26 to 50 of 249 AWS Step Functions Jobs

data engineers and data scientists, who may not be familiar with the datasets, to accelerate development. Our technology stack consists of: Python and Pyspark AWS glue jobs assembled into Step functions Pydeequ for data quality testing Amazon Athena for querying data Hosted on AWS, using S3 … Glue, Step functions, EMR, and Athena Terraform for Infrastructure as Code Our code is open source and we use Git and GitHub for source control If you are interested in this role, please access the full job description for further information and we look forward to receiving your More ❯

We seek a skilled and proactive Senior Platform Engineer to design, build, and support scalable cloud infrastructure and automation pipelines on Amazon Web Services (AWS). You will work closely with DevOps, Security, Data, and AI Application teams to ensure platform reliability, security, and performance. Your role will be … driving infrastructure-as-code, CI/CD, observability, and cloud governance initiatives across the organization. Key Responsibilities: Design, implement, and manage cloud infrastructure on AWS using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation. Maintain and enhance CI/CD pipelines using tools like GitHub … Actions, AWS CodePipeline, Jenkins, or ArgoCD. Ensure platform reliability, scalability, and high availability across development, staging, and production environments. Automate operational tasks, environment provisioning, and deployments using scripting languages such as Python, Bash, or PowerShell. Enable and maintain Amazon SageMaker environments for scalable ML model training, hosting, and pipelines. More ❯

Senior Delivery Consultant- GenAI/ML, AWS Job ID: AWS EMEA SARL (Italy Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has … pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. At ProServe we help AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team … of data architects, data scientists, ML engineers working step-by-step with customers to build solutions that harness the power of generative AI. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications More ❯

run their expanding data engineering team in their London City office. The team has recently built out a next-gen data lake hosted in AWS which makes use of Dremio, Data Mesh architecture, and a wide range of AWS tools (S3, Glue, Step Functions, etc.). … data warehousing concepts) Strong SQL skills, especially in relation to ETL processes and data management (querying, cleaning, storing) Experience working with and deploying to AWS cloud (having worked with any/all of S3, Glue, Lambda, Step Functions, etc.) Usage of PowerBI for data visualization Experience of More ❯

Responsibilities: BI Operations & System Monitoring: Ensure day-to-day smooth running of BI data pipelines, reporting systems, and cloud-based ETL/ELT workflows (AWS, Redshift, Glue, Airflow).Monitor system uptime and performance, proactively addressing issues to maintain SLA compliance.Setup monitoring dashboards and look after systems availability and operations. … published by Dev/Test teams on Production environments. SLA & Performance Compliance: Maintain SLAs for uptime, latency, and data freshness, using monitoring tools like AWS CloudWatch. Track and optimise system performance, reducing recurring issues. Data Governance & Quality: Oversee data validation, ensuring compliance with governance frameworks (Ataccama or similar). … on incident resolution progress to key stakeholders and leadership. Essential Skills & Experience Experience: 5+ years of experience (minimum 3 years in Production Support for AWS BI/Data Engineering). Technical Experience: Hands-on experience with AWS BI stack (Redshift, Glue, Airflow, S3, Step Functions). More ❯

Social network you want to login/join with: Internally known as a AWS Data Engineer Lead About Us: Two Circles is a data-driven sports marketing agency. We work with some of the world’s biggest sports organisations – including the NFL, Premier League, Formula 1, Wimbledon and UEFA … team: As part of our ongoing growth, we are looking to innovate with our technology stack and are seeking a talented Lead Data Engineer (AWS) to join our growing team and help us deliver innovative data solutions for clients and build our data management and analytics platform. It is … and transformation into business usable analytics. Input into high level design and responsibility for low level design • Hands on development of data pipelines using Step functions, Glue, Python/Pyspark and DBT(Redshift). Thorough and high-quality automated Unit testing • Creation of accurate, insightful & informative technical documentation More ❯

pragmatic approach to how we apply new technologies. Our Tech Stack TypeScript (Full-stack) React + Next.js, Tailwind, Prisma, tRPC PostgreSQL, MongoDB, Redis Serverless, AWS, Google Cloud, Github Actions DBT, BigQuery Terraform Python Requirements Strong Python experience in building scalable backend systems. Familiarity with API design & distributed systems architecture. … Experience working with event-driven architectures (e.g. Kafka, Pub/Sub, AWS Step Functions, etc.). Comfortable optimising performance & scaling distributed AI workloads. Experience working with cloud platforms (AWS, GCP etc). Understanding of best practices in observability, monitoring, and debugging. Nice to Have Experience deploying More ❯

problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity As a Senior Cloud Architect, you will be … in technology events Qualifications Experience Requirement: Minimum of 4+ years of experience in architecting, deploying, and managing cloud-based AI/ML solutions. Core AWS Expertise: Expertise in architecting, developing, and troubleshooting large production-grade distributed systems on AWS, and selecting the appropriate tools to address business problems … at the correct scale. Advanced proficiency in AWS, with a focus on Generative AI and machine learning services. Certified AWS Solutions Architect Professional and/or AWS Machine Learning Specialty Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads. Generative AI More ❯

pragmatic approach to how we apply new technologies. Our Tech Stack TypeScript (Full-stack) React + Next.js, Tailwind, Prisma, tRPC PostgreSQL, MongoDB, Redis Serverless, AWS, Google Cloud, Github Actions DBT, BigQuery Terraform Python Minimum Requirements Strong Python experience in building scalable backend systems. Familiarity with API design & distributed systems … architecture . Experience working with event-driven architectures (e.g. Kafka, Pub/Sub, AWS Step Functions, etc.). Comfortable optimising performance & scaling distributed AI workloads . Experience working with cloud platforms (AWS, GCP etc) . Understanding of best practices in observability, monitoring, and debugging . Nice More ❯

pragmatic approach to how we apply new technologies. Our Tech Stack TypeScript (Full-stack) React + Next.js, Tailwind, Prisma, tRPC PostgreSQL, MongoDB, Redis Serverless, AWS, Google Cloud, Github Actions DBT, BigQuery Terraform Python Minimum Requirements Strong Python experience in building scalable backend systems. Familiarity with API design & distributed systems … architecture . Experience working with event-driven architectures (e.g. Kafka, Pub/Sub, AWS Step Functions, etc.). Comfortable optimising performance & scaling distributed AI workloads . Experience working with cloud platforms (AWS, GCP etc) . Understanding of best practices in observability, monitoring, and debugging . Nice More ❯

on Python concepts and expanding applied experience Hands-on practical experience in system design, application development, testing, and operational stability Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data … De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such as: IAM, Service roles, Encryption, KMS, Secrets Manager Practical exposure with Infrastructure as Code (IaC) solutions such as Terraform and CloudFormation Experience in developing, debugging, and maintaining code in a large corporate environment … Preferred qualifications, capabilities, and skills Familiarity with No SQL Databases such as MongoDB Experience in various messaging technologies such as Kafka Cloud Certifications including AWS Developer Associate, AWS Solutions Architect Associate Experience with PySpark Good understanding of event based architecture AI/ML field knowledge and trends Experience More ❯

on Python concepts and expanding applied experience Hands-on practical experience in system design, application development, testing, and operational stability Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data … De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such as: IAM, Service roles, Encryption, KMS, Secrets Manager Practical exposure with Infrastructure as Code (IaC) solutions such as Terraform and CloudFormation Experience in developing, debugging, and maintaining code in a large corporate environment … Preferred qualifications, capabilities, and skills Familiarity with No SQL Databases such as MongoDB Experience in various messaging technologies such as Kafka Cloud Certifications including AWS Developer Associate, AWS Solutions Architect Associate Experience with PySpark Good understanding of event based architecture AI/ML field knowledge and trends Experience More ❯

/CD, observability, versioning, and testing in data workflows Architect and evolve our data platform, including data warehousing (Redshift), lakehouse (Databricks), and orchestration (Airflow, Step Functions) capabilities Lead efforts around data governance/cataloging, compliance, and security, ensuring data is trustworthy and well-managed Requirements Essential skills & experience … role, with responsibility for people management and project delivery Strong hands-on experience in Python and SQL (bonus: Spark and DBT) Good familiarity with AWS services (e.g. Lambda, S3, Redshift, Glue - Databricks is a plus) Track record of designing and implementing scalable data platforms and ETL/ELT pipelines … Knowledge of data warehousing and data lake architectures, and modern orchestration tools (e.g. Step Functions, Airflow) Experience with infrastructure as code (e.g. Terraform) Understanding of data governance and data quality practices Ability to communicate technical concepts clearly and influence senior stakeholders Desirable: Experience building data pipelines and lakehouse More ❯

CI/CD, observability, version control, and testing Architect and evolve our data platform, including data warehousing (Redshift), lakehouse (Databricks), and orchestration tools (Airflow, Step Functions) Lead data governance, cataloging, compliance, and security efforts to ensure trustworthy and well-managed data Essential skills & experience: Proven leadership or management … role, with responsibility for people and projects Hands-on expertise in Python and SQL; experience with Spark and DBT is a plus Familiarity with AWS services such as Lambda, S3, Redshift, and Glue; Databricks experience is advantageous Experience designing and implementing scalable data platforms and ETL/ELT pipelines … Knowledge of data warehousing, data lake architectures, and orchestration tools like Step Functions and Airflow Experience with infrastructure as code (e.g., Terraform) Understanding of data governance and quality practices Strong communication skills to explain technical concepts and influence stakeholders Desirable: Experience building data pipelines and lakehouse solutions using More ❯

will possess extensive experience in secure, scalable cloud infrastructure, with proven leadership capabilities. In this role, they will manage large-scale public cloud platforms (AWS, Azure, GCP). The Cloud Infrastructure - Technology Engineering - Principal role will afford you the opportunity to work as an individual contributor, while partnering with … Cloud Certifications Experience working in mission-critical environments Technical Skills Skilled in engineering resilient, highly available cloud solutions in secure multi-cloud environments e.g. AWS, Azure, GCP Deep knowledge of cloud infrastructure, network architecture, security, and identity management. Experience in building cloud environments (accounts and VPCs) and software-defined … to advise technical and non-technical stakeholders on Cloud Strategy and solutions Strong problem solving, critical thinking, and analytical skills Tools Public Cloud Services: AWS, Azure and GCP Services Infrastructure as Code (IaC): Terraform, CloudFormation, JSON, YAML, and ARM Templates Programing/Scripting: Shell Script, Python, PHP, JavaScript, Perl More ❯

programming languages (e.g., Java, Python) and related popular libraries Experience in building containerized applications and deploying to cloud infrastructure such as Amazon Web Services (AWS), Microsoft Azure, or similar providers. Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies … financial instruments (securities, derivatives) and capital markets Computer Science, Math, or Financial Engineering degree Strong knowledge of data orchestration technologies – e.g., Apache Airflow, Dagster, AWS Step Functions Understanding of ETL/ELT workflows, data modeling, and performance optimization for both batch and real-time processing. Role Responsibilities More ❯

foundation that powers the entire technology stack, from AI agents to APIs to workflows to integrations Set up and manage the cloud infrastructure using AWS, Docker containerisation, and Infrastructure-as-Code with Terraform Build robust data integration infrastructure to connect the platform with various customer systems (TMS, RMS, etc. … that enables our AI-driven workflows Skills and Qualifications Experience building end-to-end platform solutions that integrate workflow orchestration systems (like Airflow, Temporal, AWS Step Functions) with real-world business processes and data pipelines Strong background in integration engineering and data modelling Exceptional Python skills for … building APIs, services, and data processing pipelines Experience with cloud infrastructure (AWS) and infrastructure-as-code (Terraform) including implementing monitoring and observability Knowledge of AI engineering workflows - particularly understanding how to build reliable systems around LLMs Problem-solving mindset and ability to navigate the challenges of creating a reliable More ❯

Software Dev Engineer Location: NYC, NY - Hybrid 3 days Duration: 6 months, with possible extension Top 3 Must Have Skills: Generative AI based coding AWS serverless Python and JavaScript/React Job description: Design, develop, implement, test, document and deploy full-stack, cloud-native, contact center-related software applications … or related. Required technical skills: Coding proficiency in Python, and front-end development experience with Javascript/React. Proficiency development with services such as AWS Lambda, Step Functions, DynamoDB, AppSync, Bedrock, SageMaker, and CloudWatch. Proficiency in developing and integrating with REST-based or GraphQL-based APIs. Proficiency … in developing infrastructure-as-code deployment solutions such as AWS CloudFormation or AWS CDK . Experience collaborating with other developers using git repositories, including creating and managing feature branches, pull requests, code merge, and GitHib actions or equivalent. Preferred skills: Experience with Contact Center development and telephony infrastructure. More ❯

Join to apply for the Lead Software Engineer - AWS role at JPMorganChase 2 days ago Be among the first 25 applicants Join to apply for the Lead Software Engineer - AWS role at JPMorganChase Job Description This is your chance to change the path of your career and guide … in all aspects of the Software Development Life Cycle, agile methodologies such as CI/CD, Application Resiliency, and Security Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data … De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such as: IAM, Service roles, Encryption, KMS, Secrets Manager Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience in Computer Science, Engineering More ❯

foundation that powers the entire technology stack, from AI agents to APIs to workflows to integrations Set up and manage the cloud infrastructure using AWS, Docker containerisation, and Infrastructure-as-Code with Terraform Build robust data integration infrastructure to connect the platform with various customer systems (TMS, RMS, etc. … that enables our AI-driven workflows Skills and Qualifications Experience building end-to-end platform solutions that integrate workflow orchestration systems (like Airflow, Temporal, AWS Step Functions) with real-world business processes and data pipelines Strong background in integration engineering and data modelling Exceptional Python skills for … building APIs, services, and data processing pipelines Experience with cloud infrastructure (AWS) and infrastructure-as-code (Terraform) including implementing monitoring and observability Knowledge of AI engineering workflows - particularly understanding how to build reliable systems around LLMs Problem-solving mindset and ability to navigate the challenges of creating a reliable More ❯

foundation that powers the entire technology stack, from AI agents to APIs to workflows to integrations Set up and manage the cloud infrastructure using AWS, Docker containerisation, and Infrastructure-as-Code with Terraform Build robust data integration infrastructure to connect the platform with various customer systems (TMS, RMS, etc. … that enables our AI-driven workflows Skills and Qualifications Experience building end-to-end platform solutions that integrate workflow orchestration systems (like Airflow, Temporal, AWS Step Functions) with real-world business processes and data pipelines Strong background in integration engineering and data modelling Exceptional Python skills for … building APIs, services, and data processing pipelines Experience with cloud infrastructure (AWS) and infrastructure-as-code (Terraform) including implementing monitoring and observability Knowledge of AI engineering workflows - particularly understanding how to build reliable systems around LLMs Problem-solving mindset and ability to navigate the challenges of creating a reliable More ❯

foundation that powers the entire technology stack, from AI agents to APIs to workflows to integrations Set up and manage the cloud infrastructure using AWS, Docker containerisation, and Infrastructure-as-Code with Terraform Build robust data integration infrastructure to connect the platform with various customer systems (TMS, RMS, etc. … that enables our AI-driven workflows Skills and Qualifications Experience building end-to-end platform solutions that integrate workflow orchestration systems (like Airflow, Temporal, AWS Step Functions) with real-world business processes and data pipelines Strong background in integration engineering and data modelling Exceptional Python skills for … building APIs, services, and data processing pipelines Experience with cloud infrastructure (AWS) and infrastructure-as-code (Terraform) including implementing monitoring and observability Knowledge of AI engineering workflows - particularly understanding how to build reliable systems around LLMs Problem-solving mindset and ability to navigate the challenges of creating a reliable More ❯

Technology. Responsibilities Architecture & Solution Design: Oversee the technical architecture of our solutions, ensuring they meet performance, scalability, and security requirements. Design and develop scalable AWS architectures for API-based and data-centric applications. Define data pipelines, ETL processes, and storage solutions using AWS services such as S3, OpenSearch … Redshift, Step Functions, Lambda, Glue, and Athena. Architect RESTful APIs, ensuring security, performance, and scalability. Optimise microservices architecture and API management strategies, leveraging tools such as KONG Gateway, Lambda, and EKS. Collaborate with DevOps teams to implement CI/CD pipelines, Infrastructure as Code (IaC), and automation using … AWS CloudFormation. Maintain cloud governance, security, and compliance best practices in AWS environments. Strategic & Business Impact Work closely with the Director of Product and Technology and customers to define solutions that align with their business needs. Drive forward new strategic projects central to the success of the organisation. More ❯

Technology. Responsibilities Architecture & Solution Design: Oversee the technical architecture of our solutions, ensuring they meet performance, scalability, and security requirements. Design and develop scalable AWS architectures for API-based and data-centric applications. Define data pipelines, ETL processes, and storage solutions using AWS services such as S3, OpenSearch … Redshift, Step Functions, Lambda, Glue, and Athena. Architect RESTful APIs, ensuring security, performance, and scalability. Optimise microservices architecture and API management strategies, leveraging tools such as KONG Gateway, Lambda, and EKS. Collaborate with DevOps teams to implement CI/CD pipelines, Infrastructure as Code (IaC), and automation using … AWS CloudFormation. Maintain cloud governance, security, and compliance best practices in AWS environments. Strategic & Business Impact: Work closely with the Director of Product and Technology and customers to define solutions that align with their business needs. Drive forward new strategic projects central to the success of the organisation. More ❯

that will bring truly measurable value to the rest of the company. You’ll be experienced in TypeScript development with hands-on experience in AWS SDK and AWS CDK, along with an aptitude for coaching and supporting other members of the team in a cross-functional environment. Your … experience either as a line manager or technical lead Demonstrable experience of implementing team best practices, processes and tools for effective software delivery TypeScript AWS SDK/AWS CDK to develop stable, serverless-first shared code and platforms Experience with a range of AWS services for a … serverless-first, microservices-orientated architecture such as: Compute: Lambda, ECS, Fargate Storage: S3, DynamoDB, RDS API Management: API Gateway, AppSync Orchestration: Step Functions, EventBridge Security: IAM, Cognito Networking: VPC, CloudFront, Route 53 Git/GitLab Desirable Skills and Experience: Familiarity with Service Management principles Experience with either Vue More ❯