Stripe is looking for an exceptional transactional lawyer to join our commercial legal team supporting our fast growing business in APAC. 

Stripe is a global technology company that builds infrastructure for online commerce with a mission to increase the GDP of the internet. Not only do we handle billions of online transactions each year, Stripe is forging new paths in global commerce including the use of cryptocurrencies and stablecoins, and agentic commerce. Our innovative suite of SaaS offerings enable millions of users around the world, from entrepreneurs to multinational enterprises and online marketplace platforms, to build their businesses, establish global reach, scale faster and operate more efficiently. And we are just getting started! 

In this role, you will:

• Support the APAC Sales team, leading negotiations for complex and strategic agreements;
• Advise on a wide range of commercial and legal issues, including launch of new products to Stripe users and support international expansions;
• Be an integral part of the build out of Stripe’s commercial legal infrastructure so that we can scale and operate efficiently at pace with Stripe’s exponential growth - this work includes drafting and maintaining Stripe’s agreements and playbooks, leading and contributing projects to improve internal processes, leveraging AI tooling to optimize how we work and collaborate with our clients, partners and users; 
• Partner with teams across Stripe globally, including sales, operations, product, tax, risk groups, and others;
• Help the entire team drive scaled support and efficiency, working collaboratively in a global team to maximize the overall impact of the Commercial Legal team;
• Develop and deliver training and other resources to help the Sales team sell our products; and
• Be a point of escalation for outside counsel.

The person we are looking for is:

• Intellectually curious and a creative problem solver - Stripe’s products and our industry are complex and ever evolving - you should relish learning new products and finding creative solutions to challenging problems;
• A self starter with a bias for action - you are proactive and have a strong sense of ownership; 
• A clear and concise communicator (in written and verbal forms), who can distill the key risks and explain complex, nuanced issues in plain and simple terms; 
• A natural collaborator, able to guide cross-functional teams and drive to a win-win solution;
• Familiar with the range of legal issues and commercial risks that arise in connection with hosted data and technology services;
• A team player who is willing to do what it takes to contribute to the collective success; and
• Qualified in at least one APAC region with a law degree or equivalent
• 7+ years of relevant experience in-house or in a technology practice group in a top law firm.

It would be preferable but not essential for you to have:

• Fluency in mandarin and experience supporting the greater china region;
• Experience working in payment or fintech industries and knowledge of associated regulatory issues;
• In-house experience advising high growth companies; 
• Working knowledge on how to use LLM tools;
• Experience in improving legal processes with AI technology; and
• A working knowledge of data protection laws 

We are committed to building an inclusive work environment where all Stripes feel welcomed as their authentic selves—inclusive of all genders, sexual orientations, ethnicities, races, education, ages, and other personal characteristics. We work on broadening our internal diversity because we want to be culturally equipped to build products and solutions for our diverse user base.

To apply:

Please include your resume and LinkedIn profile

The role

We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.

You’re welcome to work remotely from Singapore.

Your responsibilities will include: 

• Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
• Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models
• Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
• Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
• Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency

We expect you to have: 

• 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
• Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
• Hands-on experience with:
  • Prompt engineering and LLM pipeline development, including evaluation
  • Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent
  • Vector databases and RAG implementation patterns
  • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
• Strong Python programming skills
• Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences

It would be an added bonus if you have: 

• Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)
• Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
• Work with multimodal AI models (e.g., vision-language, speech)
• Proficiency with DevOps tools (Docker, Kubernetes)
• Contributions to open-source ML/AI projects

Preferred technical stack:

• Programming Languages – Python
• ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
• Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent
• API and Web Frameworks – FastAPI, Flask
• MLOps and DevOps tools – Kubernetes (K8s), Docker, Git
• Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)

About the team:

The OKX Data Team owns and powers the company’s enterprise-wide data ecosystem. We are responsible for the full data lifecycle — from technology selection and architecture design to data ingestion, storage, ETL development, visualization, business intelligence, and advanced data science.

Our team drives end-to-end data ownership across OKX, ensuring that data is reliable, scalable, and actionable. We build the foundational data infrastructure that empowers evidence-based decision-making and continuously enhances the quality of our products and services.

As a Data Engineering Director, you will lead a high-impact team in designing and scaling mission-critical data platforms that serve the entire organization. You will also play a key role in driving the adoption of Agentic AI to elevate how we build, operate, and evolve our Data Engineering capabilities.

Responsibilities:

Requirements:

Good to have:

Perks & Benefits:

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances 
• Comprehensive healthcare schemes for employees and dependants 
• More that we love to tell you along the process!

BUSINESS ANALYST

Important Information

Location: Singapore

Responsibilities:

Stakeholder and Communication Management:

• Manage all aspects of project and program engagement from planning, external vendor relationships, scope change, solutioning , risks and issues
• Continually manage stakeholder expectations through governance processes
• Deliver appropriate and effective executive level communication on capability and solutions

• Process and Delivery Execution:

  • Ability to translate high-level requirements into detailed documentation within the organization's context.
  • Ability to evaluate and analyze existing business processes and uncover areas for improvements.
  • Ability to envision and design end to end business processes, journeys and communicate and clarify requirements with developers.
  • Define detailed user stories based on business requirements, ensuring that they follow UOB’s prescribed format. Ensure that user stories have sufficient details so that developers can estimate and work with them.
  • Define detailed business processes, spanning both online and offline aspects. Coordinate with various stakeholders in UOB to get detailed requirements and ensure that they are met through proposed solution.
  • Ensure user stories are consistent and high-quality.
  • Actively participate in planning meetings between Product Owners and System analysts to explain the story requirements.
  • Work with the design team for requirements that require User Interface Design.
  • Consult Solution Architect or System Analyst for technical requirements.
  • Be available for Product Owner to discuss any dependencies or backlog topic. Assist the Product Owner in defining finer details of the product.
  • Assist on operational impact and ensure affected areas embed in operational readiness plan
  • Monitor and manage risks/issues related to scope creep
  • Ensure non-functional requirements are incorporated
  • Work with test manager and tester to translate business requirements into test scenarios

Requirement:

8-10 years’ experience in Credit data and Collections domain

Essential Skills:

• Analyze collections processes and recommend improvements to enhance recovery rates.
• Collaborate with collections teams to streamline workflows and automate reporting.
• Support the design of dashboards and KPIs for tracking overdue accounts and recovery performance.
• Ensure adherence to legal and regulatory standards in debt recovery.
• Detail oriented.
• Ability to translate high-level requirements into detailed documentation within the organization’s context
• Ability to evaluate and analyze existing business processes and uncover areas for improvements.
• Ability to envision and design end to end business processes keeping an eye on the details.
• Ability to gather critical information from meetings with various stakeholders and producing useful documentation.
• Ability to communicate and clarify requirements with developers.
• Ability to identify and clearly document dependencies.

Key Domain:

• Credit Cards, Loans, Payment, Collections Domain
• Microsoft Powerpoint, Excel and Word

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality

Cyber Security Engineer (Tenable)

Important Information

Location: Singapore

BUSINESS ANALYST

Important Information

Location: Singapore

Responsibilities:

1. Stakeholder Relationship Management
   • Acts as a trusted advisor for business for all new business demands requiring technology or operations enablement / solution
   • Supports Biz T&O Head prioritizing business requests provide insights
   • Supports project activities, Quarterly Release (QR) prioritization
   • Supports effective business change by building relationships with business leaders, technology and operational business partners
2. High Level Solutioning
   • Develop high-level solution to illustrate feasibility of achieving target business outcomes
   • Aligning high-level solution with organizational technology roadmap and strategy working in consultation with enterprise architecture and business technology services teams
   • Work effectively with the business users and internal technology teams to ensure all aspects of the business requirement is defined and analysed
   • Develop robust solution – holistic taking into account of end-to-end flow (process / system)
3. Change Implementation Planning & Management
   • Undertake scoping and evaluation of new initiatives. Defining overall considerations, including scalability, maintainability, cost, operations and technology principal risk to provide a recommendation
   • Lead and collaborate with cross-functional and technical teams including business analysts, solution architect, business technology services teams, and testing teams to define/clarify requirements
   • Work with business technology services team on the smooth delivery of the solution
   • Review Test Strategy, help plan and support the user acceptance testing and help address any issues. Ensures that there is a business perspective on how the new operations and technical capabilities will be delivered to the business.
   • Spot potential problems, recognize the risk impact and propose risk mitigation strategies.

Requirement:

• 3 -5 years of work experience
• Business domain knowledge in Banking Risk Management, HR is an added plus
• Strong quantitative, analytical, problem solving and process design skills that can translate analysis into solutions that meet business objectives
• Hands-on resourceful team player. Must feel comfortable in data analysis, excel macros, and doing quick mock-ups in Excel as a data dashboard  
• Should be able to work under minimal supervision and not lose sight of overall delivery
• Understanding of technology and operational processes across functions / departments in the bank/market.
• Familiar with change management processes and project management fundamentals
• Strategic forward-thinking approach to challenges with outstanding communications, influencing, negotiating and persuasion skills
• Passionate, diligent and resilient individual with ability to thrive in ambiguity
• Experience in scoping and evaluation – Defining overall considerations, including scalability, maintainability, cost, operations and technology principal risk to provide a recommendation
• Bachelor’s degree in engineering/ business/ finance or equivalent
• Minimum 3 years of relevant banking and/or consulting experience

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality

Mobile Application Developer – Android & iOS

Important Information

Location: Singapore

12 months contract

Job Summary

We’re looking for a Mobile Application Developer to design, build, and support Android and iOS applications for our client engagements. You’ll work closely with product, backend, and data teams to ship features, maintain app health, and build analytics dashboards that drive business decisions.

Job Description

• Design, develop, test, and deploy native/hybrid Android and iOS mobile applications.
• Provide ongoing application maintenance, bug fixes, and performance enhancements.
• Assist in building and enhancing data analytics tools and dashboards for app usage insights.
• Collaborate with internal teams on requirement analysis, sprint planning, and release management
• Ensure app security, scalability, and compliance with platform guidelines and store policies.
• Support UAT, production releases, and post-go-live monitoring.

Required Skills and Experience

• Strong experience in Android and iOS development
• Exposure to HarmonyOS NEXT (preferred)
• Working knowledge of React (good to have)
• Familiarity with Mandarin language (preferred)
• Ability to work in a Singapore-based environment

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Mainframe System Administrator

Important Information

Location: Singapore

Responsibilities

Mainframe zOS system programmer / administrator for

• Mainframe CICS and MQ
• Mainframe zSeries hardware
• Mainframe zOS operating system
• Mainframe IBM and 3rd Party Vendor System Software
• • Mainframe storage area network
  • Mainframe attached disk storage system
  • Mainframe attached tape storage system

  Role and Responsibility includes

  • Create and maintain Host Platform technology strategy, architecture and roadmap
  • Provide Host Platform infrastructure initiatives project management
  • Design, install, configure and deploy UOB host infrastructure and solution
  • Provide Host Platform project and L3 support
  • Plan and manage Host Platform upkeep and change schedule
  • Deploy Host Platform upkeep and change
  • Manage risks and controls, provide audit support, perform RCSA for Host Platform

Education:

• Diploma in Computer Science or related field.
• At least 6 years’ relevant experience preferably in a Finance Institution.

Key Skills Required :

• Mainframe operating systems. Eg TSO, JES2, ISPF, RACF
• JCL language

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality

HPC & Cloud Infrastructure Engineer

Important Information

Location: Singapore

12 months contract

Job Summary

We’re hiring an HPC & Cloud Infrastructure Engineer to design, deploy, and optimize high-performance computing environments across on-prem and cloud. You’ll manage HPC clusters, interconnects, job schedulers, and enable AI/ML workloads at scale while driving automation and cost efficiency

Job Description

Architect, deploy, and manage HPC clusters with job schedulers, parallel file systems, and cluster management tools

Design, configure, and troubleshoot Infiniband high-throughput, low-latency interconnects for HPC/distributed workloads

Own PBS Professional scheduling: deployment, queue optimization, custom job submission scripts, workload management

Administer RHEL-based systems: performance tuning, package management, security hardening, patching via Red Hat Satellite and Ansible

Build and maintain cloud HPC environments on AWS, Azure, and GCP – provisioning, hybrid setups, migrations, and cost optimization

Implement Infrastructure as Code using Terraform/Ansible and integrate with CI/CD pipelines for reproducible infrastructure

Enable GPU & AI/ML workloads: containers, TensorFlow, PyTorch, scikit-learn, Keras, MXNet; support MLOps pipelines for training and deployment

Optimize parallel applications using MPI and OpenMP; debug and scale distributed/shared memory workloads

Drive monitoring, logging, and alerting for cluster health, job efficiency, and resource utilization

Required Skills and Experience

High-Performance Computing

Hands on experience in managing HPC clusters with job scheduler, cluster management parallel programming libraries, and parallel filesystems.

Knowledge of resource scheduling and job optimization for efficient workload management

Infiniband (Networking)

Hands-on experience with high-throughput, low-latency interconnect technologies like Infiniband.

Ability to design, configure, and troubleshoot interconnects in HPC or distributed environments.

Operating Systems and Environments 

Administration and configuration of RHEL-based systems.

Performance tuning, package management, and security hardening.

Knowledge of Red Hat Satellite and Ansible for automation.

Job Scheduling with PBS Professional 

Experience in deploying and managing PBS Professional for scheduling and workload management in HPC environments.

Customizing job submission scripts and optimizing job queues.

Parallel Programming Libraries

MPI (Message Passing Interface) and OpenMP (Open Multi-Processing):

Proficiency in writing, debugging, and optimizing parallelized code.

Experience with scaling applications across HPC systems.

Understanding of distributed memory (MPI) and shared memory (OpenMP)

paradigms.

Cloud Platforms

AWS, Azure, Google Cloud:

Expertise in provisioning, configuring, and managing services on all three platforms.

Cross-platform migration and hybrid cloud solutions knowledge.

Proficiency in managing high-performance computing (HPC) clusters on the cloud.

Deep understanding of cost optimization, security, and cloud native development tools (e.g., Kubernetes, Terraform).

Infrastructure as Code (IaC) 

Ability to design, deploy, and maintain infrastructure using automation and configuration management tools.

CI/CD pipeline integration for IaC workflows.

GPU & AI Libraries and Tools 

Hands-on experience with container technologies.

Hands-on experience with TensorFlow, PyTorch, scikit-learn, Keras, or MXNet.

Familiarity with AI/ML pipelines, model training, and optimization.

Knowledge of MLOps tools for deploying and monitoring models

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

About the Role

At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency.

We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models.

This role offers a unique opportunity to shape the future of LLM inference infrastructure, ensuring scalable, high-performance AI deployment across a diverse range of applications. If you're passionate about pushing the boundaries of AI inference, we’d love to hear from you!

Responsibilities

Inference Framework Development and Optimization

• Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models.
• Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving.
• Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability.

Software-Hardware Co-Design and AI Infrastructure

• Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators.
• Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines.

Requirements

Must-Have:

• Experience:
  • 3+ years of experience in deep learning inference frameworks, distributed systems, or high-performance computing.
• Technical Skills:
  • Familiar with at least one LLM inference frameworks (e.g., TensorRT-LLM, vLLM, SGLang, TGI(Text Generation Inference)).
  • Background knowledge and experience in at least one of the following: GPU programming (CUDA/Triton/TensorRT), compiler, model quantization, and GPU cluster scheduling.
  • Deep understanding of KV cache systems like Mooncake, PagedAttention, or custom in-house variants.
• Programming:
  • Proficient in Python and C++/CUDA for high-performance deep learning inference.
• Optimization Techniques:
  • Deep understanding of Transformer architectures and LLM/VLM/Diffusion model optimization.
  • Knowledge of inference optimization, such as workload scheduling, CUDA graph, compiled, efficient kernels
• Soft Skills:
  • Strong analytical problem-solving skills with a performance-driven mindset.
  • Excellent collaboration and communication skills across teams.

Nice-to-Have:

• Experience in developing software systems for large-scale data center networks with RDMA/RoCE
• Familiar with distributed filesystem(e.g., 3FS, HDFS, Ceph)
• Familiar with open source distributed scheduling/orchestration frameworks, such as Kubernetes (K8S)
• Contributions to open-source deep learning inference projects.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

The Opportunity

We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. While we are a remote-first company, the nature of this role requires candidates to be based in the Singapore area.

What You’ll Do

• Debug and fix issues in our platform (and ship PRs with your fixes).
• Build internal tools and copilots powered by generative AI to supercharge our team.
• Rapidly prototype proof-of-concepts for customer use cases.
• Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption.

What We’re Looking For

• You have 2-5 years of experience in software.
• Strong in Python and Golang; comfortable shipping fixes in production systems.
• Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations)
• Hands-on with OpenTelemetry and deep familiarity with distributed tracing concepts.
• Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc).
• Familiarity or eagerness to learn JavaScript/TypeScript.
• Great debugger, creative problem solver, and fast learner.
• Independent and resourceful. You create solutions, not dependencies.

Bonus Points (but not required!)

• Experience in a customer-facing role
• Built copilots, plugins, or custom GenAI-powered applications.
• Open-sourced or contributed PRs to real codebases.
• Startup or fast-moving environment experience.

Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

About the Role

We are looking for a Senior Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you’ll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You’ll Be Doing

• Architect Multi-Cloud Solutions: Explore, design, and implement multi-cloud architectures for our ML training platform to increase the availability, scalability, and resilience of high-performance compute resources (GPUs).
• System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP). Focus on resolving system-level bottlenecks—such as data loading (I/O), memory management, and network communication overhead—to maximize GPU utilization and training throughput.
• Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
• Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
• Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.
• Drive Engineering Excellence: Champion best practices in software engineering, system reliability, and code quality while mentoring junior engineers through high-level system design and code reviews.

What We’re Looking For

• BS or MS in Computer Science or related field
• 5+ years of professional experience in software engineering with strong foundations in distributed systems.
• Expertise with Python or Go or C++
• Solid experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
• Experience with the various stages of the ML development lifecycle
• Strong written and oral communication skills, with a track record of successfully taking ownership of infrastructure components and mentoring junior engineers.

Bonus Points

• Hands-on experience with ML model profiling and performance optimization for distributed training.
• Experience managing or working with high-performance compute resources (GPUs).
• Experience with ML frameworks such as PyTorch or Ray.
• Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

Mainframe Backup & DR Administrator

Important Information

Location: Singapore

12 months contract

Job Summary

Mainframe Backup & DR Administrator is responsible for ensuring the availability, integrity, and recoverability of mainframe systems through reliable backup operations and disaster recovery readiness.

Key Responsibilities:

Backup Operations & Administration

Manage and monitor daily mainframe backup operations using CA 1.

Ensure successful execution of scheduled backup jobs, troubleshoot failures, and perform root cause analysis.

Validate backup logs, reports, and error messages to ensure compliance with SLAs.

Support disaster recovery planning, testing, and execution for mainframe environments.

Collaborate with infrastructure, storage, and DR teams to ensure systems can be restored within agreed RTO/RPO objectives.

Maintain accurate documentation for backup/restore and DR procedures.

Governance & Compliance

Ensure compliance with organizational policies, regulatory standards, and data retention guidelines.

Provide audit support related to backup and recovery controls.

Required

3–6 years in mainframe operations, storage, or backup administration

Hands-on experience with CA 1, z/OS, JCL, and SDSF

Solid grasp of backup/restore, tape/ VTL concepts, and DR methodologies

Experience with ITIL processes: Incident, Problem, Change, and ReleaseAbility to work rotational shifts, weekends, and on-call as needed

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Cloud Data Engineer

Important Information

Location: Singapore

12 months contract

Job Summary

Who You Are
You are a skilled Data Engineer with a strong foundation in cloud data platforms and pipeline development. You take a structured, engineering-first approach to problem-solving and are comfortable working in governed enterprise environments. You are collaborative, detail-oriented, and committed to delivering high-quality, reliable data solutions.

Job Description

As a Cloud Data Engineer, you will act as a key enabler in transforming raw data into trusted, curated data assets. You will work within a data squad focused on data ingestion, pipeline development, and data product delivery, leveraging AWS-native technologies and modern engineering practices.

You will dive deep into business and data requirements, understanding upstream systems and translating them into robust batch ingestion pipelines. Your work will involve cloud platforms (AWS, Azure) into a unified data platform.

In this role, you will design and implement pipelines aligned with the Medallion Architecture (Bronze, Silver, Gold layers, ensuring data is progressively refined, structured, and made analytics-ready. Using AWS Glue or equivalent transformation engines, you will build scalable ETL/ELT jobs with a strong focus on performance, reusability, and maintainability.

You will orchestrate workflows using AWS Step Functions or equivalent orchestration framework, ensuring proper sequencing, error handling, and operational resilience of pipelines. Additionally, you will contribute to CI/CD automation using GitLab (SHIP-HATS), enabling seamless deployment and version control of data solutions.

Infrastructure provisioning and environment management will be handled through Terraform, following strict Infrastructure-as-Code practices. You will also ensure adherence to existing governance, security, and compliance frameworks, maintaining high standards of data quality, privacy, and reliability.

Required Skills and Experience

• 4-8 years of experience in Data Engineering
• Strong hands-on experience with AWS Glue (mandatory)
• Proficiency in PySpark and SQL for building data pipelines
• Experience designing and implementing batch data ingestion pipelines
• Hands-on experience with Medallion Architecture (Bronze/Silver/Gold)
• Hybrid/cloud environments (AWS, Azure)
• Experience with workflow orchestration using AWS Step Functions
• Hands-on experience with GitLab CI/CD (SHIP-HATS or similar frameworks)
• Strong experience with Terraform for Infrastructure-as-Code
• Understanding of data governance, data quality, and security practices
• Ability to build scalable, reusable, and production-grade pipelines

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

We are seeking a Senior Software Engineer to join our Engineering Enablement team and drive company-wide developer productivity. You will build and evolve internal platforms, services, and toolchains that power engineering workflows across Motional.

In this role, you will partner closely with teams across the organization to identify systemic bottlenecks, design scalable, self-service developer platforms that reduce cognitive load, streamline CI/CD workflows, and enable teams to move from code to production with speed and confidence.

Your primary focus will be our internal developer platform and productivity tooling, enabling engineers to ship reliable, high-quality code faster and more efficiently.

What You’ll Be Doing:

• Build scalable backend services, CI/CD pipelines, build systems, toolchains and platforms that can support developer workflows
• Work closely with engineering teams throughout the company to understand their needs, identify pain-points and drive initiatives to improve their development workflows
• Improve system reliability, performance, scalability, and observability across distributed systems by introducing new tools and/or building new features
• Monitor system performance and health, proactively identifying and resolving issues before they impact users
• Contribute to system architecture decisions and technical roadmaps

What We Are Looking For:

• Bachelor Degree in Computer Science, Engineering, or equivalent knowledge and work experience
• 5+ years in Software Engineering or related roles
• Strong background in modern programming languages (Python, Go, C++ are the ones we use).
• Experience with Unix-like environments, software, and toolchains.
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins), cloud platforms (e.g. AWS, GCP) & infrastructure as code (Terraform, CloudFormation).
• Expertise in software development lifecycle including the ability to understand ambiguous goals and convert them into software requirements
• Strong communication and interpersonal skills and ability to thrive in a fast-paced, dynamic environment.

Bonus Points (not required, but a plus):

• Experience in the AV industry or robotics
• Deep expertise with monorepo software development tools and services (e.g. Bazel)
• Previously been on on-call roster to support P1 & P0 systems
• Experience with AI/LLM integration, specifically building/extending Model Context Protocol (MCP) servers to enhance developer productivity and system automation.

Role Purpose

As a Senior Backend Software Engineer (Fixed Term Contract) within Boku’s Engineering organisation, you will be one of a small group of engineers delivering new products as part of Boku’s Innovation department. A new suite of products being built from the ground up. This is a greenfield development engagement: the work is scoped to designing and building new software, not maintaining or extending existing production services. You will work in a small, high-autonomy team with a clear remit and a defined delivery horizon, reporting to the Head of Product and Engineering.

Key Responsibilities

Backend Engineering

• Design and build production-grade services using Java and Spring Boot, targeting high throughput, low latency, and high availability (99.99%+).
• Implement and evolve RESTful/gRPC/MCP and event-driven APIs supporting payment initiation, callback handling, reconciliation, and settlement flows.
• Build for fault tolerance and resilience: circuit breakers, retry logic, idempotency, and graceful degradation under load. Maximum observability and telemetry at the core of the build to ensure easy support.
• Optimise service performance through profiling, load testing, and careful data access layer design (SQL and NoSQL).
• Collaborating with colleagues and off-shore development teams providing code-reviews and guidance as necessary to team members and development studios.

Payment Systems

• Build the core components of Payout, Card Processing and FX systems from scratch, including a payout processing engine, AI agent treasury orchestration layer, and cash forecasting service. This work is entirely new development and there is no existing codebase to maintain or inherit.
• Contribute to PCI DSS compliant system design and implementation, including sensitive data handling, audit logging, and access control.

Frontend Contribution

• Contribute React-based frontend components for internal tooling, operational dashboards, and merchant-facing interfaces where required.
• Work with Product and Design to deliver functional, well-tested UI features that meet Boku's quality bar.

FX & Treasury Integration (Desirable)

• Support integration with FX data sources including Bloomberg feeds, for use in real-time rate pricing, settlement FX, and treasury risk tooling.
• Contribute to cash position and FX exposure monitoring services, working alongside Finance and Treasury stakeholders.

Reliability & Operations

• Instrument projects with observability from day one: structured logging, distributed tracing, metrics, and alerting built as part of the product, not retrofitted. On-call and incident management for existing Boku production services are outside the scope of this contract.
• Instrument services with structured logging, distributed tracing, and metrics; contribute to SLO/SLA definitions and alerting.
• Set up CI/CD pipelines, container build configuration (Docker/EKS), and code quality gating (SonarCloud, SAST) as new infrastructure built to Boku’s engineering standards and handed over as part of the finished product.

Key Skills, Experience and Competencies

Required

• 5+ years of backend engineering experience, with deep expertise in Java and the Spring Boot ecosystem (Spring MVC, Spring Data, Spring Security).
• Demonstrable experience building and operating high-throughput, high-availability distributed payment or financial services systems.
• Strong understanding of payment system architecture: idempotency, exactly-once delivery, reconciliation, and settlement flows.
• Experience with relational databases (PostgreSQL, MySQL) and messaging systems (Kafka, RabbitMQ, or equivalent).
• Familiarity with container-based deployment (Docker, Kubernetes/EKS) and CI/CD pipeline tooling (GitHub Actions or equivalent).
• Experience with PCI DSS compliant system design and secure coding practices.
• Strong communication skills; ability to work effectively with Product, Architecture, and Operations in a globally distributed team.

Preferred

• React frontend development experience sufficient to contribute to internal tooling and dashboards.
• Experience integrating with Bloomberg data feeds (BFIX, B-PIPE, or similar) or other real-time FX data sources.
• Background in FX processing, treasury systems, or multi-currency settlement.
• Experience with financial messaging standards (ISO 20022, SWIFT MT/camt formats).
• Prior work in a payments processor, PSP, or fintech operating across multiple markets.

AI & Agentic Systems

• Practical experience building or integrating LLM-powered features into production services, including prompt engineering, tool/function calling, and structured output handling via APIs such as Anthropic or OpenAI. Familiarity with AWS Bedrock is ideal.
• Experience designing or contributing to agentic workflows: multi-step autonomous processes where models plan, call tools, and act on results — including handling retries, failure modes, and human-in-the-loop checkpoints.
• Familiarity with MCP (Model Context Protocol) or similar tool-use frameworks for connecting AI models to internal APIs, databases, and external services.
• Comfortable using AI-assisted development tooling (e.g. Claude Code, GitHub Copilot, Cursor) as part of day-to-day engineering workflow, and able to reason critically about where AI assistance adds value versus where it requires human judgement.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of professional software engineering experience in backend-heavy roles.
• Prior experience in a regulated financial services or payment processing environment strongly preferred.

Why Join Boku?

Impact: Work on payment infrastructure that processes billions of dollars annually, serving some of the world's largest digital commerce platforms across 65 countries.

Focus: A fixed term engagement with a clearly scoped remit, embedded within a high-calibre engineering team operating on greenfield and core platform work.

Culture: A collaborative, inclusive engineering culture that values craft, rigorous thinking, and delivery. Boku is a genuinely global company with deep expertise in local payment markets.

Benefits: Competitive day rate, flexible working arrangements, and Singapore-based team with global stakeholder exposure.

Responsibilities

We are looking for an exceptional AI Researcher to join our growing AI team. In this role, you will design, build, deploy, and improve ML/LLM-powered services and features that power intelligent automation and AI-driven product experiences across the Workato platform. You will work closely with our Engineering, Product, and Design teams to define and track product metrics and evaluation strategies, design customer-facing experiments and dive deep to provide actionable insights.This role is ideal for someone who combines strong ML/LLM intuition, software engineering skills and a practical mindset for shipping reliable, scalable AI systems.

• Build and improve AI services using LLMs and custom machine learning models for production use cases.

• Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring.

• Write high-quality Python code that is testable, maintainable, and efficient.

• Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost).

• Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.

• Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization.

• Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights

• Contribute to technical design and code reviews, helping raise engineering quality across the team.

• Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes.

Requirements

Qualifications / Experience / Technical Skills

• Experience with tool-use agents or workflow-aware AI systems.

• Experience building AI products in enterprise SaaS environments.

• Experience with A/B testing and statistical significance techniques.

• Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD).

• Experience working with modern data warehouses such as Amazon Redshift Snowflake.

Job Req ID: 2724

Responsibilities

We are looking for an experienced and exceptional AI / ML Engineer (Voice Agents) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane. 

You will be working on the AgentX Apps, Please click on the link for more details.

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.
  
  
• Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.
  
  
• Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.
  
  
• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.
  
  
• Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.
  
  
• Lead technical initiatives for AI system integration into existing products and services.
  
  
• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
  
  
• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
  
  
• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).
  
  
• Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).
  
  
• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.
  
  
• Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.
  
  
• Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.
  
  
• Expertise in working with use case based SLMs for realtime agent coaching and recommendations.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.
  
  
• Deep knowledge of REST API design, Pub-Sub architectures and integration patterns.
  
  
• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)
  
  
• Strong understanding of software architecture, scalability, security, and system design.
  
  
• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.
  
  
• Experience with A/B testing and experimentation frameworks.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts
  
  
• Collaborative mindset for cross-functional team work
  
  
• Detail-oriented with strong focus on quality
  
  
• Self-motivated and able to work independently
  
  
• Passion for solving complex search problems
  
  

Job Req ID: 2455

Job Title: Payroll Integration Lead(Singapore)

Important Information 

Location: Singapore

Job mode: 6 months renewable contract

Summary:

We’re seeking a Regional Payroll & Integrations Lead to manage complex Workday payroll integrations and multi-country payroll transformation initiatives across APAC.

Key Responsibilities:

Lead regional payroll system implementations and integrations across APAC, including Singapore, Australia, and India.

Manage multi-country payroll compliance and statutory requirements across the region.

Design, build, and oversee Workday integrations using Studio, EIBs, APIs, and Connectors.

Own end-to-end project planning, timelines, risk management, and governance for payroll workstreams.

Coordinate with external vendors and internal HR, Finance, and IT stakeholders to ensure seamless delivery.

Act as SME for Workday Payroll and provide guidance on best practices for integrations and data flow.

Requirements:

10+ years of experience in payroll systems and HR integrations.

Strong APAC regional payroll exposure, preferably within Banking or Large Financial Institutions.

Hands-on expertise with Workday integrations: Studio, EIBs, Core Connectors, APIs.

Solid project management experience with proven track record of delivering complex programs.

PMP / PRINCE2 / Agile certifications preferred.

Excellent stakeholder management and communication skills across global teams

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

 Tivoli Workload Scheduler (TWS) Administrator

Important Information 

Location: Singapore

Job mode: Contract

Job Summary:

We're seeking an experienced TWS Administrator with SME-level expertise in Tivoli Workload Scheduler to manage our enterprise TWS infrastructure.

Key Responsibilities:

- Execute EOS upgrades across multiple platforms

- Manage full TWS infrastructure: production issues, troubleshooting, RCA, fixes

- Install, customize, enhance, and integrate TWS with Linux/AIX/Wintel, cloud, and OpenShift

- Day-to-day administration: upgrades, patching, hardening, vulnerability fixes, user issues

- Ensure high availability, stability, and performance

- Participate in 24x7 rotational on-call support

- Automate tasks via scripting (Perl, Python, Shell)

- Troubleshoot scheduling options and develop automation tools

- Linux/UNIX administration and DevOps tools (GIT, Jenkins, Puppet, Docker, Kubernetes)

Mandatory Skills:

- 3+ years of TWS administration experience

- Strong Linux/AIX/Wintel background

- Hands-on scripting: Perl, Python, Shell

- Strong troubleshooting, RCA, and automation skills

- Experience managing enterprise-scale TWS environments

Advantage:

- Experience supporting TWS on OpenShift, Docker, Kubernetes

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

TECHNICAL PROJECT MANAGER

Important Information

Location: Singapore

Key Responsibilities
Manage Enterprise Management Information Platform Project to ensure it is delivered according to the requirements within committed timeline, budget and scope.
•    Coordinate discussions, alignments, technical meetings, and testing preparation and validation.
•    Support preparation of checklists and readiness documents for every project stage.
•    Assist in coordinate with internal teams (Infra, App, Security, Ops, PMO, and other KRI owner) to ensure alignment on deliverables.
•    Track action items and follow up end to end with owners to ensure timely closure.
•    Prepare and maintain project artefacts: minutes, status reports, issue records, project documents, and sign off documents.
•    Support audit and compliance documentation.
•    Consolidate weekly/monthly progress updates for management and steering committees.

Key Requirements
At least 5 years of hands-on experience in the following:

Technical Skills:
•    Good understanding and hands on in automation, system integration and data engineering including data analysis, data modelling (hierarchies and relationships), ETL development (data cleaning, transformation), and data validation. Able to integrate data from multiple sources and build, maintain, and optimize ETL pipelines within AWS to integrate with other system
•    Good understanding and hands on in Designing and developing interactive, intuitive dashboards using Power BI, aligned with both business and operational needs and good UX design principles. Transform key metrics—such as governance, risk, finance, and operations—into clear, actionable visuals that drive informed decision-making.
•    Good understanding and hands on with REST API, eg : Able to write, test, validate API Call and understand how to get data from other system through API call
•    Good understanding and hands on using AWS services such as lambda, EC2, S3, Glue
•    Worked with ServiceNow/tenable/sharepoint and other data sources before and know how to extract their data via API
•    Good understanding and hands on in programming & scripting eg: Python, Unix Shell Script or Power Shell.
•    Ensure compliance with ITIL best practices and company IT standards, securities and governance.

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality

Service desk engineer

Important Information

Location: Singapore

Job Summary

As a service desk engineer you will be responsible for fulfilling service requests, including hardware and software installations, configurations, and upgrades. Identifying and resolving root causes of technical issues, implementing permanent fixes to prevent recurrence. Providing exceptional customer service, ensuring that customer needs are met and expectations are exceeded.

Skills :

A-Levels/Diploma/Degree in Business, Technology, or a related field.

Minimum 1-3 years of experience in service/help desk, technical support or customer service for institutional customers within financial services or payment industry

Good understanding of basic computer hardware, software and network concepts

Possess strong communication, problem-solving and interpersonal skills.

Attention to detail and willingness to learn

Rotational shifts.

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Job Title: Senior HRIS Business Analyst

Important Information 

Location: Singapore

Job mode: 6 months renewable contract

Summary:

We’re seeking a Senior HRIS Business analyst to which focuses on HRIS enhancements, system integrations, and regulatory compliance within a highly controlled financial environment.

Key Responsibilities

• Lead end‑to‑end HRIS analysis, solution design, and implementation
• Drive HRIS integrations with payroll, benefits, finance, and compliance systems
• Ensure data integrity, security, and regulatory compliance (e.g., SOX, GDPR)
• Manage UAT cycles, stakeholder workshops, functional documentation, and reporting
• Collaborate with Regional HR COEs, IT teams, and third‑party vendors

Mandatory Skills & Experience

• 8+ years of HRIS experience
• Minimum 3 years in Banking / Financial Services
• Strong experience with Workday, SAP SuccessFactors, or Oracle HCM
• Proven HRIS integration and system enhancement experience
• Excellent stakeholder management and analytical skills

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

BUSINESS ANALYST

Important Information

Location: Singapore

RESPONSIBILITIES:

Data Relationship Mapping
•    Identify and document relationships between GRC entities (Risks ↔ Controls ↔ Regulations ↔ Activities)
•    Define cardinality and business rules for each relationship
•    Create entity-relationship diagrams (ERDs) and data flow diagrams
    
Requirements Elaboration
•    Translate high-level BRD requirements into detailed functional specifications
•    Define data validation rules and business logic
•    Document metadata requirements for the repository

Stakeholder Collaboration
•    Conduct workshops with subject matter experts (SMEs)
•    Validate data models with business users
•    Act as liaison between business and technical teams

Documentation
•    Create and maintain data dictionary
•    Document business glossary and data lineage
•    Prepare user stories and acceptance criteria for development

Mandatory:
•    5+ years of BA experience in data-intensive projects
•    Strong understanding of GRC concepts (risk management, compliance frameworks)
•    Understands data modeling 
•    Excellent documentation and communication skills

Preferred:
•    Experience with ServiceNow, and GRC tools
•    Knowledge of data governance principles
•    Familiarity with agile methodologies

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality

On Demand Administrator

Important Information 

Location: Singapore

Job mode: Contract

 Job Summary:

We're seeking an experienced CMOD Administrator to manage our Content Manager OnDemand infrastructure, support report offloading and mainframe onboarding, and drive automation and process improvements.

Key Responsibilities:

- Manage CMOD hardware, software, reports, and users

- Support EOSA report offloading and mainframe onboarding

- Automate repeated tasks using scripts (Shell, Python)

- Manage hardware and software infrastructure

- Install, configure, and maintain CMOD and related software

- Monitor and maintain DB, cache storage, and archive storage

- Automate DB and storage housekeeping activities

- Define report indexing, storage sets, and workflows

- Create and maintain application groups, applications, and folders

- Manage backup, recovery, and tuning of CMOD systems

- Resolve CMOD issues and handle SRs and production incidents

- Perform system analysis and recommend process improvements

Technical Competencies:

- CMOD, ODF, ERM, ODWEK, CMOD indexing

- Shell, Java, PowerShell, NodeJS, Python

- Databases: Oracle, DB2, MariaDB, MySQL

- RESTful APIs

- Tools: GIT, Jenkins, JIRA, Nexus, SonarQube, Bitbucket

Requirements:

- Strong CMOD administration experience

- Experience with scripting and automation

- Knowledge of databases and RESTful APIs

- Experience with DevOps tools (GIT, Jenkins, etc.)

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Change Coordinator

Important Information

Location: Singapore

6-12 months contract

Job Summary

We’re looking for an experienced IT Change Coordinator to own and govern our Change Management process end-to-end. You will ensure all IT changes are assessed, approved, and implemented with minimal risk to production environments while driving continuous service improvement. 

Skills :

Manage and oversee the entire Change Management lifecycle, ensuring compliance with ITIL standards and organizational policies.

Review, approve, or reject changes within specified SLA timelines based on quality and risk assessments.

Lead and facilitate Change Advisory Board (CAB) and Emergency CAB meetings.

Conduct thorough impact assessments and develop risk mitigation plans for all proposed changes, aiming for post-change incident rates below 5%.

Develop, implement, and update Change Management policies and standards, driving at least one service improvement initiative quarterly.

Deliver detailed monthly Change Management trend analysis reports with actionable insights.

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

IT ENABLEMENT ENGINEER

Important Information

Location: Singapore

At least 7 years of hands-on experience in the following:

Technical Skills:
•    Good understanding and hands on in automation, system integration and data engineering including data analysis, data modelling (hierarchies and relationships), ETL development (data cleaning, transformation), and data validation. Able to integrate data from multiple sources and build, maintain, and optimize ETL pipelines within AWS to integrate with other system
•    Good understanding and hands on in Designing and developing interactive, intuitive dashboards using Power BI, aligned with both business and operational needs and good UX design principles. Transform key metrics—such as governance, risk, finance, and operations—into clear, actionable visuals that drive informed decision-making.
•    Good understanding and hands on with REST API, eg : Able to write, test, validate API Call and understand how to get data from other system through API call
•    Good understanding and hands on using AWS services such as lambda, EC2, S3, Glue
•    Worked with ServiceNow/tenable/sharepoint and other data sources before and know how to extract their data via API
•    Good understanding and hands on in programming & scripting eg: Python, Unix Shell Script or Power Shell.
•    Experience in building DevSecOps pipelines 
•    Provide technical support for applications/tools supported by enablement team, including incident/problem troubleshooting, resolution and performance optimization.
•    Ensure compliance with ITIL best practices and IT standards, securities and governance.

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality

Cyber Security Engineer – IAM (SailPoint Implementation) 

Important Information

Location: Singapore

Mandatory Skills / Requirements

• Strong hands-on SailPoint implementation (IdentityIQ and/or IdentityNow) including application onboarding, connectors, identity lifecycle (Joiner-Mover-Leaver), access certification campaigns, role modeling/mining, SoD policy configuration, and production rollout
• IAM / IGA engineering beyond operations/support including identity lifecycle management, RBAC/ABAC models, access governance processes, and identity provisioning architecture
• Integration of SailPoint with enterprise systems such as Active Directory, HR systems (Workday/SAP/Oracle), databases, cloud platforms, and enterprise applications
• Hands-on development/customization within SailPoint including rules, workflows, connectors, APIs, and troubleshooting identity provisioning issues
• Security solution rollout from POC to full deployment, including UAT execution, migration planning, and stakeholder coordination
• Identity governance functions including access reviews, certification campaigns, role lifecycle management, and audit readiness
• Experience supporting security and compliance frameworks (ISO 27001, SOX, NIST, or internal audit controls) related to identity governance
• Strong understanding of authentication, authorization, SSO, federation (SAML/OAuth/OIDC) and directory services
• Scripting and integration knowledge (Java, BeanShell, PowerShell, REST APIs) for SailPoint customization
• SailPoint certifications preferred

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality

BUSINESS ANALYST

Important Information

Location: Singapore

RESPONSIBILITIES:

• Collaborate with stakeholder departments in business, operations, technology, regulators, etc and co-ordinate execution by respective owners
• Execute projects according to plan, scope, budget & timeline
• Ensure project execution adhere to policies, procedures and criterias
• Monitor, track and control outcomes to resolve issues, conflicts, dependencies and critical path deliverables
• Understand interdependencies between business, operations and technology
• Analyze risk and propose mitigation plan
• Assist in Test Progress, Defects Analysis
• Analyze current business processes to identify AI integration opportunities.
• Collaborate with business sponsors, product managers, data scientist, technology partners to realize business needs into actual solution.
• Conduct data analysis to support decision-making and validate AI model readiness.
• Familiar with Associative data modeling, predictive & text analytics, classification, data exploration, summarization.
• Work with relevant stakeholders to develop use case benefits explanation, business requirement documents (BRDs), process maps, data dictionaries, client journey, user stories..etc

REQUIREMENT:

• Bachelors’ Degree in Computer Science or related field.
• At least 4 years’ relevant experience preferably in a Finance Institution
• Able to perform 40% Project Management and 60% Functional Business Analysis Work
• Have relevant experience with Trade Finance Products or Operations

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality

AIX System Administrator

Important Information 

Location: Singapore

Job mode: Contract

Job Summary:

We're looking for an experienced AIX Administrator to collaborate with application teams, drive system upgrades, and ensure high availability of our UNIX infrastructure.

Key Responsibilities:

- Collaborate with application teams for EOS upgrade planning

- Define configuration standards for UNIX and system software

- Provide technical assistance to dev/ops teams

- Script automation using Perl, KSH, Python

- Work with GIT/GitHub, Maven, Jenkins, Docker, Kubernetes, Ansible, Puppet, Chef, Nagios

- Troubleshoot and drive system recovery with urgency

- Lead AIX OS upgrades and ensure supportability

- Review and supervise major change requests

- Conduct performance tuning and analysis

- Automate operations for efficiency

- Drive OS/software upgrade cycles

- Manage backup and recovery

Functional & Technical Competencies:

- AIX OS and system services (Volume Manager, NTP, DNS, Clustering, SSH, TSM, ITM)

- UNIX troubleshooting and tuning

- UNIX server clustering

- Information security fundamentals

- Data communication and networking

- Middleware/app execution in UNIX (an advantage)

Requirements:

- Strong AIX administration experience

- Experience with scripting (Perl, KSH, Python)

- Knowledge of DevOps tools (GIT, Jenkins, Docker, Kubernetes, etc.)

- Strong troubleshooting and problem-solving skills

- Experience with clustering and performance tuning

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

APPLICATION / TECHNOLOGY DELIVERY MANAGER

Important Information

Location: Singapore

RESPONSIBILITIES:

• Work with a team of subject matter experts, business analysts, architects and software developers to deliver projects and change requests. Provide solutions, cost estimates, functional and design specifications
• Manage business stakeholder’s expectation and establish best or alternative solutions that are feasible within the technology and timeline constraints 
• Review solution design and effort estimates from the team and prioritize projects and change requests assigned to the team
• Drive consistency in solution design and delivery across applications and development teams
• Manage delivery of initiatives – projects and change request. Responsible for planning, manage vendor and in-house development, solutioning, implementing and maintaining software applications systems. 
• Drive adoption of methods (E.g. Agile) and industry practices to improve quality and productivity outcomes
• Select, train, develop and manage technical team members in a conducive team environment
• Lead multi-vendor teams to successfully deliver solutions, manage multi-vendor teams to work amicably to support the bank’s commitments
• Work with Test manager to formulate comprehensive system test plan aligned with project scope/Change request, quality requirements and targets
• Anticipate and resolve any development issues or risks either independently or together with the relevant stakeholders and propose alternative solutions as necessary
• Resolve issues ensuring escalation and communication to stakeholders as necessary
• Lead or contribute to cross-team improvement initiatives relating to methods, tools, people, architecture, project management and governance

REQUIREMENTS:

• Strong IT delivery experience implementing large‑scale, highly available applications, preferably in payment processing, entitlements, and orchestration solutions.
• At least 10–15 years of experience in application development and maintenance, with full SDLC exposure, including hands‑on systems development, coding, writing functional/technical specifications, and testing.
• Solid foundation in service‑oriented technologies, capable of understanding service interdependencies and driving technical solutions for multi‑tiered systems.
• Hands‑on experience in Core Java and integrating open‑source libraries.
• More than 10 years of experience in designing, developing, and implementing applications using microservices architecture, RESTful APIs, and container technologies.
• Strong application performance tuning skills, including optimizing garbage collection, JBoss EAP setup, and MQ configuration for peak performance
• Good understanding of various software development methodologies and experience transitioning from Waterfall to Agile.
• Exposure to technologies including Java, Oracle, WebLogic/JBoss, Unix, OCP Platfiorms and MQ/ConnectDirect messaging.
• More than 5 years of experience:
  • Managing third‑party vendor relationships and offshore development teams to achieve business outcomes.
  • Operating at a manager level (or above) delivering global IT capabilities for a multinational company with budget responsibilities.
• Proven results‑oriented individual with strong delivery focus.
• Experience implementing and integrating third‑party solutions is preferred.
• Domain knowledge in Transaction Banking, Cash Management, and Payments is required.
• Strong understanding of payment rails and clearing systems, including:
  • RTGS (Real Time Gross Settlement)
  • MEPS+
  • Telegraphic Transfers (TT)
  • Cross‑border payments (e.g., SWIFT, correspondent banking)
• Knowledge of payment message formats and standards, including:
  • ISO 20022 (pain/pacs/camt)
  • SWIFT MT series
• Ability to understand end‑to‑end payment flows, settlements, exceptions, and integration touchpoints across upstream and downstream systems.
• Experience with compliance and regulatory requirements related to payments (sanctions, AML screening, purpose codes, reporting) is advantageous.
• DevOps pipelines, CI/CD, and deployment workflows using Kubernetes, Kafka, Git, and JIRA‑based processes

KEY DOMAINS:

• Strong understanding of payment rails and clearing systems, including:
  • RTGS (Real Time Gross Settlement)
  • MEPS+
  • Telegraphic Transfers (TT)
  • Cross‑border payments (e.g., SWIFT, correspondent banking)
• Knowledge of payment message formats and standards, including:
  • ISO 20022 (pain/pacs/camt)
  • SWIFT MT series
• Knowledge in digital assets like tokenized assets / deposits, stablecoin and wallets build using DLT/Blockchain technologies is preferred

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality

Who We Are

Who We Are

We’re a fast-growing cloud-native digital bank looking for a Lead SRE / Platform Engineer to drive initiatives to improve the reliability, resilience, and efficiency of the platform that powers our products. This is a hands-on role with leadership responsibilities: you’ll help set the technical direction for how we operate, scale, and secure our infrastructure, and you’ll build the systems that let us move quickly without breaking things.
You’ll be part of a core team that is trusted to keep it running smoothly, make it faster, and turn toil into code.

What you’ll do

• Own the observability platform. Logs, metrics, traces, events — the full picture. Make signals actionable, reduce alert fatigue, and give every team the tools to understand their systems in production.
• Build agentic SRE systems. Design and ship AI agents that investigate incidents, execute runbooks, automate remediation, and close the loop on production issues. Bring context and harness engineering discipline to agent design: grounded context, well-scoped tools, evals, and guardrails.
• Automate the platform. Turn manual processes into self-service. Every recurring operational task is a candidate for elimination.
• Drive resiliency automation. Lead initiatives such as chaos engineering, cost and performance optimization, and capacity forecasting.
• Lead through influence. Set technical direction, mentor engineers, help unblock them when they hit issues, and write the design docs that get referenced for years. Raise the bar on what “operational excellence” means here.
• Be the calm in the storm. Jump in to diagnose and remediate critical infrastructure issues. Support the team during critical deployments — you're expected to be hands-on when it matters most.

What we’re looking for

• 8+ years in SRE, platform, or infrastructure engineering, with deep production ownership of a non-trivial cloud platform.
• Strong system design chops. You can reason end-to-end about distributed systems and event-driven architectures, including failure modes and the tradeoffs between consistency, availability, latency, and cost.
• AWS and Kubernetes experience. Comfortable with EKS internals, networking, IAM/IRSA, service mesh (Istio), and the control-plane/data-plane split.
• Hands-on with the rest of our stack — Kafka, Aurora PostgreSQL / RDS PostgreSQL, S3, ELB — or equivalent managed data and networking primitives.
• Proven track record owning resiliency in a high-velocity environment: incident command, postmortems that actually change things, SLO-driven engineering, progressive delivery.
• Experience with context engineering and harness engineering — building LLM and agent systems where the prompt, retrieved context, tool surface, and eval harness are first-class engineering artifacts.
• A clear vision for what zero-downtime, zero-touch, zero-trust looks like in practice, and a track record of moving real systems toward it.
• Fluent in IaC (Terraform, Helm, or similar) and CI/CD. You believe platforms are products and treat them as such.
• FinOps mindset. Comfortable analyzing cloud cost reports, identifying inefficiencies, and driving optimization initiatives that balance cost with performance and reliability.

Our ideal candidate has

• Financial services or other regulated-environment experience.
• Experience integrating AI/LLM systems into production operational workflows — not just experiments.
• Expertise in OpenTelemetry and the broader observability ecosystem.
• Experience with Sumologic and PagerDuty (or equivalent observability and incident management tooling).
• A continuous learning mindset — you stay current and bring new ideas to the table.
• Strong stakeholder communication and management skills — you can translate technical concepts for non-technical audiences and build alignment across teams.

The Role

We are seeking a talented and motivated Quantitative Researcher to join our dynamic systematic trading team. The ideal candidate will have a strong background in software development, a passion for technology, and a keen interest in the financial industry. You will work closely with our quantitative PMs, developers, and fellow researchers to develop and maintain high-performance trading systems and tools.

Key Responsibilities 

1. Engineer predictive features from high-frequency market data and unstructured alternative datasets for machine learning (ML) models. 
2. Develop research pipelines on a distributed compute cluster for tree-based models, deep learning, NLP/LLM, and related ML models. 
3. Design and prototype ML-driven alphas for cash equities, futures, and other liquid asset classes. 
4. Collaborate with researchers and developers to deploy signals into production, and perform iterative improvements based on real performance. 
5. Track academic and industry advances in machine learning and present actionable ideas to the team. 

Required Skills & Qualifications

1. MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university. 
2. Minimum 5 years of alpha-research experience at a leading buy-side firm or global bank. 
3. Expertise in tree-based models, deep learning, and NLP/LLM with strong understanding of probability and overfitting-control practices. 
4. Proficiency in python (and preferably C++ or similar), coupled with experience on distributed/hybrid compute environments. 
5. Excellent analytical, verbal, and written communication skills, with a proactive, ownership-driven mindset suited to the fast-paced trading floor.

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

We’re not hiring someone to run models. We’re hiring someone who builds systems that think.

At SimplifyNext, our AI Engineers are core to how we deliver transformation — designing and deploying intelligent systems that genuinely change how organisations operate. You won’t be a supporting act to another team. You’ll be the one building the agents, pipelines, and infrastructure that make our AI products real.

We work across public sector and enterprise, at the intersection of AI, automation, and product-led transformation. If you’re energised by hard engineering problems, care about production outcomes - not just research benchmarks - and want your work to reach real users at scale, read on.

What You'll Do

1. Build Agentic AI Systems

• Design and build sophisticated AI agents capable of independent operation, complex decision-making, and self-correction across domain-specific contexts.
• Develop orchestration workflows using frameworks such as LangChain, LangGraph, and/or the Microsoft Bot Framework to create robust conversational and task-oriented agents.
• Implement Retrieval-Augmented Generation (RAG) systems that connect agents to live, accurate knowledge bases — reducing hallucinations and improving output quality.
• Build Memory, Reasoning, and Planning (MRP) capabilities so agents can maintain context, reason across information, and execute multi-step plans.
• Design Agent-to-Agent (A2A) communication protocols that allow multiple autonomous agents to collaborate, delegate tasks, and exchange information securely.
• Work with LLM serving solutions (Ollama, vLLM) to ensure efficient, scalable inference in production environments.

2. Deploy and Operate at Scale

• Deploy and manage AI systems on major cloud platforms — AWS, Azure, or GCP — ensuring high availability, security, and scalability.
• Containerise applications with Docker and orchestrate deployments with Kubernetes, including end-to-end on-premise cluster setup and management.
• Build and maintain CI/CD pipelines using tools like Argo (Argo Workflows, Argo CD) for reliable, automated delivery of AI services.
• Expose AI capabilities through well-documented, performant APIs that integrate seamlessly with client-facing systems and applications.

3. Train and Fine-tune Models

• Train, fine-tune, and optimise custom AI models using TensorFlow and/or PyTorch, particularly where off-the-shelf models don’t meet specific project requirements.
• Run structured experiments — hyperparameter tuning, ablations, model evaluation — to hit performance targets with confidence.
• Stay current with the latest developments in large language models and agentic AI, and bring new techniques into our systems proactively.
• Work across diverse data modalities: text, image, time-series, and graph-structured data.

Who You Are

Must-Have

• Production mindset — you’ve shipped AI systems to real users, not just demos.
• Strong fundamentals in agentic AI — you understand how to design agents that are reliable, not just impressive.
• Hands-on with at least one major cloud platform (AWS, Azure, or GCP) for deploying and managing AI workloads.
• Solid Python engineering skills and comfort working in a Git-based, collaborative codebase.
• Experience with containerisation (Docker) and orchestration (Kubernetes) in real deployment contexts.
• Clear communicator — able to explain complex technical decisions to non-technical stakeholders.

Good to Have

• 3–7 years in AI/ML engineering or a closely related role (data engineering, MLOps, applied research).
• Hands-on experience with LangChain, LangGraph, Ollama, vLLM, or similar orchestration and serving tools.
• Demonstrable RAG system implementation and optimisation experience.
• Familiarity with Memory, Reasoning, and Planning (MRP) concepts and Agent-to-Agent (A2A) protocol design.
• Experience with MLOps tooling, particularly Argo Workflows and Argo CD.
• Proficiency in TensorFlow and/or PyTorch for model training and fine-tuning.
• Exposure to knowledge graphs, semantic web technologies, or prompt engineering strategies.

This role is not for you if…

• You’ve only worked with AI in sandboxed or prototype environments and haven’t dealt with production reliability challenges.
• You prefer to work from a detailed spec rather than figuring out the right approach as you go.
• You treat deployment as someone else’s problem
• You measure success by models trained, not by outcomes delivered.

Why SimplifyNext

We partner with governments and enterprises to shift from project delivery to product thinking. That means working on problems that genuinely matter — healthcare access, business licensing, workforce development — and being held accountable for outcomes, not just deliverables.

• 3+ years of backend development in Python, Go, or Java
• End-to-end LLM Agent production experience with depth in architecture design, hallucination handling, and tool-call fault tolerance
• Hands-on AI security knowledge — Prompt Injection, Jailbreak, malicious agent injection, tool misuse — with production-ready defensive solutions
• Production experience with at least one of LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph
• Proficiency with Docker, Kubernetes, and microservice architecture

• SAST/SCA or code auditing tool experience 
• LLM fine-tuning or local model deployment; security-domain fine-tuning is a strong plus
• Open source agent projects on GitHub or merged PRs to mainstream LLM frameworks
• CTF awards or CVE/CNVD submission records

Strategic Account Executive 

Location: Singapore, Remote 

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

Drive Enterprise Transformation

Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.

Own the Full Sales Cycle

Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.

Solution Architecture

Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.

Account Expansion

Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.

Go-to-Market Partnership

Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies

Proven track record closing $1M+ ACV deals in early-stage environments

Experience selling complex technical solutions to CIO organizations

Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting

Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch

Success in highly regulated industries with complex compliance requirements

Nice-to-Have Skills:

Regulated industry experience, early-stage success

Why Join Us

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

We are seeking a talented Multimodal AI Systems Architect to develop and optimize AI systems that seamlessly integrate vision and audio models. This role focuses on enhancing our voice-to-voice interactions and multimodal retrieval capabilities, ensuring our systems are efficient and innovative.

Responsibilities:

• Integrate vision encoders and audio-native models into core agent reasoning loops.
• Optimize streaming latency for voice-to-voice AI interactions.
• Architect multimodal RAG systems capable of retrieving insights from videos and PDFs.

Qualifications:

• Experience with Whisper, CLIP, and multimodal LLM integration.
• Knowledge of streaming architectures and WebRTC.
• Expertise in cross-modal alignment.

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing  distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

• Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
• Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
• Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

• Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
• Experience managing SLURM or Kubernetes-based GPU clusters.
• Strong systems engineering background (C++, CUDA, Python).

Job's mission

What you will be working on

• Maintain data governance documentation including policies, standards, definitions, and operating procedures. Stay abreast of the latest advancements in machine learning techniques, agentic AI, and LLMs, and evaluate their applicability to Global Operations’ business challenges.
• Collaborate with data Owners, data stewards to enforce Data Governance rules across Global Operations functions
• Drive early-stage exploration and stakeholder discovery for AI Governance, clarify scope, use-case inventory, risk tiers, and key decision points to shape the operating model.
• Establish and socialize an AI Governance framework (roles & responsibilities, controls, and documentation) to support FEAT-aligned assessments across the AI lifecycle (design, development, validation, deployment, and monitoring).
• Develop, monitor, measure, and report on data quality KPIs and scorecards.
• Identify data quality issues, perform root cause analysis, and provide recommendations.
• Lead the exploration for Enterprise Data Catalogs development using tools.
• Partner with business teams to understand data quality needs and governance pain points.
• Drive agenda in Data Governance Council meetings.
• Develop Agentic AI pilots for automating core Data Governance Processes, Data Quality Monitoring, Access Controls, Detect data drifts, autonomous root cause analysis and issue resolutions.
• Conceptualize autonomous Data Governance monitoring tasks and envision Autonomous Data Stewardship

What we are looking for

• Bachelor’s or Master’s degree in Data Analytics, Data Science, Computer Science, Mathematics Information Systems, or any related quantitative / STEM field.
• Minimum 5 of experience  in Data Governance/Data Management/Analytics/Data SME roles.
• Experience with Data Governance, Data Quality, Metadata Management or Master Data Management programs. Familiarity with any commercial data governance platforms (Collibra, Atlan etc.)
• Knowledge of SAP systems (S4 HANA, CRM, SRM), Kinaxis, and business processes in Manufacturing, Supply Chain, Purchasing, Logistics, Quality, or Engineering
• Familiarity with DAMA principles. Data Governance certification CDMP
• AI Literacy of any leading AL/LLM frameworks – Claude/Copilot etc.
• Familiarity with data privacy, security, and ethical AI practices.
• Strong affinity for applying AI – concepts and tools into Data Governance
• Experience in Data Governance Project Management in High Tech Manufacturing
• Understanding of data architecture, data warehousing concepts, ETL pipelines
• Strong SQL /Python skills for data validation and profiling.
• Strong in MS Excel; PowerPoint Presentations; Microsoft Platform tools.
• Strong Communication skills - verbal and written to contribute in business discussions, communicate insights, and influence stakeholders.

What sets you apart

• Ability to deliver under tight timelines, very comfortable with uncertainty, ambiguity, and complexity.
• Strong analytical, critical thinking and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Detail-oriented with strong documentation capability.
• Ability to work collaboratively in complex cross-functional environments.