Total 84 job vacancies by Evolution Recruitment Solutions Pte. Ltd.

This role is accountable for shaping the strategy and execution of DevOps and platform initiatives supporting the Software Defined Factory environment. The person will help improve operational efficiency across the AWS and PTC ecosystem, while advancing automation and maturing the software delivery lifecycle.

Key Responsibilities

Program and Delivery Management

• Own and drive the transformation roadmap for edge and cloud platform capabilities.
• Lead project planning and execution across multiple stakeholders, tracking milestones, risks, and overall delivery status.
• Apply suitable delivery approaches such as Agile, Scrum, or blended models depending on project needs.
• Work closely with architects, engineering leads, product stakeholders, and design teams to ensure strong alignment and execution.

Edge Platform, Cloud, and DevOps

• Manage mid-sized migration initiatives with a focus on stability, security, performance, and cost control.
• Define and improve DevOps standards, frameworks, and tooling to increase engineering productivity and delivery speed.
• Lead the rollout and enhancement of CI/CD pipelines and automation practices across the environment.
• Continuously improve cloud infrastructure in terms of scalability, reliability, and spend efficiency.
• Oversee external technology partners, including commercial discussions, contract handling, and value optimization.
• Stay current on market developments and emerging technologies that can strengthen developer productivity, system resilience, and operational effectiveness.
• Provide leadership in enterprise-level edge platform and DevOps modernization efforts.
• Set and maintain best practices for infrastructure management, release processes, and operational support within the IoT platform landscape.

People Management

• Support team development through coaching, feedback, and career growth planning.
• Maintain regular communication with team members and manage performance review processes.

Requirements

• Degree in Computer Science, Information Technology, or another relevant technical discipline.
• 8+ years of experience across IT infrastructure, cloud platforms, DevOps, or related areas, ideally within manufacturing or plant-based operations.
• Familiarity with PTC tools such as Kepware and ThingWorx, along with Git-based release and CI/CD workflows using GitLab or GitHub.
• Strong practical experience with platforms and tools including OpenStack VMs, VMware, Red Hat OS virtualization, and container-as-a-service environments.
• Experience building and operating container platforms, including provisioning hosts and deploying or scaling applications through APIs, portals, or virtualized infrastructure.
• Solid background in CI/CD design and DevOps ecosystem implementation.
• Strong knowledge of high-availability database environments, especially PostgreSQL and InfluxDB, including migration and modernization from legacy setups to cloud-oriented architectures.
• Experience in monitoring, tuning, and improving systems for performance and scalability.
• Strong command of Kubernetes, OpenShift, containers, and cloud-native design patterns.
• Hands-on exposure to infrastructure-as-code and automation technologies such as Terraform, Ansible, and Helm.
• Strong understanding of AWS and hybrid or multi-cloud operating models.
• Strong leadership presence with effective communication and stakeholder engagement skills.
• Ability to lead major transformation initiatives in large and complex enterprise settings.

This role is responsible for leading the design and implementation of modern data platforms and analytics solutions for enterprise environments. The person in this position will help define technical architecture, guide delivery teams, and work closely with stakeholders to turn business requirements into scalable and practical data solutions.

Key Responsibilities

• Lead the architecture and implementation of data solutions across areas such as analytics platforms, data warehouses, data lakes, and large-scale data ecosystems
• Design and maintain conceptual, logical, and physical data models that support scalability, performance, and long-term maintainability
• Provide technical leadership to engineering teams through mentoring, solution guidance, and review of development quality
• Partner with business and project stakeholders to translate functional requirements into technical designs and implementation approaches
• Oversee end-to-end project execution, ensuring deliverables, priorities, and timelines are effectively managed
• Define and promote best practices in data engineering, modelling, governance, and development standards
• Serve as a senior technical point of contact for stakeholders when resolving issues or addressing complex technical topics
• Support continuous improvement by exploring new technologies, methods, and ways to strengthen the team’s delivery capability

Requirements

• Degree or diploma in Computer Science, Information Technology, or a related field
• 5+ years of relevant experience in data engineering, data warehousing, analytics platforms, data lakes, or big data environments, including experience leading or managing technical teams
• Strong knowledge of data modelling methodologies such as dimensional modelling, Kimball, star schema, snowflake schema, Data Vault, and third normal form
• Experience optimizing data structures and queries for performance across different database platforms
• Proven experience delivering enterprise-scale data projects with ownership of solution design and technical direction
• Strong hands-on skills in SQL and Python; exposure to Java or Scala would be an advantage
• Demonstrated ability to lead engineers, allocate work, and develop junior team members
• Familiarity with Linux or Unix environments, as well as container technologies such as Docker or Kubernetes, is beneficial
• Good understanding of ETL/ELT concepts and experience with modern cloud data platforms such as Snowflake or similar technologies on AWS, Azure, or Google Cloud
• Exposure to data governance, data quality, or master data management would be useful
• Strong communication skills with the ability to engage both technical and non-technical stakeholders effectively

About the Role

We are looking for an experienced mid-Senior Backend Developer responsible for building and scaling cloud-native backend services that power mission-critical AI products. This role is ideal for engineers who are comfortable designing cloud-oriented systems using modern engineering practices, and who have strong foundations in distributed systems and multi-threaded programming. You will work closely with product, frontend, and platform teams to deliver highly reliable, scalable, and secure backend systems in a fast-paced, agile environment.

Responsibilities

• Design and build cloud-native backend services and APIs that are scalable, secure, and production-ready.
• Develop and maintain backend components using C# / .NET (preferably .NET 8) following modern engineering standards.
• Contribute to system architecture for distributed systems, including service-to-service communication, resilience, and scalability patterns.
• Build systems that handle concurrency and multi-threading safely and efficiently (e.g., async patterns, thread safety, race conditions, performance tuning).

Requirements

• Min 3+ years of backend engineering experience with strong hands-on expertise in C# and .NET Core (V6 and above).
• Strong experience designing and building RESTful APIs and backend services.
• Proven ability to build cloud-oriented systems (AWS/Azure/GCP) using modern practices such as containerization, infrastructure awareness, and CI/CD.
• Solid understanding of distributed systems fundamentals and multi-threading / concurrency concepts.
• Strong SQL knowledge and experience with relational databases.

Overview
We are looking for a Data & AI Scientist to design and develop scalable, cloud-native data and AI solutions. You will work with cross-functional teams and industry partners to build innovative AI applications that address real-world challenges and deliver impactful data-driven products.

Responsibilities

• Collaborate with product owners, engineers, and industry partners across the AI product lifecycle (concept, design, prototyping, deployment, and operations).

• Evaluate emerging AI technologies and research for industry applications.

• Develop AI algorithms and software components using microservices-based architecture.

• Participate in agile software development and document technical requirements and solutions.

• Implement and validate AI models while ensuring scalability, fairness, security, and operational efficiency.

• Contribute to thought leadership through technical articles, blogs, or research papers.

• Collaborate with industry partners, research institutes, and universities.

Requirements

• Degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.

• Strong knowledge of AI domains such as Computer Vision, NLP, recommendation systems, or Synthetic AI.

• Experience with AI deployment and production environments, including mobile or IoT.

• Strong programming skills in Python or C++.

• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.

• Strong communication, stakeholder management, and collaboration skills.

Overview
We are looking for a Conversational AI specialist to support the training, optimisation, and maintenance of an enterprise chatbot platform. The role involves improving chatbot performance through model training, conversation flow optimisation, and knowledge base administration.

Responsibilities

• Train and fine-tune chatbot models for intent recognition, entity extraction, and response accuracy.

• Manage and update the chatbot knowledge base to ensure information accuracy and relevance.

• Monitor chatbot performance and optimise responses using data analytics and user interaction insights.

• Improve conversation flows and support ongoing maintenance of the chatbot system.

Requirements

• Minimum 2 years of experience in chatbot development, training, or administration.

• Knowledge of Natural Language Processing (NLP) and machine learning concepts.

• Experience with intent classification, entity recognition, and conversational AI platforms.

• Experience in chatbot performance monitoring and optimisation.

Preferred

• Experience with government or enterprise chatbot deployments.

• Familiarity with LLM-based chatbots or conversational AI frameworks.

Overview
We are seeking an AI/ML Researcher to develop and experiment with Large Language Model (LLM) solutions. The role focuses on advancing NLP and generative AI capabilities through research, experimentation, and collaboration with engineering teams.

Responsibilities

• Design and conduct research experiments related to LLMs and NLP

• Develop AI models using TensorFlow, PyTorch, or similar frameworks

• Work with engineering teams on data collection, preprocessing, and model training

• Analyse large datasets and report research findings

• Contribute to research documentation and technical discussions

Requirements

• Degree in Computer Science, Engineering, Statistics, or related field

• Min 1 year of experience in AI/ML research

• Experience in NLP, LLM components, information retrieval, prompt engineering, or generative AI

• Strong programming and analytical skills

• Ability to work collaboratively in research and engineering teams

DearApplicant,

If you orsomeone you know is interested, please send the CV directly toVeronicaE@evolutionjobs.sg (most preferred, as I may overlook some CVs due tothe high volume).

Please notethat visa sponsorship is not available at this time.

JD

Key Responsibilities

• Serve as a Solution/Enterprise Architect to implement an updated technology foundation for the bank, with full ownership and accountability for architecture deliverables across process, information, and technology layers from concept through implementation.

• Analyse stakeholder requirements, current-state architecture, and capability gaps to design a future-state architecture for core banking and payment solutions, with a focus on:

  • Reducing complexity

  • Improving cost efficiency

  • Mitigating operational and technology risks

  • Enhancing business capabilities

• Communicate and influence key elements of the target technology architecture to both technical and non-technical stakeholders, ensuring alignment between business objectives and technology strategy.

• Contribute to the architecture roadmap within the Core Banking and Payments domains, particularly in areas related to operations re-engineering, modernization, and digital transformation.

• Build and share knowledge within technology teams on leading industry trends across APAC related to core banking platforms, payment ecosystems, and IT delivery practices.

• Act as a trusted advisor to business and IT stakeholders, supporting the definition and delivery of scalable, secure, and high-quality technology solutions.

Domain Expertise

Core Banking

• Customer demographics and customer preferences

• Deposit products and services

• Customer and account lifecycle management

• Customer communication and engagement platforms

Payments

• Domestic / local payments

• International / cross-border payments

• Electronic cheques

• Real-time FX and contracts

• Book transfers

• Payment ecosystems including:

  • B2B (Business-to-Business)

  • B2C (Business-to-Consumer)

  • G2B (Government-to-Business)

  • G2C (Government-to-Citizen)

  • P2P (Peer-to-Peer)

  • B2E (Business-to-Employee)

  • G2G (Government-to-Government)

Collections

• End-to-end collections lifecycle management

• Collections strategy and segmentation

• Payment arrangements and recovery strategies

Dear Applicant,

If you or someone you know is interested, please send the CV directly to VeronicaE@evolutionjobs.sg (most preferred, as I may overlook some CVs due to the high volume).

Please note that visa sponsorship is not available at this time.

JDKey Responsibilities

• Work with business stakeholders to gather, analyze, and document business requirements.

• Translate business needs into functional specifications and user stories for technology teams.

• Conduct gap analysis and support solution design to improve business processes and systems.

• Facilitate workshops, meetings, and requirement walkthroughs with stakeholders.

• Support UAT planning, test case preparation, and defect tracking.

• Ensure requirements traceability and alignment throughout the project lifecycle.

• Collaborate closely with project managers, developers, and business users.

Requirements

• 5–8 years of experience as a Business Analyst, preferably within insurance or financial services.

• Strong experience in requirements gathering, documentation, and stakeholder engagement.

• Familiarity with insurance products, policy administration systems, or claims systems is a plus.

• Experience supporting system implementation or digital transformation projects.

• Strong analytical, communication, and documentation skills.

Dear Applicant,

If you or someone you know is interested, please send the CV directly to VeronicaE@evolutionjobs.sg (most preferred, as I may overlook some CVs due to the high volume).

Please note that visa sponsorship is not available at this time.

JD

Key Responsibilities

• Lead and manage end-to-end project delivery across business and technology teams.
• Define project scope, timelines, resources, and deliverables while ensuring alignment with business objectives.
• Coordinate with cross-functional stakeholders including business users, technology teams, and vendors.
• Monitor project progress, identify risks/issues, and implement mitigation strategies.
• Ensure projects are delivered on time, within scope, and within budget.
• Facilitate project governance including status reporting, steering committee updates, and documentation.
• Drive change management and ensure smooth implementation of solutions.

Requirements

• 5–8 years of experience in project management, preferably within insurance or financial services.
• Proven experience delivering technology or transformation projects.
• Strong stakeholder management and communication skills.
• Experience working with Agile, Waterfall, or hybrid delivery methodologies.
• PMP, PRINCE2, or similar certification is a plus.