Staff Project Manager Engineer

Principal Project Manager Engineer

Talent Acquisition Coordinator

Associate Data Engineer

Talent Acquisition Specialist

C# Developer (SSE)

Java, Kotlin Developer (SSE)

IBM Infosphere DataStage Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Technical Product Manager

Responsibilities: Project Leadership &amp; Execution <ul><li>Lead multiple medium- to high-complexity New Product Development projects with full end-to-end ownership.</li><li>Demonstrate strong cross-functional leadership across global and multicultural teams.</li><li>Promote a diverse and inclusive workplace by recognizing and valuing individual differences and perspectives.</li></ul> Stakeholder &amp; Communication Management <ul><li>Identify stakeholder expectations and establish effective communication cadences.</li><li>Develop and execute the Project Communication Plan.</li><li>Lead periodic management-level project reviews.</li><li>Report project progress, risks, and issues to leadership and stakeholders.</li></ul> Financial &amp; Economic Management <ul><li>Manage project capital, expense, and resource expenditures to meet financial targets.</li><li>Support economic analysis, including alternatives evaluation, variance analysis, and cost calculations.</li><li>Track and report project progress and product costs.</li></ul> Planning, Risk &amp; Change Management <ul><li>Develop detailed project schedules, resource plans, and budget forecasts.</li><li>Execute integrated change management and control processes.</li><li>Perform effective project risk management, including creation, monitoring, and mitigation of risks.</li><li>Identify, address, and resolve project issues and impediments proactively.</li></ul> Continuous Improvement &amp; Collaboration <ul><li>Drive continuous improvement of existing project processes and implementation of new project components.</li><li>Coordinate internal resources across departments to ensure projects are delivered on time, on cost, and on quality.</li><li>Collaborate with cross-functional teams for problem-solving and brainstorming initiatives.</li></ul> Requirements: Education &amp; Critical Experience <ul><li>Bachelor’s degree in Engineering with 12–15 years of professional experience</li><li>Master’s degree in Engineering with 10–12 years of professional experience.</li><li>5–6 years of project management experience in industrial product or hardware .development environments.</li><li>Proven experience managing distributed and multicultural teams.</li></ul> Competencies Must Have <ul><li>In-depth understanding of Toll Gate / Stage Gate product development processes.</li><li>Strong experience in project management strategy and execution.</li><li>Extensive experience in stakeholder and requirements management.</li><li>Exposure to manufacturing processes such as molding, stamping, and plating.</li><li>Excellent verbal and written English communication skills with the ability to communicate .globally at all organizational levels.</li><li>Proven expertise in project planning, execution, and delivery.</li><li>Strong leadership skills to drive collaboration, accountability, and results.</li><li>Ability to develop and manage communication plans and responsibility (RACI) matrices.</li><li>Proficiency in Microsoft Project.</li><li>Proficiency in MS Office tools (Excel, Word, PowerPoint).</li><li>Experience with project ROI analysis (NPV, IRR, Payback Period).</li></ul> Preferred <ul><li>Exposure to regulatory approval processes (UL, CSA, CQC, VDE, etc.).</li><li>Experience in the terminal and connector industry.</li><li>Exposure to Agile Project Management methodologies.</li><li>PMP certification or equivalent project management credentials.</li></ul>

Responsibilities: Project Leadership &amp; Execution <ul><li>Lead and manage 2–3 complex product development projects from initiation through launch.</li><li>Ensure projects align with approved project charters, internal processes, and customer expectations.</li><li>Provide strong leadership to cross-functional and geographically distributed teams.</li><li>Drive a diverse and inclusive workplace, recognizing and valuing individual differences and perspectives.</li></ul> Stakeholder Management <ul><li>Identify, engage, and manage internal and external stakeholders.</li><li>Establish and maintain regular communication cadences to ensure transparency and alignment.</li></ul> Financial &amp; Cost Management <ul><li>Manage project capital, operating expenses, and resource allocations.</li><li>Ensure adherence to project budgets and achievement of financial targets.</li><li>Support economic and financial analyses, including alternatives evaluation, variance analysis, and cost calculations.</li></ul> Risk &amp; Change Management <ul><li>Develop, monitor, and control comprehensive project risk management plans.</li><li>Execute integrated change management and control processes to manage scope, cost, and schedule changes.</li></ul> Planning &amp; Reporting <ul><li>Develop detailed project schedules, resource plans, and budget forecasts.</li><li>Track, monitor, and report project progress, timelines, and product costs.</li><li>Lead management-level project reviews and provide regular status updates.</li></ul> Continuous Improvement <ul><li>Proactively identify and resolve project issues and impediments.</li><li>Drive continuous improvement initiatives and implement new project components, tools, and processes.</li><li>Collaborate with cross-functional teams (CFTs) to support problem-solving and brainstorming activities.</li></ul> Education &amp; Critical Experience <ul><li>Bachelor’s or Master’s degree in Engineering.</li><li>15–18 years of total professional experience.</li><li>Minimum of 8 years of project management experience in industrial product or hardware development.</li><li>Proven experience managing distributed and multicultural teams.</li></ul> Requirements: Core Competencies Must Have <ul><li>In-depth knowledge of Toll Gate / Stage Gate product development processes.</li><li>Strong expertise in project management methodologies and execution.</li><li>Demonstrated leadership in team management, performance management, mentoring, and talent development.</li><li>Extensive experience in stakeholder and requirements management.</li><li>Exposure to manufacturing processes such as molding, stamping, and plating.</li><li>Excellent English communication skills (verbal and written) with the ability to communicate at all organizational levels globally.</li><li>Strong background in project planning, execution, and risk management.</li><li>Proven ability to collaborate across functions and drive results.</li><li>Ability to develop and manage communication plans and RACI matrices.</li><li>Proficiency in Microsoft Project and MS Office tools (Excel, Word, PowerPoint).</li><li>Experience conducting project ROI analysis (NPV, IRR, Payback Period).</li><li>PMP or equivalent project management certification.</li></ul> Preferred <ul><li>Exposure to regulatory approval processes (UL, CSA, CQC, VDE, etc.).</li><li>Experience in the terminal and connector industry or related product domains.</li><li>Familiarity with Agile project management methodologies.</li></ul>

Responsibilities: 1. Execute Hiring Strategies <ul><li>Collaborate with Regional TA Manager, Business Leaders, HR partners, and Business teams to understand short- and long-term hiring needs.</li><li>Assist in developing and executing hiring plans, executing Global SLAs are aligned with the Business Goals</li><li>Stay informed about industry trends, market conditions, and emerging hiring practices &amp; tool</li></ul> 2. Talent Sourcing &amp; Pipeline Development <ul><li>Build and maintain a strong pipeline of candidates for various key roles such as NPD, NPI, PDE, MPDE and many more.</li><li>Assist the Regional TA Manager to develop and implement innovative hiring strategies using Market intelligence &amp; Talent Mapping tools.</li><li>Leverage a mix of sourcing channels: Internal/External career sites, social media Hiring such as LinkedIn, TikTok, Instagram, Facebook etc., Job Boards such as JobStreet, Monster</li><li>Familiar with hiring tools such as HireEz, ZoomInfo.&nbsp;Leverage employee referrals, and University hiring</li></ul> 3. Employer Branding &amp; Candidate Engagement <ul><li>Position the company as an employer of choice in the Engineering, Tech and manufacturing space.</li><li>Create content and campaigns targeting industry professional (e.g., webinars, blog posts, meetups, TechEvents)</li><li>Craft compelling job descriptions and recruitment materials tailored for manufacturing, Production and Engineering professionals</li></ul> 4. Full-Cycle Recruitment <ul><li>Deliver end-to-end recruitment: sourcing, screening, interviewing, offers &amp; compensation negotiation and onboarding</li><li>Collaborate with hiring managers to define role requirements and ideal candidate profiles.</li><li>Assist implement and monitor structured interview processes, including technical assessments</li></ul> 5. Stakeholder Management <ul><li>Act as the primary liaison between candidates and internal stakeholders</li><li>Provide regular hiring updates, metrics, and insights to leadership</li></ul> 6. Data-Driven Recruiting <ul><li>Use analytics to track sourcing effectiveness, time-to-hire, offer acceptance rates, and pipeline health.</li><li>Ensure Global Hiring Metrics, SLA and targets are aligned and achieved</li><li>Publish Daily / Weekly / Monthly / Qtrly reports on the efforts and progress</li><li>Optimize hiring funnel using recruitment metrics and KPI</li></ul> Requirements: <ul><li>Overall 8+ years of experience with Minimum of 5+ years from relevant industry</li><li>Preferably an Engineer of any discipline, but not mandatory (OR) Bachelor’s degree or higher in business administration or related field</li></ul>

Responsibilities: <ul><li>Ability to troubleshoot problems in a live environment and provide real time help with critical issues.</li><li>Write code that is easily understood and maintainable by other team members.</li><li>Keep up to date with developments in technologies we are using.</li><li>Ability to communicate and work effectively, supporting various business departments.</li><li>Ability to work in fast-paced interdisciplinary environment.</li></ul> Requirements <ul><li>BA/BS in Computer Science or equivalent practical experience.&nbsp;</li><li>At least 3+ years of post-university experience as a full-stack engineer.</li><li>Solid knowledge of programming fundamentals—algorithms, data structures, design patterns, and paradigms.</li><li>Strong knowledge of Python.</li><li>Solid knowledge SQL and relational databases.</li><li>Knowledge of Extract-Transform-Load (ETL) and big data analytics tools.</li><li>Experience working in a cloud environment (AWS, Azure, GCP).</li><li>Familiarity with popular Python data analytics frameworks.</li><li>Familiarity with Snowflake or other large analytics engines.</li><li>Experience with data warehousing and working in environments with large scale, complex analytics requirements.</li><li>Familiarity with DAG-based job scheduling tools.</li><li>Cloud-native container orchestration platforms and tools.</li><li>Experience working in the Financial Services industry.</li></ul>

Responsibilities: <ul><li>Manage the recruitment process end to end</li><li>Keep an overview of our recruitment needs via regular meetings with our Hiring Managers</li><li>Verify job descriptions with the hiring manager and design interview questions that reflect the positions requirements and attract talents to the company</li><li>Determining selection criteria for the open positions, in line with the organizations-culture and strategy</li><li>Sourcing of potential candidates through different sourcing channels</li><li>Screening of potential candidates and planning interviews and assessments</li><li>Run regular updates to hiring managers</li><li>Engaging with Senior Stakeholders</li><li>Organize and lead feedback sessions and coordinate the hiring decision</li><li>Propose employment offers in line with the company guidelines</li><li>Ensure that the recruitment process is efficient, effective and equitable</li><li>Foster long-term relationships with candidates</li><li>Designed and implemented innovative TA strategies for effective candidate sourcing</li><li>Developed strategic staffing plans aligned with business priorities</li></ul> Requirements: <ul><li>Minimum 7 year’s experience in recruiting for manufacturing or niche hiring along with commercial hiring.</li><li>Must have experience in recruitment metrics and analytics</li><li>Able to perform as an individual contributor and be hands-on</li><li>Well versed in social media, resume databases and professional networks</li><li>Experience with headhunting for mid-level positions</li><li>Hands-on experience with full-cycle recruiting using interview techniques</li><li>Good interpersonal and influencing skills. Has the ability to engage senior stakeholders.</li><li>Has a strong passion and desire to make a difference</li><li>Growth mindset and learning agility</li><li>Should have a recognized Masters / Bachelors degree</li><li>Proficient MS Excel</li></ul>

Responsibilities: <ul><li>Develop distributed system architecture and system integration&nbsp;&nbsp;</li><li>Design event-driven applications leveraging microservices architecture on cloud platform&nbsp;</li><li>Carry out Model and assess complex IT solutions&nbsp;&nbsp;</li><li>Work closely with platform engineers and other IT professionals to choose compatible design solutions&nbsp;</li><li>Manage and comply with release management process&nbsp;</li><li>Analyze the scope and expected organizational impact of information systems&nbsp;</li><li>Evaluate existing systems and provide advice on how to meet organizational requirements&nbsp;</li><li>Ensure that the technical components of the project are in sync with the business needs of the organization&nbsp;</li><li>Ensure that information systems are secure from threat&nbsp;</li><li>Provide advice on project design, project costs, and expected benefit&nbsp;</li><li>Identifies technical debt and proactively recommends alternatives or improvements&nbsp;</li></ul> Requirements: <ul><li>University degree in Computer Science, Computer Engineering or related subjects preferred&nbsp;&nbsp;</li><li>8+ years of work experience building applications&nbsp;</li><li>Advanced understanding of IT infrastructure and enterprise architectures&nbsp;</li><li>Proven experience with microservices-based architecture&nbsp;</li><li>Proficiency in coding with modern programming languages such as C#, Python, or Node.js&nbsp;</li><li>API-first development experience&nbsp;</li><li>Experience with Cloud Computing (Azure preferable)&nbsp;</li><li>Extensive expertise in any modern document-oriented database, with a preference for MongoDB&nbsp;</li><li>Experience in developing components for Event-Driven Architecture, with a minimum of production-level experience using Event Hubs or Event Grid (or similar technologies like Kafka)&nbsp;</li><li>Experience working in an agile environment with a focus on engineering practices like testing, continuous integration, etc.&nbsp;</li><li>Good knowledge of virtualization&nbsp;&nbsp;</li><li>Analytics mindset with critical thinking and problem-solving skills&nbsp;</li><li>Fine knowledge of industry trends and emerging technologies&nbsp;</li><li>Fluent in English&nbsp;</li></ul>

Responsibilities: <ul><li>Develop and maintain robust and scalable backend services primarily using Kotlin and Ktor.&nbsp;</li><li>Engage in architectural discussions and contribute to the design of a multi-regional backend.&nbsp;</li><li>Maintain and manage SQL and NoSQL databases.&nbsp;</li><li>Integrate with search clusters such as OpenSearch.&nbsp;</li><li>Work on our payment &amp; product platform and ensure fault tolerance.&nbsp;</li><li>Manage deployments with tools like GitHub, Gradle &amp; CircleCI.&nbsp;</li><li>Monitor built services directly in the cluster and through services such as Sentry and Datadog.&nbsp;</li><li>Mentor junior engineers, guiding them on best practices.&nbsp;</li></ul> Requirements: <ul><li>7+ years of professional backend engineering experience.&nbsp;</li><li>3+ years of developing in Kotlin, with extensive understanding of modern and asynchronous backend frameworks.&nbsp;</li><li>Worked with Kafka or a similar event streaming platform&nbsp;&nbsp;</li><li>Fluent in Git, CI/CD, and build automation.</li><li>Knowledge of how to deploy, ingress, monitor, and manage backend services in a Kubernetes cluster.&nbsp;</li><li>Excellent communication skills and ability to explain technical concepts to non-technical stakeholders.&nbsp;</li></ul>

Responsibilities: <ul><li>Design, develop, and implement ETL processes using IBM InfoSphere DataStage to extract data from various source systems, transform it according to business rules, and load it into target data warehouses and data marts.&nbsp;&nbsp;</li><li>Develop and maintain DataStage jobs, sequences, and workflows, ensuring optimal performance and scalability.</li><li>Troubleshoot and resolve data integration issues, working closely with data analysts and other stakeholders.</li><li>Write and execute complex SQL queries to analyze data, profile data sources, and validate ETL processes.</li><li>Collaborate with business analysts and data architects to understand data requirements and translate them into technical specifications.&nbsp;&nbsp;</li><li>Participate in the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and documentation.&nbsp;&nbsp;</li><li>Ensure adherence to data governance policies and standards.</li><li>Monitor ETL processes and proactively identify and address potential performance bottlenecks.</li><li>Contribute to the development and maintenance of technical documentation, including design specifications, mapping documents, and operational procedures.</li></ul> Requirements: <ul><li>Minimum of 3 to 5 years of hands-on experience in designing, developing, and implementing ETL solutions using IBM InfoSphere DataStage.</li><li>Strong understanding of ETL concepts, methodologies, and best practices.</li><li>Proficiency in writing complex SQL queries and working with relational databases, preferably Oracle.</li><li>Experience with data modeling concepts (e.g., dimensional modeling, star schema, snowflake schema).</li><li>Familiarity with Linux operating systems and basic Linux commands is a plus.</li><li>Exposure to OBIEE (Oracle Business Intelligence Enterprise Edition) or other business intelligence tools is a plus.</li><li>Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Excellent analytical skills and technical skills, with a strong attention to detail and problem-solving abilities.</li><li>Bachelors degree in Computer Science or equivalent in education and work experience.</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>Collaborate with stakeholders to define product requirements and roadmap.</li><li>Translate customer needs into clear and actionable technical specifications.</li><li>Write and refine business requirements and acceptance criteria.</li><li>Work closely with product managers to prioritize the backlog in JIRA.</li><li>Work closely with engineering teams to ensure successful and timely product development and delivery.</li><li>Act as the primary liaison between business stakeholders, clients, and technical teams.</li><li>Run cross-functional meetings and facilitate decision-making.</li><li>Provide transparency on product status, risks, and dependencies.</li><li>Review and test deliverables to ensure they meet business requirements.</li></ul> Requirements: <ul><li>Strong technical background with knowledge of blockchain technology and distributed systems.</li><li>Experience with Agile/Scrum methodologies and product management tools such as JIRA.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and leadership abilities.</li><li>Strong organizational and facilitation skills.</li><li>Ability to work effectively in a fast-paced, dynamic environment.</li><li>Collaborative team player with the ability to influence without authority.</li></ul>

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29 distributed databases Jobs found

Staff Project Manager Engineer

Principal Project Manager Engineer

Talent Acquisition Coordinator

Associate Data Engineer

Talent Acquisition Specialist

C# Developer (SSE)

Java, Kotlin Developer (SSE)

IBM Infosphere DataStage Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Technical Product Manager

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29 distributed databases Jobs found

Staff Project Manager Engineer

Principal Project Manager Engineer

Talent Acquisition Coordinator

Associate Data Engineer

Talent Acquisition Specialist

C# Developer (SSE)

Java, Kotlin Developer (SSE)

IBM Infosphere DataStage Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Technical Product Manager

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.