Senior Site Reliability Engineer (Capacity) - Platform Infrastructure

Elastic
Full-time•DevOps•Ireland
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At a glance

Employment type
Full-time
Location
Ireland
Workplace
On-site
Category
DevOps

Technologies & skills

Other technical skills

What you'll be doing

Elastic is seeking a Senior Site Reliability Engineer focused on capacity management for their Platform Infrastructure. The role involves optimizing compute resources for Elastic Cloud and Serverless workloads, collaborating with cross-functional teams to address cloud scaling challenges.

  • Assess current and future capacity requirements based on workload demands.
  • Develop and maintain accurate capacity models that predict resource needs.
  • Implement strategies for optimizing resource usage across cloud environments.
  • Analyze capacity metrics and trends for effective resource allocation.
  • Operate an autoscaling framework for customer workloads.

Key requirements

Must-have

  • 5+ years with cloud infrastructure and capacity management
  • Knowledge of performance monitoring and optimization techniques
  • Understanding of cloud scaling challenges and solutions
  • Proficiency with incident investigation and troubleshooting processes
  • Experience with compute auto-scaling processes and capacity reservations across major CSPs
  • Solid software and platform engineering background

Experience: 5+ years

Role signals

Technical focus
DevOps
Hands-on vs management
Mixed

Full job description

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

As a Principal Platform Engineer focused on capacity, you will play a crucial role in managing and optimizing our compute resources, ensuring that our Elastic Cloud Hosted and Serverless workloads can scale seamlessly. You’ll collaborate closely with our control plane and cross-functional platform engineering teams, addressing the real-world challenges of cloud scaling and resource allocation. Our diverse team spans EMEA and NASA, and together we tackle the complexities of building scalable systems, making a meaningful impact on how we serve our customers.

What You Will Be Doing

  • Assess current and future capacity requirements based on workload demands to ensure seamless scaling of resources. Develop and maintain accurate capacity models that predict resource needs and align with business objectives. Collaborate with teams to implement proactive measures that prevent capacity shortages and bottlenecks.

  • Implement effective strategies for optimizing resource usage across our cloud environments. Ensure that compute resources are utilized efficiently to enhance performance and support seamless scalability.

  • Analyze capacity metrics and trends to guide effective resource allocation decisions. Develop insightful reporting tools that provide clear visibility into capacity and performance, helping to optimize our compute resources.

  • Operate an autoscaling framework that accommodates various customer workloads seamlessly. Optimize infrastructure performance across over 60 regions in Elastic Cloud. Collaborate with development teams to implement scaling best practices effectively.

What You Bring

  • 5+ years with cloud infrastructure and capacity management

  • Knowledge of performance monitoring and optimization techniques

  • Understanding of cloud scaling challenges and solutions

  • Proficiency with incident investigation and troubleshooting processes

  • experience with compute auto-scaling processes and capacity reservations across the three major CSPs

  • solid software and platform engineering background

  • worked with the three major cloud service providers and navigated compute capacity scaling issues

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.

The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.

The typical starting salary range for this role is:

€98.400—€126.900 EUR

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

  • Competitive pay based on the work you do here and not your previous salary

  • Health coverage for you and your family in many locations

  • Ability to craft your calendar with flexible locations and schedules for many roles

  • Generous number of vacation days each year

  • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service

  • Up to 40 hours each year to use toward volunteer projects you love

  • Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

You will be assessed on your expertise in cloud infrastructure, capacity management, and scaling strategies for Elastic Cloud. Expect focus on optimizing compute resources, autoscaling frameworks, and collaborating with cross-functional teams to ensure seamless scalability and performance.

  • Cloud capacity management·High
  • Compute resource optimization·High
  • Autoscaling frameworks·High
  • Cross-team collaboration·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Cloud Capacity Management Experience

    0–8 min

    List and reflect on your most relevant projects involving capacity planning and scaling in cloud environments.

  2. Prepare Multi-Cloud Optimization Examples

    8–15 min

    Identify specific instances where you optimized resources across AWS, Azure, and GCP, noting challenges and solutions.

  3. Summarize Incident Response Stories

    15–23 min

    Recall and outline key incidents you resolved related to resource allocation or scaling, focusing on your actions and outcomes.

  4. Refresh Autoscaling and Reporting Knowledge

    23–30 min

    Review best practices and tools for autoscaling and capacity reporting, ensuring you can discuss them confidently.

Likely questions

, 8 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 6 items
  • Cloud Capacity Management

    You will be responsible for assessing and forecasting resource needs to ensure seamless scaling of Elastic Cloud workloads.

  • Autoscaling Frameworks

    Operating and optimizing autoscaling frameworks is central to supporting diverse customer workloads across multiple regions.

  • Performance Monitoring and Optimization

    You must analyze metrics and trends to guide resource allocation and prevent bottlenecks.

  • Multi-Cloud Experience

    Experience with all three major cloud service providers is required to navigate compute capacity scaling issues.

  • Incident Investigation and Troubleshooting

    Proficiency in diagnosing and resolving infrastructure incidents is essential for maintaining reliability.

  • Cross-Functional Collaboration

    You will work closely with platform engineering and development teams to implement scaling best practices.

What to research

, 3 items
  • Cloud Capacity Modeling and Forecasting

    Expect deep questions on how you predict and plan for resource needs, including modeling techniques and aligning with business goals.

  • Multi-Cloud Scaling and Optimization

    Be ready to discuss hands-on experience with compute scaling and optimization across AWS, Azure, and GCP.

  • Autoscaling Frameworks for Diverse Workloads

    Prepare to explain how you operate and optimize autoscaling frameworks to support a wide range of customer workloads.

Questions to ask

, 6 items
  1. How does the team currently forecast and plan for future capacity needs?

    Why ask this? Clarifies the maturity of current processes and your potential impact.

  2. What are the biggest challenges faced when scaling Elastic Cloud across multiple regions?

    Why ask this? Reveals technical hurdles and where your expertise will be most valuable.

  3. How do cross-functional teams collaborate on scaling and optimization projects?

    Why ask this? Shows how you will interact with other teams and the collaboration culture.

  4. What tools and frameworks are used for capacity monitoring and reporting?

    Why ask this? Helps you understand the technical stack and where you can contribute.

  5. How is success measured for capacity management initiatives?

    Why ask this? Clarifies expectations and key performance indicators.

  6. What opportunities exist for professional growth within the platform infrastructure team?

    Why ask this? Provides insight into career development and advancement.

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Apply NowApply before: 24 Oct 2026