Product Support Engineer
Quick Summary
Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions. Since 2006,
Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing & commercial effectiveness, Customer analytics, Operational excellence, ESG & sustainability.
With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.
We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.
Your responsibilities
As a Product Support Engineer at Ekimetrics, you will play a pivotal role in supporting and strengthening our technical ecosystem across core applications and the “as-code” solutions that are especially central to our US operations. This role combines Support & Platform Engineering, giving you deep exposure to production environments while collaborating directly with global engineering teams.
- Provide L1/L2 support for core applications and as‑code components used within the US region.
- Diagnose issues across the full technical stack, frontend, backend, data, cloud infrastructure, and monitoring layers.
- Interact with internal users to understand issues, reproduce scenarios, and drive toward resolution.
- Access and operate within US client production environments while following strict security, compliance, and operational protocols.
- Use the full tech stack (e.g., Kubernetes, Node.js, MongoDB, Angular, RabbitMQ) to identify root causes and escalate to the appropriate engineering teams when necessary.
- Maintain and improve support processes and documentation, building on best practices established globally.
- Partner with Platform Engineering teams to enhance system reliability, scalability, observability, and resource efficiency.
- Troubleshot platform level issues such as pod behavior, resource limits, memory configuration, and deployment workflows.
- Contribute to reducing recurring incidents through proactive improvements in tooling, automation, and platform behavior.
- Collaborate with global engineering teams to ensure alignment across regions.
- Serve as a key technical partner to US delivery teams, helping triage issues and ensuring smooth operations.
- Coordinate with global teams in France and other regions to share learnings, escalate product-level bugs, and contribute to continuous improvement across the engineering organization.
- Work closely with platform and cloud engineering to ensure high performance and resilience across production environments.
Your profile
- Bachelor’s or Master’s degree in Computer science, Engineering, Information Systems, or equivalent practical experience.
- 3 – 5 years of product support and cloud experience.
- Familiarity with software engineering, cloud & platform engineering (Kubernetes, Redis, Helm charts, ArgoCD), and tracking tools (Jira & Jira Service Management, Compass, New Relic).
- Demonstrated ability to investigate platform behavior, troubleshoot across the stack, and identify root causes in production environments.
- Skilled in diagnosing complex technical issues, even without coding.
- Leverages strong organizational and incident-management capabilities to prioritize, track, and resolve problems.
- Experienced in collaborating effectively with globally distributed teams to drive issue resolution.
- Strong communicator able to translate technical concepts into clear, actionable guidance for internal stakeholders, maintaining a customer-satisfaction mindset even without direct client interaction.
- French language fluency a bonus but not necessary.
Listing Details
- Posted
- March 12, 2026
- First seen
- March 26, 2026
- Last seen
- April 22, 2026
Posting Health
- Days active
- 26
- Repost count
- 0
- Trust Level
- 44%
- Scored at
- April 22, 2026
Signal breakdown
Please let Ekimetrics know you found this job on Jobera.
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