Stripe Software Engineer, Data and AI Hiring 2026 | Bengaluru

Stripe Software Engineer, Data and AI hiring is active on the company's official careers system. Stripe is hiring a software engineer in Bengaluru to build data and AI systems used across financial products and internal workflows. This guide uses the live employer listing and links directly to it.

The position is based in Bengaluru, Karnataka, India. Full-time employment. Candidates should compare their recent work with the verified requirements before applying.

Stripe Software Engineer, Data and AI: Quick Facts

Company	Stripe
Position	Software Engineer, Data and AI
Location	Bengaluru, Karnataka, India
Employment	Full-time employment
Published or timing note	Official listing verified active on 11 June 2026
Application deadline	No closing date is stated; apply while the official listing remains active

Salary and Employment Context

The official listing does not publish an India salary range. Candidates should rely on the written offer for base pay, variable pay, equity, benefits, payroll entity, working hours, and notice terms.

The current role is described as full-time employment. The location information is Bengaluru, Karnataka, India. Ask the recruiter to confirm office attendance, shift allowances, equipment, leave, and probation before accepting.

Who Can Apply?

The official listing is the eligibility source. The points below summarise the closest applicant profile without adding an unlisted degree, certification, or guarantee.

• Candidates should have strong software engineering and data-system fundamentals.
• The role requires production experience with backend services, data pipelines, or ML infrastructure.
• Strong coding, system design, testing, and operational ownership are important.
• Applicants should understand privacy, correctness, and reliability in financial systems.
• Experience with applied AI or large-scale analytics is relevant.

What Does a Software Engineer, Data and AI Do?

The work is practical and outcome-focused. A strong application should show where the candidate performed similar tasks, improved reliability, or solved a measurable problem.

• Build dependable data and AI product capabilities.
• Design services, pipelines, evaluations, and operational controls.
• Partner with product, risk, data science, infrastructure, and security teams.
• Improve correctness, latency, reliability, privacy, and developer usability.
• Operate systems in production and learn from incidents and customer feedback.

Skills to Highlight in the Resume

Use evidence instead of a long keyword list. Mention the system, your decision, the tool used, and the result. Keep confidential customer or employer information out.

• Backend engineering, APIs, data modelling, pipelines, and distributed systems.
• Python, Java, Scala, Go, or another production language.
• Machine learning, LLM applications, evaluation, analytics, or feature platforms.
• Testing, observability, privacy, security, and financial-data correctness.
• Architecture writing and clear cross-functional collaboration.

Application Fit Checklist

Before applying, compare the role with your last two years of work. A smaller number of strong matches is more useful than a resume filled with unrelated tools.

• Place the most relevant role, project, or production result in the top third of the resume.
• Quantify scale, reliability, delivery speed, customer impact, or quality improvement where evidence exists.
• State your current location and genuine availability for the listed office, remote, shift, or time-zone pattern.
• Remove skills that you cannot explain through a project, incident, design choice, or working example.
• Check that dates, titles, links, and contact details are current before submitting.

How to Apply on the Official Site

Open the official Stripe job page, read the latest description, and check that the role still accepts applications. Tailor the resume to the verified work.

• Use an email address and mobile number that you check regularly.
• Upload a concise resume with relevant projects, impact, dates, and technologies.
• Answer screening questions accurately and do not inflate years of experience.
• Save the confirmation email or application reference for later follow-up.

Do not pay for an interview, referral, offer letter, or application link. Verify recruiter messages against the employer domain and the official job page.

Preparation Before the Interview

Start with the job description, then prepare short examples that match its main responsibilities. Use a clear situation, action, and result instead of memorised answers.

• Design a data and AI service where correctness matters more than demo speed.
• Review privacy, access control, evaluation, retries, and reconciliation.
• Prepare examples of owning a high-impact production system.

Check the role page again before the interview because status, location, and process can change. The employer decides shortlisting, assessment stages, compensation, and selection.

Frequently Asked Questions

Is the salary published?

The India listing does not publish a salary range. Confirm every compensation component in the written offer.

Where is the job based?

The official listing gives the location as Bengaluru, Karnataka, India.

Was the listing checked?

Yes. The official employer page was active on 11 June 2026.

Should applicants pay a fee?

No. Never pay for a private job application, interview, referral, or offer letter.

What is the official source?

The source is the official Stripe recruitment page at stripe.com. Use that page for the current status.