Automation & AI Developer

We are seeking an experienced Solution Design Lead, who will support analysis of new solutions with technical expertise within domain / platform architecture in Service Business Solutions Team in close collaboration with business partners and various IT teams.

How You Will Make An Impact

• Partner with the Technical Architects and Enterprise Architects to define and continuously evolve the end-to-end solution and platform/s strategy, ensuring alignment between business objectives, processes, and technology capabilities.
• Support the Program Manager by translating complex business demands into fit-for-purpose solution designs, evaluating functional, architectural, and integration implications.
• Lead the solution design and option assessment activities, recommending optimal solutions across Salesforce, SAP (S/4HANA), MuleSoft, AI-based solutions, and cloud-native architectures.
• Identify and assess new tools, platforms, and technologies to address emerging or unique business requirements within the Service IT landscape.
• Support commercial and delivery decisions by evaluating supplier proposals, solution architectures, and delivery approaches, recommending the most effective way forward.
• Own and maintain the overall solution architecture, application landscape, and future-state integration blueprint for Business Process Solutions within the IT landscape.
• Review and validate supplier deliverables against business requirements, functional design, and architectural expectations, providing timely and constructive feedback.
• Actively contribute to innovation and proof-of-concept (PoC) initiatives, working hands-on with architects and developers to validate new concepts and emerging technologies.
• Act as a key bridge between business stakeholders and IT, leveraging strong integration knowledge and stakeholder management skills.

Your Background

• 10+ years of experience in solution, application, or platform architecture within large enterprise environments.
• Strong business process knowledge in at least two or more of the following areas: Installed Base Management, Field Service Management, Asset Performance Management, Tools Management, Customer Portal, Sites Management.
• Hands-on experience in ecosystems involving Salesforce, SAP S/4HANA, MuleSoft, and cloud-based integrations. Strong understanding of integration patterns, API-led architectures, and event-driven solutions.
• Experience leading or strongly influencing technical teams, or deep development background (5+ years) with readiness for solution ownership.
• Solid technical foundation, ideally with exposure to .NET/C#, SQL, JavaScript, integration layers, DevOps tooling and practices, including code repositories, branching strategies, and CI/CD pipelines (e.g., Azure DevOps).

More about us

We pride ourselves on offering a holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development. We want you to truly thrive with us, in work and out.

We can provide more information during the recruitment process.

We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the employment contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully.

• Applicable only for Poland location align with local law regulations.

Publication date : 2026-07-28

We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.

We're looking for a Senior DevOps/SRE Engineer to join our DevOps team and take end-to-end ownership of our cloud and on-premise environments. You will be a key contributor to building scalable, reliable, and secure systems that power our trading platform at a global scale.

This is a hands-on role: you'll architect and operate cloud infrastructure, drive automation and observability excellence, build robust CI/CD pipelines, and help shape the engineering culture around reliability and operational best practices.

Responsibilities:

• Design, deploy, and maintain scalable cloud infrastructure on AWS, ensuring high availability, performance, and security across all environments
• Own and evolve Kubernetes cluster management — including bare-metal deployments — and ensure reliable containerised workloads using Docker and Helm
• Build and maintain CI/CD pipelines using GitLab CI, incorporating GitOps principles with FluxCD or ArgoCD to streamline and automate delivery workflows
• Define and manage Infrastructure as Code using Terraform, ensuring all infrastructure changes are version-controlled, repeatable, and reviewed
• Lead monitoring and observability initiatives: implement and maintain dashboards, alerting, and log pipelines using VictoriaMetrics/Prometheus, Grafana, and the ELK stack
• Operate and optimize Apache Kafka ecosystems, including Strimzi, Kafka Connect, and MirrorMaker, to support real-time data pipelines
• Drive incident response, root cause analysis, and post-mortem culture to continuously improve system reliability
• Collaborate closely with Engineering, Security, and Product teams to embed DevOps best practices across the organisation
• Mentor and guide junior engineers, raising the overall engineering bar for infrastructure reliability and automation

Requirements:

• 6+ years of hands-on experience in a DevOps or SRE role
• Strong knowledge of AWS services, including: VPC, EC2, EKS, S3, ECR, EBS, RDS, ElastiCache, IAM, KMS, Secrets Manager, SSM Parameter Store, CloudWatch, MSK, SNS, SQS, Route 53, Direct Connect, Transit Gateway, and ELB/ALB/NLB
• Solid Linux administration skills with deep understanding of system internals
• Deep expertise in Kubernetes, including bare-metal cluster deployment and day-2 operations. Proficiency with Docker and Helm
• Hands-on experience with Terraform as a primary Infrastructure as Code tool — writing, reviewing, and maintaining production-grade modules
• Proven experience with GitLab CI for building and maintaining CI/CD pipelines; familiarity with GitOps practices using FluxCD or ArgoCD
• Strong background in monitoring and observability: VictoriaMetrics or Prometheus, Grafana, and the ELK stack; solid understanding of log collection and processing with Fluentbit, Fluentd, and Logstash
• Experience operating and managing Apache Kafka ecosystems, including Strimzi, Kafka Connect, and MirrorMaker
• Experience with Ansible for configuration management; experience with AWX is a plus
• Proficiency in scripting and automation with Bash, Python, and Go
• Strong communication skills and the ability to collaborate cross-functionally in a fast-paced, regulated environment
• English language proficiency

What you will get in return:

• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated
• Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock
• Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry
• Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team
• Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
• Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
• Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community

Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are looking for an experienced Senior Software Engineer - Python / AI Engineer to join the Internal Development Team.

In this role, you will design, develop, and maintain internal tools, APIs, AI-driven automation workflows, and system integrations that improve operational efficiency across Capital.com. The role is strongly focused on building practical AI solutions, including AI agents, agent workflows, automated decision-support flows, and integrations with internal and external systems.

You will collaborate closely with Engineering, Security, Operations, Compliance, Finance, and other business teams to deliver secure, reliable high-quality software that supports internal workflows, data integration, and emerging AI-driven initiatives.

Key Responsibilities:

• Develop and maintain internal services, tools, APIs, automation scripts, and AI-enabled workflows
• Design and implement AI agents, multi-step agent flows, and automation pipelines to support internal business processes
• Build integrations with internal and third-party systems, including financial platforms, payment providers, reporting tools, Jira, Confluence, Okta, Slack, AWS, and other enterprise systems
• Develop AI-powered features such as intelligent data processing, document analysis, classification, anomaly detection, workflow automation, and decision-support tools
• Integrate LLMs and AI services into internal applications using APIs, orchestration frameworks, vector databases, and retrieval-augmented generation where appropriate
• Create and maintain automation flows connecting AI agents, APIs, databases, notifications, and approval workflows, local and remote MCP servers
• Investigate, troubleshoot, and resolve issues related to financial integrations, API failures, data inconsistencies, automation errors
• Write clean, efficient, secure, and well-documented code following software engineering best practices
• Implement CI/CD pipelines and automated testing frameworks. Optimize system performance and ensure reliability and security. Contribute to architectural decisions and participate in code reviews
• Optimize performance, reliability, observability, and security of internal tools and integrations
• Support architectural decisions, participate in code reviews, and contribute to engineering standards
• Continuously identify opportunities to improve manual processes through automation, AI, and better system integrations

Requirements:

• 3-5+ years of professional experience as a Python Developer, AI Engineer
• Strong proficiency in Python 3.x, including asynchronous programming, REST API development
• Experience with frameworks such as FastAPI, FastMCP, Flask, or Django
• Practical experience building or integrating AI-powered solutions in production or near-production environments
• Experience working with LLM APIs and AI platforms, such as OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, or similar
• Experience designing AI agent workflows, tool-calling flows, prompt-driven automation, or multi-step AI orchestration
• Understanding of AI engineering concepts such as prompt design, retrieval-augmented generation, embeddings, vector databases, structured outputs, evaluation, and guardrails
• Ability to integrate AI capabilities into existing services, internal tools, and automation workflows
• Strong experience with API integrations, including authentication, OAuth2, webhooks, error handling, retries, rate limits, and secure data exchange
• Solid understanding of SQL and relational databases such as PostgreSQL or MySQL
• Experience troubleshooting API integrations, data synchronization issues, automation failures, and production defects
• Basic proficiency in HTML, CSS, and JavaScript to support lightweight frontend interfaces or internal admin dashboards
• Experience with Docker and Kubernetes
• Familiarity with GitLab CI/CD or similar CI/CD pipelines
• Experience with financial data processing, reconciliation, reporting automation, or transaction monitoring
• Understanding of risk, compliance, and operational controls in financial environments
• Understanding of secure coding practices, secrets management, access control, and secure data handling
• Strong analytical, debugging, and problem-solving skills
• Excellent communication skills and ability to work with both technical and non-technical stakeholders

Preferred:

• Experience working with AWS services
• Experience with Kubernetes deployments and management
• Experience integrating with enterprise tools (Jira API, Okta API, Slack API)
• Familiarity with infrastructure as code and DevOps practices
• Exposure to logging and monitoring stacks (ELK, Prometheus, Grafana)
• Understanding of secure coding practices and compliance requirements in fintech or regulated environments
• General understanding of the math and algorithms behind AI and related technologies

What you will get in return:

• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated
• Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock.
• Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance
• Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry
• Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team
• Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
• Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
• Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community

Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are looking for a
Corporate Security Engineer, AI
to own the security of how artificial intelligence is adopted and operated across Capital.com.

AI tools are already embedded in how the company works — and the security risks they introduce are unlike those any other team currently owns. This role sits in Corporate Security and is responsible for AI system integration security, AI-specific threat detection, data protection in AI contexts, shadow AI governance, and the regulatory compliance obligations that AI adoption brings with it.

The ideal candidate understands how LLMs, RAG systems, and AI automation tools actually work — and can apply that understanding to evaluate what risks they introduce, design controls that hold, and build the governance framework that makes AI adoption secure and auditable in a regulated financial services environment.

Key Responsibilities:
AI/ML Security — Integrations & Environment:

• Review and assess the security of AI system integrations across the corporate environment: LLM deployments, RAG pipelines, AI APIs, and AI-enabled automation tools
• Evaluate configuration, access controls, and data flows of AI systems — the security of how AI is deployed and connected to corporate data and infrastructure
• Conduct threat modelling for AI integrations and define secure deployment patterns for AI-powered tools
• Support security reviews for new AI initiatives, tools, and vendor integrations before they reach production

AI Threat Detection & Mitigation:

• Identify and mitigate AI-specific threats: prompt injection & jailbreaks, model poisoning & data contamination, adversarial attacks, training-data leakage, insecure model serialisation, excessive permissions in AI agents
• Develop guardrails, content filters, and output-validation mechanisms
• Implement monitoring for anomalous AI behaviour across integrated systems

AI Data Egress & Data Protection:

• Own data protection controls in AI contexts: govern what data reaches LLM integrations, AI APIs, and AI-enabled tools
• Design and maintain DLP policies specifically for AI channels — share links, API-connected AI tools, AI browser extensions, and automation agents
• Ensure AI system compliance with GDPR, data-privacy regulations, and financial-industry data handling requirements
• Perform AI-specific data risk assessments aligned with the internal risk methodology

AI Tool Risk & Shadow AI:

• Operate the controls that govern AI tool use across the organisation — detection policies, sanctioned-tool enforcement, share-link and egress controls
• Lead third-party AI tool due diligence and ongoing assurance of AI vendor integrations
• Monitor AI tool usage patterns and investigate anomalous behaviour
• Contribute to AI security standards, internal policies, and the company's AI risk classification framework

Compliance & Governance:

• Own the AI security governance framework: policy authoring, risk classification, control design, and regulatory mapping
• Maintain the AI risk register and report on AI-related risk posture to management
• Map AI security controls against applicable regulatory frameworks: EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR, and financial-sector requirements across FCA, CySEC, ASIC, SCB, and SCA jurisdictions
• Participate in audit cycles; provide technical evidence and explain AI control design to auditors and regulators

Required Qualifications:

• 3-5+ years in cybersecurity with hands-on experience in AI/ML system security or a strong AI security focus;
• Deep knowledge of AI-specific security risks and mitigations: prompt injection, model poisoning, data leakage, adversarial attacks, excessive permissions in AI agents;
• Hands-on experience securing LLM integrations, RAG pipelines, and AI APIs — reviewing configurations, access controls, and data flows;
• Experience authoring AI security policies, standards, and risk classification frameworks;
• Familiarity with AI governance frameworks: EU AI Act, NIST AI RMF, ISO/IEC 42001, and their application in a regulated financial services context;
• Experience running AI risk assessments and maintaining an AI risk register;
• Ability to manage third-party AI tool due diligence and control shadow AI across a distributed workforce;
• Python proficiency for automation and scripting.

Preferred Qualifications:

• Recognised certifications: CISM, CISSP, or equivalent;
• Experience in fintech or a regulated financial services environment;
• Multi-jurisdiction compliance exposure (FCA, CySEC, ASIC, SCB, or SCA);
• Experience building AI-powered security automation — autonomous agents, LLM-driven triage, automated response workflows;
• Experience presenting AI security risk posture to leadership or board-level audiences.

Soft Skills:

• Strong analytical and problem-solving skills;
• Ability to translate technical AI risk into business and regulatory impact;
• Able to explain AI security risks and mitigations to non-security teams;
• Cross-functional collaboration with risk, compliance, product, and engineering teams;
• Clear documentation and communication skills.

What you will get in return:

• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated
• Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock
• Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry
• Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team
• Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
• Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
• Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community

Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.