Total 9 job vacancies by Kris Infotech Pte. Ltd.

Job Description:

• Develop and maintain backend services and middleware for OT/IoT data ingestion using OPC-UA, MODBUS, and MQTT protocols.
• Build data pipeline components that normalise, process, and route telemetry from field devices to platform services and 3D visualisation layers.
• Integrate AI coding tools (e.g. Claude, Copilot) into daily development workflows for code generation, unit testing, and validation — this is an expected practice, not optional.
• Write and maintain automated test suites covering protocol adapters, data transformation logic, and integration endpoints.
• Collaborate with frontend Unity engineers and systems architects to define and implement API contracts (REST/WebSocket).
• Participate in code reviews, contribute to technical documentation, and support deployment through CI/CD pipelines.
• Troubleshoot field connectivity and protocol issues; work with OT/hardware teams on device commissioning and debugging.

Requirements:

Must-Have Requirements:

• Hands-on experience with OPC-UA, MODBUS, and MQTT — protocol implementation, not just conceptual familiarity.
• Proficiency in backend development (Python, Node.js, Go, or Java — at least one).
• Active use of AI tools for coding, testing, and validation in prior roles or personal projects.
• Experience writing integration and unit tests; familiarity with test automation frameworks.
• Comfortable working with message brokers (MQTT brokers, Kafka, or similar) and time-series or event-driven data.

Good to Have:

• Exposure to digital twin platforms or industrial IoT stacks.
• Familiarity with OT security considerations (network segmentation, secure protocol configuration).
• Experience with containerisation (Docker/Kubernetes) and CI/CD tooling.
• Knowledge of BACnet, DNP3, or other industrial protocols.

Experience:

• 2–5 years in backend or systems software engineering, with at least some exposure to OT/IoT environments.
• Degree in Computer Science, Engineering, or equivalent practical experience.

Job Description:

• Lead the design and development of interactive 3D visualization interfaces using Unity 3D, including real-time digital twin dashboards and OT operational views.
• Architect and implement geospatial rendering systems - integrating map layers, coordinate systems and spatial data into Unity-based frontends.
• Design and deliver seamless integration between Unity frontend components and backend systems, middleware, IoT/OT data pipelines, and REST/WebSocket APIs.
• Collaborate with IoT, OT, and robotics engineering teams to translate telemetry, sensor, and asset data into real-time 3D visualisation.
• Drive technical decisions around rendering performance, level-of-detail (LOD) strategies, shader optimisation, and scene management for large-scale operational environments.
• Build and maintain reusable UI component libraries within Unity, aligned to UX guidelines and design system standards.
• Define and enforce frontend engineering standards, coding conventions, and review practices
• Engage with product owners, systems architects, and client stakeholders to ensure frontend solutions meet functional and non-functional requirements.
• Contribute to CI/CD pipeline integration for build artefacts, automated testing, and deployment workflows.

Requirements:

• Minimum 5 years of software engineering experience, with at least 3 years focused on Unity 3D development in a production environment.
• Demonstrated delivery of Digital Twin or 3D visualisation solutions for operational, industrial, or smart city domains.
• Understanding of IOT integrations such as OPC-UA, Modbus, MQTT, - Middleware integration and BMS integration.
• Understanding of Command and Control (C3) systems.
• Hands-on experience integrating real-time IoT/OT sensor data into interactive 3D or geospatial frontends.
• Track record as a subject matter expert - driving architecture decisions, conducting code reviews, and managing delivery risk.
• Strong understanding of systems engineering principles; able to design frontend components with awareness of full-stack integration constraints.
• Bachelor's degree or higher in Computer Science, Software Engineering, Geospatial Science, or equivalent discipline.
• Comfort using AI to accelerate coding, testing, validation is a must.
• Unity 3D - User Interface (UI) (P5 - Master).
• Security clearance can be secured parallel to onboarding.

Job Description:

• As an IT Helpdesk Support professional, you will be responsible for providing technical assistance and support to end-users who are experiencing software or application related issues.
• You will play a critical role in ensuring the smooth functioning of computer systems and addressing users' concerns promptly and effectively.
• Your expertise and problem-solving skills will be vital in resolving IT-related problems, improving user experience, and maintaining a high level of customer satisfaction.
• The role will also require you to escalate and respond back to users on the outcome of their highlighted issues within the required KPI/SLAs.

Requirements:

Top 3 Mandatory skills:

1. Experience in handling ticket management and escalations in a service desk environment.
2. Strong troubleshooting and problem-solving skills for application-related issues.
3. Hands-on experience with ServiceNow or similar ticketing systems.

Skills which are good to have/optional:

1. Familiarity with ITIL processes (e.g., incident, problem, and service request management).
2. Experience working in SLA/KPI-driven support environments, with an understanding of service performance and reporting expectations.
3. Experience in customer-facing or end-user support roles, with strong communication and user engagement skills.

Job Description:

• Develop and execute automated test scripts using Playwright.
• Design and maintain scalable automation frameworks and ensure high test coverage.
• Perform SIT and UAT automation aligned with business requirements.
• Collaborate with developers, product owners, and stakeholders to understand user stories.
• Participate in Agile ceremonies and contribute to test strategy.
• Ensure stability, reliability, and continuous improvement of automation suites.

Requirements:

• 3+ years in software testing with strong automation experience.
• Hands-on expertise in Playwright (TypeScript).
• Experience with Salesforce testing (preferred).
• Good understanding of Agile/Scrum.
• Strong skills in requirement analysis and stakeholder communication.
• Experience with CI/CD integration is a plus.

Job Description:

1. Security Monitoring & Incident Response:

• Monitor security alerts and events from SIEM, EDR, and other security tools.
• Investigate and triage security incidents, including malware, phishing, and
• unauthorized access attempts.
• Perform root cause analysis and recommend remediation actions.
• Escalate incidents based on severity and impact.

2. Threat Detection & Analysis:

• Analyze logs from servers, endpoints, network devices, and applications.
• Identify anomalies and potential threats using correlation rules and use cases.
• Support threat hunting activities to proactively detect hidden threats.

3. Security Tools & Technologies:

• Manage and optimize tools such as SIEM (e.g., Splunk), EDR, IAM, and vulnerability scanners.
• Assist in fine-tuning detection rules and reducing false positives.
• Support integration of new security technologies.

4. Vulnerability & Risk Management:

• Conduct vulnerability assessments and track remediation efforts.
• Work with system owners to address identified risks.
• Support risk assessments, especially for legacy systems and exceptions.

5. Compliance & Governance:

• Ensure adherence to security policies, standards, and baseline configurations.
• Support audits (internal/external), including evidence gathering and documentation.
• Assist in maintaining compliance with regulatory frameworks (e.g., ISO 27001, MAS TRM, NIST).

6. Configuration & Change Monitoring:

• Monitor critical system configuration changes.
• Validate compliance with hardening baselines across environments.
• Identify and report deviations with proper risk tracking.

7. Reporting & Documentation:

• Prepare incident reports, dashboards, and security metrics.
• Document playbooks, procedures, and use cases.
• Provide regular updates to stakeholders on security posture.

Requirements:

• Bachelor’s degree in Cybersecurity, Information Technology, or related field.
• 4–10 years of experience in a Security Operations or similar role.
• Experience in regulated environments. (e.g., financial services)
• Exposure taudit and compliance processes.

Technical Skills:

• Experience with SIEM tools (e.g., Splunk).
• Knowledge of Windows/Linux systems and Active Directory environments.
• Understanding of network security concepts (firewalls, IDS/IPS, VPNs).
• Familiarity with endpoint security and identity access management.
• Basic scripting skills (e.g., Python, PowerShell) are a plus.
• Security Knowledge.

Understanding of:

• Threat landscape and attack vectors.
• Security frameworks and standards.
• Incident response methodologies.
• Vulnerability management processes.

Soft Skills:

• Strong analytical and problem-solving skills.
• Good communication and stakeholder management.
• Ability to work under pressure in incident scenarios.
• Detail-oriented with strong documentation skills.

Preferred Skills and Experience:

• Certifications such as CompTIA Security+, CEH, GIAC, CISSP (for more senior candidates)

Job Description:

Software Engineering & Craftsmanship:

• Embed Clean Code principles (e.g. SOLID, DRY, YAGNI) as non-negotiable standards across all teams.
• Own the engineering quality framework: code review standards, static analysis gates, test coverage requirements, and performance benchmarks.
• Lead by example — contribute to critical codebases, perform deep technical code reviews, and pair-program with engineers to model best practice.
• Drive Test-Driven Development (TDD) and Behaviour-Driven Development (BDD) adoption to improve correctness and documentation.
• Define and enforce Definition of Done (DoD) criteria that include architectural, security, and performance quality gates.

Software Architecture:

• Design end-to-end architectures for capital markets platforms (pricing engines, order management, risk, post-trade) prioritising low latency, fault-tolerance, and auditability.
• Define and govern technology standards, patterns, and reference architectures across the division.
• Drive architectural reviews and Architectural Decision Records (ADRs), ensuring decisions are documented, peer-reviewed, and communicated.
• Balance tactical delivery needs with long-term architectural health — managing trade-offs transparently.
• Champion event-driven, domain-driven, and cloud-native architectures where appropriate.

GenAI / Agentic AI for Software Engineering:

• Integrate GenAI/Agentic AI into engineering workflows to accelerate coding, testing, documentation, and troubleshooting.
• Build reusable GenAI, MCP components, prompt libraries, engineering agents, automated test generators and code refactoring assistants.
• Partner with enterprise AI teams to ensure governance, data safeguards, and safe model usage.
• Track and report measurable productivity, quality, and cycle-time improvements enabled by GenAI.

Chapter Leadership:

• Lead and grow the Engineering Chapter: a cross-filiere community of practice for software engineers across Capital Markets IT.
• Convene regular Chapter sessions , tech talks, architecture story boards, refactoring workshops, and book clubs to foster continuous learning.
• Define and maintain a shared engineering competency framework and career ladder for software engineers.
• Mentor senior and principal engineers; provide structured technical coaching aligned with individual growth plans.
• Collaborate with Tribe Leads and Product Owners to ensure engineering quality does not erode under delivery pressure.

Requirements:

Qualifications and Profile:

• Master or Bachelor’s degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies) faculties.

AI Proficiency:

• Demonstrated ability to effectively utilize AI-powered tools (e.g., GitHub Copilot) to enhance productivity and problem-solving capabilities.
• Understanding of AI/ML fundamentals including prompt engineering, model limitations, and best practices for human-AI collaboration.
• Experience in evaluating AI-generated outputs for accuracy, security, and alignment with business requirements.
• Ability to identify opportunities for AI integration and automation within existing workflows and processes.

Domain & Technical Background:

• 10+ years of software engineering experience, with at least 4 years in a principal, staff, or architect role.
• Core: Deep hands-on expertise in at least one primary language ecosystem.
• Java / Kotlin (Spring Boot, Project Loom, GraalVM).
• Python (asyncio, Cython, NumPy/Pandas for quant workflows).
• C++ (modern C++20, lock-free structures, FPGA/kernel bypass desirable).
• Proven background in Capital Markets IT: trading systems, risk engines, order routing, or post-trade processing.
• Experience designing distributed systems with strong consistency, exactly-once semantics, and sub-millisecond latency requirements.
• Hands-on experience with messaging infrastructure: Kafka, Solace, or similar low-latency brokers.
• Cloud architecture experience (AWS, Azure, or GCP) with an understanding of hybrid cloud patterns common in regulated financial environments.
• Practical experience applying GenAI & Agentic AI tools/frameworks in enterprise engineering workflows.

Craftsmanship & Engineering Excellence:

• Demonstrable commitment to Clean Code and software craftsmanship; able to articulate and teach these principles.
• Experience implementing and governing CI/CD pipelines with quality gates (SonarQube, Checkmarx, Veracode, or equivalent).
• Strong understanding of software testing strategies: unit, integration, contract, performance, and chaos engineering.
• Familiarity with Domain-Driven Design (DDD), Event Sourcing, and CQRS patterns in a financial domain context.

Leadership & Chapter / Community of Practice:

• Experience running or participating in a Chapter, Guild, or Centre of Excellence within an Agile/SAFe/Spotify model organisation.
• Demonstrable ability to define and operationalise engineering standards at scale — across multiple squads or delivery teams.
• Strong technical communication: able to translate complex architectural decisions for both engineering and business audiences.
• Track record of developing senior engineering talent through mentoring, structured feedback, and technical coaching.

Desirable Skills:

• Knowledge of real-time analytics and stream processing: Apache Flink, Spark Streaming, or kdb+/q.
• Contributions to open-source projects or published technical writing demonstrating thought leadership.
• Certifications: AWS Solutions Architect Professional, CKA, or equivalent.
• Familiarity with inner source models and developer experience (DX) tooling.
• Exposure to quantitative finance concepts: pricing models, Greeks, VaR, or portfolio risk, trading value chain is appreciated.
• Experience with FIX protocol, SWIFT, FpML, or other capital markets messaging standards.

Technical Governance & Strategy:

• Own the technology radar for Capital Markets IT: assess, trial, adopt or hold technologies in partnership with the global architecture and engineering teams.
• Lead the technical due diligence on vendor solutions, open-source frameworks, and cloud services.
• Track and present engineering health metrics (code quality, deployment frequency, MTTR, change failure rate) to leadership.
• Partner with Cloud, Security and infrastructure teams to embed shift-left practices into the SDLC.

Job Description:

• Design, develop, and maintain end to end data pipelines for ingesting, transforming, and delivering data from multiple source systems (databases, files, APIs, streaming platforms).
• Build and optimize ETL / ELT workflows using SQL, Python, and enterprise data integration tools.
• Ensure data pipelines are scalable, resilient, and performant to meet operational and analytical requirements.

Database & Data Platform Management:

• Work hands on with RDBMS platforms such as Oracle, DB2, SQL Server, or PostgreSQL for data extraction, transformation, and performance tuning.
• Develop and optimize SQL queries, views, and stored procedures to support reporting and analytics use cases.
• Support data modelling activities (logical and physical) for analytics and reporting layers.

Data Quality, Governance & Operations:

• Implement data validation, reconciliation, and monitoring to ensure data accuracy, completeness, and consistency.
• Support operational data activities, including incident investigation, root cause analysis, and remediation.
• Maintain clear documentation for data pipelines, schemas, and operational processes to support audits and knowledge transfer.

Collaboration & Stakeholder Engagement:

• Collaborate with business users, product owners, and downstream teams to gather requirements and translate them into technical solutions.
• Work closely with Data Analysts, BI developers, and Data Scientists to enable dashboards, reports, and advanced analytics.
• Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Strong hands on experience with SQL and relational databases (Oracle, DB2, SQL Server, PostgreSQL).
• Experience building and supporting ETL / data pipelines in enterprise environments.
• Solid understanding of data modelling, data quality, and data lifecycle management.
• Ability to troubleshoot data issues and work in production / operational environments.
• Experience with Python for data processing or automation.
• Experience with data streaming technologies (e.g. Kafka, Spark, NiFi).
• Experience with BI and visualization tools such as Tableau, Qlik, or Power BI.
• Knowledge of cloud or hybrid data platforms and orchestration tools.
• Knowledge of Agile / DevOps practices and CI/CD for data pipelines.
• Minimum 2 years working experience.
• 3 must have skillset: SQL, Python, Tableau.

Job Description:

• You will play a pivotal part in designing, implementing, and maintaining scalable cloud infrastructure and CI/CD pipelines to support our mission-critical applications.
• The ideal candidate brings a strong background in AWS cloud services, automation tools, and Linux system administration, with a focus on reliability, security, and efficiency.
• Design, deploy, and manage cloud infrastructure on AWS, including container orchestration with Amazon EKS, serverless computing via Lambda, object storage with S3, and identity/access management using IAM.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation to ensure reproducible and scalable environments.
• Develop and maintain CI/CD pipelines using DevOps tools such as GitLab or Azure DevOps to streamline code deployment, testing, and release processes.
• Collaborate with development and operations teams to troubleshoot issues, optimize performance, and implement security best practices across cloud environments.
• Monitor system health, perform capacity planning, and implement disaster recovery strategies to maintain high availability and compliance.
• Contribute to cost optimization initiatives by analyzing resource usage and recommending efficient AWS configurations.
• Document processes, configurations, and architectural decisions to support knowledge sharing and team onboarding.

Requirements:

Experience:

• At least 3 years of hands-on experience in AWS cloud environments, with demonstrated expertise in core services including EKS (for Kubernetes orchestration), Lambda (serverless functions), S3 (storage solutions), and IAM (security and permissions management).

Certifications:

• AWS Certified Solutions Architect - Associate or AWS Certified SysOps Administrator - Associate.
• Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE).

Technical Skills:

• Proficiency in DevOps tools, including GitLab or Azure DevOps for version control, CI/CD, and collaboration.
• Strong experience with IaC tools such as Terraform or AWS CloudFormation.
• Solid understanding of Linux/Unix systems, scripting (e.g., Bash, Python), and container technologies (e.g., Docker, Kubernetes).

Soft Skills:

• Excellent problem-solving abilities, strong communication skills, and the ability twork collaboratively in cross-functional teams.
• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

Preferred Qualifications:

• Experience with additional AWS services (e.g., EC2, VPC, RDS).
• Familiarity with monitoring tools (e.g., CloudWatch, Prometheus) and security practices (e.g., CIS benchmarks).
• Automation scripts (e.g Powershell).

Job Description:

• Take ownership of one or two application product and its operational aspects of patching, application support etc. For example , able to setup a websphere server in HA mode in PROD and looking at the application patches post setup.
• Familiar with handling and maintaining enterprise container architecture (3 tier architecture), up to 100 envs per site.
• Part in application architecture sessions with build teams to provide inputs on integration points like Web services, gov interfaces for MQ and SFTP.
• Familiar with designing, implementing & administering enterprise level Kubernetes platforms like openshift /cloud foundation.
• Familiar with container provisioning, images, repository lifecyle concepts & deployment of container centric services.
• Familiar with maintaining at enterprise Architectures including web application, Microservices.
• Familiar with DevSecOps tooling and automation concepts.
• Familiar with gov level security concepts in hardening, scanning, security posture and mindset.
• Familiar with AWS administration.

Familiar with setting and defining operational processes:

• OS level patching.
• Application-level patching.
• Operational housekeeping and archival.
• Backup and recovery etc.

Requirements:

• Experienced with designing & implementing enterprise container applications on Kubernetes/OpenShift Orchestration platforms supporting containerized capabilities.
• Have working experience with integration products like IBM MQ messaging and API Gateway, administration, Troubleshooting queues, queue managers, channels . Able to setup & operate MQ.
• Familiar with maintaining at scale enterprise online web architectures, microservices architectures
• Preferably at least 2 years working experience, open for fresh graduate if they are keen to learn and fast learner.