RecruitBlock
Senior Software Engineer
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Senior Software Engineer
Senior Software Engineer, Cloud Infrastructure & DevOps
About the Role
RecruitBlock is leading a search for a Senior Software Engineer specialising in Cloud Infrastructure & DevOps to join a specialist digital assets business operating across blockchain, financial services, data infrastructure, and technology-enabled professional services.
This is a senior individual contributor role for an engineer who can:
- Improve systems.
- Support colleagues.
- Raise the technical standard of a growing development function.
The organisation is entering a maturer phase of technical delivery, requiring clearer ownership of infrastructure, data platform performance, secure tooling, and deployment quality. The ideal candidate will seamlessly move between hands-on technical delivery, platform improvements, and technical enablement for both technical and non-technical teams.
The Senior Software Engineer will be responsible for:
- Owning and improving the cloud infrastructure and DevOps foundations.
- Supporting the transition to microservices and flexible cloud architecture.
Core Responsibilities
Cloud Infrastructure & DevOps
- Own and manage AWS infrastructure as the senior DevOps specialist.
- Support the move toward microservices and scalable cloud architecture.
- Lead infrastructure-as-code (IaC) practices in collaboration with senior engineers.
- Establish and maintain CI/CD pipelines (staging to production).
- Implement and enhance monitoring, logging, and alerting systems.
- Ensure observability dashboards provide clarity on platform health.
- Manage cloud security, IAM policies, and compliance infrastructure.
- Provide infrastructure support for data pipelines and applications.
- Troubleshoot infrastructure, deployment, and reliability issues.
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Data Platform & Snowflake
- Take ownership of Snowflake, including:
- Access controls and RBAC.
- Warehouse optimisation.
- Cost governance.
- Query performance management.
- Data organisation.
- Support reliable data pipeline infrastructure for engineering and ops teams.
- Create templates, guidance, and standards to improve deployment quality.
- Work with colleagues to design scalable, maintainable solutions.
Claude Enterprise, AI Tooling & Secure Enablement
- Govern Claude Enterprise, including:
- Usage policies.
- Secure integrations.
- Controlled rollout strategies.
- Contribute to enterprise AI tooling adoption in engineering workflows.
- Evaluate AI’s potential impact on infrastructure ops, observability, and delivery quality.
- Advocate for secure AI usage (integrations, MCP workflows).
- Balance innovation, security, governance, and business context.
Leadership, Influence & Delivery
- Influence engineering discipline via mentorship, code reviews, and standards.
- Key expectations:
- Mentor developers on DevOps, cloud architecture, and infrastructure.
- Support data pipeline and application deployments.
- Conduct code and infrastructure reviews.
- Share best practices in cloud-native development.
- Contribute technical documentation.
- Communicate technical concepts (to both technical and non-technical stakeholders).
- Proactively improve tooling, process, and platform quality.
- Own improvements through delivery.
Required Experience & Profile
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The ideal candidate has:
- 5+ years of software engineering experience, with a strong focus on cloud infrastructure.
- Strong hands-on expertise in AWS, including:
- Networking & security.
- Cloud best practices.
- Experience with:
- Infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation).
- CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins).
- Containerisation & orchestration (Docker, Kubernetes, ECS).
- Monitoring & observability (CloudWatch, Datadog, Prometheus).
- Hands-on Snowflake experience, including:
- Warehouses.
- RBAC.
- Cost controls.
- Query performance.
- Strong bash scripting proficiency.
- Skill in:
- Supporting dev teams with infrastructure and deployments.
- Microservices and serverless patterns.
- Working with non-engineering teams.
- Mentoring mid-level engineers and providing technical guidance.
- Excellent communication (both technical and non-technical stakeholders).
- Pragmatic mindset balancing technical delivery with business needs.
Desirable Experience (Additional Plus Points)
- Python for infrastructure automation and tooling.
- Data pipeline/CWE/ETL workflows experience.
- Data governance & compliance infrastructure.
- Cloud cost/resource utilisation optimisation.
- Migration from monolithic to microservices.
- Experience with Claude Enterprise, Copilot, or enterprise AI tooling governance.
- Secure AI deployments, rollouts, and MCP-related workflows.
Compensation & Working Model
- Salary range: £80,000 – £100,000 plus benefits.
- Location: Hybrid model with London base (flexible working discussed with candidates).
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