Elasticsearch Platforms Engineer
Elasticsearch Platforms Engineer

Elasticsearch Platforms Engineer

London Full-Time 42000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Support and maintain Elastic Cloud Enterprise environments while designing scalable solutions.
  • Company: Join Northrop Grumman UK, a leader in Defence and security technology.
  • Benefits: Enjoy flexible working options, private healthcare, and career development opportunities.
  • Why this job: Make a real impact on national security while working with cutting-edge technology.
  • Qualifications: Strong understanding of Elasticsearch and cloud architecture; scripting skills preferred.
  • Other info: UK citizenship and highest level government clearance required.

The predicted salary is between 42000 - 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

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.

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.

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.

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.

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

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.

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.

Elasticsearch Platforms Engineer employer: Northrop Grumman UK

At Northrop Grumman UK, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our commitment to employee growth is evident through diverse career development opportunities, flexible working arrangements, and a supportive environment where every voice is valued. Join us in London to contribute to meaningful projects that enhance national security while enjoying comprehensive benefits, including private healthcare and performance bonuses.
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Contact Detail:

Northrop Grumman UK Recruiting Team

talentenquiries@uk.ngc.com

StudySmarter Expert Advice 🤫

We think this is how you could land Elasticsearch Platforms Engineer

✨Tip Number 1

Familiarise yourself with the latest features and updates in the Elasticsearch ecosystem. This 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 industry, especially those who work at Northrop Grumman UK or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations for the role.

✨Tip Number 3

Prepare to discuss specific projects where you've designed or deployed Elasticsearch solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.

✨Tip Number 4

Understand the security and compliance aspects related to Elasticsearch, particularly GDPR and HIPAA. Being knowledgeable about these regulations will set you apart as a candidate who is aware of the critical importance of data protection in this role.

We think you need these skills to ace Elasticsearch Platforms Engineer

Strong understanding of Elasticsearch architecture and components
Experience in 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)
Experience with container orchestration (e.g., Kubernetes)
Excellent problem-solving skills
Ability to troubleshoot complex issues
Strong communication and collaboration skills
Experience in Cloudera, Hadoop, Cloudera Data Science Workbench (CDSW), Cloudera Machine Learning (CML) is desirable
Ability to conduct regular security audits and vulnerability assessments
Skills in performance monitoring and optimisation of Elasticsearch clusters
Experience in implementing effective indexing strategies and shard allocation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant 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 Strong Cover Letter: In your cover letter, express your passion for the role and how your skills align with Northrop Grumman UK's mission. Mention your understanding of security best practices and compliance requirements, as these are crucial for the position.

Showcase Problem-Solving Skills: Provide examples in your application that showcase your problem-solving abilities, particularly in troubleshooting complex issues related to Elasticsearch clusters and ECE infrastructure.

Highlight Collaboration Experience: Emphasise your experience working collaboratively with DevOps, Security, and Development teams. This is important for the role, so include specific instances where you successfully integrated Elasticsearch with other systems.

How to prepare for a job interview at Northrop Grumman UK

✨Showcase Your Elasticsearch Expertise

Make sure to highlight your experience with Elasticsearch during the interview. Be prepared to discuss specific projects where you've designed or deployed Elasticsearch solutions, particularly for Observability and Search use cases.

✨Understand Security and Compliance

Since this role involves handling sensitive data, demonstrate your knowledge of security best practices and compliance requirements like GDPR and HIPAA. Prepare examples of how you've implemented security measures in past roles.

✨Demonstrate Problem-Solving Skills

Be ready to tackle hypothetical scenarios related to troubleshooting Elasticsearch clusters or optimising performance. This will showcase your analytical skills and ability to think on your feet.

✨Communicate Effectively

Strong communication is key in this role, especially when collaborating with DevOps and development teams. Practice articulating your thoughts clearly and concisely, and be prepared to explain complex technical concepts in simple terms.

Elasticsearch Platforms Engineer
Northrop Grumman UK
N
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