Senior Site Reliability Engineer, Elastic
Capacity - Platform Infrastructure
€98.4-126.9k
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
€98.4-126.9k
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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