About the Role

Fivetran is the backbone of the modern data stack, powering Open Data Infrastructure for thousands of global enterprises. As a Senior Sales Engineer specializing in Customer Expansion for ASEAN, you will be at the forefront of a booming market, driving digital transformation for our most strategic existing customers.

In this role, you aren't just maintaining accounts—you are an architect of growth. Leveraging your expertise in Data Replication (CDC), ELT/ETL, Cloud Data Warehousing, and Data Lakehouses, you will identify high-impact expansion opportunities. You will partner with Account Managers to build faster, more secure data foundations that enable our customers to win in the era of AI. Supported by a world-class global SE team and an agile APAC sales organization, you will be the technical pivot point for Fivetran’s continued dominance in Southeast Asia.

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

Your focus will be on maximizing customer lifetime value (CLV) by:

• Strategic Land & Expand: Penetrating new business units and subsidiaries within global conglomerates.
• Use Case Innovation: Identifying whitespace for new data pipelines, from real-time analytics to GenAI readiness.
• Product Evangelism: Introducing advanced connectors (SAP, Oracle, HVR) and new platform capabilities.
• Architecture Evolution: Ensuring Fivetran remains the core standard as customers scale their data volume and complexity.

What You’ll Do

• Drive Technical Win for Expansion: Lead technical discovery and solution design for upsell and cross-sell motions across a high-value Commercial/Enterprise account base.
• Strategic Partnership: Collaborate with Account Managers (AMs) and Customer Success Managers (CSMs) to interpret usage signals and identify "trigger events" for expansion.
• Architect for Scale: Help customers evolve their legacy architectures to support modern cloud-scale volumes and hybrid-cloud environments.
• Champion the Platform: Position the value of Fivetran’s high-volume agents and enterprise-grade security to technical stakeholders and C-suite executives.
• Community & Enablement: Act as a thought leader in the ASEAN data community. You will produce technical content, lead bespoke training, and mentor partner teams on Fivetran’s competitive edge.
• Regional Expertise: Leverage your deep understanding of the ASEAN business landscape to navigate complex, multi-faceted decision-making groups.

Skills We're Looking For

• Enterprise Experience: 5+ years of operational experience with Tier-1 databases (SAP, Oracle, SQL Server) or supporting large-scale database operations as a Systems Integrator.
• Expansion Mindset: A proven ability to identify growth signals and translate technical needs into a compelling business case for expansion.
• The Technical Stack:
• Deep CDC Knowledge: Expert-level understanding of Data Replication/Integration and Change Data Capture.
• Cloud Platforms: Hands-on proficiency with AWS, GCP, or Azure.
• The Data Destination: Experience with Snowflake, Databricks, BigQuery, or Redshift, including Lakehouse architectures (Iceberg, Delta Lake).
• Languages: Proficiency in SQL is mandatory; experience with Python/JavaScript and REST APIs is highly preferred.
• Hybrid Savvy: Knowledge of both on-premise (PostgreSQL, MongoDB) and cloud-native deployments.
• Strategic Communicator: Ability to "code-switch"—influencing data engineers with technical depth and business leaders with ROI-driven narratives.
• Curiosity & Influence: A passion for solving business problems through data and a relentless drive to learn and share new technologies.

#LI-REMOTE

#LI-LA1

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market. 

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research. 

Responsibilities

• Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
• Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
• Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
• Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

• Track record of being detail-oriented and thorough
• You excel in problem solving and researching large datasets to resolve complex issues
• You have a collaborative attitude that lends itself to cross-team customers and projects 
• You thrive in the fast-paced environment of a daily live trading operation 

Qualifications

• 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline 
• Experience in Python strongly preferred 
• Experience managing ETL pipelines is a plus
• Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
• Comfortable with the Linux command line
• Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
• Able to provide technical support in a production trading environment

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions and automation. We specialise in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully we design and implement our own low latency technologies, trading strategies and mathematical models. At Akuna we have a flat structure, where the best idea wins.

Our Founding Partners, including Andrew Killion, first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, Singapore and London.

What you'll do as a Systems Engineer at Akuna:

We are looking for a Systems Engineer to be responsible for Akuna’s Linux server platform health. This person will participate in the design, deployment, and maintenance of our high-performance platform to support our trading environment. They will also automate daily software and hardware tasks while writing and maintaining scripts and tools. The ideal candidate will be self-motivated, proactive, and able to take ownership of projects and problems with minimal supervision. In this role, you will:

• Investigate new products and techniques to improve efficiency and performance in the environment
• Responsible for architecture and maintenance of a tier-based storage solution
• Management of Akuna’s server infrastructure at third party and local data centres
• Additional day-to-day responsibilities include system analysis, monitoring, and performance tuning, as well as additional support as required

Qualities that make great candidates:

• Bachelors, Masters or PhD with degree in Computer Science, Computer Engineering, Information Technology or a related subject
• Good English communication skills
• 4-6 years of systems engineering experience
• Advanced experience with a variety of Linux distributions (RedHat, Ubuntu ,etc.)
• Experience in managing and running services within K8s clusters
• Experience in managing a large scale AWS Cloud platform environment
• Experience in automation of daily software and hardware related tasks, Python or Bash scripting experience preferred
• Experience with build and configuration management tools (Ansible/Rundeck, Puppet, Foreman)
• Experience with system monitoring and alerting tools (Icinga/Nagios, Prometheus, Alertmanager)
• Experience in virtualization and orchestration platforms like VMware, Kubernetes and Terraform
• Experience in supporting a variety of storage platforms/protocols
• Familiarity with CI/CD pipelines and tooling
• Linux kernel and low latency performance tuning
• Knowledge of database systems, including PostgreSQL and MySQL
• Experience in troubleshooting multicast and TCP related performance issues
• Ability to diagnose and troubleshoot issues

Title: Sales Development Representative

Location: Singapore( Seeking candidates who are Singapore Citizens or Permanent Residents)

As an SDR at EDB, you will play a vital role in identifying and qualifying sales opportunities in South Asian countries. You will use a consultative and entrepreneurial approach to engage prospects, working closely with Account Executives to drive PostgreSQL adoption. This role reports directly to the SDR Director, APJ, and may involve occasional travel.

Your Impact at EDB

• Conduct inbound and outbound prospecting to identify and qualify new sales opportunities in Singapore
• Proactively identify, qualify, and nurture leads through a consultative sales approach.
• Collaborate with Account Executives to develop strategies that drive PostgreSQL adoption across these countries.
• Utilize tools like LinkedIn Sales Navigator, 6sense, TechTarget, and ZoomInfo for prospecting.
• Support EDB’s mission by contributing to the growth and success of the Singapore region.
• Meet and exceed sales opportunity generation targets.
• Join a mission-driven company at the forefront of open-source databases with PostgreSQL.
• Be a key contributor to EDB’s growth in Singapore.
• Collaborate with a high-performing, supportive, and innovative team.
• Enjoy a transparent and open work environment with opportunities for personal and professional development.
• Help shape the future of PostgreSQL adoption in your region.

Qualifications.

• Experience: At least 3 years of experience as an SDR or BDR in South Asian Countries.
• The candidate must have proficiency in both English and Mandarin. Proficiency in Cantonese is a plus.
• Country Coverage: Primary focus on ANZ, Singapore, Hong Kong and Philippines
• Sales Skills: A “hunter” mentality with a strong passion for outbound and inbound prospecting.
• Technical Interest: A keen interest in technology, particularly open-source solutions, preferred.
• Industry Knowledge: Experience in the database, SaaS, or cloud industry is highly desirable. Familiarity with the public sector or enterprise space is a plus.
• Communication: Exceptional verbal and written communication skills.
• Tools & Processes: Proven success in using prospecting tools like LinkedIn Sales Navigator, 6sense, TechTarget, ZoomInfo and Salesloft.
• Personality: Driven and results-oriented professional with a passion for exceeding goals, a strong competitive edge, and a proven ability to collaborate effectively within teams
• Organization: Excellent time management and organizational skills.

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

#LI-Onsite

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

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 seeking an Senior AI Applications Engineer (Full Stack) to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.

This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.

• Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.

• Build scalable, production-grade backend services and REST APIs using Python.

• Develop clean, performant, and reusable React.js components for modern web interfaces.

• Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.

• Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.

• Lead architecture discussions and set engineering best practices across the stack.

• Optimize application performance, scalability, and reliability across backend and frontend systems.

• Mentor junior developers and contribute to a culture of engineering excellence.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.

• 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.

• Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.

• Proven experience developing production-ready frontend applications using React.js (or similar frameworks).

• Deep knowledge of REST API design and integration patterns.

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.

• Familiarity with integrating AI/ML models into applications (directly or via APIs).

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.

Soft Skills / Personal Characteristics

• Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.

• Strong sense of ownership, accountability, and leadership.

• Passion for AI and delivering impactful, data-driven software solutions.

• Comfortable working in a fast-paced, collaborative, and iterative environment.

• Willingness to mentor others and help raise the overall bar for engineering quality.

(REQ ID: 2456)

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)

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

Role Summary 

This role is an opportunity to work with a high-agency startup team operating in the hard-tech and energy systems space. You will play a critical role in designing, building, and scaling the backend systems that power Amperesand’s ERP platform and its integration with factory software, analytics, and operational software systems. 

This is a hands-on role. You will architect and deliver production-grade backend services that support high-concurrency, high-availability workloads across manufacturing, inventory, supply chain, work orders, and enterprise operations. The backend in this role will serve as the connective layer between ERP capabilities and factory software execution, while also enabling intelligent systems that support automation, decision support, operational analytics, and future AI-driven workflows. The role requires close collaboration with frontend, product, AI, and domain expert teams — along with a strong sense of ownership, systems thinking, and pragmatism in building reliable software for real-world operations. 

Responsibilities:

• Own the design, architecture, and implementation of backend systems for Amperesand’s ERP platform and its integration with factory software, analytics, and operational platforms. 

• Build and scale high-concurrency, high-availability services in Go to support mission-critical manufacturing and business workflows. 

• Design backend systems that connect ERP workflows with factory software domains such as inventory management, supply chain operations, work order execution, production tracking, and enterprise reporting. 

• Build robust APIs, service interfaces, and data models that enable frontend applications, analytics systems, internal tools, and third-party enterprise integrations.  

• Develop backend capabilities for workflow orchestration, machine and system integrations, telemetry ingestion, operational event processing, and reporting.  

• Build services that connect shop-floor execution with ERP-oriented workflows such as material tracking, inventory state, work order status, fulfillment processes, and supply chain visibility.  

• Design and support intelligent systems that enable automation, contextual recommendations, operational insights, and AI-assisted workflows across ERP and factory software platforms.  

• Build distributed systems that are reliable, observable, and resilient under production load. 

• Optimize backend performance across service latency, throughput, data access patterns, and system resource utilization.  

• Collaborate closely with frontend, product, and domain teams to translate operational requirements into scalable backend architectures.  

• Drive best practices for service reliability, fault tolerance, testing, deployment, and maintainability.  

• Contribute to technical strategy and architecture decisions across backend, infrastructure, data, and platform layers.  

• Mentor other engineers through code reviews, design reviews, and strong engineering standards.  

• Leverage AI-assisted development tools where useful to improve engineering velocity, code quality, and developer productivity.  

• Document service designs, architecture decisions, and tradeoffs for cross-functional stakeholders. 

Qualifications:

• 7+ years of experience in backend or distributed systems engineering, including production deployments in scalable environments.  

• Strong experience with Go and building production backend services.  

• Proven experience designing systems for high concurrency, high availability, and fault tolerance.  

• Experience building backend platforms for ERP, MES, factory software, analytics, workflow engines, or other enterprise/business-critical software.  

• Strong understanding of API design, microservices, distributed system patterns, and asynchronous/event-driven architectures.  

• Experience with databases and data systems such as PostgreSQL, Redis, MQTT, NATS, ClickHouse, or similar technologies.  

• Familiarity with real-time data processing, telemetry pipelines, and backend systems that support dashboards, reporting, and analytics.  

• Experience with observability and production operations, including logging, metrics, tracing, alerting, and incident debugging.  

• Familiarity with cloud infrastructure and containerized deployment environments such as AWS, Kubernetes, and Docker.  

• Strong testing discipline across unit, integration, and end-to-end service validation.  

• Comfortable working with AI coding tools such as Copilot, Cursor, Claude, or similar tools to supplement and accelerate development.  

• Proficiency in English and ability to communicate effectively with wider teams.  

• Ability to travel up to 20%, including international 

Bonus Qualifications:

• Background in energy engineering systems (power systems, energy storage, power electronics, or controls). 

• Experience in manufacturing, industrial automation, supply chain, inventory managment, energy systems, or other operational technology domains 

• Experience designing systems that integrate with machines, PLCs, IoT devices, or external enterprise platforms. 

• Experience with MES, digital twins, or asset health monitoring. 

• Experience working within or building design systems.  

• Experience building backend platforms that support AI-enabled workflows, data capture, or operational intelligence systems.  

• Familiarity with CI/CD workflows and software DevOps practices. 

• Experience working with hardware, firmware, or operations teams. 

• Open-source contributions to backend projects a plus. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

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

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

We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future.

Key Responsibilities

• Design and implement AI platforms, encompassing both front-end interfaces and back-end services.
• Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization.
• Deploy AI models into production environments, ensuring performance, scalability, and reliability.
• Develop and maintain data processing pipelines to ensure data quality and consistency.
• Stay updated on AI technology trends, advocating for the integration of new technologies into our products.
• Contribute to other projects based on the company’s product development progress

Requirements

• Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 5 years of full-stack development experience, proficient in both front-end and back-end technologies.
• Expertise in front-end and back-end technologies (especially Golang)
• Eager to explore and could use new technologies related to AI that help improve working efficiency
• Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation.
• Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations.
• Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative.

Preferred Qualifications

• Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB.
• Experience in deploying and optimizing AI agent
• Experience contributing to open-source projects
• Build high-performance APIs and microservices to support large-scale Web3 application
• Familiarity with large-scale data processing technologies such as Hadoop or Spark.

Join our growing global team! We’re hiring 100% remote Account Executives in North America, Brazil, India, Australia, Hong Kong, Indonesia, Korea, Singapore, United Kingdom, Switzerland, Germany, Qatar and South Africa.

In this role as an Account Executive you'll be at the forefront of expanding our reach, engaging with new enterprise accounts through hands-on prospecting and strategic hunting. You’ll be part of the team leading the charge at a top-tier company, well-recognized for revolutionizing the industry with our advanced Postgres toolset. It's a position for someone ready to drive growth and eager to contribute to a trailblazing journey in a dynamic environment.

What your impact will be…

• Identify new opportunities for sales expansion thorough market research. Tailor sales processes for enterprise-level prospects and create customized sales pitches to engage high-value clients successfully.
• Drive revenue growth by generating leads and cultivating relationships with potential clients. Achieve and aim to exceed sales targets through strategic selling methods. Craft and execute sales plans that successfully lead to revenue generation. Keep a pulse on sales performance with detailed metrics analysis to predict income trends.
• Discuss the terms and conditions of sales contracts with enterprise clients, ensuring that all agreements are favorable. Work in unison with legal teams to draft and review all contract documents meticulously.

What you will bring…

• 3-5+ years in enterprise sales experience 
• Skills in market research and analysis to identify sales opportunities 
• Ability to craft customized sales pitches for enterprise-level clients
• Expertise in lead generation strategies for B2B sales
• Proficiency in strategic hunting and prospecting techniques
• Track record of achieving and exceeding sales targets
• Proven success in leading revenue growth

Who We Are 

Build. Scale. Sustain.  

We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. 

• We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
• We are robust and resilient: 100% independent and 0 debt
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence 
• We are positive, courageous, caring, doers and committed to excellence 

About Gen-e2TM 
 
While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents: 

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot. 
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability. 

With Gen-e2TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence. 

YOUR ROLE AND RESPONSIBILITIES:

Data Platform Management

• Support and maintain data platforms for multiple clients across Azure, Microsoft Fabric, and other cloud environments
• Manage and optimize on-premise data platform solutions
• Ensure high availability, performance, and security of client data infrastructure
• Monitor platform health and proactively address potential issues

Data Pipeline Development

• Design, build, and maintain robust data pipelines for ETL/ELT processes
• Implement real-time and batch data processing solutions
• Optimize data flows for performance and cost-effectiveness
• Troubleshoot and resolve pipeline issues to ensure reliable data delivery

Infrastructure as Code

• Collaborate With DevOps to create and maintain infrastructure using Terraform for scalable, repeatable deployments
• Manage cloud resources and infrastructure provisioning across multiple client environments
• Implement infrastructure best practices for security, monitoring, and disaster recovery
• Collaborate with DevOps to establish CI/CD pipelines for data infrastructure

Client Support & Collaboration

• Work directly with clients to understand their data requirements and business objectives
• Provide technical expertise and recommendations for data architecture improvements
• Document solutions and maintain comprehensive technical documentation
• Participate in client meetings and technical reviews

WHO YOU ARE:

We are seeking an experienced Data Engineer to join our managed services team, where you'll play a critical role in supporting and maintaining data platforms for our diverse client portfolio. This position offers the opportunity to work with cutting-edge cloud technologies while solving complex data challenges across multiple industries.

Technical Skills

• Cloud Platforms: Strong experience with Microsoft Azure services (Data Factory, Synapse, Azure SQL, Storage Accounts, etc.)
• Microsoft Fabric: Hands-on experience with Microsoft Fabric components and capabilities
• Infrastructure as Code: Proficiency in Terraform for infrastructure provisioning and management is a plus
• Data Engineering: 5+ years of experience building and maintaining data pipelines
• Programming: Strong skills in Python, SQL, and PowerShell/Bash scripting
• On-Premise Systems: Experience with traditional data platforms and hybrid cloud architectures

Platform Expertise

• Azure Data Services (Data Factory, Synapse Analytics, Databricks, Event Hubs)
• Microsoft Fabric
• Database technologies (SQL Server, PostgreSQL, NoSQL databases)
• Data integration tools and methodologies
• Multi-cloud environments (AWS, GCP experience is a plus)

Professional Skills

• Strong problem-solving and analytical thinking abilities
• Excellent communication skills for client-facing interactions
• Experience working in a managed services or consulting environment
• Ability to manage multiple client projects simultaneously
• Strong documentation and knowledge-sharing practices

BONUS SKILLS

• Bachelor's degree in Computer Science, Engineering, or related field
• Azure certifications (Azure Fabric/Data Engineer Associate, Azure Solutions Architect)
• Experience with containerization technologies (Docker, Kubernetes)
• Knowledge of data governance and compliance frameworks
• Familiarity with monitoring and observability tools (Azure Monitor, Grafana, etc.)
• Experience with agile development methodologies

More About PALO IT 

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to: 

• Become a climate net-zero company  
• Deliver projects with a positive impact
• Train 100% of our workforce on impact   
• Achieve B Corp certification among all our offices across the globe   
• Continuously measure & improve employee happiness  

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges. 

What We Offer 

• Stimulating working environments
• Unique career path
• International mobility  
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship 

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.