Elasticsearch Platform Engineer

Elasticsearch Platform Engineer

London Full-Time 60000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team as an Elasticsearch Platform Engineer, managing and optimising Elastic Cloud environments.
  • Company: Northrop Grumman UK is dedicated to solving complex challenges in technology and security.
  • Benefits: Enjoy flexible working options, private healthcare, performance bonuses, and career development opportunities.
  • Why this job: Make a real impact on national security while working in an inclusive and innovative environment.
  • Qualifications: Strong knowledge of Elasticsearch, cloud platforms, and scripting; experience in security compliance is a plus.
  • Other info: UK citizenship and highest level government clearance required; relocation assistance may be available.

The predicted salary is between 60000 - 84000 £ per year.

UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE TYPE: UK-Highest Level of Government Clearance

TRAVEL: Yes, 10% of the Time

Salary: £77,400 - £116,000

Define Possible at Northrop Grumman UK

At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it’s the foundation for your career development and the impact we have within the community.

Opportunity: This is more than just a job; it’s a mission. We are seeking an experienced Elasticsearch Platforms Engineer to join our Data Platforms Infrastructure team. This role is pivotal in supporting and maintaining our Elastic Cloud Enterprise (ECE) environment, designing and deploying Elastic solutions for Observability and Search, and ensuring the highest standards of security, privacy, and compliance. The ideal candidate will have a strong background in Elasticsearch, a keen understanding of cloud architecture, and a proven track record of managing and optimizing large-scale Elastic deployments.

Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme.

Role responsibilities:

  • ECE Support and Maintenance: Manage, monitor, and maintain Elastic Cloud Enterprise (ECE) environments. Perform routine updates, patches, and upgrades to ensure optimal performance and security. Troubleshoot and resolve issues related to Elasticsearch clusters, indices, and ECE infrastructure.
  • Design and Deployment: Design scalable and efficient Elasticsearch solutions for Observability and Search use cases. Implement best practices for data indexing, storage, and retrieval. Work with stakeholders to understand requirements and translate them into technical solutions.
  • Security, Privacy, and Compliance: Implement and enforce security measures to protect Elasticsearch data, including access controls, encryption, and monitoring. Ensure compliance with relevant data protection regulations and industry standards (e.g., GDPR, HIPAA). Conduct regular security audits and vulnerability assessments.
  • Performance Optimization: Monitor and analyse the performance of Elasticsearch clusters and indices. Optimize configurations and queries to improve performance and reduce latency. Implement effective indexing strategies and shard allocation for balanced workloads.
  • Collaboration and Support: Collaborate with DevOps, Security, and Development teams to integrate Elasticsearch with other systems and applications. Provide expert support and guidance to development teams on Elasticsearch-related projects. Develop and maintain documentation, including architecture diagrams, operational procedures, and troubleshooting guides.
  • Innovation and Continuous Improvement: Stay updated with the latest features and updates in the Elasticsearch ecosystem. Identify opportunities for automation and improvement in Elasticsearch deployment and management processes. Lead initiatives to integrate new technologies and practices that enhance the Elasticsearch platform.

We are looking for:

  • Strong understanding of Elasticsearch architecture, components, and APIs.
  • Experience with designing and deploying Elasticsearch for Observability and Search use cases.
  • Knowledge of security best practices and compliance requirements (e.g., GDPR, HIPAA).
  • Proficiency in scripting and automation (e.g., Python, Bash, Ansible).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and container orchestration (e.g., Kubernetes).
  • Excellent problem-solving skills and the ability to troubleshoot complex issues.
  • Strong communication and collaboration skills.
  • Experience in Cloudera, Hadoop, Cloudera Data Science Workbench (CDSW), Cloudera Machine Learning (CML) would be highly desirable.

Work Environment: Full time on-site presence required.

If you don't meet every single requirement, we still encourage you to apply. Sometimes, people hesitate to apply because they can’t tick every box. We encourage you to apply if you believe the role will suit you well, even if you don’t meet all the criteria. You might be exactly who we are looking for, either for this position or for our opportunities at Northrop Grumman UK.

Security clearance: You must hold the highest level of UK Government security clearance.

Benefits: We can offer you a range of flexible working options to suit you, including optional compressed working schedule with every other Friday off. Our benefits include private health care, cash health plan, holiday buy and sell, career development opportunities and performance bonuses.

Why join us?

  • A mission to believe in – Every day we contribute to building a more secure and connected world, expanding our reach from land, sea, and air to space and cyberspace.
  • A place to belong and thrive – Every voice matters at our table meaning you can bring your authentic self to work.
  • Your career, your way - Shape your career journey with diverse roles, mentorship, and development opportunities that fuel your curiosity, channel your expertise, and nurture your passion.

Ready to apply? Yes – Submit your application online. Your application will be reviewed by our team and we will be in touch.

Possibly, I’d like to find out more about this role – Reach out to our team for more information and support: talentenquiries@uk.ngc.com.

No, I don’t think this role is right for me – Our extensive UK growth means we have exciting, new opportunities opening all the time.

Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.

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Contact Detail:

Northrop Grumman Corporation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Elasticsearch Platform Engineer

✨Tip Number 1

Familiarise yourself with the latest features and updates in the Elasticsearch ecosystem. This knowledge will not only help you during interviews but also demonstrate your commitment to staying current in a rapidly evolving field.

✨Tip Number 2

Network with professionals in the Elasticsearch community, especially those who work in similar roles. Engaging in discussions on platforms like LinkedIn or relevant forums can provide insights into the role and may even lead to referrals.

✨Tip Number 3

Prepare to discuss specific projects where you've designed and deployed Elasticsearch solutions. Be ready to explain your thought process, the challenges you faced, and how you optimised performance, as this will showcase your practical experience.

✨Tip Number 4

Understand the security and compliance requirements relevant to the role, such as GDPR and HIPAA. Being able to articulate how you would implement these measures in an Elasticsearch environment will set you apart from other candidates.

We think you need these skills to ace Elasticsearch Platform Engineer

Strong understanding of Elasticsearch architecture
Experience with Elastic Cloud Enterprise (ECE)
Designing and deploying Elasticsearch for Observability and Search
Knowledge of security best practices (e.g., GDPR, HIPAA)
Proficiency in scripting and automation (e.g., Python, Bash, Ansible)
Familiarity with cloud platforms (e.g., AWS, Azure, GCP)
Container orchestration experience (e.g., Kubernetes)
Excellent problem-solving skills
Strong communication and collaboration skills
Experience with Cloudera and Hadoop
Ability to troubleshoot complex issues
Performance optimisation techniques for Elasticsearch
Documentation skills for architecture and operational procedures
Continuous improvement mindset

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Elasticsearch and cloud architecture. Use specific examples from your past roles that demonstrate your ability to manage and optimise large-scale Elastic deployments.

Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and how your skills align with the responsibilities outlined in the job description. Mention your understanding of security best practices and compliance requirements, as these are crucial for the position.

Showcase Relevant Skills: Clearly list your technical skills related to Elasticsearch, scripting, and cloud platforms. Highlight any experience you have with automation tools like Python or Ansible, as well as your familiarity with container orchestration.

Prepare for Potential Questions: Anticipate questions related to your problem-solving abilities and experience with performance optimisation. Be ready to discuss specific challenges you've faced in previous roles and how you overcame them, particularly in relation to Elasticsearch.

How to prepare for a job interview at Northrop Grumman Corporation

✨Know Your Elasticsearch Inside Out

Make sure you have a solid understanding of Elasticsearch architecture, components, and APIs. Be prepared to discuss your experience with designing and deploying Elasticsearch solutions for Observability and Search use cases, as this will be crucial in demonstrating your expertise.

✨Showcase Your Security Knowledge

Since security is a top priority for this role, brush up on security best practices and compliance requirements like GDPR and HIPAA. Be ready to explain how you've implemented security measures in past projects, including access controls and encryption.

✨Demonstrate Problem-Solving Skills

Prepare to tackle complex problem-solving scenarios during the interview. Think of examples from your previous work where you successfully troubleshot issues related to Elasticsearch clusters or optimised performance, and be ready to share these experiences.

✨Collaboration is Key

Highlight your collaboration skills by discussing how you've worked with cross-functional teams, such as DevOps and Development. Share specific instances where your input helped integrate Elasticsearch with other systems or improved project outcomes.

Elasticsearch Platform Engineer
Northrop Grumman Corporation
Location: London
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