Total 11 Senior Executive solution architect job vacancies in Engineering category

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.

Overview

Microsoft Innovation Hub empowers customers to overcome their business challenges through innovative engagements that integrate multiple areas of expertise. We drive AI transformation by leveraging evolving needs and emerging business opportunities. As the future of technologists and enterprise technical sellers, we guide customers from envisioning solutions to implementation. We deliver the Microsoft value story through immersive experiences, strengthening customer trust through deep engagements in exceptional environments. 

As a Solution Engineer in the Microsoft Innovation Hub, you will merge business and technical requirements to craft comprehensive solutions, working seamlessly with various stakeholders. You will conduct discovery sessions to understand customer needs and provide strategic recommendations and best practices tailored to their specific needs. Implementing robust AI transformation solutions and optimizing the integration of various technologies and services will be key aspects of your role. Additionally, you will leverage consultancy skills to foster collaboration among technical resources and stakeholders, ensuring alignment and effective teamwork. This role is Microsoft onsite only.  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Delivering customer engagements: Prepare and deliver technical engagements including strategy sessions, envisioning workshops, architecture design sessions and rapid prototyping to demonstrate key capabilities, validate against identified risks and finalize technology choices. 

• AI Transformation Leadership: Be the trusted voice within the business and for customers on the latest AI platform and technology trends, guiding their transformation journeys. By prioritizing AI use cases through design thinking workshops, you will lead these journeys effectively. You will be a valued contributor to Microsoft’s strategy in your area, ensuring the Hub is proactively aligned with the right customers to drive real impact. 

• Strategic Vision and Planning: Own and execute a clear strategic vision for AI transformation initiatives on a set of targeted accounts, aligning with organizational goals and customer needs by collaborating and orchestrating cross-functional teams.   

• Solution Design and Architecture: Develop comprehensive solution architectures based on patterns and practices that are tied to customer requirements and ensure that solutions are scalable, secure and optimized for performance. By utilizing consultation skills, you will uncover and prioritize opportunities, ensuing solutions are addressing real customer needs. 

• Cross Platform Collaboration: Adopt a holistic approach to integrate capabilities across the entire cloud platform, identifying synergies and optimizing cross-platform integration. You will work with your peers and stakeholders to make the Innovation Hub the home of Cross Solution AI Transformation. 

• Technical Depth: Maintain and grow expertise in creating business value on top of the business applications including sales, services and marketing and Microsoft 365 platform, including deep knowledge of Microsoft Copilot to support AI transformation initiatives. Stay updated with the market trends and collaborate with the technical communities. 

• Technical Sales and Sales Leadership: Act as a strategic change agent within the business to shape Microsoft's programs and engineering offerings. Lead the creation of scalable, field-relevant assets through internal communities. Champion Hub engagement success by connecting technical capabilities to sales opportunities and serving as a trusted voice with sales leaders and account teams. 

Qualifications

Required (RQs) 

• 8+ years of technical pre-sales or technical consulting experience 
• OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years of experience 
• OR equivalent experience 

 Preferred Qualifications (PQs)  

• Enterprise Architect Experience: Proven experience as an Enterprise Architect, designing and implementing large-scale, complex solutions that align with business goals and technical requirements. Ability to integrate various technologies and platforms to create cohesive and scalable architectures. 

• Consultative Selling: Proven experience in a consultancy role, providing expert guidance and strategic recommendations to customers. Ability to navigate complex technical landscapes and deliver tailored solutions that meet specific customer needs. 

• Strategic & Structured Facilitator: Validated customer experience in requirements capture; prioritization; capturing evidence and impact to quantify business value; issue, risk and constraint identification with a focus on strategic goals and outcomes. 

• AI Solution Design Experience: Expertise in designing architectures, building, and deploying AI solutions with Microsoft 365, primarly Microsoft Copilot. Experience with cloud and hybrid infrastructures, adjacent technologies, architecture designs, migrations, and industry standards. Understanding of AI related Azure services. 

• Certification in relevant technologies or disciplines 

• Azure Certifications:  

1. AI-102 Azure AI Engineer Associate or ​ 

2. PL-600 Power Platform Solution Architect Expert  

3. or other domain-relevant certifications from different vendors 

• Design Thinking: Proven experience of delivering design thinking; ‘ideation’; or similar context analysis / problem framing.   

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

• 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.)

As a Senior Solution Engineer, you will be a strategic technical leader for Snowflake’s existing enterprise customers in Singapore, with a primary focus on Financial Services (FSI) and Telecommunications (Telco) sectors.

You will partner closely with Account Executives to drive adoption, workload expansion, and multi‑line-of-business growth across your accounts. You will act as a trusted advisor to senior technical and business stakeholders, guiding them on how to use Snowflake as the core of their data, analytics, and AI strategy.

This is a field-facing, customer-first role that combines deep technical skills, strong industry context (FSI/Telco), and the ability to design and communicate high‑impact architectures.

KEY RESPONSIBILITIES:

Drive Adoption in Existing Accounts

• Own the technical expansion strategy for a portfolio of Snowflake customers in Singapore.

• Identify and map customer business objectives to  workloads, use cases, and lines of business that will benefit from Snowflake AI Data Cloud.  

Solution Design, Demos & POCs

• Design and deliver compelling demos and technical narratives tailored to each customer’s architecture and use cases.

• Lead and execute POCs/Pilots that prove value and de‑risk platform decisions, including success criteria definition and joint execution plans.

• Translate complex technical capabilities into clear business value and ROI for senior non-technical audiences.

Cross-Functional & Partner Collaboration

• Collaborate closely with Sales, Customer Success, Professional Services, Product, and Partners to ensure successful customer outcomes.

• Work with SI, ISV, and cloud partners to incorporate their solutions into customer architectures where relevant.

• Capture and relay field feedback to Product and Engineering to influence roadmap priorities, especially for FSI/Telco needs.

Thought Leadership & Evangelism

• Represent Snowflake at customer workshops, executive briefings, industry events, and community meetups.

• Create and share technical content (presentations, reference architectures, playbooks, demos) that supports expansion in FSI and Telco.

MINIMUM REQUIREMENTS:

• Extensive 10 years working experience in customer facing solution engineering role

• Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science , Gen AIand Data Apps

• Excellent ability to present to both technical and executive audiences, whether through impromptu whiteboarding or structured presentations and demos.

• Hands-on expertise with SQL & Spark

STRONGLY DESIRED:

• Experience with large-scale cloud data and ai platforms

• Programming/scripting experience (e.g., Python, Java, Spark)

• Experience selling or supporting enterprise data/analytics platforms

• Strong stakeholder management and value-based selling skills

• Degree in Computer Science, Engineering, Mathematics, or related field skills 

ADDED BONUS FOR:

• Hands-on experience with Lakehouse architectures

• Exposure to Data Science / AI / ML / Generative AI workloads

• Familiarity with BI tools (e.g., Tableau, Power BI)

• Cloud platform experience: AWS, Azure, or GCP

• Relevant services (e.g., S3, Glue, SageMaker, Azure Data Factory, etc.)

• Experience with OLAP data modeling and enterprise data architecture

• Background in Financial Services (either as a practitioner or vendor)

• Experience selling enterprise SaaS solutions

As a Senior Solution Engineer at Snowflake, you will partner closely with Sales, Product, Engineering, and Marketing to drive customer success across a wide range of industries.

You will act as a trusted technical advisor, translating complex business challenges into scalable, secure, and high‑performing data platform solutions. This role requires a blend of deep technical expertise, strong commercial acumen, and excellent customer engagement skills.

You will lead technical discovery, architect solutions, deliver compelling demonstrations, and guide customers through proof‑of‑concepts and production adoption. You are equally comfortable engaging with technical teams and senior business stakeholders, and you thrive in a fast‑paced, collaborative environment.

Responsibilities

• Present Snowflake technology, architecture, and vision to both executive and technical stakeholders at prospective and existing customers.

• Lead technical discovery sessions to understand customer requirements, current architecture, and success criteria, and translate them into solution designs and implementation approaches.

• Design scalable, secure, and cost‑efficient architectures that address customer use cases across data ingestion, storage, transformation, analytics, AI/ML, and data applications.

• Build and deliver tailored demos, prototypes, and proof‑of‑concepts that showcase differentiated value and drive technical validation.

• Collaborate with Account Executives on account strategy, value messaging, and technical win plans to progress opportunities to successful closure.

• Partner with Product and Engineering to provide field feedback on customer requirements, product gaps, and emerging use cases, helping to influence the product roadmap.

• Develop and maintain a deep understanding of the competitive landscape and how to position our solutions effectively against alternative technologies and approaches.

• Act as a trusted advisor to customer technical teams, building strong relationships and providing guidance on best practices, governance, security, and operationalization.

• Support customer onboarding and initial implementation, ensuring a smooth handover to customer success and services teams.

Minimum Requirements

• Extensive experience in a customer‑facing solution engineering / sales engineering / pre‑sales or equivalent technical consulting role.

• Strong hands‑on competency with modern data platforms and architectures, including:

• Data warehouse / data lake / lakehouse concepts

• Data ingestion, ETL/ELT, and data integration patterns

• Analytics, BI, and/or data applications

• Solid proficiency in SQL and at least one general‑purpose or data‑processing language (e.g. Python, Java, Scala, or Spark).

• Experience designing and/or operating solutions on at least one major cloud platform (e.g. AWS, Azure, or GCP).

• Strong stakeholder management, communication, and storytelling skills, with the ability to clearly articulate value and differentiation.

• Track record of collaboration with sales teams to drive opportunities from qualification to close.

Strongly Desired

• Hands‑on experience with large‑scale data platforms (e.g. traditional data warehouses, MPP databases, Hadoop‑based systems, or cloud‑native data platforms).

• Experience working with data pipelines and orchestration tools (e.g. Airflow, dbt, cloud‑native services, or similar).

• Exposure to analytics / BI tools (e.g. Tableau, Power BI, Looker, or equivalent).

• Familiarity with data modeling concepts (e.g. dimensional/OLAP modeling, data vault, or similar).

• Experience with enterprise SaaS or platform‑as‑a‑service solutions, particularly in data, analytics, or AI.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.

Added Bonus

• Experience with lakehouse architectures and modern data stack components.

• Exposure to Data Science / AI / ML / Generative AI workloads and associated tooling.

• Familiarity with governance, security, and compliance considerations for data platforms (e.g. access control, data protection, audit, and monitoring).

• Contributions to technical communities (e.g. meetups, conferences, open‑source projects, blogs, or public talks).

Zenith Infotech (S) Pte Ltd. was started in 1997, primarily with the vision of offering state-of-the-art IT Professionals and solutions to various organizations and thereby helping them increase their productivity and competitiveness. From deployment of one person to formation of whole IT teams, Zenith Infotech has helped clients with their staff augmentation needs. Zenith offers opportunity to be engaged in long term projects with large IT savvy companies, Consulting organizations, System Integrators, Government, and MNCs.

EA Licence No: 20S0237

Job:

• Support the Project Manager to deliver digital medical solutions for such as the electronic medical records system for military functions and lightweight backup system.

Role:

• Work closely as part of the development team to validate proposed technical solutions for software development.

• Collaborate with cross-functional teams and technical teams to ensure software quality by performing and assisting activities in Software Quality Assurance and Testing Framework.

• Contribute to project planning.

• Collaborate with stakeholders to identify and solve complex problems.

Requirements:

• Degree in IT, Computer Science, Computer Engineering or its equivalent.

• At least 5 years of experience in software development and support.

• Strong knowledge of software development life cycle (preferably completed 2 software development life cycle of projects with integration to other systems and/ or use of AI augmentation tool for software development).

• Experience in Agile Methodologies and implementation.

• Good foundational knowledge of information technologies in the following areas: Database Technologies, Web Application Technologies, Integration Technologies, Cybersecurity.

• Good planning, coordination and communication skills.

• Excellent problem solving, and independent responsible worker.

To apply:

Please send your latest CV in MS Word format to jennifer@zenithinfotech.com.sg

Appreciate the interest of all applicants; however only shortlisted candidates will be notified.

Company Description

At Qualtrics, we create software that the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform. We are the creators and stewards of the Experience Management category serving over 18,000 clients globally. Building a category takes grit, determination, and an appreciation for the unconventional—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. 

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set ambitious goals and move fast to achieve them. Strategic risks are encouraged, and complex problems are solved by collaborating and iterating until the best solution comes to light. You won’t have to look to find growth opportunities— they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that’s work worth doing.

Position Description

As a member of the Solution Engineering team you will have a major impact in leading and influencing the sales cycle and by delivering thought leadership to companies to transform their Experience Management programs.

Qualtrics is looking for an experienced team member who works alongside their colleagues, participates in building our team culture and supports their aligned sales team to create solutions for prospects and customers.

To accomplish this, the Senior Solution Engineer must have a strong desire to set the vision translating business objectives into enticing and actionable recommendations. The Solution Engineer will act as a trusted advisor to our customers while aiding the customer’s transformational journey.

How You'll Find Success

• Ability to support and heavily influence sales pursuits within enterprise accounts across South East Asia

• Understanding the true needs of customers and mapping out the capabilities of Qualtrics and how we solve for their challenges

• Demonstrating the value of Qualtrics’ products and differentiating them from other market offerings/competition 

• Being the technical point of reference with knowledge of Qualtrics’ products, and understanding how the products work behind the scenes

• Shortening the sales cycles through proactive and valuable interactions with customers

• Being a great communicator, with very strong presentation skills and empathy for customers and prospects

• Managing with autonomy and effectively prioritizing, knowing where to invest time intelligently

How You'll Grow

• You’ll become a domain expert in Experience Management

• Exposure to and having the opportunity to broaden your skill set by operating in different markets across South East Asia

• Structured promotion process

• Career action planning with your manager

• Qmobility (global internal transfers)

Key Responsibilities

• Provide exemplary pre-sales technical expertise through technical and product presentations, demonstrations, pilot implementations, and ongoing sales consultation

• Drive the adoption of Qualtrics solutions within strategic accounts, expanding usage across departments within the enterprise. Translate product/technical features into value drivers.

• Develop and maintain Technical  materials, and deliver enablement to improve product knowledge and demonstration abilities to enterprise account executives.

• Build working knowledge of competing products and how to technically sell against them

• Work collaboratively with Product Management, Marketing and Engineering during the development, launch and continuing refinement of existing and new Qualtrics products.

• Respond to initial product requests and frame product issues for discussion and resolution with Product and Engineering teams

• Communicate effectively with other engineers and other key personnel. Describe problems succinctly to enable issue management

• Become an authority and thought leader in Experience Management and other Qualtrics offerings

• Develop/maintain technical and business knowledge of industry directions and trends

Minimum Qualifications

• At least 4+ years of prior Sales/Systems Engineering, Pre-Sales or Solution Architect experience with software in a SaaS/Cloud environment, selling to C/VP level buyers

• Experience working collaboratively with product management, product marketing, partners, and professional services

• Ability to explain and resolve common technical aspects of SaaS software, including security, protocols, APIs, SLAs, email/communication specifications, etc.

• Ability to see and present 'the big picture', architect solutions to solve customer problems, and business challenges

• Territory management skills, including pipeline building and working with Sales counterpart to guide execution excellence

• You are prepared to learn new technologies and are able to pivot to other system related tasks if and when needed. We wear lots of hats here at Qualtrics!

• Bachelor's degree

• Full professional proficiency in English both verbal and written

• Travel across South East Asia, as necessary

Preferred Qualifications

• Previous Sales/Solution Engineering experience

• Experience in HTML, CSS, JavaScript, SQL a plus

• Previous experience in survey/data collection or market research software and systems, including pre or post-Sales support

Our Team’s Favorite Perks and Benefits

• Work life integration is deeply important to us - we have frequent office events, team outings, and happy hours

• Qualtrics Experience Program - $1800 USD annually for an experience of your choosing (eligible after one year)

• Wellness Reimbursement Program - $1200 USD annually ($300 USD/quarter) for wellness related activities

• We take pride in our office design aiming at cultivating creativity from our rooftop views to an open and collaborative work space

• On top of standard benefits packages (medical, dental, vision, life insurance, etc) we provide snacks, drinks, and free lunch daily in our office

• We believe in sharing Qualtrics success which is part of the compensation for all employees

The Qualtrics Hybrid Work Model

Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Responsibilities:

·       Solution pre-sales: Provide technical design and solution consultancy to customers. Prepare quotations, Bill of Materials (BOM), and technical proposals based on tender or customer requirements. Deliver technical presentations to customers and partners.

·       Project management: Lead and collaborate with cross-functional teams (account/channel/service managers) to identify, develop, and close business opportunities.

·       Customer Relationship Management: Manage ongoing pre-sales processes, build strong relationships with customer technical teams, and proactively address customer needs with solution-oriented approaches.

·       Partner development: Collaborate with and enable partners to expand enterprise market presence.

·       Solution Design & Presentation: Act as a key technical speaker and solution designer, engaging with customer CTOs and technical stakeholders to drive new opportunities.

·       To collaborate and communicate directly with Chinese speaking officers, stakeholders, counterparts, and customers in China HQ team
Requirements:

·       Bachelor’s Degree in Engineering (Computer, Telecommunications, Electrical/Electronic) ora related field.

·       At least 8 years of relevant experience in ICT and data center networking.

·       Proven experience working with enterprise customers; exposure to multi-country or regional projects is an advantage.

·       Strong technical expertise in Datacom and network solutions (e.g., enterprise routers, switches, firewalls).

·       Datacom background with HCSE for Data Center Network or an equivalent certification is required.

·       Experience in at least one industry vertical (e.g., financial services) is required.

·       Strong communication and stakeholder management skills, with the ability to articulate technical solutions and influence customer decisions.

·       Proficiency in Mandarin is essential to ensure effective communication with the Chinese-speaking stakeholders, including head office, business counterparts, and customers based in China

Interested candidate please click "APPLY" to begin your job search journey.

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

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PERSOL Singapore Pte Ltd

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

•Registration ID: Heah Sian Wei R23117518

As a Senior Solution Engineer at Snowflake, you will partner closely with Sales, Product, Engineering, and Marketing to drive customer success across the Financial Services industry. You will act as a trusted technical advisor, translating complex business challenges into scalable, secure, and high-performing data platform solutions on Snowflake.

This role requires a blend of deep technical expertise, industry knowledge, and strong customer engagement skills. You will lead technical discovery, architect solutions, deliver compelling demonstrations, and guide customers through proof-of-concepts and production adoption.

A strong understanding of the Singapore regulatory landscape (e.g., MAS guidelines, data residency, cloud security requirements) is essential.

RESPONSIBILITIES:

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers

• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation

• Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them

• Collaborate with Product, Engineering, and Marketing to provide FSI-specific feedback, influence roadmap, and create reusable assets (reference architectures, demo patterns, best practices)

• Be an advocate and develop mutual trust with the technical audience on the customer side

MINIMUM REQUIREMENTS:

• Extensive working experience in customer facing solution engineering role

• Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science , Gen AIand Data Apps

• Excellent ability to present to both technical and executive audiences, whether through impromptu whiteboarding or structured presentations and demos.

• Hands-on expertise with SQL & Spark

STRONGLY DESIRED:

• Experience with large-scale data platforms (e.g., Teradata, Netezza, Exadata, Greenplum, Hadoop)

• Programming/scripting experience (e.g., Python, Java, Spark)

• Experience selling or supporting enterprise data/analytics platforms

• Strong stakeholder management and value-based selling skills

• Degree in Computer Science, Engineering, Mathematics, or related field skills 

• Identifying key stakeholders, winning value propositions, and compelling events

ADDED BONUS FOR:

• Hands-on experience with Lakehouse architectures

• Exposure to Data Science / AI / ML / Generative AI workloads

• Familiarity with BI tools (e.g., Tableau, Power BI)

• Cloud platform experience: AWS, Azure, or GCP

• Relevant services (e.g., S3, Glue, SageMaker, Azure Data Factory, etc.)

• Experience with OLAP data modeling and enterprise data architecture

• Background in Financial Services (either as a practitioner or vendor)

• Experience selling enterprise SaaS solutions