Machine Identity Management Analyst

Medirest Signature; London; On-site; GBP 50,000 - 75,000; Full time

Job summary

A leading company is seeking a Machine Identity Management Analyst to enhance secrets management across their services. The role involves collaborating with feature teams, risk management, and fostering innovation while maintaining security standards. Candidates should possess a solid background in secrets management and be adaptable to a fast-paced environment.

Qualifications

• Knowledge of secrets management solutions like Hashicorp Vault or CyberArk.
• Experience in maintaining a service including infrastructure management and customer support.
• Good understanding of Agile methodologies and DevOps.

Responsibilities

• Support identification of risks and contribute to risk management strategies.
• Collaborate with feature teams and participate in Agile processes.
• Actively contribute to the centre of excellence and share best practices.

Skills

Secrets management solutions

Infrastructure management

Service recovery

Networking

Customer support

Communication

Agile methodologies

DevOps

Tools

Hashicorp Vault

CyberArk Conjur

Akeyless

Fortanix

Infrastructure-as-Code (Terraform)

IAM

Kubernetes

Databases & Application Security

Job description

Join us as a Machine Identity Management Analyst

• Take on a new challenge and use your specialist knowledge of secrets management to support the wider organisation in building and operating secure services that protect both colleagues and customers
• You’ll act as a subject matter expert in secrets management , making sure that the security implications of the backlog are understood in the right way, building security early into design
• You’ll be joining an exciting and fast-paced area of the bank, where you can expect great exposure both for you and your work
• Flexibility to support the team outside regular hours is essential, including being on-call one week in every four (Monday–Thursday, 6pm–8am; Friday 6pm through to Monday 8am), in addition to working the day shift

What you'll do

As a Machine Identity Management Analyst in secrets management, you’ll work at a domain level to understand and ensure robust security is continuously considered and incorporated at every stage, programme increment and feature team delivery throughout the development lifecycle and through to support.

You’ll collaborate with feature teams and participate in story refinement, sprint planning and retrospective sessions, establishing a culture of innovation and strategic thinking that makes sure that the bank has knowledge of, and opportunities to exploit, the latest developments in your area of specialism.

You’ll also be:

• Supporting with the identification of risks, while contributing to risk management strategies to achieve business objectives and customer outcomes
• Making sure that decisions made are based on robust data, return on investment and value measures that demonstrate thoughtful and intelligent cost management
• Actively contributing to your centre of excellence (CoE) specialism by cross sharing learnings and best practice with CoE and community of practice colleagues
• Building and leveraging relationships with colleagues across the bank and third parties to ensure decisions made are commercially focused and create long term value for the organisation

The skills you'll need

To be successful in this role, you’ll need knowledge of secrets management solutions like Hashicorp Vault, CyberArk Conjur, Akeyless, Fortanix, or Cloud Native.

You’ll also demonstrate experience of, maintaining a service including infrastructure management, networking, service recovery and customer support.

Additionally, you’ll need:

• A good understanding of Infrastructure-as-Code like HashiCorp Terraform
• A good understanding of IAM, DevSecOps, Cloud, Kubernetes, Databases & Application Security
• The ability to communicate clearly and concisely, translating technical issues into business terms and documentation
• A good understanding of Agile methodologies and DevOps