Senior Devops Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

QA Tester

SVP Domain Lead Core Banking 

Senior Data Scientist II

Java Tech Lead/Architect

Consulting Azure Cloud Engineer

Cloud Solutions Architect

Consulting Principal AWS Cloud 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>Define and drive the data engineering strategy and roadmap.</li><li>Ensure code quality and best practices (e.g., modularity, reusability, scalability, and testability).</li><li>Review code and mentor engineers on data engineering best practices.</li><li>Optimize data workflows for performance, reliability, and cost.</li><li>Design and implement data lake/warehouse architectures.</li><li>Work closely with data scientists, analysts, product managers, and business stakeholders to define data needs.</li><li>Implement data quality checks and observability tools.</li></ul> Requirements: Experience: <ul><li>10+ years of experience in data engineering with a proven track record of delivering large-scale data solutions.</li><li>Strong expertise in Snowflake, Advanced SQL, GBI ETL framework, and Python.</li><li>Hands-on experience in designing and implementing data pipelines, data integration, and data warehousing solutions.</li><li>Fluency in English and Mandarin (both spoken and written), enabling effective communication with global stakeholders.</li><li>Prior experience in stakeholder management, including requirements gathering, design playback, and presentations.</li><li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Strong problem-solving skills and the ability to think critically about data architecture and process optimization.</li></ul> Educational Qualification: <ul><li>Bachelor’s degree in computer science, Information Technology, Software Engineering, or a related field.</li><li>Advanced degree in Computer Science, Data Engineering, or a related field.</li><li>Certifications in Snowflake or data engineering tools are a plus.</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>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Responsibilities: <ul><li>Own the Cloud based Secure Connectivity and network management platform architecture.</li><li>Use tools and methodologies to create representations for functions and user interface of desired product</li><li>Develop high-level product specifications with attention to system integration and feasibility</li><li>Define all aspects of development from appropriate technology and workflow to coding standards</li><li>Successfully communicate all concepts and guidelines to development team</li><li>Oversee progress of development team to ensure consistency with initial design</li><li>Provide technical guidance and coaching to developers and engineers</li><li>Ensure software meets all requirements of quality, security, modifiability, extensibility etc.</li><li>Approve final product before launch</li></ul> Requirements: <ul><li>8+ years of experience in VPN ,Network management software system design.</li><li>Proficient in Java,J2EE, Microservices, Spring and SpringBoot framework.</li><li>Experienced in network engineering with strong understanding on IP addressing, routing, firewall, ACLs, NATs &amp;PATs, VLANs, etc.</li><li>Knowledge on VPN solutions e.g.,SoftEther, Wireguard, IPSEC.</li><li>Must have experience on Cloud based multi-tenant networking solutions design.</li><li>Hands-on knowledge on Docker Networking and Containerization framework.</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>

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19 azure devops Jobs found

Senior Devops Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

QA Tester

SVP Domain Lead Core Banking

Senior Data Scientist II

Java Tech Lead/Architect

Consulting Azure Cloud Engineer

Cloud Solutions Architect

Consulting Principal AWS Cloud Engineer

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19 azure devops Jobs found

Senior Devops Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

QA Tester

SVP Domain Lead Core Banking

Senior Data Scientist II

Java Tech Lead/Architect

Consulting Azure Cloud Engineer

Cloud Solutions Architect

Consulting Principal AWS Cloud Engineer

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

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Contact Us

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