
Translate customer needs into product insights for R&D and Product teams.
Develop customer success assets - playbooks, FAQs, and troubleshooting guides.
Manage and update CRM or CSM tools to reflect key activities, renewals, and sentiment.
Collaborate cross-functionally with Sales, Product, DevOps, and Marketing.
Contribute to the support playbook, SLAs, and proactive service improvements.

?? Senior data Scientist
Join a team building ML-driven products that outperform the investment market
Were looking for an experienced Senior data Scientist to join a strong data Science team and make a real impact by designing and deploying advanced Machine Learning solutions in a production environment.
What Youll Do
Design, research, develop, and implement predictive ML models for complex business problems
Serve as a focal point for classical ML algorithms, LLM implementation, and statistical methodologies
Build and maintain scalable data pipelines and ML infrastructure
Collaborate closely with backend, data Engineering, DevOps, frontend teams, and investment portfolio managers
Stay up to date with advancements in MLOps, time-series prediction, and Gen-AI
Requirements
B.Sc. in Machine Learning, Computer Science, Software Engineering, Statistics, or a related field
5+ years of hands-on experience as a data Scientist in a startup environment
Proven experience with time-series prediction and tabular data, including ML model productization
Strong coding skills in Python and SQL (efficient, scalable ML code)
Experience deploying ML models to production (scalability, reliability, Real-Time processing)
Strong communication skills and ability to present actionable insights
Proactive, innovative, and independent mindset
Passion for continuous learning and adaptability
Preferred Qualifications
M.Sc. or Ph.D. in a quantitative field
Experience fine-tuning and deploying LLMs (Hugging Face, vLLM, SageMaker)
Experience with AWS, Airflow, Docker, Kubernetes, MLflow

Were looking for a Senior Software Developer who combines strong technical skills with product intuition and a sense of ownership. Youll work across the stack - from infrastructure to backend services and intuitive UI/UX - building scalable, high-impact systems that shape how organizations secure their AI.
What youll do
Own and run major features and subsystems end-to-end youll take ideas from concept to production and beyond (monitoring, iteration, refinement).
Work across the full stack: infrastructure, platform, backend services, APIs, and UI/UX. Youll be comfortable shifting between how do we deploy this reliably to how does the user experience this.
Drive team culture of ownership, craftsmanship, iteration and delivery: were not just about shipping features but owning the outcome, learning fast, and improving continuously.
Mentor and support other engineers: bring in the best practices of maintainability, scalability, reliability, and product thinking.

We are looking for an experienced Senior Full Stack Engineer to join our fast-growing company during a breakthrough stage as we build our dream team of passionate professionals. Our team delivers high-quality, unique code using the latest technologies and frameworksall while enjoying the ride!

What Youll Do:
Tackle complex technical challenges at the architecture, code, and product levels, balancing practicality with innovation.
Contribute to all aspects of development, from design to production, for a wide hybrid/cloud-native product.
Write high-quality, testable, and efficient code in Java, Go, Python, VueJS, TypeScript, and other cutting-edge tools.
Promote continuous improvement of product functionality and performance.
Mentor and guide new team members.
Participate in developing and maintaining CI/CD pipelines, leveraging Kubernetes, Docker, and cloud infrastructure.

We are looking for an experienced Senior Full Stack Engineer to join our fast-growing company during a breakthrough stage as we build our dream team of passionate professionals. Our team delivers high-quality, unique code using the latest technologies and frameworksall while enjoying the ride!

What Youll Do:
Tackle complex technical challenges at the architecture, code, and product levels, balancing practicality with innovation.
Contribute to all aspects of development, from design to production, for a wide hybrid/cloud-native product.
Write high-quality, testable, and efficient code in Java, Go, Python, VueJS, TypeScript, and other cutting-edge tools.
Promote continuous improvement of product functionality and performance.
Mentor and guide new team members.
Participate in developing and maintaining CI/CD pipelines, leveraging Kubernetes, Docker, and cloud infrastructure.

We are looking for a Senior Data Engineer to build and operate a multi-tenant analytics platform on AWS + Kubernetes (EKS), delivering streaming and batch pipelines via GitOps as a Platform-as-a-Service (PaaS).
Responsibilities:
Ingestion pipelines: Build and operate Flink / Spark streaming and batch jobs ingesting from Kafka, S3, APIs, and RDBMS into OpenSearch and other data stores.
Platform delivery: Provide reusable, multi-tenant pipelines as a self-service PaaS.
Workflow orchestration: Manage pipeline runs using Argo Workflows.
GitOps delivery: Deploy and operate pipelines via ArgoCD across environments.
IaC & AWS: Provision infrastructure with Terraform and secure access using IAM / IRSA.
Reliability: Own monitoring, stability, and troubleshooting of production pipelines.
Collaboration: Work with product, analytics, and infra on schemas and data contracts.