Immutable jobs

Staff Cyber Resilience Engineer Denver, CO Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We're looking for a Staff Cyber Resilience Engineer to lead our defense against the attacks that matter most: ransomware, destructive wipes, and data loss at scale. This is a hands-on technical leadership role. You will own the design and engineering of our Isolated Recovery Environment, set the standard for Infrastructure as Code across the organization, and ensure that if our AWS environment is ever compromised, we can restore operations with certainty and speed. You will work with a high-caliber engineering team, have direct influence on our security architecture, and lead recovery exercises that test the organization end-to-end. What You'll Do Own Our Recovery Architecture Design and build our Isolated Recovery Environment - a hardened AWS account with immutable vaults that break the attacker's kill chain before it reaches our data. Threat model our environment with a deep understanding of cloud-native attack patterns: IAM privilege escalation, backup deletion, ransomware persistence, and lateral movement across accounts. Validate and continuously improve backup configurations to ensure recoverability, not just existence. Standardize and Automate Infrastructure Lead our transition to 100% Infrastructure as Code. Every asset (VPCs, IAM roles, security groups) must be

Systems Engineer - Evaluation Engineering Cupertino, United States of America We are looking for a Distributed Systems Engineer to own the infrastructure powering our core Siri Agentic Evaluation Platform. Evaluation is no longer just a static test suite-it is a highly dynamic, massive-scale distributed problem. Our platform enables teams to run high-throughput agentic simulations, orchestrate multi-model judging pipelines, and generate real-time observability dashboards across billions of tokens and complex data types. In this role, you will design the execution engine that coordinates these complex evaluation loops. You will build systems that remain deterministic, fault-tolerant, and cost-efficient, even when coordinating massive parallel requests across heterogeneous device types(iPhones, Mac, iPads etc). Distributed Execution Engine: Architect and scale the core asynchronous engine responsible for orchestrating thousands of parallel agent simulations, validation tests, and LLM-as-a-judge pipelines. Internal Developer Platform (IDP): Design and build self-service infrastructure, CLI tools, and internal APIs that allow ML and product teams to easily integrate evaluation pipelines into their CI/CD workflows. Backend API & Service Architecture: Design, build, and maintain highly performant, type-safe APIs (gRPC/REST) capable of serving complex evaluation pipelinee, trace data, and real-time generation metrics. Stream Processing & Lineage: Build robust data pipelines to ingest and transform high-volume execution traces. Ensure immutable data lineage so that every evaluation metric can be perfectly traced back to its raw generation for granular error attribution. Infrastructure-as-Code & GitOps: Own the deployment topologies of the evaluation platform across multi-tenant clusters using declarative infrastructure and continuous delivery practices. Reliability, Observability & Guardrails: Implement

AVP, Marketing Data Engineering San Diego, CA Axos Bank Target Range: $115,000.00/Yr. - $150,000.00/Yr. Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target: 10% Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10% These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets. About This Job The AVP, Marketing Data Engineering leads the design and operation of scalable, reliable data pipelines that power marketing activation and measurement. This role owns how marketing data is ingested, processed, and delivered, partnering closely with analytics, governance, and platform teams. This is a hands-on leadership role with accountability for both architecture and execution. Responsibilities: Design and operate secure batch and near‑real‑time data ingestion pipelines Ensure raw data is immutable, traceable, and standardized for downstream use Build transformation layers and canonical data models that protect downstream systems Own pipeline reliability, monitoring, and data quality controls Lead and scale hybrid onshore/offshore engineering teams Establish runbooks, quality standards, and escalation paths Partner with analytics, data governance, MarTech, and activation teams Drive automation and AI adoption to improve quality, efficiency, and scalability Qualifications: Bachelor's degree preferred 7+ years in data engineering or data platform roles Experience leading engineering teams, including distributed or offshore models Strong experience with modern data platforms (e.g., Databricks or similar) Hands-on expertise in data ingestion, transformation, and quality monitoring Experience in regulated environments (financial services preferred)