Staff Software Engineer

Sales Director, Alliance Head

Senior Platform Engineer  

Gen AI Solution Architect

Java Backend Engineer

Full Stack Engineer - Java

Senior Data Engineer

Cloud Engineer

Data Scientist

AVP - Software Engineer - AI/ML systems

Responsibilities: <ul><li>Develop software portable to a wide variety of project applications and platforms through the entire software lifecycle.&nbsp;</li><li>Perform technical analysis of candidate software, firmware, and hardware systems.&nbsp;</li><li>Develop test plans, test frameworks and unit tests.&nbsp;</li><li>Lead the project interface between business teams and technical teams to translate business requirements into technical solutions.&nbsp;</li><li>Collaborate effectively with other project team members to develop new concepts and projects.</li></ul> Requirements: <ul><li>Engineering degree in Computer Science, Electrical/Electronics/ Communication Engineering or related subject is required (2:1 or higher).&nbsp;</li><li>Proficiency in multiple relevant programming languages (E.g. C/C++/Python) is required.&nbsp;</li><li>Proficiency in utilizing devops tools such as Github or Gitlab is required.&nbsp;</li><li>Competency with embedded Linux (e.g. Buildroot or Yocto) is required.&nbsp;</li><li>Competency with bare metal development for microcontroller families such as STM32 or Nordic nRF is required.&nbsp;</li><li>Competency in an IoT protocol such as MQTT or CoAP, is required.&nbsp;</li><li>Demonstrable awareness and participation in other engineering disciplines such as electronics or mechanical engineering is preferred.&nbsp;</li><li>Experience with embedded RTOS (e.g. FreeRTOS or Zephyr) is preferred.&nbsp;</li><li>Knowledge of AI and machine learning concepts and algorithms is preferred.&nbsp;</li><li>Familiarity with cloud platforms such as AWS, in particular elements related to IoT service deployment is preferred.&nbsp;</li></ul> Critical Experience: <ul><li>8+ years relevant experience in embedded software development.&nbsp;</li><li>Demonstrable track record in leading the software element of complex projects.&nbsp;</li><li>Strong communication skills for collaborating with project team members, customers, internal business and technology leaders.&nbsp;</li><li>Proven ability to execute engineering deliverables.&nbsp;</li><li>Self-starter able to work independently and multitask with strong project planning skills.</li></ul>

Responsibilities: Strategic Partnership Development:&nbsp; <ul><li>Identify, evaluate, and establish new partnerships that align with the organizations strategic goals.</li></ul> Relationship Management:&nbsp; <ul><li>Foster and maintain strong relationships with existing partners, ensuring mutual growth and success.</li><li>Identify deals through partners for growing the business.</li><li>Partnerships are required with SAP, ServiceNow, Salesforce, AWS, Microsoft</li></ul> Collaboration:&nbsp; <ul><li>Work closely with internal delivery and sales teams to ensure seamless integration and collaboration with partners, driving joint initiatives and programs.</li></ul> Negotiation:&nbsp; <ul><li>Lead negotiations and contracts with partners, ensuring beneficial terms and conditions for the organization.</li></ul> Market Research:&nbsp; <ul><li>Stay informed about industry trends, competitor activities, and market opportunities to inform partnership strategies.</li></ul> Marketing &amp; Promotion:&nbsp; <ul><li>Collaborate with the marketing team to develop and execute co-marketing campaigns and initiatives with partners.</li></ul> Requirements: <ul><li>Minimum 10 years professional alliance management work experience within IT Services/ System Integration companies (Accenture, Cognizant, Cap Gemini, NCS, TCS, Tech Mahindra or similar companies) in Singapore and South-East Asia</li><li>Solution selling experience as opposed to just transactional goods and services.</li><li>Hungry, motivated and self-driven</li><li>Proven Alliance and partnership executive experience, meeting or exceeding targets</li><li>Ability to communicate, present and influence all levels of the organization, including executive and C-level</li><li>Should have existing C level relationships that can be leveraged for opening new accounts</li><li>Hunting experience, combined with mining</li><li>Business degree or equivalent</li><li>Leadership: Ability to lead and inspire cross-functional teams and partners.</li><li>Strategic Thinking: Strong strategic mindset with the ability to see the big picture and drive long-term goals.</li><li>Negotiation: Skilled negotiator with experience in high-stakes discussions.</li><li>Collaboration: Team player who excels in collaborative environments.</li><li>Adaptability: Flexible and adaptable to changing circumstances and priorities.</li></ul>

Responsibilities: <ul><li>Build the platforms, systems and infrastructure using in depth knowledge of software development and infrastructure as code practices.&nbsp;</li><li>Take the lead to design, develop, test, deploy, support and enhance the complex and varied automated infrastructure and platform components.&nbsp;</li><li>Take the lead to drive large efforts, stories and tasks to completion.&nbsp;</li><li>Participate in the engineering community to maintain and share relevant technical approaches and modern skills and present best code practices.&nbsp;</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.&nbsp;</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s Degree in Engineering. or 7 years of related work experience&nbsp;</li><li>10+ years relevant business or IT exp in service delivery roles&nbsp;</li><li>Deep technical &amp; functional knowledge of Pulsar, Solace, Kafka, AWS, Go programming &amp; Ansible scripting.</li></ul>

Role Description: <ul><li>The AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones.</li><li>The ideal candidate should be passionate about designing, building, implementing, and maintaining AI/ML/Generative AI applications.</li><li>Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process.</li><li>The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.</li><li>The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services.</li><li>This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position.</li></ul> Responsibilities: <ul><li>Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts.</li><li>Data Analysis, Tool and Framework selection, Model Development, Testing and Deployment.</li><li>Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models &amp; GenAI solutions.</li><li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li><li>Understand and contribute to MLOps and LLMOps focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li><li>Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.</li><li>Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies.</li><li>Audit AI tools and practices across data, models and software engineering focusing on continuous improvement and feedback mechanisms.</li><li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li><li>Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments.</li><li>Work closely with the business, segment analytics, IT teams and partners to deliver the outcome and help drive adoption.&nbsp;</li><li>Hands-on prototyping of new technology solutions by working with cross teams</li></ul>&nbsp;Requirements: <ul><li>15+ Years of Experience operating on AWS Cloud or other cloud hyperscalers with building Data and AI Solutions</li><li>15+ Years of Experience Data Warehouses, Data Lakes and Data Modelling techniques</li><li>15 + years of experience in Data Science, Statistics, and Machine Learning</li><li>15+ years of experience in machine learning model development, natural language processing, and data analysis;</li><li>Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.</li><li>15+ years of experience in implementing cloud-based AI/ML workloads on any cloud hyperscalers (AWS, Google or Azure).</li><li>Good understanding and implementation experience on GenAI models available with Cloud hyperscalers. AWS Bedrock experience is a plus but not required.</li><li>15+ Years of coding experience with Python, R, SQL etc.</li><li>Hands on experience working with LLM/RAG/Finetuning</li><li>Experience working on Agile projects and Agile methodology in general.</li><li>Experience in configuration management tools and defining configuration management schema</li><li>Excellent problem solving, communications, and teamwork skills.</li><li>Exceptional presentation, visualization, and analysis skills</li></ul> Motivational/Cultural Fit <ul><li>Innovation demeanor Problem solving.</li><li>Passion for technology.</li><li>Self development.</li><li>Results driven.</li><li>Clear and concise communication both locally and globally.</li></ul> Competencies <ul><li>Values: Integrity, Accountability, Teamwork, Innovation.</li><li>Knowledge of business ethics and Ethical Sourcing Requirements.</li><li>Ability to influence at an Executive Level both internally and externally.</li><li>Ability to lead and influence peer groups both internally and externally.</li><li>Knowledge of Total Cost of Ownership methodology (TCO).</li><li>Distributor/Supplier dynamics &amp; business models.</li><li>Knowledge of critical procurement legal requirements and contracting best practices a plus.</li></ul>

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>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: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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12 aws Jobs found

Staff Software Engineer

Sales Director, Alliance Head

Senior Platform Engineer

Gen AI Solution Architect

Java Backend Engineer

Full Stack Engineer - Java

Senior Data Engineer

Cloud Engineer

Data Scientist

AVP - Software Engineer - AI/ML systems

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12 aws Jobs found

Staff Software Engineer

Sales Director, Alliance Head

Senior Platform Engineer

Gen AI Solution Architect

Java Backend Engineer

Full Stack Engineer - Java

Senior Data Engineer

Cloud Engineer

Data Scientist

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