Total 8 Information Technology job vacancies

We're hiring a Head of Engineering to own the technology end to end. You will be the senior-most technical leader for Elyx, responsible for architecture, delivery, reliability, security and healthcare-grade compliance, and the engineering team. This role builds the engineering capability that lets Elyx find what works efficiently: high-throughput prototyping, instrumented so the team learns from what clients do, not only from what they say.

You'll set technical direction, hire and grow the team, and stay hands-on in the hardest technical and architectural decisions. This is a high-ownership role for someone who has built complex, AI- and data-driven systems before and wants to do it in a domain that matters.

The work is held to two standards at once: it has to be sound, and it has to change what a client actually does. Sound means evidence-based and reasoned from mechanism—and, because no two clients are the same, tested against the individual rather than assumed from the population.

Key Responsibilities

Own the architecture, delivery, reliability, and security of Elyx. You will collaborate with the product team to understand user needs, set the engineering roadmap, and lead the team of engineers to execute the roadmap in a timely manner. You will also be responsible for building an engineering culture leveraging the changing AI landscape. The core components of the Elyx product are:

• The reasoning engine. Elyx runs continuously across everything known about a client—labs, biomarkers, wearable streams, imaging, meal photos, self-reports. The engine identifies the real patterns in one client's noisy data while excluding the false ones, and monitors and validates the evolving scientific literature for the findings relevant to that client.
• The econometric search engine. This is the module to use the client’s medical and health telemetry to search against the pool of scientific knowledge, biased by the client’s preferences, to generate a list of interventions and diagnostics that should be run to maximize the client’s health. The initial focus will be on improving existing health, but over time, this system will also be useful in helping analyze options for sickcare for our clients.
• The data model and capture underneath it. The model that turns those varied inputs into one coherent, queryable picture of the client, with a confidence level on each item. Includes capturing the reasoning specialists use when they design a client's health strategy, in structured form, so the engine can later learn from it.
• The client app. The surface the client and their concierge work in, and the team's primary means of learning what works: prototypes wired to record what clients actually do, so the team learns from behaviour rather than only from what clients report. The app's subject is communication—how it asks questions, how it shows progress, the tone it uses.
• The provider app. The tool the delivery providers and the concierge work in—personal trainers, physiotherapists, nutritionists, coaches, including freelance and overseas providers who pick up a client while they travel. It gives a provider the prepared brief on what to work on for that client and their current state, so a provider new to the client can deliver against the plan without assembling context, and captures the data from each session back into the system.
• The decision pipeline. When the system proposes a change to a client's plan, the change carries a prediction of what it should achieve. How rigorously that prediction is measured is negotiated with the client. Once shipped, the change is tracked to its outcome and the result feeds back. This discipline is designed with the specialist providers team.
• The data and access layer. Confidential health data where access is not a flat on/off list——a concierge, a specialist, and an external partner each see a different, scoped slice, bounded by client consent. Least-privilege access shaped by role and situation.
• The healthspan coach. Even though the client might know what to do to maximize their health, working through the list of diet, sleep, movement, etc. goals is not easy. We plan to anthropomorphize the AI agent into a healthspan coach to “brain hack” the client into adherence. This is a long term requirement that is part of our vision of where healthspan management will go.

Required skills and experience

• Engineering leadership. Proven track record leading engineering teams (10 to 25) as the senior-most technical owner of a complex production platform, responsible for architecture, delivery, reliability.
• Building the team. Proven track record of recruiting top-tier engineering talent for early-stage startups and building high-performance, motivated teams
• Hands-on. Actively contributes to the codebase (using AI or otherwise), including code reviews, and builds AI tooling to enhance team productivity; Owns the hardest technical problems directly. This is a building and managing role, not purely managing.
• Deep knowledge engineering. Demonstrated experience turning unstructured, high-stakes content into structured, queryable, evidence-graded knowledge that professionals act on. Required across two areas: a body of scientific literature, and one subject's noisy longitudinal data. Plus demonstrated experience structuring messy input at the point of capture.
• Applied AI / ML systems. Demonstrated experience building and shipping LLM/ML systems in production, with real evaluation, observability, and accuracy and hallucination control.
• Instrumentation-first. Demonstrated experience building products instrumented to learn from user behavior.
• Sensitive data access. Built systems where access to sensitive data is governed by role and situation—scoped slices, not a flat permissions scheme.
• Cloud and infrastructure. Strong modern cloud engineering (AWS or equivalent), CI/CD, and reliability practices.
• [Strong plus] Clinical data. Hands-on experience ingesting and structuring clinical data—labs, biomarker panels, imaging, EHR and external specialist records (e.g. FHIR / HL7)—into a form a system can reason over, with PHI handling under a real data-governance regime.

We are looking for an experienced Civil & Structural Resident Technical Officer (C&S RTO) to join our project team in Singapore for an HDB project.

Job Responsibilities

The C&S RTO will be responsible for site supervision and inspection of structural works in accordance with approved drawings, specifications, regulatory requirements, and instructions from the Qualified Person / Professional Engineer.

Key duties include:

• Supervise and inspect civil and structural works on site
• Ensure works comply with approved structural drawings, specifications, BCA requirements, and HDB project requirements
• Monitor contractors’ work progress, workmanship, quality, and safety compliance
• Conduct inspections for rebar, formwork, concreting, precast installation, structural works, and other C&S works
• Maintain proper site records, inspection reports, progress updates, and photographic records
• Coordinate with QP, PE, consultants, contractors, and site personnel
• Report non-compliance, defects, unsafe work, or site issues promptly
• Attend site meetings and assist in resolving technical and site coordination matters

Requirements

• Diploma / Degree in Civil Engineering, Structural Engineering, or related discipline
• IES/ACES accredited C&S RTO preferred / required
• Minimum 3 years’ relevant HDB project experience
• Relevant site supervision experience in building / residential / public housing projects
• Familiar with HDB project procedures, BCA regulations, approved drawings, site inspection procedures, and construction practices
• Able to work independently and communicate effectively with consultants and contractors
• Able to start work at site as required

Job Description & Requirements

Hiring: Resident Technical Officers (RTO) – Multiple Openings

We are currently looking for experienced 

RTOs for exciting full-time opportunities.

Role

In this role, you will establish and lead an engineering team dedicated to the stability and endurance of our robotics software platform. You will design systems that proactively identify vulnerabilities within our APIs, SDKs, web interfaces, and cloud-to-edge communication layers.  By simulating scenarios such as AI model inference timeouts, high network latency, data pipeline congestion, and malformed input, you will ensure the platform maintains a safe and predictable state even when the environment is not. You will guide a specialized team in developing automated frameworks that replicate real-world disruptions, thus providing a dependable infrastructure for the developers building the next generation of AI-driven robotics. This responsibility includes developing the necessary monitoring tools to gain deep insights into overall system health. As a key technical leader, you will collaborate with world-class engineering teams in Mountain View and Munich to synchronize resilience strategies and set global standards for software reliability.

How your work moves the mission forward

• Create automated resilience tests focusing on service boundaries and hybrid environments (on-prem and Cloud).
• Bolster the robustness of AI integrations by implementing failure injection within data pipelines.
• Deploy fuzzing and property-based testing techniques platform-wide to guarantee graceful degradation.
• Enhance the stability of developer tools and frontend systems against latency and service interruptions.
• Cultivate a culture of reliability through engineer mentorship in defensive programming and by spearheading global "Game Day" exercises.
• Construct observability tools to monitor and analyze holistic system health.

Skills you will need to be successful

• 4-year degree in Computer Science or equivalent professional experience.
• At least 5 years experience in software engineering. 
• Demonstrable experience with cloud computing.
• Proven ability to lead a team, providing architectural guidance and fostering professional growth for other engineers in a global setting.
• Experience with one of Go, Python, or C++.
• Strong communication skills. 

Skills that will differentiate your candidacy

• Distributed Systems Architecture: Strong experience building and debugging hybrid software environments where local runtimes interact with cloud-hosted services.
• Reliability Engineering Patterns: Deep understanding of software patterns for resilience, such as circuit breaking, retries with backoff, and bulkhead isolation.
• Automated Testing Proficiency: Expertise in creating frameworks for fault injection, property-based testing or coverage-guided fuzzing.
• Full-Stack Technical Knowledge: Competency in systems-level languages and an understanding of how to build resilient frontend interfaces.
• Infrastructure & Tooling: Hands-on experience with container orchestration (Kubernetes/Docker) and CI/CD pipelines to automate failure simulations.
• Robotics Software Experience: Hands-on experience with robotics frameworks or complex hardware-interfacing software.

About Four Seasons:

Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.         

At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.

About the location:

Four Seasons Hotels and Resorts is a global, luxury hotel management company. We manage over 120 hotels and resorts and 50 private residences in 47 countries around the world and growing. Central to Four Seasons employee experience and social impact programming is the company’s commitment to supporting cancer research, and the advancement of diversity, inclusion, equality and belonging at Four Seasons corporate offices and properties worldwide. At Four Seasons, we are powered by people, and our culture enables everything we do.

This role is based in Four Seasons APAC Corporate Office in Singapore, reporting to the Global Corporate Senior Director, Engineering Performance.

Summary:

The Area Director of Engineering Performance (ADEP) – APAC is a regional performance leadership role responsible for driving measurable outcomes in engineering, finance, asset reliability, and ESG across the APAC portfolio.

The role provides oversight, direction, and support for properties within the respective region. Working closely with the local property teams, the ADEP delivers on the established engineering, operational, and functional requirements and ESG goals.

The ADEP supports the Corporate Senior Director of Engineering Performance and the ESG team in developing engineering policies, procedures, and best practices, implementing new standards tailored to the specific region, managing and deploying new pilot initiatives, and providing guidance and oversight on residential reserve studies.

Professional Qualifications:

• Licensed/Registered Professional status preferred (i.e., P. Eng., etc).
• LEED certification is beneficial.

Education:

• Bachelor's degree in engineering or a related field required.

Experience:   

• Minimum eight (8) years of progressive engineering leadership experience, including multi-property oversight within APAC.
• Director of Engineering experience within hospitality or mixed-use developments.
• Experience driving measurable Energy, Utility %, and Repairs and Maintenance (R+M) performance.
• Experience validating return on investment (ROI) for CAPEX and Energy Conservation Measures (ECMs).
• Experience with capital planning and asset lifecycle management.
• Experience with ESG or decarbonization implementation exposure.
• Experience mentoring senior engineering leaders.
• Experience working within a union and/or complex labour environments.
• Experience working across diverse regulatory environments in APAC

Travel:

• High level of travel expected with the ability to travel overnight, for extended periods and work remotely.

VP of Engineering — AI Mental Health Platform

Our client is building the future of mental health detection through AI-powered digital phenotyping. Backed by Singapore's public health research ecosystem and rigorous clinical research, their platform uses passive sensing technology and machine learning to identify early mental health risks, enabling timely intervention and better outcomes.

They are looking for an exceptional VP of Engineering to own the technology vision and lead engineering execution as the platform scales. This is a rare 0 to 1 opportunity to architect transformative technology at the intersection of AI and digital health.

WHAT YOU'LL OWN

- Technology Vision: Define and execute the full technology strategy and roadmap aligned to business and clinical objectives.

- Platform Architecture: Lead architectural decisions across mobile (iOS and Android), cloud backend, APIs, and microservices infrastructure.

- AI/ML Development: Lead development and deployment of machine learning models for mental health risk detection and digital phenotyping algorithms.

- Data Infrastructure: Architect systems for collecting, processing, and storing sensitive health data at scale — including real-time and batch pipelines.

- Regulatory Compliance: Ensure platform compliance with HIPAA, GDPR, and PDPA. Lead technical aspects of regulatory submissions and audits.

- Team Building: Recruit, lead, and mentor a high-performing engineering team across full-stack, mobile, data, and ML disciplines.

- Clinical Collaboration: Translate clinical research requirements into technical implementations alongside world-class researchers and clinicians.

- Stakeholder Leadership: Partner with the CEO and board on strategic technology decisions and represent the company at industry forums.

WHO YOU ARE

- 10 or more years of software engineering experience with 5 or more years in senior technical leadership (CTO, VP Engineering, or equivalent).

- Proven track record of building and scaling technology platforms from early stage to production.

- Deep expertise in software architecture, distributed systems, cloud platforms (AWS, GCP, or Azure), and mobile development (iOS and Android).

- Hands-on experience with machine learning frameworks and data engineering.

- Experience building healthcare or digital health products with working knowledge of PDPA, GDPR, and clinical data compliance.

- Familiarity with digital phenotyping, passive sensing, or wearable device integration is a strong advantage.

- Exceptional leadership and communication skills — able to translate complex technical concepts for clinical, investor, and board audiences.

- Entrepreneurial mindset: thrives in ambiguity, builds from zero, and drives outcomes in resource-constrained environments.

- Postgraduate degree in Computer Science, Software Engineering, or related field preferred.

THE PACKAGE

- Monthly Base Salary: $5,500

- Equity: $15,000/month

- Total Monthly Package: $20,000

- Visa sponsorship available for exceptional candidates

WHY THIS ROLE

- Architect the future of AI-driven mental health detection from the ground up, no legacy systems, no bureaucracy.

- Work alongside leading researchers, clinicians, and a mission-aligned executive team backed by Singapore's public health ecosystem.

- Direct impact: your platform determines how mental health risks are detected and treated at scale.

- Significant equity stake in a high-growth, mission-driven company.

- Professional development, health and wellness benefits included.

Hiring: Resident Technical Officers (RTO) – Multiple Openings

We are currently looking for experienced 

RTOs for exciting full-time opportunities.

Job Description & Requirements 

• Provide site supervision for assigned projects and execute as outlined by BCA regulations and report to project QP and Project Engineers. 

• Work closely with contractors regarding work schedules, progress, quality, site safety, and quality control. 

• Ensure that contractor activities align with drawings, specifications, approved methods, and schedules. 

• Liaise with relevant authorities and local communities regarding on-site activities. 

• Provide feedback and reports to the Consultant on project progress, highlighting safety, supervision, security, construction, maintenance, and improvement areas.