Senior Sustaining and Forward Deployed Engineer
Abacusinsights · Remote US · Posted Jul 7, 2026
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About Us
Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it’s why we are leading the way.
Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.
Ready to make an impact? Join us and let’s build the future together.
About the role
The Senior Sustaining Forward Deployed Engineer is a senior individual contributor responsible for production operations, incident response, and post‑launch system reliability across Abacus Insights’ platform.
This role blends:
SRE and production operations
SWAT-style deep technical problem solving
Forward‑deployed, customer‑facing technical work
Hands‑on software development and automation
You will own the most complex, ambiguous, and high‑impact production issues, particularly those involving AWS infrastructure, Databricks workloads, and large‑scale data pipelines. You will work directly with customers on escalations and deployments, while ensuring learnings are translated back into durable product and platform improvements.
This is a hands-on role. You are expected to lead technically during incidents, debug live systems, and write production code where it meaningfully improves reliability and operability.
Your day to day
Production Operations Incident Response
Act as a senior technical escalation point during production incidents
Lead real-time incident triage, mitigation, and recovery efforts
Drive root cause analysis (RCA) with a focus on systemic, long-term fixes
Identify recurring failure patterns and push for architectural or operational improvements
Partner with Customer Success and Engineering to manage customer impact during incidents
Sustaining Engineering Post‑Launch Ownership
Own post-launch reliability, stability, and operational quality of core systems
Investigate and resolve complex field issues and production defects
Ensure fixes developed during incidents or customer escalations are up streamed into the core product
Improve operational readiness of services through better runbooks, monitoring, and alerting
Reduce operational toil by converting repeated manual work into automation
Forward Deployed / Customer‑Facing Engineering
Engage directly with strategic customers to solve real-world, production-grade technical challenges
Support complex deployments, integrations, and escalations in customer environments
Act as a trusted technical partner to customers during high-impact issues
Translate customer learnings into concrete product, platform, and operational improvements
Contribute to reusable tools, playbooks, and best practices that accelerate future deployments
AWS Databricks Technical Expertise
Serve as a subject matter expert for AWS-hosted production systems
Troubleshoot and resolve issues across:
AWS compute, storage, networking, IAM, and security
Databricks jobs, clusters, and Spark-based data pipelines
Debug performance degradation, scalability issues, job failures, and data correctness problems
Partner with platform and data teams to harden systems for reliability, scale, and operability
Software Development Automation
Write production-quality code to:
Automate operational workflows
Improve reliability and observability
Eliminate manual intervention and reduce incident frequency
Contribute primarily in Python, with exposure to JVM-based systems as needed
Review code with a strong emphasis on operability, resiliency, and maintainability
Advocate for “build it so it can be operated” engineering standards
Technical Leadership Collaboration
Provide technical leadership without formal authority, influencing design and operational decisions
Mentor engineers through pairing, reviews, and incident leadership
Collaborate closely with Product, Engineering, Data, and Customer teams
Operate effectively in high-pressure, ambiguous environments, especially during customer-impacting incidents
What you bring to the team
10+ years of experience in software engineering, SRE, sustaining engineering, …