Staff Advanced Quality Engineer (Software)

Senior Machine Learning Engineer (Production & MLOps Focus)

Testing

Software Engineering Talent Sourcing - Fran & Rob

Responsibilities: QMS Ownership for Deliverable Software <ul><li>Translate AS9115 Rev A and AS9100:2016 requirements into practical procedures, work instructions, and templates.</li><li>Establish processes covering software planning, development, integration, verification/validation, release, delivery, and post-delivery support.</li><li>Ensure the QMS supports multiple development models (Agile, Waterfall, Incremental) while enforcing required quality controls including reviews, approvals, traceability, and documentation.</li></ul> Software Planning &amp; Requirements Quality <ul><li>Lead the creation and maintenance of Software Quality Plans.</li><li>Establish standards for requirements management ensuring requirements are:</li></ul> <ul><li>Clear</li><li>Unambiguous</li><li>Testable</li><li>Maintain bidirectional traceability from:</li><li>Requirements → Design → Code → Test → Release.</li></ul> Configuration Management &amp; Change Control Define standards for Software Configuration Management (CM) including: <ul><li>Baselines</li><li>Configuration item identification</li><li>Change evaluation and approval</li><li>Configuration status accounting</li><li>Integrate software configuration management with product and system configuration processes.</li><li>Ensure CM covers software, documentation, tools, environments, and build/release artifacts.</li></ul> Supplier &amp; COTS/NDS Management <ul><li>Establish standards for evaluation and acceptance of Commercial Off-The-Shelf (COTS) and Non-Developmental Software (NDS) used in deliverable products.</li><li>Define AS9115 control applicability with both customers and suppliers.</li><li>Support supplier qualification, audits, and incoming verification for software deliverables and services.</li></ul> Verification, Validation &amp; Test Assurance <ul><li>Define verification standards within the QMS including:</li><li>Static analysis</li><li>Peer reviews</li><li>Unit testing</li><li>Integration testing</li><li>System testing</li><li>Regression testing</li><li>Security testing</li><li>Ensure independence of verification activities where required.</li><li>Maintain controlled test environments, data integrity, and objective evidence for compliance audits.</li></ul> Release, Delivery &amp; Post-Delivery Support Develop procedures for: <ul><li>Software release criteria</li><li>Delivery records</li><li>Installation documentation</li><li>Post-delivery issue management</li><li>Patching and configuration updates</li><li>Ensure all processes align with AS9115 standards.</li></ul> Audits, Metrics &amp; Continuous Improvement Lead internal and customer audits related to AS9115/AS9100 compliance. <ul><li>Manage Corrective and Preventive Actions (CAPA).</li><li>Support external and second-party audits with aerospace OEMs.</li><li>Define and track key quality KPIs, including:</li><li>Requirements volatility</li><li>Defect density</li><li>Defect escape rate</li><li>Verification coverage</li><li>Audit findings aging</li><li>Build reproducibility</li><li>Change lead time</li></ul> Requirements: Bachelor’s or Master’s degree in: <ul><li>Software Engineering</li><li>Computer Science</li><li>Systems Engineering or a related discipline.</li><li>Minimum 5 years of experience in software quality or software engineering within aerospace, defense, or other regulated industries.</li><li>Hands-on experience implementing AS9100 quality processes with working knowledge of AS9115 software lifecycle controls.</li></ul> Strong experience in: <ul><li>Requirements management</li><li>Configuration management</li><li>Verification and validation</li><li>Software release governance</li><li>Experience managing COTS/NDS software integration and supplier quality.</li><li>Proven ability to lead audit activities and corrective actions using structured problem-solving tools such as:</li><li>5 Why</li><li>Ishikawa</li><li>8D</li></ul> Preferred Qualifications <ul><li>Experience supporting AS9115 second-party audits with aerospace OEMs.</li><li>Familiarity with DO-178C concepts and coordination with DO-254/ED-80 hardware processes.</li><li>Experience with ALM/PLM and configuration management tools, such as:</li><li>Polarion</li><li>IBM DOORS</li><li>CodeBeamer</li><li>Git / GitLab</li><li>Bitbucket</li><li>Azure DevOps</li><li>Knowledge of CI/CD pipelines, static analysis tools, and unit testing frameworks.</li><li>Exposure to CMMI-DEV processes and experience aligning them with AS9115 quality objectives.</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>

<h2>About the job</h2> About Tabsquare TabSquare provides AI-powered technology solutions for the F&amp;B industry. Through TabSquares solutions, restaurants can efficiently manage orders, process payments, and effectively engage with their customers. TabSquare assists partner restaurants in driving higher sales, streamlining operations, and delivering an enhanced customer experience. TabSquare is a market leader with operations in Singapore, Malaysia, Indonesia, Australia, the Philippines, Taiwan, Thailand, Hong Kong, Sweden, and the UAE. Trusted by thousands of restaurants, TabSquares clients include well-known F&amp;B brands such as Pizza Hut, KFC, Minor Food Group, Sushi Tei, Paradise Food Group, Japan Foods Holding, Zingrill Holdings, The Coffee Club, Old Town White Coffee, Secret Recipe, and many more. TabSquare is a wholly owned subsidiary of Delivery Hero, a global leader in the food delivery industry. For more information, visit <a href="http://www.tabsquare.ai/" rel="noopener noreferrer" target="_blank" style="color: var(--color-text);">http://www.tabsquare.ai</a> Responsibilities: <ul><li>Estimate, plan, prioritize and coordinate testing activities for the cross functional QA team.</li><li>Review requirements, specifications or design documents to provide timely and meaningful feedback</li><li>Create detailed, comprehensive, and well-structured documentations, test plans and test cases.</li><li>To perform system testing and end-user testing on our suite of solutions (end to end); comprising web-based applications, mobile apps on both Android and iOS platforms.</li><li>Track QA metrics, like defect densities and open defect counts and do updates on daily, weekly and monthly basis. </li><li>Design, develop and execute Automation Scripts using Katalon Studio / Selenium or similar tools.</li><li>Support and manage UAT, Sanity, Regression activities in multiple environments.</li><li>Monitor, debug and compare the system logs, error using Datadog in multiple environments.</li><li>Work closely with the stakeholders, engineering team and also the product team, to ensure the quality/stability of the software releases.</li><li>Research on new technologies or market trends, to be able to propose new solutions/features, recommendations or ideas to improve the software solution.</li><li>Adopts and improves all required QA Processes, SOP and Ground Rules as needed.</li><li>Perform other relevant duties as assigned by Head/Managers.</li></ul> The Employee, as per business needs, may be required to undertake any other such duties as may be assigned in line with the employee’s position, skills, and capabilities. Requirements: <ul><li>Bachelors degree in Computer Science / Application or related major.</li><li>Minimum 4-6 years of hands-on experience in Manual &amp; Automation Testing.</li><li>Excellent communication skills and a good command of English.</li><li>Self-motivated, detail-oriented, with strong analytical and problem solving skills. Able to work independently with minimum supervision.</li><li>Good understanding of the software development, testing &amp; bug life cycle process.</li><li>Strong technical experience and ability to automate tests using Java, JS or Python.</li><li>Technical experience with API’s, JSON, SQL, HTML and tools like Postman to check &amp; validate test results.</li><li>Technical experience with CI/CD tools like Jenkins, Gitlab and Load Test tools like Locust, JMeter.</li></ul> Tools / Technology: Selenium, Cucumber, Java, Rest Assured, Katalon, Appium, JMeter, Locust, TestRail, Datadog, PostMan, Sequel Pro, Slack, Atlassian.

Responsibilities:Lead individual project priorities, deadlines, and deliverables using AGILE methodologies.Deliver high efficiency, high availability, concurrent, and fault-tolerant software systems.Significantly contribute to the development of Aladdin’s global, multi-asset trading platform.Provide impact and expertise as a senior individual contributor in building various capabilities of the OEMS (Order & Execution Management System) like real-time market data pipelines, algorithmic trading, trade analytics, pre & post-trade TCA, watch lists, smart order routing and integrated news & Twitter feeds.Guide and mentor team members in order to build a highly performant team.Work with product management and business users to define the roadmap for the product.Design and develop innovative solutions to complex problems, identifying issues, and roadblocks.Be a leader with vision and a partner in brainstorming solutions for team productivity, efficiency, training, and motivating developers, and hiring new developers.Work closely with Researchers to implement trading signals and models used for making investment decisions.Identify and implement ways to improve the efficiency of production processes and infrastructure.Support and maintain production processes and infrastructure.Collaborate with platform team to develop new features for alpha gen platform.Identify and utilize new alpha-enabling technology in signal implementation.Working as part of a multi-disciplinary squad to establish our next generation of data pipelines and tools.Be involved from the inception of projects, understanding requirements, designing & developing solutions, and incorporating them into the designs of our platforms.Mentor team members on technology and best practices.Build and maintain strong relationships between DataOps Engineering and our Technology teams.Contribute to the open-source community and maintain excellent knowledge of the technical landscape for data & cloud tooling.Assist in troubleshooting issues, support the operation of production software.Write technical documentation.Requirements:8 + years of hands-on experience in Java.Experience in building Order and Execution Management, Trading systems are ideal.A depth understanding of concurrent programming and experience in designing high throughput, high availability, fault-tolerant distributed applications is required.Expertise in building distributed applications using NoSQL technologies like Cassandra, coordination services like Zookeeper, and microservices architecture / SOA is required.Experience in message-oriented middleware architecture is required.Knowledge of UI components including swing, web technologies is required.Understanding relational databases is a must.Strong analytical and software architecture design skills with an emphasis on test-driven development.Experience in programming languages such as Scala, python would be a plus.Experience in using streaming technologies like spark streaming or storm would be a plus.Experience in using Project Management methodologies such as Agile/ScrumExpected to drive the growth of the trading platform through performance, stability, usability, and new investment product capabilities.Effective communication and presentation skills (written and verbal) are required.Bachelor’s or Master’s degree in Computer Science or Engineering preferred.2+ years of hands-on developer experience of object-oriented design pattern knowledge and implementation experience using Python or Java.Knowledge of workflow management frameworks such as Dask/Airflow is a plus.Knowledge in SQL and experience working with relational databases (Sybase, SQL Server).BA/BS in Computer Science or Mathematics-related field from an accredited university.The ability to apply mathematics, machine learning, or quantitative analysis to tackle complex problems and deliver high-quality solutions.Excellent analytical and problem-solving skills with keen attention to detail and an inclination to validate everything.Knowledge and experience adhering to software development standard methodologies including test-driven development (TDD), unit testing discipline, agile development, and CI/CD strategies.A genuine interest in investment strategies, risk, equities, fixed income, or financial derivatives;Experience with cloud technologies such as Hadoop, Spark, S3, Kubernetes is a plus.5 + in an SRE/DevOps role, or related IT or operations field.Passion for engineering highly available performant systems.Experience with Cloud Native platforms, both hosted and on-prem (AWS or AZURE).Experience working closely with Systems Engineers and Technology teams.Working knowledge of building and deploying distributed systems.Experience with scriptings such as Python or Ruby.Good understanding/experience with languages such as Go/Scala/Java.Experience with software deployment and orchestration technologies such as Helm, Docker, Kubernetes, OpenStack, etc.Experience supporting database or datastores e.g. MongoDB, Redis, Cassandra, Ignite, Hadoop, S3.Experience in messaging and streaming platforms such as NATS or Kafka.Experience in creating and evolving CI/CD pipelines with GitLab or Github following GitOps principles.Experience in security fundamentals.Experience in troubleshooting and system administration tasks in Linux or Unix.

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4 gitlab Jobs found

Staff Advanced Quality Engineer (Software)

Senior Machine Learning Engineer (Production & MLOps Focus)

Testing

Software Engineering Talent Sourcing - Fran & Rob

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4 gitlab Jobs found

Staff Advanced Quality Engineer (Software)

Senior Machine Learning Engineer (Production & MLOps Focus)

Testing

Software Engineering Talent Sourcing - Fran & Rob

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

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