Java Backend Engineer

Full Stack Engineer - Java

Senior Data Engineer

Cloud Engineer

Cloud Solution Specialist- Hybrid

Cloud Data Architect

Data Scientist

Data Engineer / Senior Data Engineer

Product Specialist

AVP - Software Engineer - AI/ML systems

Responsibilities: <ul><li>Collaborate with team, high availability, concurrent and fault tolerant software systems.</li><li>Significantly contribute to development of Aladdin’s global, multi-asset trading platform.</li><li>Work with product management and business users to define the roadmap for the product.</li><li>Design and develop innovative solutions to complex problems, identifying issues and roadblocks.</li><li>Apply validated quality software engineering practices through all phases of development.</li><li>Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support.</li><li>Be a leader with vision and a partner in brainstorming solutions for team productivity, efficiency, guiding and motivating others.</li><li>Drive a strong culture by bringing principles of inclusion and diversity to the team and setting the tone through specific recruiting, management actions and employee engagement.</li><li>For VP Level: In addition to above, a VP level candidate should be able to lead individual projects priorities, deadlines and deliverables using AGILE methodologies.</li></ul> Requirements: Qualifications: <ul><li>B.S. / M.S. degree in Computer Science, Engineering, or a related subject area</li><li>For VP Level: 8+ years of proven experience</li><li>For Associate Level: 4+ years of experience</li></ul> Skills and Experience: <ul><li>A proven foundation in core Java and related technologies, with OO skills and design patterns</li><li>Track record building high quality software with design-focused and test-driven approaches</li><li>Good hands-on object-oriented programming knowledge in Java, Spring, TypeScript, JavaScript, Microservices, Angular (2.0+), React.</li><li>Strong knowledge of Open-Source technology stack (Spring, Hibernate, Maven, JUnit, etc.).</li><li>Experience with relational database and/or NoSQL Database (e.g., Apache Cassandra)</li><li>Great analytical, problem-solving and communication skills</li><li>Some experience or a real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions.</li><li>For VP Level: In addition to the above, a VP level candidate should have experience leading development teams, projects or being responsible for the design and technical quality of a significant application, system, or component. Ability to form positive relationships with partnering teams, sponsors, and user groups.</li></ul> Nice to have and opportunities to learn: <ul><li>Exposure to building microservices and APIs ideally with REST, Kafka or gRPC.</li><li>Experience working in an agile development team or on open-source development projects.</li><li>Experience with optimization, algorithms or related quantitative processes.</li><li>Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis</li><li>Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud</li><li>Experience with DevOps and tools like Azure DevOps</li><li>Experience with AI-related projects/products or experience working in an AI research environment.</li><li>A degree, certifications or opensource track record that shows you have a mastery of software engineering principles.</li></ul>

Responsibilities: Full Stack Development:&nbsp; <ul><li>Design, develop, and maintain scalable Java-based applications using Spring Boot and other Java frameworks.</li></ul> Backend Development:&nbsp; <ul><li>Implement and optimize server-side logic, ensuring high performance and responsiveness to requests from the front-end.</li></ul> Frontend Development:&nbsp; <ul><li>Work with front-end technologies to create dynamic and responsive user interfaces.</li></ul> Database Management:&nbsp; <ul><li>Develop and manage complex queries and stored procedures using Oracle Database, ensuring data integrity and security.</li></ul> System Integration:&nbsp; <ul><li>Collaborate with cross-functional teams to integrate different modules and systems seamlessly.</li></ul> Code Review &amp; Optimization: <ul><li>Conduct regular code reviews and optimize existing code to improve application performance and maintainability.</li></ul> Troubleshooting &amp; Debugging: <ul><li>Identify, troubleshoot, and resolve complex software issues in a timely manner.</li></ul> Documentation: <ul><li>Create and maintain detailed technical documentation to support the development process.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or related field.</li><li>5-8 years of relevant experience.</li></ul> Mandatory skills <ul><li>Full Stack Development: Proficient in both front-end and back-end technologies, with a focus on Java Full Stack development and enterprise security best practices</li><li>Java/J2EE: Strong expertise in Java programming and J2EE architecture.</li><li>Spring Boot: Extensive experience in using Spring Boot for developing microservices and RESTful APIs.</li><li>Oracle Database: Solid experience with Oracle databases, including writing and optimizing SQL queries.</li><li>Front end technology skills – ReactJS or AngularJS experience&nbsp;</li><li>Desired/ Secondary skills</li><li>Experience in Unix / Linux / Mac environment</li><li>Exposure to cloud environments / AWS &amp; DevOps tools and techniques</li><li>Strong problem-solving skills and the ability to work independently and in a team environment.</li><li>Excellent communication skills and the ability to work effectively with cross-functional teams.</li></ul>

Responsibilities: <ul><li>Develop and maintain data pipelines for efficient extraction, transformation, and loading (ETL) processes.</li><li>Design and optimize data storage solutions, including Amazon Redshift data warehouses and Amazon S3 data lakes</li><li>Ensure data quality and integrity through validation, cleansing, and error handling processes.</li><li>Collaborate with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets for business intelligence.</li><li>Implement data security measures and access controls to protect sensitive information.</li><li>Automate and improve data processes and workflows for scalability and efficiency.</li><li>Monitor data infrastructure performance and address any issues promptly.</li><li>Stay updated on industry trends and emerging technologies in data engineering.</li><li>Document data pipelines, processes, and best practices to facilitate knowledge sharing.</li><li>Continuously optimize data architecture to support the companys evolving data needs.</li><li>Work cross-functionally to drive data-driven decision-making within the organization.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Information Technology.</li><li>Minimum 6 years of experience in data engineering - CS</li><li>Knowledge of AWS services, particularly Glue, Redshift and S3.</li><li>Data Storage and Management - Amazon S3, Amazon RDS and DynamoDB</li><li>Data Processing and ETL - AWS Glue</li><li>Data Warehousing - Amazon Redshift</li><li>Programming and Scripting:</li><li>Proficiency in languages like Python, Java, or Scala for data manipulation and automation.</li><li>Data Modeling and Architecture&nbsp;</li><li>Monitoring and Optimization - Using AWS CloudWatch for monitoring and optimizing data workflows</li><li>Proficiency in SQL and database management.</li><li>Experience with ETL (Extract, Transform, Load) processes.</li><li>Familiarity with data warehousing and cloud platforms (AWS, Azure, or Google Cloud).</li><li>Strong data modeling skills</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain cloud-based infrastructure using AWS or Google Cloud.</li><li>Ensure compliance with asset management regulations in relevant countries.</li><li>Monitor and optimize cloud resources for performance, cost, and security.</li><li>Collaborate with cross-functional teams to develop and implement cloud solutions.</li><li>Troubleshoot and resolve cloud-related issues promptly.</li><li>Develop and maintain documentation for cloud infrastructure and processes.</li><li>Stay updated with the latest cloud technologies and best practices.</li><li>Managing cloud environments in accordance with company policies and security guidelines.</li><li>Developing, deploying and debugging IaC code (Cloud formation and Terraform).</li><li>Interacting with users, providing cloud support, and making recommendations based on user needs.</li><li>Employing exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems.</li><li>Educating teams on the implementation of new cloud technologies and initiatives.</li><li>Regularly reviewing existing systems and making recommendations for improvements.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field.</li><li>3-7 years of experience in cloud engineering, with a focus on AWS or Google Cloud.</li><li>Experience in the financial services industry.</li><li>Strong understanding of cloud security, networking, and cost management.</li><li>Knowledge of DevOps practices and tools.</li><li>Familiarity with asset management regulations in countries where UOB Asset Management operates.</li><li>Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation.</li><li>Proficiency in scripting languages like Python, Bash, or PowerShell.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills. Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect)</li></ul>

Responsibilities: <ul><li>Manage and administer the Microsoft Azure cloud environment, including Migrations, provisioning, configuration, performance monitoring, policy governance and security&nbsp;</li><li>Design, implement, and manage scalable, secure, and reliable Azure cloud infrastructure.&nbsp;</li><li>Collaborate with development, operations, and security teams to ensure seamless integration and deployment of cloud services.&nbsp;</li><li>Good Knowledge on Cloud Adoption Framework (CAF) and Well Architecture Framework (WAF)&nbsp;</li><li>Implementation and management of Public and internal DNS server.&nbsp;</li><li>Monitor and optimize cloud performance, cost, and security.&nbsp;</li><li>Automate infrastructure provisioning, configuration, and management using tools like ARM templates, Terraform, and PowerShell.&nbsp;</li><li>Familiarity with CI/CD pipelines and DevOps practices.&nbsp;</li><li>Troubleshoot and resolve issues related to cloud infrastructure and services.&nbsp;</li><li>Implement and maintain disaster recovery and backup solutions.&nbsp;</li><li>Stay up to date with the latest Azure services, features, and best practices.&nbsp;</li><li>Strong knowledge of Azure services, including virtual machines, storage, networking, SQL PaaS, and security.&nbsp;</li><li>Designing and implementing IAM policies to ensure secure and efficient user access management.&nbsp;</li><li>Create and maintain comprehensive documentation for VMware environments, including configurations, procedures, and troubleshooting guides.&nbsp;</li><li>Provide advanced troubleshooting for complex issues within the VMware infrastructure.&nbsp;</li><li>Develop and design SDDC solutions, integrating vSAN for storage virtualization and NSX-T for network virtualization&nbsp;t.&nbsp;</li><li>Install, configure, and manage VMware vSphere environments, including ESXi hosts and vCenter Server.&nbsp;&nbsp;</li><li>Perform regular updates and patch management for vSphere components&nbsp;</li><li>Configure and manage Veeam Backup &amp; Replication jobs to ensure data protection across virtual and physical environments&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or a related field.&nbsp;</li><li>Minimum of 8+ years of experience in Infrastructure and networking (with 3+yrs in cloud engineering and consulting, with a strong focus on Azure, and AWS etc)&nbsp;</li><li>Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.&nbsp;</li><li>Relevant certifications (e.g., Microsoft Certified: Az-500, AZ-700,Az-305, VMware Certified Advanced Professional/Nutanix certified professional, etc.,) are highly desirable&nbsp;</li><li>Expertise in Nutanix/VxRail deployment and Lifecycle Management</li><li>Experience with cloud platforms such as AWS or Google Cloud is a plus.&nbsp;</li><li>Experience in deployment and configuration of VMware environments, including ESXi hosts, vCenter, and related components.&nbsp;</li></ul>

Responsibilities: <ul><li>Develop and maintain the organizations enterprise data architecture strategy, ensuring alignment with business requirements, data governance policies, and industry best practices.</li><li>Architect and implement cloud-based data solutions using Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics Dedicated SQL Pool.</li><li>Design and oversee the implementation of data integration processes, including ETL/ELT pipelines, to move data from various sources into the Azure data platform.</li><li>Architect and implement big data analytics solutions using Azure Databricks, leveraging its Apache Spark-based analytics engine for data processing, machine learning, and advanced analytics workloads.</li></ul> Requirements: <ul><li>Experience in cloud platform expertise (Azure, AWS, Google Cloud).</li><li>Strong knowledge of managing security infrastructure and applications.</li><li>Direct, hands-on experience or strong working knowledge of vulnerability management tools.</li><li>Understanding of standard industry compliance benchmarks (NIST, HIPPA, CIS, PCI DSS, GDPR).</li></ul>

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>2+ years of experience as a Data Analyst, Digital Transformation Analyst or in a similar analytical/technical role preferably in a procurement or supply chain environment.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

Responsibilities: <ul><li>In this role, you will dive deep into the realm of IoT data, striving not only to predict equipment failures but also to gain a comprehensive understanding of the maintenance processes currently implemented across the 60+ countries where operates.&nbsp;</li><li>Your expertise will be instrumental in delivering actionable insights and innovative ideas aimed at extracting even greater value from our data for the benefit of our customers.</li><li>All decisions and recommendations should be backed by data.&nbsp;</li><li>While doing this, you get to solve challenging problems, experiment with generative AI and predictive analytics, and work with cutting-edge tools offered to us .&nbsp;</li><li> Responsible for delivering thousands of valuable insights each day to enhance the customer experience, underscoring the significance of your role in handling production workloads in the AWS cloud environment.</li><li>Design, build, and maintain scalable data pipelines to collect, process, and store data from various sources</li><li>Create and manage data models to ensure data integrity and accessibility for analytics and reporting.Optimize and maintain databases (SQL, NoSQL) to ensure high performance and availability.</li><li>Implement data validation and monitoring processes to ensure data accuracy and reliability.</li></ul> Requirements: <ul><li>Degree in Software side - IT, CSC, BTech, MTech, MCA, Specialization in Data Science, Data engineering. Avoid candidates with Educational background in mechanical, civil and electrical engineering.&nbsp;</li><li>4+ years of data engineering experience.</li><li>Should be able to explain relevant experience in products or services worked for. Need candidates from service or product industry - data management / data analysis.&nbsp;</li><li>Proficiency with AWS, GitLab CI/CD, Databricks, Python, SQL, PySpark, and DBT</li><li>Experience with AWS Components</li><li>Experience in developing and maintaining data pipelines on AWS and Databricks</li><li>Coding proficiency with Python and SQL</li><li>Should have experience in generating reports from Dashboards like power BI, Tableau Qlik sense</li><li>Experience with software testing practices and DevOps practices</li><li>Understanding of cybersecurity guidelines, data privacy and compliancy regulations</li><li>Experience in working with IoT telemetry data, enterprise data landscapes and data structures</li><li>Experience in data engineering methods and practice</li><li>Experience in data engineering process improvements</li><li>Experience with industry best practices and technical design principles</li><li>In-depth process and data knowledge for the business domain</li><li>Additional responsibilities such as leading task forces and defect triages.&nbsp;</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Responsibilities:Design and build the next generation of the world's best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.Integrate new AI services across the platform and Aladdin application ecosystem. Refine business and functional requirements and translate them into scalable technical designs.Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.Apply quality software engineering practices throughout the software development lifecycle.Optimize the software delivery and workflow of the team. Work with team members in a multi-office, multi-country environment.Requirements:B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2+ years of proven experience, or equivalent experience, for Associate positions and 4+ years, or equivalent experience, for Vice President.Proficiency and hands-on experience in object-oriented programming with Java and Python.Proficiency in designing and building scalable APIs and Microservices.Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.Ability to reverse engineering existing applications.Grit in the face of technical obstacles Experience working in Agile development teams with excellent collaboration skills.

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14 aws Jobs found

Java Backend Engineer

Full Stack Engineer - Java

Senior Data Engineer

Cloud Engineer

Cloud Solution Specialist- Hybrid

Cloud Data Architect

Data Scientist

Data Engineer / Senior Data Engineer

Product Specialist

AVP - Software Engineer - AI/ML systems

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14 aws Jobs found

Java Backend Engineer

Full Stack Engineer - Java

Senior Data Engineer

Cloud Engineer

Cloud Solution Specialist- Hybrid

Cloud Data Architect

Data Scientist

Data Engineer / Senior Data Engineer

Product Specialist

AVP - Software Engineer - AI/ML systems

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.