an AWS Architect or similar role (5+ years in AWS-focused roles). Deep understanding of core AWS services including EC2, S3, VPC, RDS, IAM, Lambda, CloudFormation/Terraform, ECS/EKS, and API Gateway. Strong knowledge of network design, security best practices, and cloud-native application architecture. Proficient in scripting or programming (e.g., Python, Bash, or Node.js). More ❯
that plays an integral part of the revenue producing arm of a company, then our team is for you. Technologies include Scala, Python, Apache Flink, Spark, Databricks, and AWS (ECS, Lambda, DynamoDB, WAF, among others). Experience in these areas is preferred but not required. Qualifications: You collaborate with team members and project management to identify requirements, and provide More ❯
designing, building, and scaling data platforms or backend infrastructure in production environments. Strong Python skills , with a solid foundation in software engineering principles. Expertise with AWS services , including Lambda, ECS/EC2, S3 and RDS. Deep experience with Terraform and infrastructure-as-code practices. Familiarity with tools like Airflow or DBT , and data platforms such as Snowflake or Databricks More ❯
collaborative and supportive team, and we work together to deliver best in class solutions for our clients. Our Technology Stack AWS and Azure Python Docker, Kubernetes, AWS EKS/ECS AWS Lambdas and Azure Functions AWS State Machines OpenSearch, DocumentDB, PostgreSQL AWS Glue and Athena Gitlab What we can offer you We don't settle for people that can More ❯
ML outputs exposed via APIs Proficient in designing, building, and scaling RESTful APIs (GraphQL experience is a bonus). Strong knowledge of cloud infrastructure, especially the AWS stack (Lambda, ECS, S3, CloudWatch, etc.). Solid understanding of data performance trade-offs-e.g. query optimization, memory use, parallelism. Familiarity with modern CI/CD pipelines, containerisation (Docker), and IaC tools More ❯
data engineers and AI engineers to deliver and build adoption on your team's initiatives Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Business Intelligence - Looker Experience More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Halian Technology Limited
end tests to ensure software quality Collaborate on system design and architecture in a distributed AWS environment Implement CI/CD pipelines and deploy applications using AWS services (e.g., ECS, Lambda, DynamoDB, S3) Participate in code reviews, sprint planning, and retrospectives Monitor and troubleshoot production systems; respond to incidents when needed Required Skills & Experience: 3+ years of professional software More ❯
Excellent knowledge of GIT and GitHub including various branching strategies, tagging, rebasing and creating a concise commit history Good understanding and experience with AWS cloud technologies, especially IAM and ECS Demonstrated ability to build Continuous Integration and Continuous Deployment pipelines using Github Actions, AWS CodeBuild, Jenkins or other platforms Good knowledge of TCP/IP networking and in-depth More ❯
other teams to define and deliver the right solution for the right business problem statement. Our Tech Stack: Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Business Intelligence - Looker Skills More ❯
teams on Java-based apps and AWS operational support Triage infrastructure alerts and contribute to platform reliability Essential Skills: 3+ years of AWS experience (EC2, Lambda, CloudFront, S3, ACM, ECS, CloudWatch) Solid CI/CD knowledge - hands-on migration between Azure DevOps & GitHub Actions Strong Infrastructure-as-Code: Terraform/CDK/CloudFormation Familiarity with Java applications (e.g. adding More ❯
AWS and its data services (e.g. S3, Athena, AWS Glue). Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Knowledge of containerization and orchestration tools (e.g., Docker, ECS, Kubernetes). Familiarity of data orchestration tools (e.g. Prefect, Apache Airflow). Familiarity with CI/CD pipelines and DevOps practices. Familiarity with Infrastructure-as-code tools (e.g. Terraform More ❯
experience in designing, developing, and optimizing backend systems for data processing at scale within AWS. In-depth knowledge and hands-on experience with foundational AWS services, such as ALB, ECS, S3, ElastiCache, DynamoDB, IAM, CloudWatch. Proficiency in both relational and NoSQL databases, with an understanding of database design, optimization, and management. Strong skills in Infrastructure as Code (IaC) tools More ❯
on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Nice to Have Experience More ❯
Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our More ❯
public cloud platforms (AWS, Azure, or GCP) Hands-on experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, ARM templates) Proficiency with container technologies like Docker and orchestration (Kubernetes, ECS, AKS, etc.) Strong scripting skills in Python, Bash, or PowerShell Experience with monitoring and logging tools (CloudWatch, Datadog, Prometheus, ELK stack, etc.) Familiarity with CI/CD tools (GitLab More ❯
large scale machine learning, including building, deploying, scaling and securing ML infrastructure in cloud-native environments. • Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python • Proven ability to drive cross functional technical initiatives and deliver results through collaboration and alignment. Disclaimer This job More ❯
and technology evaluations. Essential Skills & Experience: - 10+ years in software development, 6+ in Java/AWS architecture. - Strong knowledge of microservices and RESTful API design. - Proficient with AWS (Lambda, ECS, EventBridge, DynamoDB, etc.) and GCP. - Experience with PostgreSQL, DynamoDB, and other relational/NoSQL databases. - Skilled in containerisation (Docker, Kubernetes). - Solid grasp of OOP, design patterns, and clean More ❯
Angular, Vue.js and frameworks such as e.g., Node.js or FastAPI. Experience with databases such as MongoDB and MySQL. Familiarity with API design and development, including serverless technologies, e.g. AWS ECS/API Gateway/Lambda. A passion for space technology and a genuine interest in the space sector (desirable, but not essential). A proactive, problem-solving attitude and More ❯
strategy, infrastructure optimisation, and seamless product architecture improvements. As part of this agile and forward-thinking team, you'll have the chance to potentially introduce Kubernetes into their serverless ECS environment. The company values innovation and is always looking to enhance its platform. While the lead engineer focuses on AI development, you'll take charge of security and DevOps. More ❯
Native is a plus Experience leading technical development and helping teams with challenges Experience in product development Building on AWS using serverless and container technologies like Lambda, API Gateway, ECS, or Docker Datasource experience with PostgreSQL and Redis Knowledge of EV charger solutions and standards such as OCPP Security-focused processes like DevSecOps Experience with Agile/Kanban methodologies More ❯
HBase, BigTable, or Cosmos DB. Exposure with Git workflows, and the ability to tailor the workflow to project needs. Exposure with containerised application deployment using Docker, AmazonECS, Kubernetes, etc. More ❯
Jenkins or Gitlab Preferred experience with alerting and monitoring tools such Appdynamics and Splunk Familiarity with: SDLC Build and Release processes, Building docker images, and container orchestration: Kubernetes and ECS Proficiency with one of the following cloud providers: AWS, Google, Microsoft Proficiency with: Terraform, Helm or Chef Networking basics (routing, firewalls, AWS security groups) Troubleshooting/analysis of applications More ❯
architecture, employing technologies such as Kafka, gRPC and Protobuf for event definitions Solver technology and algorithms to drive our workflow scheduling solver engine Deployment on AWS to IoT Greengrass, ECS, Lambda and EKS, with infrastructure managed via Terraform and pipelines via CircleCI Feature flags to enable us to experiment and control when we release new features to customers In More ❯
