software engineer

ai engineer

senior software engineer

analytics engineer

lead software engineer

aws software development 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

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

BGBx

<div><div>About Us

At BGBx, we're driven by a simple idea: breakthrough thinking creates breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges.

Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle. The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day.

If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx.</div>
AI Software Engineer

POSITION SUMMARY

The AI Software Engineer designs, develops, and improves the AI-enabled applications, agents, copilots, integrations, and workflow automations that bring BGB's AI operating vision to life. This role converts product requirements and business workflows into working software that supports operational efficiency, knowledge management, content workflows, claims reuse, strategic planning, production standardization, and measurement. The engineer is responsible for building solutions that are usable, maintainable, governed, and ready to scale across agency teams.

The AI Software Engineer designs and builds the internal AI applications, agents, skills, and integrations that turn strategy into repeatable execution.
<div>
<div><div><div>Primary Mission

Create production-ready AI solutions that automate high-value workflows and improve speed, quality, consistency, and reuse.</div><div> 

Key Partners

AI Product Manager, Agentic Platform Architect, UX/UI, Medical, Strategy, Editorial, Production, Analytics, functional SMEs, implementation partners.</div><div> 

Success Measures

Working agents and apps, workflow cycle-time reduction, adoption, reusable components, quality checks, measurable efficiency, and safe handoff to teams.</div></div> 
</div>
</div>Responsibilities
<ul>
<li>Build and maintain internal AI-enabled applications, agents, copilots, workflow automations, GPT skills, and reusable service components.</li>
<li>Develop core capabilities connected to the AI operating model, including Orchestration Engine workflows, Claims Library functionality, Cortex/memory use cases, 3D Science strategic tools, editorial/copy assistance, and production automation.</li>
<li>Develop integrations between LLM platforms, enterprise systems, data sources, content repositories, project workflows, design tools, analytics platforms, and knowledge bases.</li>
<li>Build RAG systems, prompt orchestration workflows, AI service layers, embedding pipelines, structured output patterns, and reusable agent tools.</li>
<li>Develop APIs, middleware, backend services, event triggers, data connectors, and automation logic that allow agents to operate across systems safely and consistently.</li>
<li>Implement guardrails, validation logic, hallucination checks, source attribution, human-in-the-loop review, approval routing, permissions, and governance controls.</li>
<li>Optimize prompt workflows, model selection, latency, performance, reliability, cost efficiency, and token usage for production-level AI workflows.</li>
<li>Collaborate with Product, UX, SMEs, and end users to prototype, test, refine, and scale AI solutions that solve real workflow needs.</li>
<li>Participate in architecture reviews, sprint planning, code reviews, QA processes, documentation, and release management.</li>
<li>Maintain reusable code libraries, prompt templates, evaluation scripts, agent patterns, and technical documentation that accelerate future AI development.</li>
</ul>
Qualifications
<ul>
<li>5+ years of software engineering experience, preferably in enterprise applications, automation platforms, data-driven products, or AI-enabled tools.</li>
<li>Experience using AI/LLM APIs such as OpenAI, Anthropic, Azure OpenAI, or comparable platforms.</li>
<li>Proficiency in Python, TypeScript, JavaScript, or other modern software engineering languages and frameworks.</li>
<li>Experience building APIs, middleware, backend services, cloud-based applications, and secure integrations with third-party systems.</li>
<li>Familiarity with vector databases, embeddings, RAG architecture, agent frameworks, prompt engineering, structured outputs, and AI evaluation methods.</li>
<li>Understanding of software quality practices, testing, monitoring, CI/CD, security controls, and maintainable documentation.</li>
<li>Ability to partner with non-technical stakeholders and translate workflow pain points into practical AI-enabled software solutions.</li>
<li>Demonstrated experience using AI tools as an active part of your development or product workflow</li>
<li>Converts BGB's AI vision into tangible products, workflows, and agents that teams can actually use.</li>
<li>Supports the move from manual, labor-intensive execution to standardized, AI-assisted and agentic delivery.</li>
<li>Creates reusable technical patterns that help the agency improve margin, consistency, speed, and knowledge reuse over time.</li>
</ul>
Salary Range: &pound;65,000 - &pound;75,000 GBP<div>
What We Offer

At BGBx, we invest in our people because exceptional talent drives exceptional work. We provide a competitive rewards package designed to support your health, well-being, professional growth, and life outside of work.

Our benefits package typically includes health care insurance, retirement plans, generous paid time off and holidays, wellness benefits, life insurance, learning and development opportunities, and other resources that support our employees throughout their careers. Additional benefits may be available based on your location. Beyond benefits, you'll find a culture built on collaboration, innovation, inclusion, and the opportunity to make a meaningful impact on healthcare and the people it serves.

BGBx is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, sex, age, national origin, citizenship status, sexual orientation, disability, veteran status or any category or class of person protected by law.</div></div>

Moody's

<div>At Moody's, we unite the brightest minds to turn today&rsquo;s risks into tomorrow&rsquo;s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are&mdash;with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody&rsquo;s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we&rsquo;re advancing AI to move from insight to action&mdash;enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
<h4 class="jobSectionHeader">
Skills and Competencies</h4><ul><li>
3+ years of experience in backend software development with a focus on Node.js, building scalable and production-grade systems</li><li>
Hands-on experience with AI applications, including LLM implementations, retrieval-augmented generation, prompt optimization, and fine-tuning methodologies</li><li>
Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production</li><li>
Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices</li><li>
Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval</li><li>
Familiarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred</li><li>
Excellent problem-solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals</li><li>
Effective communication and collaboration skills, with demonstrated experience working across cross-functional teams</li></ul><h4 class="jobSectionHeader">
Education</h4><ul><li>
Bachelor&rsquo;s degree or higher in Computer Science, Software Engineering, or a related field.</li></ul><h4 class="jobSectionHeader">
Responsibilities</h4>
As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production-grade software solutions that leverage cutting-edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js &amp; Python, while also integrating machine learning workflows and AI-driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities<ul><li>
Design and implement AI-driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents</li><li>
Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning</li><li>
Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems</li><li>
Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI 
Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high-volume inference workloads</li><li>
Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems</li><li>
Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models</li><li>
Lead the implementation of autonomous agents capable of multi-step reasoning, decision-making, and tool use in production environments</li><li>
Participate in design reviews, write high-quality code, and contribute to documentation to ensure team-wide efficiency and maintainability</li><li>
Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes</li></ul>
About the Team
Our Innovation team is responsible for building internal and external solutions leveraging cutting-edge machine learning technology, including LLMs, AI Agents and NLP
The group is made up of a diverse set of professionals spanning a wide range of experience levels. We&rsquo;re organized into agile squads, each focused on building and scaling innovative AI-driven products that enhance productivity and deliver measurable value
Collaboration is a cornerstone of how we operate. Engineers and data scientists work closely together to experiment, iterate, and deploy solutions in a fast-paced environment. Joining our team means contributing to an open and supportive culture where learning and knowledge-sharing are encouraged, and where every team member has the opportunity to make a tangible impact

Moody&rsquo;s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. 
 
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody&rsquo;s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.</div>

Moody's Corporation

<div>
 At Moody's, we unite the brightest minds to turn today&rsquo;s risks into tomorrow&rsquo;s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are&mdash;with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody&rsquo;s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we&rsquo;re advancing AI to move from insight to action&mdash;enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
 
 
 If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
 
 
 
 Skills And Competencies
 
 
 
 <ul>
 <li>
 3+ years of experience in backend software development with a focus on Node.js, building scalable and production-grade systems
 </li>
 <li>
 Hands-on experience with AI applications, including LLM implementations, retrieval-augmented generation, prompt optimization, and fine-tuning methodologies
 </li>
 <li>
 Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production
 </li>
 <li>
 Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices
 </li>
 <li>
 Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval
 </li>
 <li>
 Familiarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred
 </li>
 <li>
 Excellent problem-solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals
 </li>
 <li>
 Effective communication and collaboration skills, with demonstrated experience working across cross-functional teams
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in Computer Science, Software Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production-grade software solutions that leverage cutting-edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js &amp; Python, while also integrating machine learning workflows and AI-driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities
 
 
 <ul>
 <li>
 Design and implement AI-driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents
 </li>
 <li>
 Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning
 </li>
 <li>
 Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems
 </li>
 <li>
 Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high-volume inference workloads
 </li>
 <li>
 Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems
 </li>
 <li>
 Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models
 </li>
 <li>
 Lead the implementation of autonomous agents capable of multi-step reasoning, decision-making, and tool use in production environments
 </li>
 <li>
 Participate in design reviews, write high-quality code, and contribute to documentation to ensure team-wide efficiency and maintainability
 </li>
 <li>
 Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Our Innovation team is responsible for building internal and external solutions leveraging cutting-edge machine learning technology, including LLMs, AI Agents and NLP
 
 
 The group is made up of a diverse set of professionals spanning a wide range of experience levels. We&rsquo;re organized into agile squads, each focused on building and scaling innovative AI-driven products that enhance productivity and deliver measurable value
 
 
 Collaboration is a cornerstone of how we operate. Engineers and data scientists work closely together to experiment, iterate, and deploy solutions in a fast-paced environment. Joining our team means contributing to an open and supportive culture where learning and knowledge-sharing are encouraged, and where every team member has the opportunity to make a tangible impact
 
 
 Moody&rsquo;s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
 
 
 Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody&rsquo;s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
</div>

Oliver Bernard

<div>
 
 
 DevOps Engineer - Publishing - AWS, Kubernetes, Terraform
 
 
 
 
 
 
 Oliver Bernard are currently working with a Publishing client of ours who are looking for strong a DevOps Contractor to join their team as part of a transformational revamp on their platform.
 
 
 
 
 
 You&rsquo;ll be expected to work in cross-functional teams, devised of DevOps Engineer, Security Engineers and Full-Stack developers, on a project to help scale the DevOps and Engineering practices for the broader business.
 
 
 
 
 
 To be considered for this position you must have experience with the following:
 
 
 
 
 <ul>
 <li>
 Strong experience with AWS and AWS Services
 </li>
 <li>
 Containerisation with Docker and Kubernetes
 </li>
 <li>
 History of IaC with Terraform
 </li>
 <li>
 Strong experience across Monitoring, Alerting, Observability and Tracing
 </li>
 <li>
 Comfortable working closely with Software Development teams
 </li>
 </ul>
 
 
 
 
 This position can offer &pound;550-600 p/day, inside IR35, for an initial 6 month contract, and operates a hybrid working model (with 2 office days p/week).
 
 
 
 
 
 
 DevOps Engineer - Publishing - AWS, Kubernetes, Terraform
 
 
</div>

DevOps Engineer

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1078 aws software development engineer jobs In London

AI Software Engineer

AI Software Engineer London

AWS Infrastructure Engineer

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