Total 14 job vacancies by Base Camp Digital Pte. Ltd.

Senior SOC Analyst – L3
Singapore | 12-Month Contract (Highly Extendable) 

The Role

We're looking for a sharp, experienced Senior SOC Analyst to join an established inhouse cybersecurity team in Singapore. This is a hands-on Tier 3 role - you'll be the go to expert when incidents escalate, the person who mentors junior analysts, and the one building better detection and response capabilities for the organisation. You'll work closely with a Cybersecurity Manager and be the primary point of contact for Managed Service providers, leading incident response calls and translating complex threats into clear actions for leadership.

What You'll Be Doing

Monitoring & Incident Response

• Monitor network traffic, logs, and alerts and act fast when something looks wrong
• Lead incident response calls and coordinate with internal and external stakeholders
• Prepare incident reports and executive summaries for management

Threat Intelligence & Forensics

• Stay ahead of the threat landscape - tracking global advisories and mapping them to internal systems
• Deep-dive forensic investigations on affected systems and networks
• Develop and implement advanced detection rules, automation, and response tools

SOC Operations

• Guide and mentor outsourced Tier 1 and Tier 2 SOC analysts
• Continuously improve SOC processes, playbooks, and detection methodologies
• Lead post-incident reviews and tabletop exercises
   

Security Operations

• Hands-on with enterprise security tools - PAM (Privileged Access Management), WAF, firewalls, EDR
• Work with Infrastructure and End User teams to close security gaps
• Support compliance, audits, and cybersecurity awareness campaigns

What We're Looking For

• 5+ years in security operations, incident response, or a related cybersecurity role
• Strong hands-on experience with SIEM tools - Splunk, Microsoft Sentinel, Securonix, or equivalent
• Solid grasp of threat intelligence, TTPs (Tactics, Techniques & Procedures), and digital forensics
• Experience with firewalls, IDS/IPS, EDR, PAM, and WAF solutions
• Able to lead cross-functional teams under pressure and communicate clearly with non-technical stakeholders
• Degree in Information Security, Computer Science, IT, or related field
• Certifications like CISSP, GIAC, GCIA, or GCFA are a strong plus

Key Responsibilities

·      Lead the design and implementation of ESG data, reporting, and analytics solutions across the organization.

·      Define technical architecture, data models, and integration frameworks for ESG data platforms.

·      Collaborate with business stakeholders, sustainability teams, and technology teams to translate ESG reporting requirements into scalable technical solutions.

·      Provide technical leadership to data engineering, analytics, and data science teams throughout the solution lifecycle.

·      Drive the development of ESG dashboards, KPIs, scorecards, and performance monitoring frameworks.

·      Oversee the ingestion, transformation, validation, and management of ESG datasets, including carbon emissions, sustainability metrics, and regulatory reporting data.

·      Establish and enforce ESG data governance, data quality, metadata management, and reporting standards.

·      Ensure ESG solutions align with global reporting frameworks and regulatory requirements, including GRI, SASB, TCFD, ISSB, and other emerging standards.

·      Review technical designs, code, and implementation approaches to ensure scalability, reliability, and maintainability.

·      Lead system integration efforts across internal and external ESG data sources and reporting platforms.

·      Support advanced analytics initiatives, including predictive modeling, sustainability insights, and ESG risk analysis.

·      Manage technical delivery, project planning, risk management, testing, and production deployments.

·      Mentor technical team members and promote best practices in data engineering, analytics, and ESG technology solutions.

·      Act as the primary technical advisor for ESG-related initiatives and stakeholder engagements.

Required Skills and Experience

·      Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Sustainability, Finance, or a related discipline.

·      5+ years of experience in data, analytics, or technology delivery roles, with at least 2 years in a technical leadership capacity.

·      Strong understanding of ESG concepts, sustainability reporting frameworks, and regulatory requirements.

·      Proven experience designing and delivering enterprise-scale data and analytics solutions.

·      Strong expertise in data architecture, data modeling, ETL/ELT processes, and data governance frameworks.

·      Hands-on experience with data visualization and analytics platforms such as Power BI or Tableau.

·      Proficiency in SQL and working knowledge of Python or R for data analysis and automation.

·      Familiarity with cloud-based data platforms and modern data engineering technologies.

·      Experience leading cross-functional teams within Agile delivery environments.

·      Strong knowledge of data quality, master data management, and reporting controls.

·      Excellent stakeholder management, communication, and leadership skills.

·      Ability to bridge business objectives with technical implementation and drive successful project outcomes.

Preferred Qualifications

·      Experience within financial services, banking, consulting, or sustainability-focused organizations.

·      Exposure to ESG data providers, sustainability reporting platforms, or regulatory reporting systems.

·      Knowledge of machine learning, predictive analytics, or advanced statistical modeling techniques.

·      Relevant certifications in ESG, sustainability reporting, cloud technologies, or data management are advantageous.

Salesforce Marketing Cloud Developer

• Location: Singapore (Hybrid Work Model)
• Salary Budget: Up to 11K SGD
• Job Type: 1-year Renewable Contract

About the Role:

We are seeking an experienced Salesforce Marketing Cloud Developer to join a high-impact digital transformation program for a leading enterprise client. In this role, you will be responsible for designing, developing, and optimizing Salesforce Marketing Cloud solutions that drive personalized customer engagement, marketing automation, and data-driven campaigns.

Key Responsibilities:

• Design, develop, and maintain Salesforce Marketing Cloud solutions to support marketing and customer engagement initiatives.
• Build, test, and deploy responsive email templates using Content Builder, HTML, CSS, and AMPscript.
• Develop dynamic and personalized email communications leveraging subscriber and behavioral data.
• Configure and optimize Marketing Cloud Journeys, Automations, Data Extensions, and related platform capabilities.
• Create reusable content and template frameworks to improve campaign efficiency and consistency.
• Collaborate with CRM and Marketing stakeholders to translate business requirements into scalable SFMC solutions.
• Support end-to-end campaign execution, including audience segmentation, personalization, testing, deployment, and performance monitoring.
• Implement complex customer journeys and automated marketing workflows.
• Ensure campaigns are delivered accurately, efficiently, and within agreed timelines.
• Develop and maintain integrations between Salesforce Marketing Cloud and external platforms using REST APIs, SOAP APIs, and custom activities.
• Support data synchronization and integration across Salesforce products and enterprise systems.
• Troubleshoot integration issues and optimize data flows to ensure data accuracy and platform reliability.
• Contribute to solution architecture discussions and recommend best-practice approaches for SFMC implementations.
• Develop and execute testing strategies for email campaigns, automations, journeys, and integrations.
• Ensure adherence to coding standards, platform best practices, and deployment processes.
• Implement and maintain compliance, security, and data governance requirements in accordance with organizational and regulatory standards.
• Identify opportunities for process improvements, automation, and platform optimization.

Required Skills & Experience:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 4+ years of hands-on Salesforce Marketing Cloud development experience.
• Proven experience delivering enterprise-scale SFMC solutions and campaigns.
• Strong understanding of email marketing best practices and marketing automation concepts.

Preferred Qualifications:

• Salesforce Marketing Cloud Developer Certification.
• Salesforce Marketing Cloud Email Specialist Certification.
• Experience integrating Salesforce Marketing Cloud with Salesforce Sales Cloud.
• Exposure to Salesforce Data Cloud.
• Knowledge of customer data platforms (CDP), customer journey orchestration, and omnichannel marketing.
• Experience working within regulated industries or large enterprise environments.

Sitecore AI Engineer

Lead the end-to-end design and implementation of enterprise-grade digital experiences, integrating Sitecore XM Cloud for content delivery with Sitecore Order Cloud for complex B2B/B2C commerce logic.

• Headless Development: Implement and enhanced modern digital experiences by connecting Next.js (v14/15+) frontends to Sitecore XM Cloud using JSS, GraphQL, and TypeScript.

• Component Engineering: Design and implement high-quality, reusable components and templates that align with enterprise architecture standards.

• Commerce Logic Execution: Implement complex commerce features within OrderCloud, such as custom pricing, inventory logic, and transactional workflows.

• Performance Optimization: Own the implementation of modern rendering strategies like SSG (Static Site Generation) and ISR (Incremental Static Regeneration) to meet high Google PageSpeed benchmarks. Also experience on writing the performance optimised code.

• DevOps & Observability: Manage CI/CD pipelines (Vercel, Azure DevOps) and build in logging, monitoring, and proactive alerting from day one. Experience with Vercel deployments

• Mentorship & Quality: Conduct thorough code reviews and provide technical guidance to junior developers to ensure code adheres to quality and security standards.

• Sitecore other components: Conduct understanding and experience of Sitecore components like CDP, analytics, Content hub, sitecore search

Technical Stack & Requirements

• Experience: Typically 5+ years of .NET/C#/sitecore web development and 2-3 years of production experience specifically on Sitecore XM Cloud.

• Primary Languages: Expert proficiency in TypeScript, React, and GraphQL.

• Platform Mastery: Deep knowledge of Sitecore Headless Services (JSS), Experience Edge, and SXA.

• Hosting: Demonstrated success with Vercel deployments and cloud-native development patterns.

• Certifications: Certified developer for XM cloud developer or Sitecore AI developer.

1. ETL Development

• Design, develop, and maintain end-to-end ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks.
• Write complex, high-performance T-SQL queries, stored procedures, and functions to transform raw data into actionable insights. Optimize data loads for performance and scalability within Azure SQL Database and Synapse Analytics.

2. Quality Assurance & Testing

• Develop and execute comprehensive Data Validation scripts to check for data completeness, transformation logic, and referential integrity. Conduct Source-to-Target mapping validation and performance testing on large datasets. Identify, document, and track data anomalies and bugs, working closely with the engineering team to resolve bottlenecks.

3. Infrastructure & Collaboration

• Work within an Agile environment, collaborating with Data Architects and Business Analysts to understand requirements. Manage version control and CI/CD deployments using Azure DevOps. Monitor pipeline health and set up automated alerts for failure or data drift.

Technical Requirements

SQL Mastery: Deep expertise in SQL (T-SQL/PL-SQL) for data manipulation, optimization, and complex joins.

Azure Data Stack: Hands-on experience with Azure Data Factory, Azure Data Lake Storage (ADLS), and Azure SQL Database. (Knowledge of Databricks/PySpark is a major plus).

Testing Tooling: Experience with data testing tools (e.g., dbt, Great Expectations) or custom Python/SQL testing scripts.

Cloud Infrastructure: Understanding of Azure environment security, Managed Identities, and Key Vaults.

Education: Degree in Computer Science, Information Technology, or a related field, plus 3–5 years of relevant experience.

Job Summary:

We are seeking a Data Analyst to support product decision-making through experimentation, data analysis, and reporting. This role will work closely with product and cross-functional teams to drive data-informed improvements and optimize product performance.

Job Responsibilities:

A/B Testing & Experimentation

• Design, execute, and analyze A/B tests to evaluate BT product features and optimizations
• Partner with the BT Product Manager to define success metrics and measurement frameworks
• Document testing methodologies, learnings, and best practices

BAU Data Analysis & Reporting

• Analyze and report on core BT product metrics, including DAU/MAU and app downloads, etc.
• Build dashboards and reports to track product health and performance trends
• Provide regular data updates to support product planning and decision-making

Cross-Team Collaboration

• Support the broader EMTM team in scaling data-driven product iteration across publications
• Translate data into clear, actionable insights for non-technical stakeholders

Job Requirements:

• 1–2 years of experience in a data analyst or similar role
• Strong proficiency in SQL, with hands-on experience in Athena and BigQuery
• Solid understanding of A/B testing methodology and statistical analysis
• Experience with data visualization tools (e.g., Looker, Tableau, Google Data Studio)
• Strong communication skills and ability to present findings clearly
• A collaborative mindset and willingness to learn

Engineering Manager

Job Type: Permanent
Location: Singapore, Hybrid Work Model
Salary: SGD 168,000 – 180,000 per annum + Insurance Benefits

We are seeking an experienced and hands-on Engineering Manager to lead a high-performing team delivering scalable, data-intensive applications. This role requires a strong balance of technical leadership, people management, and strategic thinking, with the ability to stay close to the code while driving engineering excellence.

You will play a key role in shaping architecture, improving engineering practices, and ensuring the successful delivery of high-quality software in a fast-paced, globally distributed environment. Collaboration across EU and US time zones will be required.

Key Responsibilities:

• Technical Leadership: Define architecture and platform strategy, drive best practices in scalability, performance, and reliability, and contribute hands-on to development and code reviews.
• Data & Platform Engineering: Design and optimize data models, pipelines, and analytical workloads across large-scale systems, ensuring high performance and maintainability.
• Stakeholder Management: Translate business needs into technical solutions, communicate trade-offs clearly, and coordinate delivery across global teams (EU & US time zones).
• People Leadership: Lead, mentor, and grow a high-performing engineering team, driving hiring, performance management, and a culture of ownership and continuous improvement.

Required Technical Skills & Experience:

Core Engineering:

• Strong experience with TypeScript across Back-End and Front-End development.
• Expertise in building and maintaining RESTful and/or GraphQL APIs.

Data Engineering & Databases:

• Hands-on experience with analytical/columnar databases (e.g., ClickHouse, BigQuery, Redshift, DuckDB).
• Strong proficiency in PostgreSQL and MS SQL Server, including performance tuning and query optimization.
• Experience designing and optimizing large-scale data processing systems.

DevOps & Infrastructure:

• Strong experience with Kubernetes (deployment, scaling, troubleshooting in production).
• Hands-on experience with Helm and containerized application deployment.
• Familiarity with cloud platforms (preferably Azure, but AWS/GCP also relevant).
• Experience building and maintaining CI/CD pipelines using GitHub Actions.

Preferred:

• Experience working with OMOP CDM (Observational Medical Outcomes Partnership Common Data Model), including data modelling, ETL pipelines, and schema design.
• Exposure to healthcare data standards (e.g., HL7 FHIR, ICD, SNOMED, LOINC) is a plus.
• Experience working with large-scale unstructured data or analytics platforms.
• Familiarity with modern Front-End frameworks and analytics-driven UI components.
• Background in data-intensive platforms, research, or real-world data applications.
• Contributions to open-source projects is a plus.

Job Type: Full-Time, 100% On-Site
Permanent Role

Role Overview:

We are seeking a highly analytical and detail-oriented Financial Consultant to serve as the financial subject matter expert within ERP implementation projects. This role is critical in ensuring that all financial processes and system configurations are aligned with both global and local accounting standards. You will act as the bridge between accounting principles and ERP system capabilities, translating complex financial requirements into scalable, compliant system workflows. As a key member of the project team, you will work closely with Lead Consultants, Functional Consultants, and stakeholders to design, validate, and optimise financial modules within ERP systems. This position is ideal for professionals who excel at the intersection of finance, systems, and process transformation, and who are passionate about driving financial accuracy through automation and system design.

Key Responsibilities

1. Financial Process Design & Implementation

• Design and configure ERP financial modules, including General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, and Cash Management.
• Develop scalable financial workflows aligned with IFRS and SFRS requirements.
• Ensure proper Chart of Accounts (COA) structure to support operational and reporting needs.

2. Regulatory & Accounting Compliance

• Ensure ERP configurations comply with applicable accounting standards, including IFRS and SFRS.
• Oversee system setups for taxation, revenue recognition, lease accounting, and asset capitalization.
• Stay updated on regulatory changes and assess their impact on ERP configurations.

3. Group Consolidation & Multi-Entity Structures

• Lead the design and implementation of group consolidation processes across multiple entities.
• Configure intercompany transactions, eliminations, and multi-currency handling.
• Ensure accurate and timely group-level financial reporting.

4. Cross-Functional Integration

• Collaborate with functional teams (Procurement, Sales, Inventory, Projects) to ensure accurate financial postings.
• Map operational transactions to correct General Ledger accounts and ensure end-to-end process integrity.
• Validate integration points between financial and non-financial modules.

5. Financial Reporting & Analytics

• Design and develop financial reports, dashboards, and management packs within the ERP system.
• Enable real-time financial visibility and actionable insights for stakeholders.
• Support audit requirements through structured and traceable reporting frameworks.

6. Data Validation, Support & Troubleshooting

• Identify and resolve financial discrepancies, reconciliation issues, and system imbalances.
• Support data migration activities, including validation of opening balances and historical data.
• Provide post-implementation support and continuous improvement recommendations.

Qualifications & Requirements

Minimum Requirements

• Bachelor's degree in Accounting, Finance, or a related discipline.
• Minimum 3 years of experience in ERP financial consulting or as a Systems Accountant / Finance Transformation professional.
• Strong working knowledge of IFRS and SFRS, with the ability to translate standards into system configurations.
• Proven experience in financial data analysis, reconciliation, and troubleshooting complex ledger issues.
• Strong analytical thinking, problem-solving, and stakeholder communication skills.

Preferred Qualifications

• Professional certification such as CA, CPA, or ACCA (active membership preferred).
• Experience in managing financial workstreams in full-cycle ERP implementations.
• Hands-on experience with group consolidation, intercompany eliminations, and multi-currency environments.
• Proficiency in financial reporting tools and advanced Microsoft Excel (e.g., pivot tables, data modelling).
• Familiarity with leading ERP platforms (e.g., Microsoft Dynamics 365, SAP, Oracle, NetSuite) is an advantage.

Job Opportunity: Permanent Role 100% On-Site from Monday to Friday

Role Overview:

The Project Coordinator plays a critical role in supporting the successful delivery of ERP implementation projects. Working closely with the Lead Functional Consultant, Project Managers, and clients, you will ensure that all project activities are well-coordinated, documented, and executed on schedule. This role focuses on maintaining operational efficiency across multiple workstreams managing timelines, tracking deliverables, and facilitating clear communication between stakeholders. It is ideal for a highly organized and detail-oriented individual who thrives in a fast-paced, structured project environment.

Key Responsibilities:
Project Coordination & Suppor

• Assist in the end-to-end coordination of ERP implementations, change requests, and support engagements
• Support project managers and consultants in ensuring smooth project execution

Schedule & Resource Tracking

• Maintain and update project plans, timelines, and resource allocations
• Proactively follow up with team members to ensure timely completion of tasks

Documentation & Reporting

• Prepare and distribute project status reports, meeting minutes, and action logs
• Maintain a centralized, accurate, and audit-ready project repository

Progress Monitoring & Risk Escalation

• Track project milestones, deliverables, and dependencies
• Identify potential risks, delays, or blockers and escalate them appropriately

Stakeholder Coordination

• Act as a coordination point between internal teams, clients, vendors, and subcontractors
• Organize and schedule meetings, workshops, and User Acceptance Testing (UAT) sessions

Administrative & Governance Support

• Manage project-related administrative tasks, including documentation and reporting
• Assist in tracking project progress against scope, timelines, and budgets
• Support preparation of internal and client-facing management reports

Key Requirements

• Diploma in Computer Engineering, Computer Science, Information Technology, or a related discipline
• 1-3 years of experience in project coordination, project administration, or IT support
• Basic understanding of ERP domains (e.g., Finance, Purchasing, Sales, Inventory)
• Proficiency in Microsoft Office applications, particularly Excel and PowerPoint
• Familiarity with project management or tracking tools (e.g., Jira, MS Project, Asana)
• Strong organizational and multitasking abilities with attention to detail
• Ability to work under pressure and manage competing priorities effectively

Preferred Qualifications

• Experience supporting ERP implementations (e.g., Epicor or SAP)
• Certification in project management (e.g., CAPM or equivalent)
• Ability to understand and translate technical concepts for business stakeholders
• Strong communication and interpersonal skills

Role Summary:

We are seeking a hands-on Data Engineer to spearhead our Databricks Proof of Concept (POC) on AWS. You will be responsible for the initial environment setup, security configuration, and designing the framework for our future data platform. Working across diverse AWS and external data sources, you will build a unified, production-ready Databricks environment that validates the platform for broader adoption.

Key Responsibilities:

Platform & Infrastructure Setup

• Configure Databricks workspace integration with AWS (S3, IAM, VPC).
• Design and implement a scalable Medallion Architecture using Delta Lake (Bronze / Silver /Gold layers).
• Build automated ingestion pipelines leveraging Databricks Autoloader.

Data Engineering

• Cleanse and transform raw data from S3, RDS, and APIs into Delta tables.
• Optimize Spark jobs for performance, reliability, and cost-efficiency.
• Connect diverse AWS and external data sources into a unified Databricks environment.

Governance &Evaluation

• Establish data governance standards using Unity Catalog. (Good to have — not a hard requirement for the POC.)
• Configure Databricks Clusters with Autoscaling and Spot Instances to manage AWS spend.
• Define and evaluate POC success metrics covering performance, cost, and ease of use.
• Set up an end-to-end pipeline (Source → S3 → Databricks → BI Tool) within agreed timelines.

Qualifications and Experience:

Must-Have Skills

• Databricks Mastery — Expert knowledge of Delta Lake and Medallion Architecture (Bronze /Silver / Gold).
• PySpark / Spark SQL — Ability to write and optimize Spark code; Python strongly preferred over Scala or R.
• AWS Infrastructure — Deep understanding of S3 (bucket policies, storage), IAM(roles and policies) for secure Databricks access.
• Data Ingestion —Hands-on experience with Databricks Autoloader or Unity Catalog for managed data governance.
• 3–5+ years of professional experience in Data Engineering with PySpark / SQL.

Good to Have

• Networking — VPC configuration and AWS networking concepts.
• AWS Glue or Amazon EMR experience.
• Databricks Certified Data Engineer Professional certification.
• Experience connecting OOTB BI tools to Databricks environments.

Role Summary:

We are seeking for a strategic Data Engineer focused on building and scaling enterprise data platforms and pipelines for an upcoming project. The position combines strong data engineering fundamentals with data strategy, architecture, and governance, while also driving AI-enabled innovation to improve decision-making and user outcomes.

It requires technical expertise, analytical thinking, and stakeholder collaboration across product, engineering, and business teams. The role also emphasizes a mindset of ownership, informed decision-making, and continuous learning to support evolving technologies and product growth.

Key Responsibilities:

This role spans end-to-end data engineering, AI, and platform delivery, focused on building scalable data systems that support product, analytics, and policy decisions.

You will design and maintain data pipelines, platforms, and models, deliver analytics and data products, and work closely with stakeholders to turn business needs into actionable insights. The role also includes developing and operationalising AI/ML and LLM-based solutions, supported by strong MLOps practices.

On the platform side, you’ll implement modern data architectures and DataOps practices (e.g., automation, streaming, data observability) to ensure high data quality, reliability, and performance, while managing technical debt.

You’ll also ensure governance, security, and compliance, proactively managing risks in data systems.

Beyond technical execution, the role requires ownership and leadership—driving projects independently, mentoring others, collaborating cross-functionally, and contributing to broader strategy, technology decisions, and organisational impact.

Requirements:

Experience & Education

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
• At least 5 years of experience in data engineering.
• Proven experience delivering data platforms or products in large-scale, enterprise environments.

Technical Skills

• Strong expertise in data modelling (OLTP, OLAP, dimensional modelling).
• Experience with cloud data platforms and tools (e.g. AWS, Databricks, Redshift, Data Lakes).
• Proficiency in big data technologies (e.g. Hadoop, Spark, Kafka, Flink).
• Strong programming skills in Python, Scala, or Java.
• Experience with CI/CD and DataOps practices (e.g. SHIP-HATS or equivalent).
• Expertise in data integration techniques (e.g. ETL/ELT, streaming, APIs).

AI & Machine Learning (Advantageous)

• Understanding of machine learning and LLM concepts, including prompt engineering and AI application development.
• Familiarity with MLOps practices and cloud-based ML deployment.
• Awareness of responsible AI principles (fairness, robustness, safety).

Role Summary:

We are looking for a skilled Data Engineer to design, build, and maintain scalable, cloud-native data platforms. The ideal candidate has strong programming and SQL skills, hands-on experience with AWS, and a solid understanding of data modelling, ETL pipelines, and big data processing frameworks.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and data platforms.
• Build and optimize ETL/ELT workflows using PySpark, Pandas, and SQL.
• Work with large datasets using distributed processing frameworks such as Apache Spark.
• Design and implement data models to support analytics and reporting use cases.
• Develop and manage data solutions on AWS cloud platforms.
• Orchestrate data workflows using tools such as Apache Airflow.
• Collaborate with cross-functional teams to deliver reliable, secure, and high-quality data solutions.
• Implement best practices for data quality, performance, security, and governance.
• Support CI/CD pipelines and automate deployments using DevOps best practices.

Requirements:

• 3+ years of professional experience in Data Engineering or related roles.
• At least 2 years of hands-on experience with cloud-native data services.
• Strong proficiency in one programming language: Python, Java, or .NET.
• Advanced SQL skills with experience writing complex and optimized queries.
• Strong understanding of data modelling concepts (e.g., dimensional modeling).
• Experience with relational databases (PostgreSQL, MySQL).
• Experience with NoSQL databases (DynamoDB, CosmosDB) and data lakes.
• Hands-on experience with distributed data processing frameworks (Apache Spark / PySpark).
• Experience with workflow orchestration tools such as Airflow.
• Familiarity with CI/CD pipelines and Infrastructure as Code tools.
• Experience using Git, Docker, and Terraform is a plus.

Preferred Skills:

• Experience designing end-to-end data architectures in AWS.
• Strong understanding of system design, scalability, and security best practices.
• Good communication skills and ability to work in cross-functional teams.

Salesforce Developer

• Location: Singapore, Hybrid Work Model
• Job Type: 1-year Contract (Renewable)
• Salary Budget: 7-11K SGD Per Month

We are seeking an experienced Salesforce Developer to join a growing technology team supporting enterprise Salesforce implementations. This role is ideal for someone with strong hands-on development expertise across Salesforce Classic and Lightning, and proven delivery experience within Sales Cloud and Service Cloud environments.

You will work closely with business stakeholders, functional consultants, and technical teams to design, build, and enhance scalable Salesforce solutions that drive business impact.

Key Responsibilities:

• Design, develop, and implement Salesforce solutions across Salesforce Classic and Lightning Experience.
• Build and enhance functionality within Sales Cloud and Service Cloud, supporting end-to-end business processes.
• Develop custom solutions using Apex, Visualforce, SOQL/SOSL, Lightning Web Components (LWC), and Aura Components.
• Configure and maintain Salesforce features such as workflows, approval processes, validation rules, flows, and automation tools.
• Collaborate with functional teams to translate business requirements into technical specifications and deliverables.
• Develop and maintain integrations between Salesforce and external systems using REST/SOAP APIs and middleware tools where applicable.
• Support deployment activities, including sandbox management, release planning, and CI/CD processes.
• Ensure solutions follow Salesforce best practices around performance, scalability, security, and maintainability.
• Provide technical support, troubleshooting, and ongoing enhancements for production environments.
• Participate in code reviews, documentation, and mentoring of junior developers where needed.

Requirements:

• Minimum 4+ years of hands-on Salesforce development experience.
• Strong proficiency in both Salesforce Classic and Lightning Experience.
• Solid experience working on Sales Cloud and Service Cloud implementations.
• Familiarity with Salesforce security model, sharing rules, role hierarchy, and governance standards.
• Experience working in Agile project environments with cross-functional stakeholders.
• Strong communication and problem-solving skills.

Good to Have (Preferred Skills)

• Salesforce Platform Developer I (PD1) certification.
• Hands-on experience with OmniStudio, including: OmniScripts, FlexCards, DataRaptors, Decision Tables, Integration Procedures.
• OmniStudio Developer Certification is a strong advantage.
• Experience with DevOps tools such as Copado, Gearset, Jenkins, or Git-based CI/CD pipelines.

Job Summary:

We are looking for a senior hands-on AI/ML engineer to augment the team for the next 6 months.

• Build and scale production-grade full-stack GenAI solutions with a strong emphasis on backend systems, data, and AI/ML engineering.  
• Operate as a true partner to Business leaders - co-framing problems, influencing solution strategy, and co-owning measurable user and business outcomes - not as an execution-only engineering function.  

Job Responsibilities:

Product & Business Partnership  

• Co-own problem discovery with Product / Business: translate objectives into well defined, testable problem statements, user journeys, and technical hypotheses.  
• Challenge assumptions and requirements using user insights, data realities, feasibility constraints, and system impact; recommend alternatives when they better achieve outcomes.  
• Define and track success metrics (e.g., adoption, time saved, conversion, accuracy / quality, latency, reliability, cost-to-serve, risk reduction) and drive iteration when targets aren’t met.  
• Communicate clearly with executive, business, and engineering audiences - articulating trade-offs, decisions, and rationale.  

Solution Leadership

• Lead end-to-end solution for GenAI products: APIs, services, data pipelines, orchestration, LLM integration, retrieval, tool-calling, and UI/UX touchpoints as needed.  
• Make disciplined architectural trade-offs across performance, reliability, cost, extensibility, maintainability, and time-to-value.  
• Design for enterprise realities: identity / access, data residency, compliance constraints, multi-environment deployments, and integration with core systems.  
• Drive platform thinking: prioritize reusable components (libraries, templates, shared services) over one-off builds.  

Agentic & Full-Stack GenAI Applications

• Build and scale agentic GenAI applications that solve multi-step workflows on cloud platforms such as AWS and Azure.  
• Define and implement robust LLM patterns (prompting, RAG, tool orchestration, validation, and evaluation).  
• Implement LLMOps and lifecycle governance for models and prompts, including versioning, evaluation and monitoring.  
• Ensure solutions meet enterprise standards for quality, reliability, latency, and cost.  
• Embed Responsible AI, security, and compliance by design, partnering with Risk, Legal, and Security.  

Engineering Excellence & DevOps

• Provide hands-on leadership across the SDLC: design reviews, coding standards, testing strategy, code reviews, security reviews, and operational readiness.  
• Establish robust CI/CD and standardized environments for services and AI components utilizing cloud services.
• Ensure operational excellence through observability, incident management, reliability practices, and cost optimization.

Job Requirements:

• Proven track record in designing and building GenAI solutions, with a strong expertise in prompt engineering, LlamaIndex, Langchain, RAG, Agentic AI workflow,
• Knowledge graph, AI red teaming libraries, LLM monitoring and evaluation.  
• Over 7+ years of experience in the software development lifecycle as a developer, with a focus on writing production code.  
• Must have hands-on experience working with software development toolkits, and DevOps automation like Kubernetes, Airflow, Jenkins, Jira, Confluence and Git.  
• Excellent programming skills in Python and proficiency in PySpark.  
• Experience in Databricks, AWS bedrock, Microsoft Copilot Studio and Azure ML.  
• Strong leadership skill with ability to influence the thought process and drive alignment.  
• Excellent communication skills and a demonstrated ability to collaborate effectively with cross-functional teams.  
• Self-motivated and highly driven individual who can thrive in ambiguous requirements.