Senior Data Scientist

Oracle Database Administrator

Consulting Principal AWS Cloud Engineer

DevOps Engineer

System Analyst

Staff Software Engineer

Sales Director, Alliance Head

Senior Platform Engineer  

Gen AI Solution Architect

Java Backend Engineer

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

Responsibilities: <ul><li>Design, implement, and maintain Oracle database systems to meet project and business requirements.</li><li>Perform database migration projects, including upgrades and platform transitions.</li><li>Ensure database performance, reliability, and scalability through optimization and tuning.</li><li>Monitor database health, identify potential issues, and implement corrective actions.</li><li>Manage backup and recovery processes to ensure data integrity and disaster recovery readiness.</li><li>Configure and maintain database security, including user roles, privileges, and encryption.</li><li>Collaborate with development teams to support application performance and troubleshooting.</li><li>Provide documentation, reports, and regular maintenance support for Oracle databases.</li></ul> Requirements: <ul><li>Diploma/Degree in Computer Science, Information Technology, or related fields.</li><li>At least 8 years of hands-on experience with Oracle database projects in GCC environments.</li><li>Strong knowledge of Oracle database architecture, performance tuning, and backup/recovery strategies.</li><li>Experience with AWS RDS for Oracle and Oracle RAC.</li><li>Experience in Oracle TDE implementation.</li><li>Proficient in Oracle database patching, upgrades, and migration.</li><li>Experience in database migration from on-premise to AWS has added advantage.</li><li>Experience in writing Linux shell script to perform data validation on migrated data.</li></ul>

Responsibilities: <ul><li>Demonstrated ability to drive cultural change and advocate for cloud transformation Key Responsibilities Cloud Strategy &amp; Leadership&nbsp;</li><li>Develop and implement a comprehensive AWS cloud strategy, ensuring alignment with business and technology goals.&nbsp;</li><li>Provide technical leadership and advocacy, championing cloud-native best practices and innovation.&nbsp;</li><li>Lead and drive architectural decisions, ensuring scalability, security, and operational efficiency.</li><li>Cloud Architecture &amp; Design&nbsp;</li><li>Architect secure, scalable, and highly available AWS cloud environments.&nbsp;</li><li>Develop and maintain enterprise-wide cloud blueprints, patterns, and frameworks to drive consistency.&nbsp;</li><li>Research and integrate emerging cloud technologies to foster continuous innovation. Infrastructure as Code &amp; Automation&nbsp;</li><li>Lead adoption and implementation of Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Helm.&nbsp;</li><li>Design and optimize CI/CD pipelines to streamline cloud deployments and operations.&nbsp;</li><li>Implement self-healing and automated failover mechanisms to enhance resilience and reliability.</li><li>Kubernetes &amp; Cloud-Native Technologies&nbsp;</li><li>Manage and optimize Kubernetes clusters (EKS, Helm, IAM) for scalability and security.&nbsp;</li><li>Define and enforce best practices for containerized applications and orchestration.&nbsp;</li><li>Improve Kubernetes networking, ingress, and observability solutions to enhance performance. Security &amp; Compliance&nbsp;</li><li>Establish and enforce security best practices for AWS environments, including IAM, WAF, Secret Manager, and encryption.&nbsp;</li><li>Implement zero-trust security models and secure multi-account AWS environments.&nbsp;</li><li>Conduct security audits, incident response, and ensure compliance with industry standards. Monitoring, Logging &amp; Reliability Engineering.</li><li>Deploy and manage monitoring tools (DataDog, Splunk, CloudWatch, Coralogix) to ensure visibility and observability.&nbsp;</li><li>Implement SRE principles to enhance system uptime, reliability, and efficiency.&nbsp;</li><li>Conduct post-mortem analysis and drive continuous improvements in cloud performance. Collaboration &amp; Thought Leadership&nbsp;</li><li>Work closely with software developers, system engineers, and security teams to design and implement cloud solutions.&nbsp;</li><li>Provide mentorship, training, and technical leadership to engineering teams.&nbsp;</li></ul> Requirements: <ul><li>10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li>Deep understanding of AWS services, including EC2, EKS, RDS, S3, Lambda, VPC, IAM, Transit Gateway, and CloudFormation.&nbsp;</li><li>Expertise in Kubernetes (EKS, Helm, Daemon Sets, StatefulSets, Karpenter, external-dns, aws-cni).&nbsp;</li><li>Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).&nbsp;</li><li>Hands-on experience managing CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).&nbsp;</li><li>Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).&nbsp;</li><li>Strong networking and security knowledge (DNS, VPC, NAT, Security Groups, IAM).&nbsp;</li><li>Experience designing and developing scalable, production-grade software tools and automation scripts using Python. Preferred Certifications&nbsp;</li><li>AWS Certified Solutions Architect – Professional (or equivalent).&nbsp;</li><li>Additional certifications in Kubernetes (CKA), AWS Security, or DevOps are a plus. Leadership &amp; Soft Skills&nbsp;</li><li>Proven experience leading cloud architecture and strategy initiatives.&nbsp;</li><li>Ability to mentor and guide technical teams in a fast-paced, agile environment.&nbsp;</li><li>Strong problem-solving and troubleshooting skills in complex cloud environments.</li><li>Excellent communication skills with the ability to translate technical concepts for engineering, business, and executive stakeholders.&nbsp;</li></ul>

Responsibilities: <ul><li>To provide operational support for the overall Agile DevOps Platform, which includes:&nbsp;</li><li>Drive thought leadership in DevOps practices.</li><li>Work closely with Machine Learning Engineers to automate model training, testing and deployment into production using Continuous Integration/Continuous Delivery (CI/CD)&nbsp;</li><li>Hands on implementation and maintenance of CI/CD pipelines&nbsp;</li><li>Work closely with Security Architect to integrate security best practice into the pipeline&nbsp;</li><li>Identify and resolve problems in a timely fashion&nbsp;</li><li>Maintenance and upgrading of platform tools&nbsp;</li><li>Continuous monitoring of health of Agile products</li></ul> Requirements: <ul><li>Bachelor Degree in Computer Science</li><li>5+ Years experience in AWS Services, EKS, Kibana&nbsp;</li><li>Well-versed in agile ways of working and familiar with common tools including JIRA and Confluence&nbsp;</li><li>Experience in working in cross-functional Agile teams&nbsp;</li><li>A strong technical foundation in the following:&nbsp;</li><li>Good working experience with cloud-based technologies and architectures (AWS, Azure or&nbsp;&nbsp;&nbsp;GCP). AWS know-how is preferred&nbsp;</li><li>Experience with CI/CD practices and systems (e.g. git, git flow, trunk-based development).&nbsp;</li><li>Experience and good knowledge of Containerization (docker etc.)&nbsp;</li><li>Container orchestration using Kubernetes</li><li>Scripting language (shell, ruby/jruby, perl, python, powershell etc.)&nbsp;</li><li>Monitoring and data collection tools (nagios, splunk, and etc.)&nbsp;</li><li>SCM tools (git, bitbucket)&nbsp;</li><li>Build tools (ant, nant, rake, etc.)&nbsp;</li><li>Packet management (rpm, npm and etc.)&nbsp;</li><li>Configuration management tools (Ansible, chef, Terraform, puppet etc.)&nbsp;</li><li>Microservices architecture&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Maintain the Project Management Office (PMO), managing communications across the contract, tracking assets &amp; documentations and monitoring the progress of work including overseeing the services of our ICT O&amp;M contractors&nbsp;&nbsp;</li><li>Utilize cloud technologies like GCC Azure, AWS and Google Cloud Platform to conduct end-to-end systems monitoring, problem resolution and to save operating costs</li><li>Familiar with local public sector projects and government policies and processes such as IM8, cybersecurity, data security</li><li>Collaborate with business &amp; technology stakeholders, ICT providers or government agencies and other external parties to drive new initiatives/enhancements</li><li>Offer support in managing, maintaining, and testing IT application systems, ensuring their efficient operation and functionality</li><li>Review project deliverables (e.g. system documentations, monthly project report, log review for privileged user access, test plan, test reports, application design/ code) to ensure the completeness for acceptance; and&nbsp;</li><li>Ensure project deliveries complies with relevant policies, standards, and guidelines, and identify and address any compliance gaps.&nbsp;</li><li>project coordination &amp; monitoring, asset management, resource tracking, meeting logistics, service/change request processing, records/document management</li><li>Perform requirement gathering, requirement analysis, business process mapping, design thinking, prepare requirement specifications, flow charts, logical diagrams, and initiate process improvements.</li><li>Agile, Software Development Life Cycle (SDLC) and testing methodologies</li></ul> Requirements: <ul><li>Bachelor’s degree in Business, Management of Information Systems, Information/ Infocom Technology, or related discipline.</li><li>8 years of experience in IT.</li><li>6 + years experience in Public sector.</li><li>Singapore Government (Public Sector) experience is mandate.</li><li>GCC Experience is additional advantage.</li><li>6+ Years Experience, Singapore Government (Public Sector) experience is mandate.</li><li>GCC Experience is additional advantage.</li><li>Maintain the Project Management Office (PMO), managing communications across the contract, tracking assets &amp; documentations and monitoring the progress of work including overseeing the services of our ICT O&amp;M contractors&nbsp;&nbsp;</li></ul>

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>

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14 aws Jobs found

Senior Data Scientist

Oracle Database Administrator

Consulting Principal AWS Cloud Engineer

DevOps Engineer

System Analyst

Staff Software Engineer

Sales Director, Alliance Head

Senior Platform Engineer

Gen AI Solution Architect

Java Backend Engineer

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Skills

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14 aws Jobs found

Senior Data Scientist

Oracle Database Administrator

Consulting Principal AWS Cloud Engineer

DevOps Engineer

System Analyst

Staff Software Engineer

Sales Director, Alliance Head

Senior Platform Engineer

Gen AI Solution Architect

Java Backend 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.