Total 981 Information Technology job vacancies in Regency Park

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the Role

In this role, you will be instrumental in building a comprehensive Agentic Framework. You will focus on the complex orchestration of LLMs, integrating third-party tools, establishing agent observability, and designing the intelligent backend services that power the AI applications. If you are a builder who thrives on solving complex orchestration problems and loves using AI-assisted tools ("vibe coding") to accelerate delivery, this is the role for you.

Key Responsibilities

• Agentic Orchestration & Development: Design and build advanced orchestration layers using Python based frameworks (e.g., LangGraph, n8n) and cloud-native AI services (e.g., AWS Bedrock Agents). Develop and onboard new "skills" and third-party API tool calls for autonomous agents.
• Advanced RAG & Cloud Integration: Architect and optimize Retrieval-Augmented Generation (RAG) pipelines. Integrate with LLMs heavily utilizing the AWS ecosystem (Bedrock) and internal government API gateways, managing context windows and embedding strategies.
• Platform & Marketplace Architecture: Design and develop the backend architecture for the AI capabilities marketplace, allowing users to securely publish, share, version, and manage datasets, custom document chatbots, newly developed AI agents and agentic "skills".
• Backend & API Engineering: Architect and develop robust backend services and APIs. Design and manage relational databases (PostgreSQL) to support application state and complex AI workflows.
• Vector Search & Data Handling: Manage and optimize search/retrieval mechanisms using vector databases and search engines (e.g., OpenSearch) to improve data retrieval accuracy and latency.
• Agent Observability & Evaluation: Implement telemetry and observability for AI agents (e.g., tracking token usage, latency, and tool-call success). Build mechanisms to evaluate LLM outputs and mitigate hallucinations.
• AI Guardrails & Enterprise Security: Implement robust security measures around LLM usage, including prompt injection defenses, data masking, and output filtering, ensuring all AI interactions comply with strict government data privacy policies.
• Data Pipelines & Platform Support: Build robust data ingestion and processing pipelines (ETL) to feed the vector databases.
• Full-Stack Collaboration: Work closely with frontend engineers and UI/UX designers to seamlessly connect complex AI backend processes with React and Next.js frontends.

Qualifications

• Experience: 5+ years of software engineering experience, with mandatory and proven proficiency in backend development, API design, and system architecture.
• GenAI/LLM Experience: Hands-on experience building applications using AI middleware/frameworks (LangChain, LlamaIndex, LangGraph) and managed LLM services.
• Cloud Ecosystem: Strong familiarity with cloud service providers. Deep knowledge of the AWS ecosystem (specifically AWS Bedrock, Bedrock Agents, OpenSearch) is highly preferred, though equivalent experience in Azure or GCP is acceptable.
• Database Mastery: Strong experience with Relational Database Management Systems (RDBMS), specifically PostgreSQL, alongside Vector DB concepts.
• Modern Development: A working understanding of modern frontend frameworks (React/Next.js) and ability to leverage AI-assisted coding tools (vibe coding) while maintaining strict code quality, security, and the ability to debug complex integrations manually.

Bonus Points:

• Workflow Automation: Experience with visual node-based workflow builders (n8n, Flowise).
• GenAI Observability: Experience with LLM observability and evaluation tools.
• Government Standards: Experience building applications that comply with strict data privacy and security standards (e.g., IM8 policies).

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

About the role

Quanteam is a technology and consulting firm specialising in financial services and energy. We are looking for a Front Office Software Developer to support the pricing, risk and P&L systems used by energy and commodities trading desks.

This is a hands-on role positioned close to the trading desks, combining application development with production support. You will work alongside traders, quantitative analysts and technology teams to ensure the accuracy, stability and performance of the systems that calculate pricing, risk exposure and daily P&L across trading activities.

Key responsibilities

Front-office development

• Develop and enhance applications supporting energy and commodities trading activities (power, gas, LNG, carbon markets).
• Build and maintain tools used by traders, risk managers and analysts.
• Implement enhancements requested by trading desks to improve workflows and analytics.

Risk & P&L systems

• Maintain and improve systems responsible for daily P&L calculation and risk monitoring.
• Investigate and resolve P&L discrepancies and risk calculation issues.
• Ensure the accuracy of exposure calculations across trading portfolios.

Pricing library development

• Maintain and enhance pricing libraries used to value energy derivatives and physical trading contracts.
• Integrate quantitative models developed by quant and risk teams.
• Improve the performance and scalability of pricing calculations.

Production support

• Provide Level 2 / Level 3 support for front-office trading applications.
• Troubleshoot issues affecting pricing, P&L and risk reporting.
• Perform root cause analysis (RCA) and implement preventive fixes.

Collaboration

• Work closely with traders, risk management, quantitative analysts and platform engineering teams.
• Act as a bridge between business users and technology teams.

Requirements

Technical

• Strong programming skills in Python and/or .NET.
• Experience developing pricing or risk calculation systems.
• Strong SQL and data analysis skills.
• Knowledge of quantitative pricing models such as Black-Scholes and/or Monte Carlo methods.

Functional knowledge

• Understanding of trading environments (energy, commodities or financial markets).
• Familiarity with risk metrics and P&L calculations.
• Exposure to trading platforms or ETRM systems (e.g. Orchestrade) is an advantage.

Soft skills

• Strong analytical and troubleshooting ability.
• Comfortable working directly with traders in a fast-paced environment.
• Clear communication with both technical and business stakeholders.
• Able to manage urgent production issues calmly.

Experience

• 0–2 years of software development experience, ideally within banking, financial markets or trading technology.
• Exposure to front-office applications or trading systems is desirable.
• Experience in energy trading, commodities trading or capital markets is a strong plus.

What we offer

• The opportunity to work at the heart of energy and commodities trading technology.
• Direct exposure to traders, quants and risk teams in a collaborative environment.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the Role

We are looking for a highly technical Software Development Engineer in Test (SDET) to ensure the stability, security, and accuracy of the enterprise-grade Generative AI and agent orchestration platform.

This is a dynamic, hybrid engineering role designed for long-term growth. A substantial portion of your initial focus will be on iteratively establishing the testing strategy - tackling the unique challenges of LLM evaluation, RAG accuracy, and real-time streaming, while retrofitting automation onto the existing codebase. With an automation framework established, the scope of this role will transition into cross-functional engineering, contributing to backend feature development, internal tooling, or supporting the upcoming Data Platform project.

If you are a developer who is deeply passionate about quality, comfortable using AI-assisted tools ("vibe coding") to accelerate test creation, and eager to grow into full-stack or data engineering within the GenAI space, this is the perfect opportunity.

Core Responsibilities (QA & Automation Focus)

• AI/LLM Evaluation & Data Governance: Develop "Golden Datasets" and securely generate synthetic test data, ensuring strict adherence to IM8 data masking and anonymization policies (e.g., ensuring no production PII leaks into SIT/UAT environments). Leverage internal toolkits (Moonshot) and platforms (Litmus) to evaluate prompt regressions, manage inherent LLM non-determinism (mitigating "flaky" tests), and track AI quality metrics.
• API & Streaming Testing: Design tests for Server-Sent Events (SSE) to validate stable streams, timeout handling, and accurate JSON parsing. Validate FastAPI endpoints focusing on complex state transitions (e.g., Bot Approval workflows).
• Codebase Transition & Retrofitting: Collaborate alongside existing vendors during an overlap period to audit the current codebase, reverse-engineer existing workflows, and iteratively retrofit comprehensive automated tests onto the running system to ensure long-term stability.
• Security & Sandbox Testing: Rigorously test the AI Marketplace's Role-Based Access Control (RBAC) and tenant isolation. Validate the security and lifecycle of Agentic "Code Interpreter" sandboxes, ensuring isolated execution and proper environment cleanup.
• E2E UI Automation: Iteratively build and maintain an E2E suite using Playwright or Cypress (TypeScript). Validate dynamic UI components (Mermaid.js, markdown), file upload workflows, and secure browser live-view functionalities.
• CI/CD & Quality Gates: Work closely with the DevSecOps Engineer to execute test suites seamlessly within self-hosted GitLab CI/CD pipelines. Establish strict "Quality Gates" (e.g., automatically blocking deployments if regression thresholds or hallucination rates are exceeded) while navigating the constraints of a restricted government network.
• Performance & Load Testing: Utilize tools (e.g., k6, Python asyncio) to simulate concurrent SSE connections. Monitor and manage AWS Bedrock Token/Request per minute (TPM/RPM) limits to prevent throttling under load.

Cross-Functional Responsibilities (Growth Focus)

• Feature Development: As the automated testing pipeline stabilizes, transition into writing production code. Pick up development tickets alongside the Full-Stack and GenAI engineers (e.g., bug fixes, building internal dashboards, API enhancements).
• Data & Analytics Support: Leverage your database and data-validation skills to assist in laying out the groundwork for the upcoming internal Data Platform.
• Team Quality Enablement: Champion a culture of quality. Empower and guide other software engineers in writing their own unit and smoke tests, utilizing Moonshot and Litmus across the development lifecycle.

Qualifications

• Experience: 3+ years of experience in Software Engineering, SDET, or highly technical QA Automation roles, with a demonstrable commitment to software quality.
• Coding Proficiency: Strong programming skills in Python (for backend/API/load testing) and TypeScript/JavaScript (for frontend automation).
• Automation Frameworks: Proven experience building E2E automation frameworks using Playwright or Cypress, and API testing tools (Pytest, Postman).
• System Debugging: Comfortable tracing logs and debugging errors in distributed, containerized environments (AWS ECS, Kubernetes/EKS, or CloudWatch) to provide developers with highly actionable bug reports.
• Database & Cloud: Proficiency in SQL (PostgreSQL) and working familiarity with AWS cloud services (S3, CloudWatch, Bedrock).
• Data Resourcefulness: Experience generating synthetic test data and navigating strict data privacy regulations (e.g., government or financial sectors).
• AI/LLM Interest: A strong desire to learn and tackle the unique testing challenges of Generative AI, RAG architecture, and streaming responses. Adaptability to learn and master proprietary internal AI testing tools.

Nice-to-Have (Bonus Points):

• Previous experience as a Software Developer, Data Analyst, or Data Engineer.
• Experience with automated security testing tools (OWASP ZAP).
• Familiarity with government enterprise environments and high-security data compliance (e.g., IM8).

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

About the Role

We are looking for a highly driven AI Infra Growth Marketing Manager to lead global growth initiatives for our AI cloud and Model-as-a-Service (MaaS) platform.

This role is responsible for driving user acquisition, developer growth, brand awareness, demand generation, and revenue growth across global markets, with a strong focus on the U.S. AI ecosystem. You will work closely with product, engineering, and sales teams to position our AI infrastructure offerings—including model APIs, GPU cloud, training, fine-tuning, and inference services—for developers, startups, and enterprise customers worldwide.

Responsibilities

• Own and execute global growth strategies for our AI cloud platform and MaaS products.
• Drive developer acquisition, activation, conversion, and retention through a combination of performance marketing, content marketing, community engagement, and partnership programs.
• Research and analyze leading AI infrastructure platforms such as Together AI, Fireworks AI, DeepInfra, OpenRouter, Replicate, Modal, and similar providers to identify effective growth, pricing, positioning, and developer engagement strategies.
• Develop compelling product positioning, messaging, and go-to-market strategies for GPU cloud, model training, fine-tuning, inference APIs, and MaaS offerings.
• Manage and optimize growth channels including Google Ads, X (Twitter), LinkedIn, Reddit, YouTube, Hacker News, developer communities, newsletters, and other relevant platforms.
• Create and oversee landing pages, growth campaigns, developer-focused content, and conversion funnels.
• Collaborate with product and engineering teams to improve user onboarding and conversion across key business metrics, including registrations, account funding, API usage, GPU rentals, model training, and fine-tuning adoption.
• Track growth performance, marketing ROI, CAC, conversion rates, and other key KPIs to continuously improve acquisition efficiency.

Requirements

• 3+ years of experience in growth marketing, developer marketing, product marketing, or demand generation within AI Infrastructure, Cloud Computing, MaaS, Developer Tools, API Platforms, or SaaS.
• Proven experience driving growth in international markets, particularly the U.S. technology ecosystem.
• Strong understanding of developer-focused marketing, performance marketing, content marketing, and growth funnels.
• Hands-on experience managing paid acquisition budgets and optimizing campaigns based on conversion and ROI metrics.
• Familiarity with AI infrastructure platforms such as Together AI, Fireworks AI, DeepInfra, OpenRouter, Replicate, Modal, or similar products.
• Solid understanding of LLM training, fine-tuning, inference APIs, GPU cloud services, token-based pricing models, developer billing systems, and enterprise AI deployment workflows.
• Excellent written and verbal English communication skills, with the ability to independently create landing pages, ad copy, product marketing materials, technical marketing content, and developer-focused messaging.
• Highly execution-oriented, data-driven, and comfortable operating in a fast-paced startup environment.

Preferred Qualifications

• Existing network within U.S. AI developer communities, open-source ecosystems, influencers, media outlets, or industry partners.
• Experience marketing AI API platforms, AI agent products, model hosting platforms, API marketplaces, or developer infrastructure products.
• Proven track record of building international growth engines and paid acquisition systems from 0 to 1.
• Strong interest in large language models, AI agents, inference acceleration, GPU cloud infrastructure, and enterprise AI applications.

Why Join Us

You will play a key role in shaping the global growth strategy of a rapidly growing AI infrastructure company. This is an opportunity to help bring cutting-edge AI cloud and MaaS products to developers, startups, and enterprises worldwide while working at the forefront of the AI ecosystem.

Application Analyst

Job Responsibilities:

• Manage and support a portfolio of business and regulatory applications, ensuring system availability, stability, and compliance with service level agreements (SLAs).
• Act as the primary liaison between business stakeholders, technology teams, and vendors to support application-related initiatives and issue resolution.
• Coordinate application onboarding, upgrades, enhancements, and change implementations, including planning, resource allocation, testing, and user acceptance testing (UAT).
• Monitor and govern application performance, operational risks, policies, and compliance requirements.
• Manage incidents, service requests, and production support activities, ensuring timely resolution and minimal business disruption.
• Coordinate resources across multiple regions and time zones to support daily operations and project deliverables.
• Prepare management reports, operational metrics, status updates, and governance documentation for senior stakeholders.
• Provide application support to regional users across Asia-Pacific markets.
• Maintain application inventories, asset records, and lifecycle management documentation.
• Support procurement activities, vendor coordination, and equipment lifecycle management processes.

Requirements:

• Bachelor's degree in Information Technology, Computer Science, Business Information Systems, or a related discipline.
• Experience in application analysis and support, production support, application management within a banking or financial services environment.
• Must possess experience supporting/handling regulatory related applications
• Strong stakeholder management and communication skills with the ability to work across business and technology teams.
• Experience in incident management, change management, UAT coordination, and service delivery processes.
• Knowledge of IT governance, SLA management, risk controls, and operational support frameworks.
• Ability to manage multiple priorities in a fast-paced environment and work effectively across different time zones.
• Proficient in reporting, documentation, and Microsoft Office applications.

About the Role:

TEKsystems is seeking an experienced Network Operations Specialist to support a large-scale enterprise environment. This role focuses on maintaining network stability, managing incidents, and supporting critical perimeter security infrastructure across a global network.

You will act as a key point of contact during production incidents, leading triage efforts and ensuring rapid restoration of services while collaborating with cross-functional technical teams.

Key Responsibilities:

• Lead triage and resolution of network-related incidents, with a focus on business-critical outages
• Act as a central coordination point during major incidents and drive resolution efforts across teams
• Monitor network health using tools, dashboards, and logs to identify and respond to issues proactively
• Manage and support perimeter security technologies, including firewalls and intrusion detection/prevention systems
• Provide clear and timely status updates to stakeholders, including senior leadership
• Document incidents, root cause analysis, and resolution steps accurately
• ·Identify risks, vulnerabilities, and areas for service improvement
• ·Ensure adherence to operational standards, governance, and best practices
• ·Maintain up-to-date documentation, runbooks, and knowledge articles
• Support continuous improvement initiatives and automation where applicable

Required Skills & Experience:

• Extensive experience in enterprise network operations or support environments
• Strong background in network security technologies, particularly in perimeter and edge security
• Solid understanding of:

o  Firewall configuration and policy management

o  Network address translation (NAT), high availability, and redundancy concepts

o  Threat detection and prevention technologies

o  Secure network communication and tunnelling protocols

• Good knowledge of core network security principles and best practices for protecting external-facing environments
• Experience supporting a range of network and infrastructure services, such as:

o  Traffic management and load balancing solutions

o  Core network services (e.g. name resolution and IP address management)

o  Secure web access and proxy solutions

o  Data protection and monitoring tools

o  Understanding of encryption, certificates, and secure communications

• Strong problem-solving, analytical, and communication skills
• Ability to work effectively both independently and as part of a team in a fast-paced, high-availability environment

Why Join Us?

• Opportunity to work in a global enterprise environment
• Exposure to cutting-edge network security technologies
• Be part of a high-impact operations team supporting mission-critical systems
• Access to continuous learning and career development opportunities

We regret to inform that only shortlisted candidates will be notified.

EA Number: Venetia Moss , R1980847

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Responsibilities:

• Under minimal direction, formulate and define system scope and objectives based on both user needs and a good understanding of information technology, business processes, and industry requirements.
• Act as a liaison between client and technical solutions/ support groups, using advanced communication skills to elicit, document, analyze and validate client requirements.
• Apply extensive knowledge of the client's business and industry to develop requirements specifications.
• Document requirements and translate into proper system requirements specifications using high-maturity methods, processes and tools.
• Develop visualization, user experience and configuration elements of solution design.
• Execute and coordinate requirements management and change management processes.
• Develop and maintain internal and external relationships to support management of scope and expectations.
• Participate in proposals, feasibility studies, implementations, and new business development.
• Operates as a team member and as a team leader. Advise on methods to improve business processes.
• Consider the business implications of the application of technology to the current and future business environment.
• Develop and execute acceptance test plans and test cases.
• May lead the training of clients and peers.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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PERSOL Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Reg. R23118506, Goh Li Min