Req ID: FEQ427R72
Location: Singapore

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients in Hong Kong to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Apache Spark™ programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, Java, or Scala.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and design.
• Proficiency in Cantonese is required as this role serves clients based in Hong Kong and involves direct customer communications in Cantonese

Req ID: FEQ427R72
Location: Singapore

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients in the Greater China Region to provide technical and business value in collaboration with Account Executives.
• Form successful relationships with clients in Greater China Region, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Apache Spark™.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Business proficiency in Mandarin and experience in the Greater China Region are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the Greater China Region customers in Mandarin for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions. 

Req ID: FEQ427R72
Location: Singapore

FEQ426R34

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients In Taiwan, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Apache Spark™.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Proficiency in Mandarin is required as this role serves clients based in Taiwan and involves direct customer communications in Mandarin

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.

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.

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)

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Trading Systems

The Role: Senior Software Engineer (Full Stack)

Our advanced trading platform sits at the intersection of crypto, equities, and prediction markets. One of the most technically ambitious trading environments being built today. As a Senior Software Engineer, you will design and implement a variety of software systems that motivate, execute, and settle what is shaping up to be the largest transfer of wealth from the past to the future.

We are looking for a talented software engineer that is focused and fascinated by the real time movement of price and value at wire speed across a global liquidity network of buyers and sellers.

Responsibilities:

• Conceive, assemble, and deliver the financial platform that meets the trading team’s functional and non-functional requirements
• Build out our global liquidity network at scale across key financial centers worldwide
• Cultivate best practices and collaborate with engineering teams structuring applications
• Realize and promote the domain model and architecture for our trading platform
• Leverage key software systems and services from across Gemini’s portfolio of exchange, settlement, and custodian technologies
• Own projects end to end  from design through delivery  working cross-functionally with product managers and stakeholders

Minimum Qualifications:

• Proficiency with Golang (preferred) or equivalent back-end experience in Java, Scala, or similar; strong back-end engineers with comparable experience will be considered
• Proficiency with TypeScript (React) for front-end development
• At least 6 years of experience in full-stack development, with a strong focus on design, development, and delivery of scalable, distributed systems
• Experience building microservices deployed on AWS and Kubernetes
• Track record of working with a distributed design and development effort
• Strong analytical and conceptual skills with solid organizational skills and attention to detail
• Engaging communicator with a knack for precision and conciseness
• Independent decision maker able to act decisively based on your domain expertise
• Understanding of communication protocols, specifically FIX, Websocket, REST and GraphQL

Preferred Qualifications:

• Understanding of centralized financial exchanges (CeFi)
• Understanding of central limit order books and other liquidity providers
• Experience at a startup or high-growth technology company; demonstrated ability to operate with ownership and autonomy
• Background in crypto, equities trading, or prediction markets

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

• Comprehensive health plans covered at 100% for employees and dependents
• Long-term incentive in the form of a new hire equity grant
• Paid Parental Leave
• Competitive paid time off

In Singapore, we have a hybrid work policy. Employees are expected to work from the office part of the week. We believe our hybrid approach increases productivity through more in-person collaboration where possible.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

The Role:

As a Senior Solutions Engineer, you will be a key driver of Neo4j’s growth by articulating business value, shaping solutions that address customer needs, and accelerating adoption within enterprises. You will engage in deep technical and business discovery, support the sales process through value-based selling, and collaborate with key partners, including hyperscalers (AWS, Azure, GCP) and strategic ISVs to drive joint go-to-market (GTM) initiatives, with opportunities to support customers and partners across APAC markets, including Korea (Korean language proficiency is a plus)

Responsibilities:

Sales Process & Customer Engagement:

• Lead technical discovery to understand customer challenges, pain points, and success criteria, ensuring solutions align with business objectives.
• Drive value-based selling, clearly articulating Neo4j’s unique differentiators and ROI to both technical and business stakeholders.
• Own the pre-sales engagement, delivering impactful presentations, live demonstrations, and competitive positioning.
• Map customer requirements to relevant Neo4j product capabilities, using whiteboarding, workshops, and tailored solution architectures.
• Develop proof-of-value (PoV) demonstrations and prototypes that showcase tangible business outcomes.
• Work closely with the sales team to support deal qualification, opportunity progression, and conversion strategies.
• Ensure smooth handoff to Professional Services, providing knowledge transfer to consulting teams and industry partners for successful implementation.

Partner & Ecosystem Collaboration:

• Work closely with key partners, including hyperscalers (AWS, Azure, GCP), ISVs, and system integrators, to drive joint solutions and co-sell initiatives.
• Develop and deliver enablement programs for Neo4j’s strategic partners, ensuring they have the technical skills and sales acumen to position Neo4j effectively.
• Collaborate on GTM strategies, helping design solutions that leverage hyperscaler services (e.g., AWS Neptune, Azure Cosmos DB, Google BigQuery) in combination with Neo4j to meet customer needs.
• Engage with partner sales and technical teams to drive adoption, influence deal cycles, and execute joint marketing initiatives.

Community & Thought Leadership:

• Support local marketing events, user groups, and Neo4j Community initiatives.
• Contribute to Neo4j’s thought leadership, delivering webinars, writing technical blogs, and speaking at industry conferences.

Relevant Skills and Experience:

• Deep expertise in value selling, with a strong understanding of the sales process and how to align solutions with customer business goals.
• Experience in technical discovery, consultative solutioning, and mapping customer needs to technology capabilities.
• Graph database expertise (Neo4j, OrientDB, JanusGraph, etc.), along with knowledge of relational/NoSQL databases, analytics, and data integration.
• Strong experience working with hyperscalers (AWS, Azure, GCP), including understanding of their data services and GTM strategies.
• Proficiency in Java, Python, JavaScript, Docker, Kubernetes, and cloud infrastructure technologies.
• Knowledge of data visualization tools (D3.js, Sigma.js, Linkurious, etc.).
• Excellent presentation and communication skills, capable of engaging technical teams, C-level executives, and partner organizations.
• Ability to work in fast-paced, sales-driven environments, managing multiple customer and partner engagements.
• Industry experience in Financial Services, Retail, Government, Security, or Telecommunications is a plus.
• Korean language proficiency is a plus, particularly for supporting customers and partners in the Korea market

Qualifications:

• 7+ years of pre-sales, professional services, or customer-facing technical experience.
• Bachelor’s or Master’s degree in a relevant field.
• Experience working with partners, including hyperscalers, ISVs, and system integrators.
• Ability to work independently in a cross-functional, global organization.
• Willingness to travel as needed for customer and partner engagements.

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way.   

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
• Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
• Write automation and design architecture for deployment templates 
• Manage the operation of implementation projects 
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
• Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc…
• Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc
• Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Enterprise Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• 5+ years in Sales Engineering, Solutions Engineering, DevOps/SRE, or Platform Engineering, ideally in a customer-facing role
• Hands-on experience with at least one major cloud (AWS, Azure, or GCP) and modern app stacks (Containers/Kubernetes, microservices, CI/CD)
• Proficient in at least one programming/scripting language (e.g. Java, Python, Go, .NET, JavaScript/Node.js, Ruby, PHP)
• Familiar with observability and/or security tooling (metrics, logs, traces, RUM, SIEM, CSPM, etc.); experience with Datadog or similar platforms is a plus
• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute evaluation plans that clearly articulate both the business value (value proposition) and technical advantages of our offering
• Comfortable working across diverse cultures; fluent English required. Proficiency in an additional ASEAN language is advantageous — particularly Cantonese, as the role involves direct customer communication in Hong Kong.
• Open to frequent travel to Hong Kong and other locations (via road, train, or air), with travel expected up to 45% of the time.
• Able to sit up to 4 hours, traveling to and from client sites 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Enterprise Sales Engineer

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• You have business-level fluency, both in verbal and written communication, in Bahasa Indonesia as you will be working with customers speaking this language and you are comfortable in English as this is our company's day to day communication language.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Enterprise Sales Engineer

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• You have business-level fluency, both in verbal and written communication, in Bahasa Indonesia as you will be working with customers speaking this language and you are comfortable in English as this is our company's day to day communication language.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• 5+ years in Sales Engineering, Solutions Engineering, DevOps/SRE, or Platform Engineering, ideally in a customer-facing role
• Hands-on experience with at least one major cloud (AWS, Azure, or GCP) and modern app stacks (Containers/Kubernetes, microservices, CI/CD)
• Proficient in at least one programming/scripting language (e.g. Java, Python, Go, .NET, JavaScript/Node.js, Ruby, PHP)
• Familiar with observability and/or security tooling (metrics, logs, traces, RUM, SIEM, CSPM, etc.); experience with Datadog or similar platforms is a plus
• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute evaluation plans that clearly articulate both the business value (value proposition) and technical advantages of our offering
• Comfortable working across diverse cultures; fluent English required. Proficiency in an additional ASEAN language is advantageous
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Senior Data Engineer on our Data Experience team, you will play an integral role in bringing vendor datasets into our data platform, governing our centralized data pipelines, consolidating data delivery infrastructure across disparate systems, and working alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools.

Technical requirements summary:

• Have extensive experience designing and building data pipelines
• Have experience working within modern batch and streaming data ecosystems
• An expert in SQL and Java or Python
• Extensive knowledge of data modeling techniques
• Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions
• Able to contribute to project management and project reporting
• Have experience driving nontrivial data migrations across platforms
• Able to establish, follow, and enforce data modeling standards across a large ecosystem.

What you will do in this role:

• Model, build, and manage data products built atop DRW’s Unified Data Platform.
• Work closely with Data Strategists to determine appropriate data sources and implement processes that onboard and manage new datasets for trading, research, and back-office purposes.
• Design data governance processes that enable discovery, cost-sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies.
• Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Design monitoring and quality control software and processes.
• Own the technical aspects of vendor ingestion pipelines, coordinating with vendor relationship managers on upcoming changes, performing routine data operations without breaking internal users, and contributing to the team’s on-call rotation to respond to unanticipated changes.
• Rapidly respond to user requests, identifying platform gaps, and self-service opportunities that make the user experience more efficient.

What you will need in this role:

• 7+ years of experience working with modern data technologies and building data-first products.
• Excellent written and verbal communication skills.
• Proven ability to work in a collaborative, agile, and fast-paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment.
• Proven ability to deliver rapid results within processes that span multiple stakeholders.
• Strong technical problem-solving skills.
• Extensive familiarity with SQL and Java or Python, with a proven ability to develop and deliver maintainable data transformations for production data pipelines.
• Experience leveraging data modeling techniques and ability to articulate the trade-offs of different approaches.
• Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.).
• Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs.
• Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.).
• Experience managing data pipeline orchestration systems (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.), delving deeply into low-level details.
• Proven experience in managing the operational aspects of large data pipelines such as backfilling datasets, rerunning batch jobs, monitoring event throughput, and handling dead-letter queues.
• Prior experience triaging data quality control processes, correcting data gaps and inaccuracies.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

#LI-Onsite

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

#LI-Onsite

#LI-Remote

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

Job responsibilities

Job qualifications

Other things to know

Responsible Use of AI in Recruitment

About Thoughtworks

#LI-Onsite

As we scale, we are looking for quantitative traders to monetise opportunities on exchanges, price our OTC franchise, manage risk, develop and deploy models. This is a high impact role at the cutting edge of digital asset trading.

Duties and Responsibilities:

• Design, manage, optimise strategies used to make markets on crypto exchanges
• Manage pricing and liquidity provision to OTC customers
• Responsibility for the PL of team and individual strategies
• Develop and improve the models and strategies using quantitative methods
• Collaborate with Quant Dev and Research during the full lifecycle of alpha and signals development and deployment
• Conduct research and data analysis on bespoke trading data

Valued Skills

• University degree in a numerical degree, strong grades
• 3 years+ experience with OTC and/or systematic trading
• Proficiency in Python and data analysis
• Practical experience with C++ / Java or any other OOP
• Knowledge of exchange microstructure and low latency trading

Valued Personal Attributes

• Ability to work in a fast-paced fluid environment
• An entrepreneurial mind set and a natural intuition for risk
• Excellent teamwork and clear communication skills
• Someone that thrives when given the space and opportunity
• Willingness to learn and develop new skills
• Wide awareness of risk (market/liquidity/reputational/legal/compliance/etc)

About OKX:

About the team:

As a mobile software engineer, you will build and maintain a core OKX app with millions of daily active users. You will work cross-functionally with design, product and other engineering teams to identify customer needs, and ship high-quality new features through fast iterations. This is an opportunity to learn the full life cycle of crypto mobile applications including pro/retail trading, asset management and wallet.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe offers an interesting middle ground between joining a small startup and going to work for a multinational company. We have systems and processes optimized for early-career professionals. You will be in an environment that prizes rigor, discipline, and reliability—from our products, from our ways of working, and from our colleagues. You will learn how the best teams put together extremely reliable systems, and you will be responsible for operating these systems, with adequate backup when things get tough.

What you’ll do

As a company, we believe in end-to-end ownership of projects. For any given project, we have one person on point. While they don't necessarily have to do all the work themselves, it's their job to make sure all the work gets done. We launch betas and prototypes as early as we can. This helps ensure that we're building what users actually want. We contribute back to the community, often by building things we think are cool and by releasing open-source software.

Responsibilities

• Work on cross-functional projects, directly collaborating with other engineers
• Give meaningful feedback on code reviews and technical designs
• Ensure that the systems your team operates continue running well and can scale to meet the needs of our users
• Build the skills to own a project from beginning to end, learning project management and technical leadership skills

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• A Bachelor’s, Master’s, or PhD degree in computer science or a directly related field, obtained by summer 2026, or equivalent work experience
• Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present
• Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting)
• Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

Preferred qualifications

• One or more areas of specialized knowledge balanced with general skills and knowledge, such as knowing more frontend technologies and, at a high level, how a service handles an HTTP request
• Experience in code review practices, and an understanding of how to safely update production systems
• Familiarity with navigating and managing work in large code bases

Role Summary and Impact 

We're on a mission to democratize AI across our analytics team, and we need a trailblazing leader to helm this effort. As the Data Analytics and BI lead, you'll develop and execute a strategy to enable our analytics team members with AI capabilities, empowering them to drive business growth and deliver exceptional client value.

Skills and Experience 

What you will do:

• Develop AI enablement strategy: Create a comprehensive plan to upskill and reskill our analytics team members with AI capabilities, aligning with business goals and objectives.
• Design and deliver AI training programs: Collaborate with internal stakeholders to design and deliver training programs that cover AI fundamentals, machine learning, and data science.
• Develop AI-powered tools and platforms: Lead the development of AI-powered tools and platforms that augment our analytics team's capabilities, driving efficiency, accuracy, and innovation.
• Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
• Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.

Role requirements:

• Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Experience: 10+ years of experience in AI engineering, with 5+ years in a leadership role.
• Technical expertise: Strong background in AI, machine learning, and software engineering, with experience in languages such as Python, Java, or C++.
• Knowledge of cloud-based AI platforms: Experience with cloud-based AI platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
• Leadership skills: Proven track record of leading high-performing teams, with excellent communication, mentoring, and project management skills.
• Business acumen: Understanding of business operations, market trends, and the media industry.
• Please note the team will be prioritizing applicants who are already based in Singapore for this role.

Nice to have:

• Experience with media analytics: Familiarity with media measurement, data analytics, and advertising technology.
• Certifications in AI or machine learning: Certifications such as Certified Data Scientist or Certified Machine Learning Engineer.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, 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 particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. 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 read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. 

While we appreciate all applications received, only those candidates selected for an interview will be contacted.  

#LI-Promoted

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.

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.

AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles.  We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.

 

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

 

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.

 

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.  If you’re applying for a position in California, learn more here.

 

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

---

Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information. 

 

 

 

 

             

The Role

We are looking for passionate Android Mobile Engineers to help build a next-generation social media platform.

Our goal is to empower users and creators to share meaningful content, connect in real time, and build vibrant communities directly from their smartphones. You will play a critical role in shaping core user experiences, including content creation, video editing tools, interactive features, and real-time communication.

This is a high-impact 0→1 opportunity within a fast-moving R&D environment.

Responsibilities

• Design and implement scalable architecture and core mobile features for complex applications
• Collaborate closely with product and design teams to deliver intuitive, high-quality user experiences
• Optimize the performance, reliability, and scalability of the Android application
• Maintain clean, scalable architecture and high engineering standards
• Ship reliable, high-quality code in a fast-paced iteration cycle

The Impact You’ll Make

• Shape the mobile foundation of a new creator ecosystem
• Empower users to create and share high-quality content
• Drive retention and engagement through interactive features
• Establish scalable Android architecture for long-term product growth

Minimum Qualifications

• BS/MS degree in Computer Science or a related field
• 1+ year of native Android development experience
• Strong proficiency in Kotlin and/or Java
• Deep understanding of the Android SDK and modern architecture patterns
• Experience debugging and maintaining large-scale mobile codebases
• Strong knowledge of performance optimization and Android platform capabilities
• Excellent communication and cross-functional collaboration skills
  
  

Preferred Qualifications

• Experience building consumer-facing mobile products at scale
• Experience working on:
• Video editing or media processing features (encoding, rendering, filters, trimming, etc.)
• UGC-based platforms or creator tools
• Real-time messaging or chat systems (WebSocket, RTC, push systems)
  
  
• Experience in large-scale internet or high-growth tech companies
• Experience supporting experimentation and rapid iteration
• Passion for building products in 0→1 environments
  
  

Why Join This Venture

• Build a creator-focused platform backed by AppLovin’s AI and monetization expertise
• High ownership and direct impact on a strategic growth initiative
• Startup agility with enterprise-level infrastructure
• Opportunity to work on content, community, and real-time interaction at scale

AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles.  We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.

 

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

 

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.

 

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.  If you’re applying for a position in California, learn more here.

 

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

---

Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information. 

 

 

 

 

             

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.

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

The Role

We are looking for one of our first engineering hires in Singapore — a Forward Deployed Engineer (FDE) who will play a critical role in shaping Addepar’s growth in the region.

Forward Deployed Engineers partner directly with key technical and strategic stakeholders at Addepar’s largest enterprise clients. From building custom data integrations to extending platform capabilities, FDEs operate with autonomy and ownership to deliver meaningful impact for our clients.

At Addepar, FDEs are not part of a services organization. Instead, they act as an extension of the platform, partnering with clients in a highly collaborative way, focused on outcomes rather than billable hours. You will join a global FDE team that continuously evaluates opportunities and priorities, ensuring we are solving the most important and impactful problems for our clients.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment.

What You’ll Do

• Work in small, agile teams with minimal supervision, setting priorities and managing client interactions.
• Take full responsibility for the end-to-end delivery of high-value projects.
• Gain exposure to a wide variety of technical challenges, new technologies, and complex problem-solving opportunities.
• Turn lessons learned from client engagements into scalable, long-term solutions.
• Collaborate closely with Addepar’s engineering and product teams to share insights, inform design strategy, and contribute directly to our core product.
  
  

Who You Are

• Minimum 4+ years of experience as a professional Software Engineer.
• Proficiency in one or more object-oriented programming languages (Java and/or Python preferred), and/or compiled languages (Go, Rust, Scala preferred).
• Experience building systems with relational or NoSQL database storage.
• A degree in Computer Science, Software Engineering, Mathematics, or another technical field, paired with professional software engineering experience.
• Strong ability to lead complex projects, manage timelines, and build strong working relationships.
• Comfortable working in cross-functional and collaborative team environments.

Nice to Have:

• Experience in one or more strongly typed server-side programming languages (e.g., Java, C++).
• Experience with distributed storage and execution frameworks (e.g., Arrow, Spark, Flink, Storm).

Why Join Us

This is a unique opportunity to be one of the first engineers at Addepar Singapore. You’ll have the chance to build innovative solutions for global clients, influence how we grow our presence in Asia, and collaborate with world-class teams across our international offices.

About the Job:

As a Senior Solutions Engineer, you will be the technical partner to Account Executives, helping LaunchDarkly land and expand enterprise customers across the Singapore Market

You will guide technical discovery, deliver compelling demonstrations, lead proof-of-value engagements, and help customers understand how LaunchDarkly enables safer, faster software delivery. This role combines deep technical expertise with strong business acumen and the ability to translate complex technology into real business outcomes.

You’ll work closely with engineering leaders, architects, and DevOps teams at large enterprises to help them modernize their software delivery practices.

Responsibilities:

Partner with Sales to Win Enterprise Deals

• Work closely with Account Executives to qualify opportunities and develop technical account strategies.
• Help customers understand how feature management and progressive delivery can transform software delivery.
• Participate in complex enterprise sales cycles and help secure technical wins.

Lead Technical Discovery and Solution Design

• Engage with engineering leaders, platform teams, and architects to understand their software delivery challenges.
• Design solutions that demonstrate how LaunchDarkly integrates into modern development environments.
• Align technical solutions with customer business objectives.

Deliver High-Impact Demos and Proof of Value

• Conduct compelling product demonstrations that highlight real customer value.
• Lead technical evaluations including proof-of-concepts, workshops, and hands-on trials.
• Guide customers through the evaluation process and ensure successful outcomes.

Build Champions and Trusted Relationships

• Develop strong relationships with both technical and business stakeholders.
• Enable customer champions who can advocate for LaunchDarkly internally.
• Support customers throughout the evaluation process and beyond.

Be a Technical Thought Leader

• Stay up to date on trends in DevOps, CI/CD, feature management, AI-driven development, and modern software architecture.
• Confidently communicate technical and business value to a range of audiences from developers to executives.

Collaborate Across Teams

• Partner with Sales, Customer Success, Product, and Engineering to ensure successful customer outcomes.
• Provide feedback from the field to help shape the product roadmap.

Qualifications:

• 8+ years of experience in Sales Engineering, Solutions Engineering, or Technical Pre-Sales in enterprise SaaS.
• Experience working with enterprise development teams and technical stakeholders.
• Strong understanding of modern software development practices, including:
• • CI/CD
  • DevOps
  • Infrastructure as code
  • Feature flags and progressive delivery
• Proven ability to run technical demos, workshops, and proof-of-concept engagements.
• Excellent communication and presentation skills.
• Experience supporting complex enterprise sales cycles.
• Background in software engineering, DevOps, SRE, or platform engineering.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Kubernetes and microservices architectures.
• Programming experience in languages such as Java, Python, Go, Node.js, or .NET.
• Experience supporting enterprise deals in large organizations (F500 / G2000).

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

FEQ427R102

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients throughout Vietnam, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Proficiency in the Vietnamese language is required as this role serves clients based in Vietnam and involves direct customer communications in the Vietnamese language.

Who We’re Looking For

This Role

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

APPLICATION / TECHNOLOGY DELIVERY MANAGER

Important Information

Location: Singapore

RESPONSIBILITIES:

• Work with a team of subject matter experts, business analysts, architects and software developers to deliver projects and change requests. Provide solutions, cost estimates, functional and design specifications
• Manage business stakeholder’s expectation and establish best or alternative solutions that are feasible within the technology and timeline constraints 
• Review solution design and effort estimates from the team and prioritize projects and change requests assigned to the team
• Drive consistency in solution design and delivery across applications and development teams
• Manage delivery of initiatives – projects and change request. Responsible for planning, manage vendor and in-house development, solutioning, implementing and maintaining software applications systems. 
• Drive adoption of methods (E.g. Agile) and industry practices to improve quality and productivity outcomes
• Select, train, develop and manage technical team members in a conducive team environment
• Lead multi-vendor teams to successfully deliver solutions, manage multi-vendor teams to work amicably to support the bank’s commitments
• Work with Test manager to formulate comprehensive system test plan aligned with project scope/Change request, quality requirements and targets
• Anticipate and resolve any development issues or risks either independently or together with the relevant stakeholders and propose alternative solutions as necessary
• Resolve issues ensuring escalation and communication to stakeholders as necessary
• Lead or contribute to cross-team improvement initiatives relating to methods, tools, people, architecture, project management and governance

REQUIREMENTS:

• Strong IT delivery experience implementing large‑scale, highly available applications, preferably in payment processing, entitlements, and orchestration solutions.
• At least 10–15 years of experience in application development and maintenance, with full SDLC exposure, including hands‑on systems development, coding, writing functional/technical specifications, and testing.
• Solid foundation in service‑oriented technologies, capable of understanding service interdependencies and driving technical solutions for multi‑tiered systems.
• Hands‑on experience in Core Java and integrating open‑source libraries.
• More than 10 years of experience in designing, developing, and implementing applications using microservices architecture, RESTful APIs, and container technologies.
• Strong application performance tuning skills, including optimizing garbage collection, JBoss EAP setup, and MQ configuration for peak performance
• Good understanding of various software development methodologies and experience transitioning from Waterfall to Agile.
• Exposure to technologies including Java, Oracle, WebLogic/JBoss, Unix, OCP Platfiorms and MQ/ConnectDirect messaging.
• More than 5 years of experience:
  • Managing third‑party vendor relationships and offshore development teams to achieve business outcomes.
  • Operating at a manager level (or above) delivering global IT capabilities for a multinational company with budget responsibilities.
• Proven results‑oriented individual with strong delivery focus.
• Experience implementing and integrating third‑party solutions is preferred.
• Domain knowledge in Transaction Banking, Cash Management, and Payments is required.
• Strong understanding of payment rails and clearing systems, including:
  • RTGS (Real Time Gross Settlement)
  • MEPS+
  • Telegraphic Transfers (TT)
  • Cross‑border payments (e.g., SWIFT, correspondent banking)
• Knowledge of payment message formats and standards, including:
  • ISO 20022 (pain/pacs/camt)
  • SWIFT MT series
• Ability to understand end‑to‑end payment flows, settlements, exceptions, and integration touchpoints across upstream and downstream systems.
• Experience with compliance and regulatory requirements related to payments (sanctions, AML screening, purpose codes, reporting) is advantageous.
• DevOps pipelines, CI/CD, and deployment workflows using Kubernetes, Kafka, Git, and JIRA‑based processes

KEY DOMAINS:

• Strong understanding of payment rails and clearing systems, including:
  • RTGS (Real Time Gross Settlement)
  • MEPS+
  • Telegraphic Transfers (TT)
  • Cross‑border payments (e.g., SWIFT, correspondent banking)
• Knowledge of payment message formats and standards, including:
  • ISO 20022 (pain/pacs/camt)
  • SWIFT MT series
• Knowledge in digital assets like tokenized assets / deposits, stablecoin and wallets build using DLT/Blockchain technologies is preferred

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

On Demand Administrator

Important Information 

Location: Singapore

Job mode: Contract

 Job Summary:

We're seeking an experienced CMOD Administrator to manage our Content Manager OnDemand infrastructure, support report offloading and mainframe onboarding, and drive automation and process improvements.

Key Responsibilities:

- Manage CMOD hardware, software, reports, and users

- Support EOSA report offloading and mainframe onboarding

- Automate repeated tasks using scripts (Shell, Python)

- Manage hardware and software infrastructure

- Install, configure, and maintain CMOD and related software

- Monitor and maintain DB, cache storage, and archive storage

- Automate DB and storage housekeeping activities

- Define report indexing, storage sets, and workflows

- Create and maintain application groups, applications, and folders

- Manage backup, recovery, and tuning of CMOD systems

- Resolve CMOD issues and handle SRs and production incidents

- Perform system analysis and recommend process improvements

Technical Competencies:

- CMOD, ODF, ERM, ODWEK, CMOD indexing

- Shell, Java, PowerShell, NodeJS, Python

- Databases: Oracle, DB2, MariaDB, MySQL

- RESTful APIs

- Tools: GIT, Jenkins, JIRA, Nexus, SonarQube, Bitbucket

Requirements:

- Strong CMOD administration experience

- Experience with scripting and automation

- Knowledge of databases and RESTful APIs

- Experience with DevOps tools (GIT, Jenkins, etc.)

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. 

Cyber Security Engineer – IAM (SailPoint Implementation) 

Important Information

Location: Singapore

Mandatory Skills / Requirements

• Strong hands-on SailPoint implementation (IdentityIQ and/or IdentityNow) including application onboarding, connectors, identity lifecycle (Joiner-Mover-Leaver), access certification campaigns, role modeling/mining, SoD policy configuration, and production rollout
• IAM / IGA engineering beyond operations/support including identity lifecycle management, RBAC/ABAC models, access governance processes, and identity provisioning architecture
• Integration of SailPoint with enterprise systems such as Active Directory, HR systems (Workday/SAP/Oracle), databases, cloud platforms, and enterprise applications
• Hands-on development/customization within SailPoint including rules, workflows, connectors, APIs, and troubleshooting identity provisioning issues
• Security solution rollout from POC to full deployment, including UAT execution, migration planning, and stakeholder coordination
• Identity governance functions including access reviews, certification campaigns, role lifecycle management, and audit readiness
• Experience supporting security and compliance frameworks (ISO 27001, SOX, NIST, or internal audit controls) related to identity governance
• Strong understanding of authentication, authorization, SSO, federation (SAML/OAuth/OIDC) and directory services
• Scripting and integration knowledge (Java, BeanShell, PowerShell, REST APIs) for SailPoint customization
• SailPoint certifications preferred

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

• 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

• 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

FEQ427R102

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients throughout Indonesia, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Proficiency in the Bahasa Indonesian language is required as this role serves clients based in Indonesia and involves direct customer communications in the Bahasa Indonesian language.

As we scale, we are looking for quantitative traders to monetise opportunities on exchanges, price our OTC franchise, manage risk, develop and deploy models. This is a high impact role at the cutting edge of digital asset trading.

Duties and Responsibilities:

• Design, manage, optimise strategies used to make markets on crypto exchanges
• Manage pricing and liquidity provision to OTC customers
• Responsibility for the PL of team and individual strategies
• Develop and improve the models and strategies using quantitative methods
• Collaborate with Quant Dev and Research during the full lifecycle of alpha and signals development and deployment
• Conduct research and data analysis on bespoke trading data

Valued Skills

• University degree in a numerical degree, strong grades
• 3 years+ experience with OTC and/or systematic trading
• Proficiency in Python and data analysis
• Practical experience with C++ / Java or any other OOP
• Knowledge of exchange microstructure and low latency trading

Valued Personal Attributes

• Ability to work in a fast-paced fluid environment
• An entrepreneurial mind set and a natural intuition for risk
• Excellent teamwork and clear communication skills
• Someone that thrives when given the space and opportunity
• Willingness to learn and develop new skills
• Wide awareness of risk (market/liquidity/reputational/legal/compliance/etc)

Overview

The Trading Engine sits at the core of the BitMEX platform and handles all brokerage and trading aspects. The Trading Engine team is responsible for order management, risk management, position keeping, PNL calculations, market data distribution, order matching, and settlement.

We are building a best-in-class engineering team to help us scale the BitMEX trading platform to millions of users and millions of transactions per second, and grow an innovative set of new products. We are looking for strong technologists to join our lean core team with a keen interest in building the next generation of electronic trading systems.

Key Responsibilities

• Ownership in the design, development and delivery of trading system components
• New feature implementation, bug fixing, and performance tuning
• Partner with Financial Products and quantitative researchers on product delivery
• Mentor team members and drive firm initiatives

Requirements

• 8+ years programming experience writing high-performance Java applications
• Experienced in developing low latency trading systems
• Bachelor's degree in a Computer Science or similar STEM discipline
• Experience in a related industry, such within a Hedge Fund, Investment Bank, or an Exchange developing financial trading applications
• Understanding of the modern software development fundamentals and testing practises inclusive of TDD and BDD
• Understanding of design patterns and object-oriented programming such as SOLID, with in-depth understanding of algorithms and their complexities 
• Understanding of the Java Memory Model and concurrency in practise
• Demonstrable analytical and problem solving skills, with an ability to break larger problems down and turning complex problems into simpler abstractions
• Genuine passion for software development, and a keen lifetime learner who puts quality over quantity

Nice to have

• Experience in development of execution algos and risk management systems
• Finance knowledge in FX/Crypto spot and derivatives markets
• Basic understanding of mathematics
• Working knowledge of the KDB/q language 
• Working knowledge of containerisation using Docker/Kubernetes 
• Experience with REST/WS, FIX or any other financial protocols

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

We provide flexible arrangements to our remote contract talents with:

• Work from home to help you find the perfect balance between work, family and personal life
• Paid holidays and leave so you won’t miss out any important events
• Team building & offsite events to bring our global team closer
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Option to choose to be paid in fiat or crypto currency, providing the flexibility to shape your financial freedom

Company Description:
The Tudor Group of companies is a group of affiliated companies engaged in investment management of client and proprietary assets.  Paul Tudor Jones II formed Tudor Investment Corporation, the first of the Tudor Group companies, in 1980.  The Tudor Group manages assets across fixed income, commodities, currencies, public and private equities, and related derivative instruments.  The investment strategies of the Tudor Group include, among others, discretionary global macro, quantitative global macro, quantitative equity market-neutral, and equity long-short.

Tudor offers summer internships to exceptional undergraduate, graduate and PhD students who are interested in applying their unique skills and backgrounds to the financial markets. Internship opportunities are available across our Revenue and Infrastructure departments (including Macro Trading, Flow of Funds, Software Development, Operations, Corporate Financial Reporting). The internship role availability also spans across the firm’s global offices. There is a minimum commitment of 10 weeks during summer. 

Program Highlights

Tudor’s internship program is structured to provide interns with both a practical hands-on learning experience and exposure to the various functions within a diverse, global macro strategy alternative investment firm. As a Tudor summer intern, you will have a unique opportunity to work at an intersection of investment management, quantitative analysis, and technology, and will work alongside some of the brightest minds in the industry, gaining first-hand knowledge of how a world-class alternative asset management firm operates. You will have the ability to build upon your technical skills and industry knowledge while gaining exposure to the firms’ senior business leaders. You will learn about the firms’ history, structure, culture, and core values; receive instruction from experienced members of the financial services community and attend social and networking events with peers and Tudor professionals.  

 Education and Skill Requirements:

• Bachelors, Masters, or PhD candidate with desire to work in the financial industry – Technical and quantitative majors/areas of focus are highly preferred for the select Revenue roles.
• Prior to the start of your summer internship at Tudor, you must have completed at least two (2) years of undergraduate studies
• A minimum cumulative GPA of 3.5
• Proficient in MS Office Suite (most specifically, Excel)
• Strong problem solving and quantitative skills
• High degree of intellectual curiosity
• Ability to communicate effectively in both verbal and written form
• Well-organized, detail-oriented, and able to focus in a dynamic environment
• Ability to prioritize and manage workload
• Hard-working, diligent, and eager to learn in an intellectual and collaborative environment
• Strong intuition and an ability to quickly learn new concepts in a fast-paced environment
• Personal accountability and strong work ethic
• Technical proficiency in one of more of the following programming languages (C++, Python, R, Java, MATLAB) are highly preferred for the select Revenue roles. 

Salary (for internships based in the U.S.):

Compensation for interns at Tudor has typically ranged from $35 to $55 per hour, with the actual salary dependent on various factors including, but not limited to, a candidate’s education level, work experience and credentials, and/or skill level, geographic location, and other market conditions.