
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
đź”’ Cybersecurity
đź’° Venture Round on 2020-07
Artificial Intelligence • Data Infrastructure • Cybersecurity
Aker Systems is a data infrastructure company that specializes in modernizing cloud data environments to empower enterprises with real-time data capabilities. Their mission is to enable secure, seamless, and enterprise-scale data flow in the public cloud, supporting organizations in becoming data-driven. Aker Systems is recognized for its contributions to innovation and has recently received accolades for its workplace culture and leadership in data management.
🔥 1 minute ago
Airflow
Ansible
AWS
Azure
Cloud
Docker
EC2
ElasticSearch
Grafana
Java
Kafka
Kubernetes
NoSQL
Packer
Prometheus
Python
Spark
SQL
Terraform
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51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
đź”’ Cybersecurity
đź’° Venture Round on 2020-07
Artificial Intelligence • Data Infrastructure • Cybersecurity
Aker Systems is a data infrastructure company that specializes in modernizing cloud data environments to empower enterprises with real-time data capabilities. Their mission is to enable secure, seamless, and enterprise-scale data flow in the public cloud, supporting organizations in becoming data-driven. Aker Systems is recognized for its contributions to innovation and has recently received accolades for its workplace culture and leadership in data management.
• Design, develop, test and deploy data platform services and components • Build and maintain platform capabilities supporting batch and real-time data workloads • Develop and operate distributed data services using Kafka, Kinesis, Spark, Flink or equivalent technologies • Build and maintain cloud-native data platform capabilities using AWS and/or Azure • Support data ingestion, processing, storage and integration across multiple systems • Develop and maintain data models, schemas and platform data structures • Support schema evolution, data quality and data integrity across distributed platforms • Integrate data platforms with relational and NoSQL databases • Develop automated testing and validation for platform services and data processing components • Implement and maintain CI/CD pipelines for data platform workloads • Use Infrastructure as Code to create repeatable and maintainable environments • Support Docker and Kubernetes-based platform environments • Monitor platform services and investigate failures, performance issues and operational problems • Participate in incident investigation and root cause analysis • Support platform performance, scalability, resilience and availability improvements • Contribute to platform security, governance and operational readiness • Work closely with Software Engineers, Data Engineers, DevOps Engineers, Architects and client stakeholders • Participate in technical design discussions, code reviews and engineering standards • Contribute to continuous improvement of platform engineering practices • Share knowledge and support less experienced engineers
• UK Government Security Check (SC) clearance is required • 5+ years of relevant professional experience across Data Engineering, Data Platform Engineering, Software Engineering, Platform Engineering or a similar technical discipline • Strong commercial experience as a Senior Data Platform Engineer, Senior Data Engineer, Platform Engineer, Software Engineer or similar • Strong hands-on experience building and operating cloud-native data platforms • Strong programming experience using Java and/or Python • Hands-on experience with real-time streaming and event-driven architectures, including Kafka, Kinesis or equivalent • Experience with distributed data processing technologies such as Spark, Flink, Kafka Streams or equivalent • Strong experience with AWS and/or Azure cloud environments • Experience with cloud services such as S3, Glue, Lambda, RDS, Athena, EC2 or Azure equivalents • Strong understanding of data platform architecture, data pipelines and distributed processing • Experience with relational and NoSQL databases • Strong SQL skills and understanding of data modelling and schema design • Experience with CI/CD and DevOps practices • Experience using Terraform or equivalent Infrastructure as Code technologies • Experience with Docker and/or Kubernetes • Experience using GitHub/GitLab and modern source control practices • Experience implementing monitoring, logging and observability for platform services • Experience supporting production systems and resolving technical and operational issues • Understanding of platform security, resilience, scalability and availability • Experience working within Agile and/or DevOps delivery environments • Helm, ArgoCD, Airflow, dbt, Bash, Ansible, Packer, Elasticsearch/OpenSearch, Prometheus, Grafana, ELK or Datadog are desirable • Experience working within public sector, utilities or other regulated environments is advantageous • Strong hands-on technical capability, ownership of complex platform engineering activities and ability to work independently within client delivery environments
• 25 days holiday plus bank holidays • Company paid medical insurance • Life assurance • Pension scheme • Annual training allowance • Wellbeing allowance • Virtual GP • Employee Assistance plan • Competitive salary
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