Urwah Admin

Visa

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
We are seeking a highly skilled and motivated Corporate Communications Senior Manager to join our dynamic and geographically dispersed team. This person will be responsible for developing and executing Visa&rsquo;s external communications strategy, to advance the company&rsquo;s business interests primarily in Pakistan and key North Africa, Levant and Pakistan markets. The candidate will also support internal and client communications strategies, events and campaigns as part of the larger NALP communications team.
This position is based in Karachi, Pakistan, and will report to the Senior Director of Corporate Communications for Visa for the North Africa, Levant and Pakistan region, based in Dubai, UAE.
An ideal candidate is an experienced communications generalist, who excels at working collaboratively but who requires minimal supervision in delivering high-quality work. The ideal candidate is curious, creative and has a strong storytelling mindset and business acumen. They are a good writer, and content creator, digitally savvy program manager, is energetic and will be a key strategic business partner to the country manager and other functional leads.
Principle Responsibilities and Key Results Area<ul><li>
Proactively execute efficient and timely communications strategies against defined goals and metrics that align to and support the regional business development priorities.</li><li>
Create a steady stream of content including but not limited to key messages, frequently asked questions, videos, presentations, digital content, blog posts, articles etc. across multiple channels as part of an ongoing communications calendar.</li><li>
Raise awareness of the company and improve its corporate reputation among critical audiences as measured by media coverage, message pull-through and, where possible, perception audits.</li><li>
Direct and manage communications agencies to enhance external perceptions of Visa and meet business objectives.</li><li>
Work with business units to develop and manage specific project-based campaigns and communications plans, ensure appropriate implementation through communications agency, monitors and manages against targets.</li><li>
Manage corporate profiling for key spokespeople and develop and execute proactive reputation building and maintenance plans</li><li>
Foster and maintain relationships with key media representatives, pitching stories in an appropriate and effective way with a particular focus on Tier1 outlets in markets of responsibility.</li><li>
Support crisis and issues management.</li><li>
Oversee media monitoring and create reports as relevant</li><li>
Manage budgets for the indicated markets, communications agencies, and campaigns.</li><li>
Liaise with major partners to develop shared strategy and messages for significant launches.</li><li>
Create speeches, experiences, videos, presentations, social media content, visuals, and other communications.</li></ul>
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:<ul><li>
8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD</li></ul>
Preferred Qualifications:<ul><li>
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD</li><li>
8+ years of experience in communications, corporate communications, PR, or media communications.</li><li>
Fluent in English and Urdu spoken and written</li><li>
Exceptional storytelling, writing, editing, proofreading, layout and design, professional printing and publishing skills</li><li>
Deep understanding of the Pakistan media and digital landscape and operating environment</li><li>
High proficiency in PowerPoint, Word, and Excel and demonstrated capability to leverage AI and digital tools to enhance communications effectiveness including creating visual/graphic content, simplifying data into insights, and scaling content production across channels</li><li>
Highly collaborative with strong project management skills. Event management skills and experience is an asset</li><li>
Strong business acumen and ability to guide and influence senior stakeholders</li><li>
Preferred candidates would have a strong understanding of the business and payments ecosystem, technology, innovation and fintech space or a proven track record in a global MNC environment</li></ul>
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Senior Manager, Corporate Communications

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
Visa is accelerating the delivery of data analytics and AI powered products to support client growth and strategic decision-making across regions. We are seeking a Data Engineer to execute on the design, delivery and evolution of scalable data engineering capabilities that underpin Data Science, AI and client facing products for all European markets.
The role requires understanding and translating business needs into data models, creating robust data pipelines, and developing and maintaining databases. The candidate should be able to define and manage data load procedures, implement data strategies, and ensure robust operational data management systems. Collaborating with stakeholders across the organization to understand their data needs and deliver solutions is also a key part of this role. The ideal candidate will be proficient in big data tools like Hadoop, Hive, and Spark, programming languages such as Python and SQL and have strong analytical skills related to working with structured and unstructured datasets.
Primary Responsibilities:<ul><li>
Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions</li><li>
Build, manage and deploy large scale ETL processes to generate data assets for the region</li><li>
Build modular and reusable code considering the configurability and scalability while adhering to low-level design</li><li>
Perform thorough unit testing of development tasks and document the test results using standard defined templates</li><li>
Build, schedule, and manage DAGs in Apache Airflow efficiently</li><li>
Monitor data processing tasks using Airflow</li><li>
Ensure quality control of data assets, through monitoring and reconciling data loaded across different stages in the data pipeline</li><li>
Utilize strong data analytics skills to identify, discuss, and promptly fix data issues</li><li>
Apply debugging skills to quickly rectify execution errors, ensuring minimal delays and impact on business operations</li><li>
Collaborate and communicate with stakeholders for requirement understanding and clarifications</li><li>
Maintain the highest level of quality and detail-oriented approach in daily tasks</li></ul>
This is a hybrid position. This requires 3 days per week attendance in the London office
Qualifications
Basic Qualifications:<ul><li>
2-4 years development experience in building data pipelines and writing ETL code using Hive, PySpark, SQL and Unix</li><li>
Experience in writing and optimizing SQL queries in a big data environment</li><li>
Experience working in Linux/Unix environment and exposure to command line utilities</li><li>
Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems</li><li>
Exposure to code version control systems (e.g. git, GitHub)</li><li>
Experience working with cloud services (e.g. AWS, GCP, Azure)</li><li>
Familiarity with common agentic coding tools</li><li>
Hands-on experience building GenAI-based applications or workloads</li><li>
Ability to understand a diverse set of business domains and requirements</li><li>
Good understanding of agile working practices and related program management skills</li><li>
Experience with workflow orchestration tools (e.g., Apache Airflow) and designing reliable data workflows</li><li>
Experience applying data quality frameworks and practices (e.g., automated checks, reconciliation and data observability)</li><li>
Strong communication and presentation skills with ability to interact with different cross-functional team members at varying levels</li></ul>
Preferred Qualifications:<ul><li>
Advanced degree in technical field (e.g. Computer Science, statistics, etc.)</li><li>
Experience with visualization tools like Tableau and Power BI</li><li>
Exposure to Financial Services or the Payments Industry</li><li>
Hands-on experience with CI/CD and automation pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps) including testing and release practices</li></ul>
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Data Engineer

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
The Risk and Identity Solutions (RaIS) team provides risk management services for banks, merchants, and other payment networks. The Predictive Fraud Intelligence (PFI) team develops core AI/ML products within the Visa Protect suite, empowering clients to detect and prevent fraud throughout the payment lifecycle. The MLOps and Data Engineering team designs and operates the platforms, pipelines, and tooling that enable the core product teams to build, deploy, and iterate on models quickly. This group provides the scalable data foundations, model‑orchestration frameworks, and automated workflows required to keep fraud‑detection models continuously updated against emerging fraud schemes and new attack vectors.
We&rsquo;re looking for candidates who are passionate about building high‑performance data systems and who thrive on the challenge of working with petabyte‑scale datasets. If you have experience designing efficient, resilient pipelines optimizing distributed data processing and enabling real‑time insights from massive, complex data flows, we want to meet you. This role is an opportunity to apply deep data‑engineering and MLOps expertise to a mission‑critical domain&mdash;empowering fraud‑detection models that protect the entire payment lifecycle.
This is a great opportunity to be part of a Data Engineering and MLOps team that is set out to scale and structure large scale data engineering and ML/AI that drives significant revenue for Visa. As a member of the Predictive Fraud Intelligence &ndash; MLOps team based out of Bangalore, your role will involve<ul><li>
Building and maintaining reliable data pipelines that deliver high‑quality data across the product lifecycle &ndash; Product development to client support.</li><li>
Developing platforms that support rapid model experimentation, training, evaluation, versioning, and deployment.</li><li>
Creating automated monitoring systems for data drift, model performance, and operational health to ensure models stay accurate as fraud patterns evolve.</li><li>
Partnering closely with AI/ML researchers and product teams to reduce time from model concept to production.</li><li>
Ensuring compliance, security, and traceability across the full ML lifecycle to meet financial‑industry standards.</li><li>
Providing self‑service tooling and infrastructure that enables data scientists to iterate quickly while maintaining operational excellence.</li></ul>
You must be a hands-on expert able to navigate both data engineering and data science disciplines to build effective engineering solutions that support ML/AI models.
The position is based at Visa's offices in Bangalore, India.
What success looks like<ul><li>
You consistently design and deliver systems that scale to petabytes of data with high reliability, low latency, and efficient resource utilization.</li><li>
You provide the architectural direction for the platforms, influencing long‑term technical strategy and raising the engineering bar across the organization.</li><li>
You proactively identify gaps in data quality, platform capabilities, and system resilience, and lead cross‑team efforts to close them.</li><li>
You mentor engineers across multiple teams, shaping best practices in distributed systems, pipeline design, and machine‑learning operations.</li></ul>
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications: 5+ years of relevant work experience with a Bachelor&rsquo;s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 5+ years of relevant work experience with a Bachelor&rsquo;s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. 8+ yrs. work experience with a bachelor&rsquo;s degree or 6+ years of work experience with a Master's or Advanced Degree in an analytical field such as computer science, statistics, finance, economics, or relevant area. With relevant experience in handling big data on-premises as well as on cloud. Deep understanding of Hadoop ecosystem and associated technologies and good knowledge of cloud analytical solutions available. Strong expertise in designing and operating large‑scale data pipelines (batch and streaming) that process terabytes to petabytes of data. Deep proficiency with distributed data‑processing frameworks such as Spark, Flink, Beam, or similar. Solid command of data storage technologies (Delta Lake, Iceberg, Hive, BigQuery, Redshift, or equivalent). Working experience with cloud‑based data‑processing systems (AWS EMR, Dataproc, Glue, Dataflow, Snowflake, BigQuery, Redshift, Databricks or equivalent). Strong programming skills in Python, Scala, or Java, with a focus on building reliabe production systems. Hands‑on experience with orchestration and workflow tools (Airflow, Dagster, equivalent). Proficiency in containerization and orchestration (Docker, Kubernetes). Experience implementing CI/CD pipelines for data and ML workloads. Understanding of data‑quality frameworks, lineage, observability, and monitoring (Great Expectations, Deequ, Monte Carlo, Databand, or similar). Practical knowledge of cloud platforms (AWS, GCP, or Azure) and cloud‑native data systems. Demonstrated ability to leverage AI and automation tools in day‑to‑day engineering workflows to increase efficiency and reduce operational overhead. Experience working in fraud detection, risk scoring, payments, or other high‑integrity, compliance‑heavy domains. Familiarity with feature‑store design and operations (Feast, Tecton, or custom implementations). Exposure to real‑time inference architectures and streaming‑based model deployment. Experience with modern MLOps platforms and tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or equivalent). Experience optimizing cost efficiency at scale (storage formats, compute tuning, autoscaling, caching strategies). Ability to influence architecture across multiple teams and drive long‑term platform strategy. Strong communication skills for partnering with data scientists, product leaders, and engineering leadership. Experience mentoring senior engineers and shaping engineering culture. Understanding of and interest in Generative AI, large language models, and how they apply to data engineering, MLOps, and developer productivity. Strong experience in end-to-end analytics on any public cloud (preferably AWS)
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Staff Data Engineer

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
The SW Engineer is responsible for conducting, planning, or overseeing one or more aspects of the analysis, design, programming, debugging, and modification of computer programs for commercial or end user applications. This role involves writing code, completing programming tasks, and performing testing and debugging of applications. The SW Engineer also completes documentation and procedures for installation and maintenance, and may interface with users to define system requirements and/or necessary modifications or develop cost estimates, budgets, and schedules. 
 
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. 
 
Key Responsibilities:<ul><li>
Conduct analysis, design, programming, debugging, and modification of computer programs for commercial or end user applications.</li><li>
Write code, complete programming tasks, and perform testing and debugging of applications.</li><li>
Complete documentation and procedures for installation and maintenance.</li><li>
Interface with users to define system requirements and/or necessary modifications.</li><li>
Develop cost estimates, budgets, and schedules as needed.</li></ul>
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:<ul><li>
Bachelor&rsquo;s degree, OR 3+ years of relevant work experience.</li></ul>
Preferred Qualifications:<ul><li>
0-2 years of experience</li><li>
Preferred tech stack: Java, Springboot, Angular/React, MongoDB, SQL</li><li>
Experience in analysis, design, and programming of computer applications.</li><li>
Experience in debugging and modifying software programs.</li><li>
Experience in writing and maintaining technical documentation.</li><li>
Experience in performing software testing and troubleshooting.</li><li>
Experience in collaborating with users or stakeholders to gather requirements.</li><li>
Experience in developing or supporting installation and maintenance procedures.</li><li>
Experience in developing cost estimates, budgets, or schedules for software projects.</li><li>
Experience in supporting commercial or end user applications.</li><li>
Experience in working with cross-functional teams.</li></ul>
U.S. Applicants Only
The estimated salary range for this position is $88,000.00 to $ 136,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.</div>

Software Engineer - GenAI, Finance Tech

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
Visa&rsquo;s Post Purchase organization is building AI-driven decision intelligence across dispute resolution and recovery products, including RDR, CDRN, VDRN, and Recover. We are seeking a Senior Data Scientist to contribute to high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale.
This is a Senior-level individual contributor role for someone who thrives in ambiguity, owns complex problem spaces, and drives solutions from concept through production with measurable business impact. You will work with large-scale transactions and dispute data to develop models that enhance decision quality and enable scalable, intelligent systems. 
Key Responsibilities<ul><li>
Support machine learning and analytics initiatives across dispute decisioning, merchant matching, and recovery analysis</li><li>
Assist in the development of ML lifecycle components, including data preparation, feature engineering, model training, and evaluation</li><li>
Analyze large-scale transaction and dispute datasets to identify trends, patterns, and opportunities</li><li>
Collaborate with Product, Engineering, and Data Engineering teams to translate business requirements into analytical solutions</li><li>
Contribute to model performance tracking, validation, and reporting</li><li>
Support experimentation efforts by helping design, execute, and analyze tests</li><li>
Assist in documenting models, methodologies, and results to support transparency and adoption</li><li>
Stay current on emerging tools and techniques, including AI/ML and GenAI, and apply them where appropriate</li></ul>
What Sets This Role Apart<ul><li>
Opportunity to work on high-impact datasets within Visa&rsquo;s Post Purchase ecosystem</li><li>
Exposure to AI/ML applications in real-world payment and dispute systems</li><li>
Collaboration with experienced Data Scientists, Engineers, and Product teams</li><li>
Ability to contribute to scalable solutions that improve automation and decision-making</li></ul>
This is a hybrid position. The number of in-office days will be confirmed by the hiring manager.
Qualifications
Basic Qualifications<ul><li>
2+ years of relevant work experience with a Bachelor&rsquo;s degree, OR</li><li>
5+ years of relevant work experience</li><li>
Master&rsquo;s graduates must have 2+ years of relevant work experience to qualify</li><li>
Exposure to data science, analytics, or machine learning concepts</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related quantitative field</li><li>
Experience applying data analysis or entry-level ML techniques to business problems</li><li>
Proficiency in Python or R, and SQL for data analysis</li><li>
Familiarity with data processing tools or frameworks (e.g., Spark, Hive)</li><li>
Understanding of basic machine learning concepts and evaluation methods</li><li>
Exposure to experimentation or A/B testing methodologies is a plus</li><li>
Ability to work collaboratively in cross-functional environments</li><li>
Strong problem-solving and communication skills</li></ul>
U.S. Applicants Only
The estimated salary range for this position is $123,700.00 to $ 191,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.</div>

Sr. Data Scientist

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description<div>
You will be joining the FX Client Pricing and Risk team at VXBS (Visa-Cross-Border-Solutions) / CurrencyCloud, where we are creating software to assist our FX Risk processes and give our customers frictionless experience to exchange currencies in a complex environment of constantly moving markets.</div><div>
Senior Software Engineer reporting to the FX Engineering Manager.</div><div> 
You will be working alongside versatile and experienced engineers improving our FX capabilities. This includes the following contributions:</div><div><ul><li>
 Contribute to the next generation FX Client Risk platform we are building. It is a great opportunity to work on scaling software towards using event-driven architecture.</li><li>
Design, build and maintain core FX Risk capabilities. Our customers value us for being able to abstract away the intricacies of foreign exchange market under a simple API solution.</li><li>
 Provide technical guidance and mentorship to team members.</li><li>
 Influence wider company architecture. The FX Client Risk team is a new team but based on the FX transactions handled by many other teams.</li><li>
 Work alongside smart QA engineers, who build and maintain a vast collection of automated testing scenarios.</li></ul></div><div>
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.</div>
Qualifications
Basic Qualifications:<ul><li>
5+ years of experience in software development.</li><li>
2+ years of experience building microservices with Java.</li><li>
Proficient in other programming languages, ideally being comfortable reading Ruby or Scala.</li><li>
Working knowledge of relational databases such as MySQL.</li><li>
Experience designing event based and streaming solutions using Kafka will be valued.</li><li>
Experience building applications that run in Kubernetes would be handy.</li></ul>
Preferred Qualifications:<ul><li>
5+ years experience in Java Backend Development</li><li>
Hands-on experience delivering high-quality production code with Claude Code.</li><li>
Experience managing working with contractors and outsource teams is important.</li><li>
Experience building in software for financial domain, especially in risk is beneficial.</li><li>
Experience working with agile process and principles.</li><li>
Experience in multiple programming languages, these teams primarily use Java, so experience with microservices in Java is important.</li><li>
Proficient in different programming languages, ideally being comfortable reading Ruby or Scala.</li><li>
Experience designing event based and streaming solutions using Kafka will be valued.</li><li>
Strong SQL knowledge, ability to understand and write complex queries.</li><li>
Working knowledge of relational databases such as MySQL.</li><li>
Experience building applications that run in Kubernetes would be handy.</li><li>
Working in a DevOps environment, or passion and willingness to work in this way.</li><li>
Proven delivery of well-tested, scalable, fault-tolerant and performant solutions.</li><li>
A pragmatic approach to solutions and delivery of technical projects.</li><li>
Have been a driving force not only behind change in your previous roles but also in working in a distributed environment.</li><li>
Having worked in a collaborative environment where you are comfortable reviewing code of your peers.</li></ul>
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Senior Software Engineer FX

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
Site Reliability Engineering (SRE) is essential to Visa&rsquo;s Cloud platform strategy. In this role, you&rsquo;ll ensure our development platform and tools let engineers focus on innovation instead of infrastructure. You&rsquo;ll promote observability best practices and automate resolution of recurring issues, working closely with software engineering teams to support security, availability, and performance. Responsibilities include triaging issues, collaborating on infrastructure management, and setting up monitoring for full coverage. Hands-on expertise is required, especially with major DevTools like GitHub, Jenkins, Jira, and Artifactory.
We seek a Software Engineer + SRE hybrid engineer. The ideal candidate deeply understands at least one major DevTool, quickly resolves tool-related issues in collaboration with developers, and applies systems thinking to maintain reliable applications and infrastructure while improving developer productivity.
Key Responsibilities:<ul><li>
DevTools Support You will be the primary point of contact for developers using tools like GitHub, Jenkins, Jira, or Artifactory.</li><li>
Troubleshoot and resolve tool-related issues promptly to minimize developer downtime.</li><li>
Maintain and optimize CI-CD pipelines and integrations for reliability and scalability.</li><li>
Collaborate with development teams to improve workflows and automation.</li><li>
Site Reliability Engineering Design, implement, and maintain systems for high availability, scalability, and performance.</li><li>
Monitor and improve application reliability through proactive measures and incident response.</li><li>
Develop and maintain observability solutions (metrics, logging, tracing).</li><li>
Participate in on-call rotations and drive root cause analysis for incidents.</li><li>
Collaboration &amp; Continuous Improvement Partner with engineering teams to identify reliability risks and implement best practices.</li><li>
Document processes, troubleshooting guides, and reliability of playbooks.</li><li>
 Advocate for automation and self-service solutions to reduce operational overhead.</li></ul>
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Qualifications:<ul><li>
Bachelor's degree, OR 3+ years of relevant work experience</li><li>
Bachelor's degree in IT, CS or related field and-or 3+ Years Working Experience IT Operations and Delivery.</li><li>
Experience: 0,5- 3 years in SRE and-or DevTools support roles.</li><li>
Beginner level programming and-or scripting in 2 or more of the following: Python, Java, Go, PowerShell, JavaScript, Terraform, Ansible, Helm, Chef, Cloud Formation.</li><li>
Basic understanding of YAML, JSON, HTML, XML.</li><li>
Hands on experience in Linux and -or Windows systems and good understanding of distributed computing environments.</li><li>
Experience with CI-CD tooling such as Jenkins, Github, Bitbucket, ArgoCD, Artifactory, Azure DevOps in a large-scale environment</li><li>
Experience with observability tooling such as Grafana, Prometheus, Splunk, Datadog, New Relic, DynaTrace, Sentry, etc. in a large-scale environment</li><li>
Experience supporting relational and non-relational databases (MySQL, MongoDB, PostgreSQL, etc.), including creating and running queries, managing performance and scaling</li><li>
Working in a Platform, SRE or Production Engineering group for high availability-critical platforms-applications</li><li>
Experience managing a distributed container platform including but not limited to deployment-release management, provisioning, capacity management, workload management</li><li>
Experience managing container infrastructure and supporting development transformation to a container first model.</li><li>
This role requires oncall support as the team provides 24-7 operational support.</li><li>
Technical Expertise: Proficiency in at least one DevTool (GitHub, Jenkins, ArgoCD, Jira, Artifactory, ).</li><li>
Strong understanding of CI-CD principles and pipelines.</li><li>
Solid knowledge of Linux systems, networking, and containerization (Docker-Kubernetes).</li><li>
Hands-on experience with cloud platforms.</li><li>
Programming-Scripting: Proficiency in Python, Ansible, or similar languages.</li><li>
Mindset: Strong problem-solving skills, systems thinking, self-starter, and a passion for reliability.</li></ul>
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Software Engineer/ SRE (Linux)

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