Software Engineer, Data Platform at Vercel

Confirmed open

Vercel is hiring a software engineer, data platform focused on data platform engineering.

Vercel

Location: Remote
Work arrangement: remote
Technologies: AWS, Azure, GCP

Create a free application profile — Keep your skills and projects in a reusable profile. Private by default; you choose when to share. Apply for this job directly with the employer.

Role overview

The Software Engineer - Data Platform opening at Vercel is centered on Design, build and operate systems for data platform engineering. The employer also lists Collaborate with product, design, security and engineering teams. and Improve reliability, performance, testing, automation and documentation. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: Vercel is hiring a software engineer, data platform focused on data platform engineering. The named technologies include AWS, Azure, GCP.

The posting identifies Relevant professional experience in design, cloud security, IAM, site reliability, data platform or backend engineering. and Strong problem-solving, communication and systems-design skills. as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Remote - United States / New York, New York, United States / San Francisco, California, United States. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with Vercel before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.

Responsibilities

Design, build and operate systems for data platform engineering.
Collaborate with product, design, security and engineering teams.
Improve reliability, performance, testing, automation and documentation.
Translate developer and business needs into maintainable production software.

Qualifications

Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.
Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information.
Outstanding communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across varying organizational levels.
A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices across the organization.
A Master's degree in Computer Science, Engineering, or a related field is preferred.
Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus.
Competitive compensation package, including equity.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

Technology in this role

AWS: The named technologies include AWS, Azure, .
Azure: The named technologies include AWS, Azure, .
GCP: The named technologies include AWS, Azure, .
Kafka: Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, .
Snowflake: Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, .
CAN: Your recruiter can share more details during the hiring .

Benefits

Remote arrangement and location as stated in the official posting.
Opportunity to work on cloud and developer platform products.

About Vercel

Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.

Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

8+ years of experience in data engineering, data architecture, or related roles, with at least 5 years at the Principal Engineer level.

Proven track record designing and operating large-scale data infrastructures at high scale in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks.

Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.

Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information.

Outstanding communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across varying organizational levels.

A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices across the organization.

A Master's degree in Computer Science, Engineering, or a related field is preferred.

Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus.

Competitive compensation package, including equity.

Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-10-13

Browse job categories

AWS Software engineer jobs in Vietnam