Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Test Infrastructure Platform Lead (MTest)

Application Development and Maintenance Manager (Payment), Core Banking (VP 2)

VP, Engineering Manager

Principal Component Validation Engineer (HBM)

Senior App Developer – Java, Production Engineering

HIG HBM PE Principal Component Validation Engineer

Data Security Engineer - Splunk

Senior Production Support Engineer – IDM Engineering (VP2)

Responsibilities: Software Development: <ul><li>Design, develop, test, and maintain scalable software applications using Java Spring Boot and JavaScript for backend and frontend development, respectively. Build clean, reusable, maintainable, and well-tested code following software engineering best practices.</li></ul> Full Stack Application Development: <ul><li>Develop end-to-end web and mobile applications using Java Spring Boot, React or React Native, backend APIs, database integrations, and modern UI frameworks to deliver intuitive user experiences.</li><li>Design and develop secure RESTful APIs, backend services, authentication mechanisms, and data access layers while ensuring application scalability and performance.</li></ul> AI Enable Engineering: <ul><li>Leverage AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, Amazon Q, or similar tools to improve engineering productivity.</li><li>Experience integrating LLM APIs or AI-powered capabilities into applications is desirable.</li></ul> Collabration: <ul><li>Collaborate with Product Managers, Business Analysts, UX Designers, QA Engineers, Architects, and cross-functional engineering teams to understand business requirements and deliver scalable software solutions.</li><li>Participate in sprint planning, technical discussions, estimation, backlog refinement, and Agile ceremonies.</li></ul> Testing &amp; Quality: <ul><li>Develop unit tests, integration tests, and participate in peer code reviews to ensure software quality, maintainability, reliability, and performance.</li><li>Follow secure coding standards and engineering best practices.</li></ul> Cloud &amp; Devops: <ul><li>Contribute to CI/CD pipelines and cloud-native application deployments using technologies such as Docker, Kubernetes, Azure, AWS, GitHub Actions, or Azure DevOps.</li></ul> Continous Improvement: <ul><li>Identify opportunities to improve software architecture, engineering standards, automation, developer productivity, and application performance.</li><li>Adopt AI-assisted engineering workflows and modern software development practices.</li></ul> Technical Support: <ul><li>Troubleshoot production issues, perform root cause analysis, and resolve application issues while ensuring minimal business disruption.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).</li><li>3–5 years of professional software development experience.</li><li>Minimum 3+ years of hands-on full-stack development experience.</li><li>Experience developing production-grade web or mobile applications (not academic or personal projects).</li><li>Strong proficiency in Java Spring Boot and JavaScript.</li><li>Experience developing applications using React or React Native.</li><li>Experience developing backend services using Node.js or equivalent backend technologies.</li><li>Strong understanding of REST API development.</li><li>Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or equivalent.</li><li>Strong knowledge of Git and modern software engineering practices.</li><li>Experience working in Agile/Scrum teams.</li><li>Strong understanding of object-oriented programming, software design principles, and data structures.</li></ul>

Responsibilities: <ul><li>Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.</li><li>Develop and maintain the entire DevOps pipelines.</li><li>Ensure seamless deployment and integration between cloud/prem environments (AWS).</li><li>Integrate AI models into production environments using containerized platforms such as OpenShift.</li><li>Implement and maintain network security protocols to safeguard AI systems and data pipelines.</li><li>Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.</li><li>Monitor and optimize system performance, reliability, and scalability.</li><li>Support CI/CD processes and infrastructure for AI model deployment and updates.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>Bash and Unix/Linux command-line toolkit is a must-have.</li><li>Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA workflow, and Confluence).</li><li>Hands-on experience with OpenShift, Docker, Kubernetes.</li><li>Knowledge of cloud platforms (e.g. AWS) is a must-have.</li><li>Exposure to data and network security and compliance in AI systems.</li><li>Knowledge of API integration and microservices architecture.</li><li>Proficiency in Python used both for automation and ML-related tasks</li><li>Knowledge of Workflow Orchestrator, such as Ctrl-M</li><li>Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.</li><li>Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, Open Telemetry.</li><li>Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.</li></ul>

Responsibilities: People Leadership &amp; Team Management: <ul><li>Lead, mentor, and manage a team of approximately 20 team members across Environment Management, Support, and Development functions.</li><li>Drive team performance, engagement, capability development, and succession planning.</li><li>Manage resource planning, workload allocation, and prioritization across multiple initiatives.</li><li>Foster strong collaboration between environment, support, testing, infrastructure, and application delivery teams.</li><li>Establish a culture of accountability, continuous improvement, and service excellence.</li></ul> Environment Services Delivery: <ul><li>Lead and oversee end-to-end test environment delivery and management activities.</li><li>Ensure environments are delivered consistently, securely, and within agreed timelines.</li><li>Drive environment planning, provisioning, configuration, maintenance, and operational readiness.</li><li>Manage competing environment demands across projects, testing cycles, and releases.</li><li>Ensure environment availability and performance to support SIT, UAT, Regression, Performance Testing, and Mock Execution activities.</li></ul> Infrastructure &amp; Technical Oversight: <ul><li>Provide leadership and oversight across:</li></ul> Infrastructure Platforms: <ul><li>Windows Server</li><li>Linux Server</li></ul> Database Platforms: <ul><li>Microsoft SQL Server</li><li>Oracle Database</li></ul> Middleware Platforms: <ul><li>Apache Web Server</li><li>JBoss EAP</li><li>Oracle WebLogic</li></ul> Integration &amp; File Transfer Services: <ul><li>SFTP Services</li><li>IBM MQ issue coordination and triaging</li><li>IBM Sterling Connect: Direct</li></ul> Network &amp; Connectivity Management: <ul><li>Firewall and network access requests</li><li>DNS and connectivity coordination</li><li>Infrastructure dependencies and environment access management</li><li>While hands-on technical expertise is important, the primary focus is leading delivery, governance, support operations, and cross-functional coordination.</li></ul> Support &amp; Service Management: <ul><li>Lead environment and operational support services.</li><li>Oversee incident, problem, and service request management processes.</li><li>Drive root cause analysis and service improvement initiatives.</li><li>Manage escalations and ensure timely resolution of critical issues.</li><li>Monitor service performance, KPIs, SLAs, and operational metrics.</li><li>Ensure support processes and operational controls are consistently followed.</li></ul> Governance &amp; Stakeholder Management: <ul><li>Act as the primary point of accountability for environment governance and service delivery.</li><li>Coordinate activities across Development, Testing, Infrastructure, Security, Database, Middleware, and Business teams.</li><li>Facilitate environment allocation, conflict resolution, prioritization, and risk management.</li><li>Provide regular reporting, updates, and recommendations to management and stakeholders.</li><li>Drive planning and coordination for project releases, environment readiness, and deployment activities.</li></ul> Environment Operations &amp; Continuous Improvement?: <ul><li>Lead environment monitoring, health checks, and operational reviews.</li><li>Coordinate data refresh, migration, restoration, and test data management activities.</li><li>Govern maintenance schedules, outage planning, and stakeholder communications.</li><li>Drive automation, process optimization, and operational excellence initiatives.</li><li>Support Disaster Recovery (DR) planning and execution activities.</li></ul> Requirements: <ul><li>8-12 years of overall IT experience.</li><li>Minimum 5 years of people management experience.</li><li>Proven experience managing teams of approximately 15-20+ resources.</li><li>Experience leading both Development and Support/Operations teams.</li><li>Experience managing environment services in a large enterprise environment.</li><li>Leadership &amp; Service Management</li><li>People management</li><li>Team performance management</li><li>Service delivery management</li><li>Incident and problem management</li><li>Operational governance</li><li>Stakeholder management</li><li>Resource planning and prioritization</li><li>Escalation management</li></ul>

Responsibilities: <ul><li>Responsible to lead development team to fulfil end-to-end software development and support for all approved initiatives (projects, quarterly change requests, L3 production fixes).</li><li>This includes analysis and design to development, implementation, testing and support.</li><li>Collaborate with Enterprise and Domain architects to align application design to the overall architectural guidelines and direction.</li><li>Work with subject matter experts, business analysts, architects, software developers and business stakeholder to establish best or alternative solutions that are feasible within the technology and timeline constraints.</li><li>Review solution design and effort estimates from the team and prioritize projects and change requests assigned to the team.</li><li>Provide quality assurance of the team delivery in conformance to the Bank-defined software delivery methodology and tools.</li><li>This includes delivery of source codes in compliance to the Bank’s defined security, coding and change management standards (eg. Veracode, SonarQube, Aldon, BitBucket).</li><li>Drive adoption of methods (E.g. Agile, DevOps ) and industry practices to improve quality and productivity outcomes.</li><li>Anticipate and resolve development issues or risks either independently or together with the relevant stakeholders.</li><li>Provide timely escalation of issues that impacts development schedule with proposed options for resolution.</li><li>Lead or contribute to cross-team improvement initiatives relating to methods, tools, people, architecture, project management and governance.</li><li>Provide regular, timely updates and escalation to Core Banking Head of Tech Delivery &amp; Development.</li><li>Partner with Test Managers to formulate comprehensive SIT test documents and build test automation and ensure completion of Unit test, SIT, User Acceptance Testing (UAT), performance / load testing and application security testing with quality results.</li><li>Manage people development aspects for the Core Banking delivery team, select, train, develop and manage technical team members in a conducive team environment.</li><li>Create technical documents for the solutions. Compile timely, comprehensive and accurate documentation and or reports as requested.</li><li>Development of technical specifications and plans.</li><li>Analyze functional specs and convert requirements to design document.</li><li>Conduct Functional Specification review with business and test team.</li></ul> Requirements: <ul><li>Good exposure and experiences in ATM in payments switch processing (e.g. ATM Transactions processing from ATM/CDM Machines, Local Switch for NETS/ ITMX / PCC/ BCS/ Paynow and Shared ATM network).</li><li>Sound knowledge on payments real time processing such as FAST &amp; PayNow services and Payment middleware switches with experience in Exception Handling &amp; Investigation, Interbank Clearing/Clearing channels, Payment Acquisition, and Payment Gateway</li><li>More than 8 years proven track record in developing and delivering global/regional IT capabilities for a multi-national/regional company.</li><li>Proven result-oriented career with a focus on development and support.</li><li>Good problem solving, analytical, synthesis, system thinking and solutioning skills - ability to translate functional specifications to technological solution.</li><li>Highly effective communicating with technical stakeholders, proficient communicating with non-technical stakeholders.</li><li>Good understanding and experience in waterfall and agile software development methodologies.</li><li>Strong knowledge and experiences on Linux/Unix, Shell Script, Batch Script, MQ, Connect Direct, WebLogic and OraclePL/SQL are a must.</li><li>Knowledge and experiences in ATM/Switch Background, Delivery Methodology documentation, and good understanding of SDLC.</li><li>Multi-task and change from one task to another without loss of efficiency or composure.</li><li>Team player and able to work independently with minimum supervision.</li><li>Bachelors degree in computer science, engineering or similar domain</li><li>Related professional/technical qualification (e.g. PMP) will be advantageous although not mandatory.</li></ul>

Responsibilities: People, Talent and Cross-Functional Collaboration:&nbsp; <ul><li>Ensure optimal staffing levels across front-end, back-end, full-stack, and platform specializations.&nbsp;</li><li>Hire, coach, and develop top-tier engineering talent.</li><li>Manage direct reports and technical leads, address performance issues promptly, and build strong relationships with Product, Design, Platform, Data, and agile train leadership to deliver cohesive, customer-focused solutions.</li><li>Community of Practice, Developer Experience and AI-Driven Engineering: As AI tooling becomes inseparable from modern engineering practice, own the convergence of Community of Practice standards and AI adoption as a single discipline.&nbsp;</li><li>Foster best practice adoption across the engineering community with AI tooling treated as a first-class part of the practice.</li><li>Define standards for responsible AI adoption — including when to use AI coding assistants, agents, skills, and MCP integrations versus traditional approaches.</li><li>Establish clear guidance on the distinction between AI Skills (deterministic capabilities) and Agents (autonomous, multi-step workflows). </li><li>Evaluate, pilot, and roll out AI tools (GitHub Copilot, Claude Code, Cursor, Windsurf, Continue.dev, Aider, Cline, Ollama). </li><li>Define governance for AI use in regulated financial services contexts including data handling, PII protection, IP compliance, and code provenance. </li><li>Track and measure the combined impact of CoP practices and AI adoption on cycle time, PR throughput, defect rates, and developer satisfaction.</li><li>System Architecture and Technical Direction: Own a modern view of system architecture spanning client, server, data, integration, and AI layers.&nbsp;</li><li>Champion patterns such as micro-frontends, BFF, event-driven, API-first, serverless, and composable architectures.&nbsp;</li><li>Partner with Enterprise Architects on platform alignment.&nbsp;</li><li>Guide trade-off decisions (monolith vs. microservices, sync vs. async, build vs. buy). Use AI-powered architecture tools to accelerate design exploration and generate ADRs.</li><li>Ensure teams document decisions so both humans and AI agents can reason about the system. </li><li>Understand how AI tools interact with system architecture — including RAG, vector databases, MCP integrations, and agentic workflows.</li></ul> Strategic Planning, Delivery and Operational Excellence:&nbsp; <ul><li>Ensure plans align with CoP goals, review quarterly commitments to flag risks early, and step in to resolve conflicts between product, design, and engineering.&nbsp;</li><li>Drive CI/CD best practices, ensure high-quality scalable solutions across the stack, and provide on-call support during escalations.&nbsp;</li><li>Support tech leads hands-on when needed, regardless of which layer of the stack the problem lives in.</li></ul> Requirements: <ul><li>Strong hands-on background in modern front-end technologies (ReactJS, TypeScript, NextJS, Cypress) as an anchor foundation, with working knowledge of back-end technologies, APIs, microservices, and data layer concepts.&nbsp;</li><li>Experience with AWS cloud services, CI/CD pipelines, and modern DevOps practices.&nbsp;</li><li>Proven ability to lead engineers working across the full stack.</li><li>Solid grounding in system architecture fundamentals — distributed systems, scalability, CAP trade-offs, caching, messaging, API design — and familiarity with modern patterns (micro-frontends, BFF, event-driven, CQRS, serverless, composable architectures).&nbsp;</li><li>Experience making and documenting architecture decisions (ADRs), with understanding of how AI-native architecture (RAG pipelines, vector databases, agent orchestration) differs from traditional architecture.</li><li>Hands-on experience with AI coding assistants (GitHub Copilot, Claude Code, Cursor, or equivalent) with clear understanding of the difference between AI Skills and Agents, familiarity with MCP (Model Context Protocol), RAG patterns, and experience defining AI usage guidelines and governance frameworks for regulated environments.&nbsp;</li><li>Awareness of the open-source AI tooling ecosystem (Continue.dev, Aider, Cline, Ollama).</li><li>Proven experience leading and growing high-performing engineering teams, running or contributing to a Community of Practice, and strong communication skills with the ability to influence across organizational levels.</li></ul>

Responsibilities: <ul><li>Coordinate with internal and external teams to prepare silicon validation activities.</li><li>Partner with manufacturing teams to ensure required resources are available.</li><li>Identify, evaluate, and validate HBM Component Validation equipment and testing flows.</li><li>Ensure silicon performance meets product expectations.</li><li>Debug failures, identify root causes, and implement design or process fixes.</li><li>Collaborate with Design Validation (DV), Quality Assurance (QA), and Global Quality (GQ) teams on customer returns and reliability improvements.</li><li>Partner with Engineering, Manufacturing, and Marketing organizations.</li><li>Develop, troubleshoot, and validate HBM component validation test programs.</li><li>Review datasheets and provide feedback to Application Engineers.</li><li>Prioritize activities across multiple cross-functional teams.</li><li>Provide technical leadership, mentoring, and On-the-Job Training (OJT) for engineers.</li><li>Support technical presentations, seminars, and product-specific expertise.</li></ul> Requirements: <ul><li>Bachelors or Masters Degree with a minimum of 10 years of experience, preferably within the memory semiconductor industry.</li><li>Strong programming experience with Linux, Python, C/C++, Verilog, UVM, and version control systems (Git, SVN).</li><li>Excellent analytical, debugging, and problem-solving skills.</li><li>Strong communication, presentation, and data analytics capabilities.</li><li>Basic understanding of HBM and/or DRAM operation and computer networking.</li><li>Self-motivated with the ability to work effectively in collaborative team environments.</li></ul>

Responsibilities: <ul><li>Own runtime health and operational stability of production services.</li><li>Participate in on-call support rotations.</li><li>Investigate production incidents and implement permanent fixes.</li><li>Develop automation for monitoring, alerting, deployments, and incident remediation.</li><li>Improve system reliability, scalability, and performance.</li><li>Perform capacity planning and performance tuning.</li><li>Support Couchbase and PostgreSQL databases.</li><li>Leverage AI tools to improve engineering productivity and operational efficiency.</li><li>Rotate between SRE and feature engineering teams based on business priorities.</li></ul> Requirements: <ul><li>8+ years of backend software engineering experience.</li><li>Strong Java programming skills.</li><li>Experience with REST APIs and microservices.</li><li>Experience with messaging platforms (AMQ, MQ, Kafka).</li><li>Azure or GCP cloud experience.</li><li>Strong debugging and production troubleshooting skills.</li><li>Experience with Couchbase and PostgreSQL.</li><li>Knowledge of monitoring and logging platforms.</li></ul>

Responsibilities: <ul><li>Coordinate with internal and external teams to prepare silicon validation activities.</li><li>Partner with manufacturing teams to ensure required resources are available.</li><li>Identify, evaluate, and validate HBM Component Validation equipment and testing flows.</li><li>Ensure silicon performance meets product expectations.</li><li>Debug failures, identify root causes, and implement design or process fixes.</li><li>Collaborate with Design Validation (DV), Quality Assurance (QA), and Global Quality (GQ) teams on customer returns and reliability improvements.</li><li>Partner with Engineering, Manufacturing, and Marketing organizations.</li><li>Develop, troubleshoot, and validate HBM component validation test programs.</li><li>Review datasheets and provide feedback to Application Engineers.</li><li>Prioritize activities across multiple cross-functional teams.</li><li>Provide technical leadership, mentoring, and On-the-Job Training (OJT) for engineers.</li><li>Support technical presentations, seminars, and product-specific expertise</li></ul> Requirements: <ul><li>Bachelors or Masters Degree with a minimum of 10 years of experience, preferably within the memory semiconductor industry.</li><li>Strong programming experience with Linux, Python, C/C++, Verilog, UVM, and version control systems (Git, SVN).</li><li>Excellent analytical, debugging, and problem-solving skills.</li><li>Strong communication, presentation, and data analytics capabilities.</li><li>Basic understanding of HBM and/or DRAM operation and computer networking.</li><li>Self-motivated with the ability to work effectively in collaborative team environments</li></ul>

Responsibilities: <ul><li>Create dashboards, alerts, reports in Splunk.&nbsp;</li><li>Maintain and enhance existing reports for business.</li><li>Develop the necessary test cases and perform testing.</li><li>Implement and operationalize the use cases.</li><li>Create and maintain documentation in accordance to Bank standards.&nbsp;</li><li>Ensure appropriate standards and procedures are adhered to during the development process to support quality deliverables.</li><li>Troubleshoot, debug and provide production system support for Data Security Engineering services.</li><li>Coordinate with internal teams and vendors to resolve system issues.</li><li>Execute tasks related to project / change request / maintenance request.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution.</li><li>Data Security product certifications will be favorable although not mandatory&nbsp;</li><li>Overall, 6 years of work experience in information technology and at least 2 years in Cyber Security.</li><li>Working experience in integrating solution with Splunk and developing Splunk contents (alerts, reports and dashboards).</li><li>At least 3 years of relevant experience in managing and deploying Data Security Solutions</li><li>Data Security or Splunk product certifications will be favorable although not mandatory.</li><li>Knowledgeable with the variety of Data Security technologies and familiar with the industry trends and best practices.</li><li>Analytical problem solver and good at troubleshooting technical issues</li><li>Hands-on experience with Windows, Unix or Linux and endpoint management tools (e.g. SCCM, JAMF).</li><li>Proficiency in network technologies, scripting and automation (e.g. PowerShell scripts, Python).</li><li>Advanced level of proficiency in Microsoft Office products.</li></ul>

Responsibilities: <ul><li>Engage in day-to-day support activities including incident and problem management</li><li>Perform production deployments, patch activities on the supported applications and servers.</li><li>Work with product support/development team for permanent resolution/change review – all types including enhancements, bug fixes, etc.</li><li>Work with level 1 support in application knowledge transfer in establishing standard first level recovery process/system health check monitoring/scheduled activities as well as common application user queries.</li><li>Collaborate with internal stakeholders like application, business, infrastructure, security, and operations to continuously improve the stability of applications.</li><li>Develop support operational documents to summarize common support issues.</li><li>Develop reports and drive audit RFI’s and requirements.</li><li>Develop Linux scripts based on the requirements.</li><li>Provide after office hours’ standby support and for emergency recoveries, including managing major incident of critical services.</li><li>Expected to drive improvements through influence and strong relationships with managers in other teams.</li><li>Correlate events across multiple systems to proactively surface and resolve deep, underlying issues.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution</li><li>Professional qualification in information security, such as CISSP / CISM / CEH, or data Security product certifications will be advantageous.</li><li>9 to 12 years relevant experience</li><li>Strong working knowledge on Oracle Identity Governance 12c, Oracle Database, WebLogic, BI Publisher, Oracle Connectors, Linux, Unix &amp; Windows Enterprise Server OS, with mixed skills around administration, performance tuning and troubleshooting</li><li>Working knowledge of Python, java, Java Scripts,</li><li>Knowledge in network infrastructure like Load balancers, Firewalls, SSL etc</li><li>Working Knowledge on Directory - LDAP and AD Databases</li><li>Strong knowledge of Oracle SQL and proficient in writing complex SQL queries with hands on experience with reporting tools along with excellent computational ability.</li><li>Strong understanding of cybersecurity principles and frameworks including ISO 27001 &amp; NIST Cybersecurity Framework;</li></ul>

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17 linux server Jobs found

Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Test Infrastructure Platform Lead (MTest)

Application Development and Maintenance Manager (Payment), Core Banking (VP 2)

VP, Engineering Manager

Principal Component Validation Engineer (HBM)

Senior App Developer – Java, Production Engineering

HIG HBM PE Principal Component Validation Engineer

Data Security Engineer - Splunk

Senior Production Support Engineer – IDM Engineering (VP2)

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17 linux server Jobs found

Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Test Infrastructure Platform Lead (MTest)

Application Development and Maintenance Manager (Payment), Core Banking (VP 2)

VP, Engineering Manager

Principal Component Validation Engineer (HBM)

Senior App Developer – Java, Production Engineering

HIG HBM PE Principal Component Validation Engineer

Data Security Engineer - Splunk

Senior Production Support Engineer – IDM Engineering (VP2)

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WhiteCrow is on a mission to connect companies with the best talent across the globe.