AWS Senior DevOps Engineer

🏢 Summary: The offer is for a Cloud Infrastructure Specialist responsible for ensuring production stability, secure cloud networking, and scalable infrastructure within AWS and Azure environments. The role focuses on hands-on infrastructure as code, observability, and CI/CD optimization while closely collaborating with a development team. It emphasizes autonomy and direct impact on production reliability rather than ticket-based support. 🗂️ Requirements: Proven experience maintaining production-grade environments, Hands-on experience with AWS services (Lambda, API Gateway, DynamoDB, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IAM), Hands-on experience with Azure services, Strong practical experience with cloud networking (VPC/VNet, subnetting, routing, peering, NAT, security groups, firewalls), Hands-on experience with Datadog for monitoring, logging, alerting, In-depth commercial experience with AWS and Azure, Proficiency with Terraform or AWS CDK, Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Ability to support automated deployments and infrastructure changes 📃 Skills: AWS, Azure, Terraform, CDK, TypeScript, Datadog, Prometheus, Grafana, Loki, Kubernetes, AKS, Lambda, APIGateway, DynamoDB, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB, NLB, Cognito, IAM, RDS, Redshift, BlobStorage, PostgreSQL, GitLabCI, AzureDevOps, RabbitMQ, InfluxDB 🏢 Description: You will join a substantial project as a key infrastructure specialist. You won't be managing a ticket queue; instead, you will partner directly with a mid-sized team of developers (~15 people) to ensure system stability and scalability. We are looking for someone who acts independently and is ready to ensure production reliability and secure cloud network configuration. Our Tech Stack You are not expected to know everything upfront, but this is the environment you will work with: IaC: Terraform, AWS CDK (TypeScript) Clouds: AWS & Azure Observability: Datadog, Prometheus, Grafana, Loki Core Azure: Kubernetes (AKS), Blob Storage, PostgreSQL Core AWS: Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EC2, WAF, VPC CI/CD: GitLab CI, Azure DevOps Other: RabbitMQ, InfluxDB, Renovate Requirements: Production Experience: proven track record of configuring and maintaining production-grade environments. Hands-on experience with AWS (Lambda, API Gateway, DynamoDB, Redshift, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IaM) Hands-on experience with Azure. Observability & monitoring: hands‑on experience with Datadog for monitoring, logging, alerting and performance analysis in production environments. Cloud Networking: strong practical experience in configuring Cloud Networks (VPC/VNet, Subnetting, Routing, Peering, NAT Gateways, Security Groups/Firewalls). Cloud Expertise: in-depth knowledge and commercial experience with Azure and AWS. Tooling: proficiency with Terraform or AWS CDK. Practical experience in building and maintaining CI/CD pipelines using GitLab CI/CD, supporting automated deployments and infrastructure changes. High autonomy and ability to communicate technical concepts to a cross-functional team. Nice to have: Experience with TypeScript , especially in AWS CDK or serverless applications. Main responsibilities: Production Stability: Maintain high availability and security of production environments. Cloud Networking: Configure and manage VPCs/VNets, subnets, routing tables, peering, and network isolation. Infrastructure as Code: Provision and manage resources using Terraform or AWS CDK. Developer Support: Optimize CI/CD pipelines and assist developers in understanding infrastructure constraints. Observability: Maintain monitoring stacks to ensure full system visibility.

🏢 Summary: The offer is for a Cloud Infrastructure Engineer responsible for designing and managing Azure-based infrastructure using Infrastructure as Code, with a focus on complex, event-driven systems. The role involves optimizing Terraform state management, automating IAM and security policies, and ensuring resilient, observable, and scalable cloud environments. It also includes cross-cloud integrations with GCP and automation of multi-version event schema deployments. 🗂️ Requirements: 3–7+ years of cloud infrastructure experience, Strong focus on Azure, Expertise in Terraform or Bicep, Experience with Terraform state management, Modular IaC design patterns, Experience with large-scale infrastructure environments, Handling complex state management challenges 📃 Skills: Azure, Terraform, Bicep, ARM, EventHubs, ServiceBus, Storage, Synapse, Databricks, AKS, GCP, PubSub, BigQuery, IAM, IaC 🏢 Description: Key responsibilities: Manage IaC and Terraform state (or Bicep/ARM), including modularization and splitting of large state files for complex event-driven systems to reduce deployment complexity and operational risk. Provision and operate Azure resources such as Event Hubs, Service Bus, Storage, Synapse/Databricks, AKS, and coordinate cross-cloud integration with GCP services (Pub/Sub, BigQuery) where required. Implement IAM automation, enforce least-privilege security policies, and ensure comprehensive audit logging across Azure and cross-cloud integrations. Enable multi-version event schema deployments and automate release processes for event versioning. Build infrastructure-level resilience patterns, flow control mechanisms, observability, alerting, and operational runbooks. Requirements: 3–7+ years of cloud infrastructure experience with strong focus on Azure. Strong expertise in Terraform (or Bicep), state management, and modular IaC design patterns. Experience working with large-scale, high-cardinality infrastructure environments and complex state management challenges.

🏢 Summary: Design, deploy, and maintain high-availability Azure cloud environments with a strong focus on AKS and Infrastructure as Code using Terraform. The role centers on secure, scalable, and well-monitored Azure infrastructure, including networking, identity, databases, and disaster recovery. You will drive automation and operational excellence across the Azure ecosystem. 🗂️ Requirements: Experience managing Azure Kubernetes Service (AKS) clusters, Proficiency in Infrastructure as Code using Terraform, Experience with YAML and Helm for Kubernetes deployments, Administration of Azure networking components (VNETs, NSGs), Management of Azure VMs, Storage Accounts, and ACR, Implementation of Azure AD (Entra ID) and IAM policies, Administration of Azure SQL and SQL Server environments, Configuration of monitoring with Azure Monitor, App Insights, and Log Analytics, Design and implementation of disaster recovery and backup strategies 📃 Skills: Azure, AKS, Kubernetes, Terraform, YAML, Helm, VNET, NSG, ACR, AzureAD, IAM, AzureSQL, SQLServer, AzureMonitor, AppInsights, LogAnalytics, Velero 🏢 Description: Role Overview We are looking for a highly skilled Azure Cloud & Platform Engineer to join our infrastructure team. In this role, you will be responsible for designing, deploying, and maintaining high-availability cloud environments with a heavy focus on container orchestration ( AKS ) and Infrastructure as Code ( Terraform ). You will ensure that our Azure ecosystem is secure, scalable, and monitored to the highest standards. Key Responsibilities Kubernetes Orchestration: Manage and optimize Azure Kubernetes Services (AKS) , including cluster configuration, scaling, and lifecycle management. Infrastructure as Code (IaC): Develop and maintain automated infrastructure deployments using Terraform , YAML , and Helm charts. Cloud Administration: Oversee core Azure resources including Networking (VNETs, NSGs), Storage Accounts, Azure VMs, and Container Registries (ACR). Security & Identity: Implement and manage Azure Active Directory (Azure AD/Entra ID) and Identity & Access Management (IAM) policies to ensure a "least privilege" environment. Database Management: Administer Azure SQL environments, including SQL Server, individual databases, and Elastic Pools. Observability & Monitoring: Set up and maintain robust monitoring solutions using Azure Monitor, App Insights, and Log Analytics . Disaster Recovery: Design and implement Disaster Recovery (DR) mechanisms and backup strategies (e.g., using Velero ). Technical Documentation: Create and maintain comprehensive documentation for system configurations, architecture setups, and operational procedures. Preferred Skills Experience with Velero for Kubernetes backups. Knowledge of the ELK Stack (ElasticSearch, Logstash, Kibana). Experience with Open Source monitoring tools: Prometheus, Grafana, and Loki . Familiarity with Ansible for configuration management. Exposure to Apache Kafka messaging systems. Candidate Profile The ideal candidate is a proactive engineer who prioritizes automation over manual intervention. You should be comfortable working in a fast-paced environment, taking ownership of cloud resources, and ensuring that all solutions are documented and resilient. Your approach should combine technical depth in Azure with a broader understanding of DevOps best practices.

🏢 Summary: Cloud Infrastructure Engineer role focused on designing, automating, and operating scalable and secure cloud infrastructure across GCP and AWS using Infrastructure as Code. The position emphasizes Terraform-driven provisioning, cloud security, reliability patterns, and observability in large-scale environments. You will support platform and data teams by building resilient, well-governed cloud foundations. 🗂️ Requirements: 3–7+ years in Cloud Infrastructure, DevOps, Platform Engineering, or SRE, Strong hands-on experience with Terraform, Experience with Infrastructure as Code practices, Deep knowledge of GCP services (Pub/Sub, BigQuery, IAM, Networking), Experience managing complex Terraform state and large-scale environments, Strong understanding of cloud security and IAM, Experience with monitoring, alerting, and observability in cloud environments, Knowledge of distributed systems and scalability patterns, Polish language proficiency, English C1 proficiency 📃 Skills: Terraform, GCP, AWS, PubSub, BigQuery, IAM, Networking, Monitoring, Alerting, Logging, IaC, GitOps, CICD, Security, DistributedSystems 🏢 Description: Role Overview We are looking for a Cloud Infrastructure Engineer to design, build, and operate the cloud infrastructure that supports modern data and application platforms. This role focuses on infrastructure automation, cloud resource management, security, reliability, and operational excellence across large-scale cloud environments. You will play a key role in establishing scalable and resilient cloud foundations, managing Infrastructure as Code, and ensuring secure and efficient provisioning of cloud resources. The position combines hands-on engineering with platform-level thinking, helping development and data teams operate reliably at scale. Key Responsibilities Design, implement, and maintain cloud infrastructure using Infrastructure as Code (Terraform). Manage Terraform modules, state files, and state separation strategies for large-scale cloud environments. Provision, configure, and operate cloud resources across GCP and/or AWS environments. Manage core platform services, including messaging, data storage, identity management, and access controls. Build and maintain cloud-native services such as BigQuery datasets, Pub/Sub topics, IAM roles, and networking components. Implement resilience and reliability patterns, including retry mechanisms, circuit breakers, flow control, and automated recovery processes. Develop monitoring, alerting, logging, and observability solutions to ensure platform stability and operational excellence. Support automated deployment processes, schema versioning, and multi-version release strategies. Enforce cloud security best practices, including least-privilege access, audit logging, governance controls, and compliance requirements. Collaborate closely with platform, engineering, and data teams to improve infrastructure scalability, reliability, and developer productivity. Requirements 3–7+ years of experience in Cloud Infrastructure Engineering, Platform Engineering, DevOps, or Site Reliability Engineering. Strong hands-on experience with Terraform and Infrastructure as Code practices. Deep knowledge of cloud platforms, particularly Google Cloud Platform (GCP), with experience in services such as: Pub/Sub BigQuery IAM Networking Experience managing complex Terraform environments, including state management and large-scale resource provisioning. Strong understanding of cloud security principles, identity and access management, and governance frameworks. Experience implementing monitoring, alerting, and reliability solutions in cloud-native environments. Knowledge of distributed systems, scalability patterns, and operational best practices. Able to speak Polish and English C1 + Nice to Have Experience with AWS cloud services. Knowledge of event-driven architectures and messaging platforms. Experience supporting large-scale data platforms and streaming systems. Familiarity with CI/CD pipelines and GitOps practices. Experience in highly regulated or security-focused environments.

🏢 Summary: Cloud Engineer role focused on automating and securing global Azure infrastructure by transforming network and security processes into scalable Infrastructure-as-Code. The position bridges Network Infrastructure and DevOps, driving cloud networking architecture, DevSecOps integration, and CI/CD automation. Responsible for ensuring architectural stability, security enforcement, and automated multi-region Azure deployments. 🗂️ Requirements: Expert-level Terraform experience, Deep practical knowledge of Microsoft Azure networking, Experience designing complex network topologies (V-WAN, VNET, BGP), Hands-on experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or Jenkins), Proficiency in scripting (Python, PowerShell, or YAML), Experience implementing Policy-as-Code and security benchmarks (NIST/CIS), Strong knowledge of DevSecOps practices and automated security testing, Experience managing and automating firewall configurations, Experience working in Agile/Scrum/SAFe environments 📃 Skills: Azure, Terraform, V-WAN, VNET, BGP, DevSecOps, CI/CD, AzureDevOps, GitHubActions, Jenkins, Python, PowerShell, YAML, NIST, CIS, Firewall, Agile, Scrum, SAFe 🏢 Description: The Mission We are looking for a highly skilled Cloud Engineer to bridge the gap between Network Infrastructure and DevOps. Your role is to transform manual networking and security tasks into scalable, automated Infrastructure-as-Code (IaC) . You will be responsible for the architectural stability, security enforcement, and automated deployment of our global Azure footprint. Core Responsibilities Infrastructure Automation: Architect and maintain robust IaC patterns using Terraform to ensure consistent, repeatable deployments. Cloud Networking: Design and optimize complex network topologies (V-WAN, VNET, BGP) across multi-region environments. Security Integration (DevSecOps): Implement Policy-as-Code (NIST/CIS benchmarks) to automate security gating and remediation. CI/CD Orchestration: Build and refine end-to-end pipelines (Azure DevOps, GitHub Actions) to automate the lifecycle of cloud resources. Network Security: Manage and automate firewall workflows, ensuring security protocols are integrated directly into the deployment process. Innovation & Troubleshooting: Resolve complex infrastructure bottlenecks and evaluate emerging tools to keep our stack at the cutting edge. Technical Profile Azure Expert: Deep practical knowledge of Microsoft Azure and its networking ecosystem. IaC Champion: Expert-level Terraform skills are non-negotiable. Automation Mindset: Proficient in scripting (Python, PowerShell, or YAML) to drive self-service infrastructure. DevOps Guru: Proven track record of managing environments via CI/CD (ADO, Jenkins, or GitHub). Methodology: Comfortable working in Agile/Scrum/SAFe environments, understanding both the "how" (code) and the "why" (business delivery). Security-First: Solid grasp of DevSecOps, including automated testing frameworks and operational stability controls.

🏢 Summary: The offer is for a Senior Platform Engineer responsible for designing, building, and operating a scalable internal developer platform on AWS, combining DevOps and development expertise. The role focuses on Infrastructure as Code, multi-account cloud governance, CI/CD automation, container platforms, and secure networking. The engineer will enable distributed teams through self-service tools, platform standards, and reliable production operations. 🗂️ Requirements: 4+ years experience as Platform Engineer or DevOps Engineer, Hands-on experience with AWS multi-account environments, Strong expertise in Terraform (modules, state management, guardrails), Experience operating EKS and/or ECS in production, Experience with CI/CD and GitHub-based workflows, Knowledge of OIDC and least-privilege deployment patterns, Understanding of IAM, SCPs, permissions boundaries, Experience with cloud security and secure networking, Experience with monitoring, logging, alerting, incident handling, Professional development experience in Java, Kotlin, Node.js or TypeScript, Ability to work with container-based workloads 📃 Skills: AWS, Terraform, EKS, ECS, CI/CD, GitHub, OIDC, IAM, SCP, VPC, TGW, Route53, SSO, CDK, Java, Kotlin, Spring, Node.js, TypeScript, Docker, Kubernetes 🏢 Description: Job Purpose We are looking for a Senior Platform Engineer with strong DevOps experience , combining deep operational expertise with a development background. You are comfortable working at the intersection of infrastructure, security, and application development, and you enjoy enabling other teams to move faster through well-designed platforms and abstractions. You bring both a builder and operator mindset: you design scalable systems, automate everything possible, and take ownership of platform reliability in production. We offer B2B Contract (remote) or Offer of Employment/Umowa o prace (4 days mandatory working from our office in Kraków) - details to be discussed with your recruiter. Key Responsibilities Build and maintain core platform components (SSO, Access Management, clusters, networking, CI/CD, observability). Own Terraform modules, baseline configurations, and guardrails for distributed teams. Design and evolve platform “golden paths” — secure defaults, templates, and standards. Maintain platform IaC (Terraform, modules, state design, multi-account governance). Integrate with team-owned CDK stacks through stable platform contracts. Lead evolution of platform abstraction layers and service catalogs. Design and manage multi-account AWS landing zone (Orgs, SCPs, permissions boundaries). Own developer onboarding patterns (IAM SSO access, automation, pipelines). Build safe cross-account deployment workflows (GitHub OIDC, least privilege). Design and operate ECS and EKS clusters used by hundreds of services. Establish best practices for container execution, networking, autoscaling Manage central networking components (VPC, TGW, Route53). Ensure secure east–west communication between workloads in different accounts. Provide self-service tools and templates for teams (pipelines, service definitions, actions). Abstract platform complexity to enable fast and safe deployments for all teams. Own documentation, workshops, patterns, and architectural guidance. Operate and evolve platform-wide logging, metrics, and tracing systems. Ensure operational standards for platform components. You are meant for this job if: Strong experience as a Platform Engineer / DevOps Engineer operating production systems at scale Proven +4 years hands-on expertise with AWS , especially multi-account environments and organizational governance Deep understanding of Infrastructure as Code , particularly Terraform (modules, state management, guardrails) Solid experience running and operating EKS and/or ECS in production Strong background in CI/CD , GitHub-based workflows, and secure deployment patterns (OIDC, least privilege) Experience designing developer platforms and internal tooling for self-service and standardization Strong understanding of cloud security , IAM, SCPs, permissions boundaries, and secure networking Operational excellence mindset: monitoring, logging, alerting, SLOs, and incident handling In addition to infrastructure and operations, you have hands-on development experience , allowing you to collaborate closely with application teams and design pragmatic platform contracts: Professional experience developing services in one or more of: Java / Kotlin (Spring Boot) Node.js / TypeScript Familiarity with modern API design, service runtime concerns, and container-based workloads Ability to read, debug, and contribute to application code when needed

🏢 Summary: DevOps Engineer role within a centralised Markets Technology team supporting a large-scale transformation programme. The position focuses on migrating and standardising 90+ applications, modernising infrastructure, and improving CI/CD and platform practices across teams. The role drives Kubernetes adoption, workflow modernisation, and automation of DevOps processes in a complex enterprise environment. 🗂️ Requirements: Strong DevOps or platform engineering experience in large enterprise environments, Experience with Java-based application ecosystems, Experience deploying and managing applications on Linux (Red Hat preferred), Hands-on experience with Kubernetes in enterprise settings, Experience with CI/CD tooling (Azure DevOps preferred), Experience supporting multiple applications or cross-team environments, Experience with workflow tools such as Control-M or Airflow, Experience automating DevOps processes using AI 📃 Skills: DevOps, PlatformEngineering, Java, Linux, RedHat, Kubernetes, AzureDevOps, CICD, ControlM, Airflow, AI 🏢 Description: Overview A leading international financial institution is undertaking a large-scale transformation across Markets Technology, driven by a combination of infrastructure modernisation, application migration and a broader push to improve engineering efficiency. As part of this initiative, a centralised DevOps capability is being established to support the migration and standardisation of a complex estate of applications, while introducing more efficient and scalable ways of working across teams. This role will sit within a newly formed central team, working across multiple Markets Technology groups to accelerate delivery, reduce duplication and improve the end-to-end software delivery lifecycle. Project Context The team will support a multi-year programme focused on: Migration of approximately 90+ applications across Markets Technology Transition to new data centre environments as part of the GDC West programme Adoption of a standardised internal Kubernetes platform Migration to new object storage solutions and infrastructure models Replacement of existing workflow and scheduling tools (including Control-M) with modern alternatives such as Airflow Consolidation of DevOps practices across teams to avoid duplication and inconsistency Technical Requirements Strong DevOps or platform engineering experience within a large, complex environment Solid exposure to Java-based application ecosystems Experience deploying and managing applications on Linux (preferably Red Hat) Experience working with Kubernetes in an enterprise setting Hands-on experience with CI/CD tooling (Azure DevOps preferred) Experience supporting multiple applications or working across teams rather than within a single isolated product Experience with workflow tools such as Control-M or Airflow Experience automating DevOps processes and workflows using AI

🏢 Summary: Design and scale next-generation observability and logging solutions within an international DevOps team, focusing on building high-scale monitoring platforms and cloud-native infrastructure from the ground up. The role combines architecture, infrastructure as code, and reliability engineering for distributed systems. You will drive metrics, logging, tracing, and alerting solutions in a collaborative environment. 🗂️ Requirements: Hands-on experience with Prometheus and Grafana, Experience scaling observability tools such as Thanos or Mimir, Experience managing ELK stack or Loki logging platforms, Strong proficiency in Terraform and Terragrunt, Deep understanding of Kubernetes, Experience with distributed systems observability (metrics, logs, traces), Full professional proficiency in English 📃 Skills: Prometheus, Grafana, Thanos, Mimir, ELK, Loki, Terraform, Terragrunt, Kubernetes, Python, Go, GitHubActions, Puppet 🏢 Description: The Opportunity Join a high-performing, international team of six DevOps experts. This is not a "maintenance-only" role. You will have a seat at the table in designing, building, and scaling our next-generation observability and logging solutions from the ground up. We believe in "Attitude First." If you are an ambitious engineer who thrives on collaboration, knowledge sharing, and solving complex distributed systems challenges, we want to grow with you. Key Responsibilities Architect & Build: Design and implement end-to-end observability solutions, including metrics, logging, tracing, and advanced alerting. Platform Excellence: Operate and optimize high-scale monitoring platforms (Prometheus, Mimir, Grafana) and ELK stack logging infrastructure. Infrastructure as Code: Define and maintain all observability systems using Terraform and Terragrunt . Reliability Engineering: Ensure the scalability and performance of our systems while supporting incident detection and root cause analysis (RCA). Collaborate: Work across domains with a team that values mentoring, transparency, and collective problem-solving. Your Technical Core Observability Expert: Solid hands-on experience with Prometheus, Grafana, and scaling tools like Thanos or Mimir . Logging Architect: Proven experience managing enterprise-grade logging platforms (ELK stack or Loki). IaC Ninja: Strong proficiency in Terraform/Terragrunt to manage infrastructure. Cloud Native: Deep understanding of Kubernetes and the complexities of metrics/logs/traces in distributed systems. Language: Full proficiency in English for seamless global collaboration. Stand Out From The Crowd (Nice to Have) Coding: Ability to automate and integrate using Python or Go . CI/CD: Exposure to GitHub Actions and automated workflows. Configuration Management: Experience with Puppet. SRE Mindset: Understanding of Service Level Indicators (SLIs), Objectives (SLOs), and Error Budgets.

🏢 Summary: The role focuses on designing, developing, and maintaining cloud-based backend systems in an AWS Serverless environment using Infrastructure as Code (Terraform). It involves building and deploying scalable functionalities, managing CI/CD pipelines, and ensuring production reliability across multiple European markets. The position requires strong cloud engineering expertise and backend programming experience. 🗂️ Requirements: 5+ years production experience in AWS and Infrastructure as Code, Strong hands-on experience with Terraform, Proficiency in at least one language: Python, TypeScript, C#, Java, or Golang, Experience building and maintaining CI/CD pipelines, Experience with monitoring tools (Datadog, Grafana, Prometheus), Strong knowledge of software engineering principles, testing, data structures, algorithms, Experience with PostgreSQL or DynamoDB, Experience designing and implementing REST APIs, Understanding of OO design patterns, SOLID, Clean Code, Degree in Computer Science or related field, Experience working in Agile (SCRUM or Kanban), Proficiency in English 📃 Skills: AWS, Terraform, CircleCI, Python, TypeScript, C#, Java, Golang, Datadog, Grafana, Prometheus, PostgreSQL, DynamoDB, REST, Docker, Kubernetes 🏢 Description: About the role You will need to be an expert in AWS and Infrastructure as a Code (IaC) with a thorough understanding of the applications’ architecture involved. Strong infrastructure and backend programming skills will help you to demonstrate your ability to apply these technologies, as well as deploy and maintain them will be crucial to success. Technologies we work with: AWS, Terraform, CircleCI, Python, TypeScript, C#, Java Responsibilities: Designing, writing, testing and deploying functionalities developed via IaC (Terraform) in AWS Serverless environment Implementing the backend code (TypeScript / Python / C# / Java) Maintaining system on production used by consumers from several European countries Debugging issues Scoping and assessing the complexity of features Participating in sprint planning, daily sprints and meetings with product owners for grooming new features Recruiting and mentoring team members Collaborating with other team members and teams that depend on the functionalities that you develop Required qualifications: 5+ years of production experience in cloud engineering (AWS, IaC). Strong hands-on experience in technologies such as Terraform and programming languages, e.g. Python, TypeScript, C#, Java, Golang (one of these). Proficiency in building CICD pipelines Expertise with monitoring tools - Datadog / Grafana / Prometheus Strong understanding of software engineering principles, testing, data structures and algorithms Solid knowledge of DBMS like PostgreSQL, DynamoDB Expertise in REST APIs, Understanding of OO design patterns, SOLID principles and Clean Code Bachelor’s or Master’s degree in Computer Science Able to work with Agile methodologies such as SCRUM and/or Kanban Good communication and collaboration skills Self-motivation, proactive attitude Proficiency in English Nice to have: Exposure to fullstack development Experience with containers and container orchestration using Docker and Kubernetes

🏢 Summary: Opportunity to join a large-scale DevOps transformation programme focused on migrating 90+ applications, modernising infrastructure, and standardising cloud-native engineering practices. The role centres on Kubernetes adoption, CI/CD optimisation, workflow orchestration modernisation, and AI-driven automation within a complex enterprise environment. You will collaborate across platform, infrastructure, and application teams to improve delivery efficiency and operational scalability. 🗂️ Requirements: Strong DevOps or Platform Engineering experience in large enterprise environments, Experience with Java-based application ecosystems, Hands-on Kubernetes experience in enterprise settings, Experience deploying and managing applications on Linux (Red Hat preferred), Strong CI/CD pipeline design and implementation experience, Experience with Azure DevOps, Experience supporting multiple applications or cross-team environments, Experience with workflow orchestration tools (Control-M or Airflow), Experience using AI to automate DevOps processes and workflows 📃 Skills: DevOps, Kubernetes, Java, Linux, RedHat, CI/CD, Azure, Control-M, Airflow, AI, Automation 🏢 Description: Our client, a leading international organisation operating within a highly complex technology environment, is undertaking a large-scale transformation programme focused on infrastructure modernisation, application migration and engineering efficiency. To support this initiative, a new central DevOps capability is being established to drive the migration and standardisation of a large application estate while introducing scalable engineering practices and modern delivery approaches across multiple technology teams. This is an opportunity to join a strategic programme with significant visibility and impact, working at the intersection of platform engineering, automation, cloud-native technologies and AI-enabled software delivery. Project Scope The programme includes: Migration of more than 90 applications across multiple technology domains Large-scale infrastructure and data centre transformation initiatives Adoption of enterprise Kubernetes platforms Migration to modern storage and infrastructure solutions Modernisation of workflow orchestration and scheduling platforms Standardisation of DevOps practices across engineering teams Introduction of AI-driven tooling to improve engineering productivity and delivery efficiency The successful candidate will work closely with platform, infrastructure, architecture and application teams to accelerate delivery, reduce operational complexity and support the organisation's long-term technology strategy. Key Responsibilities Support large-scale application and infrastructure migration initiatives Design, implement and optimise CI/CD pipelines and deployment processes Enable adoption of Kubernetes-based deployment models Drive automation and standardisation across engineering teams Improve software delivery processes and operational efficiency Leverage AI tools to automate DevOps workflows and engineering tasks Support workflow orchestration modernisation projects Collaborate with stakeholders across multiple technology teams Required Skills & Experience Strong DevOps or Platform Engineering experience gained within large-scale enterprise environments Solid exposure to Java-based application ecosystems Experience deploying and managing applications on Linux environments (Red Hat preferred) Hands-on experience with Kubernetes in enterprise settings Strong CI/CD experience, ideally with Azure DevOps Experience supporting multiple applications or working across various engineering teams Experience with workflow orchestration tools such as Control-M and/or Airflow Experience using AI to automate DevOps processes, workflows or engineering activities Nice to Have Experience with object storage technologies and infrastructure transformation programmes Background within financial services, banking or capital markets Exposure to trading, pricing or risk management systems Experience working with platforms such as Murex Experience leveraging AI tools to support migration initiatives, including Control-M to Airflow transitions