or apply directly on StarTree's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 5 days StarTree's roles stay open a median of 22 days
- Reposted
- No
- Salary listed
- No 0% of StarTree's roles list one
- Ghost-job risk at StarTree
- moderate 1 stale, 0 reposted of 6 open
- Hiring momentum
- 6 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from StarTree's own greenhouse board since 2026-08-03. Full hiring picture for StarTree.
About this role
As a Technical Support Engineer at StarTree, you will act as a crucial link between customers and internal teams, providing technical expertise and ensuring customer satisfaction. Your responsibilities will include troubleshooting performance issues, delivering support via tickets and Slack, contributing to the knowledge base, and mentoring team members. You will also engage with advanced data technologies and participate in an on-call rotation for urgent production issues.
- benefits
- 1/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of StarTree as an employer.
What you need
- 4-6 years of experience in Pre/Post-Sales or Customer-facing roles
- Hands-on experience with open-source data technologies
- Strong understanding of and hands-on experience with OLAP, Analytics, Kubernetes and SQL
- Proven troubleshooting skills across systems, applications, network, JVM, and Linux-based applications
- Strong knowledge of cloud infrastructure patterns and services within at least one of the major public clouds: Amazon AWS, Google Cloud, or Microsoft Azure
Nice to have
- Familiarity with modern OLAP systems such as Apache Pinot, Druid, or Clickhouse
- Experience with big data technologies like Spark, Hadoop, and Presto/Trino
- Experience and/or strong understanding of streaming technologies such as Apache Kafka
- Certification in Solutions Architecture for one or more of the major public clouds (AWS, Google Cloud, or Azure)
- Degree in Computer Science with a focus on Data Science, Data Engineering, or Data Analytics
Worth weighing
- The role requires working US business hours from 5:00 PM to 2:00 AM IST, which may not suit all candidates.
- Participation in an on-call rotation for urgent production issues may add to the workload outside regular hours.
Summarised from StarTree's posting. Read the full original.
Listed by StarTree on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.