algorithm design engineer

Copperleaf Technologies Inc.

<div><div><div><div><h2 class="jobSectionHeader">Company Description</h2></div><div>
IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters&ndash;at the Moment of Service&trade;. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we&rsquo;re flexible, we&rsquo;re innovative, and we&rsquo;re focused not only on how we can engage with our customers but also on how we can make a real change and have a worldwide impact. We help solve some of society&rsquo;s greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We&rsquo;re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we&rsquo;ll help you make your moment. Join Team Purple. Join IFS.</div></div><div><div><h2 class="jobSectionHeader">
Job Description</h2></div><div>
About the Role
As a Forward Deployed AI Engineer, you&rsquo;ll work directly with enterprise customers to deliver custom, production-ready AI solutions that solve real-world problems. You&rsquo;ll lead the design and deployment of intelligent agents across customer workflows&mdash;owning everything from discovery and prototyping to configuration, testing, and launch.
This is a fast-paced, hands-on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between our product and the customer&rsquo;s needs&mdash;ensuring rapid value delivery and laying the foundation for long-term success.
What You&rsquo;ll Do<ul><li>
Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows</li><li>
 Integrate IFS Loops platform with customer systems</li><li>
Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)</li><li>
Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption</li><li>
Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap</li><li>
Document technical decisions and hand off stable deployments to customer engineering or support teams</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Qualifications</h2></div><div>
What We&rsquo;re Looking For<ul><li>
2&ndash;5 years of experience in a software engineering, solutions engineering, or ML deployment role</li><li>
Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)</li><li>
Familiarity with building LLM applications, RAG systems, or conversational AI workflows</li><li>
Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)</li><li>
Ability to translate business problems into technical solutions&mdash;and deliver them fast</li><li>
Strong interpersonal skills; you&rsquo;re just as comfortable on a whiteboard with a customer as you are in code</li><li>
Bias toward action, ownership, and continuous learning in dynamic environments</li></ul>
Nice to Have<ul><li>
Background in SaaS, customer experience, support operations, or manufacturing systems</li><li>
Experience deploying AI in mission-critical environments</li><li>
Prior work with enterprise AI platforms or multi-agent orchestration</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Additional Information</h2></div><div>
What We&rsquo;re Offering<ul><li>
Salary Range: List $150,000 to $170,000 annually + bonus</li><li>
Flexible paid time off, including sick and holiday</li><li>
 Medical, dental, &amp; vision insurance</li><li>
 401K with Company contribution</li><li>
 Flexible spending accounts</li><li>
 Life insurance and disability benefits</li><li>
 Tuition assistance</li><li>
 Community involvement and volunteering events</li></ul> 
M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer</div></div></div> 

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Forward Deployed AI Engineer: IFS Loops

ByDesign Secure

This role is delivered within secure environments. Candidates must be eligible for UK Security Clearance (SC and DV) and hold UK Citizenship.Opening: Join the MissionAt ByDesign Secure, we design and deliver secure-by-default digital platforms for high‑assurance environments. We are currently building a new secure cloud platform based on Google Distributed Cloud (GDC) and are looking for a Security Engineer (SIEM) to lead the design and implementation of its security monitoring and observability capabilities.This role offers the opportunity to build a SIEM capability from the ground up, influence security architecture decisions, and directly support SOC operations protecting critical public‑sector services.About the OpportunityAs a Security Engineer (SIEM) at ByDesign Secure, you will be responsible for building and enhancing our security monitoring and detection capabilities across complex environments. You will design and maintain SIEM use cases, onboard and normalise data sources, and continuously tune detections to improve threat visibility and response.Working closely with incident response and platform teams, you will turn security data into actionable insight, helping to strengthen detection coverage, reduce noise, and advance the organisation&rsquo;s overall security maturity.Role Purpose<ul><li>As a Security Engineer, you will be responsible for designing, building, and operating the Security Information and Event Management (SIEM) and security observability stack for a new GDC‑based platform.</li><li>You will:</li><li>Define how security logs, metrics, alerts, and telemetry are collected, processed, retained, and visualised.</li><li>Establish a cloud-native SIEM tool and monitoring capability.</li><li>Integrate cloud‑native monitoring with existing on‑premise SOC tooling.</li><li>Enable SOC analysts by providing reliable, actionable security insights.</li><li>You will work closely with cloud engineers, security architects, SOC teams, and external vendors to ensure the solution meets security, operational, and compliance requirements.</li></ul>What You&rsquo;ll Be DoingSIEM Architecture &amp; Design<ul><li>Work with security and solution architects to design the end‑to‑end SIEM architecture for a secure Google Distributed Cloud (GDC) environment.</li><li>Define log, event and telemetry standards across platform, infrastructure, Kubernetes, and application layers.</li><li>Decide which data sources are monitored locally versus forwarded to an existing on‑prem SIEM.</li></ul>SIEM Implementation &amp; Integration<ul><li>Deploy Elastic SIEM using standard or shared Kubernetes clusters where appropriate.</li><li>Configure secure log forwarding from GDC components to an on‑prem SIEM over dedicated, encrypted network links.</li><li>Integrate cloud audit logs, Kubernetes logs, workload logs, and security tooling into Elastic and on‑prem platforms.</li></ul>Detection Engineering &amp; SOC Enablement<ul><li>Implement detections‑as‑code, version‑controlled and automated through CI/CD pipelines.</li><li>Create and tune detection rules, alerts, and dashboards for SOC analysts.</li><li>Align detections with threat intelligence and playbooks (e.g. Mandiant‑aligned SOC workflows).</li></ul>Observability &amp; Troubleshooting<ul><li>Support monitoring of logs, metrics, and security signals to aid both security response and operational debugging.</li><li>Enable Platform Admins and Application Operators to self‑serve diagnostics while maintaining security boundaries.</li></ul>Documentation &amp; Guidance<ul><li>Produce clear guidance for:</li><li>Platform Administrators configuring SIEM integrations</li><li>Application teams onboarding workloads and logs</li><li>SOC analysts using dashboards, alerts, and queries</li><li>Contribute to runbooks, operational procedures, and incident response documentation.</li></ul>Security &amp; Compliance<ul><li>Ensure logging and monitoring meet UK Government and high‑assurance security requirements.</li><li>Support audits, assurance activities, and continuous improvement of the monitoring posture.</li></ul>What You&rsquo;ll BringEssential Skills &amp; Experience<ul><li>Strong experience as a Security Engineer, Detection Engineer or SIEM Engineer.</li><li>Hands‑on experience designing or operating SIEM solutions in cloud or hybrid environments.</li><li>Practical knowledge of Elastic SIEM / Elastic Stack, including:</li><li>Indexing and ingest pipelines</li><li>Detection rules and alerts</li><li>Dashboards and visualisations</li><li>Experience working with Kubernetes environments and their logging/monitoring patterns.</li><li>Familiarity with secure log forwarding, encryption, and network‑restricted environments.</li><li>Ability to work closely with SOC teams and translate security requirements into technical implementations.</li></ul>Cloud &amp; Platform Knowledge<ul><li>Experience with Google Cloud Platform (GCP) or Google Distributed Cloud (GDC).</li><li>Understanding of cloud audit logs, identity logs, and platform‑level telemetry.</li><li>Experience deploying tools through cloud marketplaces or CI/CD pipelines.</li></ul>Ways of Working<ul><li>Comfortable working in high‑assurance, regulated environments.</li><li>Strong documentation and communication skills.</li><li>Able to work independently and take ownership of complex security integrations.</li></ul>Bonus Points For<ul><li>Existing UK Government Security Clearance (SC or above)</li><li>Hands‑on experience with Elastic Cloud on Kubernetes (ECK).</li><li>Experience implementing detections as code using Git, CI/CD, and infrastructure‑as‑code.</li><li>Knowledge of threat frameworks.</li><li>Familiarity with UK Government security standards and assurance processes</li></ul>Clearance Requirements:<ul><li>This role requires either an existing Security Clearance (SC level) or for one to be passed before commencement. There must be a willingness to undergo Developed Vetting (DV)</li></ul>Work Location: Hybrid remote in LondonJob Types: Temporary, Fixed term contractJob Types: Fixed term contract, TemporaryPay: &pound;625.00 per dayApplication question(s):<ul><li>Do you currently hold active UK SC clearance? </li><li>Do you hold UK nationality? (Required due to client security restrictions) </li><li>Are you eligible and willing to undergo UK SC/DV clearance for this role? (Applications without this cannot be considered)</li><li>Does your delivery approach allow for on-site presence in London when required (typically around 3 days per week)?</li></ul>Work Location: Hybrid remote in London

Security Engineer (SIEM) – SC Eligible – Government Projects

Accenture

<div><h2 class="jobSectionHeader">Description</h2>
You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.
As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.
This sits at the heart of the AI engineering talent market, demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability</li><li>
Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets</li><li>
Integrate and abstract across multiple LLM providers &mdash; OpenAI, Anthropic, Vertex AI, and open-source models &mdash; with fallback routing, token, cost, and latency management</li><li>
Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring</li><li>
Embed directly with client engineering teams to design, prototype, and deploy agentic solutions &mdash; workshops, proofs of concept, code-with sessions, and architecture walkthroughs</li><li>
Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster</li><li>
Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms</li></ul></div>
 
<div><h2 class="jobSectionHeader">Basic Qualifications</h2><ul><li>
5+ years of software engineering experience in production environments</li><li>
Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in a production environment &mdash; non-negotiable</li><li>
Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent &mdash; at production depth, not tutorial level</li><li>
Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs</li><li>
RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering</li><li>
LLMOps fundamentals: eval harness design, prompt versioning, and production observability</li><li>
Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)</li><li>
Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience</li><li>
Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure</li></ul></div>

AI Native SW Engineering Specialist

Client Server

<div>
 
 
 
 Software Engineer / Developer (Python SQL) London to &pound;150k+
 
 
 
 
 
 
 
 Are you a data savvy Software Engineer with strong Python coding skills?
 
 
 
 
 
 You could be joining a Hedge Fund with complex work and substantial bonus earning potential.
 
 
 
 
 
 As a Software Engineer you will join a growing team building a modern medallion architecture data platform, working across everything from data engineering and distributed systems to infrastructure and frontend. This is a hands-on role in a small, collaborative team where you'll have real ownership and impact.
 
 
 
 
 
 
 Your role:
 
 
 <ul>
 <li>
 Design and build data platform components using Python
 </li>
 <li>
 Develop and optimise ETL pipelines, Data Lakes/ Lakehouses and distributed systems
 </li>
 <li>
 Improve infrastructure, observability and CI/CD practices
 </li>
 <li>
 Maintain and evolve existing systems (microservices, ETL, Excel add-ins)
 </li>
 <li>
 Support platform operations, ensuring reliability and performance
 </li>
 </ul>
 
 
 
 
 
 Location / WFH:
 
 
 
 You'll join colleagues in the impressive Central London office on a fulltime basis, Monday to Friday.
 
 
 
 
 
 
 About you:
 
 
 <ul>
 <li>
 You have strong backend development experience with Python
 </li>
 <li>
 You have experience of working with financial or market data
 </li>
 <li>
 You have experience of designing and operating data-intensive and distributed systems
 </li>
 <li>
 You have a strong knowledge of databases (Relational, NoSQL and Columnar)
 </li>
 <li>
 You're keen to take ownership and work across the full development lifecycle
 </li>
 <li>
 You're collaborative and pragmatic with strong stakeholder management skills
 </li>
 <li>
 You have achieved a 2.1 or above in a STEM discipline, likely to have studied to MSc
 </li>
 </ul>
 
 
 
 
 
 What's in it for you:
 
 
 
 As a Software Engineer / Developer (Python SQL) you will receive a competitive package:
 
 <ul>
 <li>
 Salary to &pound;150k
 </li>
 <li>
 Bonus
 </li>
 <li>
 Pension
 </li>
 <li>
 Self development and career progression opportunities
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to find out more about this Software Engineer / Developer (Python SQL) opportunity.
 
</div>

Software Engineer Python SQL - Market Data

Athsai

<div>
 
 **Employment Type:** Permanent
 
 
 **Salary:** Up to &pound;75k
 
 
 **Location:**
 
 
 in the Central London
 
 
 
 
 
 **Work Arrangement:** In-office only, five days a week.
 
 
 
 ---
 
 
 
 
 
 **Job Title:** Data Engineer
 
 
 
 
 
 **Experience Required:** 8 Years
 
 
 
 
 
 **Role Overview:**
 
 
 
 
 
 We are seeking a Data Engineer to design and implement scalable data solutions, including real-time and ETL/ELT data pipelines. Responsibilities include optimizing our data warehouse, creating Power BI reports, and developing AI-driven solutions using OpenAI APIs.
 
 
 
 
 
 **Key Responsibilities:**
 
 
 
 
 
 - Design and implement robust real-time data pipelines from diverse sources.
 
 
 - Maintain a high-performance data warehouse for reporting and analytics.
 
 
 - Develop insightful Power BI dashboards and reports for stakeholders.
 
 
 - Use Azure Data Factory, Azure Functions, and Logic Apps for data integration.
 
 
 - Employ Python and SQL for data transformation and analysis.
 
 
 - Leverage OpenAI APIs for AI/ML solutions.
 
 
 - Collaborate with teams to align data strategy with business goals.
 
 
 - Ensure data quality, consistency, and compliance.
 
 
 
 
 
 **Required Qualifications:**
 
 
 
 
 
 - 7-8 years in Data Engineering, Data Architecture, or related roles.
 
 
 - Experience with ETL/ELT pipelines and complex data ecosystems.
 
 
 - Proficiency in Python and strong SQL skills.
 
 
 - Familiarity wit
 
 h Azure services (Data Factory, Logic Apps, etc.).
 
 
 
 - Expertise in Power BI for data modeling and visualization.
 
 
 - Experience with OpenAI APIs or similar services.
 
 
 - Understanding of data warehousing and data governance.
 
 
 
 
 
 **Preferred Qualifications:**
 
 
 
 
 
 - Knowledge of DevOps practices and CI/CD pipelines.
 
 
 - Familiarity with cloud-native data platforms (e.g., Databricks).
 
 
 - Understanding of data privacy regulations (e.g., GDPR).
 
</div>

Data Engineer - Azure/ADF

LiveKit

<div><h2 class="jobSectionHeader">About LiveKit</h2>
LiveKit is building the infrastructure layer for the agentic era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe AI agents in production. Founded in 2021, LiveKit powers voice and agentic AI applications for OpenAI, Salesforce, Spotify, Meta, and tens of thousands of other developers, collectively facilitating billions of calls each year.<h2 class="jobSectionHeader">
About This Role</h2>
LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform.
This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production.
You'll work alongside customers' engineering teams to help them successfully deploy and scale applications built on LiveKit &mdash; designing architectures, building integrations, debugging production issues, and developing reference implementations that demonstrate best practices.
This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You'll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform.
Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit.<h2 class="jobSectionHeader">
You'll Thrive Here If You:</h2><ul><li>
are obsessed with helping developers succeed</li><li>
are known as the go-to person for solving tricky technical issues</li><li>
work hard and can move fast without sacrificing quality</li><li>
care deeply about polish, detail, and clear communication</li><li>
are a fast learner, frequently picking up new tools, systems, and skills</li></ul><h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Work directly (remotely or on-site when necessary) with customer engineering teams to design and implement real-time applications built on LiveKit</li><li>
Design scalable architectures for voice AI, real-time media, and developer platform use cases</li><li>
Build prototype integrations, reference implementations, and sample applications to accelerate customer development</li><li>
Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems</li><li>
Debug and troubleshoot complex technical issues in production environments</li><li>
Lead technical workshops and architecture sessions with developers and product teams</li><li>
Translate customer needs into technical insights that inform product and platform development</li><li>
Partner with Product and Engineering to improve developer experience, documentation, and tooling</li><li>
Contribute code, examples, or improvements to LiveKit's open-source ecosystem when helpful</li><li>
Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
Strong engineering background with 5+ years of experience in backend or infrastructure engineering</li><li>
Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++</li><li>
Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure</li><li>
Experience building or integrating developer platforms or real-time systems</li><li>
Able to quickly understand complex systems and debug issues in real-world environments</li><li>
Strong communicator who can collaborate directly with customer engineering teams and internal product teams</li><li>
Comfortable operating in fast-paced, low-process environments where ownership and initiative matter</li><li>
Excited to work hands-on with customers solving complex technical implementation challenges</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure</li><li>
Familiarity with voice AI, conversational agents, or AI infrastructure</li><li>
Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer</li><li>
Experience contributing to open-source projects or developer ecosystems</li><li>
Previous experience building with or integrating LiveKit</li></ul><h2 class="jobSectionHeader">
Our Commitment to You</h2><ul><li>
An opportunity to build something truly impactful to the world</li><li>
Contribute to open source alongside world-class engineers</li><li>
Competitive salary and equity package</li><li>
Health, dental, and vision benefits</li><li>
Flexible vacation policy</li></ul>
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.
Compensation Range: &pound;126K - &pound;185K</div>

Forward Deployed Engineer

Oregon Systems

Job Title-DevOps EngineerWork Authorization- Citizen or No SponsorshipJob SummaryWe are seeking a highly skilled DevOps Engineer to join our dynamic technology team. The successful candidate will be responsible for designing, implementing, and maintaining scalable, reliable, and secure cloud and on-premise infrastructure. This role requires a strong understanding of software development lifecycle (SDLC), continuous integration and deployment (CI/CD), system administration, and cloud computing platforms. The DevOps Engineer will collaborate closely with development, QA, and operations teams to streamline processes, optimise system performance, and ensure high availability of services. Experience with a broad range of tools such as Docker, Kubernetes, Terraform, Jenkins, and cloud providers like AWS or Azure is essential.Responsibilities<ul><li>Design, develop, and maintain automated deployment pipelines using tools such as Jenkins, GitLab CI/CD, or TFS.</li><li>Manage containerisation technologies including Docker and Kubernetes to facilitate scalable microservices architectures.</li><li>Implement infrastructure as code (IaC) using Terraform, Ansible, Chef, Puppet or similar tools to provision and manage cloud infrastructure and virtualised environments.</li><li>Monitor system performance and troubleshoot issues using tools like New Relic, Splunk, or Elasticsearch to ensure optimal operation of applications and infrastructure.</li><li>Maintain and optimise cloud environments on AWS, Azure or Google Cloud Platform by managing resources such as S3 buckets, virtual machines, load balancers, and networking components.</li><li>Collaborate with development teams during requirements gathering to design scalable solutions aligned with business needs.</li><li>Ensure disaster recovery plans are in place and tested regularly to minimise downtime during outages or failures.</li><li>Manage configuration management across multiple environments including Linux (CentOS, UNIX) and Windows Server platforms.</li><li>Implement security best practices including firewall configuration, DNS management, incident response procedures and incident management protocols.</li><li>Support software deployment activities across various environments ensuring smooth release cycles while maintaining system stability.</li></ul>Skills<ul><li>Extensive experience with containerisation technologies such as Docker and orchestration tools like Kubernetes.</li><li>Proficiency in scripting languages including Bash (Unix shell), PowerShell, Python, Groovy, Perl or Ruby for automation tasks.</li><li>Strong knowledge of cloud computing platforms including AWS (S3, EC2), Azure or Google Cloud Platform along with cloud infrastructure management tools like Terraform or OpenStack.</li><li>Familiarity with CI/CD pipelines using Jenkins, GitHub Actions or GitLab CI/CD integrated with version control systems such as Git or SVN.</li><li>Experience managing databases such as MySQL, Microsoft SQL Server or Oracle; knowledge of SQL/PLSQL is advantageous.</li><li>Understanding of web servers like NGINX or WebSphere; experience with web services (REST/SOAP) is desirable.</li><li>Knowledge of distributed systems architecture including microservices design patterns and API management.</li><li>Ability to troubleshoot complex software issues related to system performance or deployment failures efficiently.</li><li>Strong grasp of network fundamentals including TCP/IP protocols, DNS configuration and firewall management.</li><li>Familiarity with monitoring tools such as New Relic or Splunk for incident response and system health checks.</li><li>Experience working within SDLC frameworks ensuring quality assurance through automated testing tools and release management processes.</li></ul>This position offers an exciting opportunity for a motivated professional eager to work in a fast-paced environment that values innovation and continuous improvement in technology operations. The ideal candidate will demonstrate excellent organisational skills combined with a proactive approach to problem-solving in complex technical landscapes.Pay: &pound;31,955.47-&pound;95,614.58 per yearWork Location: In person

DevOps Engineer

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