Tekion Senior Software Engineer ML Platform Bengaluru Hiring 2026
Tekion Senior Software Engineer ML Platform Bengaluru hiring is active on the company's official careers system. Tekion lists a senior software engineering role for machine learning platform engineering in Bengaluru. The role is suitable for engineers who can build reliable platform services around data, ML workflows, and product integration. This guide uses the live employer listing and links directly to it.
The position is based in Bengaluru, India. Full-time role on the official Greenhouse listing. Candidates should compare their recent work with the verified requirements before applying.
Tekion Senior Software Engineer ML Platform Bengaluru: Quick Facts
| Company | Tekion |
| Position | Senior Software Engineer – Machine Learning Platform Engineering |
| Location | Bengaluru, India |
| Employment | Full-time role on the official Greenhouse listing |
| Published or timing note | Official job page verified active on 8 June 2026 |
| Application deadline | Not stated on the official job page |
Salary and Employment Context
The official listing does not publish a 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 role on the official greenhouse listing. 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.
- Senior engineers with ML platform, backend platform, or data infrastructure experience should review the listing.
- Candidates should be able to design services that support model development, evaluation, or deployment workflows.
- Experience with cloud, APIs, data pipelines, observability, and production ownership can help.
- Applicants should confirm the exact team scope, working model, and hiring process on the official page.
What Does a Senior Software Engineer – Machine Learning Platform Engineering 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 platform software that supports machine learning workflows.
- Design service interfaces, data flows, and deployment paths for ML-related features.
- Improve reliability, monitoring, testability, and release safety for platform components.
- Work with data, ML, product, and backend teams to turn requirements into durable systems.
- Document architecture decisions and support production issues with clear evidence.
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 or platform engineering in Python, Java, Go, Scala, or similar stacks.
- ML platform concepts such as data pipelines, feature workflows, model serving, or evaluation.
- Cloud systems, APIs, databases, queues, observability, and deployment automation.
- System design with attention to latency, reliability, access control, and data correctness.
- Practical collaboration with ML engineers, data engineers, and product teams.
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 Tekion 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 a platform story involving data flow, service design, monitoring, and measurable impact.
- Review ML platform basics, model-serving reliability, data validation, and API design.
- Be ready to discuss how you make ML-related systems dependable for product teams.
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?
No public salary range is shown unless it is specifically stated in the salary section above. Confirm pay, bonus, equity, and benefits in writing.
Where is the job based?
The official listing gives the location as Bengaluru, India.
Is this role still open?
The official application page was active when checked on 8 June 2026. Recheck it before applying.
Should candidates pay an application fee?
No. Applicants should never pay for an interview, referral, offer letter, or private job application.
What is the official source?
The source is the official Tekion recruitment page at job-boards.greenhouse.io. Use that page for the current status.