101 to 125 of 136 Permanent Amazon S3 Jobs

technical excellence across your team. Lead by example — fostering collaboration, accountability, and agile delivery in every sprint. 🧠 What You Bring Expertise in AWS : Hands-on experience with Python, Glue, S3, Airflow, DBT, Redshift, and RDS. Proven success in end-to-end data engineering — from ingestion to insight. Strong leadership and communication skills, with a collaborative, solution-driven mindset. Experience More ❯

proficient in React development Django framework experience (or other Python web frameworks) Solid understanding of relational databases and data modelling Hands-on experience with AWS services (SNS, SQS, EKS, S3) Kubernetes experience using tools like kubectl and k9s Understanding of building systems that operate at scale Experience with production deployments and CI/CD pipelines (CodeFresh or similar) Comfortable More ❯

and presenting trends and findings for broad audiences Desirable Experience Creating and using numerical models and solving optimisation problems Tableau Certified Use of cloud-based data tooling e.g. AWS S3, Snowflake Working knowledge of Spanish Use of specific analytical tools: Tableau, SQL, Python, Business Objects If you would like to hear more, please do get in touch. Alternatively, you More ❯

capacity. Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline More ❯

for ownership, accountability, and delivering high-quality software Preferred Skills (Nice to Have): Experience with Authentication, Authorization, RBAC and security best practices. Familiarity with cloud primitives such as VPC, S3, Virtual Machines, etc. Qualities we look for: Set the standard: Every single day, you spot opportunities to constructively shake things up. Inspire the change: There's no blueprint for More ❯

data infrastructure. While not everything listed is essential, youll ideally be familiar with: AWS TypeScript, React, Node.js C# and Python services Data stores such as Redshift, DynamoDB, Postgres, Elasticsearch, S3 Snowflake as a central part of a modern data platform This is a brilliant opportunity to take a lead role in shaping a forward-thinking data platform that supports More ❯

work with the backend development team to present specs and coordinate deployment. JavaScript Frameworks (e.g. Angular, React, Vue) CSS SCSS HTML Bootstrap Framework Responsive Website Technology Graphic Design AWS (S3 & EC2) Adobe Photoshop Adobe Indesign Adobe Illustrator Creatively solve complex problems Handle website and application updates to include routine maintenance, content edits, and programming changes Assist the digital marketing More ❯

multiple layers of the stack—from crafting robust C# microservices to leveraging the power of AWS for cloud-native solutions. You'll work with a diverse tech ecosystem including S3, SQS, SNS, Lambda, RDS (Postgres), Athena, Step Functions, and Glue ETL, while also diving into SQL, Python, and occasionally Groovy. Strong foundations in Object-Oriented Design, SOLID principles, and … security and compliance in all development activities, adhering to industry standards and internal policies. Experience & Competencies Essential SQL Mastery : CTEs, joins, triggers, cursors, Postgres, partitioning, window functions. AWS Expertise : S3, Step Functions, Glue, Athena, data partitioning strategies. C# : Multithreading, records, IOC/DI, .NET Core, generics. Python : Solid working knowledge. CI/CD : GitLab pipelines, scripting (PowerShell/Bash More ❯

who can help us scale: across data acquisition, ingestion, storage, and AI-powered consumption within a secure, multi-tenant environment. You'll evolve our existing data platform (AWS, Snowflake, S3, Postgres, event-driven services) into a product-facing, AI-ready foundation, while partnering across disciplines and leading a team in a supportive, high-trust environment. If you're passionate … gives you the autonomy, influence, and visibility to shape how AI is adopted across the company. Requirements Key Responsibilities Data platform evolution Take our current AWS/Snowflake/S3/Postgres setup and enable AI/RAG, product consumption, and multi-tenant access. Work with the Technical Architect to keep this aligned with our event-driven and security … those has different latency, quality, and governance needs. You're comfortable with: AWS (core services, IAM basics, networking good practice), Snowflake (or similar cloud data warehouse), Amazon S3 for landing/staging data Postgres (including JSONB/dynamic fields), Event-driven patterns for efficient and effective data pipeline management, 2. AI-positive, not AI-sceptic This role More ❯

Isaac Sim, Omniverse)Experience with model evaluation metrics and performance tuningKnowledge of ROS/ROS2, Python, and C++ for robotics integrationExposure to cloud-based ML workflows (AWS SageMaker, EC2, S3) is a plusPrior work in robotics perception, VLMs, or multi-modal AI systems is highly desirableRoles & Responsibilities:Assist in fine-tuning NOVA and other vision-language models for robotic More ❯

software solutions. Your responsibilities will include: Developing, testing, and deploying high-quality code primarily using Java and Spring Boot . Designing and implementing cloud-native applications on AWS (Amazon Web Services). Contributing to the front-end development using JavaScript . Collaborating with product managers, designers, and other engineers to define and deliver new features. Participating in code … discussions, and continuous improvement initiatives. Essential Skills: Proven experience as a Java Developer . Strong working knowledge of the Spring Boot framework. Hands-on experience with AWS (e.g., EC2, S3, Lambda, RDS). Familiarity with JavaScript for front-end development. Experience with relational and/or NoSQL databases. Solid understanding of software development principles, design patterns, and agile methodologies. More ❯

software solutions. Your responsibilities will include: Developing, testing, and deploying high-quality code primarily using Java and Spring Boot . Designing and implementing cloud-native applications on AWS (Amazon Web Services). Contributing to the front-end development using JavaScript . Collaborating with product managers, designers, and other engineers to define and deliver new features. Participating in code … discussions, and continuous improvement initiatives. Essential Skills: Proven experience as a Java Developer . Strong working knowledge of the Spring Boot framework. Hands-on experience with AWS (e.g., EC2, S3, Lambda, RDS). Familiarity with JavaScript for front-end development. Experience with relational and/or NoSQL databases. Solid understanding of software development principles, design patterns, and agile methodologies. More ❯

development teams to integrate Kafka applications and services. Maintain an architectural library for Kafka deployment models and patterns Helping developers to maintain Kafka connectors such as JDBC, MongoDB and S3 connectors, along with topics schemas, to streamline data ingestion from databases, NoSQL data stores and cloud storage, enabling faster data insight. More ❯

development teams to integrate Kafka applications and services. · Maintain an architectural library for Kafka deployment models and patterns · Helping developers to maintain Kafka connectors such as JDBC, MongoDB and S3 connectors, along with topics schemas, to streamline data ingestion from databases, NoSQL data stores and cloud storage, enabling faster data insight. More ❯

Senior Data Engineer in a cloud environment, with openness to various data platforms including AWS, Azure, and Google Cloud. Strong knowledge of data services across multiple platforms (e.g., AWS S3, Redshift, Glue, Azure Blob Storage, Google BigQuery). Expertise in data modelling (Dimensional, Data Vault, Enterprise). Experience designing and implementing modern data architectures. Proficiency with integration/orchestration More ❯

solutions You: You will have previous proven experience: · Building, modelling, and maintaining data pipelines · With a range of Amazon Web Service products and technologies such as EC2, S3, Lambda, ECS and Redshift · Designing data infrastructure to support modelling and data analytics · As an AWS Solutions Architect or Lead, or similar · Strong Python experience or other object oriented More ❯

applications and data pipelines. Collaborate with data scientists and analysts to ensure data quality, availability, and consistency for advanced modeling and reporting. Utilize AWS or other cloud services (e.g., S3, Glue, EMR, Snowflake) to architect and maintain cloud-based data ecosystems. Write and optimize complex SQL queries for data extraction, integrity checks, and performance tuning. Required Technical Skills 5+ … principles and tools for deploying Python-based data applications (e.g., containerization, CI/CD). Experience with cloud platforms (AWS strongly preferred) and associated data services (e.g., AWS Glue, S3, Lambda, Snowflake). Advanced knowledge of SQL and experience with modern data warehousing and database performance tuning. Familiarity with distributed data processing technologies (e.g., Apache Spark, Hadoop). More ❯

IaC) into all stages of the SDLC. Design, implement, and maintain AWS infrastructure as code using Terraform and Ansible Deliver threat models and drive remediations across cloud services (EC2, S3, RDS, etc.). Build Docker-first workflows with image scanning, tagging, and artifact management. Write and own SOPs for secure deployment and incident response aligned to ISO 27001 and … services 12 months Implement full-stack observability with anomaly alerts and dashboards for security and reliability using the ELK stack Requirements Have deep expertise in: Cloud Infrastructure (AWS): EC2, S3, RDS, IAM, VPC, CloudWatch, CloudTrail, Lambda, SQS/SNS CI/CD Pipelines: Bitbucket Pipelines (or similar), multi-stage pipeline management, gated deployments Security Operations: Snyk, IAM policies, threat More ❯

DHCP, GPOs Support Hyper-V/VMware environments Manage backups & DR using Veeam Support networking: DNS, DHCP, VLANs, routing, VPN Assist with cloud technologies (M365, Intune, Google Apps, AWS S3) Work on infrastructure and migration projects Maintain documentation and deliver excellent customer service Technical Requirements Strong Windows Server & AD experience Hyper-V/VMware exposure Veeam Backup & Replication knowledge More ❯

DHCP, GPOs Support Hyper-V/VMware environments Manage backups & DR using Veeam Support networking: DNS, DHCP, VLANs, routing, VPN Assist with cloud technologies (M365, Intune, Google Apps, AWS S3) Work on infrastructure and migration projects Maintain documentation and deliver excellent customer service Technical Requirements Strong Windows Server & AD experience Hyper-V/VMware exposure Veeam Backup & Replication knowledge More ❯

maintain Python-based applications, APIs, and automation scripts. Collaborate with data scientists to deploy ML models into production systems. Support the development of data and model pipelines on AWS (S3, Lambda, SageMaker). Write clean, efficient, and testable code following best practices. Implement monitoring and logging to monitor system stability and performance. Optimize data processing workflows for ML training … work. Required Skills Strong Python programming skills. Understanding of machine learning concepts, preferably with experience using frameworks such as scikit-learn, TensorFlow, or PyTorch. Familiarity with AWS services (e.g., S3, Lambda, EC2, or SageMaker). Solid understanding of APIs, data serialization formats (JSON, Parquet), and RESTful services. Experience with SQL and working with relational databases. Knowledge of Git, containerization More ❯

and other databases to AWS IaaS and PaaS. • Expertise in using Cloud migration tools • Cloud Formation Template creation • Good understanding on Networking, storage and Windows/UNIX OS, VPCs, S3 Storage • Direct Connect • Data Migration Service • Good to have exposure on DevOps, Dockers and containers. • Integrating AWS with other third-party products for • Backup • o Antivirus • o Security • o … industry certifications would be strongly preferred Skills Set Operating Systems: RedHat Linux 5, 6, 7, CentOS, Amazon Linux, Oracle Linux Cloud Services: AWS Services [Cloud formation, EC2, S3, SQS, SNS, RedShift, IAM, CloudWatch, etc.] Programming Languages: Python, Shell Scripting Tools/Services: OpenLDAP, Ansible, Docker, HAProxy, Actifio Backup Solution Web Application Servers: WebLogic, Websphere, Apache Tomcat, JBoss More ❯

We are seeking a skilled Mid-Level AWS Contact Centre Engineer to support, develop, and optimise our cloud-based contact centre solutions. You will work hands-on with Amazon Connect and the wider AWS ecosystem to ensure a high-performing, reliable, and scalable customer experience platform. Amazon Connect & Contact Centre Delivery Configure, maintain, and enhance Amazon … routing profiles, queues, contact flows, and prompts. Implement features such as chat, voice, tasks, and workforce management integrations. AWS Engineering & Automation Work across core AWS services (e.g., Lambda, DynamoDB, S3, CloudWatch, IAM, API Gateway ) to support and extend contact centre functionality. Write, update, and maintain Lambda functions (ideally Python/Node.js) to support automation and integrations. Use IaC tools … proactively recommend improvements. Required Skills & Experience Proven experience working with Amazon Connect in an engineering or configuration capacity. Hands-on experience with AWS services such as Lambda, S3, IAM, CloudWatch, DynamoDB, API Gateway . Ability to build and troubleshoot contact flows , queues, routing, and telephony features. Competence writing Lambda functions (Python or Node.js preferred). Experience integrating More ❯

We are seeking a skilled Mid-Level AWS Contact Centre Engineer to support, develop, and optimise our cloud-based contact centre solutions. You will work hands-on with Amazon Connect and the wider AWS ecosystem to ensure a high-performing, reliable, and scalable customer experience platform. Amazon Connect & Contact Centre Delivery Configure, maintain, and enhance Amazon … routing profiles, queues, contact flows, and prompts. Implement features such as chat, voice, tasks, and workforce management integrations. AWS Engineering & Automation Work across core AWS services (e.g., Lambda, DynamoDB, S3, CloudWatch, IAM, API Gateway ) to support and extend contact centre functionality. Write, update, and maintain Lambda functions (ideally Python/Node.js) to support automation and integrations. Use IaC tools … proactively recommend improvements. Required Skills & Experience Proven experience working with Amazon Connect in an engineering or configuration capacity. Hands-on experience with AWS services such as Lambda, S3, IAM, CloudWatch, DynamoDB, API Gateway . Ability to build and troubleshoot contact flows , queues, routing, and telephony features. Competence writing Lambda functions (Python or Node.js preferred). Experience integrating More ❯

experience). - Proven experience as a Site Reliability Engineer or similar role. 2. Technical Skills: - Extensive experience with Amazon Web Services (AWS) and its core services (EC2, S3, RDS, IAM, etc.). - Strong proficiency in infrastructure-as-code (IaC) tools, with a focus on Terraform. - Proficient in scripting with Python or Bash for automation and operational tasks. More ❯