Docusign Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Lead AI Engineer

DevSecOps Engineer

Lead DevSecOps Engineer

system engineer

Software Quality Engineer

Analytics Lead (AD&M Business Unit)

Software Development Engineer in Test

Responsibilities: <ul><li>Design, develop, and maintain integrations with DocuSign CLM+ and eSignature APIs.</li><li>Implement and customize contract lifecycle management workflows.</li><li>Develop robust backend components using Java and C# to support business logic and integrations.</li><li>Work with XML and XSLT for document transformations and data interchange.</li><li>Build and manage stored procedures, packages, and triggers using Oracle PL/SQL.</li><li>Utilize Eclipse for Java development and Visual Studio for C# development.</li><li>Configure and support CI/CD pipelines using Azure DevOps.</li><li>Collaborate closely with business analysts, architects, QA, and infrastructure teams.</li><li>Troubleshoot and resolve integration and application issues across environments.</li><li>Create and maintain technical documentation and contribute to best practices.</li></ul> Requirements: <ul><li>8+ years of experience in enterprise application development.</li><li>Proficiency with DocuSign CLM+ (contract templates, workflow design, API integration).</li><li>Strong experience with DocuSign eSignature API and embedded signing flows.</li><li>Solid programming skills in Java and C#.</li><li>Expertise in XML and XSLT for document parsing and transformation.</li><li>Strong knowledge of Oracle Database and PL/SQL development.</li><li>Experience using Eclipse IDE and Visual Studio for software development.</li><li>Hands-on experience with Azure DevOps for version control, CI/CD pipelines, and environment management.</li><li>Strong analytical, communication, and problem-solving skills.</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>Involves working closely with industrial partners to evaluate their technical readiness, helping them align with client architectural plays and providing technical direction to develop new solutions and services offerings</li><li>Collaborate with partners to help them build IoT solutions aligned with our client strategy.</li><li>Provide strategic feedback on technology trends and develop business plans for partner enablement.</li><li>Lead partner training initiatives and assist in positioning our client solutions effectively.</li><li>Work cross-functionally with internal teams to adapt or create solutions addressing partner needs.</li><li>Create and deliver compelling solution demonstrations and prototypes</li><li>Provide feedback to product and engineering teams to improve IoT SDKs, APIs, and documentation.</li></ul> Requirements: Industry &amp; Partner Experience: <ul><li>Experience working with partner companies or Gold/Select resellers</li><li>Exposure to automation environments, particularly with Rockwell Automation, Honeywell, or other industrial control vendors</li><li>Familiarity with the integration of OT (Operational Technology) and IT networks</li></ul> Technical Expertise: <ul><li>Strong hands-on knowledge of networking technologies (routing, switching, wireless, security)</li><li>Understanding of security solutions (e.g., ASA/FTD Firewalls, ISE, Umbrella, Duo, etc.)</li><li>Knowledge of network design and architecture in industrial or enterprise environments</li><li>(Optional) Experience with cloud networking (Meraki, SD-WAN, Azure, AWS, etc.)</li></ul> Presales &amp; Commercial Skills: <ul><li>Experience in a presales or customer-facing technical role</li><li>Ability to design and architect solutions based on customer requirements</li><li>Skilled at creating technical proposals, BoMs, solution documentation, and presenting to clients</li><li>Strong communication skills to interface with both technical and business stakeholders</li><li>Familiarity with commercial engagement models (SOWs, pricing, licensing)</li><li>Certifications (Preferred but not mandatory)</li><li>Certifications: CCNP, CCIE (preferred), or other relevant certifications</li><li>Industrial certifications: Rockwell Certified Network Engineer (RCNE), Honeywell Network Specialist, etc.</li><li>Cloud certifications (AWS/Azure/Meraki) – optional</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>﻿Support and maintain Kubernetes environments.</li><li>Design, implement, and maintain the infrastructure and deployment pipelines to support the development and deployment of our applications. </li><li>Collaborate with software engineers, system administrators, and other team members to identify and implement efficient and reliable solutions. </li><li>Automate processes and tasks to improve efficiency and scalability. </li><li>Provide technical support and assistance to the development team. </li><li>Monitor, analyze, and optimize system performance, ensuring high availability, scalability, and security. </li><li>Timely respond to incidents. </li><li>Maintain and enhance the security of our infrastructure, applications, and systems, ensuring compliance with industry best practices and regulatory requirements. </li><li>Provide On-call Weekly/Weekend off-hour L3-4 support on a rotational schedule with other team members.</li></ul> Requirements: <ul><li>6+ years of hands-on experience in DevSecOps or a similar role.</li><li>Strong knowledge of cloud platforms such as Azure and GCP and their security features.</li><li>Strong knowledge of SDLC, CI/CD pipelines, and infrastructure automation.</li><li>Strong knowledge of CI/CD tools such as Azure DevOps or an equivalent.</li><li>Confident knowledge of IaC approach, testing techniques and strong hands-on experience with infrastructure management tools such as Terraform.</li><li>Good understanding of Configuration Management and hands-on experience with CM tools such as Ansible.</li><li>Strong understanding of networking concepts, including the OSI model (protocols, etc.).</li><li>Expertise in system administration for both Linux and Windows environments.</li><li>Ability to comprehend the objectives of a task, propose and advocate for solutions, and successfully implement them.</li></ul>

Responsibilities: <ul><li>Contribute to Infrastructure as a Code</li><li>Support and maintain Kubernetes environments</li><li>Design, implement, and maintain the infrastructure and deployment pipelines to support the development and deployment of our applications.</li><li>Collaborate with software engineers, system administrators, and other team members to identify and implement efficient and reliable solutions.</li><li>Automate processes and tasks to improve efficiency and scalability.</li><li>Provide technical support and assistance to the development team.</li><li>Monitor, analyze, and optimize system performance, ensuring high availability, scalability, and security.</li><li>Timely respond to incidents.</li><li>Maintain and enhance the security of our infrastructure, applications, and systems, ensuring compliance with industry best practices and regulatory&nbsp;</li><li>requirements.</li><li>Provide On-call Weekly/Weekend off-hour L3-4 support on a rotational schedule with other team members</li><li>Develop and maintain system documentation</li><li>Stay up-to-date with the latest trends, technologies, and best practices in DevSecOps and cybersecurity</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Security, or a related field.</li><li>6+ years of hands-on experience in DevSecOps or a similar role. (8+ years total)</li><li>Strong knowledge of cloud platforms such as Azure and GCP and their security features.</li><li>Strong knowledge of SDLC, CI/CD pipelines, and infrastructure automation.</li><li>Strong knowledge of CI/CD tools such as Azure DevOps or an equivalent.</li><li>Confident knowledge of containerization technologies and strong hands-on experience with Docker and Kubernetes.</li><li>Confident knowledge of IaC approach, testing techniques and strong handson experience with infrastructure management tools such as Terraform.</li><li>Good understanding of modern monitoring tools and practice</li></ul>

Responsibilities: <ul><li>Provide application L1/L2 support and system checks (CPU, disk usage, logs, services)</li><li>Troubleshoot and resolve system and application issues, and provide on-site technical support to ensure timely resolution and minimal disruption to business operations</li><li>Monitor application health and system alerts, escalating issues as needed</li><li>Log incidents and service requests in the ticketing system, ensuring timely resolution</li><li>Coordinate with L3 teams and vendors for issue escalation and follow-up</li><li>Perform routine maintenance tasks, such as application updates, patching, and backups</li><li>Maintain clear documentation of issues, fixes, and procedures</li><li>Participate in system testing, deployment, and post-deployment support activities</li><li>Assist in user access management and configuration </li><li>Requirements:</li><li>Diploma/Degree in Electrical Engineering, Computer Science, Communications Engineering or equivalent</li><li>Minimum 2 years in application maintenance, support or server infrastructure setup</li><li>Experience participating in Kubernetes cluster projects, with proficiency in using relevant commands to check application logs</li><li>Experience with at least two of the following Virtualization Technology/Platforms: VMware, Xen, KVM, OpenStack, Cloud Stack, Azure Stack</li><li>Experience with cloud orchestration, configuration management and auto-scaling techniques</li><li>Thorough knowledge of networking, routers, switches, and WiFi setup</li><li>Hands on experience in deploying ceph using different file system such as object storage, rbd, cephfs storage</li><li>Good knowledge of storage technologies, such as NAS, SAN, SDS</li><li>Experience with automation tools such as Salt/Chef/Puppet/Ansible</li><li>Experience with load balancing setup for TCP/IP, HTTP, DNS, routings.</li><li>Experience in using software version control</li><li>Knowledge of IT security standards, for instance from CIS or IM8.</li><li>Experience in IT security policy management and enforcing IT security</li><li>Knowledge of computer hardware components and ability to restore faulty servers to working condition.</li><li>Experience in coding or scripting languages such as bash, windows batch script, powershell, perl, python, etc.&nbsp;</li></ul>

Responsibilities: <ul><li>We develop products in the fields of speech recognition, ambient scribe, and digital dictation. Our products are mainly used in hospitals and medical practices.</li><li>You ensure the quality of our software through automated and manual testing.</li><li>You identify, analyze, and solve simple errors in web applications, iOS, and Android apps.</li><li>You work with E2E testing tools such as Cypress and Detox.</li><li>You collaborate closely with the development team and the Product Owner.</li><li>You support the team with additional testing-related tasks.</li></ul> Requirements: <ul><li>Education in application development or degree in computer science, or several years of experience in test automation (E2E testing) with a focus on web applications or mobile apps.</li><li>Proficiency in TypeScript or another scripting language.</li><li>Strong communication skills with an appreciative style.</li><li>Quick comprehension and independent way of working.</li><li>Strong quality awareness and a passion for testing.</li><li>Very good German skills and good English skills.</li></ul> Other Information: Our Technological Environment: <ul><li>.NET, C#, Web API, Entity Framework, SignalR, WPF, xUnit</li><li>Angular, TypeScript, Electron, Cypress</li><li>React Native, Detox</li><li>Azure DevOps Services with Git</li><li>Microsoft SQL Server</li><li>JetBrains products (Rider)</li><li>Microsoft Windows and Apple macOS as target systems for desktop applications</li><li>iOS and Android as target systems for mobile applications</li><li>Our applications are hosted both in the cloud (Microsoft Azure VMs) and on-premises at our clients’ sites.</li></ul> An Advantage Would Be: <ul><li>Certificate as “Test Automation Engineer” (e.g., ISTQB) or willingness to further your education.</li><li>Experience with CI/CD tools such as Azure DevOps.</li><li>Knowledge of agile methods (especially Scrum).</li><li>Knowledge of database technologies (Microsoft SQL).</li><li>Knowledge of C# and PowerShell.</li></ul> What we offer you (and much more): <ul><li>Alongside a young and modern company culture, you can expect an agile and communicative working environment, great team events, motivating team spirit, and many other benefits:</li><li>A personalized onboarding program so you can fully focus on your new tasks and get to know your new team.</li><li>5 weeks of vacation, increasing to 6 weeks after 3 years, and 7 weeks after 10 years.</li><li>Your birthday off.</li><li>Option to work from home.</li><li>Support and funding for training and further education.</li><li>Free parking, reimbursement of public transport pass, or contribution to your commuting costs, plus a free half-fare travelcard.</li><li>Free coffee, soft drinks, and snacks at the workplace.</li><li>Modern hardware and software, plus a comfortable ergonomic workstation.</li><li>State-of-the-art offices with an in-house game lounge, fitness room, rooftop terrace, and a kitchen with catering options.</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>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>

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19 azure deveops Jobs found

Docusign Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Lead AI Engineer

DevSecOps Engineer

Lead DevSecOps Engineer

system engineer

Software Quality Engineer

Analytics Lead (AD&M Business Unit)

Software Development Engineer in Test

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19 azure deveops Jobs found

Docusign Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Lead AI Engineer

DevSecOps Engineer

Lead DevSecOps Engineer

system engineer

Software Quality Engineer

Analytics Lead (AD&M Business Unit)

Software Development Engineer in Test

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

EMPLOYER

TALENT

COMPANY

Contact Us

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