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Why Verifone For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide. Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether its developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success. Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located. Whats Exciting About the Role Verifone is looking for a Data Platform Engineer to join our Platform Engineering team. Rather than being a single-technology specialist position, this is a unique opportunity to your generalist skillset to own and evolve a broad data platform that spans streaming pipelines, multiple database technologies, on prem and cloud infrastructure, and DevOps/SRE operational tooling. We are looking for experience in core technologies including Kafka, Redis, Data Lake technologies and Cloud Engineering, with the opportunity to leverage other skills such as PostgreSQL, MySQL, MongoDB, SQL Server and more. You will design and operate end-to-end data pipelines that power new AI and analytics initiatives, migrate streaming services to Kubernetes, and build the automation and tooling that reduces operational toil across the team. If you are energized by working across the full data stackpipelines, databases, infrastructure, observability, and CI/CDrather than going deep on a single technology, this role is built for you. Key Responsibilities Data Platform & Pipeline Development Design, build, and optimize end-to-end data pipelinesstreaming and batchthat serve Verifones AI, machine learning, and analytics initiatives. Work with diverse data technologies and formats: streaming via Kafka, batch via ETL processes, file formats such as Parquet, and table formats such as Iceberg or Delta Lake. Collaborate with data engineering and development teams to enforce best practices for data flow, schema design, security, scalability, and performance. Continuously improve data pipeline reliability, latency, and throughput across the full SDLC. Support and integrate AWS data tooling including Athena, Glue, Redshift, and S3-based data lake patterns. Streaming Infrastructure (Kafka & Ecosystem) Manage and support Apache Kafka clusters (including AWS MSK), Kafka Connect, and KSQL for high-throughput, fault-tolerant event streaming. Handle day-to-day Kafka operations: offset management, lag monitoring, consumer group management, cluster rebalancing, and partition tuning. Perform cluster maintenance: upgrades, configuration changes, scaling events, and health checks. Drive incident response and root cause analysis (RCA) for streaming platform issues. Participate in the active effort to migrate Kafka and related services to Kubernetes. Database Operations Operate and support multiple database technologies in production: Redis, PostgreSQL and MySQL (indexing, replication, HA/DR, query tuning), and MongoDB. Perform routine maintenance across database platforms: upgrades, configuration tuning, health monitoring, and capacity planning. Support Snowflake data warehouse operations and integrations as part of the broader analytics stack. Implement and uphold data security practices including encryption-in-transit/at-rest, secrets management, and least-privilege access across all data stores. DevOps, SRE & Automation Develop and maintain automation scripts (Python, Bash) to reduce manual toil and improve platform reliability. Design, implement, and manage CI/CD pipelines for patching, deployment, and configuration automation. Build and maintain Infrastructure as Code (IaC) using Terraform, Ansible, or similar tools. Containerize and orchestrate workloads using Docker and Kubernetes. Manage cloud infrastructure on AWS: EC2, VPC, IAM, MSK, ElastiCache, CloudWatch, and related services. Set up and maintain observability toolingmetrics, logs, and tracingand participate in on-call incident response. Support cloud migration tasks, moving workloads between on-prem and cloud environments. Required .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.