Lead technical architecture and operations for Kubernetes-based platform reliability and distributed systems.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 165,500 - 313,500 in Colorado // 157,000 - 361,000 in North Carolina
Responsibilities
Serve as the senior technical authority for Kubernetes platform architecture, reliability, and operational behavior.
Own the investigation and resolution of complex issues involving pod failover, service availability, control plane operation, network timeouts, resource scheduling, and cluster capacity.
Define and drive improvements to Kubernetes high availability, fault tolerance, and disaster-recovery strategies.
Establish clear technical ownership and operating models for platform capabilities.
Lead architecture, design, and implementation of platform improvements across multiple engineering teams.
Requirements
Nice to have: Kubernetes distributions (EKS, AKS, GKE, OpenShift)
Help turn the next generation of geospatial intelligence ideas into real-world capabilities by building and refining Python-based applications and cloud-enabled workflows in AWS.
Compensation
$125,000–$155,000
Responsibilities
Develop, sustain, debug, and test Python software components, including concurrent and multi-process applications.
Build and support event-driven systems, queues, producer/consumer pipelines, and distributed or microservices architectures.
Develop and integrate solutions using AWS services and cloud-based processing workflows.
Conduct design and code reviews and collaborate across technical teams.
Implement and test statistical, optimization, similarity-scoring, probabilistic-matching, and assignment methods in code.
Design and build enterprise-scale security automation platforms and services at Epic Games.
Locations (2)
California, United States
Washington, United States
Compensation
The expected annual base pay range(s) for this position are detailed below. California Base Pay Range $178,377—$261,620 USD Washington Base Pay Range $162,161—$237,835 USD
Responsibilities
Identify the highest-impact opportunities to automate security operations, then independently design, build, and ship the solution end to end
Architect and deliver enterprise-scale platforms and services (detection and response pipelines, asset and software inventory, risk and exception workflows) that are adopted well beyond InfoSec
Build and harden Al-agent workflows that take on recurring security work, with the validation, auditability, and guardrails needed to trust them in production
Integrate security tooling, cloud platforms, and internal data sources into cohesive systems with clean APIs and clear ownership
Corporate Vice President - Enterprise Quality Engineering Architect
Lead enterprise quality engineering for Enterprise Technology Services, Cyber/Security, and AI & Data, driving automation-first testing and quality standards across value streams.
Compensation
Salary Range: $133,000-$190,000
Responsibilities
Own the EQE strategy, process, and risk posture for your domain
Serve as the QE partner to ETS, Security and AI&Data value streams
Establish approaches for infrastructure and platform regression, resilience, and performance testing
Define data quality, pipeline, and model validation practices
Direct the release testing team for your domain
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline
Nice to have: financial services
Nice to have: insurance
Nice to have: consulting-partner or offshore test teams
Lead technical authority for Kubernetes platform architecture, reliability, and operational behavior, owning complex platform-level challenges and driving improvements across engineering teams.
Locations (2)
Durham, North Carolina, United States
Colorado, United States
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 165,500 - 313,500 in Colorado // 157,000 - 361,000 in North Carolina
Responsibilities
Serve as senior technical authority for Kubernetes platform architecture, reliability, and operational behavior
Own investigation and resolution of complex issues involving pod failover, service availability, control plane operation, network timeouts, resource management, and cluster capacity
Define and drive improvements to Kubernetes high availability, fault tolerance, and disaster-recovery strategies
Establish clear technical ownership and operating models for platform capabilities
Senior Site Reliability Engineer responsible for reliability, performance, and scalability of a mission‑critical platform.
Compensation
The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD).
Responsibilities
Design and implement automation
Monitor infrastructure health
Troubleshoot production issues across AWS environments
Improve system stability, resiliency, and operational efficiency
Support modern engineering practices that reduce manual effort and strengthen service delivery
Requirements
Bachelor’s degree in CS, Computer Engineering, or Information Systems
Master’s degree in CS, Computer Engineering, or Information Systems
8+ years of experience in application design and development, including back‑end database architectures, relational or cloud‑based, and full lifecycle software development in lieu of a degree
The AI Operations Analyst manages day‑to‑day operational analysis and monitoring for AI applications and agents, ensuring reliable, secure, transparent, and cost‑effective services.
Locations (3)
Lisbon, Lisbon District, Portugal
Madrid, Madrid, Spain
Milano, Italy
Compensation
The anticipated base pay range for this position is:
€40.600,00 - €65.320,00
Responsibilities
Own routine monitoring of AI applications and agents, analysing logs, traces, model and tool calls, retrieval steps, latency, failures, and token consumption to identify service issues.
Validate telemetry completeness across agent workflows and supporting services, investigate gaps, and coordinate corrective actions with engineers and platform owners.
Build and maintain operational dashboards and reports covering availability, latency, errors, quality signals, policy alerts, consumption, and service health.
The Senior Analytics Engineer transforms complex healthcare business needs into scalable, governed, and analytics-ready data solutions.
Compensation
Posted Max Pay Rate
USD $185,000.00/Yr.
Posted Min Pay Rate
USD $130,000.00/Yr.
Responsibilities
Collaborate across clinical, operational, and business teams to deeply understand business processes and workflows, translating needs into scalable data models, curated datasets, standardized metrics, and AI-ready data assets that support analytics, machine learning, and decision-making
Simplify and operationalize complex data and AI requirements by decomposing problems, identifying key assumptions, and designing maintainable, production-grade data and feature pipelines
Design, build, and optimize data transformation pipelines and analytics models using cloud platforms (e.g., Azure Data Factory, Databricks, Microsoft Fabric)
Develop and maintain feature engineering pipelines to support machine learning use cases (e.g., risk scoring, readmission prediction, utilization forecasting)
Build reusable data marts and feature stores that serve both BI and AI/ML workloads
Requirements
Bachelor’s degree in information technology, Computer Science, or a related field, or equivalent experience
Build, maintain, and evolve CI/CD platforms for enterprise application delivery.
Locations (4)
Minneapolis, Minnesota, United States
Chicago, Illinois, United States
Kansas City, Missouri, United States
Eden Prairie, Minnesota, United States
Compensation
Compensation Range
$102,700.00 - $231,100.00
Responsibilities
Ensure availability, reliability, and performance of critical DevOps platforms and services
Design, build, and support continuous integration and continuous deployment infrastructure across Windows, Linux, containerized, and cloud-based environments
Challenge established ways of working, prototype quickly with emerging technologies, and turn successful experiments into durable, maintainable products
Analyse performance against agreed service‑level indicators and objectives, tune operational alert thresholds within approved standards, and recommend improvements to monitoring coverage.
Investigate incidents using logs and traces, develop evidence‑based hypotheses, and coordinate next steps while following approved access and sensitive‑data handling procedures.
Requirements
Bachelor's degree in Computer Science, Engineering, Data Analytics, Artificial Intelligence, or a related discipline, or equivalent relevant experience
Nice to have: regulated environments with security, privacy, quality, risk, or audit requirements
Nice to have: supporting an AI application, RAG workflow, chatbot, or agent framework in a live service environment
Develop and maintain automated infrastructure and deployment solutions using IaC, scripting, and configuration management tools
Support Kubernetes, Docker, build agents, deployment platforms, and application delivery tools used across development teams
Troubleshoot and resolve complex software delivery, deployment, and infrastructure issues across application, platform, networking, and operating system layers
Requirements
Bachelor's degree in Computer Science, Software Engineering, IS, MIS, or other technology degree
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