McKesson is seeking a Sr. SOM Operations Support Engineer to help deliver highly reliable, scalable, and secure healthcare technology solutions. This role combines advanced quality engineering practices, production support expertise, service reliability engineering, and test automation leadership to improve customer outcomes and platform stability.
Compensation
Our Base Pay Range for this position
€70,600 - €117,600
Responsibilities
Lead quality engineering strategy across functional, integration, API, performance, and end-to-end testing initiatives.
Drive test automation adoption and measure quality impact throughout the SDLC.
Support incident triage, major incident management, root cause analysis (RCA), and post-incident improvements.
Build and enhance observability, monitoring, and alerting solutions using tools such as Splunk, Dynatrace, AppDynamics, and Azure Monitor.
Investigate application, integration, infrastructure, and performance issues to improve service reliability and availability.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience
The Director, Platform Engineering & DevOps is responsible for supporting and executing Fortrea's Platform Engineering, DevOps, Cloud Engineering, and Software Delivery strategy in alignment with established enterprise standards.
Responsibilities
Support and execute Fortrea's Platform Engineering, DevOps, Cloud Engineering, and Software Delivery strategy aligned with business and technology objectives.
Build, lead, mentor, and develop Engineering Managers, Platform Engineers, DevOps Engineers, Site Reliability Engineers, Cloud Engineers, and technical leaders while creating strong succession plans and career development opportunities.
Establish and evolve Internal Developer Platforms (IDPs), reusable engineering services, self-service developer capabilities, golden paths, engineering templates, and developer portals that improve engineering productivity and reduce cognitive load.
Treat engineering platforms as products by partnering with engineering teams, measuring platform adoption, collecting customer feedback, and continuously improving platform capabilities.
Lead enterprise adoption of AI-assisted software engineering tools and intelligent automation that improve software development, infrastructure provisioning, testing, documentation, deployment, security validation, operational support, and engineering productivity.
Requirements
Bachelor's degree in Computer Science
Bachelor's degree in Information Technology
Director, Control Platform, Technology Product Manager – Aladdin
Lead the Control Platform product family, owning product strategy, vision, roadmap, and measurable outcomes for BlackRock’s Aladdin technology platform.
Responsibilities
Own product vision, strategy, roadmap, and KPIs for the Control Platform product family
Partner with engineering and architecture to define and prioritize capabilities across monitoring, incident response, service requests, change, capacity, and recovery
Build a sequenced roadmap toward highly automated operations with measurable improvements in detection, time to recover, and share of work resolved without manual effort
Define and prioritize capabilities that support both human-led and AI-driven operations
Build a strong community of platform users across engineering, operations, and client-facing teams
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related discipline
As a Platform Enablement Engineer, you will help engineering teams adopt platform engineering tools and practices. You will assess current ways of working and create clear adoption plans. You will also provide technical guidance, training, documentation and reusable patterns.
Responsibilities
Review engineering practices, technical needs and gaps against target platform patterns
Create practical adoption roadmaps with clear steps, dependencies and decision points
Develop golden paths, onboarding guides, technical documentation, playbooks and reusable content
Deliver technical training, workshops, walkthroughs and office hours
Identify common technical issues and share insights with platform owners and enablement leaders
As a Forward Deployed Engineer - AI/ML Platforms at Anyscale, you’ll partner with some of the world’s most sophisticated AI organizations to design, deploy, and operate the infrastructure powering their production AI workloads.
Responsibilities
Design and implement production-grade AI platform architectures on Kubernetes and public cloud infrastructure (AWS, Azure, and GCP).
Partner directly with customer platform, infrastructure, and ML engineering teams to deploy, operate, and optimize distributed AI workloads.
Lead implementation engagements that include platform installation, networking, security, observability, scaling, upgrades, and operational readiness.
Troubleshoot complex distributed systems issues spanning infrastructure, Kubernetes, networking, storage, and AI applications.
Develop automation, tooling, reference implementations, and infrastructure-as-code that accelerate customer success and improve repeatability.
This is a hands-on senior engineering role focused on improving production resilience, strengthening security, driving operational excellence, and enhancing the developer experience across the organization.
Compensation
The annual base salary for this position is between $140,000 CAD and $155,000 CAD per year. This role is also eligible for discretionary bonus and/or commission, as well as other benefits.
Responsibilities
Drive reliability engineering initiatives and operational excellence for mission-critical services running on AWS and Kubernetes.
Design, implement, and continuously improve deployment, release, and rollback strategies across complex distributed systems.
Establish secure-by-default CI/CD pipelines with robust automation, governance, and policy-driven controls.
Enhance platform observability through metrics, logs, tracing, and actionable alerting to improve system visibility and operational efficiency.
Define, implement, and mature Service Level Indicators (SLIs), Service Level Objectives (SLOs), and reliability standards across the organization.
Lead the India Platform Enablement team, building a skilled group that supports engineers in using platform tools, setting standards, creating guides, and improving processes.
Responsibilities
Build, lead, coach and grow the India Platform Enablement team.
Set quality standards for reviews, roadmaps, onboarding, training and guides.
Manage new requests and focus team capacity on the highest platform needs.
Create reusable onboarding content, technical guides, workshops and support methods.
Use data and user feedback to find common issues and improve tools and processes.
Requirements
Nice to have: Experience building or growing a platform adoption team
Nice to have: Experience setting up request intake
As a Platform Enablement Engineer, you will help engineering teams adopt platform engineering tools and practices. You will assess current ways of working and create clear adoption plans. You will also provide technical guidance, training, documentation and reusable patterns. Your work will help teams build the skills they need to manage their own implementation.
Responsibilities
Review engineering practices, technical needs and gaps against target platform patterns
Create practical adoption roadmaps with clear steps, dependencies and decision points
Develop golden paths, onboarding guides, technical documentation, playbooks and reusable content
Deliver technical training, workshops, walkthroughs and office hours
Identify common technical issues and share insights with platform owners and enablement leaders
The Director, Digital Platforms Agentic Operations Lead will lead the conception, design, implementation, and continuous evolution of Agentic AI solutions that will autonomously execute the Support and Operations for the eight Digital Core Platforms.
Compensation
The annual base salary for this position ranges from €67.500,00. This salary range applies to the location Greece-Thessaloniki Chortiatis.
Responsibilities
Define and lead the strategy to move Support and Operations for the eight Digital Core Platforms from a human-centric to an AI-centric model
Treat Agentic Platform Operations as a product and oversee iterative development
Define how Agentic Platform Operations interfaces with the Platforms, enterprise Operations tools, and human teams
Guide and review the architecture and implementation of the Agentic system
Define and run the KPI framework for AI Agent performance
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
Senior Manager, Platform EngineeringNewFIS Global · Bengaluru, India
Forward Deployed Engineer - AI/ML PlatformsNewAnyscale · San Francisco, US
Staff Site Reliability EngineerNewCaseware · Remote, Canada