Total 8 Engineering job vacancies

About the company

The client of ours is a globally recognized boats manufacturer, known for innovation, durability, and performance. As part of their strategic growth, they are establishing the Professional Rescue & Tactical Division, dedicated to serving government and public safety sectors including law enforcement, fire services, and rescue organizations.

They are now looking for a Naval Architect to be based in Singapore. This is a unique opportunity to play a foundational role in building the presence in Singapore and shaping a new division focused on mission-critical vessels. You will be involved in the design, engineering, and development of professional-grade vessels, supporting both new builds and modifications of existing platforms. The role requires close collaboration with internal stakeholders and external design partners to deliver high-performance, compliant, and mission-ready boats.

Role Overview

You will be involved in the design, engineering, and development of professional-grade vessels, supporting both new builds and modifications of existing platforms. The role requires close collaboration with internal stakeholders and external design partners to deliver high-performance, compliant, and mission-ready boats.

Key Responsibilities

Vessel Design & Development

·       Contribute to the design and development of new professional vessels for government and rescue applications

·       Adapt and customize existing boat platforms to meet operational and mission-specific requirements

·       Collaborate with external naval architects, design agencies, and engineering partners

·       Support the integration of specialized equipment for law enforcement, firefighting, and rescue missions

Engineering & Analysis

·       Conduct structural assessments and scantling calculations using tools such as HullScant or similar

·       Perform Finite Element Analysis (FEA) to validate structural integrity

·       Utilize hydrodynamic and performance prediction software

·       Ensure compliance with relevant marine standards, including ISO 12215 and ISO 12217

3D Modeling & Documentation

·       Create and maintain detailed 3D CAD models of vessels and components

·       Produce engineering drawings and technical documentation for manufacturing and certification

·       Assist in prototyping, testing, and validation processes

Cross-Functional Collaboration

·       Participate in technical discussions with external partners and certification authorities

Requirements

·       Degree in Naval Architecture, Marine Engineering, Mechanical Engineering, or a related discipline

·       Hands-on experience performing Finite Element Analysis (FEA)

·       Proficiency in 3D CAD software

·       Experience with naval architecture and analysis tools

·       Strong knowledge of marine design standards including ISO 12215 and ISO 12217

·       Experience working on professional, commercial, or mission-specific vessels is advantageous

·       Ability to work both independently and collaboratively in multidisciplinary teams

Why Join Us

·       Work on impactful vessels supporting public safety and emergency response

·       Collaborate with international experts and design partners

·       Engage in technically meaningful engineering projects

Morgan McKinley Pte Ltd

Kailey Lee

EA Licence No: 11C5502

EA Registration No: R26161550

About fileAI 

fileAI is the leading AI-native workflow automation platform and the world's only horizontal file processing agent, designed to automate complex, unstructured data workflows at scale.

About the role 

We are looking for an Engineering Architect / Lead who will own our product and platform architecture end‑to‑end, set engineering standards, and partner closely with product to drive File AI’s technical roadmap.

Role Overview

You will be the technical backbone of File AI’s product development:

• Own and evolve the overall system and product architecture across services, data, and ML components.

• Provide hands-on technical leadership to multiple engineering pods/squads.

• Raise the bar on engineering excellence: reliability, performance, security, and developer productivity.

• Work closely with Product, Design, and GTM to translate business goals into robust, scalable solutions.

This is a highly impactful role for someone who wants to build and lead, not just advise.

Key Responsibilities

Architecture & Technical Direction

• Define and own the end‑to‑end architecture for File AI’s core products and platform (APIs, microservices, data pipelines, ML/AI services, storage, and integration layers).

• Create and maintain architecture roadmaps, ensuring the platform can scale in terms of users, data volume, and product complexity.

• Drive key technical decisions (build vs buy, service decomposition, tech stack choices, patterns and frameworks).

• Ensure architectural decisions align with business strategy, security, compliance, and cost efficiency.

Engineering Leadership

• Provide technical leadership and mentorship to engineers across multiple teams (backend, frontend, infra, ML).

• Set and enforce engineering best practices: code quality, reviews, testing, observability, incident response, and documentation.

• Lead design reviews and RFC processes, guiding teams toward high‑quality, maintainable solutions.

• Partner with Engineering Management to shape team structures, ownership boundaries, and interfaces.

Product & Delivery

• Collaborate with Product to shape technical requirements, estimate complexity, and de‑risk ambitious initiatives.

• Lead early‑stage technical discovery and prototyping for new product bets, especially around AI/ML and new data experiences.

• Ensure technical feasibility, scalability, and performance for all major product initiatives.

• Balance long‑term architectural health with short‑term delivery needs; communicate trade‑offs clearly to stakeholders.

Platform, Reliability & Security

• Own non‑functional requirements: reliability, scalability, performance, security, privacy, and compliance.

• Guide the evolution of core platform capabilities: authentication/authorization, data access patterns, file storage, eventing, observability, configuration, and internal tooling.

• Work with DevOps/SRE to ensure robust CI/CD, monitoring, alerting, and operational excellence.

• Drive security‑by‑design practices and coordinate with external auditors or partners as needed.

Qualifications

Must‑Have

• 8+ years of professional software engineering experience, with significant time in architect / principal / lead roles.

• Proven experience designing and evolving distributed systems or cloud‑native SaaS platforms (preferably B2B).

• Strong hands‑on skills in at least one modern backend stack (e.g. TypeScript/Node.js, Go, Java, Python) and experience with modern front‑end frameworks (e.g. React).

• Solid experience with cloud infrastructure (AWS, GCP, or Azure), containers (Docker, Kubernetes), and modern DevOps practices.

• Demonstrated ability to own complex systems, drive large cross‑team initiatives, and make clear architectural trade‑offs.

• Excellent communication and collaboration skills: able to align engineers, product, and leadership around technical decisions.

Nice‑to‑Have

• Experience in AI/ML products, particularly around document/file understanding, vector search, LLMs, or data pipelines.

• Background with event‑driven architectures, microservices, and messaging systems.

• Exposure to security, compliance, and data privacy concerns in multi‑tenant SaaS.

• Experience in early‑stage or high‑growth startups, where ambiguity and rapid change are the norm.

• Prior people‑leadership (tech lead, team lead, or architect supporting multiple teams).

How We Work

• Product‑centric: We start from user impact and work backwards to systems and code.

• Pragmatic but principled: We value clean architecture and good abstractions, but we ship.

• Collaborative: Engineering, Product, and Design work as one team.

• High ownership: You will have the autonomy and responsibility to shape critical parts of the platform.

Perks & Culture

• Competitive salary and performance-based incentives.

• Health insurance, lunch perks, uncapped leave.

• Dynamic and collaborative work environment.

• Grow & learn with a fast-growing organisation.

Position Overview:

In this role, you will be the cornerstone of our hardware team, defining the micro-architecture and executingthe RTL implementation for our next-gen AI engines. You will tackle the industry's toughest challenges: balancing massive throughput with ultra-low latency. You will lead the design of complex datapaths, integrate RISC-Vsubsystems, and push the limits of PPA to deliver world-class silicon.

Responsibilities:

• Architectural Leadership: Translate high-level AI algorithms into robust micro-architecture specifications for high-performance compute engines.
• Core Design: Own the RTL implementation of critical modules, focusing on low-latency and high-throughput datapath optimization.
• Advanced Compute Units: Design and optimize high-efficiency ALU and specialized arithmetic units tailored for AI workloads.
• PPA Mastery: Drive the design through synthesis and timing closure, ensuring the silicon meets aggressive power and area targets.
• Technical Mentorship: Work closely with architecture and software teams to define the hardware-software interface and mentor junior engineers.

Qualifications / Requirements:

• Education: BS/MS/PhD in EE, CS, or related field with 10+ years of deep experience in ASIC Design and successful tape-outs.
• #Mastery of SystemVerilog/Verilog and a proven track record of designing complex, high-frequency digital logic. 
• Extensive experience in Datapath optimization, including pipeline balancing and advanced handshaking protocols.
• Expert knowledge of high-performance bus protocols and interconnect architectures. Proficiency in scripting (Python, Perl, or C/C++) for automation and modeling.

Preferred Skills:

• GPU/ALU Pedigree: Prior experience in designing GPU shaders, execution units (EUs), or high-performance ALUs. we value your expertise in complex arithmetic pipelines.
• RISC-V Expertise: Deep familiarity with RISC-V cores, custom instruction extensions, or vector processors.
• Leadership DNA: Proven experience as a Technical Lead, with the ability to build and inspire high-performing engineering teams.

Job Description:

Software Engineering & Craftsmanship:

• Embed Clean Code principles (e.g. SOLID, DRY, YAGNI) as non-negotiable standards across all teams.
• Own the engineering quality framework: code review standards, static analysis gates, test coverage requirements, and performance benchmarks.
• Lead by example — contribute to critical codebases, perform deep technical code reviews, and pair-program with engineers to model best practice.
• Drive Test-Driven Development (TDD) and Behaviour-Driven Development (BDD) adoption to improve correctness and documentation.
• Define and enforce Definition of Done (DoD) criteria that include architectural, security, and performance quality gates.

Software Architecture:

• Design end-to-end architectures for capital markets platforms (pricing engines, order management, risk, post-trade) prioritising low latency, fault-tolerance, and auditability.
• Define and govern technology standards, patterns, and reference architectures across the division.
• Drive architectural reviews and Architectural Decision Records (ADRs), ensuring decisions are documented, peer-reviewed, and communicated.
• Balance tactical delivery needs with long-term architectural health — managing trade-offs transparently.
• Champion event-driven, domain-driven, and cloud-native architectures where appropriate.

GenAI / Agentic AI for Software Engineering:

• Integrate GenAI/Agentic AI into engineering workflows to accelerate coding, testing, documentation, and troubleshooting.
• Build reusable GenAI, MCP components, prompt libraries, engineering agents, automated test generators and code refactoring assistants.
• Partner with enterprise AI teams to ensure governance, data safeguards, and safe model usage.
• Track and report measurable productivity, quality, and cycle-time improvements enabled by GenAI.

Chapter Leadership:

• Lead and grow the Engineering Chapter: a cross-filiere community of practice for software engineers across Capital Markets IT.
• Convene regular Chapter sessions , tech talks, architecture story boards, refactoring workshops, and book clubs to foster continuous learning.
• Define and maintain a shared engineering competency framework and career ladder for software engineers.
• Mentor senior and principal engineers; provide structured technical coaching aligned with individual growth plans.
• Collaborate with Tribe Leads and Product Owners to ensure engineering quality does not erode under delivery pressure.

Requirements:

Qualifications and Profile:

• Master or Bachelor’s degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies) faculties.

AI Proficiency:

• Demonstrated ability to effectively utilize AI-powered tools (e.g., GitHub Copilot) to enhance productivity and problem-solving capabilities.
• Understanding of AI/ML fundamentals including prompt engineering, model limitations, and best practices for human-AI collaboration.
• Experience in evaluating AI-generated outputs for accuracy, security, and alignment with business requirements.
• Ability to identify opportunities for AI integration and automation within existing workflows and processes.

Domain & Technical Background:

• 10+ years of software engineering experience, with at least 4 years in a principal, staff, or architect role.
• Core: Deep hands-on expertise in at least one primary language ecosystem.
• Java / Kotlin (Spring Boot, Project Loom, GraalVM).
• Python (asyncio, Cython, NumPy/Pandas for quant workflows).
• C++ (modern C++20, lock-free structures, FPGA/kernel bypass desirable).
• Proven background in Capital Markets IT: trading systems, risk engines, order routing, or post-trade processing.
• Experience designing distributed systems with strong consistency, exactly-once semantics, and sub-millisecond latency requirements.
• Hands-on experience with messaging infrastructure: Kafka, Solace, or similar low-latency brokers.
• Cloud architecture experience (AWS, Azure, or GCP) with an understanding of hybrid cloud patterns common in regulated financial environments.
• Practical experience applying GenAI & Agentic AI tools/frameworks in enterprise engineering workflows.

Craftsmanship & Engineering Excellence:

• Demonstrable commitment to Clean Code and software craftsmanship; able to articulate and teach these principles.
• Experience implementing and governing CI/CD pipelines with quality gates (SonarQube, Checkmarx, Veracode, or equivalent).
• Strong understanding of software testing strategies: unit, integration, contract, performance, and chaos engineering.
• Familiarity with Domain-Driven Design (DDD), Event Sourcing, and CQRS patterns in a financial domain context.

Leadership & Chapter / Community of Practice:

• Experience running or participating in a Chapter, Guild, or Centre of Excellence within an Agile/SAFe/Spotify model organisation.
• Demonstrable ability to define and operationalise engineering standards at scale — across multiple squads or delivery teams.
• Strong technical communication: able to translate complex architectural decisions for both engineering and business audiences.
• Track record of developing senior engineering talent through mentoring, structured feedback, and technical coaching.

Desirable Skills:

• Knowledge of real-time analytics and stream processing: Apache Flink, Spark Streaming, or kdb+/q.
• Contributions to open-source projects or published technical writing demonstrating thought leadership.
• Certifications: AWS Solutions Architect Professional, CKA, or equivalent.
• Familiarity with inner source models and developer experience (DX) tooling.
• Exposure to quantitative finance concepts: pricing models, Greeks, VaR, or portfolio risk, trading value chain is appreciated.
• Experience with FIX protocol, SWIFT, FpML, or other capital markets messaging standards.

Technical Governance & Strategy:

• Own the technology radar for Capital Markets IT: assess, trial, adopt or hold technologies in partnership with the global architecture and engineering teams.
• Lead the technical due diligence on vendor solutions, open-source frameworks, and cloud services.
• Track and present engineering health metrics (code quality, deployment frequency, MTTR, change failure rate) to leadership.
• Partner with Cloud, Security and infrastructure teams to embed shift-left practices into the SDLC.

• 10+ years of software engineering experience, with at least 4 years in a principal,staff, or architect role.

•  Deep hands-on expertise in at least one primary language ecosystem

• Java/Kotlin (Spring Boot, Project Loom, GraalVM)

• Python (asyncio, Cython, NumPy/Pandas for quant workflows)

• C++ (modern C++20, lock-free structures, FPGA/kernel bypass desirable)

• Proven background in Capital Markets IT: trading systems, risk engines, order routing,or post-trade processing.

• Experienced designing distributed systems with strong consistency, exactly-once semantics, and sub-millisecond latency requirements.

• Hands-on experience with messaging infrastructure: Kafka, Solace, or similar low-latency brokers.

• Cloud architecture experience (AWS, Azure, or GCP) with an understanding of hybrid cloud patterns common in regulated financial environments.

• Practical experience applying GenAI & Agentic AI tools/frameworks in enterprise engineering workflows.

Position

We are looking for an exceptional Software Architect and Engineering Chapter Lead to shape the technical culture and engineering excellence of our Capital Markets IT division.

This role ensures high standards of software craftsmanship,focusing on building systems that are clean, resilient, observable, and sustainable.

Beyond architecture, you will lead an Engineering Chapter, fostering a culture of excellence through mentorship, standards, and continuous improvement.

Main Responsibilities

Software Engineering & Craftsmanship

• Enforce Clean Code principles (SOLID, DRY, YAGNI)
• Own engineering quality frameworks: code reviews, testing, performance benchmarks
• Contribute to critical codebases and conduct deep technical reviews
• Drive TDD and BDD adoption
• Define and enforce Definition of Done (DoD) including quality and security

Software Architecture

• Design architectures for capital markets platforms (pricing, order management, risk, post-trade)
• Define technology standards and reference architectures
• Lead architecture reviews and decision governance (ADRs)
• Balance short-term delivery vs long-term system health
• Promote event-driven, domain-driven, and cloud-native architectures

GenAI / Agentic AI for Software Engineering

• Integrate AI tools into engineering workflows (coding, testing, documentation)
• Develop reusable AI components, agents, and automation tools
• Ensure governance and safe AI usage
• Measure productivity and quality improvements from AI adoption

Chapter Leadership

• Lead a cross-functional engineering community of practice
• Organize technical sessions, workshops, and knowledge-sharing initiatives
• Define engineering competency frameworks and career paths
• Mentor senior engineers and support talent development
• Ensure engineering quality is maintained alongside delivery

Technical Governance & Strategy

• Maintain a technology radar (evaluate, adopt, or reject technologies)
• Lead technical due diligence on tools and vendors
• Track engineering metrics (code quality, deployment frequency, MTTR, etc.)
• Collaborate with cloud, security, and infrastructure teams

Qualifications and Profile

Education

• Degree in Computer Science, IT, or related field

AI Proficiency

• Experience using AI tools to improve productivity
• Understanding of AI/ML fundamentals and prompt engineering
• Ability to validate AI-generated outputs
• Identify AI integration opportunities

Domain & Technical Background

• 10+ years in software engineering, including 4+ years in senior/architect roles
• Strong expertise in at least one ecosystem:
• Java / Kotlin
• Python
• C++
• Experience in capital markets systems (trading, risk, post-trade)
• Distributed systems design with low latency and strong consistency
• Messaging systems (Kafka, Solace, etc.)
• Cloud architecture (AWS, Azure, GCP)
• Experience applying AI in engineering workflows

Craftsmanship & Engineering Excellence

• Strong commitment to Clean Code principles
• CI/CD pipelines and quality tools experience
• Knowledge of testing strategies (unit, integration, performance, chaos)
• Familiarity with DDD, CQRS, Event Sourcing

Leadership & Community

• Experience in engineering communities (Chapter, Guild, CoE)
• Ability to scale engineering standards across teams
• Strong communication skills (technical + business)
• Proven mentoring and coaching experience

Desirable Skills

• Stream processing (Flink, Spark, etc.)
• Open-source contributions or technical publications
• Cloud or Kubernetes certifications
• Developer experience (DX) tooling
• Knowledge of quantitative finance concepts
• Familiarity with financial messaging standards (FIX, SWIFT, etc.)

Qualifications:

• 14 - 18 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expert in one or more areas.
• Hands on design & development of the REST API along with technical lead role on full development cycle for API including leading code/design reviews & architectural choices
• Hands on technical leadership of software engineers focused on API enablement technical architecture, design, development and delivery Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citi’s internal and external cloud platforms (AWS, PCF, Akamai)
• Strong experience in Java based REST API development with good technical skillset in Spring, SpringBoot, Caching Service as (Redis, Hazelcast )
• Event Driven Messaging services(KAFKA, Solace) Lead resources and serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward.
• Prior experience in industrializing APIs by enabling security, usage tracking, operational visibility/reporting, implementing QoS/SLAs, high availability etc. is required.
• Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology – including innovative approaches and new opportunities.
• Demonstrate knowledge on automating code quality, code performance, unit testing, and build processing in the CI/CD.

EA Number: 11C4879

Join a category defining technology company building AI systems that operate at real-world scale, not in theory. This role is for engineers and architects, who take ownership end to end, turning complex problems into production-grade systems that directly drive business outcomes.

Responsibilities

• Design and deploy high-performance AI agents used in mission-critical, production environments
• Take full ownership of the development lifecycle from problem definition through to deployment and continuous optimisation
• Partner directly with customers to understand complex challenges and implement scalable, practical solutions
• Work cross-functionally to influence product direction and improve core platform capabilities
• Build reusable systems and frameworks that accelerate future AI deployments

Requirements

• Proven experience building and scaling production systems in real world environments
• Strong problem-solving ability in fast-paced, ambiguous, and high-ownership settings
• Demonstrated ability to take initiative and deliver end to end outcomes with minimal oversight
• Comfortable working directly with stakeholders to solve meaningful business problems
• Clear and effective communication across both technical and non technical audiences
• Bachelor’s degree or equivalent practical experience

EA: 14S7084 |Registration No: R1981018