Analytics Lead (AD&M Business Unit)

Frontend Sr/Lead Developer

Senior Data Engineer

Software Development Engineer in Test

Solution Architect

Senior Devops Engineer

Principal Software Engineer

Senior Data Scientist II

Senior Data Scientist

Consulting Principal AWS Cloud Engineer

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>Develop and implement accurate forecasting models to predict product demand using historical data.</li><li>Leverage time series analysis techniques to generate business insights and drive data-driven decisions.</li><li>Continuously optimize forecasting models to adapt to changing business needs and improve forecast accuracy.</li><li>Apply advanced ML algorithms (e.g., XGBoost, Random Forest, Deep Learning) to solve complex business problems.</li><li>Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights.</li><li>Develop and validate machine learning models to support various analytical use cases.</li><li>Design scalable and maintainable data pipelines and architectures to support analytical workflows.</li><li>Ensure high data quality and consistency across multiple data sources.</li><li>Collaborate with engineering teams to implement best practices in data storage, processing, and governance.</li><li>Build and deploy data solutions on Databricks, leveraging its ML and Spark capabilities.</li><li>Utilize AWS services (e.g., S3, EC2, Lambda, SageMaker) for scalable cloud-based model training and deployment.</li><li>Ensure cost-effective and optimized use of cloud resources in project implementations.</li><li>Design end-to-end analytics and ML solutions tailored to client needs.</li><li>Lead technical discussions and contribute to solution architecture.</li><li>Translate business requirements into technical specifications and deliver actionable results.</li><li>Understand key metrics and pain points within manufacturing and supply chain operations.</li><li>Use domain knowledge to frame problems accurately and drive impactful analytical outcomes.</li><li>Collaborate with stakeholders to ensure alignment between analytics and business goals.</li><li>Understand SAP modules related to supply chain and manufacturing (e.g., MM, PP, SD) Use SAP knowledge to enhance data modeling and business context understanding.</li></ul> Requirement: <ul><li>Skills Required: o Strong proficiency in Python o Expertise in Time Series Forecasting and Demand Forecasting o Familiarity with Advanced ML Algorithms and Data Analysis o Must have experience in Data Architecture – practical exposure required o Hands-on experience with Databricks and AWS (should be visible in past projects) o Design and solutioning experience highly valued</li><li>Strong background in data architecture, solution design, and end-to-end ML model lifecycle</li><li>Experience as Data Architect, Solution Architect, or in equivalent architectural roles</li><li>Should come from a product-based or data engineering-focused startup background</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: Solution Design <ul><li>Create architecture diagrams</li><li>Conduct technical feasibility analysis to ensure scalability, automation &amp; stability</li><li>Define impacted systems &amp; proactively solve issues in architecture design</li><li>Ensure alignment with principles, guidelines and standards</li><li>Prepare documentations for AWG sign off</li></ul> Solution Implementation <ul><li>Provide timely feature implementation support to vendor Analyze and translate business requirements to technical solutions</li><li>Deliver back-end architecture integration plan</li><li>Ensure implementation is performed according to plan</li><li>Identify risks, assess their potential impact, and develop risk management strategies</li></ul> Technical Guidance and Support <ul><li>Propose tech solutions and resolve architectural ambiguities</li><li>Establish opportunities, constraints and trade off for tech architecture/ solutions</li><li>Communicate technical dependencies and requirements with other domain architects</li></ul> Documentation and Reporting <ul><li>Work closely with PMO and Lead to prepare reports for stakeholders and leadership, that communicate the integration progress, risks and issues</li><li>Document issues, decisions and outcomes throughout the migration process</li></ul> Requirements: <ul><li>Degree holder in Information Technology, Info Systems or equivalent.</li><li>Fluent Chinese/Mandarin in speaking is required.</li><li>Minimum 3 years of experience as a System Architect</li><li>Minimum 3 years of experience in Solution design with modern architectures not limited to SOA, Microservice, Serverless, Cloud/Cloud Hybrid.</li><li>Experiences in project management and vendor management.</li><li>Experiences in Spring Cloud development in Java, experience in AWS is a plus.</li><li>Experiences in databases such as SQL (MySQL, PostgreSQL) or NoSQL (MongoDB) databases.</li><li>Experiences in front-end frameworks/technologies such as AngularJS, ReactJS and Node.JS is an added advantage.</li><li>Strong capability of trouble-shooting on enterprise application defects and performance issues for both Cloud and on-premise applications.</li><li>Familiar with CICD DevOps and DevSecOps, also familiar with tools like Github, Jenkins pipelines.</li><li>Must be able to communicate effectively with China vendor.</li></ul>

Responsibilities: You will make an impact in the following way: Advanced Troubleshooting:&nbsp; <ul><li>Diagnose and resolve complex issues related to the cloud application, involving in-depth of the application architecture and infrastructure.</li></ul> Root Cause Analysis:&nbsp; <ul><li>Conduct thorough root cause analyses for recurring issues, implement preventive measures, and provide insights for continuous improvement.</li></ul> Automation and Scripting:&nbsp; <ul><li>Develop and utilize scripts and automation tools to streamline processes, improve efficiency, and reduce manual intervention in issue resolution.</li></ul> Documentation:&nbsp; <ul><li>Maintain comprehensive documentation for troubleshooting procedures, system configurations, and resolutions to facilitate sharing and future reference.</li></ul> Customer Communication:&nbsp; <ul><li>Effectively communicate with customers, providing clear and timely updates on issue resolution progress and collaborating on preventive measures.</li><li>You will be responsible for High Performance, Scalable, Robust, and Secure Common SaaS Framework based on AWS/OCP infrastructure.&nbsp;</li><li>This framework allows customers to configure provision, upgrade &amp; monitor various network functions in carrier grade enterprise &amp; telecom networks.&nbsp;</li></ul> Security and Compliance:&nbsp; <ul><li>Ensure the security of systems and applications, adhere to compliance requirements, and implement best practices for data protection.</li></ul> Collaboration:&nbsp; <ul><li>Collaboration with internal and external stakeholders.&nbsp;</li><li>Work closely with development, QA, and operations teams to foster a culture of collaboration and continuous improvement.&nbsp;</li><li>Collaborate with client’s team to gather the requirements.</li></ul> Training and Mentorship:&nbsp; <ul><li>Provide guidance and mentorship to junior team members and promote sharing within the organization.</li><li>Troubleshoot and fix any customer issues identified internally or in the production deployments.</li></ul> Requirements: <ul><li>5-8 years of Experience in DevOps (Jenkins, AWS services, Kafka, Grafana, elastic search, Bitbucket, Git, Deployment, Documentation, Root Cause Analysis reports, Customer interactions etc)</li><li>Experience with Cloud-native SaaS development &amp; virtualization technologies, for example, AWS, ESXi, KVM, HyperV would be a plus.&nbsp;</li><li>Extensive experience in developing distributed system design.</li><li>Prefer experience with microservice architecture, large scale, public cloud, IAM</li><li>Strong knowledge of containerization technologies like Kubernetes and Docker.&nbsp;</li><li>Strong knowledge in public cloud technologies (preferably AWS) and on-premises setups.</li><li>Good knowledge of analysing backend, frontend code whenever required and able to perform some tests as per customer issues.</li><li>Experience with CI/CD tooling like Jenkins etc.</li><li>Experience with version control system like Git, Bitbucket.</li><li>Experience with IaaC (Infrastructure as a Code) tools like Terraform.</li><li>Familiarity with agile development methodologies.&nbsp;</li><li>Lead and participate in various scrum ceremonies.</li><li>Good knowledge of observability tools like Kibana, Elastic stack, Prometheus stack etc.</li><li>Good knowledge of Linux operating system</li><li>Good knowledge of programming languages like Shell scripting, Python etc.</li><li>Knowledge of REST API, API gateways&nbsp;</li><li>Effective communication skills – written, spoken, listening and presentation.&nbsp;</li><li>Great Team player and experience working with global teams and global organizations.&nbsp;</li><li>Bachelor’s in computer science or equivalent.&nbsp;</li><li>Preferably a master’s degree in computer science.</li></ul>

Responsibilities: Technical Leadership and Community Engagement: <ul><li>Serve as a visible leader for the Software Engineering CoE, actively engaging with product teams, platform teams, and leadership stakeholders to drive engineering best practices, represent CoE interests, and foster adoption of shared tools and platforms.</li></ul> Application Development and Modernization: <ul><li>Apply advanced software engineering patterns and principles to design, develop, integrate, maintain, and troubleshoot modern software solutions with a strong focus on security, scalability, and developer experience.</li></ul> Support for AWS Migration: <ul><li>Actively participate in the ongoing migration of ~700 applications from on-premises to AWS, providing technical expertise in cloud architecture, troubleshooting migration-related challenges, and ensuring operational excellence post-migration.</li></ul> Automation &amp; Tooling: <ul><li>Lead efforts to implement and refine CI/CD pipelines, automation practices, infrastructure as code, and other DevOps practices to enable efficient, secure, and consistent application delivery.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience.</li><li>Minimum of 10 years of related software engineering experience.</li><li>Strong expertise in automating CI/CD pipelines, full-stack application development, infrastructure as code, and cloud migration (AWS highly preferred).</li><li>Hands-on experience coding with Java, JavaScript, React, Golang, and ability to adapt to other languages as needed</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>

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

Responsibilities: <ul><li>Demonstrated ability to drive cultural change and advocate for cloud transformation Key Responsibilities Cloud Strategy &amp; Leadership&nbsp;</li><li>Develop and implement a comprehensive AWS cloud strategy, ensuring alignment with business and technology goals.&nbsp;</li><li>Provide technical leadership and advocacy, championing cloud-native best practices and innovation.&nbsp;</li><li>Lead and drive architectural decisions, ensuring scalability, security, and operational efficiency.</li><li>Cloud Architecture &amp; Design&nbsp;</li><li>Architect secure, scalable, and highly available AWS cloud environments.&nbsp;</li><li>Develop and maintain enterprise-wide cloud blueprints, patterns, and frameworks to drive consistency.&nbsp;</li><li>Research and integrate emerging cloud technologies to foster continuous innovation. Infrastructure as Code &amp; Automation&nbsp;</li><li>Lead adoption and implementation of Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Helm.&nbsp;</li><li>Design and optimize CI/CD pipelines to streamline cloud deployments and operations.&nbsp;</li><li>Implement self-healing and automated failover mechanisms to enhance resilience and reliability.</li><li>Kubernetes &amp; Cloud-Native Technologies&nbsp;</li><li>Manage and optimize Kubernetes clusters (EKS, Helm, IAM) for scalability and security.&nbsp;</li><li>Define and enforce best practices for containerized applications and orchestration.&nbsp;</li><li>Improve Kubernetes networking, ingress, and observability solutions to enhance performance. Security &amp; Compliance&nbsp;</li><li>Establish and enforce security best practices for AWS environments, including IAM, WAF, Secret Manager, and encryption.&nbsp;</li><li>Implement zero-trust security models and secure multi-account AWS environments.&nbsp;</li><li>Conduct security audits, incident response, and ensure compliance with industry standards. Monitoring, Logging &amp; Reliability Engineering.</li><li>Deploy and manage monitoring tools (DataDog, Splunk, CloudWatch, Coralogix) to ensure visibility and observability.&nbsp;</li><li>Implement SRE principles to enhance system uptime, reliability, and efficiency.&nbsp;</li><li>Conduct post-mortem analysis and drive continuous improvements in cloud performance. Collaboration &amp; Thought Leadership&nbsp;</li><li>Work closely with software developers, system engineers, and security teams to design and implement cloud solutions.&nbsp;</li><li>Provide mentorship, training, and technical leadership to engineering teams.&nbsp;</li></ul> Requirements: <ul><li>10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li>Deep understanding of AWS services, including EC2, EKS, RDS, S3, Lambda, VPC, IAM, Transit Gateway, and CloudFormation.&nbsp;</li><li>Expertise in Kubernetes (EKS, Helm, Daemon Sets, StatefulSets, Karpenter, external-dns, aws-cni).&nbsp;</li><li>Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).&nbsp;</li><li>Hands-on experience managing CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).&nbsp;</li><li>Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).&nbsp;</li><li>Strong networking and security knowledge (DNS, VPC, NAT, Security Groups, IAM).&nbsp;</li><li>Experience designing and developing scalable, production-grade software tools and automation scripts using Python. Preferred Certifications&nbsp;</li><li>AWS Certified Solutions Architect – Professional (or equivalent).&nbsp;</li><li>Additional certifications in Kubernetes (CKA), AWS Security, or DevOps are a plus. Leadership &amp; Soft Skills&nbsp;</li><li>Proven experience leading cloud architecture and strategy initiatives.&nbsp;</li><li>Ability to mentor and guide technical teams in a fast-paced, agile environment.&nbsp;</li><li>Strong problem-solving and troubleshooting skills in complex cloud environments.</li><li>Excellent communication skills with the ability to translate technical concepts for engineering, business, and executive stakeholders.&nbsp;</li></ul>

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13 aws Jobs found

Analytics Lead (AD&M Business Unit)

Frontend Sr/Lead Developer

Senior Data Engineer

Software Development Engineer in Test

Solution Architect

Senior Devops Engineer

Principal Software Engineer

Senior Data Scientist II

Senior Data Scientist

Consulting Principal AWS Cloud Engineer

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13 aws Jobs found

Analytics Lead (AD&M Business Unit)

Frontend Sr/Lead Developer

Senior Data Engineer

Software Development Engineer in Test

Solution Architect

Senior Devops Engineer

Principal Software Engineer

Senior Data Scientist II

Senior Data Scientist

Consulting Principal AWS Cloud Engineer

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.