Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Platform Engineer

Hemel Hempstead
4 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Hadoop Engineer ODP Platform

Data Platform Lead (Snowflakes)

Data Engineer - Gen AI - £140,000

Data Engineer - Gen AI - Remote

Data Engineer - AI - Remote

Job Title: Platform Engineer

Location: Hybrid / Remote

Salary: £80,000 per annum

Job Type: Full Time, Permanent

Eckoh is a market leader of Customer Engagement Security Solutions, supporting an international client base from our offices in the U.S. and the U.K. Eckoh is owned by Bridgepoint one of the world's leading private asset growth investors, with over $75 billion of assets under management.

Our mission is to set the standard for secure interactions between consumers and the world's leading brands. Our innovative products build trust and deliver value through exceptional experiences.

Our large portfolio of clients, which includes many of the Fortune 250, come from a broad range of vertical markets including healthcare, retail, hospitality, financial services, and utilities.

What do we do?

Eckoh's Customer Engagement Security Solutions help our clients to take payments and transact securely with their customers through all engagement channels. The solutions, which are delivered globally through our cloud platforms and protected by multiple patents, remove customer's sensitive personal and payment data from client's contact centres and IT environments. They provide merchants a simple and effective way to reduce the risk of fraud and data breaches, become compliant with security regulations, as well as enhancing their brand and increasing customer satisfaction.

The Role:

This is an exciting opportunity to join Eckoh's Cloud Native Platform team in a senior engineering capacity. You will play a key role in designing, building, and operating a secure, highly available, PCI-compliant AWS platform that underpins Eckoh's mission-critical services.

As a senior member of the team, you will drive improvements in platform reliability, observability, and operational excellence. You will collaborate closely with development teams to enable secure, automated delivery of services while championing DevSecOps principles.

This role offers the chance to shape the future of Eckoh's cloud environments, mentor other engineers, and have a real impact on system performance, scalability, and security.

Key Functional Responsibilities:

Design, build, and optimise a secure PCI-compliant cloud platform on AWS to support enterprise-grade applications and services.
Architect and operate production workloads with a focus on high availability, scalability, and resilience.
Drive observability and monitoring improvements across infrastructure and services to proactively identify issues.
Promote and embed a security-first, DevSecOps culture, ensuring best practices are followed at every stage of the software lifecycle.
Define, measure, and maintain key metrics (availability, MTTR, cost efficiency, performance) to meet and exceed platform KPIs.
Mentor and guide engineers, sharing knowledge on cloud-native technologies, security practices, and operational excellence.
Contribute to the evolution of CI/CD pipelines, IaC, and automation tooling to improve delivery speed and reliability.About you:

Required skills and qualifications:

2+ years in a Site Reliability Engineering, DevOps, or Software Engineering role focused on platform development.
3+ years of development experience with a high-level programming language (e.g., Python, Go, JavaScript).
Proven expertise in AWS architecture and operations, including services such as EC2, ECS/EKS, RDS, S3, IAM, and networking.
Strong knowledge of CI/CD pipelines and automation tooling (Gitlab experience preferable).
Experience with "infrastructure as code" (Terraform, CloudFormation), containerisation (Docker), and orchestration (Kubernetes).
Proficiency with observability and monitoring solutions (e.g., CloudWatch, Prometheus, Grafana, Splunk).
Strong understanding of cloud-native development practices and agile ways of working.
Confident conducting peer code reviews and providing constructive technical feedback.Desirables:

Experience designing solutions in multi-cloud or hybrid-cloud environments.
Advanced knowledge of Kubernetes networking and service mesh technologies (e.g., Istio, Calico).
Exposure to Kafka and its ecosystem (Kafka Connect, ksqlDB).
Expertise in debugging complex distributed systems.
Familiarity with relational databases (MySQL, PostgreSQL, Oracle).Benefits:

25 days holiday and increases with service
Excellent Share Incentive Scheme
Life insurance
Simply Health scheme
Access to group Bupa membership scheme.
Pension scheme
Discretionary annual bonus
Employee Recognition schemes
Free tea, coffee, fresh fruit and snacks
Relaxation floor (lunch area, quiet room, pool table, Xbox)
Well-being initiatives, such as in-house Reflexology and Sports Massage
Discounted offers
Team days and Volunteering events
Christmas & summer company events
Focused on education and training (conference attendance, higher education sponsorship)Please click the APPLY button to send your CV & Cover Letter for this role.

Candidates with experience or relevant job titles of; Software Developer, Software Engineer, Java Engineer, Infrastructure Engineer, IT Developer, Programmer, Technical Developer, Cloud Infrastructure Engineer, DevOps Engineer, DevOps, Software Development may also be considered for this role

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Engineering Jobs: The Best Months to Apply & Why

The UK's data engineering sector has evolved into one of Europe's most dynamic and rewarding technology markets, with roles spanning from ETL developers to platform architects and machine learning engineers. With data engineering positions commanding salaries from £32,000 for junior data engineers to £130,000+ for senior principal engineers, understanding when organisations actively recruit can significantly accelerate your career progression in this rapidly expanding field. Unlike traditional software development roles, data engineering hiring follows distinct patterns influenced by business intelligence cycles, data modernisation initiatives, and analytics platform deployments. The sector's unique combination of technical complexity, business impact requirements, and emerging technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in building tomorrow's data infrastructure. This comprehensive guide explores the optimal timing for data engineering job applications in the UK, examining how enterprise data strategies, regulatory reporting cycles, and technology modernisation programmes influence recruitment patterns, and why strategic timing can determine whether you join a scaling data consultancy or miss the opportunity to architect the next generation of data platforms.

Pre-Employment Checks for Data Engineering Jobs: DBS, References & Right-to-Work and more Explained

The data engineering sector in the UK has become the foundation of modern data-driven organisations, with professionals designing and maintaining the critical infrastructure that enables artificial intelligence, machine learning, and business intelligence capabilities. As companies increasingly recognise data as their most valuable asset, employers are implementing comprehensive pre-employment screening processes to ensure they recruit professionals capable of managing complex data pipelines whilst maintaining the highest standards of data governance, security, and regulatory compliance. Whether you're a data platform engineer, ETL developer, data warehouse architect, or big data specialist, understanding the extensive vetting requirements is essential for successfully advancing your career in this data-critical field. This comprehensive guide explores the various background checks and screening processes you'll encounter when applying for data engineering positions in the UK, from fundamental eligibility verification to specialised data protection compliance and technical competency assessments.

Why Now Is the Perfect Time to Launch Your Career in Data Engineering: The UK's Data Infrastructure Revolution

The United Kingdom is experiencing a data revolution that's fundamentally transforming how businesses operate, innovate, and compete in the global economy. From the AI initiatives driving London's fintech sector to the smart city projects reshaping Manchester and Birmingham, Britain's insatiable appetite for data-driven insights has created an unprecedented demand for skilled data engineers that far exceeds the available talent pool. If you've been considering a career transition or seeking to position yourself at the forefront of the digital economy, data engineering represents one of the most lucrative, future-proof, and intellectually rewarding career paths available today. The convergence of big data explosion, AI adoption, cloud transformation, and regulatory compliance has created perfect conditions for data engineering career success.