76 to 98 of 98 Remote AWS Step Functions Jobs

Senior ML Engineer - Python/Serverless ML Pipelines (AWS Lambda) - Fully Remote (Northern Ireland-based candidates encouraged) Salary: £100k+ market-leading benefits package About the Company: Our client is a rapidly scaling, VC-backed technology company focused on cloud cost optimization and FinOps solutions for enterprises and MSPs operating … intelligent automation features and ML-enhanced services in a high-scale cloud environment. The role requires deep expertise in Python, applied machine learning, and AWS-native ML workflows. You'll work closely with data engineers, backend developers, and product leaders to embed ML across core features - from forecasting and … anomaly detection to optimization and automated decision-making. Key Responsibilities: * Design and build serverless ML pipelines using AWS tools (Lambda, SageMaker, Step Functions) * Develop, deploy, and monitor models in production (e.g., cost forecasting, anomaly detection, usage classification) * Collaborate on data ingestion and transformation with Snowflake, DBT, Airflow More ❯

Senior ML Engineer - Python/Serverless ML Pipelines (AWS Lambda) - Fully Remote (Northern Ireland-based candidates encouraged) Salary: £100k+ market-leading benefits package About the Company: Our client is a rapidly scaling, VC-backed technology company focused on cloud cost optimization and FinOps solutions for enterprises and MSPs operating … intelligent automation features and ML-enhanced services in a high-scale cloud environment. The role requires deep expertise in Python, applied machine learning, and AWS-native ML workflows. You'll work closely with data engineers, backend developers, and product leaders to embed ML across core features - from forecasting and … anomaly detection to optimization and automated decision-making. Key Responsibilities: * Design and build serverless ML pipelines using AWS tools (Lambda, SageMaker, Step Functions) * Develop, deploy, and monitor models in production (e.g., cost forecasting, anomaly detection, usage classification) * Collaborate on data ingestion and transformation with Snowflake, DBT, Airflow More ❯

Senior ML Engineer - Python/Serverless ML Pipelines (AWS Lambda) - Fully Remote (Northern Ireland-based candidates encouraged) Salary: £100k+ market-leading benefits package About the Company: Our client is a rapidly scaling, VC-backed technology company focused on cloud cost optimization and FinOps solutions for enterprises and MSPs operating … intelligent automation features and ML-enhanced services in a high-scale cloud environment. The role requires deep expertise in Python, applied machine learning, and AWS-native ML workflows. You'll work closely with data engineers, backend developers, and product leaders to embed ML across core features - from forecasting and … anomaly detection to optimization and automated decision-making. Key Responsibilities: * Design and build serverless ML pipelines using AWS tools (Lambda, SageMaker, Step Functions) * Develop, deploy, and monitor models in production (e.g., cost forecasting, anomaly detection, usage classification) * Collaborate on data ingestion and transformation with Snowflake, DBT, Airflow More ❯

What You'll Be Doing: Build and optimise ETL/ELT pipelines across structured and unstructured data sources using Airbyte , Airflow , DBT Core , and AWS Glue Design and maintain dimensional models in Snowflake , including SCDs and best practices for indexing, clustering, and performance Collaborate cross-functionally with analysts and … best practices in data governance , including data quality checks, lineage tracking, and anomaly detection Automate data orchestration using tools such as Airflow , Lambda , or Step Functions Support financial and operational reporting through snapshot tables and audit-friendly data structures What We're Looking For: Strong understanding of Enterprise … tuning Deep knowledge of Snowflake including optimisation, cost management, and architecture Experience with modern data stacks – especially DBT Core , Airbyte , and Airflow Familiarity with AWS data services (e.g., S3, Lambda, Step Functions) Proven ability to support scalable reporting frameworks and drive data reliability Bonus Points For: Experience More ❯

Driven Architecture: Develop and maintain real-time, event-driven systems (SNS/SQS, Kafka, Redis Streams). Workflow Orchestration: Implement long-running workflow solutions (Step Functions, Temporal, Airflow). Real-Time Communication: Optimise WebSockets and SSE for chatbot responsiveness. Document Storage & Retrieval: Work with OpenSearch, S3, and AI … for AI/data research teams (Langfuse, experiment tracking, dataset management). Requirements Python Expertise: Strong experience with FastAPI, Pydantic. Cloud & Infra: Proficiency with AWS (Lambda, S3, ECS, EventBridge, RDS, OpenSearch) and Terraform. Event-Driven Systems: Hands-on experience with event-driven architectures (SNS/SQS, Kafka, Redis Streams … . Workflow Orchestration: Knowledge of long-running workflows (Step Functions, Temporal, Airflow). Real-Time Systems: Understanding of WebSockets, SSE, and related protocols. Data Engineering: Experience designing ETL pipelines and handling structured/unstructured data. Security & Reliability: Strong grasp of cloud security, IAM, and infrastructure resilience. Problem-Solving More ❯

Extreme Programming and practice TDD, trunk-based development, pair and mob programming. Technologies we use Here are some of the main technologies we use: AWS services: ECS Fargate, Lambda, Step Functions, CDK, AWS CodePipeline, S3 Databases: DynamoDB, MongoDB Programming languages: Java 21, Typescript, JavaScript, Kotlin, Swift More ❯

Software Engineer - Working with Python, PHP, AWS and Node.js & TypeScript My client builds cutting-edge Data Analytics systems and has a platform that is revolutionizing the electric vehicle fleet management industry on a global scale. This company is looking for a Back End Software Engineer with experience in either … Node/TypeScript, Python, or PHP and who is interested in building systems in PHP and Python AWS using Lambda and Serverless Architecture. This is a Hybrid working role on the outskirts of Hove, Brighton area and paying up to £75k (depending on experience). Please note - this is … and utilization, as well as tracking, geolocation, and administration functions. The Role We are looking for a cross-discipline Software Engineer to work on AWS Serverless backend using TypeScript and also some API development in PHP and Python. This is an opportunity to architect and develop leading edge services More ❯

Job Title: Senior Engineer/AWS Software Developer Duration: 6 months Location: London, UK (2 Days per week in office - Hybrid working) Responsibilities: Develop excellent quality software Participate in the full software lifecycle, including support and continuous integration Contribute to the technical direction of the team Provide guidance and … Quickly build prototypes and work with top brains in ML across the industry Required: You have at least 2 years of experience as an AWS software developer this is a must. AWS certification is a bonus Expertise in working and following the best practices of using AWS … up JavaScript/Typescript. It will be nice if you have experience working with Python, React, Lambda, DynamoDB, S3, AppSync/GraphQL, API Gateway, Step Functions etc Responsibility forreviewing and testing your own and teammates code Restless attitude and a drive to always make things better and quicker More ❯

position may be eligible for a $25K sign on bonus for external hires! What We're Doing: Lockheed Martin, Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security … a microservices-based architecture and cutting-edge technologies. The Microservices Developer will be responsible for: • Writing java spring boot based micro service applications utilizing AWS native technologies • Utilize Python to optimize AWS services such as Lambdas, Step Functions, EC2 and S3 • Building REST services with Spring … a related Masters degree. - An active Top Secret clearance with polygraph. Desired Skills: - Java, Spring boot or python - Microservice architectures - CI/CD Tools: AWS tools, Maven Gitlab & GitOps; Kubernetes, docker, Ansible - Database : NoSQL/MongoDB/DynamoDB Query and Schema Design - OAuth/OIDC Implementation experience - Test frameworks More ❯

tools such as ODI. Proficient with reporting tools such as Power BI and OAS. Understanding of data replication tools such as Oracle GoldenGate and AWS DMS. Knowledge of AWS Services such as SageMaker, Lambda, Step Functions, S3 etc would be an advantage. Hands on and technical More ❯

and Python Experience of using Terraform to provision and deploy cloud services and components Experience of developing on Apache Spark Experience of developing with AWS cloud services including (but not limited to) AWS Glue, S3, Step Functions, Lambdas, EventBridge and SQS BDD/TDD experience Jenkins More ❯

to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects More ❯

to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects More ❯

to be client facing! Requirements 5+ years experience with Backend Engineering Strong working knowledge with Python/Pandas/NumPy/ETL pipelines Strong AWS experience (ideally Lambda & Step Functions) Strong ETL Experience Beneficial : Experience or interest in the financial markets Experience in client facing role Previous More ❯

to be client facing! Requirements: 5+ years experience with Data Engineering Strong working knowledge with Python/Pandas/NumPy/ETL pipelines Strong AWS experience (ideally Lambda & Step Functions) Beneficial: Experience or interest in the financial markets Experience in client facing role Previous start-up experience More ❯

move. React Native Full Stack Engineer Responsibilities: - Design, develop, and maintain cross-platform mobile applications using React Native - Build serverless, scalable backend systems using AWS services such as Lambda, API Gateway, DynamoDB, and Step Functions - Write clean, efficient, and testable TypeScript code - Implement CI/CD pipelines … Stack Engineer Requirements: - Commercial experience in full stack software development - Advanced proficiency with React Native and TypeScript (Candidates with strong React Native and limited AWS experience will still be considered) - Hands-on experience with AWS Native services and serverless architecture (Candidates with no React Native but strong Engineers … with extensive AWS experience will still be considered) - Strong grasp of mobile app architecture, performance optimisation, and design patterns - Familiarity with REST APIs, React-Redux, Jest, and CI/CD pipelines - Understanding of Agile methodologies and version control (Git) - Excellent communication and teamwork skills - Experience working across disciplines to More ❯

Java). Clinical data is stored in Postgres (Aurora) databases with large, hierarchical genomic data indexed in OpenSearch. Asynchronous data ingestion is performed using Step Functions and Lambda, and the whole platform runs in AWS. We have a standard tool chain which includes Terraform for infrastructure-as-code … schema-design and evolution DevOps experience (CI/CD, Infrastructure as Code, operational monitoring and alerting) Experience in at least one major public cloud (AWS preferred but not essential) Strong interpersonal skills with a temperament that builds trust and connection within and across squads through open, honest communication Comfortable More ❯

reliability, and automation of our ML infrastructure and workflows Developing systems for both real-time (low-latency) and batch inference use cases Working with AWS and other cloud services (e.g. Fargate, ECS, Lambda, S3, SageMaker, Step Functions) to deploy and monitor models in production Implementing and maintaining …/streaming contexts Proficiency working with distributed computing frameworks such as Apache Spark , Dask, or similar Experience with cloud-native ML deployment , particularly on AWS , using services like ECS, EKS, Fargate, Lambda, S3, and more Familiarity with orchestration and workflow scheduling tools such as Dagster , Airflow , or Prefect Knowledge More ❯

reliability, and automation of our ML infrastructure and workflows Developing systems for both real-time (low-latency) and batch inference use cases Working with AWS and other cloud services (e.g. Fargate, ECS, Lambda, S3, SageMaker, Step Functions) to deploy and monitor models in production Implementing and maintaining …/streaming contexts Proficiency working with distributed computing frameworks such as Apache Spark , Dask, or similar Experience with cloud-native ML deployment , particularly on AWS , using services like ECS, EKS, Fargate, Lambda, S3, and more Familiarity with orchestration and workflow scheduling tools such as Dagster , Airflow , or Prefect Knowledge More ❯

and impactful for our customers." Technical Expertise You will have 5+ years of experience in Data Engineering, with a focus on cloud platforms (Azure, AWS, GCP). You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog). You have extensive experience in ETL …/ELT development and data pipeline orchestration (Databricks Workflows, DLT, Airflow, ADF, Glue, Step Functions). You're proficient in SQL and Python, using them to transform and optimize data. You know your way around CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, Bicep). You More ❯

projects are the norm, our projects are fast-paced, typically 2 to 4 months long. Most are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship alone or in collaboration with a Project Manager. Additionally, at this seniority level … it take to fit the bill? Technical Expertise You (ideally) have 5+ years of experience in Data Engineering , with a focus on cloud platforms (AWS, Azure, GCP); You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog); You have extensive experience in ETL/… ELT development and data pipeline orchestration (e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, and Step Functions); You're proficient in SQL and Python , using them to transform and optimize data like a pro; You know your way around CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation 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 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 More ❯