Backend Engineer Jobs in Singapore.
All active Backend Engineer roles based in Singapore.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Senior Forward Deployed Engineer, Singapore
Share this job
Primer exists to make the world a safer place. We do this by providing trusted decision-ready AI to the world's most critical organizations. Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high. Primer has offices in San Francisco, Pasadena, CA and Arlington, VA. For more information, please visit https://primer.ai/
As a Senior Forward Deployed Engineer (FDE) at Primer, you’ll grow your software engineering skills along with our AI and NLP technologies to help national security organizations solve some of their toughest challenges. As a technical team-member who understands customer needs and expectations, success in providing solutions will require problem solving ability, technical acumen, and the ability to see the big picture at a global level. Strong candidates will excel in both technical agility and stakeholder communication, realizing the broader impact at stake, with urgency and expertise to match.
Role Responsibilities - How You Will Make An Impact
- Engage with customers, partners, and prospects to understand their problems, scope technical requirements, prototype and propose effective solutions
- Work with cross-functional teams across Primer to satisfy the unique requirements of various national security customers and deploy our products in secure environments
- Partner with our Product Management and Engineering teams to identify and prioritize platform feature development based on customer feedback
- Dig into software source code to customize, integrate, and troubleshoot onsite customer platform deployments
- Provide subject matter expertise to advise our DevOps and Engineering teams on feature and deployment enhancements
- Optimizing applications for speed and scalability through performance analysis
- Maintaining high coding standards through the development of guidelines, active participation in code reviews, and fostering a culture of continuous improvement and knowledge sharing among your team
Relevant Skills & Experiences:
- Professional experience developing and deploying Python applications
- Hands-on experience with a major cloud services provider (AWS or Microsoft Azure)
- Linux, Docker and Kubernetes proficiency - you’ll need to know your way around a Linux shell in order to operate services, and then deploy them at scale
- Strong DevOps chops - you’ll need to be comfortable with automation tools to accelerate the deployment of infrastructure and software services in our customers’ environments
- Strong communication skills - you’ll be the technical representative of Primer to our customers
Bonus Points:
- Full-stack web and backend development skills
- Experience with natural language processing (NLP)
- Direct experience with the secure, privileged regions of AWS or Microsoft Azure
- Familiarity with identity management solutions for authentication and authorization
Final compensation will be determined based on experience and skills and may vary from the range listed above.
This position is open to candidates based in Singapore who are able to work from our Singapore office 2–3 days per week as part of a hybrid work model.
Primer works closely with the U.S. defense and intelligence establishment. Any offer of employment is conditioned on an applicant or employee being able to meet any applicable government contract requirements. The company may rescind any offer of employment to an applicant or terminate an employee if the applicant or employee is unable to perform the functions of the position in compliance with applicable government contracts or if an applicant or employee makes a false attestation of compliance.
What We Offer
We are a series D funded company with investors from Addition, USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others. We are intentional around building a diverse and inclusive team of subject matter experts to better advocate for the needs of our users.
We care a lot about our work and about the well being of our team. We encourage everyone to work at a sustainable pace and have a flexible vacation policy for team members to utilize, Wellness Days and 100% paid leave for parents of growing families.
We offer competitive compensation and comprehensive benefits. This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Headspace Care+, Gympass+ Membership via Wellhub, One Medical Membership, 401(k), remote work stipends, and monthly internet allowance.
Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
If you need assistance or accommodation due to a disability, you may contact us at info@primer.com.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to primer.ai
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.
You’re welcome to work remotely from Singapore.
Your responsibilities will include:
- Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
- Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models
- Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
- Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
- Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency
We expect you to have:
- 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
- Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
- Hands-on experience with:
- Prompt engineering and LLM pipeline development, including evaluation
- Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent
- Vector databases and RAG implementation patterns
- Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
- Strong Python programming skills
- Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences
It would be an added bonus if you have:
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)
- Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
- Work with multimodal AI models (e.g., vision-language, speech)
- Proficiency with DevOps tools (Docker, Kubernetes)
- Contributions to open-source ML/AI projects
Preferred technical stack:
- Programming Languages – Python
- ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks – FastAPI, Flask
- MLOps and DevOps tools – Kubernetes (K8s), Docker, Git
- Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Software Engineer I - Backend - Message Security Products
Share this job
What you will do
Abnormal AI is looking for a driven and growth-oriented backend software engineer to join the Email Productivity team. The team builds and supports Abnormal’s Email Productivity product, an important service that helps our customers manage email more efficiently. As a member of the team, you will contribute to developing new features, improving system reliability, and supporting the ongoing success of the product. You’ll have the opportunity to work on backend systems, learn best practices from experienced engineers, and help solve technical challenges related to high-volume email processing. We’re looking for candidates who are eager to learn, excited to work collaboratively, and interested in working on high-scale, high-impact products.
Must Haves
- BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field
- 1+ years of industry experience on backend development & distributed systems, designing & building software applications
- Experience working individually as well as in groups on a regular basis
- Experience working with distributed teams, proficient in asynchronous and written communication
- Experience building features & components from scratch and operating them, balancing feature development work with operational tasks
Nice to Haves
- Experience with our stack: Python, Go, AWS, K8s, Django, Spark, Prometheus
- 1+ years of experience programming in Golang
- Familiarity with AWS services and deployment practices.
- Experience leading a small team to build a feature or component from scratch
🚀 Ready to be part of AI transformation at Abnormal AI? Apply Now!
Once you apply, you’ll be invited to our AI-powered Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2-4 hours of work to be completed within one week - apply when you’re ready!
#LI-UC1
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Ready to apply?
Apply to Abnormal
Mobile Application Developer – Android & iOS
Important Information
Location: Singapore
12 months contract
Job Summary
We’re looking for a Mobile Application Developer to design, build, and support Android and iOS applications for our client engagements. You’ll work closely with product, backend, and data teams to ship features, maintain app health, and build analytics dashboards that drive business decisions.
Job Description
- Design, develop, test, and deploy native/hybrid Android and iOS mobile applications.
- Provide ongoing application maintenance, bug fixes, and performance enhancements.
- Assist in building and enhancing data analytics tools and dashboards for app usage insights.
- Collaborate with internal teams on requirement analysis, sprint planning, and release management
- Ensure app security, scalability, and compliance with platform guidelines and store policies.
- Support UAT, production releases, and post-go-live monitoring.
Required Skills and Experience
- Strong experience in Android and iOS development
- Exposure to HarmonyOS NEXT (preferred)
- Working knowledge of React (good to have)
- Familiarity with Mandarin language (preferred)
- Ability to work in a Singapore-based environment
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to Encora
Forward Deployment Engineer
Share this job
CSQ227R65
As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.
The impact you will have:
- Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
- Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.
- Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
- Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
What we look for:
- Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
- Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
- AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity.
- Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
- Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
- Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Forward Deployment Engineer
Share this job
CSQ227R65
As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.
The impact you will have:
- Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
- Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.
- Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
- Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
What we look for:
- Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
- Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
- AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity.
- Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
- Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
- Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Global Presales team
The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.
The Alliance Solutions Engineer Opportunity
Okta believes in Partners and together with our technology, will help take Identity mainstream and consolidate our position as a Leader in the market. Alliance Solutions Engineers are dedicated to growing Okta business through the Channel, working closely with Regional Alliance Managers, Sales Representatives, Marketing and Partner Enablement. As an Alliance Solutions Engineer at Okta, you will build strong, long standing relationships with key Partners, Global System Integrators, Distributors and Technology Vendors. You will become their trusted advisor for anything Identity and Access Management related and will help them understand how Okta can best fit in their Go-To-Market (GTM) Strategy, integrate with their current offerings, help evangelize partner solutions within the Okta field teams and lead our partners in building Okta practices that deliver exceptional customer outcomes.
What you’ll be doing
- Build and manage technical relationships with assigned Partners and team with the assigned Okta Partner Account Team
- Drive incremental revenue through increased Okta solution sales with the support of Strategic Partners and their GTM strategies.
- Develop domain expertise and thought leadership regarding the Partners’ current areas of focus as well as in new areas for expansion
- Gather, track, and translate partner feedback to help steer the Okta product roadmap
- Deliver technical training sessions for Partners (demoing Okta features, explaining best practices and competitive differentiators)
- Field technical questions, inquiries and assist with Request for Information from the Partners
- Establish and maintain technical expertise on current and developing Okta products and technology
- Provide oversight, guidance, and assistance during the Partners sales process to ensure mutual success
- Up to 25% travel in support of Partner, Okta and industry events
How you’ll be measured
- Direct and influenced revenue growth
- Partner developed and driven GTM Solution Offering driven into the market / their customer base
- Partner enablement and resource certification growth
What you’ll bring to the role
- 5+ years pre-sales engineering experience.
- Experience with implementing Okta Workforce or Customer Identity
- An understanding of IAM / IDaaS competitive landscape
- Strong passion for Partners and knowledge of Channel business models
- Strong presentation and communication skills at a technical level
- A passion to serve the partner as our customer and ensure their success within their customer bases.
- Experience with at least one standard network security protocol. (OAuth, OAuth2, SAML, LDAP, OIDC)
- Knowledge in one or more of the following areas: web (Javascript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
- Hands-on experience in cloud computing environments (AWS, GCP, Azure)
- Confident dispensing knowledge to a highly skilled and experienced audience.
LI-Onsite
LI-MT1
(P9991_3343385)
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Junior Quality Analyst
Share this job
SimplifyNext is a fast-growing consulting and technology firm founded by veterans from top-tier consulting companies, focused on AI, Automation, and Application Platforms. Our mission is to drive business transformation across industries by combining strategic insight with deep technical expertise.
We work with leading enterprises and public sector organisations across Singapore and the Asia Pacific region to design, build, and operate scalable digital and automation platforms — delivering impactful transformations for global and local organisations alike.
Built as an agile practice, we mentor and grow the next generation of consulting and technology experts. We invest heavily in structured training and enablement programmes that help our teams expand across Intelligent Automation, Test Automation, AI-powered workflows, and Agentic AI solutions.
Recognised as one of the fastest-growing companies in Singapore and Asia Pacific, SimplifyNext is positioned as one of the most credible and ambitious digital transformation teams in the region.
About the Role
At SimplifyNext, quality is not a phase – it is a discipline woven into every stage of how we deliver. As a Senior Quality Analyst, you will play a leadership role in shaping how quality is defined, engineered, and scaled across our engagements. You will work at the intersection of modern application development, AI-driven solutions, and enterprise automation, partnering with architects, engineers, and client stakeholders to ensure quality is built into the foundation – not tested at the end. This role goes beyond traditional QA. You will lead quality transformation for our clients, drive automation-first testing strategies, and explore how AI can redefine how quality is assured in complex, real-world systems.
Responsibilities
Quality Leadership & Strategy
- Define and lead end-to-end quality strategies for complex programmes, ensuring alignment with business outcomes, regulatory requirements, and modern architecture patterns.
- Act as a trusted advisor to clients and senior stakeholders, shaping how quality is approached across teams, platforms, and releases.
- Establish quality governance frameworks across multi-workstream programmes, including standards, metrics, and reporting structures.
Shift-Left & Engineering Excellence
- Champion a shift-left and quality engineering mindset, embedding testing into design, development, and deployment practices.
- Partner with architects and developers to design for testability, ensuring systems are observable, resilient, and scalable.
- Advocate and guide teams on practices such as TDD, BDD, contract testing, and CI/CD-driven quality gates.
Automation & AI-Driven Testing
- Lead the design and implementation of automation-first testing strategies across UI, API, data, and integration layers.
- Drive adoption of modern test automation frameworks such as Playwright, Cypress, and Selenium, and ensure they are scalable, maintainable, and integrated into delivery pipelines.
- Make informed decisions on tooling strategy (e.g. what to use for modern web apps vs legacy or cross-browser needs).
- Explore and implement AI-assisted testing approaches – including test generation, intelligent test selection, anomaly detection, and self-healing automation.
- Define approaches for testing AI/ML systems and agentic workflows, including handling non-deterministic behaviour, model drift, and data quality risks.
End-to-End Quality Assurance
- Own quality across the full technology stack – from frontend experiences to backend services, integrations, and cloud infrastructure.
- Lead exploratory testing and risk-based validation, especially in complex, automation-heavy, or AI-driven solutions.
- Ensure robustness across performance, security, reliability, and user experience dimensions.
Metrics, Insights & Continuous Improvement
- Define and track engineering and quality metrics (e.g. lead time, deployment frequency, change fail rate, MTTR).
- Use data to identify systemic issues, improve delivery predictability, and elevate team performance.
- Embed continuous feedback loops from production usage into test strategy and product improvements.
Coaching & Practice Building
- Mentor and guide junior QAs and engineers, raising the overall quality maturity of teams.
- Coach client teams to adopt shared ownership of quality, ensuring sustainability beyond project delivery.
- Contribute to building SimplifyNext’s Quality Engineering practice, including reusable assets, accelerators, and thought leadership.
What We Are Looking For
Technical Skills
- Strong experience in quality engineering within agile, product-centric environments, working closely with developers, BAs, and architects.
- Proven ability to define and implement automation strategies across complex systems (web, mobile, API, integrations).
- Hands-on experience with modern test frameworks and CI/CD integration.
- Solid understanding of cloud-native architectures, microservices, and distributed systems.
- Experience testing AI/ML or automation solutions, with awareness of challenges such as non-determinism, data dependency, and model evaluation.
- Familiarity with performance, security, and resilience testing approaches.
- Experience working in large-scale or public sector programmes is a plus.
Professional & Leadership Skills
- Demonstrated ability to lead quality across teams and influence without authority.
- Strong consulting mindset – able to engage clients, shape thinking, and communicate risks in business terms.
- Ability to operate at both strategic and hands-on levels, switching seamlessly as needed.
- Excellent stakeholder management skills, including senior leadership engagement.
- Passion for innovation in quality engineering, particularly through automation and AI.
- Committed to continuous learning and driving change in how quality is delivered.
What Success Looks Like in This Role
- Quality is embedded from day one, not introduced late in delivery
- Automation coverage is meaningful, reliable, and accelerates releases
- Teams adopt shared ownership of quality
- Clients see measurable improvements in delivery metrics and stability
- New approaches (AI-assisted testing, modern frameworks) are successfully piloted and scaled
At SimplifyNext, we’re committed to building a team of curious, driven, and forward-thinking individuals who care deeply about creating meaningful impact through technology. If you’re excited by the opportunity to grow, collaborate, and shape the future of digital transformation across the region, we’d be happy to hear from you.
Ready to apply?
Apply to SimplifyNext
About us
Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.
The Role
Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.
Who We're Looking For
What a day might look like
Ready to apply?
Apply to PhysicsX
Senior Java/Python/Node.js Full Stack Developer (+Javascript/Typescript)
Share this job
Due to the nature of the projects and specific client security clearance , this role requires the successful candidate to be a Singapore Citizen or Singapore PR.
Senior Software Developers collaborate with Business and Quality Analysts, Designers, Project Managers and more to design software solutions that will create meaningful change for our clients. They listen thoughtfully to understand the context of a business problem and write clean and iterative code to deliver a powerful end result whilst consistently advocating for better engineering practices. By balancing strong opinions with a willingness to find the right answer, Senior Software Developers bring integrity to technology, ensuring all voices are heard.
For a team to thrive, it needs collaboration and room for healthy, respectful debate. Senior Developers are the technologists who cultivate this environment while driving teams toward delivering on an aspirational tech vision and acting as mentors for more junior-level consultants. You will leverage deep technical knowledge to solve complex business problems and proactively assess your team’s health, code quality and nonfunctional requirements.
Job responsibilities
- You will learn and adopt best practices like writing clean and reusable code using TDD, pair programming and design patterns
- You will use and advocate for continuous delivery practices to deliver high-quality software as well as value to end customers as early as possible
- You will work in collaborative, value-driven teams to build innovative customer experiences for our clients
- You will create large-scale distributed systems out of microservices
- You will collaborate with a variety of teammates to build features, design concepts and interactive prototypes and ensure best practices and UX specifications are embedded along the way.
- You will apply the latest technology thinking from our Technology Radar to solve client problems
- You will efficiently utilize DevSecOps tools and practices to build and deploy software, advocating devops culture and shifting security left in development
- You will oversee or take part in the entire cycle of software consulting and delivery from ideation to deployment and everything in between
- You will act as a mentor for less-experienced peers through both your technical knowledge and leadership skills
Job qualifications
Technical Skills
- You have 6+ years of professional experience as a Full Stack Developer
- You are well-versed in both backend language (Java/Python/Node.js) and frontend language (Javascript/Typescript) and are comfortable with the latest Object-Oriented technology
- You have hands-on experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis) databases
- You can skillfully write high-quality, well-tested code and are comfortable with Object-Oriented programming
- You are comfortable with Agile methodologies, such as Extreme Programming (XP), Scrum and/or Kanban
- You have a good awareness of TDD, continuous integration, continuous delivery approaches, and version control systems like Git
- Bonus points if you have knowledge of cloud and infrastructure/Devops technology such as AWS/GCP/Azure, Docker, Kubernetes or Terraform
Professional Skills
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
- You’re resilient in ambiguous situations and can approach challenges from multiple perspectives
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Onsite Work Expectation
You may be expected to work out of our Thoughtworks office or at our client's office location for all five working days of the week, depending on business or clients’ needs.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
Ready to apply?
Apply to Thoughtworks
Senior Software Engineer - Identity & Authorization Platform
Share this job
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
The Platform Auth team’s goal is to support our ‘one customer identity’ vision by providing tools, processes, and expertise for our engineering teams to create a unified access management experience while simplifying and standardizing engineering patterns in the space. We are looking for engineers to join our growing team!
What you will be doing:
- Design and build the platform services that power authentication, authorization, and audit across ClickHouse Cloud. This includes a unified RBAC/ReBAC service, token issuance and session handling, and the SDKs that product teams embed to make authorization decision.
- Model permissions and access control primitives (resources, roles, relationships, policies) that work across ClickHouse, SQL Console, ClickPipes, and HyperDX. Ship the libraries and APIs that other engineers build against.
- Implement protocol-level support for SAML, SCIM, OIDC, OAuth2, and MFA/passwordless flows. Own the integrations that make enterprise SSO and provisioning work end to end.
- Build the audit and authorization-decision telemetry pipeline so every access decision is observable, queryable, and surfaceable to customers.
- Partner with product engineering teams to migrate bespoke per-product auth implementations onto the shared platform, and design APIs that make adoption straightforward.
- Carry the platform on-call rotation and own production reliability for systems on the critical path of every customer request.
What you bring along:
- Minimum 4+ years building production backend systems at scale. Comfort with at least one systems language (Go, Rust, C++) and one application language (TypeScript, Python).
- Hands-on experience designing and implementing an authentication or authorization service. Examples include building a token issuer, an OIDC or OAuth2 provider, a policy engine, a permissions model, or an FGA/ReBAC system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar.
- Working knowledge of SAML, SCIM, OIDC, and OAuth2 at the protocol level and are able to implement them.
- Experience designing APIs and SDKs that other engineers depend on, with strong opinions on what makes them adoptable.
- Experience operating distributed systems at scale, including caching strategies, consistency tradeoffs, and multi-region concerns.
- Familiarity with identity vendors (Auth0, WorkOS, AWS/GCP/Azure IAM) as building blocks you've extended or integrated into a larger platform.
- Strong production debugging instincts and a high bar for systems that are easy to develop against.
Bonus:
- You've built or contributed to a Zanzibar-style authorization system, or run an OpenFGA or SpiceDB deployment beyond the demo.
- You've designed a multi-tenant permission model that survived real customer requirements like custom roles, hierarchies, delegation, and ABAC attributes.
- You've shipped an SDK that product teams across an org actually adopted, and have opinions about why most internal SDKs fail.
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Ready to apply?
Apply to ClickHouse
Software Engineering Lead (MetaTech)
Share this job
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
The MetaTech team is the engine behind the evolution of WorldQuant's proprietary research platform — empowering Researchers and Portfolio Managers to create, deploy, and lead template trading strategies at scale. MetaTech owns both foundational infrastructure and the researcher-facing features that expand what is possible within the platform. The team responds rapidly to emerging user needs while driving long-term platform modernization, spanning simulation engine upgrades, orchestration services, caching infrastructure, and the enablement of entirely new classes of strategies.
As a Software Engineering Lead in MetaTech, you will be responsible for the technical direction of a platform that sits at the intersection of quantitative research and large-scale distributed systems. You will need deep fluency in both worlds: the ability to engage credibly with Researchers and PMs about their workflows and goals, and the technical depth to architect, deliver, and modernize the systems that power them. You will lead the team's roadmap across multiple workstreams — from expanding the range of supported strategy types to infrastructure modernization — and lead a team of engineers to implement it.
The Role
- Drive the MetaTech technical roadmap, balancing researcher-facing feature delivery with foundational infrastructure investment
- Lead architectural design and hands-on development across the platform, including simulation orchestration, caching, monitoring, and strategy lifecycle management
- Engage directly with Researchers and Portfolio Managers to understand their needs and translate them into well-scoped technical solutions
- Drive infrastructure modernization efforts, including simulation engine migrations, distributed caching, and platform observability
- Partner with cross-functional stakeholders across Research, Platform, and Operations to ensure reliable, scalable delivery
- Identify opportunities to integrate agentic workflows into existing platform systems, enabling automation of complex, multi-step research and operational processes
- Manage and mentor a team of engineers, fostering technical excellence and accountability
What You'll Bring
- Bachelor's degree in Computer Science, a related field, or equivalent job experience
- 6+ years of hands-on industry experience building scalable, high-reliability backend systems
- Deep familiarity with the Python ecosystem, particularly for data-intensive and systems-level work
- Strong systems engineering instincts: distributed computing, service orchestration, and large-scale data pipelines
- Working knowledge of quantitative investment and research concepts, with an ability to engage fluently with quant researchers and PMs
- Experience with simulation systems, financial data infrastructure, or research platform engineering is a strong plus
- Working knowledge of a Unix/Linux environment
- Excellent interpersonal and communication skills — able to bridge technical and non-technical audiences
- Excellent debugging and problem-solving skills, with a bias toward root-cause analysis over workarounds
- Solid understanding of data structures, algorithms, and system design trade-offs
- Relational and non-relational database experience
- C++ 11 (or greater) experience is a plus, particularly for simulation or performance-critical contexts
- Previous people management experience is a plus
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Ready to apply?
Apply to WorldQuant
Tech Lead, Android Core Product - Singapore, Singapore
Share this job
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
- Shape the future of our Android team
- Own, maintain and improve reliability metrics for key features
- Participate in discussions across different teams - Product, Design, Engineering
- Review pull requests, and support other teammates
- Handle critical issues or cope with unexpected challenges
- Take ownership of feature releases and provide nightly builds for the QA team
An Ideal Candidate Should Have
- 5+ years of software engineering experience
- Familiarity with Android components
- Experience building or contributing to at least one Android app
- Product design intuition and user empathy
- Drive to push the boundaries of Android UI/UX
- Understanding of the importance of tests and how to approach writing tests
- Self-drive to improve the app and codebase above and beyond what's outlined in the spec
- Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
- Excellent communication skills
- User oriented problem solving approach
- Driven with continuous feedback from leaders
Bonus:
- Experience building, maintaining, or otherwise contributing to open source projects in Android
- Experience with iOS, Web or NodeJS
Technologies we use:
- Kotlin
- Kotlin Coroutines
- Kotlin Flow
- Jetpack Navigation
- Dagger 2
- Room
- Custom Views, Canvas & Paint
- Jetpack Compose
- JUnit
What We offer:
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Software Engineer, Data Infrastructure & Acquisition - Singapore, Singapore
Share this job
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Software Engineer, Windows/Desktop Applications - Singapore, Singapore
Share this job
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies
- Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++.
- Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability.
- Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities.
- Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform.
- Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases.
- Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems — and propose robust architectural or design solutions.
Required:
- 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
- Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
- Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
- Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
- Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
- Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
- Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
- A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.
Preferred / Bonus:
- Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
- Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
- Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
- Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
- Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
- Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.
What we offer
- A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
- A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
- Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
- Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
- A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Tech Lead, Web Core Product & Chrome Extension - Singapore, Singapore
Share this job
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Actively ship production code to the web products
- Work closely with your dedicated product team
- Participate in product discussions to shape the product roadmap
- Have the opportunity to work on new and exciting features that will impact millions of lives
An Ideal Candidate Should Have
- Experience. You've built and ship products that have scaled to thousands or millions of users
- Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs
- Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
- Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript
What We Offer
- A fast-growing environment where you can help shape the culture
- An entrepreneurial crew that supports risk, intuition, and hustle
- A hands-off approach so you can focus and do your best work
- The opportunity to make an impact in a transformative industry
- A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Software Engineer, Platform - Singapore, Singapore
Share this job
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Software Engineer, Core Experiences - Singapore, Singapore
Share this job
Mission
Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.
What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.
Overview
We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.
What You’ll Do
- Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
- Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
- Ship cloud functions, lightweight backend services, and jobs using Kotlin
An Ideal Candidate Should Have
- Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
- Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
- Preferred Tech Stack:
- Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform)
- Prior experience with GCP is a plus
What We Offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Backend Engineer, Gitlab Delivery: Runway (Platform Engineering)
Share this job
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Engineer on the Runway team, you'll lead the design, evolution, and operation of the Kubernetes-based platform and developer tooling that powers GitLab's engineering organization. You'll drive strategic infrastructure initiatives across platform architecture, automation, and developer experience. That includes operating production Kubernetes clusters across cloud environments, scaling our ArgoCD-based GitOps workflows, and setting infrastructure-as-code practices and standards across teams. You'll mentor engineers, influence architectural decisions, and drive platform improvements that enhance reliability, observability, and security controls like RBAC and secrets management. Your work will establish clear patterns that make it easier for application teams to adopt modern practices and ship with confidence.
Some examples of our projects:
- Evolve ArgoCD GitOps standards across environments (Application Sets, sync policies, and deployment guardrails)
- Build reusable Terraform modules and practices for safe, repeatable cloud infrastructure provisioning and drift detection
What you'll do
- Manage and evolve production-grade Kubernetes clusters across cloud environments, contributing to architectural decisions on upgrades, scaling, disaster recovery, and reliability improvements.
- Implement and maintain GitOps workflows using ArgoCD, including Application Sets, sync policies, and deployment standards, and share best practices with teams adopting these patterns.
- Build and maintain reusable Terraform modules that enable safe, repeatable cloud infrastructure provisioning, including state management and drift detection practices.
- Lead incident response, drive post-mortems to clear conclusions, and implement improvements to availability, performance, and resilience as part of on-call rotation.
- Partner with application teams to onboard services onto the platform, writing documentation, runbooks, and self-service tooling that improves developer productivity.
- Implement security controls such as RBAC, network policies, and secrets management that meet compliance requirements.
- Contribute to CI pipeline integrations as part of end-to-end delivery workflows.
What you'll bring
- Proficiency in Go for writing and maintaining production-grade services and automation tooling, with the ability to guide others on best practices and code quality. Python or Bash experience is a plus.
- Hands-on experience owning production Kubernetes clusters across one or more cloud environments (for example, Amazon EKS, Google GKE, or Azure AKS), including upgrades, scaling, disaster recovery, and reliability engineering.
- Experience designing and operating GitOps-based continuous delivery workflows (for example, ArgoCD or Flux) and infrastructure as code (Terraform or equivalent), including reusable modules and safe infrastructure provisioning practices.
- Solid understanding of networking fundamentals (DNS, load balancing, ingress) and the ability to reason through failure modes and design tradeoffs, not just apply familiar patterns.
- Ability to deliver well-structured, independently driven work, including clear documentation of decisions, tradeoffs, and future considerations, in support of a team that operates asynchronously across time zones.
- Strong written and verbal communication skills, including the ability to write system documentation, establish runbooks, and share knowledge in ways that help the broader team move faster and get unblocked quickly.
About the team
The Runway team builds and operates the Kubernetes-based platform and developer tooling that GitLab engineers use to ship changes safely and reliably. We own core platform capabilities like production cluster lifecycle management, GitOps-based delivery workflows (ArgoCD), infrastructure as code foundations (Terraform modules and standards), and the reliability and observability practices that keep the platform healthy. We collaborate asynchronously with application and security partners to onboard services, improve self-service workflows, and strengthen controls like RBAC, network policies, and secrets management. The team's focus is reducing friction for developers while improving consistency, security, and operational confidence as the platform scales. For more on how this team works, see the Team Handbook Page.
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
Ready to apply?
Apply to GitLab
CX, Staff Forward Deployed Engineer
Share this job
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Staff Forward Deployed Engineer at GitLab, you will work at the intersection of customer outcomes, product direction, and hands-on engineering. This role is focused on strategic accounts in the APJ region, where you will help customers adopt GitLab and the GitLab Duo Agent Platform in complex enterprise environments, including self-managed, regulated, and constrained deployments. You will guide deep technical discovery, design practical adoption paths, and build reusable solutions that help customers move from early platform use into broader CI/CD, security, compliance, and AI-enabled workflows.
This is not a traditional consulting role centered on one-off delivery. Instead, you will use customer issues to create durable technical assets, shape architecture patterns, and influence upstream product and engineering decisions when field needs point to a broader solution. Your work will help reduce time to value for strategic customers while improving how GitLab scales adoption across similar environments.
Some examples of our projects:
- Building a regulated-environment deployment accelerator for GitLab Duo Agent Platform in self-managed or constrained environments
- Authoring reusable reference architectures for AI Gateway, identity, runners, network boundaries, model connectivity, and governance controls
- Identifying a geo-replication gap in a self-managed deployment, tracing it to a root cause in Gitaly or the git backend, and contributing a targeted code or design change upstream
What you’ll do
- Conduct deep technical discovery in selected strategic accounts to assess platform readiness, evaluate constraints, and identify high-value adoption opportunities across GitLab and GitLab Duo Agent Platform.
- Lead architecture and delivery design for complex enterprise environments where platform migration, regulated requirements, and product boundaries intersect.
- Partner with customer stakeholders and GitLab account teams to prioritize use cases based on business impact, technical feasibility, repeatability, and long-term platform value.
- Design and build bounded proofs, prototypes, deployment patterns, and reusable accelerators across source code management, CI/CD, security, compliance, and AI-enabled workflows.
- Architect self-managed and enterprise deployments, including runners, access controls, network boundaries, observability, AI Gateway, model connectivity, and governance controls.
- Turn recurring field patterns into reusable assets such as runbooks, templates, design notes, technical guidance, product briefs, and reference architectures that can be used across accounts.
- Contribute code, technical designs, or architecture changes when strategically necessary, in partnership with product and engineering, to address blockers that should be solved upstream.
- Travel as needed for strategic customer engagements, architecture workshops, and team coordination, with expected travel up to 50%.
What you’ll bring
- Experience in software engineering, platform architecture, forward deployed engineering, technical consulting, or similar customer-facing engineering roles.
- Strong software engineering fundamentals, including the ability to read, reason about, and contribute to production systems, ideally with experience in Ruby on Rails and/or Go.
- Strong systems design and software architecture skills, with experience evaluating APIs, asynchronous workflows, CI/CD systems, security boundaries, scalability, and operational tradeoffs.
- Hands-on experience with GitLab CI/CD, pipeline design, YAML, runners, and GitLab APIs.
- Experience with infrastructure as code and enterprise deployment tooling such as Terraform, Ansible, Helm, or similar approaches.
- Working knowledge of large language models, agentic patterns, tool orchestration, and the practical limits of AI systems in production environments.
- A track record of creating reusable technical assets that outlive a single engagement, along with strong written and verbal communication skills for technical design and architecture guidance.
- Comfort leading conversations with senior stakeholders across security, compliance, engineering, platform, and business teams, especially in ambiguous enterprise environments.
About the team
The Staff Forward Deployed Engineer works closely with teams across Customer Success, Solutions Architecture, product, and engineering to solve hard adoption problems in enterprise customer environments. We focus on high-leverage technical work for strategic customers, especially when standard approaches do not fully fit the environment or the adoption challenge.
We are especially valuable in situations where self-managed deployment models, security and compliance requirements, migration complexity, or AI platform adoption create barriers that standard approaches do not fully address. Success on our team comes from strong technical judgment, a bias for reuse, and the ability to balance immediate customer needs with long-term platform impact.
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
Ready to apply?
Apply to GitLab
About AppLovin
AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.
To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.
Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.
As a Backend Engineer for this venture, you will architect the digital backbone of our next-generation social platform. You'll design and build robust, scalable systems that power everything from seamless media delivery and real-time social interactions to our intelligent content discovery engine. Your day will involve rapidly shipping MVPs for our Creator and Content Operation platforms, ensuring our internal tools are as powerful as our user-facing app. You will drive the technical direction of our platform by collaborating with product managers and AI engineers to translate ambitious ideas into scalable architecture.
【The Impact You'll Make】
-
Build Creator & Ops Platforms: Design and own the high-velocity services that power our creator ecosystem and internal content operation tools.
-
Design and Build Core Services: Architect and develop fundamental backend services and APIs that support content delivery, user interactions, and real-time engagement.
-
Develop Scalable Systems: Build and optimize large-scale distributed systems for media processing, storage, and high-concurrency content distribution.
-
Architect Data Infrastructure: Design our data infrastructure to support real-time analytics and empower machine learning recommendation systems.
-
Ensure Platform Integrity: Implement robust content ecosystem and safety mechanisms to maintain platform health and user trust.
-
Enable Real-time Engagement: Create scalable real-time services for social features including messaging, notifications, and live interactions.
【Who You Are】
-
3+ years of backend development experience with a strong track record of building and scaling distributed systems in a fast-paced environment.
-
Generalist Mindset: Deep proficiency in at least one major backend language (Go, Java, or Python) and the adaptability to pick up new tools as the product evolves.
-
Fast Builder: You thrive on shipping early versions of a product quickly and are comfortable prioritizing "speed-to-market" over rigid big-company processes.
-
Product-Focused: Experience building B2B or B2C service applications; you prefer solving user-facing problems rather than purely low-level infrastructure.
-
System Design Expert: Strong experience with relational/NoSQL databases, message queues, and caching systems (Redis, Kafka, Postgres, etc.).
-
Collaborative & Scrappy: Proven ability to work in a startup setting where you own features from design to launch, supported by an internal Ops/Infra team.
-
Solid Fundamentals: Deep understanding of data structures, algorithms, and how to design high-traffic backend services.
【Bonus Qualifications】
-
Experience with media streaming protocols or processing pipelines.
-
Knowledge of recommendation systems or machine learning infrastructure.
-
Background in real-time communication technologies.
-
Previous experience building social platforms or content-driven products.
【Why Join This Venture】
This is a startup within a proven industry leader. You'll get the ideal combination of a startup's autonomy, impact, and velocity with the resources, stability, and expertise of AppLovin. As a founding engineer, you'll have unparalleled ownership over our technical architecture and the opportunity to build systems from the ground up that will serve millions of users. You'll work with cutting-edge technologies while solving unique challenges in social networking and AI-driven content discovery. Join our small, mission-driven team and help create the next growth story from scratch.
Ready to apply?
Apply to AppLovin
Senior Software Engineer, Engineering Enablement
Share this job
We are seeking a Senior Software Engineer to join our Engineering Enablement team and drive company-wide developer productivity. You will build and evolve internal platforms, services, and toolchains that power engineering workflows across Motional.
In this role, you will partner closely with teams across the organization to identify systemic bottlenecks, design scalable, self-service developer platforms that reduce cognitive load, streamline CI/CD workflows, and enable teams to move from code to production with speed and confidence.
Your primary focus will be our internal developer platform and productivity tooling, enabling engineers to ship reliable, high-quality code faster and more efficiently.
What You’ll Be Doing:
- Build scalable backend services, CI/CD pipelines, build systems, toolchains and platforms that can support developer workflows
- Work closely with engineering teams throughout the company to understand their needs, identify pain-points and drive initiatives to improve their development workflows
- Improve system reliability, performance, scalability, and observability across distributed systems by introducing new tools and/or building new features
- Monitor system performance and health, proactively identifying and resolving issues before they impact users
- Contribute to system architecture decisions and technical roadmaps
What We Are Looking For:
- Bachelor Degree in Computer Science, Engineering, or equivalent knowledge and work experience
- 5+ years in Software Engineering or related roles
- Strong background in modern programming languages (Python, Go, C++ are the ones we use).
- Experience with Unix-like environments, software, and toolchains.
- Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins), cloud platforms (e.g. AWS, GCP) & infrastructure as code (Terraform, CloudFormation).
- Expertise in software development lifecycle including the ability to understand ambiguous goals and convert them into software requirements
- Strong communication and interpersonal skills and ability to thrive in a fast-paced, dynamic environment.
Bonus Points (not required, but a plus):
- Experience in the AV industry or robotics
- Deep expertise with monorepo software development tools and services (e.g. Bazel)
- Previously been on on-call roster to support P1 & P0 systems
- Experience with AI/LLM integration, specifically building/extending Model Context Protocol (MCP) servers to enhance developer productivity and system automation.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Software Engineer - Data Platform
Share this job
Mission Summary
The Data Platform team is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives:
- Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant.
- Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform.
- Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.
What You'll Be Doing
- Play a key role in designing and building the next generation of data infrastructure.
- Build scalable backend services for data discovery and data lineage systems.
- Write high quality, maintainable code to process petabytes of data
- Lead and champion high-level system design and quality code reviews/technical contributions.
- Design, build, and maintain scalable data processing and access with cloud ETL technology.
What We're Looking For
- 3+ years of professional experience as a data engineer or data pipeline engineer
- BS or MS in Computer Science or related field
- Strong development experience with Python and SQL.
- Expertise with AWS services and solutions (EKS, Lambda, ETL)
- Experience with distributed system design and development
- Comfortable working in a fast-paced, continuous delivery environment
Bonus Points (not required):
- Experience with Infrastructure Monitoring
- Experience working in cross-functional development teams
- Prior experience with agentic workflows is a plus.
- Prior experience in autonomous vehicles (AV) is a plus.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Principal Software Engineer, Team Lead - Perception Platforms
Share this job
Mission Summary:
On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality. The Perception Platform team is central to this mission, operating at the intersection of ML Infrastructure and Perception. We build the foundational frameworks, evaluation pipelines, and tooling that enable our Perception team to scale their work on the tech stack responsible for perceiving the dynamic world around our robo-taxi.
These foundational systems include our large-scale data pipelines, which are critical for efficient end-to-end ML development (e.g. data transformation, model training, and model evaluation) of our on-car and off-car Perception solutions. It also includes our evaluation and visualization tools, which provide intuitive insights into dataset distributions, model behavior, system performance, and edge-case scenarios. Finally, our active learning loop which continuously selects and incorporates high-value data to improve model accuracy and robustness over time.
What you’ll be doing:
- Build, lead and manage a high-performing team in the creation, maintenance, and optimization of our internal data, training, and evaluation pipelines specific to perception modelling team.
- Provide technical guidance, mentorship, and career development opportunities to team members
- Define team goals, priorities, and roadmap in alignment with company objectives
- Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements. This includes troubleshooting and optimizing machine learning workflows for maximum efficiency and performance, architecting and executing cutting-edge technologies/methodologies for accelerating ML development end-to-end from concept to deployment & maintenance.
- Lead design and code reviews, setting a high bar for quality and ensuring the adoption of best practices.
- Foster cross-functional collaboration ensuring alignment with broader organizational goals.
What We’re Looking for:
- 7+ years of professional software engineering experience, with at least 3+ years in a formal or informal leadership or mentorship role.
- BS or MS in Computer Science or a related technical field.
- A passion for remaining hands-on and a proven ability to contribute high-quality, production-level code to a shared codebase.
- Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas)
- Proven experience in backend development and leading the architecture of complex systems.
- A deep understanding of ML or Perception topics to strategically guide pipelines/tooling.
- Demonstrated experience in designing and delivering data visualization tools or internal engineering dashboards that drive insights and action.
- Expert knowledge of software engineering principles, with a track record of leading teams in software design, source control management, build processes, code reviews, and testing methods.
- Excellent communication and interpersonal skills, with the ability to articulate a technical vision and motivate a team
Bonus Points:
- Expertise in concurrency, parallel processing, and database systems to inform architectural decisions.
- Experience with distributed computing frameworks like K8s and Ray.
- A proven track record of developing and deploying Perception systems for autonomous vehicles or robotics.
- A Ph.D. in a relevant field, or equivalent industry experience that demonstrates a commitment to continuous learning.
- Proficiency in modern C++ (C++14/17 or later)
- Experience with building products with current LLMs and MCP protocols.
- Experience with GPU-accelerated data processing.
- Familiarity with Pytorch, TensorFlow or other modern ML development platform
- Experience in project management and a history of successfully delivering complex technical projects.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Principal Software Engineer - (Platform & Applications - CloudApps)
Share this job
As the Principal Engineer for Cloud Applications in Singapore, you will define the technical roadmap for the platforms that manage and update our autonomous fleet: Command Center and OTA Updates. Moving beyond a Staff-level focus on specific features, you will architect the entire Fleet Management ecosystem to support a 100x scale in global commercial operations. You will bridge the gap between high-scale cloud portals and on-vehicle robotics systems, while establishing the industry standard for SDLC maturity across the group.
What you'll be doing:
- Lead the design and scaling of the Command Center (React/Golang/Python) to support massive growth in fleet size and geographic complexity. You will ensure the platform remains responsive and reliable as it transitions to a high-frequency, commercial-ops portal.
- Own the architectural interface between cloud-based deployment services and on-vehicle hardware. You will oversee the development of C++ and Python services that manage mission-critical updates, ensuring safe, atomic, and verifiable deployments to robotics hardware.
- Elevate the team from high-velocity to high-reliability. You will design and implement organization-wide standards for automated testing, CI/CD safety, and release orchestration, ensuring that every deployment is a non-event.
- Architect the Commercial Ready versions of our fleet tools, ensuring they are decoupled from legacy R&D dependencies and ready for rapid deployment into new global markets and partner ecosystems (e.g., Uber).
- Act as a force multiplier across the Singapore office. You will provide technical mentorship to Staff and Senior engineers, bridging the gap between Cloud, Robotics, and Embedded teams to solve complex, cross-stack architectural challenges.
What we're looking for:
- Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).
- 12+ years of professional software engineering experience, with a track record of leading major technical initiatives that impact multiple teams.
- Expert-level proficiency in Golang and Python for backend services, with a deep architectural understanding for large-scale, real-time operational portals.
- Strong technical depth in C++, with experience in hardware-software communication, IoT messaging protocols, or robotics update mechanisms.
- Proven ability to transform the engineering culture of a group, moving from manual or high-friction processes to a state of high automation, reliability, and test coverage.
- Experience in designing new software systems from the ground up using event-driven architecture (EDA) to ensure high scalability, decoupling, and real-time responsiveness.
- Expert at balancing immediate commercial requirements with the long-term technical health and hardening of mission-critical systems.
- Strong experience with major cloud providers (AWS/GCP/Azure) and a solid understanding of containerization and Infrastructure-as-Code principles.
Bonus points (not required):
- Prior experience in the Autonomous Vehicle, Robotics, or large-scale IoT/Fleet Management industries.
- Experience leading technical projects in a globally distributed team.
- Experience with OLAP databases (e.g. ClickHouse) or building observability tools for monitoring and tracing.
- Proven expertise in CI/CD orchestration, build systems (Bazel), frameworks
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Boku Inc. (BOKU.L) is the leading global provider of local mobile-first payments solutions. Global brands including Amazon, DAZN, Meta, Google, Microsoft, Netflix, Sony, Spotify, and Tencent rely on Boku to reach millions of new paying consumers who do not use credit cards with our purpose-built payment network of more than 300 local payment methods across 70+ countries. Every year, Boku processes over $10 billion in value for our customers. Incorporated in 2008, Boku is headquartered in London and San Francisco and has employees in over 39 countries around the world, including Brazil, China, Estonia, Germany, Ireland, Japan, Singapore, and the UAE. Boku is a truly global company that takes pride in its diversity and thriving equal opportunity workplace.
Role Purpose
As a Senior Backend Software Engineer (Fixed Term Contract) within Boku’s Engineering organisation, you will be one of a small group of engineers delivering new products as part of Boku’s Innovation department. A new suite of products being built from the ground up. This is a greenfield development engagement: the work is scoped to designing and building new software, not maintaining or extending existing production services. You will work in a small, high-autonomy team with a clear remit and a defined delivery horizon, reporting to the Head of Product and Engineering.
Key Responsibilities
Backend Engineering
- Design and build production-grade services using Java and Spring Boot, targeting high throughput, low latency, and high availability (99.99%+).
- Implement and evolve RESTful/gRPC/MCP and event-driven APIs supporting payment initiation, callback handling, reconciliation, and settlement flows.
- Build for fault tolerance and resilience: circuit breakers, retry logic, idempotency, and graceful degradation under load. Maximum observability and telemetry at the core of the build to ensure easy support.
- Optimise service performance through profiling, load testing, and careful data access layer design (SQL and NoSQL).
- Collaborating with colleagues and off-shore development teams providing code-reviews and guidance as necessary to team members and development studios.
Payment Systems
- Build the core components of Payout, Card Processing and FX systems from scratch, including a payout processing engine, AI agent treasury orchestration layer, and cash forecasting service. This work is entirely new development and there is no existing codebase to maintain or inherit.
- Contribute to PCI DSS compliant system design and implementation, including sensitive data handling, audit logging, and access control.
Frontend Contribution
- Contribute React-based frontend components for internal tooling, operational dashboards, and merchant-facing interfaces where required.
- Work with Product and Design to deliver functional, well-tested UI features that meet Boku's quality bar.
FX & Treasury Integration (Desirable)
- Support integration with FX data sources including Bloomberg feeds, for use in real-time rate pricing, settlement FX, and treasury risk tooling.
- Contribute to cash position and FX exposure monitoring services, working alongside Finance and Treasury stakeholders.
Reliability & Operations
- Instrument projects with observability from day one: structured logging, distributed tracing, metrics, and alerting built as part of the product, not retrofitted. On-call and incident management for existing Boku production services are outside the scope of this contract.
- Instrument services with structured logging, distributed tracing, and metrics; contribute to SLO/SLA definitions and alerting.
- Set up CI/CD pipelines, container build configuration (Docker/EKS), and code quality gating (SonarCloud, SAST) as new infrastructure built to Boku’s engineering standards and handed over as part of the finished product.
Key Skills, Experience and Competencies
Required
- 5+ years of backend engineering experience, with deep expertise in Java and the Spring Boot ecosystem (Spring MVC, Spring Data, Spring Security).
- Demonstrable experience building and operating high-throughput, high-availability distributed payment or financial services systems.
- Strong understanding of payment system architecture: idempotency, exactly-once delivery, reconciliation, and settlement flows.
- Experience with relational databases (PostgreSQL, MySQL) and messaging systems (Kafka, RabbitMQ, or equivalent).
- Familiarity with container-based deployment (Docker, Kubernetes/EKS) and CI/CD pipeline tooling (GitHub Actions or equivalent).
- Experience with PCI DSS compliant system design and secure coding practices.
- Strong communication skills; ability to work effectively with Product, Architecture, and Operations in a globally distributed team.
Preferred
- React frontend development experience sufficient to contribute to internal tooling and dashboards.
- Experience integrating with Bloomberg data feeds (BFIX, B-PIPE, or similar) or other real-time FX data sources.
- Background in FX processing, treasury systems, or multi-currency settlement.
- Experience with financial messaging standards (ISO 20022, SWIFT MT/camt formats).
- Prior work in a payments processor, PSP, or fintech operating across multiple markets.
AI & Agentic Systems
- Practical experience building or integrating LLM-powered features into production services, including prompt engineering, tool/function calling, and structured output handling via APIs such as Anthropic or OpenAI. Familiarity with AWS Bedrock is ideal.
- Experience designing or contributing to agentic workflows: multi-step autonomous processes where models plan, call tools, and act on results — including handling retries, failure modes, and human-in-the-loop checkpoints.
- Familiarity with MCP (Model Context Protocol) or similar tool-use frameworks for connecting AI models to internal APIs, databases, and external services.
- Comfortable using AI-assisted development tooling (e.g. Claude Code, GitHub Copilot, Cursor) as part of day-to-day engineering workflow, and able to reason critically about where AI assistance adds value versus where it requires human judgement.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- 5+ years of professional software engineering experience in backend-heavy roles.
- Prior experience in a regulated financial services or payment processing environment strongly preferred.
Why Join Boku?
Impact: Work on payment infrastructure that processes billions of dollars annually, serving some of the world's largest digital commerce platforms across 65 countries.
Focus: A fixed term engagement with a clearly scoped remit, embedded within a high-calibre engineering team operating on greenfield and core platform work.
Culture: A collaborative, inclusive engineering culture that values craft, rigorous thinking, and delivery. Boku is a genuinely global company with deep expertise in local payment markets.
Benefits: Competitive day rate, flexible working arrangements, and Singapore-based team with global stakeholder exposure.
Ready to apply?
Apply to Boku
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
You will join the Workato AI Lab, which partners with industry leaders, public sector organizations, and academic institutions to build real-world AI solutions. Join our multidisciplinary team as we pioneer next-generation AI innovation for Asia’s top enterprises. From driving agentic orchestration to building robust AI governance frameworks, your work will shape the future of intelligent automation for leading organizations across the region.
We seek an exceptional Senior Go Engineer to join the Workato Genie team. In this role, you will be responsible for developing mission-critical features and services for the Workato platform, including AI chatbot dispatching and balancing synchronous and asynchronous AI execution. You will also be accountable to:
- Build high-performance gateways and routing components
- Build server-side infrastructure for logging and monitoring
- Work closely with Infra and SRE teams to ensure high availability and scalability requirements are addressed
- Collaborate closely with the AI team to design and implement innovative features for a new AI assistant, ensuring cutting-edge performance and user experience.
- Contribute at all phases of the development lifecycle
- Write well-designed, testable, efficient code
- Evaluate and propose improvements to the existing system
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
Qualifications / Experience / Technical Skills
- BS/MS degree in Computer Science, Engineering, or a related subject
- 8+ years of industry experience
- Strong experience with Go language at backend (4+ years)
- Excellent debugging, analytical, problem-solving, and social skills
- Good understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
- Experience with building and scaling distributed, highly available systems
- Experience in Ruby on Rails is a plus
- Contributions to open-source projects are a big plus
- Understanding of possible bottlenecks in a code and a solution in general
- At least basic knowledge of Kubernetes concepts and configuration
Optional Requirements
- Experience with Docker and other isolation technologies
- Experience with Redis-based caching
- Experience with public cloud infrastructure providers (AWS/Azure/Google Cloud)
- Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc)
- Experience with third-party REST APIs at scale (request throttling, batch processing, etc)
Soft Skills / Personal Characteristics
- Readiness to work remotely with teams distributed across the world and timezones
- Spoken English (at a level enough to pass technical interviews and work with colleagues)
- Open to new technologies and willing to experiment
- Full-cycle product feature delivery mindset (from design to production and maintenance).
Job Req ID: 2423
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are seeking an Senior AI Applications Engineer (Full Stack) to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.
This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.
-
Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.
-
Build scalable, production-grade backend services and REST APIs using Python.
-
Develop clean, performant, and reusable React.js components for modern web interfaces.
-
Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.
-
Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.
-
Lead architecture discussions and set engineering best practices across the stack.
-
Optimize application performance, scalability, and reliability across backend and frontend systems.
-
Mentor junior developers and contribute to a culture of engineering excellence.
Requirements
Qualifications / Experience / Technical Skills
-
Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.
-
5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.
-
Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.
-
Proven experience developing production-ready frontend applications using React.js (or similar frameworks).
-
Deep knowledge of REST API design and integration patterns.
-
Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.
-
Familiarity with integrating AI/ML models into applications (directly or via APIs).
-
Strong understanding of software architecture, scalability, security, and system design.
-
Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.
Soft Skills / Personal Characteristics
-
Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.
-
Strong sense of ownership, accountability, and leadership.
-
Passion for AI and delivering impactful, data-driven software solutions.
-
Comfortable working in a fast-paced, collaborative, and iterative environment.
-
Willingness to mentor others and help raise the overall bar for engineering quality.
(REQ ID: 2456)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an experienced and exceptional AI / ML Engineer (Voice Agents) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane.
You will be working on the AgentX Apps, Please click on the link for more details.
As part of this role you will:
- Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.
- Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.
- Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.
- Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.
- Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.
- Lead technical initiatives for AI system integration into existing products and services.
- Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.
Requirements
Qualifications / Experience / Technical Skills
- Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
- 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
- Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).
- Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).
- Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.
- Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.
- Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.
- Expertise in working with use case based SLMs for realtime agent coaching and recommendations.
- Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.
- Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.
- Deep knowledge of REST API design, Pub-Sub architectures and integration patterns.
- Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)
- Strong understanding of software architecture, scalability, security, and system design.
- Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.
- Experience with A/B testing and experimentation frameworks.
Soft Skills / Personal Characteristics
- Strong communication abilities to explain technical concepts
- Collaborative mindset for cross-functional team work
- Detail-oriented with strong focus on quality
- Self-motivated and able to work independently
- Passion for solving complex search problems
Job Req ID: 2455
Ready to apply?
Apply to Workato
Staff Software Engineer, Cloud Apps
Share this job
Mission Summary:
We are looking for a Staff Software Engineer to join our Cloud Apps team as a strategic technical leader in Singapore. As we transition from R&D to full commercial operations, you will lead the technical evolution of our infrastructure to support a rapidly growing robotaxi fleet.
In this role, you will architect the backbone for our core commercial capabilities—scaling our dispatch engines, building integrations with partners like Uber, and optimizing real-time services.
This is a high-impact technical role where you will drive architectural decisions that ensure our system is robust, scalable, and ready for the rigors of a live passenger service. You will act as a force multiplier for the team, elevating engineering standards and mentoring others as we tackle complex distributed system challenges.
What will you be doing?
- Architect for Scale: Lead the design and optimization of our distributed systems to handle significant fleet growth. You will identify bottlenecks in real-time data pipelines and redesign core services to ensure low-latency performance at commercial scale.
- Commercial Reliability & Observability: Drive the transition from "R&D" to "Commercial Grade" reliability. You will implement high-availability patterns and embed comprehensive observability metrics to ensure end-to-end system health and rapid anomaly detection.
- Technical Roadmap Ownership: Partner with Product and Engineering leadership to define the technical roadmap. You will balance immediate commercial deliverables with long-term architectural investments to ensure sustainable system evolution.
- Engineering Excellence & Team Growth: Champion best practices in code quality, system design, and documentation. You will mentor senior engineers, shape the engineering culture, and play a key role in the future technical or people leadership of the organization.
What we hope you’ll come with:
- Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).
- 8+ years of backend engineering experience, with a proven track record of operating at a Staff, Lead, or equivalent senior level.
- You have deep knowledge of concurrency, database consistency, and microservices patterns. You know how to build systems that fail gracefully and recover automatically.
- You have a "reliability mindset." You are experienced with post-mortems, incident management, and building systems that are easy to debug and operate.
- Deep experience with Golang (preferred) or Python in a production environment.
- Strong experience with major cloud providers (AWS/GCP/Azure) and a solid understanding of containerization and Infrastructure-as-Code principles.
Bonus Points for experience with:
- Experience leading technical projects in a globally distributed team.
- Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
- Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
AI Agent Security Research Engineer
Share this job
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
Responsibilities
-
AI-Driven Code Security Detection Engine
-
Design and implement a multi-agent collaborative code auditing system covering vulnerability detection, malicious code identification, and sensitive information leakage scenarios; lead the role decomposition of Planners/Executors/Critics, tool invocation chains, and cross-agent state synchronization mechanism design.
-
Integrate RAG, Chain-of-Thought, Reflection, and other technologies into security audit agents. Continuously optimize detection accuracy and recall rates while establishing a quantifiable evaluation and iteration framework.
-
Deeply integrate with DevSecOps workflows. Develop plugins for mainstream pipelines like GitLab CI/CD, Tekton, and Jenkins to achieve “audit-on-commit.”
-
-
AI System Security Protection and Threat Response
-
Responsible for constructing a security protection framework for large language model applications, covering three dimensions: input layer (prompt injection, jailbreak detection), output layer (sensitive information leakage, compliance auditing), and runtime (tool invocation sandboxing, anomaly behavior circuit breaking).
-
Develop Agent workflows for automated alert classification, contextual correlation, and false positive filtering. Integrate RAG-driven threat intelligence retrieval to generate automated analysis conclusions, supporting SOAR platform integration.
-
Design human-machine collaboration intervention mechanisms and Agent behavior audit systems to ensure observability, traceability, and intervenability of Agent actions in production environments, adhering to industry standards like the OWASP Top 10 Risks for LLMs.
-
- Engineering Development and Platform Services
- Construct a highly available, scalable Agent service architecture supporting large-scale concurrent scanning task scheduling and fault tolerance.
- Oversee standardized API output for detection capabilities, building closed-loop systems for rule management, result visualization, and false positive feedback.
Requirements
- Development Experience: 3+ years of backend development experience, proficient in at least one of Python/Go/Java, with a solid engineering foundation.
- Agent Implementation & Security: Hands-on experience deploying LLM Agents (not just demos), capable of detailing engineering challenges such as Agent architecture design, hallucination handling, and tool invocation fault tolerance; Hands-on experience with AI security, understanding risks like prompt injection, jailbreaking, malicious agent injection, and tool misuse, with implementable defense strategies.
- Framework Proficiency: Familiarity with at least one agent framework (LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph), with production project experience.
- Engineering Capabilities: Proficient in Docker and Kubernetes, with expertise in microservices architecture design and deployment.
Preferred Qualifications
-
Security Tool Experience: Experience with SAST/SCA tools, or deep usage of code auditing tools like CodeQL, Semgrep, or SonarQube.
-
Model Fine-Tuning: Experience with LLM fine-tuning (SFT, LoRA), or familiarity with local deployment and optimization of models like Llama 3, Qwen, or DeepSeek. Bonus points for security-domain fine-tuning experience, such as training and evaluating security detection models for malicious prompt detection, unauthorized access identification, or harmful content filtering.
-
Open-Source Contributions: High-quality open-source projects related to agents on GitHub, or pull requests submitted to mainstream LLM frameworks.
-
Security Competitions: Awards from CTF competitions, or a track record of submitting CVE/CNVD vulnerabilities.
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Ready to apply?
Apply to OKX
Software Developer
Share this job
Job Description
Fusion Worldwide is looking for a hands-on developer who can both build applications and stand up the infrastructure they run on. This role sits at the intersection of software engineering and day-to-day operations — you will own solutions end-to-end, from database design and deployment pipelines through to the application layer and operational dashboards.
You'll significantly shorten the time between an operational need and a working solution. We prioritize shipping working tools quickly, then hardening them as they prove their value.
What We Can Do For You
- Offer support through a collaborative, open environment alongside seasoned professionals with decades of industry expertise.
- Enable career growth through direct and focused mentorship.
What You Can Do For Us
Key Responsibilities
- Design, develop, and deploy automation and AI-assisted solutions for warehouse and test lab operations.
- Set up and maintain the deployment infrastructure these tools run on — databases, application hosting, CI/CD, backups, and monitoring.
- Design and operate data pipelines that ingest equipment data from warehouse systems and Prosemi test lab machines into centralized, queryable stores for real-time monitoring and automation.
- Build and maintain barcode label recognition and authentication systems using OCR and computer vision techniques.
- Develop inventory auto-count and verification workflows that reconcile physical stock against database records in real time.
- Manage the on-premise and/or cloud environments where these systems run, including networking between warehouse equipment and centralized services.
- Implement basic security and access controls — authentication, secrets management, and network segmentation between equipment and corporate systems.
- Work closely with the engineering team to ensure solutions follow company standards and remain maintainable at scale.
- Iterate rapidly on released solutions — applying updates, feature additions, and adjustments with minimal turnaround time.
- Own runbooks and documentation for the tools you build so operations teams can self-serve.
What you will work on
- Barcode AI recognition — OCR and vision-based label reading and authentication to reduce manual verification errors.
- Inventory auto-count — Automated physical inventory counting with real-time database cross-verification.
- Machine data integration — Connecting test lab and warehouse equipment to structured data pipelines.
- Operational dashboards — Visibility tools that surface key metrics to operations and quality teams.
Who We’re Looking For
- 5+ years of software development experience, including at least 2 years operating production systems you built yourself.
- Minimum of a Bachelor’s Degree in computer science or a related discipline is required for this role.
- Strong backend development skills in Python (or similar), with solid fundamentals in API design, async processing, and database modeling. Comfortable with both SQL and NoSQL — and knows when to use which.
- Hands-on experience deploying and operating production systems: containers (Docker), at least one cloud platform (AWS/Azure/GCP) oron-prem Linux administration, CI/CD pipelines, and basic observability (logs, metrics, alerts).
- Experience designing and running data pipelines that ingest from external sources (APIs, hardware, files) into a queryable store.
- Comfortable with networking fundamentals — TCP/IP, firewalls, VPNs — and connecting industrial or warehouse equipment to backend services.
- Familiarity with AI/ML APIs or frameworks for vision tasks (OCR, object detection, classification). You don't need to train models from scratch, but you should know how to integrate and fine-tune existing ones.
- Comfortable working in an operational environment — able to gather requirements directly from non-technical stakeholders and translate them into working systems.
- Strong ownership: you can take a project from a vague operational need through to a deployed, monitored, documented solution.
Good to have
- Exposure to industrial equipment data protocols (Modbus, MQTT, OPC-UA, serial, vendor REST APIs).
- Experience with computer vision or barcode/OCR technologies (YOLO, Tesseract, ZXing/pyzbar, cloud vision APIs).
- Message queues or streaming tools (RabbitMQ, Kafka, Redis Streams).
- Background in warehouse management systems (WMS) or laboratory information management systems (LIMS).
- Experience in electronics distribution, semiconductor, or supply chain environments.
Benefits
- Attractive salary package with medical and dental benefits.
- Modern, open-concept working environment.
- Collaborative and motivated team culture.
- Supportive management invested in your success.
- Smart casual dress code.
- Conveniently located within walking distance from Taiseng MRT station.
Ready to apply?
Apply to Fusion Worldwide
Staff Software Backend Engineer: ERP & Operations Software
Share this job
Company Overview
Amperesand is reinventing how the world powers its most critical systems.
We are facing a once-in-a-generation opportunity for infrastructure disruption. Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern industrial growth. Energy supply is shifting to incorporate a more diverse mix of resources – including solar, gas, and batteries – at a massive scale.
And yet the power infrastructure behind our latest mega-projects hasn’t meaningfully changed in nearly 100 years. Supply chains for today’s infrastructure equipment can’t match the pace and sophistication of critical energy projects. Amperesand is building hardware and software that rewrites this broken power infrastructure playbook to support a new era of energy abundance.
We’ve built a new class of intelligent, software-defined power infrastructure products leveraging a decade of advanced medium voltage Solid State Transformer research that’s now ready for commercial deployment.
Our products and solutions go far beyond the capabilities of traditional electrical equipment. We make power systems that are faster to deploy, dramatically smaller and more efficient, and capable of supporting modern, dynamic energy needs for tomorrow’s most demanding energy consumers.
Scalable in-house advanced manufacturing capability is our foundation for meeting timeline and quality expectation to serve infrastructure customers around the world.
Amperesand is led by breakthrough energy hardware development veterans and funded by top tier investors who share our vision of building a category-defining energy technology company.
With hubs in San Francisco, Reno, and Singapore, our global team is laser focused on building foundational technology to solve the most pressing problems in power infrastructure at scale.
Join us in building the power foundation of the future!
Role Summary
This role is an opportunity to work with a high-agency startup team operating in the hard-tech and energy systems space. You will play a critical role in designing, building, and scaling the backend systems that power Amperesand’s ERP platform and its integration with factory software, analytics, and operational software systems.
This is a hands-on role. You will architect and deliver production-grade backend services that support high-concurrency, high-availability workloads across manufacturing, inventory, supply chain, work orders, and enterprise operations. The backend in this role will serve as the connective layer between ERP capabilities and factory software execution, while also enabling intelligent systems that support automation, decision support, operational analytics, and future AI-driven workflows. The role requires close collaboration with frontend, product, AI, and domain expert teams — along with a strong sense of ownership, systems thinking, and pragmatism in building reliable software for real-world operations.
Responsibilities:
- Own the design, architecture, and implementation of backend systems for Amperesand’s ERP platform and its integration with factory software, analytics, and operational platforms.
- Build and scale high-concurrency, high-availability services in Go to support mission-critical manufacturing and business workflows.
- Design backend systems that connect ERP workflows with factory software domains such as inventory management, supply chain operations, work order execution, production tracking, and enterprise reporting.
- Build robust APIs, service interfaces, and data models that enable frontend applications, analytics systems, internal tools, and third-party enterprise integrations.
- Develop backend capabilities for workflow orchestration, machine and system integrations, telemetry ingestion, operational event processing, and reporting.
- Build services that connect shop-floor execution with ERP-oriented workflows such as material tracking, inventory state, work order status, fulfillment processes, and supply chain visibility.
- Design and support intelligent systems that enable automation, contextual recommendations, operational insights, and AI-assisted workflows across ERP and factory software platforms.
- Build distributed systems that are reliable, observable, and resilient under production load.
- Optimize backend performance across service latency, throughput, data access patterns, and system resource utilization.
- Collaborate closely with frontend, product, and domain teams to translate operational requirements into scalable backend architectures.
- Drive best practices for service reliability, fault tolerance, testing, deployment, and maintainability.
- Contribute to technical strategy and architecture decisions across backend, infrastructure, data, and platform layers.
- Mentor other engineers through code reviews, design reviews, and strong engineering standards.
- Leverage AI-assisted development tools where useful to improve engineering velocity, code quality, and developer productivity.
- Document service designs, architecture decisions, and tradeoffs for cross-functional stakeholders.
Qualifications:
- 7+ years of experience in backend or distributed systems engineering, including production deployments in scalable environments.
- Strong experience with Go and building production backend services.
- Proven experience designing systems for high concurrency, high availability, and fault tolerance.
- Experience building backend platforms for ERP, MES, factory software, analytics, workflow engines, or other enterprise/business-critical software.
- Strong understanding of API design, microservices, distributed system patterns, and asynchronous/event-driven architectures.
- Experience with databases and data systems such as PostgreSQL, Redis, MQTT, NATS, ClickHouse, or similar technologies.
- Familiarity with real-time data processing, telemetry pipelines, and backend systems that support dashboards, reporting, and analytics.
- Experience with observability and production operations, including logging, metrics, tracing, alerting, and incident debugging.
- Familiarity with cloud infrastructure and containerized deployment environments such as AWS, Kubernetes, and Docker.
- Strong testing discipline across unit, integration, and end-to-end service validation.
- Comfortable working with AI coding tools such as Copilot, Cursor, Claude, or similar tools to supplement and accelerate development.
- Proficiency in English and ability to communicate effectively with wider teams.
- Ability to travel up to 20%, including international
Bonus Qualifications:
- Background in energy engineering systems (power systems, energy storage, power electronics, or controls).
- Experience in manufacturing, industrial automation, supply chain, inventory managment, energy systems, or other operational technology domains
- Experience designing systems that integrate with machines, PLCs, IoT devices, or external enterprise platforms.
- Experience with MES, digital twins, or asset health monitoring.
- Experience working within or building design systems.
- Experience building backend platforms that support AI-enabled workflows, data capture, or operational intelligence systems.
- Familiarity with CI/CD workflows and software DevOps practices.
- Experience working with hardware, firmware, or operations teams.
- Open-source contributions to backend projects a plus.
Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.
Pay Disclosure & Benefits
Compensation will be determined based on experience, location, and other factors permitted by law.
The benefits outlined below apply exclusively to employees located in the United States.
- Competitive Salary + Incentive Stock Options
- Medical, vision, and dental benefits for employees and their dependents, effective from the start of hire
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- 401k retirement savings plan through Empower
- Employees receive paid time off (PTO), paid sick days, and paid company holidays
- Commuter Benefits
- 100% paid maternal leave (12 weeks) and paternal leave (6 weeks)
Singapore-based employees receive benefits in accordance with local government provisions.
Equal Employment Opportunity
Amperesand is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Amperesand is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Ready to apply?
Apply to AmperesandAbout WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
Role Summary and Impact
The Media Futures Group AI Squad is a small, agile, and autonomous innovation team dedicated to charting the course for AI transformation across APAC for one of WPP’s most important and strategic global technology clients.
By seamlessly integrating AI across media, creative, and production, this cross-functional squad delivers cutting-edge innovation and pioneering work to deliver more effective and efficient business outcomes.
The team’s mission is to solve specific business challenges by delivering demonstrable proof of AI-enabled marketing improvements, providing strategic guideposts for the broader organization.
Utilizing best-in-class tools like WPP Open and Gemini, you will innovate and deliver award-winning creative ideas while building, testing, and scaling solutions that enhance effectiveness, efficiency, and execution for our clients.
The AI Solutions Engineer serves as the master builder executing the construction. This highly technical role provides the dedicated, hands-on development support required to forcefully move theoretical architectural visions out of isolated testing environments and into highly secure, Google-approved, enterprise-grade production infrastructures. The AI Solutions Engineer bridges the critical, often perilous gap between a fragile, locally hosted prototype and a highly scalable, robust organizational tool capable of withstanding massive global traffic.
Responsibilities
- API & UI Development: Construct complex backend Application Programming Interface (API) connections and develop the secure user interfaces absolutely necessary to bridge the proprietary WPP Open platform with localized campaign tools and highly guarded client data lakes.
- Live Deployment & Debugging: Execute rapid debugging, performance analysis, and troubleshooting of both machine learning models and underlying cloud infrastructure in real-time to prevent catastrophic performance degradation or service outages during live campaign sprints.
- Security & Compliance: Strictly document the deployed technical architecture upon the conclusion of active campaigns. Solidify security protocols and data pipelines to ensure absolute compliance with enterprise risk standards and global data privacy regulations.
- Codebase Handover: Facilitate the seamless handover of the finalized codebase to centralized, operations-driven technology teams, ensuring pristine code quality, proper containerization, and long-term deployment readiness.
Skills and Experience
- A minimum of 5 years of applied experience in software engineering, highly technical support, or complex solutions engineering.
- At least 2 years focused exclusively on deploying machine learning (ML) or natural language processing (NLP) applications in live commercial environments.
- Exceptional coding and scripting capabilities, primarily utilizing Python, Java, C++, or Go.
- Deep, academic understanding of data structures, complex algorithms, and object-oriented software design principles.
- Proven, hands-on experience troubleshooting, debugging, and reproducing obscure issues within advanced machine learning frameworks, specifically TensorFlow, Keras, and PyTorch.
- Extensive operational experience navigating public cloud services, specifically Google Cloud Platform (GCP) components such as Kubernetes, Compute Engine, and Apache Beam.
- Thorough understanding of computer networking, peering with private clouds, managing highly distributed systems, and Git version control.
Key Competencies
- Vertex MLOps & Cloud Infrastructure Deployment: Capable of establishing robust, automated machine learning pipelines using Vertex AI Pipelines and Google Cloud Platform components like Kubernetes and Compute Engine. Must ensure that generative AI tools are properly containerized to scale securely and withstand massive global traffic during live campaigns.
- Vertex AI Mastery: Deep, hands-on proficiency with Google Cloud's Vertex AI platform as the exclusive, mandated environment for model deployment. Capable of navigating the Vertex Model Garden, configuring foundational models (like Gemini), and executing parameter-efficient fine-tuning for specific campaign needs
- Secure RAG & Grounding Pipeline Engineering: Expert ability to build complex Retrieval-Augmented Generation (RAG) architectures within Vertex AI. Must demonstrate high technical acumen in securely connecting generative models to highly guarded, proprietary enterprise data lakes and Customer Data Platforms without exposing PII or violating data governance.
- Rapid Problem-Solving: Ability to diagnose and repair code-level pipeline failures or UI breakdowns under the extreme pressure of a live campaign sprint.
- Extreme Psychological Resilience: Thriving in highly volatile, fast-paced deployment environments where prototype code must be hardened instantly.
Life at WPP Media & Benefits
Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.
We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please note that while our philosophy is the same across WPP, benefits may vary by office/country.
#LI-Regional
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaJob Description
Abnormal AI is revolutionising cybersecurity by leveraging AI-native technologies to combat modern cyber threats. Behind every fast-moving go-to-market motion is a platform that makes it possible — and that's what the AI GTM Platform team builds. We're the engineering team powering the forward-deployed product teams who sit shoulder-to-shoulder with our customers and internal stakeholders, turning enterprise pain points into shipped product on timelines traditional enterprise cycles can't match.
If you love building leverage — tools, systems, and platforms that multiply the impact of others — and want to own products through every stage of their lifecycle, this role is for you.
What You'll Do as a Software Engineer II
As part of the AI GTM Platform team, you will:
- Build the platform that powers the field. Design and ship the internal products, APIs, and services that let our forward-deployed teams prototype, validate, and scale customer-facing solutions with unusual speed.
- Own the full product lifecycle — 0→1, 1→10, and 10→100. You'll work across Experimental, Early Access, and General Availability stages of platform products. It's rare to get to take an idea from a napkin sketch through enterprise-grade rollout; here, you'll do it, sometimes on multiple products in parallel.
- Work in one of the most dynamic problem spaces in the business. GTM is where strategy, customers, product, and revenue converge. Every customer interaction, every deal, every expansion flows through it — and the platforms you build shape how effectively all of that moves.
- Leverage AI-augmented development. Use AI coding assistants to enhance productivity, optimise workflows, and automate repetitive work.
- Combat modern cyber threats at scale. Build secure, scalable systems that sit inside a platform processing billions of security events for Fortune 500 enterprises.
- Partner closely with customers and the field. Work with the people closest to our enterprise customers to understand real problems, iterate quickly, and deliver solutions that compound over time.
Technical Requirements
We're looking for engineers who have:
- 4+ years of professional experience in software development.
- Backend development experience with Python, TypeScript, or Go.
- Solid fundamentals in at least one modern frontend framework (React, Angular, or Vue). AI accelerates a lot of the implementation work here — what matters is that you can read generated code critically, tell good patterns from bad, and ship frontends you'd be comfortable defending in review.
- Familiarity with — or genuine curiosity and willingness to learn — AI coding assistants as part of your everyday workflow.
- Experience or strong interest in building scalable, enterprise-grade applications.
- Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong fundamentals in computer science, data structures, and performance optimisation.
Nice to Have
- Experience building internal platforms, developer tools, or systems used by other engineering and product teams.
- Background in taking products through multiple maturity stages (prototype → pilot → scale).
- Exposure to GTM, sales engineering, solutions engineering, or other customer-facing engineering environments.
Why Abnormal Security — and Why This Team
- A rare breadth of surface area. Most platform roles specialise in one stage of maturity. Here, you'll operate across experimental prototypes, early-access pilots with design partners, and fully productised GA systems — and learn how each stage demands a different kind of engineering.
- Build for the sharpest users you'll ever have. Your internal users are the technical, fast-moving teams closest to our enterprise customers. They'll give you direct, high-signal feedback and put what you ship into customers' hands quickly.
- Direct line to business impact. GTM platforms are measured by how much faster the business moves as a result. Your work compounds across every customer engagement, every quarter.
- AI-native engineering culture. We expect AI-assisted development — it's how we stay small, fast, and ambitious. You'll have real room to experiment with and shape how the team uses these tools.
- Mission that matters. The systems you build ultimately protect the world's largest enterprises from sophisticated cyber attacks.
Ready to be part of the AI transformation at Abnormal Security?
Once you apply, you'll be invited to our AI-Augmented Development Challenge, where you'll gain hands-on experience with AI coding assistants to build real-world application features. This challenge is a take-home assignment requiring 2–4 hours of work to be completed within one week — apply when you're ready!
#LI-JP2
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Ready to apply?
Apply to Abnormal
Senior Data Analyst - Payments
Share this job
Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!
The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.
In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, and play a pivotal role in supporting strategic business initiatives through data analysis, experimentation and development of metrics and dashboards.
What you’ll be doing
As a Senior Data Analyst, you will:
- Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas, specialising in Payments analytics.
- Design and evaluate experiments for payment-related initiatives, such as additional payment methods, localized currency, etc.
- Partner with web and backend developers to work on the analytics tracking requirements and accuracy of the tracking implementation.
- Turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges.
- Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs.
- Work in partnership with Data Engineers and Analytics Engineers to define data requirements, foundational datasets and ensure high-fidelity tracking.
- Contribute to the planning & execution of the Payments team within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.
Who we’re looking for
Experience & expertise
- 5+ years in a product analytics, growth analytics, or payments analytics role
- Hands-on experience with payments data — knowledge of authorization flows, decline codes, 3DS authorization, PSP performance metrics, or subscription billing is a strong plus
Data mindset & ownership
- Passionate about data and using it to influence business decisions
- Detail-oriented in ensuring data quality and integrity across everything you present
- Self-starter with a strong sense of ownership — you bring insights to life, not just report them
- Comfortable navigating ambiguity and able to lead complex, loosely-defined projects from first principles through to a clear outcome
Business partnership
- Adept at integrating with business teams to truly understand their challenges and define how data can help — as early as possible
- Strong business acumen with a business-first approach to problem framing
- Track record of delivering clear, actionable business value from data — fit for purpose, not just technically impressive
Communication & storytelling
- Excellent communicator who uses storytelling to make insights land at the business level
- Able to connect data narratives to commercial outcomes in a way that resonates across teams
- Fluent in English
- Thrives working alongside intelligent, passionate people
Technical skills
- High proficiency in SQL and/or other querying languages
- Hands-on experience in Tableau or equivalent data visualisation tools
- Comfortable working with AI tools and incorporating them into your workflow to move faster and think sharper
Nice to have, but not required
- You came from a subscription-based e-commerce company.
- A desire to elevate the team by mentoring junior analysts and fostering a culture of peer review and best practices.
Before you apply
- At the moment, we do not sponsor visas in the EU. For Hong Kong, we require at least two years of working experience and a university degree in a related field. For Singapore and the UK, we can only sponsor visas for mid-career or above.
- Please upload your resume as a PDF and do not include any salary or compensation information in it.
ExpressVPN is one of the world’s leading providers of online privacy and security services for consumers. Started in 2009, we’ve grown to have millions of active paying customers, a team of more than 700 people worldwide, and a brand recognized by hundreds of millions of people in 18 languages and more than a hundred countries. We see huge growth in our industry, and are gaining market share through strong execution.
Ready to apply?
Apply to ExpressVPN
Senior Engineer, Vulnerability Scanner
Share this job
Who We Are
About the Opportunity
What You’ll Be Doing
- Design and ship a Multi-Agent code auditing system (vulnerability detection, malicious code, sensitive data leakage) including role decomposition, tool-calling pipelines, and cross-agent state synchronization
- Integrate RAG, Chain-of-Thought, and Reflection techniques into security audit agents; build evaluation frameworks to continuously improve detection accuracy
- Develop CI/CD plugins for GitLab, Tekton, and Jenkins to enable automated security audit on every commit
- Build an LLM security framework covering input, output and runtime
- Design Human-in-the-loop and agent behavior audit systems ensuring production agents are observable, traceable, and controllable
What We Look For In You
- 3+ years of backend development in Python, Go, or Java
- End-to-end LLM Agent production experience with depth in architecture design, hallucination handling, and tool-call fault tolerance
- Hands-on AI security knowledge — Prompt Injection, Jailbreak, malicious agent injection, tool misuse — with production-ready defensive solutions
- Production experience with at least one of LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph
- Proficiency with Docker, Kubernetes, and microservice architecture
Nice to Haves
- SAST/SCA or code auditing tool experience
- LLM fine-tuning or local model deployment; security-domain fine-tuning is a strong plus
- Open source agent projects on GitHub or merged PRs to mainstream LLM frameworks
- CTF awards or CVE/CNVD submission records
Perks & Benefits
-
Competitive total compensation package
-
L&D programs and Education subsidy for employees' growth and development
-
Various team building programs and company events
-
Wellness and meal allowances
-
Comprehensive healthcare schemes for employees and dependants
-
More that we love to tell you along the process!
Ready to apply?
Apply to OKX
Software Engineer, iOS Core Product - Singapore, Singapore
Share this job
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Opportunity to lead key engineering and product decisions
- Actively shipping production code for the Speechify iOS app
- Work within a dedicated product team
- Participate in product discussions to shape the product roadmap
- Maintain and enhance the existing complex app architecture
An Ideal Candidate Should Have
- Experience. You've worked on products that scaled to a large user base
- Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
- Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
- Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
- Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Technical skills. Swift, SwiftUI
Technical Requirements:
- Swift Programming Language
- SwiftUI experience
- Experience in Multithreading Programming
- Working with CI/CD infrastructure
- Experience with Fastlane
- SOLID principles, the ability to write every single class according to SOLID
- Experience with Git and understanding of different Git strategies
What We offer:
- A fast-growing environment where you can help shape the company and product
- An entrepreneurial crew that supports risk, intuition, and hustle
- The opportunity to make a big impact in a transformative industry
- A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
- Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
- Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
- Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
About OKX
About the team
Responsibilities:
-
Architect, develop and maintain frontend solutions with performance, scalability and continuous integration in mind.
-
Leverage AI coding agents and tools (e.g., Claude Code, Cursor) to accelerate development, improve code quality, and automate repetitive tasks across the team's workflow.
-
Design and maintain reusable AI extensions like custom skills, MCP servers, and tool integrations.
-
Develop and maintain reusable component libraries, plugins, and shared modules consumed across multiple products to reduce duplication and improve consistency.
-
Drive improvements to developer experience and engineering velocity - build tooling, CI/CD pipelines, code generation, and AI-assisted workflow automation.
-
Continuously improve product quality and user experience by working with backend engineers, PMs and designers to translate complex business workflows into intuitive interfaces.
Requirements:
-
Bachelor's in Computer Science / Engineering / or related STEM field.
-
Solid production experience with React, TypeScript, HTML5, CSS3, JavaScript, etc.
-
Hands-on experience with AI coding tools and agents (e.g., Claude Code, Cursor) - comfortable using AI to augment development workflows, generate code, and solve problems faster.
-
Exposure to or strong interest in building AI-powered features - chat interfaces, LLM integrations, agent orchestration, or conversational UX.
-
Familiarity with MCP (Model Context Protocol), custom skill/tool authoring, or AI agent extensibility patterns - understanding how to connect AI agents to external systems and codify workflows into reusable automations is a strong plus.
-
Understand of front-end packaging workflow and familiarity with standard development tools such as npm, webpack, git, etc.
-
Understanding of cross-browser compatibility challenges and the ability to diagnose and resolve rendering/behavioral differences across environments.
Perks & Benefits
-
Competitive total compensation package
-
L&D programs and Education subsidy for employees' growth and development
-
Various team building programs and company events
-
Wellness and meal allowances
-
Comprehensive healthcare schemes for employees and dependants
-
More that we love to tell you along the process!
#LI-OL1
#LI-ONSITE
Ready to apply?
Apply to OKX
Staff/Senior Staff Frontend Engineer - Customer Genius & BOSS
Share this job
About OKX
About the team
Responsibilities:
-
Architect, develop and maintain frontend solutions with performance, scalability and continuous integration in mind.
-
Leverage AI coding agents and tools (e.g., Claude Code, Cursor) to accelerate development, improve code quality, and automate repetitive tasks across the team's workflow.
-
Design and maintain reusable AI extensions like custom skills, MCP servers, and tool integrations.
-
Develop and maintain reusable component libraries, plugins, and shared modules consumed across multiple products to reduce duplication and improve consistency.
-
Drive improvements to developer experience and engineering velocity - build tooling, CI/CD pipelines, code generation, and AI-assisted workflow automation.
-
Continuously improve product quality and user experience by working with backend engineers, PMs and designers to translate complex business workflows into intuitive interfaces.
Requirements:
-
Bachelor's in Computer Science / Engineering / or related STEM field.
-
Solid production experience with React, TypeScript, HTML5, CSS3, JavaScript, etc.
-
Hands-on experience with AI coding tools and agents (e.g., Claude Code, Cursor) - comfortable using AI to augment development workflows, generate code, and solve problems faster.
-
Exposure to or strong interest in building AI-powered features - chat interfaces, LLM integrations, agent orchestration, or conversational UX.
-
Familiarity with MCP (Model Context Protocol), custom skill/tool authoring, or AI agent extensibility patterns - understanding how to connect AI agents to external systems and codify workflows into reusable automations is a strong plus.
-
Understand of front-end packaging workflow and familiarity with standard development tools such as npm, webpack, git, etc.
-
Understanding of cross-browser compatibility challenges and the ability to diagnose and resolve rendering/behavioral differences across environments.
Perks & Benefits
-
Competitive total compensation package
-
L&D programs and Education subsidy for employees' growth and development
-
Various team building programs and company events
-
Wellness and meal allowances
-
Comprehensive healthcare schemes for employees and dependants
-
More that we love to tell you along the process!
#LI-OL1
#LI-ONSITE
Ready to apply?
Apply to OKX
Who We Are
About The Opportunity
What You’ll Be Doing
-
Own the product roadmap for AI Trading features — From AI-assisted strategy recommendations, conversational trading interfaces, and intelligent risk alerts, to autonomous trading agents. Define the vision, prioritize ruthlessly, and ship iteratively.
-
Translate complex AI capabilities into intuitive user experiences — Bridge the gap between LLM/Agent technology and real user needs; design product flows that make advanced trading intelligence accessible to both novice and expert traders.
-
Drive the full product lifecycle — Conduct user research, write detailed PRDs, collaborate with engineering on technical feasibility, run experiments, analyze data, and iterate based on real-world feedback and trading performance metrics.
-
Build deep domain expertise at the intersection of AI and trading — Stay on top of the latest developments in LLMs, AI agents (MCP, tool-use, ReAct loops), prompt engineering, and crypto market structure; translate emerging capabilities into product opportunities before competitors do.
-
Collaborate cross-functionally — Work with data scientists on model evaluation, with backend engineers on API and infrastructure design, with UX designers on interaction patterns, and with business teams on go-to-market strategy.
-
Shape the AI product strategy — Contribute to the broader AI trading vision, including platform-level decisions around open ecosystem (SDK/MCP), AI advisor, auto-execution, and user data leverage.
What We Look For In You
-
3+ years of product management experience, with at least 1 year focused on AI/ML-powered products (chatbots, recommendation systems, AI agents, copilots, or similar). Crypto/fintech product experience is a strong advantage.
-
Deep understanding of AI product paradigms — Ability to articulate the differences between RAG, fine-tuning, prompt engineering, and agent-based architectures, and know when to apply each. You have hands-on experience with LLM-based product design, evaluation, and iteration.
-
Strong technical intuition — Comfortable reading API documentation, discussing system architecture with engineers, understanding data pipelines, and prototyping with tools like Python, prompt playgrounds, or no-code/low-code AI platforms. You don't need to be a developer, but you think like one.
-
Genuine passion for crypto and trading — Actively uses crypto trading products, understand order types, market microstructure, and can explain how a grid bot or DCA strategy works. Ideally, you have skin in the game.
-
High agency and execution velocity — Thrive in ambiguity, move fast from "vague idea" to "shipped MVP", and are comfortable making decisions with incomplete information. You don't wait for permission; you build conviction and drive alignment.
-
Excellent communication skills — Ability to write a crisp PRD, present a compelling product strategy to leadership, and facilitate productive debates with engineers. You adapt your communication style across audiences and cultures.
-
Proficiency in Mandarin is required to communicate effectively with internal engineering and product stakeholders in the China-based R&D center.
Nice-To-Haves
-
Experience building AI agent or copilot products (multi-step reasoning, tool calling, autonomous execution).
-
Hands-on prototyping ability — you've used Python, Claude/GPT APIs, or similar tools to build working prototypes that validate product concepts.
-
Familiarity with trading bot products, quantitative trading strategies, or algorithmic trading systems.
-
Experience with MCP (Model Context Protocol), function calling, or AI SDK/platform product design.
-
Prior work in a high-growth crypto exchange, DeFi protocol, or fintech company.
-
Fluency in English is preferred to better support communication with global product and business stakeholders.
Perks & Benefits
-
Competitive total compensation package
- L&D programs and education subsidy for employees' growth and development
-
Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Ready to apply?
Apply to OKX
Who We Are
About The Opportunity
What You’ll Be Doing
-
Own the product roadmap for AI Trading features — From AI-assisted strategy recommendations, conversational trading interfaces, and intelligent risk alerts, to autonomous trading agents. Define the vision, prioritize ruthlessly, and ship iteratively.
-
Translate complex AI capabilities into intuitive user experiences — Bridge the gap between LLM/Agent technology and real user needs; design product flows that make advanced trading intelligence accessible to both novice and expert traders.
-
Drive the full product lifecycle — Conduct user research, write detailed PRDs, collaborate with engineering on technical feasibility, run experiments, analyze data, and iterate based on real-world feedback and trading performance metrics.
-
Build deep domain expertise at the intersection of AI and trading — Stay on top of the latest developments in LLMs, AI agents (MCP, tool-use, ReAct loops), prompt engineering, and crypto market structure; translate emerging capabilities into product opportunities before competitors do.
-
Collaborate cross-functionally — Work with data scientists on model evaluation, with backend engineers on API and infrastructure design, with UX designers on interaction patterns, and with business teams on go-to-market strategy.
-
Shape the AI product strategy — Contribute to the broader AI trading vision, including platform-level decisions around open ecosystem (SDK/MCP), AI advisor, auto-execution, and user data leverage.
What We Look For In You
-
3+ years of product management experience, with at least 1 year focused on AI/ML-powered products (chatbots, recommendation systems, AI agents, copilots, or similar). Crypto/fintech product experience is a strong advantage.
-
Deep understanding of AI product paradigms — Ability to articulate the differences between RAG, fine-tuning, prompt engineering, and agent-based architectures, and know when to apply each. You have hands-on experience with LLM-based product design, evaluation, and iteration.
-
Strong technical intuition — Comfortable reading API documentation, discussing system architecture with engineers, understanding data pipelines, and prototyping with tools like Python, prompt playgrounds, or no-code/low-code AI platforms. You don't need to be a developer, but you think like one.
-
Genuine passion for crypto and trading — Actively uses crypto trading products, understand order types, market microstructure, and can explain how a grid bot or DCA strategy works. Ideally, you have skin in the game.
-
High agency and execution velocity — Thrive in ambiguity, move fast from "vague idea" to "shipped MVP", and are comfortable making decisions with incomplete information. You don't wait for permission; you build conviction and drive alignment.
-
Excellent communication skills — Ability to write a crisp PRD, present a compelling product strategy to leadership, and facilitate productive debates with engineers. You adapt your communication style across audiences and cultures.
-
Proficiency in Mandarin is required to communicate effectively with internal engineering and product stakeholders in the China-based R&D center.
Nice-To-Haves
-
Experience building AI agent or copilot products (multi-step reasoning, tool calling, autonomous execution).
-
Hands-on prototyping ability — you've used Python, Claude/GPT APIs, or similar tools to build working prototypes that validate product concepts.
-
Familiarity with trading bot products, quantitative trading strategies, or algorithmic trading systems.
-
Experience with MCP (Model Context Protocol), function calling, or AI SDK/platform product design.
-
Prior work in a high-growth crypto exchange, DeFi protocol, or fintech company.
-
Fluency in English is preferred to better support communication with global product and business stakeholders.
Perks & Benefits
-
Competitive total compensation package
- L&D programs and education subsidy for employees' growth and development
-
Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
Ready to apply?
Apply to OKX
Software Engineering Intern (AI Taskforce)
Share this job
About the Role
In this role, you will support the development and adoption of AI-driven tools and solutions that improve internal workflows and team productivity. You will work closely with different teams to explore new technologies, build simple prototypes, support best practices, and help measure the impact of these solutions across the organization.
What You Will Do
- Support Agentic Workflows: Participate in the development of AI-powered automations that streamline internal engineering and operational processes — learning how these systems are designed and shipped end-to-end.
- Explore MCP & AI Tooling: Get hands-on experience with Model Context Protocol (MCP) servers and tools that connect AI agents to internal systems, APIs, and data sources.
- Support AI Adoption: Help teams integrate AI tools like Claude Code and Kiro into their daily workflows. Be the person who finds new ways to make things faster.
- Contribute to Governance & Security: Support the AI team in evaluating AI tools, documenting best practices, and helping establish guidelines for safe, responsible usage across the organization.
- Prototype & Learn: Build small internal tools, bots, or proof-of-concepts that demonstrate the potential of agentic AI — with guidance and mentorship from the team.
- Measure Impact: Help track and quantify efficiency gains from AI adoption — time saved, automation coverage, and developer experience improvements.
What We Are Looking For
- Agentic AI Curiosity: You have been tinkering with tools such as Claude Code, Cursor, Kiro, or similar AI-native development tools. You don't need to be an expert — but you should be excited about what these tools can do. You should aware how how such tools can have their capabilities expanded (e.g. through MCPs, Skills)
- The "100x" Mindset: You are obsessed with efficiency. You look at a 10-step manual process and immediately think about how to reduce it to one. You believe AI should be doing most of the repetitive work so humans can focus on what matters.
- Language Agnostic: You've tinkered with at least one backend language (e.g., Python, Go, TypeScript, Ruby) and are eager to learn whatever gets the job done.
- Tools: Familiarity with Git for version control.
- Mindset: A "can-do" attitude, a love for trying new AI tools the day they launch, a strong desire to learn, and the ability to communicate your ideas clearly.
- Bonus Points: Experience with workflow orchestration tools (n8n, LangChain, etc.), familiarity with LLM APIs, or an interest in Fintech, Crypto, or how money moves globally.
Ready to apply?
Apply to StraitsX
About the Role
In this role, you will support the development and adoption of AI-driven tools and solutions that improve internal workflows and team productivity. You will work closely with different teams to explore new technologies, build simple prototypes, support best practices, and help measure the impact of these solutions across the organization.
What You Will Do
- Support Agentic Workflows: Participate in the development of AI-powered automations that streamline internal engineering and operational processes — learning how these systems are designed and shipped end-to-end.
- Explore MCP & AI Tooling: Get hands-on experience with Model Context Protocol (MCP) servers and tools that connect AI agents to internal systems, APIs, and data sources.
- Support AI Adoption: Help teams integrate AI tools like Claude Code and Kiro into their daily workflows. Be the person who finds new ways to make things faster.
- Contribute to Governance & Security: Support the AI team in evaluating AI tools, documenting best practices, and helping establish guidelines for safe, responsible usage across the organization.
- Prototype & Learn: Build small internal tools, bots, or proof-of-concepts that demonstrate the potential of agentic AI — with guidance and mentorship from the team.
- Measure Impact: Help track and quantify efficiency gains from AI adoption — time saved, automation coverage, and developer experience improvements.
What We Are Looking For
- Agentic AI Curiosity: You have been tinkering with tools such as Claude Code, Cursor, Kiro, or similar AI-native development tools. You don't need to be an expert — but you should be excited about what these tools can do. You should aware how how such tools can have their capabilities expanded (e.g. through MCPs, Skills)
- The "100x" Mindset: You are obsessed with efficiency. You look at a 10-step manual process and immediately think about how to reduce it to one. You believe AI should be doing most of the repetitive work so humans can focus on what matters.
- Language Agnostic: You've tinkered with at least one backend language (e.g., Python, Go, TypeScript, Ruby) and are eager to learn whatever gets the job done.
- Tools: Familiarity with Git for version control.
- Mindset: A "can-do" attitude, a love for trying new AI tools the day they launch, a strong desire to learn, and the ability to communicate your ideas clearly.
- Bonus Points: Experience with workflow orchestration tools (n8n, LangChain, etc.), familiarity with LLM APIs, or an interest in Fintech, Crypto, or how money moves globally.
Ready to apply?
Apply to StraitsX
About us
The Role
Your role, first and foremost, is to help our customers solve their most important problems. As a Senior Forward Deployed Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.
Who We're Looking For
What a day might look like
Ready to apply?
Apply to PhysicsX
Product Security Engineer
Share this job
About the role
We are seeking a hands-on Security Engineer who thrives in a startup environment.
You'll work alongside product owners and engineers with the objective to secure the products in Startale's ecosystem. Products include a next-generation decentralized exchange with a fully on-chain order book (Strium), a user-facing application (StartaleApp) and a stablecoin (USDSC). This is a hands-on, technical role. You'll be the person who actively tests our systems, hunts for vulnerabilities, models threats against our products, and works with engineers to close the gaps — not the person who writes policies and generates reports. You'll report to the Security Lead and collaborate daily with Backend, Frontend, DevOps, and Blockchain engineering teams.
Why this role
- Startale's products handle user funds and on-chain transactions so security work has tangible impact.
- Owning the security posture of a project at scale and complexity such as Strium is an opportunity for professional growth.
- You will have direct influence over how product security is built across the organization.
- Focus is on driving product security and not on maintaining compliance documentation.
- Our team is backed by and partnering with leading Japanese enterprises so you will have a chance to work in a stable and well-funded company but with the autonomy and speed of a small team.
Key responsibilities
- Security Assessments & Penetration Testing: Conduct hands-on security testing of our applications, APIs, and infrastructure. Simulate real attack scenarios against our products. Find the vulnerabilities before external attackers or whitehat researchers do. Work with engineers to fix issues pragmatically.
- Threat Modeling: Build threat models for new services and features — especially Strium's trading engine, order book, and transaction flows. Identify attack surfaces, model adversary behavior, and define what needs to be hardened before launch.
- Vulnerability Triage & Remediation: Own the end-to-end lifecycle of findings — from discovery through severity assessment, developer-facing write-ups, remediation guidance, and verification of fixes. Coordinate with engineers so issues actually get closed.
- Vulnerability Disclosure & Bug Bounty: Manage incoming whitehat reports, validate findings by reproducing them, assess severity, communicate with researchers.
- AI Tools Security Support: Assess technical risks related to AI tools used within teams (such as data exfiltration, prompt injection, training-on-input), maintain security baselines for AI coding tools and review AI-powered internal tools.
Qualifications
Must-have
- 5+ years of hands-on experience with a focus on application security, penetration testing, or product security.
- Demonstrated ability to find vulnerabilities — through manual testing, architecture and/or code review, or creative attack simulation. You should be able to describe specific bugs you've found and how you found them.
- Practical experience with exchange or trading platform security — from a DEX (preferred) or DeFi protocol. You should understand order book mechanics, transaction flows, wallet security, and the threat landscape specific to trading infrastructure.
- Scripting and automation ability — you write tools and automate to scale security across the stack, not just audit and write reports.
- Experience triaging vulnerabilities and writing clear, actionable remediation guidance for developers.
- Strong written communication in English — you'll write tickets, assessment reports and researcher responses.
Strong plus
- Experience with cloud infrastructure security — least-privilege enforcement, network security, secrets management.
- Experience with container security — network policies, RBAC, pod security standards, image scanning, Dockerfile hardening, base image management.
- Ability to read and review code in at least one of: TypeScript/JavaScript, Solidity, Rust.
- Understanding of software supply chain security, including dependency risks, build integrity, and methods for tracking what components are included in shipped software.
- Experience managing or participating in a bug bounty program (e.g. Immunefi, HackerOne).
Domain plus
- Experience securing AI/LLM tooling in engineering teams — prompt injection risks, data leakage prevention, tool configuration hardening
- Japanese language ability (not required, but useful for company context)
Location / Timezone
- Strong preference for Tokyo-based or Singapore-based candidates - Startale office locations.
- Remote-friendly for exceptional candidates — must have 3+ hours overlap with Tokyo business hours (JST, UTC+9).
Target start date
- As soon as available; realistic target start of Q3 2026.
Target companies
Decentralized exchanges, DeFi protocols, blockchain security firms, L1/L2 chain security teams, or fintech companies with trading infrastructure. We're also open to strong AppSec engineers from cloud-native startups who have genuine interest in web3.
Ideal candidate
You're a hands-on security engineer who finds real vulnerabilities, not just runs scanners. You've secured a trading platform or exchange and understand the threats specific to financial infrastructure — order book manipulation, transaction signing, wallet compromise, front-running. You can take a system, map the attack surface, and come back with findings that matter. You write clear reports that engineers act on, and you know the difference between a theoretical risk and a real one. You're comfortable working independently in a fast-moving team where there's no playbook — you write the playbook.
Ready to apply?
Apply to Startale Group
Senior Penetration Tester
Share this job
Senior Penetration Tester
If you’re passionate about security and privacy, and want to use your offensive security skills to help safeguard private, uncensored access to the internet for millions of customers, we’d love to speak with you.
Who you are
You’re a natural at solving problems and identifying security weaknesses with deep expertise in application security and infrastructure, and you have experience working on teams that know how to remediate vulnerabilities you identified based on your recommendations. You aren’t afraid of change, and you ask the questions that need to be asked. A lack of clarity is something you can’t settle for, and you voice your concerns when the balance between effort and impact seems off.
As someone with an offensive security mindset, you know there are always vulnerabilities waiting to be found, and you’re naturally collaborative to help find and address them. You’re always willing to hear ideas from your colleagues. Likewise, you're willing to share your own knowledge and mentor others.
What you’ll do
As a senior individual contributor on our Offensive Security team, you’ll have a broad set of responsibilities including:
- Prepare and execute penetration testing projects of our assets, services and applications, either individually or as part of a team with members across various geographic locations such as Singapore, Hong Kong, London, Germany and Bucharest.
- We operate across a wide range of technologies, from client facing applications written in various languages for various platforms, to backend infrastructure and services, and router firmware. We provide an environment where you’ll be exposed to a wide range of technologies that form our tech stack.
- You’ll need a strong white-box testing methodology and the ability to identify bugs in source code to go along with good organization and communication skills when delivering penetration tests of our applications and services.
- Work closely with the engineering teams to provide expert guidance and advice on remediation of identified vulnerabilities
- Verify the existence of newly discovered vulnerabilities in our software stack, including triaging and verifying bugs from our bug bounty program and automated scanners, and develop novel attack vectors based on these
- Manage and support penetration testing services performed by outside vendors, from project inception, scoping, completion of the assessment, and finally, working with engineering teams to have the identified issues remediated
- Bring creative solutions to fruition for solving some of the complex security challenges faced by our organization, and provide security reviews on technical design documents for our solutions. Identify areas where automated testing can be done, then develop, maintain and continuously improve tools to support these automated tests
- Mentor, guide and support other team members using your strong technical knowledge
- Identify inefficiencies in the team’s workflow, suggest solutions and drive them to completion
This role focuses strongly on your ability to perform penetration testing (with a specialization in either desktop and server applications, infrastructure, and mobile apps, depending on your experience). To be a good fit for this role, you should be able to read source code in various languages, identify security weaknesses and vulnerabilities in various platforms and efficiently deliver security assessment projects while mentoring junior team members. Networking knowledge is critical to succeed in this role.
What you’ll bring
- Identify vulnerabilities, misconfigurations and deviations from best practices within applications by means of manual source code review, static code analysis, and/or fuzzing using Burp Suite, AFL or similar tooling. We expect vulnerabilities to be identified and exploited up to the levels of OSCP, OSWE or OSED
- Analyze application binaries, shared libraries, and browser extensions through the use of debuggers and reverse engineering tools to understand the components of the application and assess their security posture, as well as how they interact with the underlying operating system
- Experience writing scripts in languages such as: Python, bash, or Golang to showcase your proof of concepts
- Experience writing automation workflows such as Github Actions
- Provide mentorship and guidance to other team members and share knowledge and findings with them
- Good knowledge of:
- TCP/IP, IDS/IPS, firewalls, WAF, and web content filtering
- Cryptography: PGP, SSH, PKI
How you’ll succeed
- Your capacity to consistently identify security vulnerabilities and provide sound remediation strategies alongside our engineering teams is key to success in this role
- You’ll be assigned as a security lead across a number of our projects, and will need to mentor more junior team members and help them grow their skillset
- Your ability to design technical solutions while staying ahead of industry trends will help drive continued security improvement, especially when supporting secure engineering designs
Finally, candidates with strong experience in manual source code review and vulnerability research, or a strong track record in this area (e.g. CTFs, bug bounty program activity, published CVEs) are preferred.
How we’ll support you
We believe in fostering an environment that empowers decision-making at all levels. Our culture is rooted in the inverted pyramid approach, where the engineers, who have a deep understanding of the product and the customers, are the ones who have the knowledge and the authority to make impactful decisions.
- We prioritize treating every team member with respect and promote open and constructive feedback, ensuring a culture of trust and transparency
- We encourage learning through experimentation and provide a safe space for everyone to learn from their experiences
- Our managers are dedicated to facilitating career growth and creating an environment that attracts and supports talented engineers
#LI-PS1
Before you apply
- At the moment, we do not sponsor visas in the EU. For Hong Kong, we require at least two years of working experience and a university degree in a related field. For Singapore and the UK, we can only sponsor visas for mid-career or above.
- Please upload your resume as a PDF and do not include any salary or compensation information in it.
ExpressVPN is one of the world’s leading providers of online privacy and security services for consumers. Started in 2009, we’ve grown to have millions of active paying customers, a team of more than 700 people worldwide, and a brand recognized by hundreds of millions of people in 18 languages and more than a hundred countries. We see huge growth in our industry, and are gaining market share through strong execution.
Ready to apply?
Apply to ExpressVPNAt NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
Skills Required
- Pursuing a degree in Computer Science / Software Engineering
- Strong fundamentals in:
- Python
- data structures
- APIs / backend basics
- Hands-on experience building with modern AI tools, including:
- LLM APIs (OpenAI, Anthropic, or open-source models)
- Prompt engineering (structured prompts, iteration, testing)
- RAG (retrieval-augmented generation) or retrieval-based systems
- Working with real data (documents, APIs, datasets)
- Familiarity with:
- embeddings and semantic search
- vector databases (e.g., FAISS, Pinecone, etc.)
- frameworks like Lang Chain, Llama Index (or similar)
- Ability to explain your projects end-to-end (architecture, trade-offs, decisions)
- Curious, hands-on, and comfortable building in a fast-paced environment
This role is for candidates who have already built AI-powered applications, not just explored them
Scope of Work
- Build and iterate on AI-powered workflows using LLMs
- Design and implement RAG pipelines with real-world data
- Integrate AI models with APIs, backend systems, and enterprise data sources
- Work directly with real customers to:
- understand use cases
- deploy conversational AI solutions
- support implementation and adoption
- Build POVs (proof of value), demos, and prototypes to showcase product capabilities
- Translate business problems into working AI solutions
- Collaborate across sales, product, and engineering teams
- Operate at the intersection of sales and technology, supporting:
- client conversations
- solution positioning
- technical storytelling
- Continuously improve systems across:
- accuracy
- latency
What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!
Enjoy NICE-FLEX!
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
Ready to apply?
Apply to NICE
Backend Engineering Lead
Share this job
Trust is the first of a new breed of banks in Singapore – digitally native and focused on delivering a delightful customer experience. You will work in a fast-paced and collaborative environment to solve new and interesting challenges each day. Together with our Trust team, you will help shape the future of our bank.
As a Backend Engineering Lead you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.
Key Responsibilities
Technical Vision and Strategy
- Defines and communicates the technical vision and strategy for the engineering team, aligning it with overall business objectives.
- Evaluates emerging technologies and industry trends — including AI/ML capabilities, LLM-based tooling, and agentic frameworks — to inform technical roadmaps and architectural decisions.
Team Leadership and Mentorship
- Leads and mentors a team of engineers, fostering a culture of collaboration, innovation, and continuous learning.
- Provides guidance and support to team members, empowering them to grow both technically and professionally.
- Builds AI literacy across the team — ensuring engineers can effectively leverage AI-assisted development tools (code generation, automated review, test generation) while maintaining critical thinking about AI outputs.
- Coaches engineers on prompt engineering, AI pair-programming workflows, and when to trust vs. verify AI-generated code.
Project Management and Execution
- Manages technical projects from inception to delivery, overseeing planning, execution, and quality assurance processes.
- Coordinates with cross-functional teams, including product management, design, and QA, to ensure successful project outcomes.
- Incorporates AI-augmented estimation and planning tools where appropriate, while maintaining accountability for delivery commitments.
Architecture and Design
- Designs and implements scalable, maintainable, and extensible software architectures, considering factors such as performance, security, and scalability.
- Leads architectural discussions and collaborates with senior engineers to drive consensus on design decisions.
- Architects systems with AI integration patterns in mind — designing clean boundaries for AI/ML components, defining contracts between deterministic and probabilistic systems, and planning for model versioning, fallback strategies, and graceful degradation.
Technical Excellence
- Sets high standards for code quality, performance, and maintainability, and ensures adherence to best practices and coding standards.
- Conducts code reviews and provides constructive feedback to ensure the delivery of high-quality software solutions.
- Establishes guardrails and review standards for AI-generated code — ensuring it meets the same quality bar as human-written code, with particular attention to security, edge cases, and maintainability.
- Champions responsible AI practices: output validation, bias awareness, hallucination mitigation, and appropriate human-in-the-loop controls for critical paths.
Operational Ownership
- Takes end-to-end ownership of the systems the team builds — from deployment through production reliability, performance, and incident response.
- Drives operational maturity: SLOs/SLIs, alerting hygiene, runbook coverage, on-call readiness, and post-incident reviews that produce lasting improvements, not just action items.
- Ensures the team builds with production in mind from day one — observability, graceful degradation, and failure modes are first-class design concerns, not afterthoughts.
- Instils a "you build it, you run it" culture where engineers feel genuine accountability for what they ship and how it behaves under real-world conditions.
Problem-Solving and Decision-Making
- Demonstrates advanced problem-solving skills, leveraging deep technical expertise and critical thinking to address complex technical challenges.
- Makes informed decisions under uncertainty, weighing technical trade-offs and considering long-term implications.
- Knows when AI is the right tool for a problem and when it isn't — resists the pressure to "add AI" where simpler, more deterministic solutions are more reliable and cost-effective.
- Leverages AI-assisted analysis (log analysis, incident correlation, root cause detection) to accelerate debugging and reduce mean time to resolution.
Stakeholder Management and Communication
- Builds strong relationships with stakeholders, including product managers, business leaders, and other engineering teams, to understand requirements and priorities.
- Communicates technical concepts and project status effectively to both technical and non-technical stakeholders, adapting communication style as needed.
- Translates AI capabilities and limitations into business terms — sets realistic expectations around what AI can deliver, timelines for AI-powered features, and the ongoing cost of maintaining AI systems (compute, data quality, model drift).
- Educates stakeholders on the difference between demo-grade AI and production-grade AI, managing enthusiasm without stifling innovation.
Risk Management and Mitigation
- Identifies and mitigates technical risks proactively, anticipating potential issues and implementing contingency plans to minimize impact on project timelines and deliverables.
- Maintains a focus on security, privacy, and compliance requirements, ensuring that systems and processes adhere to relevant standards and regulations.
Continuous Improvement and Innovation
- Drives a culture of continuous improvement and innovation within the engineering team, encouraging experimentation, knowledge sharing, and adoption of new technologies.
- Promotes automation, tooling, and process enhancements to improve efficiency, reliability, and scalability of development workflows.
- Runs structured experiments with AI tools and workflows — measuring real impact on velocity, quality, and developer experience rather than relying on anecdotal evidence.
- Builds internal knowledge sharing around AI use cases, effective patterns, and lessons learned — creating a feedback loop that accelerates the team's AI maturity.
- Actively contributes to agentic AI workflows for automating repetitive engineering tasks (test generation, migration scripts, documentation, incident triage) while maintaining human oversight on critical decisions.
Leadership and Influence
- Leads by example, demonstrating integrity, accountability, and a commitment to excellence in all aspects of work.
- Inspires and motivates team members to achieve their full potential, fostering a positive and inclusive team culture.
- Positions the team as AI-forward without being AI-reckless — models the discipline of evaluating AI tools critically, adopting what works, and discarding what doesn't.
- Shapes the engineering organization's AI adoption narrative, contributing to company-wide standards, governance frameworks, and best practices for AI in production systems.
Role Specific Technical Competencies:
- Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
- Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.
Our Ideal Candidate:
- 10+ years of overall experience with the majority of this experience as an Engineering Lead or Manager.
- Experience working in Fintech / Financial organisations is an added advantage.
- At least 5 years of demonstrable leadership experience, at an individual team level and working across demographically distributed teams and organizational boundaries.
- Good experience in creating actionable strategies, with clear outcomes, and continuous measurement of progress.
- Ability to produce and communicate effective and insightful thought leadership on technical topics.
- Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
- Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.
- Ability to take ownership and deliver results in a challenging client-facing environment.
- A degree in a relevant area of study would be helpful but not mandatory
If you apply for a job with Trust or submit any personal information in connection with a possible job opportunity, you agree to our privacy notice for job applicants.
Come as you are! Trust is an inclusive and open-minded workplace. If you are good at what you do and care about doing a good job, that’s what we focus and want from you. So come as you are. 😊
Trust is an equal opportunity employer. We prohibit discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Trust are based on business needs, job requirements and individual qualifications, without regard to age, gender, physical ability, race, religion or belief, family or parental status, sexuality, or any other status protected by laws or regulations. We will not tolerate discrimination or harassment based on any of these characteristics. We encourage applicants of all ages.
Ready to apply?
Apply to Trust Bank
Technology Intern
Share this job
Trust is the first of a new breed of banks in Singapore – digitally native and focused on delivering a delightful customer experience. You will work in a fast-paced and collaborative environment to solve new and interesting challenges each day. Together with our Trust team, you will help shape the future of our bank.
As a Technology Intern, you will be part of Trust’s Engineering function and contribute to the design, development, and delivery of technology solutions across the bank. Depending on business needs and your interests, you may be placed in different teams such as Backend Engineering, Platform Delivery, or AI/Data Platforms. Team allocation will be decided closer to the internship start date.
You will work alongside experienced engineers in agile teams, gain exposure to modern tools and technologies, and make a tangible impact while learning how a digital bank operates at scale.
What You Will Do
- Contribute to real product or platform initiatives used by Trust customers and internal teams
- Work in agile, cross‑functional teams to design, build, test, and improve technology solutions
- Learn and apply modern software engineering, platform, and data concepts
- Collaborate with engineers, product owners, designers, and other stakeholders
- Ask questions, experiment, and continuously learn in a supportive environment
Who We’re Looking For
We are looking for interns who are curious, motivated, and excited about building technology.
You should have:
- Pursuing a degree in Computer Science, Information Systems, Engineering, Mathematics, Data, or related fields
- A genuine interest in technology and building software or platforms
- Keen interest in learning AI-native ways of working
- A proactive, curious mindset with a strong desire to learn and grow
- Persistence and a positive attitude when faced with challenges
- Willingness to ask questions and seek feedback
- Ability to work collaboratively with diverse teams
- Interest in FinTech or technology‑driven products
- Fundamental understanding of programming concepts
- Experience with any programming language (e.g. Java, Python, Kotlin, JavaScript, etc.)
- Familiarity with software development, data, or platform concepts is a plus, but not required
If this sounds interesting to you, don’t wait – apply now and get in touch with our recruiters to find out more.
We hope to be part of your exciting career journey!
If you apply for a job with Trust or submit any personal information in connection with a possible job opportunity, you agree to our privacy notice for job applicants.
Come as you are! Trust is an inclusive and open-minded workplace. If you are good at what you do and care about doing a good job, that’s what we focus and want from you. So come as you are. 😊
Trust is an equal opportunity employer. We prohibit discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Trust are based on business needs, job requirements and individual qualifications, without regard to age, gender, physical ability, race, religion or belief, family or parental status, sexuality, or any other status protected by laws or regulations. We will not tolerate discrimination or harassment based on any of these characteristics. We encourage applicants of all ages.
Ready to apply?
Apply to Trust Bank