Senior Devops Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

QA Tester

Senior Data Scientist II

Consulting Azure Cloud Engineer

Consulting Principal AWS Cloud Engineer

Senior Software Engineer - Azure Platform

Senior BI Developer - International

IOT Solution Architect

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>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>Develop detailed test plans based on project requirements and specifications.&nbsp;</li><li>Provide feedback on quality standards, usability, and areas for improvement.</li><li>Automates test scenarios and expected outcomes.&nbsp;</li><li>Conduct regression, integration, user acceptance, and performance testing.</li><li>Conducts comprehensive testing and risk-based assessments of the testing objects.&nbsp;</li><li>He/She uses source documentation as input and contributes to the planning and implementation of testing activities.&nbsp;</li><li>Leads testing components of large and complex projects, assigns tasks, provides direction to resources, and reports progress to project stakeholders.&nbsp;</li><li>He/She creates and selects tools and methodologies for review and approval by management.</li></ul> ﻿Requirements: <ul><li>Bachelors Degree or International equivalent&nbsp;</li><li>Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field - Preferred&nbsp;</li><li>comprehensive knowledge of technical skills, principles, practices, and procedures of testing methodologies and working knowledge in planning, designing, and conducting QA reviews and inspections.&nbsp;</li><li>He/She provides expertise for key business functions and supporting technologies.&nbsp;</li><li>Provides mentorship and expertise in technologies and processes for Information Services Management (ISM) and Quality Assurance (QA).&nbsp;</li><li>He/She maintains an awareness of emerging technologies to ensure a competitive advantage.</li><li>Experience with both web and client/server based testing</li><li>Minimum 8 Years of Relevant Experience in IT Test Automation.</li><li>Should have strong Mainframe testing [CICS, JCL, DB2, Cobol]</li><li>Must be able to test and debug batch jobs (JCL).</li><li>Must be able to perform backend testing by executing SQL queries.</li><li>Expertise in APIs &amp; Web Services testing</li><li>Hands-on experience in Selenium, TestNG and Cucumber frameworks</li><li>Good in test execution reporting skills</li><li>Expertise in Test Cases Design and Test Data management</li><li>Expertise in tools like PostMan, SOAP UI, WinSCP, Oracle, Jenkins, GitHub and AppDynamics.</li><li>Should be well versed with Agile testing and Continuous Testing</li><li>Experience with Test Management tools</li><li>Knowledge on AZURE DEVOPS&nbsp;</li><li>Understanding of SAFe Agile methodologies</li><li>Should be solution-oriented and have problem solving aptitude</li><li>Should have excellent communication and presentation skills</li><li>Knowledge on Logistics domain will be an advantage</li><li>Good to have Performance Testing experience.</li><li>Knowledge on JMeter / Performance center will be an advantage.</li><li>Any certifications in test automation</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>Design and implement infrastructure solutions using Azure OpenAI, Azure Front Door, and APIM to support Cognitive Services.</li><li>Collaborate with cross-functional teams to integrate AI capabilities into existing and new applications.</li><li>Optimize and manage the performance, scalability, and security of AI infrastructure.</li><li>Develop and maintain documentation for infrastructure design, configuration, and best practices.</li><li>Troubleshoot and resolve complex technical issues related to AI infrastructure.</li><li>Work on cloud infrastructure to ensure seamless deployment and operation of the AI platform.</li><li>Stay updated with the latest advancements in Azure services and AI technologies to ensure the infrastructure remains cutting-edge.</li><li>Provide technical leadership and mentorship to junior engineers and team members</li></ul> Requirements: <ul><li>Software Engineering experience.</li><li>BS Engineering/Computer Science or equivalent experience required; advanced degree preferred.</li><li>Bachelor’s degree in engineering, related field, or equivalent of experience.</li><li>Proven experience in designing and managing Azure-based infrastructure, specifically with Azure OpenAI, Front Door, and APIM.</li><li>Strong understanding of Cognitive Services and AI/ML concepts.</li><li>Proficiency in scripting and automation using tools such as PowerShell, Azure CLI, or similar.</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 diverse teams.</li><li>Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer) are a plus.</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>

Job Purpose and Impact: <ul><li>The Senior Software Engineer- Azure Platform designs, develops and maintains software applications and systems, specifically the Azure, Azure Dev Ops, and Power Platform cloud platforms for the ERP team.&nbsp;</li><li>With minimal supervision, this job collaborates with cross functional teams to define, design and implement new software features to meet user needs and business goals, and upgrade existing software to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging complex issues.&nbsp;</li><li>This job also participates in code reviews to maintain high code quality and share knowledge with software engineering team members.&nbsp;&nbsp;</li><li>In this role, you will be responsible for platform engineering and application development on the platform, participating as a core platform team member to pursue innovation and new technologies and solutions.</li></ul> Responsibilities: Platform Engineering:&nbsp; <ul><li>Designs, enables, and configures platform services and capabilities compliant with best practices and standards.</li></ul> Software Development: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.</li></ul> Automation:&nbsp; <ul><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li></ul> Collaboration:&nbsp; <ul><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.</li></ul> Testing &amp; Debugging:&nbsp; <ul><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li></ul> Continuous Improvement:&nbsp; <ul><li>Suggests options for improving the software development and deployment processes and implements the approved standards to improve efficiency and reliability.</li></ul> Documentation:&nbsp; <ul><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.</li></ul> Technical Support:&nbsp; <ul><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: Minimum Qualifications <ul><li>Bachelor’s degree in a related field or equivalent experience</li><li>Confirmed experience automating pipelines for continuous integration, testing, delivery, and security</li><li>Confirmed experience architecting applications, databases, services, or integrations</li><li>Minimum of four years of related work experience</li></ul> Preferred Qualifications <ul><li>Microsoft Azure platform experience and/or certifications</li><li>Microsoft Power Platform experience and/or certifications</li><li>SAP or SAP BTP platform experience</li></ul>

Responsibilities: <ul><li>Foster a culture of teamwork across the IT team and the organization</li><li>Mentor junior team members through their project delivery, support and customer service</li><li>Document reporting specifications as designated by the reporting consumer</li><li>Develop requisite reporting solutions</li><li>Shares responsibility in development of semantic models and data flows</li><li>Document and maintain governance information regarding data and objects in the reporting enterprise</li><li>Develop and assist in delivery of education material on tool and reporting object use</li><li>Analyze usage of reporting objects in the reporting enterprise</li><li>Shares responsibility with the greater BI team for ensuring quality and integrity of data in the data warehouse, ensuring consistency and synchronization between systems</li><li>Shares responsibility for maintenance and ensuring optimal performance of BI systems and tools</li><li>Perform requisite support of the BI Platform in line with Service Level Agreements, which may require 24/7 on-call support</li></ul> ﻿Requirements: <ul><li>Bachelor’s Degree preferred - Background in Computer Science, Engineering, Business, or related Discipline&nbsp;&nbsp;</li><li>Coursework in Statistics and/or Data Visualization desired</li><li>6-9 years working with Microsoft’s analytic tools (Power BI) with working knowledge of environment administration.</li><li>Participation in 4+ full lifecycle implementations involving new analytic capabilities and/or new data; at least 2 of the implementations in the capacity of the Lead for the reporting initiatives.</li><li>Working knowledge of Azure Data Factory, Azure Synapse, Azure Data Lake Gen 2, SQL, Power Automate, Power BI, Fabric</li><li>Translate business reporting requirements into technical specifications for EDW members</li><li>Ability to facilitate interactive design and functional specification sessions</li><li>Strong analytical problem-solving, and conceptual skills</li><li>Demonstrated track record in new concept development for a variety of projects and complex analytic artifacts</li><li>Passionate to share ideas, work with and mentor other members to ensure the success of the team</li><li>Solid communication skills (verbal, written, listening) and the ability to interact with all levels of company customers and members</li><li>Proactive, self-motivated with the ability to motivate others</li><li>Customer-focused service attitude</li><li>Good organizational skills, with the ability to meet objectives and day-to-day task management</li><li>Excellent technical documentation skills</li><li>Ability to generate and analyze requirements</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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13 azure Jobs found

Senior Devops Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

QA Tester

Senior Data Scientist II

Consulting Azure Cloud Engineer

Consulting Principal AWS Cloud Engineer

Senior Software Engineer - Azure Platform

Senior BI Developer - International

IOT Solution Architect

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Skills

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13 azure Jobs found

Senior Devops Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

QA Tester

Senior Data Scientist II

Consulting Azure Cloud Engineer

Consulting Principal AWS Cloud Engineer

Senior Software Engineer - Azure Platform

Senior BI Developer - International

IOT Solution Architect

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

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Contact Us

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