Senior Accountant

Assistant Vice President (AVP) – Production Support

Principal/Staff Engineer – Firmware Development

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

AI Transformation Engineer

Machine Learning Engineer Lead

AVP, Principal Software Engineer (Senior Technical lead)

AI / ML Engineer

L3 Production Support (AS400, RPG), Core Banking

Role Description: <ul><li>Reporting to the Finance Manager, the overall purpose of the Senior Accountant role is to manage the product costing and record to report processes for effective business control.</li></ul> Responsibilities: Financial Performance&nbsp; <ul><li>Coordinating closure of financial period in SAP and ensuring timely and accurate reconciliation of General ledger accounts.</li><li>Coordination of roles/activities leading to end month reporting and preparation of Monthly Management Reports including circularization of weekly podcast numbers, sales report, and monthly EPM upload.&nbsp;</li><li>Provide support with the annual budgeting and quarterly forecast process.&nbsp;</li><li>Prepare accurate and timely product costing for review by Finance manager including vessel-wise landed costs to management/sales team to aide in pricing decisions.</li><li>Review product GR/IR clearing accounts reconciliations and follow up on timely closure of reconciling items.&nbsp;</li><li>Review and co-ordination of submission of supplier Reconciliations: Review of product supplier</li><li>&amp; transporter reconciliations and verification of supplier debit and credit notes ensuring timely supplier payment allocation. Ensure all open items are resolved and follow up for outstanding amounts.&nbsp;&nbsp;</li></ul> People &amp; Culture Leadership&nbsp; <ul><li>Coordination with finance team on book keeping activities leading to end month reporting i.e. sales order process completion, timely booking of suppliers/vendor Invoices.</li><li>Liasing with finance team during TB review and quarterly controls reporting to ensure timely submission of inter-company reconciliations, bank reconciliations, petty cash certificates and customer account reconciliations.</li><li>Liasing with supply and distribution for timely closure of open trade payables.</li><li>Support external stakeholders with information submission (e.g. banks, tax consultants, suppliers etc) Strategy Execution &amp; Transformation&nbsp;</li><li>Review of Trial Balance with emphasis on accuracy and completeness of General Ledger Accounts and up to date reconciliations.</li><li>Digital Transformation: Optimization of SAP and process automation, ensure real time processing. Governance, Compliance &amp; Control</li><li>Fixed Asset Register: Oversee maintenance of Fixed Assets master records with the assistance and support of all assets’ owners.&nbsp;</li><li>Customer Onboarding: Support the commercial team with any analysis required during the customer onboarding process i.e. customer ratio computation.&nbsp;</li><li>Audit Compliance: Assist Finance manager to liaise with and provide information to internal and external auditors and to statutory bodies in line with statutory laws and regulations and drive for closure of identified actions. Assist with KRA Audit Matters &amp; Tax Health Checks by providing necessary support &amp; availing requested information and reconciliations.</li><li>Enhanced Controls Matrix: Ensure timely submission of GR/IR, Supplier/Transporter Accounts, Tax and accruals Reconciliations.</li><li>Regulatory Compliance: Review tax returns prior to filing by 20th monthly and Tax GL Vs Itax reconciliations and VAT account clearing on or before end month.</li></ul> Requirements: <ul><li>A first degree in Accounting/Finance or any related discipline.</li><li>Membership in either of the following professional bodies Certified Public Accountant (CPA-K) or Association of Certified Chartered Accountants (ACCA)</li><li>At least 5 years of post-qualification experience.</li><li>Experience in use of modern accounting/financial techniques and software.</li><li>Must have the experience and capability to ensure timely and accurate preparation of the consolidated financial reports.</li><li>Understanding of finance and accounting principles and standards, responsibilities, code of ethics and certification.</li><li class="ql-align-justify">Ability to identify audit issues, present audit findings and recommendations to the Finance Manager.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Technical Excellence: Lead complex incident resolution and root cause analysis (RCA) by performing deep-dive troubleshooting directly within application code.</li><li>System Stability: Proactively monitor production environments, identify potential bottlenecks, and implement automated solutions to enhance system reliability.</li><li>Technical Execution: Leverage hands-on expertise in one or more of the following: Bash, SQL, REST APIs, or Python to script automation and analyze system logs/queries.</li><li>Stakeholder Management: Serve as a primary point of contact for technical and business stakeholders during critical incidents, providing clear, concise, and timely updates.</li><li>Leadership &amp; Mindset: Champion a proactive culture of service improvement, documentation, and knowledge sharing across the global support team.</li><li>Collaborative Expansion: Work closely with the engineering, infrastructure, and DevOps teams to bridge the gap between development and operations.</li></ul> Requirements: <ul><li>Minimum 5 years of professional experience in IT, with at least 2 years specifically in application support, system administration, or a highly related technical field.</li><li>Demonstrated ability to perform production troubleshooting at the code/scripting level.</li><li>Education: Bachelor’s degree in computer science, Information Technology, or equivalent practical experience.</li><li>Technical Proficiency: Strong hands-on proficiency with Bash, SQL, REST APIs, or Python.</li></ul>

Responsibilities: SUPPORT CUSTOMERS AND DEBUG FIRMWARE <ul><li>Customer engineering support: Act as the primary technical escalation point for Security Firmware on SSD products — triage, prioritize, and drive customer reported security issues to closure within committed response times</li><li>Security feature enablement: Guide customers through the configuration, integration, and validation of SSD security features; including, but not limited to: TCG Opal/Pyrite/Ruby and Enterprise SSC, ATA and NVMe security commands, self-encrypting drive operation, secure boot and signed firmware update, sanitize and cryptographic erase, key management, and device attestation</li><li>Debug and root cause analysis: Reproduce customer, qualification, and field failures in the lab; analyze firmware logs, traces, and bus captures; debug Security Firmware source; and deliver documented root cause and corrective action</li><li>Firmware fixes and validation: Develop, unit test, and functionally validate targeted Security Firmware changes and customer specific configurations and builds, ensuring each change meets the security, functional, performance, and quality/reliability requirements of the technical spec matrix before release</li><li>Vulnerability and incident response: Assess the impact of reported vulnerabilities and security findings on products already in the field, and support mitigation planning, remediation delivery, and customer disclosure</li><li>Customer qualification and compliance support: Support customer security audits, security questionnaires, and certification activities (e.g. TCG specification compliance, FIPS 140-3, Common Criteria), and produce the application notes, integration guides, and technical documentation customers depend on</li></ul> STAKEHOLDER MANAGEMENT <ul><li>Represent our client in direct technical engagement with customer engineering teams, translating Security Firmware behavior, constraints, and risk into terms that are clear to both engineering and non-engineering audiences</li><li>Dedicatedly provide to management, multi-functional team members, and the firmware team consistent, detailed, and properly summarized information regarding customer issues, escalation status, and the progress of firmware fixes</li><li>Maintain accurate issue records, root cause reports, and knowledge base content so that recurring customer questions are answered faster over time</li></ul> PEOPLE DEVELOPMENT <ul><li>Multi-functional Teamwork: Develop and maintain collaborative, open and, constructive relationships with peers, management, and partner teams across firmware development, product engineering, quality, and field applications</li><li>Team Development: Provide technical capability that continuously improves team involvement, morale, and productivity</li><li>Personal Development: Work to continuously improve your technical capability and communication skills</li></ul> AI UTILIZATION <ul><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and requirements.</li><li>Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.</li></ul> Requirements: <ul><li>Bachelors/masters degree in computer or electrical engineering with 5+ years of relevant experience.</li><li>Experience in a customer facing engineering role such as customer engineering support, field applications, sustaining engineering, or escalation management is strongly preferred</li><li>Embedded Security domain knowledge and experience, including cryptography fundamentals (AES, RSA/ECC, SHA), key management, secure boot, and secure firmware update</li><li>Familiarity with storage security standards and features such as TCG Opal and Enterprise SSC, ATA Security, NVMe security and sanitize commands, and self-encrypting drives is an advantage</li><li>Expertise in the use of programming languages (eg. C, C++, RUST), programming tools &amp; environments</li><li>Experience programming in Python for test automation, log parsing, and debug tooling is an advantage</li><li>Understanding of storage interfaces including ideally PCIe/NVMe, SATA, or SAS</li><li>Experience with NAND flash and other non-volatile storage is an advantage</li><li>Experience in storage industry, storage systems, or a related technology is an advantage</li><li>Proficiency in debugging and resolving code problems for firmware applications, including the use of debuggers, firmware trace and log analysis, and protocol analyzers</li><li>Experience with defect tracking, change control, and firmware release processes in a production or sustaining environment</li><li>Excellent written and verbal communication skills, with the ability to manage multiple concurrent escalations under time pressure and stay effective in customer visible situations</li><li>Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes.</li></ul>

Responsibilities: <ul><li>Collaborate and Innovate: Partner with portfolio managers, business managers, and product owners to tackle complex challenges and transform them into purposeful software solutions that drive our success</li><li>Design and Develop: Craft advanced algorithms and applications that significantly improve operational efficiency, enhance decision-making, and propel strategic initiatives forward</li><li>Leverage Emerging Technologies: Harness the power of machine learning and artificial intelligence to create innovative solutions that give us a competitive edge in the industry</li><li>Champion Excellence: Lead peer code reviews and share your technical expertise to cultivate a culture of continuous improvement and excellence</li><li>Ensure Quality: Execute rigorous System Integration Tests and work closely with business users on User Acceptance Tests to guarantee top-tier deliverables</li><li>Document and Guide: Develop comprehensive documentation and user guides to ensure seamless adoption and utilisation of new systems</li><li>Stay Ahead: Continuously explore and integrate emerging technologies to keep our solutions at the forefront of innovation&nbsp;</li></ul> Requirements: <ul><li>At least 5 years of relevant experience in software development, and hands-on experience in solution designing, software testing, and production support</li><li>Proficiency in Agile software development methodologies and practices such as Scrum, Kanban, or Test-Driven Development</li><li>Hands-on technical skills and good competency in Java and related frameworks such as Spring or Hibernate</li><li>Strong experience with Java / C# Dot Net / Typescript / Python</li><li>Preferred experience in relevant domains, including but not limited to the financial sector, such as SaaS integrations, enabling a deep understanding of industry-specific challenges and solutions</li><li>Familiarity with cloud platforms like AWS or Azure and containerisation technologies like Docker and Kubernetes</li><li>Strong team player who is keen to learn, independent, and possesses strong analytical, problem-solving, communication, and interpersonal skills</li><li>Passionate about understanding business requirements and using technology to transform or improve current state</li><li>Familiar with and interested in learning about current and emerging technology landscapes</li><li>Bachelor’s or equivalent degree in Science, Technology, Engineering, and Mathematics (STEM) related discipline is advantageous</li><li>Ability to adapt to a dynamic environment and demonstrate strong prioritisation skills</li><li>Experience leading engineering teams and/or mentoring junior software engineers is advantageous, especially for VP candidates&nbsp;</li></ul>

Responsibilities: Strategy, Framework &amp; Policy Architecture <ul><li>Define Group-wide Data &amp; AI Governance strategy, framework, operating model and roadmap, aligned to business strategy and AI ambitions</li><li>Author and maintain the Groups policy architecture - policies, standards, guidelines and procedures</li><li>Provide oversight, challenge and monitoring of adherence to policies and standards</li><li>Lead the continuous-improvement agenda for governance maturity through targets and metrics</li></ul> Governance Operating Model &amp; Stewardship <ul><li>Establish the governance model: define decision rights (RACI), and Data Owners and Stewardship roles across the business units</li><li>Translate governance topics into business-relevant insights for the relevant audiences.</li></ul> Data Governance, Catalogue &amp; Metadata Standards <ul><li>Set Group standards for data ownership, critical data elements, business glossary, metadata, data classification and dataset certification</li><li>Mandate data contracts on critical datasets and lineage coverage, embedding governance checks into the delivery lifecycle</li><li>Own the access governance standard and govern access to data, balancing innovation with appropriate controls</li></ul> Data Quality Management <ul><li>Own the Group data quality policy and standard - quality dimensions, rule libraries, thresholds and SLAs</li><li>Oversee the data quality operating loop, per-domain scorecards, remediation to SLA and owner-accountability reporting</li><li>Set the dataset certification regime before business use</li></ul> Data Protection, Sharing &amp; Retention <ul><li>Partner with Cybersecurity and Data Protection Office to develop and maintain the data protection framework and policies</li><li>Oversee data-sharing, retention and disposal practices across various stakeholders</li><li>Collaborate with Legal, Privacy and Compliance to ensure data compliance across jurisdictions</li><li>Manage and escalate data protection risks, tracking mitigations to closure</li></ul> Master Data Management <ul><li>Serve as design authority for master data capability, to centralize and manage master and reference data efficiently</li><li>Broker and secure ratification of master data design decisions across systems and stakeholders</li><li>Drive change management, adoption, integration and scaling of the MDM platform across the organization</li></ul> Regulatory Compliance, Risk &amp; Assurance <ul><li>Conduct regulatory horizon scanning across the jurisdictions where company operate, re-baselining policies, controls and plans as laws and standards evolve</li><li>Lead Group-wide Key Risk and Control Self-Assessment initiatives for Data and AI, and coordinate data and AI audits, compliance reviews and inspections</li></ul> Leadership, Reporting &amp; Culture <ul><li>Own the governance KPI metrics, dashboards, and reporting for executive stakeholders</li><li>Serve as the senior liaison between business units and technology on governance requirements</li><li>Be an agent of change inculcating data and AI governance culture and discipline across the organisation</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Information Management, Data/Analytics, Engineering, Law, or a related discipline; a relevant postgraduate qualification is an advantage.</li><li>Ongoing commitment to training and professional development.</li><li>At least 8 years of working experience in data management, including 5 or more years leading Data Governance, Data Quality or Master Data Management programmes in multi-entity or regulated organisations.</li><li>Extensive knowledge of data and AI regulatory, standards, and compliance requirements.</li><li>Experience in AI or model governance, model risk management or responsible-AI programmes, including generative AI; exposure to agentic AI governance is an advantage.</li><li>Proven track record standing up or transforming a governance function and operating model.</li><li>Good understanding of risk management and compliance frameworks and related disciplines such as risk and control self-assessment.</li><li>Experience in designing and delivering a Master Data Management capability.</li><li>Strong hands-on technical fluency: proficient in SQL with working Python; credible with modern data catalogues (e.g. DataHub, Microsoft Purview), data quality frameworks, data contracts and lineage, policy-as-code access models and Git / pull-request-based delivery.</li><li>Relevant certifications such as Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP) or Certified Information Systems Auditor (CISA) are strongly preferred.</li><li>Excellent written and oral communication; skilled at authoring policies, standards, guidelines and executive materials that business and engineering teams can act on.</li></ul>

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: <ul><li>Lead the development effort for cloud-native applications across the Caching Solutions and Rewards System teams, ensuring timely execution against committed business outcomes.</li><li>Drive business commitments by aligning scope, sequencing, and technical approach with Product Management, and ensuring delivery plans are realistic, transparent, and measurable.</li><li>Design and implement continuous integration and continuous delivery (CI/CD) processes to deliver applications to production, fostering a culture of continuous process improvement.</li><li>Provide hands-on technical leadership through architecture/design reviews, code reviews, and guidance to engineers to ensure compliance with standards and best practices.</li><li>Perform Technology Alternate Assessments and create Proofs-of-Concept (as necessary) to validate options and inform technical decisions.</li><li>Work collaboratively with Product Management and Platform Engineering teams during development, launch, and continuing refinement of products iteratively.</li><li>Collaborate with internal technical resources and third-party vendors to resolve issues, understand</li><li>underlying causes, and implement sustainable solutions.</li><li>Work with team members to design, architect, and implement solutions across geographic locations, ensuring effective coordination and consistent engineering execution.</li><li>Coordinate and communicate status across stakeholders, and report delivery progress, risks, and dependency needs to leadership on a regular cadence.</li><li>Maintain deep hands-on technical knowledge by evaluating trends in modern software development practices; continuously learn and stay at the leading edge of industry trends.</li></ul> Requirements: <ul><li>Bachelor’s Degree with 8+ years of system engineering experience, or in lieu of a degree 10+ years of skilled system engineering experience.</li><li>8+ years of Strong hands-on development experience in Java and Spring Boot for building enterprise-grade services.</li><li>5+ years of Proven expertise in designing and implementing cloud-native applications using a microservices-based architecture.</li><li>Solid knowledge of event streaming and processing patterns using Kafka.</li><li>Experience deploying and operating applications on cloud platforms such as AWS and PCF (Pivotal Cloud Foundry).</li><li>Strong understanding of data storage and caching concepts and implementations using GemFire, Redis &amp; Elastic cache.</li><li>5+ years of Working knowledge of database design and persistence using MySQL, Aurora SQL &amp; no SQL.</li><li>Experience with observability, logging, and production monitoring, including tools such as Splunk and New Relic</li></ul>

Responsibilities: <ul><li>Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning.&nbsp;</li><li>Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology.&nbsp;</li><li>Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images.&nbsp;</li><li>To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents.&nbsp;</li><li>Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc.&nbsp;</li><li>Define and estimate technical solutions, document technical approach options and recommendations.</li></ul> Requirements: <ul><li>PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background)&nbsp;</li><li>B. Tech. / B.E. with exceptional academic/professional background&nbsp;</li><li>Image Processing, Pattern Recognition, Computer Vision&nbsp;</li><li>Machine Learning, Deep Learning&nbsp;</li><li>Experience with Medical Image Processing is an added advantage&nbsp;</li><li>Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms&nbsp;</li><li>Strong programming knowledge in Pytorch, Tensorflow&nbsp;</li><li>Hands-on experience in using Deep Learning frameworks and libraries&nbsp;</li><li>Concepts of parallel architecture on GPU is an added advantage</li><li>Should have 4+ years of experience in Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, Image Processing, Object Detection, Pytorch, Tensorflow</li></ul>

Responsibilities: <ul><li>Act as the focal point of contact for technical resolutions while managing the incident, problem and knowledge management processes for the applications in scope.</li><li>Provide comprehensive support to internal customers; achieve resolution to outstanding problems or issues.</li><li>Manage 3rd party product vendors and integration partners to ensure application code fix deliveries are timely and good quality.</li><li>Design appropriate metrics for reporting on key performance and quality indicators.</li><li>Test, maintain and recommend software improvements to ensure strong functionality and optimization.</li><li>Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing.</li><li>Work with business stakeholders to manage and prioritize the overall book of work in terms of problem remediation.</li><li>Contribute to improvement initiatives relating to methods, tools, people, architecture, project management and governance.</li></ul> Requirements: <ul><li>Degree in Computer Science, Engineering or similar domain; Additional professional/technical qualifications will be advantageous.</li><li>At least 6 years’ experience in relevant Banking applications / Information Technology.</li><li>Proficient in IBM AS400 platform, RPG, COBOL, CL programming.</li><li>Good understanding and experience in of Software Development Life Cycle (SDLC) or AGILE.</li><li>Well-versed in service management or production support’s process flow and cycle.</li><li>Experience leading a small team and providing guidance to junior developers.</li><li>Knowledge of Silverlake’s banking software suite is an added advantage.</li></ul>

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51 x code Jobs found

Senior Accountant

Assistant Vice President (AVP) – Production Support

Principal/Staff Engineer – Firmware Development

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

AI Transformation Engineer

Machine Learning Engineer Lead

AVP, Principal Software Engineer (Senior Technical lead)

AI / ML Engineer

L3 Production Support (AS400, RPG), Core Banking

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Senior Accountant

Assistant Vice President (AVP) – Production Support

Principal/Staff Engineer – Firmware Development

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

AI Transformation Engineer

Machine Learning Engineer Lead

AVP, Principal Software Engineer (Senior Technical lead)

AI / ML Engineer

L3 Production Support (AS400, RPG), Core Banking

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