Front of House Coordinator

Senior Machine Learning Engineer (Production & MLOps Focus)

Lead AI Engineer

Business Intelligence Developer

Analytics Lead (AD&M Business Unit)

Frontend Sr/Lead Developer

Software Development Engineer in Test

Senior SDET – Microservices Focus

QA Lead

Senior Data Scientist II

Role Description: <ul><li>The driving force behind the scanning platform at Client Dive into the forefront of innovation with our Gateway Security team, where we scan massive volumes of email traffic for our customers! Our pioneering Email Platform pushes on the boundaries of what’s possible, leveraging the latest technologies and tooling in AWS. Why Join Our Team? “The Gateway Security team, within the Threat Protection group, is responsible for developing the cutting edge scanning technology at the heart of Client protection stack, scanning over 2 billion emails, files, and URLs daily.</li><li>If you’re interested in solving customer challenges at immense scale, then this is the role for you!”</li></ul> Responsibilities: <ul><li>Initial point of contact for all Client in the Bengaluru office.</li><li>Be part of the global Client facilities team and assist the teams in other regions as required.</li><li>Coordinate first aid and fire safety as per building and statutory requirements.</li><li>Meet and greet clients and visitors, ensure Client visitor processes are followed.</li><li>Ensure effective and professional telephone communications by answering any incoming calls, taking messages and/or forwarding to the individual.</li><li>Sort daily post/deliveries/couriers, manage invoicing from landlord and suppliers.</li><li>Arrange catering for meetings and events as required.</li><li>Ensure daily checks of offices and kitchen areas, purchase office consumables as required, including beverages and food items and refreshment facilities.</li><li>Ensure the office is consistently kept in the best state including periodic checks of cleaning and maintenance with landlord and appointed contractors.</li><li>Liaise with building management, submitting maintenance request’s and raising permits.</li><li>Work with Regional IT and liaise with regional team and suppliers, including issuance of staff access passes, assist with supply and return of IT equipment and access for maintenance contractors.</li><li>Help out with planning of company events.</li><li>Within this position, the successful candidate will also be tagging assets, taking count of returned items - fixed asset management duties are listed in the job spec.</li><li>Including: new assets being purchased and a log of asset tags will need to be maintained.&nbsp;</li></ul> Requirements: <ul><li>2 – 4 years of administrative experience.&nbsp;</li><li>Proficiency with Microsoft Office, Word, Excel, and PowerPoint&nbsp;</li><li>Outstanding organizational skills, accuracy and attention to detail and the ability to multitask.</li><li>Written and verbal skills with strong grammatical, proofreading, typing and note taking skills.</li><li>Ability to work independently, flexibly and use discretion.</li><li>Excellent interpersonal skills, including a pleasant positive demeanor and a proactive approach.</li><li>A solid understanding of the goals and objectives of the business and their own personal goals.</li><li>Recognize that customer satisfaction is a principle measure of our business and our values.</li><li>Instinctively find practical solutions to complex problems.</li><li>Expect to encounter change and take ownership of your job.&nbsp;</li><li>Find new ways to win and share those victories with the team.&nbsp;</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Oversee the design, development, and deployment of AI models and intelligent agents.</li><li>Ensure engineering best practices in model development, testing, and deployment.</li><li>Collaborate with IT and data teams to ensure scalable and secure integration of AI solutions.</li><li>Work closely with business and technical stakeholders to understand requirements and deliver impactful AI solutions.</li><li>Communicate effectively with global teams, bridging technical and business perspectives.</li><li>Support change management and adoption of AI tools across business units.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI&nbsp;</li></ul> Requirements: Basic Qualifications:<ul><li>10+ years of experience in software engineering, data science, AI, or a related field.</li><li>2+ years of experience in leadership role managing technical teams.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS. </li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Bachelor’s or master’s in computer science, Mathematics, Statistics, or a related field.</li></ul> Preferred Qualifications:<ul><li>Experience working in a global enterprise or matrixed organization.</li><li>Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools.</li><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Experience in applications to sales, marketing, and market research&nbsp;</li></ul>

Responsibilities: <ul><li>Client is seeking a skilled Business Intelligence Developer to design, build, and maintain enterprise-scale data products and data sources using platforms like Tableau and Streamlit.</li><li>The ideal candidate will be a detail-oriented developer with strong technical skills who can translate business requirements into robust analytical solutions.</li><li>This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships and collaborate to solve problems.</li><li>Design, develop, and maintain interactive data products and reports in Tableau, Streamlit, and other BI tools.</li><li>Build and optimize data sources, ensuring data integrity and performance at enterprise scale</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Develop scalable data product solutions that can accommodate growing user bases and data volumes.</li><li>Implement best practices for data product design, data modeling, and visualization techniques.</li><li>Monitor data product performance and user adoption, making improvements as needed.</li><li>Maintain documentation for data products, data sources, and development processes.</li><li>Troubleshoot and resolve technical issues with existing data products and data connections.</li><li>Support data governance initiatives by ensuring consistent data definitions and calculations across reports.</li><li>Participate in code reviews and maintain version control for BI development projects.</li><li>Stay current with BI tool updates and emerging visualization technologies.</li><li>Provide technical support to end users and assist with data product-related questions.</li><li>Contribute to the development of reusable components and templates for efficiency gains.</li></ul> Requirements: Qualifications <ul><li>3+ years in the data space as an analyst, engineer, or equivalent.</li><li>3+ years experience designing, implementing, operating, and extending enterprise dimensional models.</li><li>3+ years working with a large-scale data warehouse, preferably in a cloud environment.</li><li>3+ years of hands-on experience developing data products and reports in Tableau, including advanced calculations, parameters, and complex visualizations.</li><li>Experience with Streamlit or similar Python-based data product frameworks.</li><li>Experience with modern data stack technologies including cloud data warehouses (AWS/Snowflake) and ELT tools.</li><li>1+ years maintaining a project workstream to identify tasks, milestones, and deliverables.</li><li>Bachelors degree in Computer Science, Information Systems, Mathematics,</li></ul>

Responsibilities: Business Engagement &amp; Demand Shaping <ul><li>Partner with business leaders to identify high-value analytics, data science, and AI opportunities.</li><li>Prioritize and deliver data-driven use cases aligned with business goals and measurable value.</li><li>Establish a demand management framework to connect business needs with data capabilities.</li></ul> One Data Platform Adoption <ul><li>Drive adoption of enterprise data platforms, ensuring alignment with BU requirements.</li><li>Serve as a strategic advisor on data integration and self-service analytics.</li><li>Collaborate with technology teams to improve data accessibility, governance, and security.</li></ul> Legacy System Reduction &amp; Modernization <ul><li>Collaborate across IT and Data Engineering to retire legacy systems and migrate to modern platforms.</li><li>Track KPIs for system decommissioning and infrastructure optimization.</li><li>Oversee seamless data migrations while controlling costs.</li></ul> Data &amp; AI Literacy / Culture Building <ul><li>Lead initiatives to improve Data &amp; AI literacy, enabling confidence in data-driven decisions.</li><li>Develop and execute training strategies for self-service analytics adoption.</li><li>Foster a data-first culture by sharing success stories and best practices across the BU.</li></ul> Requirements: Qualifications &amp; Experience <ul><li>5+ years in data and analytics leadership roles with proven AI/ML adoption experience.</li><li>Strong ability to translate business needs into data strategies with measurable outcomes.</li><li>Expertise in enterprise data platforms, cloud architectures, and AI/ML technologies.</li><li>Experience in data governance, compliance, and AI ethics.</li><li>Skilled at engaging and influencing executives and cross-functional teams.</li><li>Proven success in driving organizational change and data literacy programs.</li><li>Preferred: experience in manufacturing, operations, or supply chain.</li><li>Familiarity with modern platforms such as Databricks, Snowflake, Azure, AWS, or GCP.</li></ul>

Responsibilities: <ul><li>Develop distributed system architecture and system integration&nbsp;&nbsp;</li><li>Design event-driven applications leveraging microservices architecture on cloud platform&nbsp;</li><li>Carry out Model and assess complex IT solutions&nbsp;&nbsp;</li><li>Work closely with platform engineers and other IT professionals to choose compatible design solutions&nbsp;</li><li>Manage and comply with release management process&nbsp;</li><li>Analyze the scope and expected organizational impact of information systems&nbsp;</li><li>Evaluate existing systems and provide advice on how to meet organizational requirements&nbsp;</li><li>Ensure that the technical components of the project are in sync with the business needs of the organization&nbsp;</li><li>Ensure that information systems are secure from threat&nbsp;</li><li>Provide advice on project design, project costs, and expected benefit&nbsp;</li><li>Identifies technical debt and proactively recommends alternatives or improvements&nbsp;</li></ul> Requirements:﻿ <ul><li>University degree in Computer Science, Computer Engineering or related subjects preferred.&nbsp;&nbsp;</li><li>9+ years of work experience building applications.&nbsp;</li><li>Advanced understanding of IT infrastructure and enterprise architectures.&nbsp;</li><li>Proven experience with microservices-based architecture.&nbsp;</li><li>Proficiency in coding with modern OOP programming languages such as Java and Kotlin experience is a must.&nbsp;</li><li>API-first development experience.&nbsp;</li><li>Extensive experience with Cloud Computing (AWS preferable).&nbsp;</li><li>Expertise in any modern document-oriented database, with a preference for MongoDB&nbsp;</li><li>Experience in developing components for Event-Driven Architecture, with a minimum of production-level experience.&nbsp;&nbsp;</li><li>Experience working in an agile environment with a focus on engineering practices like testing, continuous integration etc.&nbsp;</li><li>Data Migration experience.&nbsp;</li><li>Good knowledge of virtualization.&nbsp;&nbsp;</li><li>Analytics mindset with critical thinking and problem-solving skills.&nbsp;</li><li>Fine knowledge of industry trends and emerging technologies.&nbsp;</li><li>Fluent in English.</li></ul>

Responsibilities: <ul><li>Contribute to planning, estimation, and refinement of stories, epics, and design changes as part of an Agile Scrum team.</li><li>Build out test strategies and plans to cover new areas of functionality, ensuring all necessary testing is performed.</li><li>Refine acceptance criteria into testable units and convert those into automated tests that execute efficiently and reliably.</li><li>Integrate automated tests with CI/CD pipelines and ensure successful automation as part of our standard build process.</li><li>Occasional manual testing when automation is not an option.</li><li>Report, reproduce, and help development resolve defects, emphasis on troubleshooting, root cause analysis, and prevention of similar issues in the future.</li><li>Freely debate ideas and rally behind decisions.</li><li>Pushing for continual improvement in everything we do.</li><li>Apply technology trends and industry innovations to our products and take initiatives.</li><li>Utilizing and embracing AI tools to assist in Quality Engineering activities.</li></ul> Requirements: <ul><li>Domain experience in Quality Engineering, especially automated testing.</li><li>Experience test planning and breaking down stories/requirements into testable units.</li><li>Full-stack experience in automated testing, validating both front-end and back-end interfaces, including RESTful API endpoints and web-based user interfaces.</li><li>Solid object-oriented programming skills and string experience automating in Java, JavaScript, typescript or similar.</li><li>Experience on building and scaling tests using frameworks like Junit/TestNg and/or Cypress/Playwright.</li><li>Experience/familiarity working with public cloud, especially AWS and utilising its SDK to interact with Cloud Services for testing.</li><li>Familiarity working with databases and an ability to incorporate database-side validation into automated tests.</li><li>Experience with CI/CD pipelines, especially using Jenkins and working with pipelines.</li><li>Some working knowledge of Microsoft Exchange, Microsoft 365, Azure Active Directory, and Windows Server.</li><li>Experience/knowledge in leveraging AI tools in building agents, using for reviews and generating skeleton code.</li><li>Some experience/familiarity with performance/scalability testing.</li><li>Bias for action and problem solving – eagerness to take initiative and make things happen.</li></ul>

Responsibilities: <ul><li>Contribute to planning, estimation, and refinement of stories, epics, and design changes as part of an Agile Scrum team</li><li>Build out test plans to cover new areas of functionality, ensuring all necessary testing is performed</li><li>Refine acceptance criteria into testable units and convert those into automated tests that execute efficiently and reliably</li><li>Integrate automated tests with CI/CD pipelines and ensure successful automation as part of our standard build process</li><li>Occasional manual testing when automation is not an option</li><li>Report, reproduce, and help development resolve defects, emphasis on troubleshooting, root cause analysis, and prevention of similar issues in the future</li><li>Pushing for continual improvement in everything we do</li></ul> Requirements: <ul><li>Domain experience in Quality Engineering, especially automated testing</li><li>Experience test planning and breaking down stories/requirements into testable units</li><li>Full-stack experience in automated testing, validating both front-end and back-end interfaces, including RESTful API endpoints and web-based user interfaces</li><li>Solid object-oriented programming skills and experience automating in Java, Javascript, or similar</li><li>Familiarity working with databases and an ability to incorporate database-side validation into automated tests</li><li>Experience with CI/CD pipelines, especially using Jenkins</li><li>Some working knowledge of Microsoft Exchange, Microsoft 365, Azure Active Directory, and Windows Server</li><li>Some experience/familiarity with performance/scalability testing</li><li>Experience/familiarity working with public cloud, especially AWS</li><li>Bias for action and problem solving – eagerness to take initiative and make things happ</li></ul>

Responsibilities: Test Strategy &amp; Planning:&nbsp; <ul><li>Within its Product Area, develop and execute comprehensive test strategies that cover end-to-end test execution either for new feature or to rollout complex digital products. This includes Unit Tests, System Integration Testing (SIT), User Acceptance Testing (UAT), and Smoke Tests, with an emphasis on quality, alignment with requirements, and overall test coverage.</li><li>Hands-on Coordination &amp; Test Execution: Lead and coordinate hands-on test execution activities, ensuring tests are performed on time, within scope, and to the highest quality standards. This includes driving functional and non-functional testing activities across the team.&nbsp;</li><li>Unblocking the team whenever needed, taking tactical discussions with multiple stakeholders. </li><li>Drive main testing forums within its Product Area such as defect triage. Perform test execution at least 50% of their time.</li></ul> Resource &amp; Deliverable Accountability: <ul><li>while this is an individual contributor role, QALP will functionally manage Test Engineers to ensure test activities are executed successfully.</li><li>Oversee resource planning, track test execution status, and ensure test deliverables are completed on schedule. </li><li>Ensure that the test plan is followed, and any test issues are identified and resolved in a timely manner.</li></ul> Acceptance Criteria &amp; Sign-off:&nbsp; <ul><li>Ensure all User Stories have acceptance criteria as part of DoR.&nbsp;</li><li>Define clear acceptance criteria for each test phase of Major initiatives and country rollouts for CDI solutions.&nbsp;</li><li>Ensure acceptance criteria are met prior to sign-offs forums, maintaining transparency with stakeholders and ensuring business objectives are met.</li></ul> Timely Delivery:&nbsp; <ul><li>Given the critical nature of delivery timelines, ensure all testing phases and deliverables are completed on time.&nbsp;</li><li>Manage any risks that could delay the testing process, collaborating with stakeholders to mitigate potential impacts to project timelines and company targets.</li></ul> Collaboration &amp; Cross-Functional Engagement:&nbsp; <ul><li>Partner with Product Managers, Product Owners, Delivery Leads, Engineering Leads, and Tech Leads to ensure alignment on quality goals and testing requirements across multiple Agile Release Trains.&nbsp;</li><li>Functionally report to Delivery Leads on Major initiatives.</li></ul> Test Process &amp; Continuous Improvement:&nbsp; <ul><li>Drive best practices in test processes, tools, and methodologies.&nbsp;</li><li>Ensure full adoption of testing tooling for planning, execution and reporting. </li><li>Foster continuous improvement by regularly evaluating and optimizing the testing lifecycle to enhance efficiency and effectiveness.</li></ul> Reporting &amp; Documentation:&nbsp; <ul><li>Prepare and deliver comprehensive test execution status reports and communicate results and risks to key stakeholders. </li><li>Maintain thorough documentation of test plans, results, defects, and other critical test artifacts</li></ul> Test Data &amp; Automation:&nbsp; <ul><li>Together with Product Managers and Product Owners maintain the test data repository for their Product Area.&nbsp;</li><li>In addition to that, continuously identify potential candidates for test automation and collaborate with Tech Lead for QA Automation in order to prioritize tech enablers for upcoming PI-Plannings.</li></ul> Requirements: <ul><li>Solid experience (5+ years) in driving test planning, particularly in a multiple technology domain such as E-commerce/CRM/ERP rollouts.</li><li>Proven hands-on experience with end-to-end test execution, including SIT, UAT, and Smoke Tests.</li><li>Exposure to both manual and automated test execution methods, including experience in driving test automation initiatives.</li><li>Strong understanding of on-prem solutions, API integrations, and cloud-native solutions (AWS, Azure, etc.).</li><li>Experience working in a Scaled Agile Framework (SAFe) environment and with Agile Release Trains is highly preferred.</li><li>Ability to functionally manage Test Engineers, guiding them through testing phases while maintaining accountability for the overall test process.</li><li>Strong knowledge of acceptance criteria and the ability to ensure that they are met at every stage of the testing process.</li><li>Excellent communication and interpersonal skills, with the ability to work cross-functionally and influence stakeholders at all levels.</li><li>Experience with test management tools (e.g., Jira, TestRail) and version control systems.</li><li>Bachelors degree in Computer Science, Engineering, or related field, or equivalent experience.</li><li>Certifications in Software Testing (e.g., ISTQB, SAFe) are a plus.</li><li>Exposure to cloud-based testing and experience with tools like Selenium, JUnit, TestNG is advantageous.</li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

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13 aws Jobs found

Front of House Coordinator

Senior Machine Learning Engineer (Production & MLOps Focus)

Lead AI Engineer

Business Intelligence Developer

Analytics Lead (AD&M Business Unit)

Frontend Sr/Lead Developer

Software Development Engineer in Test

Senior SDET – Microservices Focus

QA Lead

Senior Data Scientist II

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13 aws Jobs found

Front of House Coordinator

Senior Machine Learning Engineer (Production & MLOps Focus)

Lead AI Engineer

Business Intelligence Developer

Analytics Lead (AD&M Business Unit)

Frontend Sr/Lead Developer

Software Development Engineer in Test

Senior SDET – Microservices Focus

QA Lead

Senior Data Scientist II

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.