Software Engineer (PDLC Tooling + Automation)

New

BloomerangNonprofit software

Location: Remote, US; fully remote position (within the U.S. and select Canadian Provinces only).Full-Time

SalaryThe salary range for this position is $100,700 - $167,800. You may also be eligible for a discretionary bonus.

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Job Details

Required Skills: PythonSQLGitJavascriptSalesforceTypeScriptRESTful APIsSlackBigQueryDatabricks

Experience building and maintaining web applications, APIs, and integrations in a modern language such as Python or TypeScript/JavaScript.
Comfort working with REST APIs, webhooks, and authentication for third-party tools.
Solid software engineering fundamentals, including testing, debugging, and Git-based workflows with code review.
Hands-on experience with AI coding tools and LLMs, such as Claude Code.
Ability to build and use agent harnesses and automated workflows to build and iterate quickly.
Experience with content models, metadata, or knowledge graphs, and with provenance and versioning of content in Git.
Ability to communicate clearly with non-technical partners and explain tradeoffs in plain language.
Ability to collaborate with a manager who owns the vision while contributing ideas and raising concerns.
Ability to responsibly explore and integrate AI tools into daily tasks.
Nice to have: experience with LLM-assisted classification and evaluation of AI answer quality.
Nice to have: familiarity with Atlassian, GitHub, Notion, Slack, Salesforce, Gainsight, Intercom, or Pendo APIs.
Nice to have: previous experience with MCP servers, Replit, SQL, or data warehouses such as BigQuery and Databricks.

Build capture and classification workflows for content from Jira, GitHub, Notion, Figma, Pendo, BigQuery, and Databricks.
Design and maintain a product knowledge repository with typed, sourced, and versioned content.
Build role-scoped delivery through the internal AI harness for Marketing, Sales, Enablement, and Customer teams.
Automate PDLC work such as go-live checklists, release notifications, and status roll-ups.
Prototype tools, test them with users, and iterate or discard approaches based on feedback.
Extend internal apps and dashboards, including portfolio and capacity planning and delivery health metrics.
Build AI-assisted workflows, Claude skills, and Slack bots that answer questions about work in flight.
Work with Product, Engineering, Program Management, Product Analytics, and go-to-market teams to turn needs into tools.
Build securely while respecting access controls, data handling standards, and SOC 2 traceability requirements.
Document tools so others can use, support, and maintain them.

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