151 to 175 of 181 Remote AWS Lambda Jobs

Proven experience building and maintaining APIs. Updating and altering application features to enhance performance. Proficient with code versioning tools. Prior working experience in Agile methodologies. Our systems sit on AWS, so experience with EC2, RDS, S3 and LAMBDA is beneficial but not essential Other information The next steps So, if you think you've got some exceptional skills More ❯

manage their energy usage - A pricing and billing engine for real time energy pricing The tech stack is React Native mobile app , some React web frontends , and a Serverless Lambda backend on AWS . We're using Typescript top to bottom , and Apollo GraphQL sits in the middle. We keep our data in DynamoDB , Postgres , and Snowflake , using More ❯

can handle our rapid growth, with a focus on event based architectures rather than traditional ETL methods Drive our cloud migration strategy - Contribute to the transition from GCP to AWS, migrating our data warehouse from BigQuery to Redshift, supporting our analysts, migrate our ETL from Dataform to dbt, while maintaining zero downtime for critical healthcare data Collaborate across teams … Continuously monitor and improve our data infrastructure for scalability, reliability, and cost-effectiveness as we expand across multiple markets What Experience You'll Bring to the Team Cloud & Infrastructure: AWS - Hands-on experience with Redshift, S3, VPC networking, Lambda, and IAM configurations Data warehouse migration experience - Proven track record migrating large-scale systems (e.g., BigQuery Redshift) Infrastructure as More ❯

HO) manages immigration into the United Kingdom Experience required: Programming & Development * Python Development * Proficient in building backend systems, automation tools, microservices, and APIs. * Experienced with libraries such as boto3 (AWS), ldap3, hvac (Vault), jira, and kubernetes (via kubernetes-client). * Proficient with modern Python features (asyncio, type hints, context managers) AWS Services & API Integration * Deep experience using AWS SDKs in both Python (boto3) and Go (aws-sdk-go-v2) to: * Interact with services like EC2, S3, IAM, CloudWatch, and Lambda. LDAP, Vault, JIRA/Confluence, Kubernetes Integration in Python & Go * LDAP: * Authentication and user/group management using ldap3 in Python. Kubernetes: * Working with the Kubernetes API in Python using the official kubernetes client. Testing & Quality More ❯

HO) manages immigration into the United Kingdom. Experience required: Programming & Development Python Development Proficient in building backend systems, automation tools, microservices, and APIs. Experienced with libraries such as boto3 (AWS), ldap3, hvac (Vault), jira, and kubernetes (via kubernetes-client). Proficient with modern Python features (asyncio, type hints, context managers). AWS Services & API Integration Deep experience using … AWS SDKs in both Python (boto3) and Go (aws-sdk-go-v2) to: Interact with services like EC2, S3, IAM, CloudWatch, and Lambda. LDAP, Vault, JIRA/Confluence, Kubernetes Integration in Python & Go LDAP: Authentication and user/group management using ldap3 in Python. Kubernetes: Working with the Kubernetes API in Python using the official kubernetes client. Testing More ❯

to join a growing team in the Manchester area. You should be fluent in TypeScript and React, with an eye for UI/UX experience A strong background integrating AWS services such as Lambda, API Gateway, Cognito, and S3 is essential. You'll contribute to architecture decisions, mentor developers, and help shape our front-end strategy. Requirements: 5+ … years of front-end experience Expert in React and TypeScript Hands-on AWS integration experience Strong understanding of APIs (REST/GraphQL) CI/CD familiarity and clean coding practices Nice to Have: Next.js, Jest/Cypress, or Terraform/CDK experience UI/UX sensibility or design system work PHP/WordPress experience What We Offer: Competitive pay More ❯

ensuring users can confidently self-serve data. Data Governance: Own systems for monitoring, testing, and validation to maintain trust in the data and catch issues early. Cloud Infrastructure: Leverage AWS services (S3, Glue, Lambda, etc.) and Python scripting to orchestrate and automate data workflows. Innovation & Improvement: Continually explore and implement tools and processes that improve scalability, developer productivity … SQL skills and experience optimising complex transformations. Programming Proficiency: Comfortable with Python for automation, integration, and data orchestration. Cloud Savvy: Solid understanding of modern cloud data infrastructure, especially within AWS . Team Leadership: Experience mentoring and managing engineers in a fast-paced environment. Communication Skills: Able to clearly communicate with both technical and non-technical stakeholders. BI Familiarity: Comfortable More ❯

solutions for business requirements Experience of developing using an Agile development approach Proven experience working in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working More ❯

solutions for business requirements Experience of developing using an Agile development approach Proven experience working in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working More ❯

solutions for business requirements Experience of developing using an Agile development approach Proven experience working in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working More ❯

solutions for business requirements Experience of developing using an Agile development approach Proven experience working in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working More ❯

ve worked with LLMs and/or computer vision models in real-world settings, and you know what it takes to get them into production. You're confident with AWS - from setting up infrastructure to building training pipelines and deploying models at scale. You thrive in fast-paced environments and enjoy seeing your work ship quickly. You're proactive … vision systems - from object detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy models at scale using AWS - including Lambda, EC2, S3, and SageMaker Meet with enterprise clients to explore problems, present ideas, and share results Prototype fast, test often, and get working solutions into the More ❯

ve worked with LLMs and/or computer vision models in real-world settings, and you know what it takes to get them into production. You're confident with AWS - from setting up infrastructure to building training pipelines and deploying models at scale. You thrive in fast-paced environments and enjoy seeing your work ship quickly. You're proactive … vision systems - from object detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy models at scale using AWS - including Lambda, EC2, S3, and SageMaker Meet with enterprise clients to explore problems, present ideas, and share results Prototype fast, test often, and get working solutions into the More ❯

3NF, dimensional, and Vault 2.0 modelling Real-time and streaming data know-how Hands-on with tools like Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling The vibe: You More ❯

3NF, dimensional, and Vault 2.0 modelling Real-time and streaming data know-how Hands-on with tools like Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling The vibe: You More ❯

BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no … Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing … and understand Python code especially those using AWS boto3 APIs Good understanding of replication software such as DMS Desirable criteria Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data More ❯

BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no … Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing … and understand Python code especially those using AWS boto3 APIs Good understanding of replication software such as DMS Desirable criteria Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data More ❯

including incident resolution and root cause analysis. Required Skills & Qualifications: Previous experience as a DevOps engineer, designing, implementing, and maintaining scalable, secure, and reliable cloud solutions. Solid experience with AWS, ideally including AWS DevOps Engineer certification. Ability to identify, assess, and mitigate risks associated with infrastructure changes, applying appropriate change management processes. Experience with containerization and orchestration tools … such as Kubernetes (K8s), Amazon Elastic Kubernetes Service (EKS), Docker, and AWS Lambda. Previous experience working closely with developers, testers and the remaining technical team. Strong knowledge of security best practices, including implementing security changes and addressing security issues. Exposure to Ping Identity – formerly known as ForgeRock is highly desirable. Benefits: Initial 6-month contract Inside IR35 , with the More ❯

strategy and ensuring the success of our client's complex, critical high-profile projects. You will lead the design and implementation of secure, scalable, and resilient data architectures on AWS and other cloud platforms, while also serving as a mentor and leader to a team of skilled data professionals. Duties & Responsibilities Engage with senior stakeholders, both internal and external … objectives Lead the design, development and implementation of data architectures that meet the needs of our clients, ensuring alignment with security, performance and scalability requirements Utilise extensive experience with AWS tooling and other cloud providers to architect and deploy secure, cloud-native solutions for batch and real-time data processing Provide technical leadership and guidance to cross-functional teams … to continuously improve our offerings Essential Experience and Competencies 10+ years of experience in data architecture, with a focus on secure, large-scale and complex projects Extensive experience with AWS services, including but not limited to EC2, S3, RDS, Lambda and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands More ❯

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure … affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda's AI Cloud has been adopted by the world's leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars … make computation as effortless and ubiquitous as electricity. If you'd like to build the world's best deep learning cloud, join us. What You'll Do Help scale Lambda's high performance cloud network Contribute to the reproducible automation of network configuration and deployments Contribute to the implementation and operations of Software Defined Networks Help to deploy and More ❯

and compliance issues across HL's Cloud estate, delivering cloud security integration projects and BAU activities. You will provide technical guidance to the HL Cloud Platforms teams, to ensure AWS security engineering best practices to securely build and scale cloud-native infrastructure and applications. What you'll be doing Assist in assessing IaC designs, their implementation into production, automating … where possible, and documenting solutions leveraging Amazon Web Service (AWS) and other third-party solutions. Assist security engineering within HLs cloud infrastructure team to build and improve security logging and native AWS tooling. Manage the AWS cloud security logging capabilities, ensuring these are functioning correctly at all times. Document the security tooling, enabling other teams to architect … and build solutions which conform to the structure. Assist the lead cloud security engineer by providing subject matter expertise as it relates to AWS cloud platforms and emerging cloud technologies. Delivery of security analysis, recommendations, projects and compliance methods and practice. Assist in the design of a strategy to create a custom automated methodology for identifying potential security principles More ❯

under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use-Case Development: Proficiency with Amazon More ❯

infrastructure. Key Responsibilities: Design, build, and optimize data pipelines using Airflow, DBT, and Databricks. Monitor and improve pipeline performance to support real-time and batch processing. Manage and optimize AWS-based data infrastructure, including S3 and Lambda, as well as Snowflake. Implement best practices for cost-efficient, secure, and scalable data processing. Enable and optimize AWS SageMaker … or a related field, or equivalent work experience. Minimum of 3 years of experience in DataOps or similar. Proficiency in key technologies, including Airflow, Snowflake, and SageMaker. Certifications in AWS/Snowflake/other technologies a plus. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and manage multiple priorities effectively. What's in it More ❯

matter expertise in data processing and reporting. In this role, you will own the reliability, performance, and operational excellence of our real-time and batch data pipelines built on AWS, Apache Flink, Kafka, and Python. You'll act as the first line of defense for data-related incidents , rapidly diagnose root causes, and implement resilient solutions that keep critical … as on-call escalation for data pipeline incidents, including real-time stream failures and batch job errors. Rapidly analyze logs, metrics, and trace data to pinpoint failure points across AWS, Flink, Kafka, and Python layers. Lead post-incident reviews: identify root causes, document findings, and drive corrective actions to closure. Reliability & Monitoring Design, implement, and maintain robust observability for … capacity planning, scaling policies, and disaster-recovery drills for stream and batch environments. Architecture & Automation Collaborate with data engineering and product teams to architect scalable, fault-tolerant pipelines using AWS services (e.g., Step Functions , EMR , Lambda , Redshift ) integrated with Apache Flink and Kafka . Troubleshoot & Maintain Python -based applications. Harden CI/CD for data jobs: implement automated More ❯

What You'll Be Building You'll develop three fully functional, production-quality Proofs of Concept that demonstrate technical leadership in: Real-Time Azure-to-AWS Migration Demo - showcasing cross-cloud architecture AI-Powered Email Intelligence System - with natural language querying Document Validation POC - including interface and full integration Key Skills Required Cloud Data Engineering: AWS (Aurora, DMS … Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services, 3rd-party system integrations Production Standards: Monitoring, logging, cost optimisation, error handling Ideal Candidate Senior-level engineer with proven experience delivering client-facing demos or production-quality POCs Able to More ❯