> Markdown version of [/jobs/ext/2865865-back-end-engineer](https://www.wearedevelopers.com/jobs/ext/2865865-back-end-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Back-end Engineer - **Company:** Techstars LLC - **Location:** Boulder, CO, United States (Remote available) - **Experience:** Starter - **Salary:** $115,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Software as a Service, Cloud Computing, Code Review, Continuous Integration, Customer Data Management, Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Database Schema, Software Debugging, DevOps, Github, Identity and Access Management, Python (Programming Language), Key Management, PostgreSQL, Query Optimization, Prometheus, Salesforce.Com, SQL Databases, TypeScript, Scripting, Data Ingestion, Grafana, Spring-boot, Backend, Kubernetes, Information Technology, Apache Kafka, Terraform, Data Pipelines, AWS EKS - **Published:** September 12, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/backend-engineer/11135920 ## About the Role * 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, E-Verify Participation Poster (English and Spanish) ## Description Build and maintain data pipelines, PostgreSQL systems, Kubernetes infrastructure, deployment tooling, and SaaS integrations. The role includes infrastructure reliability, observability, incident response, security collaboration, Salesforce data flows, CI/CD, testing, debugging, and agile delivery. The engineer will connect data infrastructure with Techstars OS product teams and improve reliable, secure systems across the organization. The summary above was generated by AI 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, Develop and optimize scalable Java and Spring Boot backend services. Build clean, testable code; implement relational and NoSQL database solutions; apply software architecture patterns; improve performance, security, CI/CD, and deployments; and collaborate with DevOps teams and stakeholders. The role may also involve messaging systems, cloud infrastructure, APIs, Docker, and Kubernetes. Top Skills: ActivemqAWSDockerDomain-Driven DesignEc2Event-Driven DesignGithub ActionsGitlab PipelinesGraphQLGrpcIso 27001:2022JavaJenkinsJunitKafkaKubernetesLayered ArchitectureMicroservicesMockitoMongoDBMySQLNoSQLRest ApisS3Spring BootSQLTddTestcontainers Franki, Build and scale cloud-native backend services using C#, .NET, and Azure. Design secure, reliable APIs; contribute to architecture and technical direction; optimize performance; implement automated testing and CI/CD; troubleshoot complex issues; establish engineering standards; collaborate cross-functionally; evaluate technologies; and mentor engineers in a remote startup environment. 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