1,801 to 1,825 of 2,327 Remote AWS Jobs

Ability to articulate technical issues to non-technical stakeholders. Familiarity with UI/UX definition and quality standards. Exposure to fast-paced environments is preferred Experience deploying solutions on AWS is also a preference Why Join Them? This company combines the energy and ownership of a fast-growing scale-up with the stability of a well-established business. You’ll More ❯

Ability to articulate technical issues to non-technical stakeholders. Familiarity with UI/UX definition and quality standards. Exposure to fast-paced environments is preferred Experience deploying solutions on AWS is also a preference Why Join Them? This company combines the energy and ownership of a fast-growing scale-up with the stability of a well-established business. You’ll More ❯

learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong skills in data storytelling, problem-solving, and working with both structured and unstructured data. Experience with APIs, cloud platforms (especially AWS), and MLOps practices is a strong advantage. A collaborative, curious mindset with excellent communication skills and a passion for innovation. Benefits include: Salary £55,000 dependant on experience Hybrid working More ❯

adeptly communicating insights to key stakeholders and executives. You are proficient in SQL statistical languages (e.g. Python or R), Excel, and the utilization of BI visualization tools, such as AWS QuickSight. You have a passion for using Business Intelligence to help solve real business challenges and grow the business. You are committed to personal growth and continuous self-development. You More ❯

automate quality control processes Requirements Over 3+ years of hands-on Python development experience for production systems Proficient in data cloud computing technologies (EMR, Databricks) within leading cloud platforms (AWS, Google Cloud, or Azure) Skilled in designing and implementing data pipelines using distributed storage platforms Demonstrated analytical skills and structured approach to software design Have a strong intrinsic desire to More ❯

of Data Vault modeling being a significant asset. Experienced in designing and managing data pipelines , including traditional ETL solutions and Python programming. Familiar with cloud technology , with experience in AWS being advantageous. Relevant cloud certifications are a plus. Knowledgeable in Agile methodologies and DevSecOps practices. Fluent in both French and English , both verbal and written. Offre A full-time open More ❯

field. Demonstrable experience of working with software first real-time broadcasting system. Demonstrable experience of Scripting & Automation e.g. Ansible, Terraform, Python Experience of deploying and managing cloud infrastructure in AWS, GCP, Azure, Oracle Experience of using network analysis/packet capture tools such as Wireshark Understanding of real time transport and encapsulation protocols such as RTP, UDP, SRT, RIST, ZIXI More ❯

at scale. WHAT EXPERIENCE WILL YOU OFFER? Proven experience leading large-scale engineering teams (100+) in high-growth, product-led organisations. Deep knowledge of software development languages, cloud platforms (AWS preferred), DevOps/SRE, CICD, TDD. Experience and/or interest in emerging AI/Data Science & Automation solutions Exceptional people leadership: you build empowered, high-trust teams with a More ❯

Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelors degree. Required Skills Java Spring Boot MongoDB Apache Kafka Some AWS/ECR Suite familiarity Desired Skills Analyze user requirements to derive software design and performance requirements. Debug existing software and correct defects. Provide recommendations for improving documentation and software development More ❯

Skills (not Mandatory) to which we would be happy to upskill if candidate is keen to learn: Kubernetes Kafka Familiarity with BDD and TDD tools Awareness of accessibility standards AWS Postgres Benefits As well as a competitive pension scheme, BAE also offers employee share plans, an extensive range of flexible discounted health, wellbeing & lifestyle benefits, including a green car scheme More ❯

leading complex investigations with a large number of stakeholders Strong communication skills and a proven track record of communicating with internal and external stakeholders at all levels. Expertise on AWS security controls and services. Experience leveraging coding for automation, alert enrichment and detections Knowledge of adversary tactics, techniques, and procedures (TTPs) and MITRE ATT&CK principles Hands-on experience with More ❯

Generate reports for both technical and non-technical staff and stakeholders. What you bring: At least 7 years of experience in the information security field. Hands-on experience with AWS (or similar cloud platforms) and Cloudflare. Infrastructure as Code: Proficiency with Terraform or similar IaC tools. Vulnerability Knowledge: Solid understanding of common vulnerability classes and the OWASP Top 10. Coding More ❯

PAM, including leadership roles. Technical Skills: Hands-on experience with tools like SailPoint, Saviynt, CyberArk, Okta, Azure AD, and BeyondTrust. Cloud Expertise: Proficient in cloud IAM/PAM practices (AWS, Azure, GCP). Reward & Benefits - A fair and competitive salary evaluated against market data, annual discretionary bonus scheme, Medicash healthcare scheme, 29 days annual leave plus bank holidays and enhanced More ❯

. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for Python-based implementations. Proven ability to produce data science models and insights that are More ❯

systems. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for Python-based implementations. Proven ability to produce data science models and insights that are More ❯

systems. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for Python-based implementations. Proven ability to produce data science models and insights that are More ❯

and collectively improve detection efficacy. Automate data extraction, in-depth analysis, and the reporting of detection performance and efficacy. Query and analyse large datasets utilise platforms such as Clickhouse, AWS Athena etc. identify detection gaps, measure scanner effectiveness, and drive data-informed improvements. Document observed Tactics, Techniques, and Procedures (TTPs) related to email-delivered threats and communicate them internally or More ❯

programming languages: Python, Java, C++, C#, or MATLAB • Experience with TensorFlow, PyTorch, Keras, or Scikit-learn • Experience with RF, SAR or EO image processing algorithms/techniques • Experience with AWS or another cloud computing platform • Excellent written and verbal communication skills • Ability to work in a collaborative and team-based environment Security Clearance Statement: This position requires a government security More ❯

maturity. Strong architectural leadership and the ability to align technical design with business goals. Proven ability to steer technical discussions and decision-making processes. Familiarity with MS Azure and AWS platforms; Google Cloud experience is also beneficial. Experience working with GitHub for repository and metadata management. Understanding of enterprise architecture principles and practices. Qualifications & Certifications A degree or equivalent qualification More ❯

reducing risks in our Cloud configurations What you'll need Experience in a Cloud native environment and automation Experience designing, implementing and managing security capabilities at scale 5+ years AWS, 3+ years IAC (Terraform) and automation (Python) experience WAF, IAC, SCPs, Secrets Management 5-8 years of experience within Cloud Security Experience working within SaaS companies Experience with incident handling More ❯

for data/analytics platforms. Understanding of the software development lifecycle with a data-centric lens. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Proven experience translating data and analytics requirements into actionable backlog items. Knowledge of regulatory and compliance frameworks (e.g., GDPR, CCPA) as it pertains to data products. Who More ❯

for data/analytics platforms. Understanding of the software development lifecycle with a data-centric lens. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Proven experience translating data and analytics requirements into actionable backlog items. Knowledge of regulatory and compliance frameworks (e.g., GDPR, CCPA) as it pertains to data products. Who More ❯

for data/analytics platforms. Understanding of the software development lifecycle with a data-centric lens. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Proven experience translating data and analytics requirements into actionable backlog items. Knowledge of regulatory and compliance frameworks (e.g., GDPR, CCPA) as it pertains to data products. Who More ❯

for data/analytics platforms. Understanding of the software development lifecycle with a data-centric lens. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Proven experience translating data and analytics requirements into actionable backlog items. Knowledge of regulatory and compliance frameworks (e.g., GDPR, CCPA) as it pertains to data products. Who More ❯

for data/analytics platforms. Understanding of the software development lifecycle with a data-centric lens. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Proven experience translating data and analytics requirements into actionable backlog items. Knowledge of regulatory and compliance frameworks (e.g., GDPR, CCPA) as it pertains to data products. Who More ❯