Senior Sustaining and Forward Deployed Engineer

Jobtailor; Deutschland; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Jobtailor in Germany seeks a senior production/DevOps engineer focused on incident management and reliability. You will act as senior escalation point during production incidents, drive RCA, and push for architectural improvements to prevent recurrences.

You will own post-launch reliability, partner with Engineering and Customer teams, and contribute to reusable tools and playbooks. Proficiency in Python and Databricks, AWS expertise, and strong communication are essential.

Qualifikationen

• 10+ years of experience in software engineering, SRE, sustaining engineering, or production operations.
• Hands-on experience operating production systems in AWS.
• Strong experience troubleshooting Databricks and large-scale data platforms.
• Proficiency in Python and building production services or tooling.
• Strong understanding of distributed systems, incident management, monitoring/observability, and CI/CD with IaC.
• Proven ability to own problems end-to-end, from detection to resolution.
• Excellent communication, especially during incidents and escalations.
• Ability to derive root cause across systems and codebases with minimal documentation.
• Strong operational risk awareness and hardening of systems.

Aufgaben

• Act as senior technical escalation point during production incidents
• Lead real-time incident triage, mitigation, and recovery efforts
• Drive root cause analysis 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
• 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 escalations are upstreamed 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
• Engage directly with strategic customers to solve production-grade 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 for future deployments
• Serve as a subject-matter expert for AWS-hosted production systems
• Troubleshoot across AWS compute/storage/networking/IAM/security and Databricks pipelines
• Write production-quality code to automate workflows and improve observability
• Review code with emphasis on operability, resiliency, maintainability
• Advocate for build-it-so-it-can-be-operated engineering standards
• Provide technical leadership without formal authority and mentor engineers
• Collaborate with Product, Engineering, Data, and Customer teams
• Operate effectively in high-pressure environments during customer-impacting incidents

Kenntnisse

Python

AWS

Databricks

SRE

Incident management

Observability

CI/CD

Tech leadership

Communication

Mentoring

Jobbeschreibung

Responsibilities

• Act as 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
• 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
• 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
• 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
• 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
• 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

Requirements

• 10+ years of experience in software engineering, SRE, sustaining engineering, or production operations
• Deep hands‑on experience operating production systems in AWS
• Strong experience troubleshooting Databricks and large‑scale data platforms
• Proficiency in Python and experience building production services or tooling
• Strong understanding of:
  • Distributed systems
  • Incident management and RCA practices
  • Monitoring, alerting, and observability
  • CI/CD Pipelines that leverage Infrastructure as Code.
• Proven ability to own problems end‑to‑end, from detection to permanent resolution
• Excellent communication skills, especially during incidents and customer escalations
• Ability to work backward from customer impact to root cause across systems and codebases, delivering fixes in environments with minimal documentation.
• Strong instinct for operational risk, with the ability to proactively identify failure modes and harden systems before they impact customers.

Core Competencies

Demonstrates expertise in managing production systems, particularly in AWS, with a strong focus on incident management, root cause analysis, and operational improvements. Proficient in Python programming and capable of leading technical initiatives while mentoring teams in high‑pressure environments.