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Techstars

Backend Engineer

AI in this role

Design, build, and maintain robust data pipelines and Kubernetes-based infrastructure to support Techstars OS.

postgresqlkafkakuberneteshelmopentofugithub-actionsawsterraformprometheusgrafana
data-pipelinesetldevopsdatabase-managementpython
       

Backend Engineer

As a Backend Engineer at Techstars, you will be the connective tissue between our data infrastructure and the product teams building Techstars OS — the operating system that drives how we run accelerators, support founders, and make investment decisions. You will own our data pipelines, keep our cloud infrastructure stable and secure, and work across teams to ship reliable, observable systems. This role blends backend data engineering with platform/infrastructure work; the right person is equally comfortable building an ELT pipeline as they are debugging a Kubernetes deployment

What you will do

  • Design, build, and maintain data pipelines that ingest, transform, and serve data across Techstars systems — including Salesforce, PostgreSQL, Kafka, and internal APIs
  • Own and evolve our Kubernetes-based infrastructure (Helm, OpenTofu, Github Actions), including deployment tooling, secrets management, and cluster health
  • Partner with our senior security engineer on infrastructure reliability — incident response, observability, and proactive improvements to keep things stable
  • Maintain and improve our PostgreSQL database layer: schema design, migrations, query performance, and data integrity
  • Support Salesforce data flows and integrations with our broader platform
  • Build and maintain internal tooling and integrations that connect third-party SaaS tools to Techstars OS
  • Contribute to engineering standards: CI/CD practices, testing, code review, documentation
  • Work in an agile team environment with a product backlog, sprints, and regular delivery to production

What you bring

  • Solid experience building and maintaining data pipelines — ETL/ELT, data ingestion, transformation, and delivery to downstream consumers
  • Proficiency with PostgreSQL: schema design, migrations, query optimization, data modeling
  • Hands-on experience with Kubernetes in production (AWS EKS a plus), including familiarity with Helm, kubectl, and debugging workloads
  • Experience with infrastructure-as-code tooling (OpenTofu, Terraform)
  • Strong Python skills for data engineering, scripting, and automation
  • Strong understanding of agentic development in a team environment
  • Familiarity with AWS services (S3, RDS, Lambda, IAM, and related tooling)
  • A DevOps mindset: you care about observability (Prometheus/Grafana experience a plus), reliability, and what happens after code ships
  • Excellent debugging and troubleshooting skills — you can work from symptoms to root cause on unfamiliar systems
  • Experience working in agile development environments with a product team
  • Strong communication skills — you work well across teams and can explain technical tradeoffs clearly

Nice to have

  • Experience with Salesforce data structures and CRM-adjacent integrations
  • Knowledge of financial or investment data (venture capital, startup portfolio management)
  • Familiarity with data pipeline orchestration tools (Airflow or similar)
  • Experience with JavaScript/TypeScript for backend services
  • Prior work at a startup, accelerator, or investment firm

Applications will be accepted on an ongoing basis until the position is filled.

Compensation & Benefits
Salary Range: 115,000 - 130,000
Benefits: Techstars offers a comprehensive benefits package that includes medical, dental, and vision insurance, a 401(k) retirement plan, and paid time off.

About Techstars
Since 2006, Techstars has been investing in the world’s most ambitious founders. We find great founders early, through a global network two decades in the making, and back them with capital, mentorship, and the connections they need to grow. www.techstars.com

Techstars is an affirmative action, equal opportunity employer and does not discriminate on the basis of race, sex, age, national origin, religion, physical or mental handicaps or disabilities, marital status, Veteran status, sexual orientation, gender identity nor any other basis prohibited by law.
Techstars uses E-Verify to check the work authorization of all new hires. For more information about E-Verify, please see the following:
E-Verify Participation Poster (English and Spanish)
Right To Work Poster (English and Spanish)

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

How we rate this

Backend Engineer at Techstars rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data PipelinesETLDevOpsDatabase ManagementPythonPostgreSQLKafkaKubernetes

Also common in software engineer jobs at this level

Questions you could be asked

  1. Tell me about a project where data pipelines was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where devops was part of your work. What did you do?
  4. Tell me about a project where database management was part of your work. What did you do?
  5. Tell me about a project where python was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Pipelines, ETL, DevOps, Database Management, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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