aws software development engineer

Shift4

<div>Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com. 
As an AWS Cloud Data Engineer, you will use your experience in cloud data engineering and Redshift, AWS Glue, Lambda, and DMS Kinesis technologies first and foremost - being responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization&rsquo;s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.
This role is onsite and can be based at any of the following Shift4 locations: USA: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA 
Canada: Vancouver, BC / Toronto, ON
Hours: Day shift 
Responsibilities
Technology:<ul><li>
Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.</li><li>
Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to</li><li>
Diagnose and resolve issues with deployed systems (as part of level 3 support).</li><li>
Become technically solid for the cloud data platform.</li><li>
Evaluate and resolve technical debt, engage in platform modernization and build reliable features.</li><li>
Recommend and implement best practices and standards for the cloud data platforms.</li></ul>
People and Leadership<ul><li>
Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.</li><li>
Interface across multiple engineering teams and engineering groups working on various parts of the platform.</li><li>
Mentor and develop junior team members.</li></ul>
Process<ul><li>
Ensure efficient operation of Scrum within the team.</li><li>
Analyze and update tools and processes when required.</li><li>
Measure key team metrics.</li></ul>
Qualifications<ul><li>
Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered.</li><li>
3+ years of experience in cloud data engineering.</li><li>
2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.</li><li>
1+ years working with ETL tools (MS SSIS or similar).</li><li>
Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).</li><li>
Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.</li></ul>
Additional experience that is a plus to have:<ul><li>
AWS Certified Data Engineer &ndash; Associate</li><li>
AWS Certified Cloud Practitioner</li><li>
AWS Certified AI Practitioner</li></ul> 
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.</div>

AWS Cloud Data Engineer

numi

<div>
 
 
 Job Title:
 
 Software Engineer
 
 Salary Range:
 
 &pound;60,000 &ndash; &pound;80,000 (Dependent on experience)
 
 
 
 
 
 
 About Our Client
 
 
 
 Our client is a well-backed, early-stage HealthTech startup spun out of leading academic and veterinary institutions. They are building a proactive care platform that leverages connected technology, biological data, and clinical insights to reinvent how companion animals are cared for. By combining hardware and advanced software, their mission is to empower pet parents and veterinary professionals with predictive insights.
 
 
 
 
 
 
 The Role
 
 
 
 Our client is looking for a smart, curious, and product-focused Software Engineer to join their core team. You will focus on complex application and business logic, playing a crucial role in building their foundational systems. As part of their highly collaborative culture, you will interact directly with veterinary specialists and clinical researchers, translating their insights into robust technical solutions.
 
 
 
 
 
 They need a strategic partner who actively engages with product goals and contributes ideas, not a "ticket-taker."
 
 
 
 
 
 
 The Tech Stack
 
 
 <ul>
 <li>
 
 AWS (Back End)
 
 </li>
 <li>
 
 Python
 
 </li>
 <li>
 
 React Native
 
 </li>
 <li>
 
 TypeScript
 
 </li>
 </ul>
 
 
 
 
 
 What You Will Do
 
 
 
 
 The First 6 Months: AI Ops &amp; Automated Testing
 
 Currently, there is no testing infrastructure in place. Your immediate mandate will be to spearhead their automated testing strategy from a blank slate. You will build a mature unit testing system that covers both isolated and integrated platform components. Where standard frameworks fall short, you will need to design and build custom solutions.
 
 
 
 
 
 
 Beyond 6 Months: Open-Ended Innovation
 
 Once the testing foundation is mature, your role will become highly open-ended. Your trajectory will be shaped by your personal technical strengths and the company&rsquo;s evolving product needs as they scale.
 
 
 
 
 
 
 What They Are Looking For
 
 
 <ul>
 <li>
 
 AI Coding Experience (Compulsory):
 
 You must have hands-on experience experimenting with AI coding tools and workflows. You will be expected to critically discuss their practical pros, cons, and impact on development speed.
 </li>
 <li>
 
 Domain Background:
 
 Experience in healthcare, hardware, or R&amp;D environments is strongly preferred.
 
 (Given the physical and clinical nature of the product, candidates with strictly finance/FinTech backgrounds are generally a poor fit).
 
 </li>
 <li>
 
 Mindset:
 
 Startup-minded, highly proactive, and deeply curious about solving complex, real-world problems.
 </li>
 <li>
 
 Education:
 
 A degree is preferred but absolutely not essential (their Head of Engineering doesn't have one!). Practical ability and a proven track record matter most.
 </li>
 </ul>
</div>

AI Software Engineer

Watt Utilities

AI Software EngineerAbout The RoleWe are looking for an AI Software Engineer to help us build the next generation of AI-powered products, features and services.This is not a Machine Learning or Data Science role. Instead, we&rsquo;re looking for an experienced software engineer who has been heavily involved in designing and building production applications using modern AI technologies. You should understand today&rsquo;s AI ecosystem, know how to evaluate emerging AI tools, and be able to identify where AI can create genuine business value.You&rsquo;ll work across our products and platforms, building enterprise-grade web applications while driving the adoption of AI across customer-facing products, internal tools and engineering workflows.Location: On-site in DubaiRequired Technical Skills● Must have 5+ years of professional software development experience● Strong experience with TypeScript, React and Node.js● Deep understanding of Next.js (App Router, Server Actions, Middleware and Routing)● Strong experience with PostgreSQL (or equivalent), including schema design and query optimisation● Must have experience designing and building production AI-powered applications● Strong understanding of Large Language Models (LLMs) and how to integrate them into software products● Experience working with leading AI providers such as OpenAI, Anthropic, Google Gemini or similar● Experience with prompt engineering, structured outputs and tool/function calling● Experience building AI agents, assistants and intelligent automation workflows● Experience implementing Retrieval-Augmented Generation (RAG)● Experience working with embeddings, vector databases and semantic search● Experience building AI applications using modern orchestration frameworks and SDKs (e.g. Vercel AI SDK, LangChain, LangGraph, LlamaIndex or similar)● Familiarity with the Model Context Protocol (MCP) and modern AI tooling ecosystem● Understanding of AI evaluation, latency optimisation, observability and cost optimisation● Experience implementing AI safety, validation and guardrails in production systemsWhat You Will Do● Design, build and ship AI-powered products, features and services● Architect scalable software systems that effectively integrate AI capabilities● Evaluate emerging AI technologies and recommend practical adoption across the business● Build AI agents, assistants and intelligent automation workflows● Develop backend services that support AI-powered experiences● Implement semantic search, RAG pipelines and knowledge retrieval systems where appropriate● Optimise AI applications for quality, performance, reliability and cost● Integrate third-party APIs, AI providers and external services● Collaborate with product managers, designers and stakeholders to solve business problems using AI● Contribute to architecture discussions, code reviews and engineering best practices● Help define engineering standards and reusable patterns for AI development● Stay up to date with the rapidly evolving AI landscape and share knowledge with the wider teamNice To Have● Experience building AI-first SaaS products● Experience with multi-agent architectures● Experience deploying or fine-tuning open-source models● Experience with cloud AI platforms such as AWS Bedrock, Azure AI or Google Vertex AI● Experience with multimodal AI (vision, speech or document understanding)● Experience with AI evaluation frameworks and observability platforms● Contributions to AI open-source projects or personal AI productsAbout You● Passionate about AI and excited by the pace of innovation in the field● You can work autonomously with minimal supervision, taking ownership of tasks from planning to completion● You have a proactive, can-do approach to problem-solving and are willing to tackle unfamiliar challenges● You are comfortable meeting deadlines and handling multiple priorities in a fast-paced environment● You are a team player with a collaborative mindset, open to feedback, and willing to help colleagues● You follow established coding standards and write clean, maintainable, well-documented code● You participate actively in code reviews (giving and receiving feedback)● You take responsibility for testing and quality assurance of your own workJob Type: Full-timePay: AED10,000.00 - AED15,000.00 per monthWork Location: In person

ASTRELUX IT INC

Job Description:We are seeking a highly skilled and motivated AWS Certified Engineer to design, build, and optimize scalable data solutions within the Amazon Web Services (AWS) ecosystem. The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts, including Hive and modern table formats like Iceberg. This role involves developing, deploying, and managing robust, efficient, and secure data pipelines and analytics solutions on AWS, leveraging core networking and compute services.Responsibilities:<ul><li>AWS Solution Design &amp; Implementation: Design, develop, and deploy scalable and cost-effective data solutions on AWS, leveraging services such as S3 (for data lakes), EC2, EMR, Glue, Athena, Lambda, Redshift, and Kinesis.</li><li>Data Pipeline Development: Build and maintain robust ETL/ELT data pipelines using PySpark for data ingestion, transformation, and loading into various data stores, including those utilizing open table formats like Iceberg.</li><li>Big Data Processing: Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue, handling large datasets efficiently and integrating with Iceberg table formats.</li><li>Data Warehousing: Design, implement, and manage data warehousing solutions, including schema design, data modeling, and query optimization, with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries.</li><li>Cloud Infrastructure &amp; Networking: Implement secure and robust cloud infrastructure components, including VPCs, subnets, routing, and security groups, to ensure proper connectivity and isolation for data solutions.</li><li>Containerized Workloads: Design, deploy, and manage containerized data processing applications on Amazon Elastic Kubernetes Service (EKS).</li><li>Performance Tuning &amp; Optimization: Optimize AWS resources and big data applications (Spark, Hive, Iceberg) for performance, cost, and efficiency.</li><li>Data Governance &amp; Security: Implement best practices for data security, access control, and compliance within AWS, including IAM policies, S3 bucket policies, and encryption.</li><li>Monitoring &amp; Troubleshooting: Set up monitoring, alerting, and logging for data pipelines and AWS infrastructure; troubleshoot and resolve issues promptly.</li><li>Automation: Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning, deployment, and operational tasks.</li><li>Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver reliable data solutions.</li></ul>Qualifications :<ul><li>AWS Certification: Hold at least one AWS certification (e.g., AWS Certified Solutions Architect &ndash; Associate, AWS Certified Data Analytics &ndash; Specialty, AWS Certified Developer &ndash; Associate).</li><li>AWS Services Expertise: Hands-on experience with key AWS services for data processing and storage including:</li><li>Storage: S3 (for data lakes), EC2</li><li>Data Processing: EMR, Glue, Athena, Lambda</li><li>Networking: VPC, Subnets, Routing, Security Groups</li><li>Containerization: EKS</li><li>Big Data Processing: Strong proficiency in PySpark for developing complex data transformations and analytics.</li><li>Data Lake Table Formats: Practical experience with Apache Iceberg for managing and querying data lakes.</li><li>Data Warehousing: In-depth knowledge and practical experience with Apache Hive for data storage, querying, and schema management.</li><li>Programming Languages:</li><li>Python: Expert-level proficiency in Python for scripting, data manipulation, and AWS automation (Boto3).</li><li>Shell Scripting: Proficient in shell scripting for automation and operational tasks.</li><li>Database &amp; SQL: Strong SQL skills for data querying and manipulation.</li><li>Data Concepts: Solid understanding of ETL/ELT processes, data modeling, distributed computing, and data governance.</li></ul>Good to Have Skills<ul><li>Containerization Orchestration: Experience with Kubernetes for deploying and managing containerized applications.</li><li>CI/CD: Experience with CI/CD tools and practices (e.g., AWS CodePipeline, GitHub Actions, GitLab CI) for automating deployment of data solutions.</li><li>Orchestration: Experience with workflow orchestration tools like Apache Airflow.</li><li>Version Control: Proficient in using Git for source code management.</li><li>Other Big Data Technologies: Exposure to other big data technologies like Apache Kafka, Flink, or Presto.</li></ul>Certifications<ul><li>AWS Certified Solutions Architect &ndash; Associate/Professional</li><li>AWS Certified Data Analytics &ndash; Specialty</li><li>AWS Certified Developer &ndash; Associate</li></ul>Pay: $130,000.00 - $140,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: On the road

AWS Data Engineer

Version 1

<div>
 
 Company Description
 
 
 
 Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.
 
 
 We&rsquo;re an award-winning employer reflecting how our employees are at the very heart of what we do:
 
 
 <ul>
 <li>
 UK &amp; Ireland's premier AWS, Microsoft &amp; Oracle partner
 </li>
 <li>
 3300+ strong, &euro;350/&pound;300m revenue business
 </li>
 <li>
 10+ years as a Great Place to Work in Ireland &amp; UK
 </li>
 <li>
 Best Workplace for Women in the UK &amp; Ireland by GPTW
 </li>
 <li>
 Best Workplace for Wellbeing in the UK by GPTW
 
 
 </li>
 </ul>
 We&rsquo;re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it&rsquo;s deeply embedded within our DNA. Invest in us and we&rsquo;ll invest in you!
 
 
 
 Job Description
 
 
 
 Version 1 are one of a handful of AWS Premier Consulting Partners, which is the highest tier of AWS Partnership available.
 
 
 You will be working for the AWS Practice which consists of experienced Architects, DevOps Engineers and Consultants. The customer engagements are varied and the exposure to modern technologies is always present. You will work in a mixture of teams to deliver solutions to major customers across Europe.
 
 
 Version 1 invests in its people and you will be supported to take Associate, Professional and Specialty certifications and additional training that is relevant to your role. We have a successful learning and development programme that provides opportunities to undertake training and certifications through the learning platform of your choice.
 
 
 As an Amazon Web Services (AWS) Cloud Architect, you will assist in implementing and supporting large-scale cloud implementations on AWS. Other duties include architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Improve cloud capability by creating and implementing cloud application patterns
 </li>
 <li>
 Design and implement approaches to move applications and workloads to the cloud
 </li>
 <li>
 Work closely with business leads and product owners to understand solution requirements and identify architectural patterns
 </li>
 <li>
 Monitor compliance of cloud resources against industry guardrails and best practices
 </li>
 <li>
 Research and propose solutions for AWS data transformation, data connections, operational frameworks and application integration
 </li>
 <li>
 Work closely with lead architects and engineers to create and maintain architectural templates and operational artefacts
 </li>
 <li>
 Work with DevOps and engineering teams to develop solutions
 </li>
 <li>
 Contribute to proposals through technical expertise
 </li>
 <li>
 Share technical expertise and guidance across the organisation
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Essential Criteria
 
 
 
 Experience &amp; Cloud Architecture
 
 
 <ul>
 <li>
 5&ndash;7 years of hands-on experience working with AWS Cloud
 </li>
 <li>
 Proven experience working as an AWS Architect
 </li>
 <li>
 Demonstrable experience conducting AWS Well-Architected Framework Reviews
 
 
 </li>
 </ul>
 Cloud Platforms &amp; Kubernetes
 
 
 <ul>
 <li>
 Proven experience designing, building, deploying and operating production-grade EKS/Kubernetes clusters
 </li>
 <li>
 Experience delivering highly regulated, secure, scalable, multi-tenant platforms
 </li>
 <li>
 Demonstrated understanding of secure-by-design cloud architectures
 
 
 </li>
 </ul>
 DevOps / DevSecOps
 
 
 <ul>
 <li>
 Demonstrated knowledge of DevOps and DevSecOps methodologies
 </li>
 <li>
 Experience implementing fully automated CI/CD pipelines, specifically using GitHub Actions
 </li>
 <li>
 Hands-on experience embedding security controls throughout the delivery pipeline
 
 
 </li>
 </ul>
 Infrastructure &amp; Automation
 
 
 <ul>
 <li>
 Infrastructure as Code experience using Terraform
 </li>
 <li>
 Experience using Helm Charts
 </li>
 <li>
 Proficiency in Python and Bash scripting
 </li>
 <li>
 Hands-on Linux experience (RHEL, CentOS)
 
 
 </li>
 </ul>
 
 Preferred Criteria
 
 
 
 Certifications
 
 
 <ul>
 <li>
 AWS Certifications at Associate and/or Professional level
 
 
 </li>
 </ul>
 Security &amp; Engineering
 
 
 <ul>
 <li>
 Security engineering experience and awareness
 </li>
 <li>
 Previous hands-on engineering background
 </li>
 <li>
 Experience with CDK, TypeScript and/or advanced Terraform usage
 
 
 </li>
 </ul>
 Software Development
 
 
 Experience with at least one software development language such as:
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Node.js
 </li>
 <li>
 Java
 </li>
 <li>
 .NET
 
 
 </li>
 </ul>
 Collaboration &amp; Development
 
 
 <ul>
 <li>
 Experience keeping up to date with modern cloud technologies
 </li>
 <li>
 Experience mentoring or supporting the development of colleagues
 </li>
 <li>
 Experience working effectively within collaborative engineering teams
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.
 
 
 <ul>
 <li>
 Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits
 </li>
 <li>
 Strong Career Progression &amp; mentorship coaching through our Strength in Balance &amp; Leadership schemes with a dedicated quarterly Pathways Career Development programme
 </li>
 <li>
 Flexible/remote working, Version 1 is tremendously understanding of life events and people&rsquo;s individual circumstances and offer flexibility to help achieve a healthy work life balance
 </li>
 <li>
 Financial Wellbeing initiatives including; Version 1 Pension with a 5% employee-matched contribution, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
 </li>
 <li>
 Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more.
 </li>
 <li>
 24 days holiday allowance plus Public Holidays, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
 </li>
 <li>
 Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
 </li>
 <li>
 Reward schemes including Version 1&rsquo;s Annual Excellence Awards &amp; quarterly Star Awards.
 </li>
 <li>
 Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.
 
 
 </li>
 </ul>
 And many more exciting benefits&hellip; drop us a note to find out more.
 
 
 Version 1 is an equal opportunities employer
 
 
 We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity.
 
 
 We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact Ekta.Bahl@Version1.com. We will consider all requests carefully, respectfully and confidentially.
 
 
</div>

AWS Architect

Sharegain

<div>About us
Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor?<div>
Our team of experts in the UK, US and Israel built the solution: a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients. We call it SLaaS: Securities Lending as a Service. It&rsquo;s a fully digital, customizable, end-to-end solution that automates front- and back-office operations. Institutions and investors are now free to earn more from what they own.</div><div>
Every Sharegainer has their own backstory, but we all share an ambition to do things differently &ndash; bigger, better, and greater. Together we&rsquo;re on a mission to democratize capital markets by building a more liquid world. The more we share, the more we all gain. 
 
About the role</div><div>
We are looking for an experienced AI Engineer to join our R&amp;D team. You will be delivering scalable web applications from idea to production, taking care of all aspects of software development &ndash; from technologies and security to scalability and reliability.</div>
Responsibilities:<ul><li>
End-to-end ownership of AI &amp; agent systems: take full ownership of your features from architecture and design through to implementation and production, including AI-native features such as autonomous agents and intelligent workflows. Own the full model quality lifecycle from experimentation through to production monitoring and improvement.</li><li>
Cloud infrastructure: be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications.</li><li>
Technical excellence: drive technical excellence, high product quality, innovation, and timely delivery in a production-critical environment.</li><li>
Translate business needs into concrete system architecture and implement it end-to-end across the stack</li></ul>
Requirements:<ul><li>
6+ years of software development experience</li><li>
Proven LLM experience: write, optimize, and measure the effectiveness of AI prompts and applications. Rapidly experiment with models, prompts, and architectures using structured evaluation to identify the best solutions, and translate cutting-edge LLM capabilities into reliable, production-grade systems.</li></ul><div><ul><li>
Strong software engineering fundamentals: SOLID, TDD, version control systems (Git/GitHub/GitLab), and the ability to write production-ready code</li></ul></div><div><ul><li>
Deep understanding of Computer Science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance</li></ul></div><div><ul><li>
Familiarity with software architecture patterns such as microservices, CQRS, and event sourcing</li></ul></div><div><div><ul><li>
Experience with at least one major cloud provider (AWS, Azure, or GCP)</li></ul></div><div><ul><li>
Experience with Kubernetes and Docker containers</li></ul></div><div><ul><li>
Experience designing and building microservices architecture</li></ul></div><div><ul><li>
A team player with a positive attitude and a problem-solver mindset</li></ul></div></div></div>

AI Software Engineer London

Securitas

<div>AWS Infrastructure Engineer
Location: United Kingdom
Purpose
Design, build, and operate AWS infrastructure that underpins key platforms and services as the organisation continues its transition to cloud.
Work as a hands-on AWS engineer, focused on delivering secure, scalable, and highly available environments. Take ownership of components of the migration and operation of business-critical platforms and services within AWS.
Major Responsibilities<ul><li>
Design, build, and maintain AWS infrastructure using infrastructure-as-code principles</li><li>
Support production and non-production environments with a focus on availability, performance, and security</li><li>
Deliver backend infrastructure operations including server management, updates, storage, failover, and logging</li><li>
Build and maintain core AWS services across compute, networking, storage, and identity (e.g. EC2, S3, VPC, IAM, RDS, CloudWatch)</li><li>
Collaborate with application, DevOps, and security teams to deliver resilient cloud solutions</li><li>
Integrate infrastructure with CI/CD pipelines to enable reliable, repeatable deployments</li><li>
Implement monitoring, logging, alerting, and observability practices</li><li>
Investigate incidents, contribute to root cause analysis, and drive continuous improvement</li><li>
Support security, compliance, and audit requirements within cloud environments, including regulated or security-sensitive contexts</li><li>
Work with cloud partners and vendors, including AWS and third parties, on architecture reviews and optimisation</li><li>
Automate infrastructure provisioning and operational processes to reduce manual effort</li><li>
Document infrastructure, standards, and operational processes</li><li>
Primary working hours aligned to European time zones. Participation in a global on-call rotation.</li></ul>
What Success Looks Like<ul><li>
Deliver stable, secure, and scalable AWS environments that support business-critical platforms</li><li>
Contribute to the successful migration and operation of core business platforms and services in AWS</li><li>
Maintain strong system availability and performance across production environments</li><li>
Identify and resolve infrastructure issues proactively, improving reliability over time</li><li>
Collaborate effectively with cross-functional teams to deliver consistent, high-quality solutions</li><li>
Establish reliable and repeatable infrastructure practices</li></ul>
Education<ul><li>
Degree or equivalent experience in Computer Science, Information Technology, or a related field</li></ul>
Experience &amp; Knowledge<ul><li>
Hands-on experience with AWS in production environments</li><li>
Strong knowledge of core AWS services such as VPC, IAM, EC2, containers, storage, and monitoring</li><li>
Experience with infrastructure-as-code tools (e.g. Terraform, AWS CDK, or similar)</li><li>
Understanding of cloud networking, security, and identity management</li><li>
Experience supporting highly available, business-critical systems</li><li>
Familiarity with cloud migration initiatives</li><li>
Experience integrating infrastructure with CI/CD pipelines and automation tooling</li><li>
Exposure to containerised workloads or orchestration platforms (e.g. ECS, EKS)</li><li>
Experience working within regulated or security-focused environments</li><li>
Experience working with distributed teams</li><li>
AWS certifications (e.g. Solutions Architect, SysOps Administrator) are beneficial</li></ul>
Skills &amp; Competencies<ul><li>
Strong problem-solving and troubleshooting skills</li><li>
Clear communication across technical and non-technical teams</li><li>
Collaborative approach to working with engineering, security, and operations</li><li>
Ability to prioritise and manage workload effectively</li><li>
Adaptability in a changing environment</li><li>
Commitment to continuous learning and improvement</li></ul>
Why Join Us
Work on meaningful cloud transformation initiatives, helping to move critical platforms into AWS. Contribute to real-world infrastructure challenges while collaborating with experienced teams across the organisation.
Develop AWS expertise, expand technical capability, and operate in an environment that values collaboration, learning, and practical problem solving.
Our People Promise &ndash; Securitas Technology EVP
Alongside the opportunity to work on modern AWS infrastructure, you&rsquo;ll be part of an organisation that values people, growth, and purpose. We offer clear career pathways, growth opportunities, recognition for achievements, and a global, collaborative team.
As part of our EVP, we offer:<ul><li>
Career pathways and growth opportunities</li><li>
A global, values-driven team</li><li>
Recognition for achievements</li><li>
An inclusive, collaborative culture</li><li>
Purposeful work that makes the world safer</li><li>
Support for innovation and sustainability</li></ul>
Securitas Technology is committed to diversity and is an equal opportunity employer; all qualified applicants are welcome.</div>

AWS Infrastructure Engineer

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