Senior Devops Engineer

Senior Data Engineer (Python)

QA Tester

SVP Domain Lead Core Banking 

Consulting Azure Cloud Engineer

Cloud Solutions Architect

Consulting Principal AWS Cloud Engineer

IOT Solution Architect

Gen AI Solution Architect

Lead UI Engineer

Responsibilities: You will make an impact in the following way: Advanced Troubleshooting:&nbsp; <ul><li>Diagnose and resolve complex issues related to the cloud application, involving in-depth of the application architecture and infrastructure.</li></ul> Root Cause Analysis:&nbsp; <ul><li>Conduct thorough root cause analyses for recurring issues, implement preventive measures, and provide insights for continuous improvement.</li></ul> Automation and Scripting:&nbsp; <ul><li>Develop and utilize scripts and automation tools to streamline processes, improve efficiency, and reduce manual intervention in issue resolution.</li></ul> Documentation:&nbsp; <ul><li>Maintain comprehensive documentation for troubleshooting procedures, system configurations, and resolutions to facilitate sharing and future reference.</li></ul> Customer Communication:&nbsp; <ul><li>Effectively communicate with customers, providing clear and timely updates on issue resolution progress and collaborating on preventive measures.</li><li>You will be responsible for High Performance, Scalable, Robust, and Secure Common SaaS Framework based on AWS/OCP infrastructure.&nbsp;</li><li>This framework allows customers to configure provision, upgrade &amp; monitor various network functions in carrier grade enterprise &amp; telecom networks.&nbsp;</li></ul> Security and Compliance:&nbsp; <ul><li>Ensure the security of systems and applications, adhere to compliance requirements, and implement best practices for data protection.</li></ul> Collaboration:&nbsp; <ul><li>Collaboration with internal and external stakeholders.&nbsp;</li><li>Work closely with development, QA, and operations teams to foster a culture of collaboration and continuous improvement.&nbsp;</li><li>Collaborate with client’s team to gather the requirements.</li></ul> Training and Mentorship:&nbsp; <ul><li>Provide guidance and mentorship to junior team members and promote sharing within the organization.</li><li>Troubleshoot and fix any customer issues identified internally or in the production deployments.</li></ul> Requirements: <ul><li>5-8 years of Experience in DevOps (Jenkins, AWS services, Kafka, Grafana, elastic search, Bitbucket, Git, Deployment, Documentation, Root Cause Analysis reports, Customer interactions etc)</li><li>Experience with Cloud-native SaaS development &amp; virtualization technologies, for example, AWS, ESXi, KVM, HyperV would be a plus.&nbsp;</li><li>Extensive experience in developing distributed system design.</li><li>Prefer experience with microservice architecture, large scale, public cloud, IAM</li><li>Strong knowledge of containerization technologies like Kubernetes and Docker.&nbsp;</li><li>Strong knowledge in public cloud technologies (preferably AWS) and on-premises setups.</li><li>Good knowledge of analysing backend, frontend code whenever required and able to perform some tests as per customer issues.</li><li>Experience with CI/CD tooling like Jenkins etc.</li><li>Experience with version control system like Git, Bitbucket.</li><li>Experience with IaaC (Infrastructure as a Code) tools like Terraform.</li><li>Familiarity with agile development methodologies.&nbsp;</li><li>Lead and participate in various scrum ceremonies.</li><li>Good knowledge of observability tools like Kibana, Elastic stack, Prometheus stack etc.</li><li>Good knowledge of Linux operating system</li><li>Good knowledge of programming languages like Shell scripting, Python etc.</li><li>Knowledge of REST API, API gateways&nbsp;</li><li>Effective communication skills – written, spoken, listening and presentation.&nbsp;</li><li>Great Team player and experience working with global teams and global organizations.&nbsp;</li><li>Bachelor’s in computer science or equivalent.&nbsp;</li><li>Preferably a master’s degree in computer science.</li></ul>

Responsibilities: <ul><li>DevOps assignments within a engineering team or product line.</li><li>Design, implement, and manage scalable, secure, and reliable infrastructure for AI projects.</li><li>Collaborate with data scientists and software engineers to streamline the deployment and operation of AI models.</li><li>Automate the deployment, monitoring, and scaling of AI applications using tools like Kubernetes, Docker, and Terraform.</li><li>Develop and maintain CI/CD pipelines to ensure efficient and error-free code releases.</li><li>Develop and maintain Infrastructure as code (IaC) solutions, automation of deployment, building High Availability network, working on container network</li><li>Monitor system performance, troubleshoot issues, and optimize infrastructure for cost and performance.</li><li>Mentor junior DevOps engineers and provide guidance on best practices and emerging technologies.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li><li>Programming language experience in python, go, shell scripts.</li><li>5+ years of experience in DevOps or a related role.</li><li>Proficiency in cloud platforms such as AWS, Azure（prefer).</li><li>Strong experience with containerization and orchestration tools like Docker and Kubernetes.</li><li>Solid understanding of CI/CD tools such as Jenkins, Azure Pipeline.</li><li>Familiarity with infrastructure as code tools like Terraform or Ansible.</li><li>Familiarity with GitOps</li><li>Excellent problem-solving skills and the ability to work in a fast-paced environment.</li><li>Strong communication skills and the ability to collaborate effectively with cross-functional teams.</li></ul>

Responsibilities: <ul><li>Develop detailed test plans based on project requirements and specifications.&nbsp;</li><li>Provide feedback on quality standards, usability, and areas for improvement.</li><li>Automates test scenarios and expected outcomes.&nbsp;</li><li>Conduct regression, integration, user acceptance, and performance testing.</li><li>Conducts comprehensive testing and risk-based assessments of the testing objects.&nbsp;</li><li>He/She uses source documentation as input and contributes to the planning and implementation of testing activities.&nbsp;</li><li>Leads testing components of large and complex projects, assigns tasks, provides direction to resources, and reports progress to project stakeholders.&nbsp;</li><li>He/She creates and selects tools and methodologies for review and approval by management.</li></ul> ﻿Requirements: <ul><li>Bachelors Degree or International equivalent&nbsp;</li><li>Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field - Preferred&nbsp;</li><li>comprehensive knowledge of technical skills, principles, practices, and procedures of testing methodologies and working knowledge in planning, designing, and conducting QA reviews and inspections.&nbsp;</li><li>He/She provides expertise for key business functions and supporting technologies.&nbsp;</li><li>Provides mentorship and expertise in technologies and processes for Information Services Management (ISM) and Quality Assurance (QA).&nbsp;</li><li>He/She maintains an awareness of emerging technologies to ensure a competitive advantage.</li><li>Experience with both web and client/server based testing</li><li>Minimum 8 Years of Relevant Experience in IT Test Automation.</li><li>Should have strong Mainframe testing [CICS, JCL, DB2, Cobol]</li><li>Must be able to test and debug batch jobs (JCL).</li><li>Must be able to perform backend testing by executing SQL queries.</li><li>Expertise in APIs &amp; Web Services testing</li><li>Hands-on experience in Selenium, TestNG and Cucumber frameworks</li><li>Good in test execution reporting skills</li><li>Expertise in Test Cases Design and Test Data management</li><li>Expertise in tools like PostMan, SOAP UI, WinSCP, Oracle, Jenkins, GitHub and AppDynamics.</li><li>Should be well versed with Agile testing and Continuous Testing</li><li>Experience with Test Management tools</li><li>Knowledge on AZURE DEVOPS&nbsp;</li><li>Understanding of SAFe Agile methodologies</li><li>Should be solution-oriented and have problem solving aptitude</li><li>Should have excellent communication and presentation skills</li><li>Knowledge on Logistics domain will be an advantage</li><li>Good to have Performance Testing experience.</li><li>Knowledge on JMeter / Performance center will be an advantage.</li><li>Any certifications in test automation</li></ul>

Responsibilities: <ul><li>As a Domain Lead for Core Banking, you will be responsible for leading the domain by ensuring alignment with the organisations goals and technology strategies for the bank and centre.&nbsp;</li><li>You will manage a team of over 100 members comprising various roles such as Tech Delivery Manager, Analyst, Developers, L3 Prod Support, Release Manager, DevOps team, and Environment support team.</li><li>You will oversee core banking system implementation for project deliveries, quarterly releases (change requests), and Level 3 production support ticket fixes.</li><li>Additionally, you will co-work with Audit, Risk, and Compliance teams for audit and risk assessment for all related deliverables.</li><li>Collaboration with stakeholders, including the SG Application team, IT, Operations, Testing COE, and Business team, is essential to ensure system stability through quality deliverables.</li><li>You will also manage long-term relationships with solution providers and vendors, lead and mentor IH2 Core Banking team members to motivate them towards excellence, and conduct performance reviews for team members as well as contract renewal for contract resources in the team</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s Degree in related Information Technology disciplines; Additional professional/technical qualifications will be advantageous although not mandatory.</li><li>At least 9 years’ experience in relevant Banking / Information Technology.</li><li>Proficient in Core Banking domain knowledge covering applications, architecture, and database.&nbsp;</li><li>Team management &amp; leadership experience in heading a department or functional unit.&nbsp;</li><li>Good understanding and experience in of Software Development Life Cycle (SDLC or AGILE).</li><li>Knowledge of Silverlake’s banking software suite or AS400 (advantageous).</li><li>Planning, tracking, monitoring the delivery timeline and support team members in their daily task.</li><li>Be able to work under pressure and manage deadlines or unexpected changes in expectations or requirements to meet the milestone.</li><li>Possess strong quantitative, analytical, problem solving and process design skills to translate analysis into solutions that meet business objectives.</li><li>Curious person with strong problem solving &amp; analytical skills.</li><li>Having open mind set and always keen to learn beyond domains under charge so as to build up more holistic knowledge.</li><li>Excellent communication (written and verbal) and inter-personal skills to manage technical and non-technical stakeholders across multiple business units.</li><li>Able to work independently and have a keen eye on details.</li><li>Resourceful team player, who can work on multiple assignments, with minimal guidance.</li><li>Ability to work in a fast-paced, team-oriented environment.</li><li>Results-oriented person with a focus on delivery.</li></ul>

Responsibilities: <ul><li>Design and implement infrastructure solutions using Azure OpenAI, Azure Front Door, and APIM to support Cognitive Services.</li><li>Collaborate with cross-functional teams to integrate AI capabilities into existing and new applications.</li><li>Optimize and manage the performance, scalability, and security of AI infrastructure.</li><li>Develop and maintain documentation for infrastructure design, configuration, and best practices.</li><li>Troubleshoot and resolve complex technical issues related to AI infrastructure.</li><li>Work on cloud infrastructure to ensure seamless deployment and operation of the AI platform.</li><li>Stay updated with the latest advancements in Azure services and AI technologies to ensure the infrastructure remains cutting-edge.</li><li>Provide technical leadership and mentorship to junior engineers and team members</li></ul> Requirements: <ul><li>Software Engineering experience.</li><li>BS Engineering/Computer Science or equivalent experience required; advanced degree preferred.</li><li>Bachelor’s degree in engineering, related field, or equivalent of experience.</li><li>Proven experience in designing and managing Azure-based infrastructure, specifically with Azure OpenAI, Front Door, and APIM.</li><li>Strong understanding of Cognitive Services and AI/ML concepts.</li><li>Proficiency in scripting and automation using tools such as PowerShell, Azure CLI, or similar.</li><li>Excellent problem-solving skills and the ability to work in a fast-paced environment.</li><li>Strong communication skills and the ability to collaborate effectively with diverse teams.</li><li>Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer) are a plus.</li></ul>

Responsibilities: <ul><li>Act as a conduit between Global Architecture (Enterprise Architects) and the Engineering teams..</li><li>Work across/with Architects from different organizations.</li><li>Introduce/train teams with new technology.</li><li>Lead teams toward problem-resolution identifying, researching, &amp; coordinating with resources.</li><li>Evaluate new technologies and their applicability to the business.</li><li>Drive technical direction and architecture evolution via reviews and on-floor leadership.</li><li>Actively monitor the Business Unit system health and design and write proposals.</li><li>Proactively monitor new development to discover subsystems</li><li>Proactively research, monitor, learn, and assess industry/technology advancements</li><li>All other duties as assigned.</li></ul> Requirements: <ul><li>Strong understanding of programming languages, code, and database.</li><li>Expert-level knowledge in programming language(s); e.g., .Net, Java, HTML, Perl, C++, C#, PHP, etc.; or expert level in engineering discipline.</li><li>Expert in a plurality of the following technologies: Parallel and Distributed Processing Systems, Information Retrieval, Data Mining,&nbsp;NaturalLanguage Processing, Very Large Scale Databases, Declarative Languages, and High-Performance Computing.</li><li>Solid working knowledge in a plurality of the following areas: Network Design (LAN and WAN), Storage System Architectures,&nbsp;Service.</li><li>Oriented Architecture technologies, XML and XSLT, and Parallel Processing Architectures (such as SMP and NUMA).</li><li>Experience with a plurality of the following operating systems: Windows Server, UNIX (Linux), and z/OS.</li><li>Strong organization/project planning, time management, and change management skills across multiple functional groups and departments, and strong delegation skills involving prioritizing and reprioritizing projects and managing projects of various size and complexity.</li><li>Advanced problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions; and identifying risks/impacts and schedule adjustments to facilitate management decision-making.</li></ul>

Responsibilities: <ul><li>Demonstrated ability to drive cultural change and advocate for cloud transformation Key Responsibilities Cloud Strategy &amp; Leadership&nbsp;</li><li>Develop and implement a comprehensive AWS cloud strategy, ensuring alignment with business and technology goals.&nbsp;</li><li>Provide technical leadership and advocacy, championing cloud-native best practices and innovation.&nbsp;</li><li>Lead and drive architectural decisions, ensuring scalability, security, and operational efficiency.</li><li>Cloud Architecture &amp; Design&nbsp;</li><li>Architect secure, scalable, and highly available AWS cloud environments.&nbsp;</li><li>Develop and maintain enterprise-wide cloud blueprints, patterns, and frameworks to drive consistency.&nbsp;</li><li>Research and integrate emerging cloud technologies to foster continuous innovation. Infrastructure as Code &amp; Automation&nbsp;</li><li>Lead adoption and implementation of Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Helm.&nbsp;</li><li>Design and optimize CI/CD pipelines to streamline cloud deployments and operations.&nbsp;</li><li>Implement self-healing and automated failover mechanisms to enhance resilience and reliability.</li><li>Kubernetes &amp; Cloud-Native Technologies&nbsp;</li><li>Manage and optimize Kubernetes clusters (EKS, Helm, IAM) for scalability and security.&nbsp;</li><li>Define and enforce best practices for containerized applications and orchestration.&nbsp;</li><li>Improve Kubernetes networking, ingress, and observability solutions to enhance performance. Security &amp; Compliance&nbsp;</li><li>Establish and enforce security best practices for AWS environments, including IAM, WAF, Secret Manager, and encryption.&nbsp;</li><li>Implement zero-trust security models and secure multi-account AWS environments.&nbsp;</li><li>Conduct security audits, incident response, and ensure compliance with industry standards. Monitoring, Logging &amp; Reliability Engineering.</li><li>Deploy and manage monitoring tools (DataDog, Splunk, CloudWatch, Coralogix) to ensure visibility and observability.&nbsp;</li><li>Implement SRE principles to enhance system uptime, reliability, and efficiency.&nbsp;</li><li>Conduct post-mortem analysis and drive continuous improvements in cloud performance. Collaboration &amp; Thought Leadership&nbsp;</li><li>Work closely with software developers, system engineers, and security teams to design and implement cloud solutions.&nbsp;</li><li>Provide mentorship, training, and technical leadership to engineering teams.&nbsp;</li></ul> Requirements: <ul><li>10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li>Deep understanding of AWS services, including EC2, EKS, RDS, S3, Lambda, VPC, IAM, Transit Gateway, and CloudFormation.&nbsp;</li><li>Expertise in Kubernetes (EKS, Helm, Daemon Sets, StatefulSets, Karpenter, external-dns, aws-cni).&nbsp;</li><li>Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).&nbsp;</li><li>Hands-on experience managing CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).&nbsp;</li><li>Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).&nbsp;</li><li>Strong networking and security knowledge (DNS, VPC, NAT, Security Groups, IAM).&nbsp;</li><li>Experience designing and developing scalable, production-grade software tools and automation scripts using Python. Preferred Certifications&nbsp;</li><li>AWS Certified Solutions Architect – Professional (or equivalent).&nbsp;</li><li>Additional certifications in Kubernetes (CKA), AWS Security, or DevOps are a plus. Leadership &amp; Soft Skills&nbsp;</li><li>Proven experience leading cloud architecture and strategy initiatives.&nbsp;</li><li>Ability to mentor and guide technical teams in a fast-paced, agile environment.&nbsp;</li><li>Strong problem-solving and troubleshooting skills in complex cloud environments.</li><li>Excellent communication skills with the ability to translate technical concepts for engineering, business, and executive stakeholders.&nbsp;</li></ul>

Role Description: <ul><li>The AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones.</li><li>The ideal candidate should be passionate about designing, building, implementing, and maintaining AI/ML/Generative AI applications.</li><li>Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process.</li><li>The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.</li><li>The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services.</li><li>This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position.</li></ul> Responsibilities: <ul><li>Provide technical leadership and resolve complex technical issues also by guiding and overseeing projects and external collaborations (assess and challenge technical solutions and ensure compliance and security with clients internal requirements)&nbsp;</li><li>Design and implementation of embedded real time systems, ideally as part of an IoT system, including the associated reliability, performance, and security aspects.</li><li>Design of frontends, backends and middleware of applications</li><li>Design client-side and server-side architecture</li><li>Develop and manage well-functioning databases and applications</li><li>Write effective APIs (e.g. JSON schema, Swagger/REST)</li><li>Test software to ensure responsiveness and efficiency</li><li>Create security and data protection settings</li><li>Development of software for desktop and mobile applications including GUI</li><li>Interacting with embedded software engineers</li><li>Interfacing to embedded hardware devices</li></ul> Requirements: <ul><li>Above average degree in Software Engineering, Computer Science, or relevant field</li><li>Proven experience in designing (in term of architecture) an end-to-end IoT solution including cloud assets</li><li>Proven experience in driving external collaborations (SOW, specifications, design reviews, execution, formal acceptance)</li><li>Good knowledge in Cloud technologies, including backend, data modeling and data architecture, cyber-security, front-end developments, IAM and users’ management</li><li>Experience with containers and microservice architectures</li><li>Advanced skills in web and cloud technologies (knowledge of AWS ecosystem is preferred)</li><li>Knowledge of front-end frameworks (e.g. Angular, React, VUEJS)</li><li>Knowledge of back-end languages and frameworks (e.g. Node.js, Java, Python, Express.js, Flask)</li><li>Familiarity with databases (e.g. MongoDB, PostgreSQL)</li><li>Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines</li><li>Experience with Unit Testing</li><li>Decision-making skills, and capable to make justified trade-offs</li><li>Ability to drive suppliers with a long-term partnership mindset</li><li>Written and spoken fluency in English: ability to communicate clearly, formalizing complex topics in a synthetic manner and understandable for non-technical audience</li></ul> We Value: <ul><li>Experience in sensor technology</li><li>Strong customer service mindset and mentality of delivering quality products and services on time and within company cost and profitability objectives</li><li>LEAN development experiences</li></ul>&nbsp;Motivational/Cultural Fit: <ul><li>Result driven</li><li>Problem solving</li><li>Clear and concise communication</li><li>Passion for technology and innovation</li><li>Cross-Team Collaboration</li></ul>

Role Description: <ul><li>The AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones.</li><li>The ideal candidate should be passionate about designing, building, implementing, and maintaining AI/ML/Generative AI applications.</li><li>Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process.</li><li>The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.</li><li>The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services.</li><li>This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position.</li></ul> Responsibilities: <ul><li>Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts.</li><li>Data Analysis, Tool and Framework selection, Model Development, Testing and Deployment.</li><li>Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models &amp; GenAI solutions.</li><li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li><li>Understand and contribute to MLOps and LLMOps focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li><li>Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.</li><li>Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies.</li><li>Audit AI tools and practices across data, models and software engineering focusing on continuous improvement and feedback mechanisms.</li><li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li><li>Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments.</li><li>Work closely with the business, segment analytics, IT teams and partners to deliver the outcome and help drive adoption.&nbsp;</li><li>Hands-on prototyping of new technology solutions by working with cross teams</li></ul>&nbsp;Requirements: <ul><li>15+ Years of Experience operating on AWS Cloud or other cloud hyperscalers with building Data and AI Solutions</li><li>15+ Years of Experience Data Warehouses, Data Lakes and Data Modelling techniques</li><li>15 + years of experience in Data Science, Statistics, and Machine Learning</li><li>15+ years of experience in machine learning model development, natural language processing, and data analysis;</li><li>Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.</li><li>15+ years of experience in implementing cloud-based AI/ML workloads on any cloud hyperscalers (AWS, Google or Azure).</li><li>Good understanding and implementation experience on GenAI models available with Cloud hyperscalers. AWS Bedrock experience is a plus but not required.</li><li>15+ Years of coding experience with Python, R, SQL etc.</li><li>Hands on experience working with LLM/RAG/Finetuning</li><li>Experience working on Agile projects and Agile methodology in general.</li><li>Experience in configuration management tools and defining configuration management schema</li><li>Excellent problem solving, communications, and teamwork skills.</li><li>Exceptional presentation, visualization, and analysis skills</li></ul> Motivational/Cultural Fit <ul><li>Innovation demeanor Problem solving.</li><li>Passion for technology.</li><li>Self development.</li><li>Results driven.</li><li>Clear and concise communication both locally and globally.</li></ul> Competencies <ul><li>Values: Integrity, Accountability, Teamwork, Innovation.</li><li>Knowledge of business ethics and Ethical Sourcing Requirements.</li><li>Ability to influence at an Executive Level both internally and externally.</li><li>Ability to lead and influence peer groups both internally and externally.</li><li>Knowledge of Total Cost of Ownership methodology (TCO).</li><li>Distributor/Supplier dynamics &amp; business models.</li><li>Knowledge of critical procurement legal requirements and contracting best practices a plus.</li></ul>

Role Description: <ul><li>We are seeking a UI Lead to help create our next-generation products that satisfy our customer’s needs.</li><li>The UI Lead will use their deep professional knowledge and an understanding of the customer environment to propose and develop new and innovative solutions to customer problems.</li><li>They will use their understanding of applied engineering, product lifecycle and technology advancement to help align and solve problems across multiple product lines using similar technology.</li><li>The successful candidate will be hands on and curious with a focus on technology, remote collaboration, the application of engineering principles, and the ability to influence cross functionally to achieve department goals.</li><li>This role will report to the Technical Program Manager and will work from our Pune office</li></ul> Responsibilities: <ul><li>Define the infrastructure and the software architecture for the React-based Front End related to a specific set of products and projects.</li><li>Act as a lead and a mentor to offshore teams, including code review, best practices, architecting, product thinking, and code quality.</li><li>Develop platform software and collaborate across engineering groups to maximize the use of common emerging platform technologies, conventions, technological building blocks.</li><li>Collaborate with Product Management, Architects and Product Owners from various teams and Executive leaders to define the business and technical strategy.</li><li>Collaborate with global engineering leads at various businesses to establish and drive adoption of conventions and innovation.</li></ul> Requirements: <ul><li>Education: Bachelors or higher degree in a related technical field (Electrical, Electronics Engineering/Computer Engineering)</li><li>8+ Years in front end development</li><li>5+ years in architecture, design, implementation, and/or support of a micro front end that consumes high distributed service-oriented architectures, having an architectural sense for ensuring availability, reliability, scalability and security.</li><li>Experience with UI and UX concepts using modular and reusable UI components.</li><li>Experience with refactoring large code bases using safe techniques.</li><li>Experience building CI/CD pipelines. DevOps and Devsecops, version control, and system testing with Gitlab and Jenkins</li><li>Experience creating and obtaining actionable insights from Datadog, Elasticsearch, Prometheus, and Grafana</li><li>Experienced with programming and scripting languages such as JavaScript, CSS, React.js, GO</li><li>Willingness to learn and teach complex technologies.</li></ul>

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12 devops Jobs found

Senior Devops Engineer

Senior Data Engineer (Python)

QA Tester

SVP Domain Lead Core Banking

Consulting Azure Cloud Engineer

Cloud Solutions Architect

Consulting Principal AWS Cloud Engineer

IOT Solution Architect

Gen AI Solution Architect

Lead UI Engineer

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12 devops Jobs found

Senior Devops Engineer

Senior Data Engineer (Python)

QA Tester

SVP Domain Lead Core Banking

Consulting Azure Cloud Engineer

Cloud Solutions Architect

Consulting Principal AWS Cloud Engineer

IOT Solution Architect

Gen AI Solution Architect

Lead UI Engineer

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