Engineering Manager Analytics Platform
Dynatrace
Job Overview
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Job Description
Your role at Dynatrace
Are you a hands-on leader who loves shipping exceptional products while growing great engineers? We’re looking for an Engineering Manager Analytics Platform to lead a small, high-impact team (5–15 engineers) and turn product vision into reliable, scalable systems. You’ll partner closely with Product Managers, Product, Architecture, and cross-functional teams to define the roadmap, deliver on commitments, leverage modern AI tooling to accelerate development, and build a resilient engineering culture.
What You Will Do
- Lead a team of 5–15 Software Engineers and own delivery — you will be accountable for timelines, quality, and production releases.
- Drive execution by setting clear goals, managing dependencies, removing blockers, and ensuring predictable delivery of milestones.
- Mentor, and grow the engineering team, fostering their technical excellence and career progression.
- Drive career development, promotions, and compensation planning.
- Drive hiring, team scaling, and organizational growth initiatives.
- Align product delivery and roadmap execution with company strategy.
What Will Help You Succeed
- 5+ years of experience in software development.
- 3+ years of experience in technical leadership role.
- Strong ability to break down high-level technical requirements into actionable plans and deliverables.
- Hands on experience with AI-driven development is preferred.
- Experience with distributed systems technologies such as Kafka, or Kubernetes is preferred.
- Experience with Java and Java frameworks (e.g. Spring) is preferred.
- A proven passion for coaching, mentoring and empowering others.
- Excellent communication and leadership skill to manage teams and collaborate across departments.
Why you will love being a Dynatracer
A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly. Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research. A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries. An environment that fosters innovation, enables creative collaboration, and allows you to grow. A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals. A truly international mindset with Dynatracers from different countries & cultures all over the world, and English as the corporate language that connects us all. A culture that is being shaped by the diverse personalities, expertise, and backgrounds of our global team. For this position we offer exclusive relocation support to our R&D Headquarters in Linz, ranked among the top seven most sustainable cities in the world, where cutting-edge innovation intersects with an exceptional quality of life and affordable living costs! Click this link to find out more.
Compensation And Rewards
We offer attractive compensation packages and stock purchase options with numerous benefits and advantages. Due to legal reasons, we are obliged to disclose the minimum salary for this position, which is € 75.000 gross per year based on full-time employment. We offer a higher salary in line with qualifications and experience.
Key skills/competency
- Engineering Leadership
- Analytics Platform
- Software Development
- Distributed Systems
- Kafka
- Kubernetes
- Java/Spring Framework
- AI-driven Development
- Team Mentorship
- Product Delivery
How to Get Hired at Dynatrace
- Research Dynatrace's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience in analytics platforms, distributed systems, Java, and technical leadership roles.
- Showcase leadership skills: Prepare examples demonstrating team leadership, mentorship, and successful project delivery.
- Understand their tech stack: Familiarize yourself with Kafka, Kubernetes, Java, and Spring framework as mentioned.
- Prepare for AI-driven development discussions: Demonstrate interest and knowledge in applying modern AI tooling.
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