solutions, and is comfortable making key decisions. Powerful collaborator who works well across departments. Our stack AWS as our cloud compute platform Kubernetes (EKS) for container runtime and orchestration RDS (PostgreSQL, MySQL), Kafka, Redis Terraform for infrastructure as code Lambda and Step Functions Datadog for Observability Github actions for CICD Frontend is React Backend services are developed in NodeJS More ❯
senior DBA role. Strong expertise in SQL Server, Oracle, PostgreSQL, MySQL, or other enterprise databases. SQL is the main skill set we require. Experience in cloud database platforms (AWS RDS, Azure SQL, Google Cloud SQL). Hands-on experience with database performance tuning, security, and backup strategies. Knowledge of infrastructure technologies such as storage, networking, and containerized environments. Experience More ❯
of hands-on experience with major DBMS platforms including: MySQL, PostgreSQL, Oracle, MongoDB, Cassandra, and Snowflake Proven experience managing production databases across on-premise and cloud platforms, including AWS RDS, Azure Managed Databases Demonstrated success in leading and developing technical teams in fast-paced, matrixed environments. Strong verbal and written communication skills, including experience presenting to executive leadership. Proficiency More ❯
Driven Development with appropriate tools and frameworks Experience of cloud orchestration and containerisation technologies, such as Kubernetes and Docker Knowledge of large-scale databases and distributed technologies, such as RDS Knowledge of distributed event streaming technologies, such as Kafka Write/maintain automation script using Bash/Shell or python scripting languages Experience of mentoring and leading people around More ❯
outcomes A proactive, innovative mindset with the ability to drive continuous improvement Familiarity with some of our tech stack: PostgreSQL, or a similar RDBMS, particularly in AmazonRDS at scale Docker and Kubernetes, we use Amazon EKS in production Python Datadog, or a similar logging/monitoring tool Messaging queues, event-driven async processing or More ❯
outcomes A proactive, innovative mindset with the ability to drive continuous improvement Familiarity with some of our tech stack: PostgreSQL, or a similar RDBMS, particularly in AmazonRDS at scale Docker and Kubernetes, we use Amazon EKS in production Python Datadog, or a similar logging/monitoring tool Messaging queues, event-driven async processing or More ❯
the team, or driving challenging architecture changes and refactoring. Technical skills: Proficiency in C#, .NET Core, and object-oriented programming In-depth experience with AWS services (EC2, Lambda, S3, RDS, etc.) Solid front-end development experience with Angular and TypeScript Expertise in containerization (Docker) and orchestration (Kubernetes) Hands-on experience with CI/CD pipelines and automation tools Familiarity More ❯
a strong focus on AWS cloud services. Expertise in API design, microservices architecture, and cloud-native development. Hands-on experience with AWS services including EKS, Lambda, DynamoDB, S3, Redshift, RDS, Glue, Athena. Strong knowledge of serverless architectures, event-driven patterns, and containerization. Experience designing and implementing secure, scalable, and high-availability architectures. Solid understanding of networking, security, authentication, and More ❯
or in a similar role Experience in managing a team of Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and applications to stream and process datasets Robust More ❯
in database schema design, indexing strategies, and query optimization to ensure efficient data storage and retrieval. 2. Database Deployment and Management: • Deploy and configure PostgreSQL database instances on AWS RDS, considering factors such as instance sizing, storage, and security. • Implement and manage replication, clustering, and backup/recovery strategies to ensure high availability and disaster recovery. 3. Performance Monitoring More ❯
services Istio for service mesh GitLab for source control GitLab-CI for CICD pipeline Bash and Python for pipeline scripts Terraform and Ansible for infrastructure as code Postgres (including RDS and Aurora) for most databases SAML, OIDC and LDAP for single-sign on platform Linux is used as a base OS for all servers and containers DataDog for monitoring More ❯
practices in devops, aws, and java development. Skill Requirements: Proficient in devops methodologies and tools such as jenkins, docker, and kubernetes. Strong understanding of aws services like ec2, s3, rds, and lambda. Expertise in java programming and frameworks like spring and hibernate. Handson experience in designing and implementing scalable and secure cloud architectures. Ability to troubleshoot complex system issues More ❯
practices in devops, aws, and java development. Skill Requirements: Proficient in devops methodologies and tools such as jenkins, docker, and kubernetes. Strong understanding of aws services like ec2, s3, rds, and lambda. Expertise in java programming and frameworks like spring and hibernate. Handson experience in designing and implementing scalable and secure cloud architectures. Ability to troubleshoot complex system issues More ❯
improve platform performance and reliability Desired Skills & Experience: Experience leading SRE transformations Hands-on expertise with Kubernetes (EKS preferred) in production Strong experience with AWS core services (EC2, EKS, RDS, S3, ALB/NLB, IAM, CloudWatch, etc.) Proficiency in Infrastructure as Code using Terraform and knowledge of GitOps workflows Strong background in observability: metrics, visualization, logging, tracing Understanding of More ❯
Server, Oracle, or PostgreSQL. Strong experience with performance tuning, indexing, and query optimization. Experience designing large-scale, distributed data systems in hybrid or cloud environments (e.g., Azure SQL, AWS RDS). Strong knowledge of ETL frameworks and integration tools (SSIS, Informatica, Azure Data Factory). Understanding of CI/CD pipelines and automation in database deployments. Excellent problem-solving More ❯
engineer with strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) • Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway • Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components More ❯
integrating with third party services. Ability to read and review code, paired programming, and debugging code related performance issues, SQL tuning, etc. Experience with AWS services such as S3, RDS, Aurora, NoSQL, MSK (Kafka). Experience with batch processing/ETL using Glue Jobs, AWS Lambda, and Step functions. Experience with designing bespoke & tailored front-end solutions (GUI based More ❯
integrating with third party services. Ability to read and review code, paired programming, and debugging code related performance issues, SQL tuning, etc. Experience with AWS services such as S3, RDS, Aurora, NoSQL, MSK (Kafka). Experience with batch processing/ETL using Glue Jobs, AWS Lambda, and Step functions. Experience with designing bespoke & tailored front-end solutions (GUI based More ❯
Can talk to code i.e., read code/review code/paired programming/debugging code related performance issues, SQL tuning etc. Experience with AWS services such as S3, RDS, Aurora, NoSQL, MSK (Kafka) Experience with batch processing/ETL using Glue Jobs, AWS Lambda and Step functions. Experience with designing bespoke & tailored front-end solutions (GUI based) using More ❯
you advocate for robust testing practices like TDD and believe quality is everyone's responsibility. Work across data layers : you've built and maintained systems using databases like MongoDB, RDS, or Aurora. Embrace agile values : you iterate fast, deliver value early, and help your team do the same. Mentor and uplift others : you enjoy coaching junior engineers and encouraging More ❯
Scala, C# or Python Lead the design and implementation of Snowflake and Redshift based data warehousing solutions within an AWS environment Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Strong SQL More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Lorien
Scala, C# or Python Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Strong SQL More ❯
delivery of high-quality solutions. Hands-on Requirements: Extensive hands-on experience with GitHub and GitHub Actions. Proficiency in AWS Cloud services, including but not limited to EC2, S3, RDS, IAM, and CloudFormation. Strong expertise in Terraform/Terragrunt, with a willingness to transition to OpenTofu. Experience with container orchestration platforms such as EKS Fargate (consideration for EKS with More ❯
