Databricks Sr. Staff/ Staff Backline Technical Solution engineer Hiring 2026 | Bengaluru

Databricks Sr. Staff/ Staff Backline Technical Solution engineer hiring is active on the company's official careers system. Databricks is hiring for Sr. Staff/ Staff Backline Technical Solution engineer in Bengaluru, India. The official listing focuses on debugging complex distributed system issues, profiling JVM memory heap, analyzing Apache Spark catalyst optimizer plans, and resolving customer escalations. This guide uses the live employer listing and links directly to it.

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

Databricks Sr. Staff/ Staff Backline Technical Solution engineer: Quick Facts

Company	Databricks
Position	Sr. Staff/ Staff Backline Technical Solution engineer
Location	Bengaluru, India
Employment	Full-time employment
Published or timing note	Official listing verified active on 16 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, 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.

• Degree in Computer Science, engineering, or equivalent technical experience.
• Deep expertise in JVM internals, memory management, thread dumps, and heap profiling.
• Strong working knowledge of Apache Spark, distributed processing, or cloud data storage architectures.
• Experience resolving tier-3 or backline escalations for large-scale enterprise systems.
• Proficient in coding with Java, Scala, Python, or SQL.

What Does a Sr. Staff/ Staff Backline Technical Solution engineer 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.

• Diagnose, debug, and resolve the most complex technical escalations from global enterprise customers.
• Analyze JVM memory heap dumps, thread allocations, and system log files to isolate root causes.
• Profile Apache Spark job executions and optimize data processing queries.
• Collaborate directly with core engineering teams to patch software bugs and improve system diagnostics.

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.

• JVM internals, profiling tools (JProfiler, VisualVM), and memory stack debugging.
• Apache Spark query optimization, storage formats (Parquet, Delta), and cluster execution.
• Java, Scala, or Python programming, along with relational databases and SQL query tuning.
• Technical leadership, customer empathy, and critical incident response management.

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 Databricks 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.

• Prepare to discuss a scenario where you debugged an OutOfMemoryError in a distributed Java application.
• Review Apache Spark partition strategies, shuffle performance tuning, and JVM memory pools.

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, India.

Was the listing checked?

Yes. The official employer page was active on 16 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 Databricks recruitment page at databricks.com. Use that page for the current status.