Software Engineer In Test (SDET)

Senior Software Engineer 1 (.Net)

Senior Machine Learning Engineer

Software Engineer

Senior Data Scientist 2

IAD / SAD / LAD GCP Data Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Lead DevSecOps Engineer

system engineer

Full Stack Engineer

Responsibilities: <ul><li>Framework Development: Contribute to, maintain and enhance the test automation framework by adding new capabilities and improving maintainability.</li><li>Ensure the framework supports scalability, modularity, and cross-platform compatibility.</li><li>Be ready to jump into unknown areas and quickly implement the most suitable solutions.</li><li>Test Script Development: Design, develop, and maintain robust and reusable test automation scripts.</li><li>Work with different application layers: UI, API, database, and possibly mobile or desktop apps. Implement and maintain utilities and test libraries.</li><li>If required support developers with unit tests.</li><li>Test Strategy &amp; Planning: Collaborate with QA leads and developers to define what to automate, when, and how.</li><li>Ensure test automation is integrated in the CI/CD pipeline and supports continuous testing.</li><li>Test Execution &amp; Maintenance: Regularly run automated tests and analyze results. Identify and troubleshoot test failures, escalating issues when needed. Maintain and update existing test cases and CI/CD pipelines as applications evolve.</li><li>Troubleshooting &amp; Debugging: Investigate test failures and identify root causes— whether it’s a test issue, application defect, or environment problem.</li><li>Provide quick and effective fixes or workarounds.</li><li>Collaboration &amp; Mentorship: Collaborate with developers, QA engineers, DevOps, and product owners to ensure alignment on testing objectives.</li><li>Mentor junior team members on automation best practices and tool usage.</li><li>Code Quality &amp; Version Control: Write clean, maintainable, and efficient automation code. Perform code reviews for junior engineers and provide constructive feedback. Ensure adherence to automation coding standards and version control practices.</li><li>Test Data &amp; Environment Handling: Set up or manage basic test data for automated runs. Run tests across different environments and report inconsistencies.</li><li>Documentation: Document automated tests and provide clear test case descriptions.</li><li>Keep test coverage and automation status updated in tracking tools like Jira, TestRail, or similar.</li></ul> Requirements: <ul><li>Experience &amp; Expertise: Excellent coding skill in Python, JavaScript is a plus.</li><li>Proven experience in building test framework, application development and building applications, working with git.</li><li>Solid experience with API automation testing, microservices solutions, setting up CI/CD pipelines in Azure DevOps or similar.</li><li>Great experience with Docker or similar.</li><li>Agile methodology: Experience in working in an Agile environment and comfortable in dynamic settings and requirements.</li><li>You thrive as fast-paced and are an independent contributor with no support required to drive assigned tasks forward with precision and efficiency.</li><li>Communication &amp; Collaboration: Proficient in cross-functional communication with a demonstrated ability to facilitate team communication and knowledge sharing sessions.</li><li>Technical Proficiency: Hands-on experience with latest development tools and processes, DevOps practices and Cloud solutions like Azure, AWS or similar, Robot Framework, Selenium Grid and reporting tools like Grafana, Report Portal or similar.&nbsp;</li><li>Continuous Improvement: Proactively identify areas for automation improvement or technical debt reduction.</li><li>Stay current with industry trends, tools, and emerging practices.</li><li>Educational Background: A Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust, scalable, and secure web applications.</li><li>Utilize Object-Oriented design principles and best practices to ensure high-quality software.</li><li>Write clean, efficient, and well-documented code in C# with both .NET Core and .NET Framework.</li><li>Ensure adherence to Web Standards (XML, JSON, HTML, CSS, APIs, Web Services).</li><li>Create and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps.</li><li>Automate repetitive tasks in the software development lifecycle, including builds, testing, and deployments.</li><li>Configure and maintain infrastructure for CI/CD pipelines, including servers and containerized environments.</li><li>Leverage cloud platforms like AWS, Azure, or GCP for scalable infrastructure and application management.</li><li>Incorporate DevOps principles to foster collaboration between development and operations teams.</li><li>Integrate unit testing frameworks (e.g., NUnit) into pipelines to ensure robust software quality.</li><li>Utilize test-driven development practices to enhance software reliability.</li><li>Work closely with developers, QA engineers, and operations teams to streamline workflows and address feedback.</li><li>Demonstrate strong communication skills to present ideas, solutions, and progress effectively.</li><li>Monitor CI/CD pipeline execution and troubleshoot issues promptly to minimize downtime.</li></ul> Requirements: <ul><li>Demonstrated knowledge of software application development (certifications and experience considered in lieu of a degree).</li><li>6+ years of experience in software development using C# and .NET.</li><li>5+ years of experience in developing .NET applications, including .NET Core and .NET Framework.</li><li>Proven experience in building enterprise-level web applications.</li><li>Strong background in Object-Oriented design and development.</li><li>Advanced JavaScript experience, including closures and prototype inheritance.</li><li>Proficiency in SQL (DDL and DML) and experience managing database structures.</li><li>Solid understanding of Web Standards (XML, JSON, HTML, CSS, APIs, Web Services).</li><li>Demonstrated use and knowledge of design patterns and cloud-native technologies.</li><li>Experience with Agile methodologies and iterative development processes.</li><li>Proficiency in CI/CD tools such as Jenkins, GitLab CI, Azure DevOps, or AWS Code Pipeline is required.</li></ul> Preferred work experience and skills: <ul><li>Strong proficiency in C#, JavaScript, and scripting languages like Bash, Python, or PowerShell for task automation.</li><li>Expertise in popular CI/CD platforms like Jenkins, GitLab CI, Azure DevOps, or AWS Code Pipeline.</li><li>Deep understanding of Git and branching strategies for effective code management.</li><li>Familiarity with unit testing frameworks like Unit, JUnit to integrate automated testing into pipelines.</li><li>Knowledge of cloud platforms like AWS, Azure, or GCP for scalable infrastructure management.</li><li>Familiarity with containerized environments (e.g., Docker, Kubernetes) and microservices architecture.</li><li>Exceptional problem-solving and analytical skills.</li><li>Strong communication and collaboration abilities.</li><li>Self-motivated and able to work independently with minimal supervision.</li><li>Detail-oriented with excellent organizational skills.</li></ul>

Role Description: <ul><li>Working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source Models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.</li></ul> Responsibilities: <ul><li>Building standalone applications that interact with LLM models.</li><li>Building RAG-based applications.</li><li>Understanding of Vector DBs like Solr for LLM based applications</li><li>Integrate models with existing systems and APIs.</li><li>Implement production quality ETL jobs</li><li>Preprocess and manage data for training and deployment.</li><li>Collaborate with cross-functional teams to define, design, and ship new features.</li><li>Write clean, maintainable, and efficient code.</li><li>Document development processes, code, and APIs.</li></ul> Requirements: <ul><li>Degree in Computer Science, Data Science, or related field.• Proven experience in building customer facing ML based APIs</li><li>Mexico City–based (or nearby), available to work onsite 2 days per week at Glorietadel Ahuehuete, Reforma.</li><li>Experience in developing applications that are scalable to handle TBs of data</li><li>Strong knowledge of API integration (RESTful, GraphQL).</li><li>Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.).</li><li>Familiarity with deployment tools (Docker, Kubernetes).</li><li>Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.</li><li>Excellent problem-solving and communication skills.</li><li>Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus</li><li>Experience working on agents is considered a good-to-have</li><li>Familiarity with agents, even through courses Work in a way that works for you We promote a healthy work/life balance across the organization..</li></ul> Other Information: These are some of the benefits we are delighted to offer: <ul><li>Private Medical/Dental Plan.</li><li>Savings Fund.</li><li>Life Insurance.</li><li>Meal/Grocery Voucher.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.</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 Working for you.</li><li>We know that your well-being and happiness are key to a long and successful career.</li></ul>

Role Description: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li></ul> Responsibilities: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li><li>TESTING &amp; DEBUGGING: Writes and maintains moderately complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>CONTINUOUS IMPROVEMENT: Makes suggestions for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>DOCUMENTATION: Drafts and maintains comprehensive documentation for moderately complex software applications, deployment processes and system configurations.</li><li>TECHNICAL SUPPORT: Provides technical support and troubleshooting for moderately complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Software Engineer: Minimum requirement of 3 years of relevant work experience.&nbsp;</li><li>React/Typescript/UI</li><li>Java/Spring Boot/Python/APIs</li><li>PostgreSQL</li><li>CI/CD pipelines</li><li>AWS/Azure Cloud Services</li></ul>

Responsibilities: <ul><li>Lead the design and development of LLM-powered solutions for clinical summarization, intelligent chat, and document understanding to improve patient care outcomes.</li><li>Architect and implement end-to-end machine learning pipelines, including Retrieval-Augmented Generation (RAG) systems using vector databases such as Pinecone and Weaviate.</li><li>Fine-tune and optimize state-of-the-art language models (e.g., GPT, LLaMA, Mistral) and apply advanced prompt engineering to address specialty-specific healthcare use cases.</li><li>Own project delivery end to end, collaborating with stakeholders to ensure AI solutions are ethical, scalable, reliable, and well-governed.</li><li>Mentor and support junior data scientists, fostering a culture of experimentation, learning, and innovation.</li></ul> Requirements: <ul><li>Experience: 8–12 years in Data Science/ML, with at least 3+ years specifically focused on LLMs and Generative AI.&nbsp;</li><li>Technical Mastery: Deep hands-on expertise in Python and frameworks like PyTorch, Hugging Face, LangChain, or LlamaIndex.&nbsp;</li><li>Cloud Fluency: Proven ability to deploy models at scale using AWS SageMaker, Azure ML, or GCP Vertex AI.&nbsp;</li><li>MLOps Mindset: Experience with MLflow, Airflow, Docker, and Kubernetes to ensure our "bold innovations" are also stable and reliable.&nbsp;</li><li>Academic Foundation: A strong grasp of statistical analysis and evaluation techniques to mitigate hallucinations and ensure clinical accuracy.&nbsp;</li></ul>

Responsibilities: Architecture &amp; Design:&nbsp; <ul><li>Design end-to-end data architectures that integrate real-time streaming (Kafka, GCP Pub/sub) and batch processing (Big Query OR Databricks).</li></ul> Pipeline Development:&nbsp; <ul><li>Build and maintain robust ETL/ELT pipelines flowing into BigQuery/Databricks, ensuring data is clean, modeled, and ready for consumption.</li></ul> Custom Integration:&nbsp; <ul><li>Develop custom APIs and microservices using Java/Python/C# to facilitate data movement between niche systems and the data lakehouse.</li></ul> Infrastructure Management:&nbsp; <ul><li>Deploy and manage data workloads on Google Kubernetes Engine (GKE), ensuring high availability and cost-efficiency.</li></ul> Technical Leadership:&nbsp; <ul><li>Mentor junior engineers, conduct code reviews, and establish DataOps best practices (CI/CD, automated testing, and monitoring).</li></ul> Data Reliability:&nbsp; <ul><li>Implement data quality frameworks to ensure accuracy and lineage across the hybrid environment.</li></ul> Requirements: <ul><li>Experience with Terraform &amp; Azure Dev Ops (ADO).</li><li>Knowledge of workflow orchestrators like Apache Airflow (Cloud Composer).</li><li>Experience implementing Data Governance (metadata management, data cataloging).</li><li>Data Processing &amp; Storage</li><li>BigQuery: Expert-level SQL and experience with partition/cluster optimization.</li><li>Databricks: Deep knowledge of the Lakehouse architecture, Delta Lake, and Spark (PySpark/Scala) Software Engineering &amp; APIs</li><li>Languages: Proficiency in Java/Python/C# for backend development and custom data connectors.</li><li>API Design: Proven ability to build and consume RESTful APIs for data ingestion Streaming &amp; Infrastructure</li><li>Kafka/GCP Pub-Sub: Experience building event-driven architectures and managing producers/consumers.</li><li>GKE: Proficiency in containerization (Docker) and orchestrating data workloads on Kubernetes.</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>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>Design, develop, test, and deploy smart contracts using Solidity (bonus for Rustbased smart contracts).</li><li>Build and maintain frontend applications using Next.js, React, TypeScript, Wagmi, and Viem.</li><li>Develop and manage backend services, including REST APIs, using Node.js, Rust, or other modern frameworks.</li><li>Implement and maintain subgraphs and substreams (The Graph) for on-chain data indexing and querying.</li><li>Write and maintain scripts (JavaScript, Bash, etc.) for automation, tooling, and DevOps tasks.</li><li>Contribute to and maintain infrastructure using Docker, Kubernetes, and CI/CD pipelines.</li><li>Collaborate with cross-functional teams to define, design, and ship new features and systems.</li><li>Participate in code reviews, testing, and documentation to ensure high-quality software.</li><li>Stay current with the latest developments in Web3, blockchain, and infrastructure tooling</li></ul> Requirements: <ul><li>Minimum of 5+ years of experience in software development across the stack.</li><li>Bachelors degree preferred or equivalent experience</li><li>2+ years of experience with Solidity and smart contract development.</li></ul>

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11 docker Jobs found

Software Engineer In Test (SDET)

Senior Software Engineer 1 (.Net)

Senior Machine Learning Engineer

Software Engineer

Senior Data Scientist 2

IAD / SAD / LAD GCP Data Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Lead DevSecOps Engineer

system engineer

Full Stack Engineer

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11 docker Jobs found

Software Engineer In Test (SDET)

Senior Software Engineer 1 (.Net)

Senior Machine Learning Engineer

Software Engineer

Senior Data Scientist 2

IAD / SAD / LAD GCP Data Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Lead DevSecOps Engineer

system engineer

Full Stack 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.