Robotic Process Automation (RPA) Lead/ Specialist

Senior Devops Engineer

AI/ ML Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

Systems Engineer

Senior Data Scientist II

Senior Data Scientist

Consulting Principal AWS Cloud Engineer

IOT Solution Architect

Responsibilities: <ul><li>Lead and manage a team of RPA developers and analysts to deliver end-to-end automation projects.</li><li>Analyze business processes and identify opportunities for automation using RPA tools like UiPath, Power Automate.</li><li>Design, develop, test, deploy, and maintain RPA solutions according to best practices.</li><li>Work closely with stakeholders to understand their needs and ensure successful project delivery.</li><li>Contribute to the governance and best practices of RPA engagements within the Center of Excellence (CoE).</li><li>Liaise with cross-functional teams, such as cyber security, Active Directory (AD), AWS etc to address any roadblocks and ensure smooth project execution.</li><li>Monitor and troubleshoot RPA bots in production, identifying and resolving errors to ensure smooth operation.</li><li>Train and mentor business users on RPA capabilities.</li><li>Manage client relationships and demonstrate the value of automation through workshops and demos.</li><li>Create and maintain project documentation, including process design documents (PDDs), solution design documents (SDDs), and technical design documents (TDDs).</li><li>Continuously improve RPA processes for increased efficiency and scalability.</li></ul> Requirements: Desired Skills: <ul><li>Graduate/Masters in software engineering/IT/Computer Science or equivalent.</li><li>Minimum 5 to 8 years of relevant RPA experience with tools like UiPath, Power Automate.</li><li>Familiarity with incident, problem, change management processes.</li><li>Expert vendor management skills.</li><li>Top notch communication skills as the close interactions with multiple business stakeholders are needed.</li><li>Have an eye for automation opportunities.</li><li>Very good technical writing skills.</li><li>Passionate about mentoring team.</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: <ul><li>Responsible for ensuring that ML models and pipelines are deployed successfully into production</li><li>Implementation of ML features for new and existing systems</li><li>Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud services</li><li>Automate model training, testing and deployment using CI/CD</li><li>Understand and implement metrics to verify effectiveness and soundness of the ML model</li></ul> Requirements: <ul><li>Formal training in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics)</li><li>5 years of relevant work experience in data analysis, data science or related fields, with deep expertise in statistical data analysis</li><li>Experience with Python and related ML libraries (eg. Pandas, Pytorch)</li><li>Experience with database languages (e.g. SQL)</li><li>Experience working in a multi-disciplinary team of data scientists, software engineers, product managers and subject domain experts</li><li>Experience in Agile working environment</li></ul> Preferred requirements: <ul><li>Experience with AWS cloud services like AWS Textract and Comprehend is preferred</li><li>Experience with Dagster/Airflow is preferred</li><li>Experience in MLOps</li><li>Experience in delivering Natural language processing (NLP) products</li></ul>

Responsibilities: <ul><li>DevOps assignments within a engineering team or product line.</li><li>Design, implement, and manage scalable, secure, and reliable infrastructure for AI projects.</li><li>Collaborate with data scientists and software engineers to streamline the deployment and operation of AI models.</li><li>Automate the deployment, monitoring, and scaling of AI applications using tools like Kubernetes, Docker, and Terraform.</li><li>Develop and maintain CI/CD pipelines to ensure efficient and error-free code releases.</li><li>Develop and maintain Infrastructure as code (IaC) solutions, automation of deployment, building High Availability network, working on container network</li><li>Monitor system performance, troubleshoot issues, and optimize infrastructure for cost and performance.</li><li>Mentor junior DevOps engineers and provide guidance on best practices and emerging technologies.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li><li>Programming language experience in python, go, shell scripts.</li><li>5+ years of experience in DevOps or a related role.</li><li>Proficiency in cloud platforms such as AWS, Azure（prefer).</li><li>Strong experience with containerization and orchestration tools like Docker and Kubernetes.</li><li>Solid understanding of CI/CD tools such as Jenkins, Azure Pipeline.</li><li>Familiarity with infrastructure as code tools like Terraform or Ansible.</li><li>Familiarity with GitOps</li><li>Excellent problem-solving skills and the ability to work in a fast-paced environment.</li><li>Strong communication skills and the ability to collaborate effectively with cross-functional teams.</li></ul>

Responsibilities: <ul><li>Define and drive the data engineering strategy and roadmap.</li><li>Ensure code quality and best practices (e.g., modularity, reusability, scalability, and testability).</li><li>Review code and mentor engineers on data engineering best practices.</li><li>Optimize data workflows for performance, reliability, and cost.</li><li>Design and implement data lake/warehouse architectures.</li><li>Work closely with data scientists, analysts, product managers, and business stakeholders to define data needs.</li><li>Implement data quality checks and observability tools.</li></ul> Requirements: Experience: <ul><li>10+ years of experience in data engineering with a proven track record of delivering large-scale data solutions.</li><li>Strong expertise in Snowflake, Advanced SQL, GBI ETL framework, and Python.</li><li>Hands-on experience in designing and implementing data pipelines, data integration, and data warehousing solutions.</li><li>Fluency in English and Mandarin (both spoken and written), enabling effective communication with global stakeholders.</li><li>Prior experience in stakeholder management, including requirements gathering, design playback, and presentations.</li><li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Strong problem-solving skills and the ability to think critically about data architecture and process optimization.</li></ul> Educational Qualification: <ul><li>Bachelor’s degree in computer science, Information Technology, Software Engineering, or a related field.</li><li>Advanced degree in Computer Science, Data Engineering, or a related field.</li><li>Certifications in Snowflake or data engineering tools are a plus.</li></ul>

Responsibilities: <ul><li>Respond, manage, and escalate (as needed) technical support requests via the ticketing system, telephone calls, and emails either directly or using remote support tools.</li><li>Responsible for supporting Business user end point devices (Laptops/desktops/Smart phones/Tablets /video conferencing services) either directly or using remote support tools on as-needed basis.</li><li>Ensure compliance of regulatory requirements including cGMP standards and site-specific SOPs when completing assigned functional activities.</li><li>Manage and maintain analytical laboratory and computerized manufacturing control systems in a GMP environment according to established regulatory requirements.</li><li>Perform L1 tasks on Server, Network and Telecom Infrastructure in USA &amp; Canada as needed.</li><li>Assist Core teams in performing L1 troubleshooting tasks on Security tools, technologies &amp; platforms like Crowdstrike, Zscaler, Zero Trust, Privileged access management.</li><li>Maintain inventories of endpoint devices, GMP assets and applications.</li><li>Ensure 100% compliance with the GMP Policies and Procedures.</li></ul> Operations: <ul><li>Handle day to day end user support tickets. Provides IT support to VIP users.</li><li>Work with central IT teams to resolve issues reported via helpdesk system.</li><li>Owns end-to-end responsibility for resolving issues in a timely manner.</li><li>Provides updates on Infrastructure health and corrective/preventive actions.</li><li>Maintains an up-to-date inventory of endpoint devices, servers, GMP assets, OT devices and Network devices.</li><li>Flexible to work in a multi-shift operation environment.&nbsp;</li><li>Can be onsite on need basis to assist during any crisis in off-business hours.</li><li>Ensure site IT SOPs are updated and supports site QA and CSV on GMP tasks.</li></ul> Requirements: Education Qualifications:&nbsp; <ul><li>Bachelor’s degree (IT) or similar Desired Certifications.</li><li>Certifications (preferred) – Current JNCIE-ENT, JNCIE, or CCIE certification/ CCNP, CEH, CISSP, MCSA etc.</li></ul> Experience Required: <ul><li>3 – 5 years’ experience working in a GMP compliant pharmaceutical laboratory/manufacturing environment.</li><li>Working Knowledge of Cisco, Juniper, Aruba Technologies &amp; Architectures (examples- Cloud &amp; Cloud Security, Networking- Network Segmentation, Patching, Next-Gen AV, Avaya VOIP, Teams based Conferencing systems)</li><li>Experience managing and maintaining servers, LAN, IP Phone and WAN systems; Switches/ Routers/ Access Points, VPNs; Knowledge of IT-OT Network Segregation.</li><li>Working knowledge of networking concepts such as Routing, Switching, VLANs, VPNs, DHCP and DNS.</li><li>Hands-on experience with Windows 10/11, Microsoft Office tools, common business applications, digital signing applications, Adobe software, Apple devices and L1 knowledge of Windows Server operating systems, Virtualization Hypervisors like VMWare and Wireless Networking devices like Aruba/HPE.</li><li>Has good knowledge for troubleshooting Microsoft 365 and Microsoft Teams rooms (conferencing systems)</li><li>Oversee and ensure timely repair/replacement of faulty hardware including endpoint devices, network hardware and appliances.</li><li>Well versed on GMP Infrastructure and Applications used in Manufacturing and Laboratories.</li><li>Well versed with GMP Procedures</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>

Role Description: <ul><li>The AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones.</li><li>The ideal candidate should be passionate about designing, building, implementing, and maintaining AI/ML/Generative AI applications.</li><li>Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process.</li><li>The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.</li><li>The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services.</li><li>This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position.</li></ul> Responsibilities: <ul><li>Provide technical leadership and resolve complex technical issues also by guiding and overseeing projects and external collaborations (assess and challenge technical solutions and ensure compliance and security with clients internal requirements)&nbsp;</li><li>Design and implementation of embedded real time systems, ideally as part of an IoT system, including the associated reliability, performance, and security aspects.</li><li>Design of frontends, backends and middleware of applications</li><li>Design client-side and server-side architecture</li><li>Develop and manage well-functioning databases and applications</li><li>Write effective APIs (e.g. JSON schema, Swagger/REST)</li><li>Test software to ensure responsiveness and efficiency</li><li>Create security and data protection settings</li><li>Development of software for desktop and mobile applications including GUI</li><li>Interacting with embedded software engineers</li><li>Interfacing to embedded hardware devices</li></ul> Requirements: <ul><li>Above average degree in Software Engineering, Computer Science, or relevant field</li><li>Proven experience in designing (in term of architecture) an end-to-end IoT solution including cloud assets</li><li>Proven experience in driving external collaborations (SOW, specifications, design reviews, execution, formal acceptance)</li><li>Good knowledge in Cloud technologies, including backend, data modeling and data architecture, cyber-security, front-end developments, IAM and users’ management</li><li>Experience with containers and microservice architectures</li><li>Advanced skills in web and cloud technologies (knowledge of AWS ecosystem is preferred)</li><li>Knowledge of front-end frameworks (e.g. Angular, React, VUEJS)</li><li>Knowledge of back-end languages and frameworks (e.g. Node.js, Java, Python, Express.js, Flask)</li><li>Familiarity with databases (e.g. MongoDB, PostgreSQL)</li><li>Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines</li><li>Experience with Unit Testing</li><li>Decision-making skills, and capable to make justified trade-offs</li><li>Ability to drive suppliers with a long-term partnership mindset</li><li>Written and spoken fluency in English: ability to communicate clearly, formalizing complex topics in a synthetic manner and understandable for non-technical audience</li></ul> We Value: <ul><li>Experience in sensor technology</li><li>Strong customer service mindset and mentality of delivering quality products and services on time and within company cost and profitability objectives</li><li>LEAN development experiences</li></ul>&nbsp;Motivational/Cultural Fit: <ul><li>Result driven</li><li>Problem solving</li><li>Clear and concise communication</li><li>Passion for technology and innovation</li><li>Cross-Team Collaboration</li></ul>

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14 aws dynamodb Jobs found

Robotic Process Automation (RPA) Lead/ Specialist

Senior Devops Engineer

AI/ ML Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

Systems Engineer

Senior Data Scientist II

Senior Data Scientist

Consulting Principal AWS Cloud Engineer

IOT Solution Architect

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14 aws dynamodb Jobs found

Robotic Process Automation (RPA) Lead/ Specialist

Senior Devops Engineer

AI/ ML Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

Systems Engineer

Senior Data Scientist II

Senior Data Scientist

Consulting Principal AWS Cloud Engineer

IOT Solution Architect

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