• Help to envision, design, and implement new features utilizing the Appian low-code platform for the projects based upon the prioritized product backlog • Bring innovating, out-of-the-box thinking to solving challenging problems, brainstorming with peers and utilizing available resources including internal as well as external resources • Provide estimates of upcoming sprints' work based upon current understanding of the functionality • Work with functional and testing team to understand the business functionality, to ensure what is developed meets or exceeds the end-user needs • Unit test all developed features, including edge cases. Also be comfortable to conduct peer review of other developers code as needed • Attend and actively participate in all Agile-related meetings. Work within the Agile framework including participating in User Story grooming sessions, Sprint Planning meeting, and retrospectives • Delivery presentations as required to the client during Sprint demos as well coordinating meetings with intersecting teams as required. • Participate in knowledge sharing sessions within the company to socialize best practices and white papers as applicable

Role Description Our VC-backed, Unicorn-level US client is building the next generation of intelligent billing infrastructure for independent healthcare providers — a cloud-native, AI-native platform designed to eliminate the manual complexity of US medical billing and get providers paid faster. This is a greenfield build with real urgency, a talented team, and meaningful skin in the game for everyone involved. We're looking for a Staff Backend Software Engineer with deep Java expertise and genuine AI fluency to join their Revenue Cycle Management team. You'll be a core technical leader on a small, senior team building a new billing system from the ground up — one where AI isn't bolted on after the fact but baked into the architecture from day one. What you'll be doing: - Designing and building the backend services that power a new AI-native billing platform, hosted on GKE and built cloud-native from the ground up. - Integrating LLMs, ML models, and external AI services into billing workflows — with proper observability, fallback behaviour, and human review where appropriate. - Identifying and implementing practical AI opportunities across the SDLC: summarization, extraction, classification, recommendation, and workflow automation. - Partnering closely with a principal frontend engineer and cross-functional teams (product, design, data, operations) to turn complex billing pain points into scalable solutions. - Leading code reviews, establishing engineering best practices, and mentoring junior and mid-level engineers. - Contributing to technical direction and architecture decisions for a platform with a real end-of-year launch target. Qualifications - 8+ years of professional software engineering experience. - Strong, production-depth Java and Spring Boot — this is their core backend language and a hard requirement. - RESTful APIs and microservices architecture at scale. - Hands-on React and frontend fluency — you're comfortable owning frontend work, not just aware of it. - Cloud platform experience: GCP preferred, AWS or Azure also fine; you understand cloud-native architecture in practice. - Containers, Kubernetes, CI/CD pipelines (Jenkins, Harness, Docker) — not just awareness, actual production use. - Database depth across relational and NoSQL: MySQL, PostgreSQL, MongoDB, DynamoDB. - You use AI tools every day across your full workflow — research, debugging, code generation, deployment. This isn't a nice-to-have; it's how they work and how they expect this person to work. Requirements - Recent TypeScript or Node.js experience alongside your Java background — they're evolving their stack and that combination is genuinely valuable there. - Prior exposure to US healthcare billing, claims processing, or RCM — the domain has a steep learning curve and prior knowledge meaningfully accelerates impact. - Experience building production AI-enabled services — agentic workflows, LLM integration, evaluation frameworks, not just using Copilot. - Track record of greenfield platform delivery with real deadlines and real stakes. Benefits - Fully remote. - You'll report directly to the engineering leader (Sr Director) for this team. - This is a high-ownership, high-impact seat on a small team with a tight timeline — the right person will have the technical depth to lead from day one and the mindset to thrive in a build environment.

Role Description You'll be the software engineer embedded in Parachute Health's IT & Security team, building the internal platforms, automations, and AI-powered workflows that keep our healthcare technology environment secure, compliant, and operationally efficient. You'll write code that touches on identity, endpoint, network, cloud security, compliance, evidence collection, and incident response in an environment governed by HITRUST, SOC 1, and SOC 2. Responsibilities - Internal tooling & automation - Design, develop, and maintain internal applications and automations that eliminate manual IT/Security work, including provisioning, access reviews, compliance evidence collection, audit preparation, and ticket triage. - Develop and maintain integrations across the security and IT stack, including Okta, Zscaler, Splunk/Wazuh, Lacework, Drata, Datadog, AWS, GCP, GitHub, and n8n. - Package, deploy, and operate IT/Security tooling using Parachute's standard deployment patterns and observability stack. - AI & agentic workflows - Architect agentic AI workflows for IT and Security operations, including automated alert triage, log correlation, root-cause analysis, guided remediation, access-review automation, and audit evidence collection. - Build the context layer (MCP servers, retrieval pipelines, and embeddings) that grounds AI agents in Parachute-specific systems, policies, and runbooks. - Drive AI adoption across the IT/Security team through pairing, architecture reviews, and reusable skills/plugins/workflows. - Build an MCP-based agent that automates audit evidence collection from multiple sources. - Replace manual access-review workflows with an agentic pipeline. - Security - Develop, tune, and maintain SOAR/SIEM detections, dashboards, and correlation rules in Splunk/Wazuh. - Support threat hunting, incident investigation, pen test, and/or red teaming, and forensic analysis with custom tooling and queries (Redshift, BigQuery, log platforms). - Apply MITRE ATT&CK, NIST CSF, and HITRUST CSF to guide detection engineering and control implementation. - Contribute to SOC runbooks, SOPs, and automation playbooks (SOAR). - Security audits & reliability - Automate compliance evidence collection and control validation across SOC 2, HITRUST CSF, HITRUST AI, and HIPAA. - Participate in an on-call rotation for IT/Security incidents; contribute to post-incident reviews and continuous improvement. - Maintain stable, performant, and auditable internal application stacks. Qualifications - 2+ years of writing production code in a web-based environment. - Professional experience with: - Ruby on Rails, and/or Python, and/or JavaScript/TypeScript (React, Node.js). - Hands-on experience with AWS (IAM, EC2, ECS/EKS, S3, RDS, Lambda) and infrastructure-as-code. - Demonstrated experience integrating with REST/GraphQL APIs and building automations across SaaS platforms. - Working knowledge of at least one compliance framework - SOC 2, HITRUST, HIPAA, ISO 27001, or NIST. - Security-first mindset: you think about least privilege, secrets handling, PHI exposure, and audit trails by default. - Strong fundamentals in data structures, design patterns, and TDD. - Must reside in the U.S. Nice to have - Experience building agentic AI systems in production - agent architectures, tool integration via MCP, retrieval-augmented generation, evaluation frameworks. - Experience setting up AI development environments and driving AI adoption across a technical team. - Familiarity with our stack: Okta, ZScaler, Splunk/Wazuh, Lacework, Drata, Datadog, n8n workflows and/or Argo workflows. - SIEM detection engineering or SOC tooling experience (Splunk SPL, Wazuh rules, Sigma). - Healthcare technology background - exposure to HIPAA, PHI handling, or DME workflows. - Security or cloud certifications (CCA-F, CISSP, CCSP, AWS Security Specialty, OSCP). - Experience as a technical lead bridging IT, Security, Engineering, and Compliance stakeholders. - Proficient in SQL (Redshift, BigQuery) for forensic and operational analytics. Benefits - Medical, Dental, and Vision Coverage: Comprehensive plans with options for low-to-no-cost premiums. - Employer HSA Contribution: Company-funded contributions to your Health Savings Account. - 401(k) Retirement Plan. - Equity Incentive Plan. - Annual Company-Wide Bonus: Opportunity for up to 15% bonus based on company performance. - Remote-First Culture: We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces. - Flexible Vacation Policy. - Summer Fridays: 5 additional Fridays off during the summer (separate from PTO). - Home Office and Wellness Stipend. - Monthly Internet Stipend. - Annual Learning and Development Stipend. - Base Salary Band (based on experience and level): $90,000 - $120,000.

• Lead and manage a team of engineers: hiring, performance reviews, continuous feedback and day-to-day support • Define and drive quarterly, release and sprint planning to ensure timely, high-quality delivery • Own architectural decisions and technical direction; review and challenge designs with a focus on performance, scalability, reliability and testability • Ensure production stability: proactive monitoring, incident response, post-mortems and corrective measures • Define and maintain service contracts to ensure seamless communication between systems • Collaborate with Product, Design, Infrastructure and Customer Operations to align technical solutions with business needs • Contribute personally to back-end development, primarily in Kotlin • Participate in the on-call rotation to ensure 24/7 service availability.