51 to 75 of 96 Permanent AWS Step Functions Jobs

changes lives. Purpose of this role We’re looking for an experienced Data Engineer who’s comfortable working with real independence and knows the AWS data ecosystem well, to help us design, build and maintain robust data pipelines and platforms. You’ll work closely with analysts, engineers and stakeholders … end. Comfortable operating with limited steer, and acting as a senior technical voice in a small data team. Strong experience with the AWS data stack: S3, Lambda, RDS, DMS, EventBridge, SQS, Step Functions, CloudWatch Proficient in Python and SQL (Go would be advantageous) Experience with data orchestration ...

systems. You will work across the full stack with a strong emphasis on backend data processing, analytics, and machine learning workflows, all hosted on AWS cloud infrastructure. These seats sit close to the ranking and fusion logic itself, so the work is as much about understanding what the system … rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step Functions) Collaborate with domain experts to translate rail inspection requirements into ...

work collaboratively with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions using AWS Bedrock and related technologies. In This Role, You Will Design, implement, and support secure, scalable AWS infrastructure and AI platforms using Terraform, GitHub Actions … Ansible, ECS/Fargate, and AWS native services. Build and operationalise enterprise GenAI solutions using Amazon Bedrock, LLMs, RAG pipelines, vector databases, embeddings, chunking strategies, workflow orchestration (DAG/agentic), and AI observability. Develop and maintain CI/CD pipelines, Infrastructure as Code, API integrations, cloud security, IAM governance ...

development of cutting-edge diagnostic technologies and AI-assisted analysis, we are transforming railway safety worldwide. Our global engineering teams work collaboratively to develop step-change technologies that define Sperry as the unparalleled market leader. For nearly a century, we have repeatedly modernized and improved rail diagnostics through … rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step Functions) Collaborate with domain experts to translate rail inspection requirements into ...

Context Engineering, Solution Architects, Enterprise Architecture, Security, QA and Application Support. The Role As an AI Platform Engineer, you will help build the secure AWS-based platform that other Aflac teams use for AI products. You will take ideas from design into production and make sure the platform … platform other Aflac teams use for AI products Shape important engineering decisions while the capability is still being built Work hands on with modern AWS AI services in real delivery work Solve practical problems around reliability, quality and cost Create patterns other engineers can reuse Build something ...

best practices.· Proven experience with automated testing frameworks (e.g. Zypher, Pytest).· Experience with cloud technologies, cloud native application and infrastructure as code (e.g., AWS/Azure/CGP, Kubernetes, Helm, Terraform).· Knowledge of DevOps culture and practices.Experience and Skills (Nice to have)· Previous experience building a user … fundamentals· Experience with Neo4J, GraphQL for efficient data querying for APIs,· CI/CD tools (e.g. Github Actions, Gitlab CI) for automating deployments· Other AWS Managed Services (RDS, Batch, Lambda, Fargate, Step Functions, SQS/SNS, etc.)· FastAPI and NextJS experience (if we’re still using ...

afraid to invest to keep it cutting edge! As such we’ve recently completed major projects which included distributing our main rules engine using AWS services, migrated terabytes of data from SQL server to Aurora Postgres, replaced our Single Sign On service with Auth0 and converted our frontend … React. Our Tech Stack Back-end: C# Data storage: PostgreSQL; Amazon storage including Aurora, DynamoDB, S3 Infrastructure: Terraform and AWS, using Fargate, Lambdas, Step functions, and a lot more! Pipeline: GitHub Actions, TeamCity, Octopus Deploy, Serverless Front-end: React, TypeScript How We Work FundApps engineers have ...

beyond routine approaches to solve technical problems. Design, develop, and maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting. Develop fact and dimension data models for reporting and analytics. Write secure, high … PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based ...

beyond routine approaches to solve technical problems. Design, develop, and maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting. Develop fact and dimension data models for reporting and analytics. Write secure, high … PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based ...

quality assurance.Collaboration: Engage with business and technology teams to align the platform with organizational goals.Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions … Snowflake and data stack technologies like Apache Iceberg and Spark.Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.RDBMS: Knowledge of PostgreSQL ...

Luxoft is leading a strategic data engineering engagement to migrate an enterprise data processing estate from Matillion to AWS Glue for a world-class financial market infrastructure client. During Mobilisation, you will reverse-engineer the current landscape, design target-state architecture, and build a detailed delivery blueprint to enable ...

afraid to invest to keep it cutting edge! As such we’ve recently completed major projects which included distributing our main rules engine using AWS services, migrated terabytes of data from SQL server to Aurora Postgres, replaced our Single Sign On service with Auth0 and converted our frontend … React. Back-end: C# Infrastructure: Terraform and AWS, using Fargate, Lambdas, Step functions, and a lot more! Pipeline: GitHub Actions, TeamCity, Octopus Deploy, Serverless Front-end: React, TypeScript How We Work FundApps engineers have a lot of freedom to solve problems in a way that achieves ...

looking for a hands-on Senior Solution Architect (AWS) to join our team in London, United Kingdom, in a hybrid working mode. This role focuses on leading a diverse portfolio of initiatives, including on-prem to AWS migration, operational risk remediation, regulatory compliance, and platform modernization. … maintaining stability of critical platforms. Responsibilities Design and deliver scalable, resilient solutions across legacy and modern platforms Drive migration from on-prem environments to AWS cloud services Lead architecture for initiatives focused on risk mitigation, regulatory compliance, and resiliency Define target architectures and transition roadmaps, making sound trade-offs ...

afraid to invest to keep it cutting edge! As such we’ve recently completed major projects which included distributing our main rules engine using AWS services, migrated terabytes of data from SQL server to Aurora Postgres, replaced our Single Sign On service with Auth0 and converted our frontend … React.Our Tech StackBack-end: C#Data storage: PostgreSQL; Amazon storage including Aurora, DynamoDB, S3Infrastructure: Terraform and AWS, using Fargate, Lambdas, Step functions, and a lot more!Pipeline: GitHub Actions, TeamCity, Octopus Deploy, ServerlessFront-end: React, TypeScriptHow We WorkFundApps engineers have a lot of freedom to solve problems ...

streaming environments that deliver AVEVA's Unified Engineering products to customers as a Software as a Service (SaaS) platform on Amazon Web Services (AWS).You will work across serverless APIs, identity and access flows, Windows-centric infrastructure, and desktop streaming technologies. You will contribute to CI/… know everything from day one, but you will be expected to have the curiosity, drive, and resilience to grow quickly.Key responsibilities Build scalable AWS SaaS services: contribute to the design, development, and support of highly available platform components.Develop integrations and serverless capabilities: deliver and maintain APIs (API Gateway/ ...

create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML Ops Engineer … migrated models Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs Handle data migration/integration between Databricks and AWS: storage, permissions, IAM alignment Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate ...

create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML Ops Engineer … migrated models Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs Handle data migration/integration between Databricks and AWS: storage, permissions, IAM alignment Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate ...

create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML Ops Engineer … migrated models Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs Handle data migration/integration between Databricks and AWS: storage, permissions, IAM alignment Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate ...

create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML Ops Engineer … migrated models Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs Handle data migration/integration between Databricks and AWS: storage, permissions, IAM alignment Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate ...

Investment Technology supporting the ETFs business.What you will be doing:AI‐accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‐generated code.Design, build, and maintain data engineering workflows and platform services supporting … scale ETL workflows. Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution.Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).Design and operate CI/CD pipelines and deployment processes to ensure reliable ...

hands‐on, and mentor others while working at the forefront of innovation. Responsibilities Solution design and architecture Design cloud-native data processing architectures in AWS Define scalable big data solutions on a Hadoop based platform Evaluate appropriate technologies and patterns for data ingestion, transformation, and storage Produce architecture diagrams … across distributed systems Work with large datasets using Hadoop and related technologies Write data processing scripts using Python, Pig, and Java-based frameworks Use AWS services such as Step Functions, S3, Lambda and EMR Implement infrastructure automation via CDK or Terraform Performance optimisation Optimise distributed data processing ...

inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Strong AWS background, including serverless orchestration (Step Functions/Lambda), container deployment (ECS/EKS), and managed data services Proven track record designing and evolving ...

success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer … reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, 350/300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW ...

success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer … reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, 350/300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW ...

success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer … reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, 350/300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW ...