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

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. 

 

 

 

 

             

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 hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure teamin conjunction with the Workato AI Lab in Singapore. You will work closely with engineers in Singapore, US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

 In this role, you will also be responsible to:

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

Qualifications / Experience / Technical Skills

• 7+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

(REQ ID: 2437)

Job Description

Fusion Worldwide is looking for a hands-on developer who can both build applications and stand up the infrastructure they run on. This role sits at the intersection of software engineering and day-to-day operations — you will own solutions end-to-end, from database design and deployment pipelines through to the application layer and operational dashboards.

You'll significantly shorten the time between an operational need and a working solution. We prioritize shipping working tools quickly, then hardening them as they prove their value.

What We Can Do For You

• Offer support through a collaborative, open environment alongside seasoned professionals with decades of industry expertise.
• Enable career growth through direct and focused mentorship.

What You Can Do For Us

Key Responsibilities

• Design, develop, and deploy automation and AI-assisted solutions for warehouse and test lab operations.
• Set up and maintain the deployment infrastructure these tools run on — databases, application hosting, CI/CD, backups, and monitoring.
• Design and operate data pipelines that ingest equipment data from warehouse systems and Prosemi test lab machines into centralized, queryable stores for real-time monitoring and automation.
• Build and maintain barcode label recognition and authentication systems using OCR and computer vision techniques.
• Develop inventory auto-count and verification workflows that reconcile physical stock against database records in real time.
• Manage the on-premise and/or cloud environments where these systems run, including networking between warehouse equipment and centralized services.
• Implement basic security and access controls — authentication, secrets management, and network segmentation between equipment and corporate systems.
• Work closely with the engineering team to ensure solutions follow company standards and remain maintainable at scale.
• Iterate rapidly on released solutions — applying updates, feature additions, and adjustments with minimal turnaround time.
• Own runbooks and documentation for the tools you build so operations teams can self-serve.

What you will work on

• Barcode AI recognition — OCR and vision-based label reading and authentication to reduce manual verification errors.
• Inventory auto-count — Automated physical inventory counting with real-time database cross-verification.
• Machine data integration — Connecting test lab and warehouse equipment to structured data pipelines.
• Operational dashboards — Visibility tools that surface key metrics to operations and quality teams.

Who We’re Looking For

• 5+ years of software development experience, including at least 2 years operating production systems you built yourself.
• Minimum of a Bachelor’s Degree in computer science or a related discipline is required for this role.
• Strong backend development skills in Python (or similar), with solid fundamentals in API design, async processing, and database modeling. Comfortable with both SQL and NoSQL — and knows when to use which.
• Hands-on experience deploying and operating production systems: containers (Docker), at least one cloud platform (AWS/Azure/GCP) oron-prem Linux administration, CI/CD pipelines, and basic observability (logs, metrics, alerts).
• Experience designing and running data pipelines that ingest from external sources (APIs, hardware, files) into a queryable store.
• Comfortable with networking fundamentals — TCP/IP, firewalls, VPNs — and connecting industrial or warehouse equipment to backend services.
• Familiarity with AI/ML APIs or frameworks for vision tasks (OCR, object detection, classification). You don't need to train models from scratch, but you should know how to integrate and fine-tune existing ones.
• Comfortable working in an operational environment — able to gather requirements directly from non-technical stakeholders and translate them into working systems.
• Strong ownership: you can take a project from a vague operational need through to a deployed, monitored, documented solution.

      Good to have

• Exposure to industrial equipment data protocols (Modbus, MQTT, OPC-UA, serial, vendor REST APIs).
• Experience with computer vision or barcode/OCR technologies (YOLO, Tesseract, ZXing/pyzbar, cloud vision APIs).
• Message queues or streaming tools (RabbitMQ, Kafka, Redis Streams).
• Background in warehouse management systems (WMS) or laboratory information management systems (LIMS).
• Experience in electronics distribution, semiconductor, or supply chain environments.

Benefits

• Attractive salary package with medical and dental benefits.
• Modern, open-concept working environment.
• Collaborative and motivated team culture.
• Supportive management invested in your success.
• Smart casual dress code.
• Conveniently located within walking distance from Taiseng MRT station.

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

We’re a fast-growing cloud-native digital bank looking for a Lead SRE / Platform Engineer to drive initiatives to improve the reliability, resilience, and efficiency of the platform that powers our products. This is a hands-on role with leadership responsibilities: you’ll help set the technical direction for how we operate, scale, and secure our infrastructure, and you’ll build the systems that let us move quickly without breaking things.
You’ll be part of a core team that is trusted to keep it running smoothly, make it faster, and turn toil into code.

What you’ll do

• Own the observability platform. Logs, metrics, traces, events — the full picture. Make signals actionable, reduce alert fatigue, and give every team the tools to understand their systems in production.
• Build agentic SRE systems. Design and ship AI agents that investigate incidents, execute runbooks, automate remediation, and close the loop on production issues. Bring context and harness engineering discipline to agent design: grounded context, well-scoped tools, evals, and guardrails.
• Automate the platform. Turn manual processes into self-service. Every recurring operational task is a candidate for elimination.
• Drive resiliency automation. Lead initiatives such as chaos engineering, cost and performance optimization, and capacity forecasting.
• Lead through influence. Set technical direction, mentor engineers, help unblock them when they hit issues, and write the design docs that get referenced for years. Raise the bar on what “operational excellence” means here.
• Be the calm in the storm. Jump in to diagnose and remediate critical infrastructure issues. Support the team during critical deployments — you're expected to be hands-on when it matters most.

What we’re looking for

• 8+ years in SRE, platform, or infrastructure engineering, with deep production ownership of a non-trivial cloud platform.
• Strong system design chops. You can reason end-to-end about distributed systems and event-driven architectures, including failure modes and the tradeoffs between consistency, availability, latency, and cost.
• AWS and Kubernetes experience. Comfortable with EKS internals, networking, IAM/IRSA, service mesh (Istio), and the control-plane/data-plane split.
• Hands-on with the rest of our stack — Kafka, Aurora PostgreSQL / RDS PostgreSQL, S3, ELB — or equivalent managed data and networking primitives.
• Proven track record owning resiliency in a high-velocity environment: incident command, postmortems that actually change things, SLO-driven engineering, progressive delivery.
• Experience with context engineering and harness engineering — building LLM and agent systems where the prompt, retrieved context, tool surface, and eval harness are first-class engineering artifacts.
• A clear vision for what zero-downtime, zero-touch, zero-trust looks like in practice, and a track record of moving real systems toward it.
• Fluent in IaC (Terraform, Helm, or similar) and CI/CD. You believe platforms are products and treat them as such.
• FinOps mindset. Comfortable analyzing cloud cost reports, identifying inefficiencies, and driving optimization initiatives that balance cost with performance and reliability.

Our ideal candidate has

• Financial services or other regulated-environment experience.
• Experience integrating AI/LLM systems into production operational workflows — not just experiments.
• Expertise in OpenTelemetry and the broader observability ecosystem.
• Experience with Sumologic and PagerDuty (or equivalent observability and incident management tooling).
• A continuous learning mindset — you stay current and bring new ideas to the table.
• Strong stakeholder communication and management skills — you can translate technical concepts for non-technical audiences and build alignment across teams.

About the Role

As a Fivetran Sales Engineer in ASEAN, you will drive massive transformation and efficiency for enterprise customers in a booming market. Using your experience with Data Replication/Integration, ETL/ELT, cloud data warehousing, data lake houses, and analytics, you will skillfully guide prospects and partners to build faster, more reliable, and secure data foundations for the AI world. You will be directly and enthusiastically supported by a world-class Sales Engineering team, an agile and hungry APAC Sales team, and a suite of products that enable companies to leverage AI workloads with successful data foundations.

This is a full-time, remote position based in Singapore.

What You'll Do

• Drive pre-sales technical discovery and solutioning discussions with data architects, data engineers, database administrators, systems architects, and other technical professionals at all levels of customer organizations interested in getting more value out from their data
• Plan, manage, and effectively close out technical demonstrations and proof of concept (POC) projects, often serving as both the subject matter expert and project manager
• Respond to technical enquiries including Requests for Informations (RFIs), Proposals (RFPs) and similar formal documents
• Enable Fivetran staff, partner teams, and the data engineering community at large on data concepts, product features, competitive positioning, and best practices; this may take a variety of forms including but not limited to written articles, group presentations, bespoke training sessions, recorded videos, one-to-one coaching, etc.
• Provide technical guidance and assistance to new customers to ensure successful adoption and scale
• Be intimately familiar with and have a positive reputation within the ASEAN region.

Skills We're Looking For

• At least 6-8 years working/operational experience with Oracle, Microsoft SQL Server, SAP or similar within an enterprise or providing and supporting end-user database operations as a systems integrator
• Experienced in Data Replication/Integration (CDC) tools
• Solid knowledge of data lakes, lake houses and scalable data foundations for AI use cases
• Proficiency in SQL scripting
• Knowledge in Python/JavaScript and Rest API interaction
• Hands-on experience with modern databases (PostgreSQL, MariaDB/MySQL, MongoDB) in on-premise and cloud deployments.
• Working knowledge with one or more major cloud providers (AWS, GCP, Azure)
• Knowledge with modern cloud data warehousing providers ( Snowflake, Redshift, BigQuery or Databricks) and data lake architectures (Kafka, HDFS, S3, ADLS, GCS, Iceberg, Delta etc)
• Experience successfully demonstrating and articulating the value of Business Intelligence and Analytics tools
• Ability to influence technical audiences in their language, and influence business audiences by translating complex technology concepts
• Passion for data and analytics, a philosophy of using technology to help solve business problems
• Keen analytical and problem-solving skills
• Curiosity to learn and assimilate technical information quickly, enthusiasm to share and teach others
• Experience selling into and influencing multi-faceted decision-groups within large and complex organisations

#LI-REMOTE

#LI-MM1

We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Senior Consulting Engineer to join our global team, where you'll provide Consultative Support to our ClickHouse enterprise customers. The role uniquely blends hands-on engineering, development assistance, and high-tier support, performing functions across Consultative Support, Engineering, and Support. You will work directly with a set of strategic customers, providing guidance, case answers, and technical oversight. Consulting Engineers will also be assisting with support cases for customers in our Support L1 to L3 tiers, particularly when not assigned to larger projects.

Responsibilities:

• Project Engineering & Consulting (50%): Serve as a team member on customer projects, focusing on design, architecture, integration, implementation, and documentation. This includes research, benchmarking, performance and functional testing, reference architectures, sizing, migration, integration, development, and tooling.
• Consultative Support (50%): Provide case-initiated consultative support to strategic users, customers, and prospects, assisting with implementation, onboarding, production launches, and Proof of Concepts (POCs).
• Provide architectural, technical, and migration assistance, including hands-on tasks.
• Work as a member of the Support Team, handling L1 to L3 cases and communications when not actively assigned to customer projects.
• Partner closely with ClickHouse Product Management, Engineering, and Sales to contribute to the product roadmap and account plans.
• Develop and assist with a wide range of content, including Public and Internal Documentation, Knowledge Base articles, ClickHouse Learning, Reference Architecture, blogs, and benchmark results.
• Assist with hiring and mentoring new team members as we grow and scale.
• Be available for scheduling and on-call needs to deliver high-quality 24x7 support in a global, distributed environment, including up to 35% estimated onsite regional travel.

Requirements:

• 5+ years of experience in Professional Services, Support, Technical Accounts Management, Engineering/SRE, and/or Project Management roles.
• 5+ years of relevant industry experience in implementing, operating, and/or supporting scalable, fault-tolerant, distributed database management systems ("DBMS").
• Technical breadth and depth in relevant subjects such as DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, Linux/Unix, Kubernetes, System or Network Administration, and big data.
• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
• Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2)

Bonus points:

• Experience with ClickHouse
• Experience with OSS and open-source technologies, as a user, community member, or contributor
• Experience with Azure, GCP or AWS
• Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others

You'll love this role if:

• You have excellent communication skills and thrive in a customer-facing role, collaborating closely with Support Services, Engineering, and Sales teams.
• You are self-driven, curious, and eager to continuously learn and grow.
• You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems.
• You have a sense of adventure and urgency in building the most scalable, highest performing, largest, and fastest databases in the world.

As a Backend Engineering Lead you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.  

Key Responsibilities

Technical Vision and Strategy

• Defines and communicates the technical vision and strategy for the engineering team, aligning it with overall business objectives.
• Evaluates emerging technologies and industry trends — including AI/ML capabilities, LLM-based tooling, and agentic frameworks — to inform technical roadmaps and architectural decisions.

Team Leadership and Mentorship

• Leads and mentors a team of engineers, fostering a culture of collaboration, innovation, and continuous learning.
• Provides guidance and support to team members, empowering them to grow both technically and professionally.
• Builds AI literacy across the team — ensuring engineers can effectively leverage AI-assisted development tools (code generation, automated review, test generation) while maintaining critical thinking about AI outputs.
• Coaches engineers on prompt engineering, AI pair-programming workflows, and when to trust vs. verify AI-generated code.

Project Management and Execution

• Manages technical projects from inception to delivery, overseeing planning, execution, and quality assurance processes.
• Coordinates with cross-functional teams, including product management, design, and QA, to ensure successful project outcomes.
• Incorporates AI-augmented estimation and planning tools where appropriate, while maintaining accountability for delivery commitments.

Architecture and Design

• Designs and implements scalable, maintainable, and extensible software architectures, considering factors such as performance, security, and scalability.
• Leads architectural discussions and collaborates with senior engineers to drive consensus on design decisions.
• Architects systems with AI integration patterns in mind — designing clean boundaries for AI/ML components, defining contracts between deterministic and probabilistic systems, and planning for model versioning, fallback strategies, and graceful degradation.

Technical Excellence

• Sets high standards for code quality, performance, and maintainability, and ensures adherence to best practices and coding standards.
• Conducts code reviews and provides constructive feedback to ensure the delivery of high-quality software solutions.
• Establishes guardrails and review standards for AI-generated code — ensuring it meets the same quality bar as human-written code, with particular attention to security, edge cases, and maintainability.
• Champions responsible AI practices: output validation, bias awareness, hallucination mitigation, and appropriate human-in-the-loop controls for critical paths.
  
  

Operational Ownership

• Takes end-to-end ownership of the systems the team builds — from deployment through production reliability, performance, and incident response.
• Drives operational maturity: SLOs/SLIs, alerting hygiene, runbook coverage, on-call readiness, and post-incident reviews that produce lasting improvements, not just action items.
• Ensures the team builds with production in mind from day one — observability, graceful degradation, and failure modes are first-class design concerns, not afterthoughts.
• Instils a "you build it, you run it" culture where engineers feel genuine accountability for what they ship and how it behaves under real-world conditions.

Problem-Solving and Decision-Making

• Demonstrates advanced problem-solving skills, leveraging deep technical expertise and critical thinking to address complex technical challenges.
• Makes informed decisions under uncertainty, weighing technical trade-offs and considering long-term implications.
• Knows when AI is the right tool for a problem and when it isn't — resists the pressure to "add AI" where simpler, more deterministic solutions are more reliable and cost-effective.
• Leverages AI-assisted analysis (log analysis, incident correlation, root cause detection) to accelerate debugging and reduce mean time to resolution.

Stakeholder Management and Communication

• Builds strong relationships with stakeholders, including product managers, business leaders, and other engineering teams, to understand requirements and priorities.
• Communicates technical concepts and project status effectively to both technical and non-technical stakeholders, adapting communication style as needed.
• Translates AI capabilities and limitations into business terms — sets realistic expectations around what AI can deliver, timelines for AI-powered features, and the ongoing cost of maintaining AI systems (compute, data quality, model drift).
• Educates stakeholders on the difference between demo-grade AI and production-grade AI, managing enthusiasm without stifling innovation.

Risk Management and Mitigation

• Identifies and mitigates technical risks proactively, anticipating potential issues and implementing contingency plans to minimize impact on project timelines and deliverables.
• Maintains a focus on security, privacy, and compliance requirements, ensuring that systems and processes adhere to relevant standards and regulations.

Continuous Improvement and Innovation

• Drives a culture of continuous improvement and innovation within the engineering team, encouraging experimentation, knowledge sharing, and adoption of new technologies.
• Promotes automation, tooling, and process enhancements to improve efficiency, reliability, and scalability of development workflows.
• Runs structured experiments with AI tools and workflows — measuring real impact on velocity, quality, and developer experience rather than relying on anecdotal evidence.
• Builds internal knowledge sharing around AI use cases, effective patterns, and lessons learned — creating a feedback loop that accelerates the team's AI maturity.
• Actively contributes to agentic AI workflows for automating repetitive engineering tasks (test generation, migration scripts, documentation, incident triage) while maintaining human oversight on critical decisions.
  
  

Leadership and Influence

• Leads by example, demonstrating integrity, accountability, and a commitment to excellence in all aspects of work.
• Inspires and motivates team members to achieve their full potential, fostering a positive and inclusive team culture.
• Positions the team as AI-forward without being AI-reckless — models the discipline of evaluating AI tools critically, adopting what works, and discarding what doesn't.
• Shapes the engineering organization's AI adoption narrative, contributing to company-wide standards, governance frameworks, and best practices for AI in production systems.

Role Specific Technical Competencies:

• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.

Our Ideal Candidate: 

• 10+ years of overall experience with the majority of this experience as an Engineering Lead or Manager.
• Experience working in Fintech / Financial organisations is an added advantage.
• At least 5 years of demonstrable leadership experience, at an individual team level and working across demographically distributed teams and organizational boundaries.
• Good experience in creating actionable strategies, with clear outcomes, and continuous measurement of progress.
• Ability to produce and communicate effective and insightful thought leadership on technical topics.
• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.
• Ability to take ownership and deliver results in a challenging client-facing environment.
• A degree in a relevant area of study would be helpful but not mandatory

What You’ll Be Doing

What We Look For In You 

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Visier is the leader in people analytics and we believe in a 'people-first' approach to business strategy. Our innovative technology transforms the way that organisations make decisions, allowing them to elevate their employees and drive better business outcomes. Embarking on an exciting new chapter in our growth story, we are looking for talented individuals who can help both Visier and our customers grow, evolve and win!

Visier is recruiting for a Software Developer Intern to join our innovative and extremely talented Development department.

Our internship experience is unique and designed to prepare you for professional success as you work on real, impactful work from the beginning...not features that may be mothballed after a few months of hard work! Our ultimate goal is to give you the mentorship, training, and work experience you need to start your career. A number of our students return to us after they graduate and start developing their professional career at Visier!

And we use cool state-of-the-art technology to build our innovative full-stack software solution that helps people see the truth and drives organizations to perform their best. We use a variety of frontend technologies including Angular, React, NgRx, Play Framework, TypeScript, Less, and others. We deal with large volumes of data every day. And in our backend areas we work with technologies like Scala, Kotlin, Python, Kafka, Spark, Consul, Cassandra DB, Docker, AWS, etc. We work with LLMs, various prompt engineering techniques and related technologies such as LangChain. So, you’ll be developing knowledge and skills that are transferable anywhere.

What you'll be doing...

• Writing production level code that will directly impact customers
• Implementing cool new features
• Fixing complex bugs
• Writing tests
• Collaborating with people in all stages of the software development cycle

What you'll bring to the table...

• Coding skills in relevant programming languages (for example, like Java, Python, JavaScript, Typescript, Scala, or other similar languages)
• Knowledge of data structures and algorithms
• Knowledge of one of the following areas would be an advantage:
  • LLMs
  • Web technologies (REST, HTML/CSS, JSON, Angular)
  • Relational and non-relational databases and SQL language
• Coding skills in writing functional tests
• Attention to detail, tendency to spot mistakes and identify potential improvements

Most importantly, you share our values...

• You roll up your sleeves
• You make it easy
• You are proud
• You never stop learning
• You play to win

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. 

At Jump Trading, solving hard problems with cutting edge technology is our business. Jump relies heavily on open source solutions in our large and distributed global infrastructure that includes several large high performance computing environments, a large low latency trading infrastructure and significant supporting infrastructure. We are looking for a Database Engineer to add to our Singapore offices.

At Jump, database engineers "own" many parts of the stack, including embedding with trading and other teams.The ideal candidate will be passionate about open source database technology, with experience in more than one (for example MySQL, PostgreSQL, ClickHouse, Prometheus, Kafka, …).

The candidate will have a good ability to automate (using a language such as Python or Go) and understand the full database system when deployed on Linux. Experience managing ETL pipelines and managing petabyte scale data warehouses is valuable, but not mandatory.

What you’ll do:

• Work on and lead major projects involving a mix of database technology.
• Some example projects in flight are listed above. In general these projects span database engineering (e.g. deploying, scaling or managing database infrastructure) and working with other teams to solve business problems (for example schema design, data architecture planning, technology selection)
• Be part of a global “on-call” schedule for database technology.
• Develop automation to minimize operational toil, in accordance with SRE principles.

Skills you’ll need:

• Significant engineering experience working with open source database, solving challenging business problems with cutting edge technology.
• Comfort using a programming language for automation tasks (Python, Go, etc.)
• Comfort using the Linux shell to understand and troubleshoot an overall system
• Proficiency with SQL

Bonus Points:

• Experience working on petabyte scale data warehouses and distributed database systems
• Industry experience in finance/trading, particularly supporting post-trade processing systems
• Python, pandas, etc.
• DevOps / SRE mindset
• Kafka experience
• Database Replication
• ETL pipeline experience
• Jenkins
• Knowledge of Splunk
• Proficiency with AI coding tools

Perks & Benefits

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowance
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.

Get to Know our Team: In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team. 

The Opportunity: As a senior lead/principal engineer at Agoda, you will drive the technological evolution of our front-end systems. You will be responsible for architecting, implementing, and optimizing user interfaces that enhance the user experience for millions of travelers worldwide. This position requires a deep understanding of back-end development principles, a passion for crafting exceptional user experiences, and expertise in various back-end technologies. 

In this role, you’ll get to: 

• Architecting and developing highly scalable, mission-critical back end systems
• Owning a big chunk of Agoda’s system all the way from the north-star & vision down to the bytecode level
• Enabling impactful collaboration and cross-team projects on big projects, making a dent in the quality of our services, code & architecture
• Providing thoughtful feedback, nurture an inclusive engineering environment, and champion engineering fundamentals. Bring out the best from your fellow engineers.
• Identifying and implementing opportunities for optimization across the technology stack, focusing on cost, efficiency, velocity & dev happiness
• Exhibiting technical leadership throughout the broader organization, conveying complex technical trade-offs to non-techies such as business owners & C-suite executives.

What you’ll Need to Succeed: 

• Overall experience of 10+ years in engineering roles
• Proven hands-on experience with owning production services with significant impact on design, development, deployment, monitoring & evolution
• Curiosity, staying updated on technological improvements and open source advancement. 
• Strong programming skills in languages such as Kotlin, Scala, Java, C#.  
• Can perform deep research & take decisions on complex projects. Can easily toggle between running as a lone wolf and also works great as part of a pack
• Strong communication skills, with the ability to explain complex technical details to stakeholders at all levels.  
• On top of being an expert in BE, has understanding of challenges and trade-offs in the entire engineering universe, from FE/Mobile to Data 7 analytics
• Bachelor's degree in Computer Science, Engineering, or a related field.

It’s great if you have: 

• A Master's or Ph.D. in a technical field
• Experience with Kubernetes for effective container orchestration and scaling 
• Deep understanding of CI/CD pipelines, automation tools, and practices relevant to machine learning.  
• Experience in programming with Rust, C or other low level languages

This position is based in Singapore.

#Singapore #IT #ENG #5 #LI-Hybrid

We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Senior Consulting Engineer to join our global team, where you'll provide Consultative Support to our ClickHouse enterprise customers. The role uniquely blends hands-on engineering, development assistance, and high-tier support, performing functions across Consultative Support, Engineering, and Support. You will work directly with a set of strategic customers, providing guidance, case answers, and technical oversight. Consulting Engineers will also be assisting with support cases for customers in our Support L1 to L3 tiers, particularly when not assigned to larger projects.

Responsibilities:

• Project Engineering & Consulting (50%): Serve as a team member on customer projects, focusing on design, architecture, integration, implementation, and documentation. This includes research, benchmarking, performance and functional testing, reference architectures, sizing, migration, integration, development, and tooling.
• Consultative Support (50%): Provide case-initiated consultative support to strategic users, customers, and prospects, assisting with implementation, onboarding, production launches, and Proof of Concepts (POCs).
• Provide architectural, technical, and migration assistance, including hands-on tasks.
• Work as a member of the Support Team, handling L1 to L3 cases and communications when not actively assigned to customer projects.
• Partner closely with ClickHouse Product Management, Engineering, and Sales to contribute to the product roadmap and account plans.
• Develop and assist with a wide range of content, including Public and Internal Documentation, Knowledge Base articles, ClickHouse Learning, Reference Architecture, blogs, and benchmark results.
• Assist with hiring and mentoring new team members as we grow and scale.
• Be available for scheduling and on-call needs to deliver high-quality 24x7 support in a global, distributed environment, including up to 35% estimated onsite regional travel.

Requirements:

• 5+ years of experience in Professional Services, Support, Technical Accounts Management, Engineering/SRE, and/or Project Management roles.
• 5+ years of relevant industry experience in implementing, operating, and/or supporting scalable, fault-tolerant, distributed database management systems ("DBMS").
• Technical breadth and depth in relevant subjects such as DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, Linux/Unix, Kubernetes, System or Network Administration, and big data.
• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
• Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2)

Bonus points:

• Experience with ClickHouse
• Experience with OSS and open-source technologies, as a user, community member, or contributor
• Experience with Azure, GCP or AWS
• Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others

You'll love this role if:

• You have excellent communication skills and thrive in a customer-facing role, collaborating closely with Support Services, Engineering, and Sales teams.
• You are self-driven, curious, and eager to continuously learn and grow.
• You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems.
• You have a sense of adventure and urgency in building the most scalable, highest performing, largest, and fastest databases in the world.

We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Senior Consulting Engineer to join our global team, where you'll provide Consultative Support to our ClickHouse enterprise customers. The role uniquely blends hands-on engineering, development assistance, and high-tier support, performing functions across Consultative Support, Engineering, and Support. You will work directly with a set of strategic customers, providing guidance, case answers, and technical oversight. Consulting Engineers will also be assisting with support cases for customers in our Support L1 to L3 tiers, particularly when not assigned to larger projects.

Responsibilities:

• Project Engineering & Consulting (50%): Serve as a team member on customer projects, focusing on design, architecture, integration, implementation, and documentation. This includes research, benchmarking, performance and functional testing, reference architectures, sizing, migration, integration, development, and tooling.
• Consultative Support (50%): Provide case-initiated consultative support to strategic users, customers, and prospects, assisting with implementation, onboarding, production launches, and Proof of Concepts (POCs).
• Provide architectural, technical, and migration assistance, including hands-on tasks.
• Work as a member of the Support Team, handling L1 to L3 cases and communications when not actively assigned to customer projects.
• Partner closely with ClickHouse Product Management, Engineering, and Sales to contribute to the product roadmap and account plans.
• Develop and assist with a wide range of content, including Public and Internal Documentation, Knowledge Base articles, ClickHouse Learning, Reference Architecture, blogs, and benchmark results.
• Assist with hiring and mentoring new team members as we grow and scale.
• Be available for scheduling and on-call needs to deliver high-quality 24x7 support in a global, distributed environment, including up to 35% estimated onsite regional travel.

Requirements:

• 5+ years of experience in Professional Services, Support, Technical Accounts Management, Engineering/SRE, and/or Project Management roles.
• 5+ years of relevant industry experience in implementing, operating, and/or supporting scalable, fault-tolerant, distributed database management systems ("DBMS").
• Technical breadth and depth in relevant subjects such as DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, Linux/Unix, Kubernetes, System or Network Administration, and big data.
• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
• Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2)

Bonus points:

• Experience with ClickHouse
• Experience with OSS and open-source technologies, as a user, community member, or contributor
• Experience with Azure, GCP or AWS
• Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others

You'll love this role if:

• You have excellent communication skills and thrive in a customer-facing role, collaborating closely with Support Services, Engineering, and Sales teams.
• You are self-driven, curious, and eager to continuously learn and grow.
• You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems.
• You have a sense of adventure and urgency in building the most scalable, highest performing, largest, and fastest databases in the world.

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

We are representing a leading force in the decentralized exchange (DEX). We are seeking a seasoned Data Engineer to spearhead the development of robust data architectures. In this role, you will be responsible for the end-to-end lifecycle of data, from ingestion to insight, ensuring our infrastructure is both high-performing and scalable to meet the demands of a fast-paced business environment.

Key Responsibilities

• Design & Architecture: Architect, build, and maintain scalable data pipelines and sophisticated ETL processes to support complex data ecosystems.

• Infrastructure Optimization: Enhance data warehouse performance and implement rigorous data quality frameworks to ensure "single source of truth" reliability.

• Strategic Partnership: Collaborate closely with Product, Engineering, and Go-to-Market teams to translate business requirements into actionable data solutions.

• Operational Excellence: Develop automated monitoring systems to proactively identify and resolve pipeline bottlenecks.

• Agile Response: Execute high-priority, ad-hoc data requests and critical analyses with speed and precision to support urgent stakeholder decision-making.

Required Qualifications & Skills

• Professional Experience: Minimum of 7+ years in dedicated Data Engineering roles, ideally within a high-growth environment.

• Advanced Data Modeling: Deep expertise in data architecture, warehouse design (e.g., Star/Snowflake schemas), and modern ETL/ELT best practices.

• Technical Stack: Mastery of the modern data stack, including Snowflake, Airflow, and dbt.

• Cloud & Infrastructure: Strong proficiency with AWS services and experience managing distributed systems.

• Stream Processing: Hands-on experience with data streaming technologies such as Kafka or Kinesis to optimize large-scale workflows.

• Problem Solving: A proven ability to navigate ambiguity and deliver high-quality solutions under tight deadlines.