Strategy & Operating Model Consultant

🏢 Summary: Senior Integration Engineer role focused on designing, building, and optimizing scalable integrations between a business-critical SaaS platform and external systems. The assignment combines hands-on development with architectural improvements and standardization of the integration landscape. The consultant will enhance integration practices, frameworks, and cloud-based services in a modern product-driven environment. 🗂️ Requirements: 5-6+ years software development experience, Minimum 2 years in integration-focused role, Strong knowledge of APIs and distributed systems, Experience with event sourcing, Experience building scalable integration services, Experience integrating ERP and/or Payroll systems, Proficiency in at least one OOP language (Java, Kotlin, or C#), Experience with Node.js, React, or TypeScript, Experience with PostgreSQL or MongoDB, Experience with AWS, Azure, or GCP, Experience with integration frameworks (Apache Camel, JBoss Fuse, Azure Logic Apps, or iPaaS), Experience using AI tools in development workflow 📃 Skills: APIs, DistributedSystems, EventSourcing, Integration, ERP, Payroll, Java, Kotlin, C#, OOP, Node.js, React, TypeScript, PostgreSQL, MongoDB, AWS, Azure, GCP, ApacheCamel, JBossFuse, AzureLogicApps, iPaaS, AI 🏢 Description: Location: Remote with occasional visits to the office in Stockholm Start: ASAP/or after the Summer Duration: Initial 6 months About the Assignment We are looking for a highly experienced Integration Engineer to join a product-focused technology organization undergoing continued growth and modernization. The assignment focuses on designing, building, and optimizing integrations between a business-critical SaaS platform and a broad ecosystem of external systems. The consultant will play a key role in both hands-on development and strategic improvements of the client's integration landscape. This is a senior-level role where the consultant is expected to actively contribute to development while also helping elevate engineering practices across the team. Responsibilities Design, develop, and maintain integration solutions between internal and external platforms. Evaluate and assess the existing integration architecture and provide improvement recommendations. Drive standardization, scalability, and maintainability across integration services. Collaborate closely with engineering, product, and business stakeholders. Contribute to architectural decisions and integration best practices. Support the development of reusable integration patterns and frameworks. Mentor team members and help strengthen the team's technical capabilities. Leverage modern AI-assisted development tools and workflows to improve productivity and quality. Required Experience A passionate professional with a solid technical understanding of concepts such as APIs, distributed systems, event sourcing, and integrations, with at least 5-6 years of experience as a developer including at least 2 years in an integration-focused role. Proficiency in building scalable integration services, preferably with systems such as ERP and/or Payroll. Fluency in at least one OOP language such as Java, Kotlin, or C#, with experience across frontend (preferably Node.js, React, or TypeScript) and databases (preferably PostgreSQL or MongoDB). Experience working in cloud environments like AWS, Azure, or Google Cloud. Familiarity with integration frameworks like Apache Camel, JBoss Fuse, Azure Logic Apps, or iPaaS solutions. Track record of leveraging AI tools in your development workflow. Strong attention to detail and the ability to deliver stable, scalable integrations. Strong analytical abilities and excellent communication skills. Nice to have Experience in identity and access management. Experience in the HRIS domain, HR master data, HR systems, payroll data, and employee and organizational data. Experience working with remote teams across multiple countries. Personal Qualities Highly hands-on and delivery-oriented. Comfortable operating both strategically and technically. Strong problem-solving and analytical mindset. Passionate about engineering excellence and continuous improvement. Ability to challenge existing approaches and drive positive change.

🏢 Summary: This role focuses on optimizing and validating large-scale machine learning workloads within a High-Performance Computing and compiler infrastructure environment. The engineer will manage performance benchmarking pipelines, conduct root-cause analysis of regressions, and automate infrastructure for reliable performance testing. It is a high-impact position centered on performance engineering, automation, and system-level debugging for next-generation hardware. 🗂️ Requirements: Strong proficiency in Python, Hands-on experience with SQL, Deep knowledge of Linux/Unix environments, Experience with Bash scripting, Ability to debug complex system-level issues, Experience with performance benchmarking and analysis, Clear technical documentation skills 📃 Skills: Python, SQL, Linux, Unix, Bash, HPC, CI/CD, Bazel, CMake, JAX, PyTorch, TensorFlow, GPU 🏢 Description: We are looking for an experienced Software Engineer in Performance Infrastructure to join our team. This position is part of a high-impact project for a world-renowned global tech leader and AI innovator . You will be focused on optimizing large-scale machine learning workloads for next-generation hardware within a High-Performance Computing (HPC) and Compiler Infrastructure environment. Your core mission will be to manage the end-to-end health, precision, and reliability of performance benchmarking pipelines, working at the intersection of automated infrastructure and performance engineering. Responsibilities: Performance Analysis & Validation: Evaluate results from automated benchmarking suites to detect and analyze performance shifts and shifts in metrics. Root-Cause Analysis: Perform deep-dive root-cause analysis on bisection results to identify specific code changes responsible for performance regressions. Infrastructure Automation: Develop and maintain Python-based tooling for benchmark automation, hardware configuration management, and automated data recovery. System Debugging: Troubleshoot failures within the benchmarking pipeline, including script errors, environment misconfigurations, and resource allocation issues in distributed clusters. Data Pipelines & Dashboards: Maintain and enhance data pipelines and visualization tools to ensure high-fidelity performance metrics are consistently available for engineering teams. Technical Documentation: Develop and maintain engineering playbooks and best practices to improve consistency in performance testing and incident investigation. Min requirements: Strong proficiency in Python for systems automation, data processing, and integration. Hands-on experience with SQL for querying large datasets and managing performance metrics. Deep knowledge of Linux/Unix environments, shell scripting (Bash), and command-line development. Exceptional analytical and problem-solving skills with the ability to debug complex system-level issues. Clear written communication skills for documenting technical investigations and collaborating across globally distributed teams. Would be a plus: Practical experience with distributed build and test systems (e.g., Bazel / CMake ). Strong familiarity with CI/CD pipelines and automated regression testing. Basic understanding of hardware accelerators ( GPUs ) or machine learning frameworks (e.g., JAX, PyTorch, TensorFlow ). Background in Performance Engineering or SRE (Site Reliability Engineering). We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Opportunity for an experienced Adobe Target Consultant / Engineer to design and deliver personalization and testing solutions within Adobe Experience Cloud for a global pharmaceutical client. The role focuses on solution architecture, implementation, and optimization of Adobe Target and related platforms, supporting customer engagement and platform migrations. You will work across web and mobile environments, driving A/B testing, tagging, analytics integration, and technical consulting in an Agile setup. 🗂️ Requirements: 5+ years of experience with Adobe solutions, especially Adobe Target and Adobe Analytics, Strong experience in designing and leading Adobe Target implementations across web, mobile, and apps, Hands-on development skills in JavaScript, HTML, CSS, Data layers, Experience with Adobe Experience Cloud setup analysis and solution design, Experience with tagging and test implementation (A/B, XT), Knowledge of marketing technology stack focused on content personalization, Experience working in Agile methodologies (Scrum, Kanban), Bachelor’s degree in Computer Science, Engineering, related field or 4+ years relevant experience 📃 Skills: AdobeTarget, AdobeAnalytics, AdobeExperienceCloud, AdobeExperienceManager, AdobeLaunch, AdobeSensei, JavaScript, HTML, CSS, DataLayers, Agile, Scrum, Kanban, ABTesting, Personalization 🏢 Description: Adobe Target Consultant / Engineer We are looking for an Adobe Target Consultant / Engineer to join our technical teams working for a global client in the pharmaceutical industry. In this role you will be responsible for pioneering the solution design and development of Adobe Target solutions. The encompassing program's purpose is to develop and maintain key Customer Engagement Solution Layers, based on Adobe Experience Manager platforms (both on-prem and cloud). For the year 2026, there is a plan for further growth and migrations of features and products from deprecated platforms onto the solutions in scope. Your responsibilities: Analyzing the client’s Adobe Experience Cloud setup and proposing solutions to fulfill business objectives in the long term Designing and spearheading the delivery of solutions based on Adobe Target Implement tagging and AB/XT test using Adobe Experience Cloud platform supporting organization’s reporting, analytics, and personalization objective Application development supporting business objectives while providing mid-level experience in software development lifecycle phases from concept and design to testing Advising marketing partners on technical and creative issues, choosing and implementing solutions and ensuring safety and trade compliance of systems and products Delivering of designed solutions for content personalization (Recommendations, Auto personalization, Auto-allocate) Implementing and maintaining the tracking of user behavior on public-facing website using Adobe Launch tag management system, to provide data for use in Adobe Analytics and Adobe Target Troubleshooting front end performance issues related to tagging and testing using JavaScript, CSS, HTML Configuring, administering, and onboarding new personnel to Adobe Target Ensuring that programs/projects are delivered on time and results meet budget, time, quality, and strategic and tactical key performance goals Recommending, developing, and implementing process improvements to enable personalized experience on the client’s sites. We are looking for you, if you have: 5+ years experience on several Adobe solutions, especially the Adobe Target & Adobe Analytics Familiarity using artificial intelligence and machine learning technology such as Adobe Sensei is an added advantage Knowledge of Marketing technology stack with focus on content personalization solutions Development skills: JavaScript, HTML, CSS, Data layers Strong experience in assessing multiple vendor solutions Experience in partnering with Business and IT teams at multiple levels to drive alignment and delivery of complex problems Experience in leading Adobe target implementations across Web, mobile, and apps Ability to work collaboratively with cross functional teams like product owners, technologies teams, and marketing partners. Demonstrates creative, technical, and analytical skills. Able to work with distributed team members under Agile methodologies (Scrum, Kanban). Bachelor's degree in Computer Science, Engineering, or any other related marketing field or 4 or more years of work experience We’ll be a great match if you: Have strong consulting and negotiation skills, and a client-oriented mindset. Be proactive and accountable in your role and build trust within your team. Enjoy collaboration, sharing knowledge, and working toward common goals. Demonstrate flexibility and adapt easily to different working styles and priorities. Show commitment to quality and continuously look for ways to improve. Have a growth mindset, eager to learn and develop new skills. We offer: Participation in interesting and demanding projects. Flexible working hours. A great, non-corporate atmosphere. Possibility to work remote or hybrid (2 days per week from the office). Opportunities for development and promotion. Attractive package of benefits. We reserve the right to contact the selected candidates.

🏢 Summary: Senior Agile Delivery Lead / Scrum Master role focused on driving end-to-end delivery execution in complex, cross-team environments. The position centers on dependency management, impediment removal, and continuous improvement to ensure predictable, outcome-driven releases. The role partners closely with Product Owners and stakeholders to enhance backlog readiness and delivery flow in scaled Agile setups. 🗂️ Requirements: Strong experience as Senior Scrum Master or Agile Delivery Lead in complex environments, Proven delivery execution and commitment management, Experience managing cross-team dependencies and stakeholder alignment, Hands-on impediment and risk management at team and system level, Practical knowledge of Agile methodologies and high-performing team practices, Experience with distributed or multi-location teams, Proficiency with Jira and Confluence, Experience in scaled Agile environments (e.g., SAFe) 📃 Skills: Agile, Scrum, SAFe, Jira, Confluence, DependencyManagement, StakeholderManagement, RiskManagement, BacklogManagement, Facilitation, Coaching, Metrics, Flow, PSM, ACSM, SPC, FinancialServices 🏢 Description: Detailed description of work task to be carried out Delivery leadership & execution: Own the execution rhythm from planning to delivery to release, ensure predictability, and keep the teams focused on outcomes and time-critical business deliveries. Dependency management: Identify, track and actively drive cross-team / cross-ART dependencies; align timelines and scope with PO, RTE, PM and key stakeholders. Impediment removal (hands-on): Build a clear impediment/risk log, remove blockers by navigating the org, driving decisions, and escalating early when needed. Continuous improvement: Run a real continuous improvement backlog and make it stick - challenge routines, and push teams to improve flow, collaboration and quality. Agile leadership (beyond facilitation): Facilitate where needed, but the real value is coaching teams to be more effective, self-organising and outcome-driven - and building strong stakeholder communication paths. PO partnership: Work closely with the Product Owner to improve backlog readiness / refinement quality so execution is not blocked by unclear scope or missing acceptance criteria. Must-have knowledge and experience: Strong experience as Senior Scrum Master / Agile Delivery Lead in complex deliveries Proven track record in delivery execution: driving progress, resolving blockers, landing commitments Strong dependency management, stakeholder alignment, and cross-team coordination Confident in impediment removal at team + system level (process, tooling, decision making, organization) Excellent facilitation + coaching skills: conflict handling, team dynamics, decision facilitation, continuous improvement Experience working with distributed / multi-location teams (remote-first habits, clarity, transparency, alignment) Strong practical knowledge of Agile ways of working and building high-performing teams (self-organization, empowerment, sustainable pace) Solid tooling competence: Jira, Confluence with a delivery mindset (visibility, flow, predictability) Nice-to-have knowledge and experience: Experience in scaled setups (SAFe or similar), incl. PI events and collaboration with RTE/PM Background in financial services / regulated environments with high quality expectations Strong focus on metrics that drive action (flow, predictability, quality signals) and improving outcomes through experiments Certifications such as PSM II / A-CSM / SAFe ASM / SPC Ability to influence across senior stakeholders (strong “lead without authority” profile)

🏢 Summary: The offer is for an Observability Specialist responsible for designing, implementing, and maintaining a scalable telemetry and monitoring infrastructure in cloud-native environments. The role focuses on Kubernetes observability, Elastic Stack management, and performance optimization using modern telemetry standards. It involves driving SRE practices and ensuring high system reliability through advanced monitoring and AIOps solutions. 🗂️ Requirements: Experience monitoring Kubernetes (OpenShift) environments, Hands-on implementation of OpenTelemetry for logs, traces, and metrics, Strong expertise in ELK stack deployment and maintenance, Proficiency in automating Elastic environments using Ansible, Experience with Application Performance Monitoring for code-level analysis, Knowledge of shard optimization, mapping, and Index Lifecycle Management, Experience defining and monitoring SLOs and managing Error Budgets, Integration of observability solutions with major cloud providers 📃 Skills: Kubernetes, OpenShift, OpenTelemetry, Elasticsearch, Logstash, Kibana, Ansible, ElasticAPM, AIOps, SRE, ILM, Sharding, Mapping, Cloud 🏢 Description: Introduction & Summary We are seeking an experienced Observability Specialist dedicated to ensuring the reliability and performance of our systems. This role involves collaborating with enterprise architects and IT professionals to design, implement, and oversee a scalable telemetry infrastructure. The ideal candidate will possess deep expertise in ELK or similiar technologies and modern telemetry standards. Main Responsibilities As our Observability Engineer, your core duties will include: Architectural Collaboration: Partner with system architects and local engineering teams in Denmark to design resilient monitoring solutions. Monitor Kubernetes environments with OpenTelemetry (OTel) standards for logs, traces, and metrics. Manage centralized data collection and automate Elastic deployments using Ansible. Utilize Elastic APM for identifying code-level bottlenecks and resolving latency issues. Implement AIOps configurations for proactive anomaly detection and automated root-cause analysis. Drive Site Reliability Engineering (SRE) methodologies across teams. Elastic Stack Management: Deploy, scale, and maintain Elasticsearch, Logstash, and Kibana (ELK) environments. Key Requirements Cloud-Native Observability: Strong skills in monitoring Kubernetes (Openshift) environments and integrating with major cloud providers. APM & Distributed Tracing: Expertise in Application Performance Monitoring (APM) to identify code-level bottlenecks and latency issues. OpenTelemetry (OTel): Hands-on experience implementing OpenTelemetry (or similiar) standards for logs, traces, and metrics to ensure vendor-neutral telemetry. Infrastructure as Code (IaC): Proficiency in automating Elastic environments with Ansible. Performance Engineering: Expert-level knowledge of shard optimization, mapping, and Index Lifecycle Management (ILM) to balance high performance with cost control. SRE Methodology: Experience defining and monitoring Service Level Objectives (SLOs) and managing Error Budgets. Strong communication skills for collaboration with IT teams. NIce to Have: Elastic Stack Mastery: Deep expertise in architecting and managing Elasticsearch, Logstash, and Kibana (ELK) at scale. Data Ingestion & Fleet: Proven experience deploying Elastic Agent and Fleet for centralized agent management and data collection. AIOps & Machine Learning: Ability to configure Elastic ML models for proactive anomaly detection and automated root cause analysis. Other Details This is position based in Warsaw, flexible Hybrid model, focused on leading-edge observability solutions in a dynamic and collaborative environment.

🏢 Summary: 6-month remote engagement for an experienced Drools Consultant to design, implement, and optimize enterprise-grade rule-based decision systems in a travel industry environment. The role focuses on building scalable Drools-based architectures, defining technical standards, and integrating rule engines within modern microservices ecosystems. Flexible full-time or part-time B2B cooperation with strong architectural ownership. 🗂️ Requirements: Deep practical experience with Drools ecosystem, Strong Java development experience, Experience with Spring and Spring Boot, Experience with Hibernate, Experience with KIE Server and KIE Containers, Experience with Business Central, Experience with Complex Event Processing (CEP), Experience designing rule-based architectures in distributed systems, Strong understanding of software architecture and integration patterns, Ability to troubleshoot complex technical issues, Experience working in Agile (Scrum or Kanban) environments, Very good English communication skills 📃 Skills: Drools, Java, Spring, SpringBoot, Hibernate, KIEServer, KIEContainers, BusinessCentral, CEP, Microservices, OptaPlanner, Timefold, DDD, Scrum, Kanban 🏢 Description: We are looking for a highly experienced Drools Consultant / Rule Engine Expert to join a strategic 6-month initiative focused on implementing and optimizing rule-based decision systems within a modern enterprise environment. The project offers flexibility regarding engagement model — we are open to both full-time and part-time cooperation, depending on the consultant’s availability and expertise. In this role, you will support development teams in building scalable and maintainable Drools-based solutions, helping establish technical standards, improve architecture quality, and accelerate adoption of the rule engine ecosystem across the organization. Engagement details Industry: Travel Initial cooperation planned for 6 months Possibility of both full-time and part-time engagement Fully remote work model Flexible working hours focused on outcomes and delivery quality Budget: 170-200 net/h - B2B Your responsibilities Support teams in designing and implementing enterprise-grade solutions based on the Drools ecosystem Analyze existing technical challenges and identify improvements related to performance, scalability, and maintainability Define best practices for rule architecture, coding standards, and rule lifecycle management Collaborate closely with software engineers, architects, and QA teams to ensure high-quality delivery Participate in code reviews, workshops, and technical knowledge-sharing sessions Design robust integrations between Drools components and modern microservices-based architectures Identify technical risks and propose mitigation strategies within complex project environments Contribute hands-on to implementation activities and optimization initiatives Prepare and maintain technical documentation and implementation guidelines We pay attention to candidates who have Deep practical expertise with Drools, Business Central, KIE Server / KIE Containers, Complex Event Processing (CEP) Strong Java development background, including Spring / Spring Boot and Hibernate Experience in designing rule-based architectures within distributed systems Strong understanding of software architecture and integration patterns Ability to troubleshoot complex technical issues and drive solutions proactively Excellent collaboration and communication skills Experience working closely with development teams in Agile environments Very good English communication skills Nice to have experience: OptaPlanner / Timefold constraint-solving engines Domain-Driven Design (DDD) principles Work environment Agile delivery model (Scrum / Kanban) Fully remote work model with optional hybrid collaboration in Kraków or Gdańsk Flexible working hours focused on outcomes and delivery quality Collaborative engineering culture with experienced technical specialists Modern technology stack and a supportive onboarding process We offer Opportunity to influence architecture and technical standards in a strategic initiative High-impact role with strong ownership and autonomy International and collaborative project environment Access to modern tools, technologies, and a knowledge-sharing culture Recruitment process Introductory conversation Technical discussion with the project team Final client interview

🏢 Summary: Technical Test Consultant role focused on validating complex data flows and large datasets for sustainability and CO₂ reporting solutions. The position involves hands-on SQL-based testing, data integrity verification, defect analysis, and independent ownership of testing activities within a hybrid full-time contract in Denmark. 🗂️ Requirements: Experience as Technical Tester or Data Tester, Strong SQL knowledge, Experience with databases, Knowledge of data structures, Experience testing complex data flows, Experience validating large datasets, Ability to work independently, Ability to manage testing activities, Experience identifying and analysing defects, Experience with sustainability or ESG solutions 📃 Skills: SQL, Databases, Data, Testing, ESG, PCF 🏢 Description: On behalf of a large international company, we are looking for a Technical Test Consultant (SQL & Data) to support a business-critical sustainability programme. The consultant will join a team responsible for validating complex data flows that underpin CO₂ calculations and sustainability reporting. This is a hands-on, data-focused testing role requiring a structured and proactive consultant who can work independently and take ownership of testing activities. Main Responsibilities: Perform technical testing of complex, data-driven solutions supporting sustainability initiatives Validate large datasets and ensure data integrity across multiple systems and processes Execute SQL-based testing and analyse databases and data structures Verify data transformations and data flows throughout the solution landscape Plan, prioritise and execute testing activities independently Identify, investigate and communicate defects and data quality issues Collaborate with business and technical stakeholders to ensure high-quality deliveries Key Requirements: Proven experience as a Technical Tester, Data Tester or similar role Strong hands-on experience with SQL, databases and data structures Experience testing complex data flows and validating large datasets Ability to work independently and take ownership of testing activities Experience with sustainability, ESG or Product Carbon Footprint (PCF) solutions is beneficial Other Details: Location: Aarhus, Denmark (hybrid) Allocation: Full-time Preferred Start Date: 01/09/2026 Start Date: Preferably around September 1st, with October 1st as the latest acceptable date. Initial contract until 31/12/2026 with a strong likelihood of extension into 2027

🏢 Summary: Initial 6-month hybrid contract for an Agile Project Manager to lead cross-functional product teams in delivering value-driven outcomes using Agile practices and AI-enabled delivery approaches. The role focuses on embedding AI into planning, tracking, quality, and reporting to improve speed, predictability, and decision-making. Based in Cork with responsibility for stakeholder alignment, flow optimisation, and continuous improvement. 🗂️ Requirements: 7+ years in Agile delivery roles (Project Manager, Delivery Lead, Scrum Master), Agile certification (Scrum, SAFe or equivalent), Experience in product-based delivery models, Familiarity with AI-enabled delivery tools, Practical understanding of AI and Generative AI, Strong data literacy and ability to interpret delivery metrics, Experience with Jira and Confluence 📃 Skills: Agile, Scrum, SAFe, AI, GenerativeAI, Jira, Confluence, DataAnalysis, Reporting, Automation 🏢 Description: Want to make an impact? We offer that Due to continued growth, we are hiring an Agile Project Manager to join our client in Cork to lead and enable cross-functional product teams to deliver outcome-driven solutions through Agile practices, while embedding AI-enabled ways of working to improve speed, quality, and decision-making. Key Responsibilities: Product & Value Delivery ·       Lead teams to deliver iterative, value-driven outcomes aligned to priorities. ·       Translate objectives into prioritised and outcome-focused delivery plans. ·       Partner with Product roles to support clear backlog definition and value realisation. ·       Identify opportunities to incorporate AI into product and delivery outcomes. AI-Enabled Delivery Execution ·       Embed AI into delivery ways of working to enhance: o   Planning and estimation o   Delivery tracking and reporting o   Quality and testing ·       Use AI tools to accelerate delivery and reduce manual overhead. ·       Ensure responsible, secure and effective use of AI across teams. Team Leadership & Enablement ·       Build and support high-performing, self-organising teams. ·       Coach teams in Agile best practices and AI-assisted delivery approaches. ·       Foster a culture of Accountability, Collaboration and Continuous learning and improvement. Planning & Flow Optimisation ·       Drive adaptive planning across sprints, releases, and delivery timelines. ·       Use data and insights to: o   Improve predictability o   Identify delivery risks and bottlenecks o   Optimise flow and throughput o   Balance pace, quality, and sustainability of delivery Stakeholder Engagement & Transparency ·       Build trusted relationships with stakeholders across business and IT. ·       Provide clear, structured and insight-driven updates. ·       Use data and AI-enabled reporting to improve Transparency, Decision-making and Alignment. Continuous Improvement & Alignment ·       Lead continuous improvement across: o   Team performance o   Delivery processes o   Product outcomes ·       Use retrospectives and delivery metrics to drive evidence-based improvements. ·       Align with Product Delivery Hub standards and practices, contributing to consistent ways of working across the organisation. Requirements: ·       7+ years in Agile delivery roles (Project Manager, Delivery Lead, Scrum Master) ·       Agile certification (Scrum, SAFe or equivalent) ·       Experience working in or alongside product-based delivery models ·       Familiarity with AI-enabled tools and modern delivery practices ·       Practical understanding of AI/Generative AI capabilities ·       Strong data literacy with ability to interpret and act on delivery insights ·       Experience with Jira, Confluence and delivery tooling Success Measures: ·       Improved time to value and delivery predictability ·       Increased team productivity through AI and automation ·       High stakeholder satisfaction and engagement ·       Measurable improvements in flow, quality and delivery outcomes ·       Strong alignment with Product Delivery Hub ways of working Opportunity type: Initial 6-month contract, Hybrid in Cork Start date: ASAP

🏢 Summary: Senior Infrastructure / DevOps Engineer role focused on operating and evolving on-premises infrastructure while expanding cloud capabilities in hybrid environments. The position combines infrastructure administration, automation, CI/CD, and Kubernetes operations, supporting mission-critical production systems. Includes mandatory 24x7 L2 on-call participation to ensure high availability and reliability. 🗂️ Requirements: 7+ years experience in infrastructure or DevOps roles, Strong hands-on experience with on-premises environments, Solid experience with Proxmox and KVM virtualization, Strong Linux systems administration expertise, Proven production experience with Ansible, Knowledge of IP networking, routing, VLANs and firewalls, Experience with SAN/NAS storage and high-availability architectures, Experience with CI/CD tools, Experience with monitoring and observability stacks, Scripting skills in Bash or Python, Experience with PostgreSQL or Oracle administration, Hands-on experience with Docker, Operational knowledge of Kubernetes, Experience with AWS or Azure, Availability for 24x7 L2 on-call rotation 📃 Skills: Proxmox, KVM, Linux, Ansible, CICD, GitLab, Jenkins, Bash, Python, PostgreSQL, Oracle, Docker, Kubernetes, AWS, Azure, Prometheus, Grafana, SAN, NAS, VLAN, Firewalls, IP, Routing 🏢 Description: We are looking for a Senior Infrastructure / DevOps Engineer with strong hands-on experience in on-premises infrastructure and automation, who is evolving or consolidating their skills in cloud environments . This role is critical to the stability, reliability and continuous improvement of our technology platforms, including mission-critical production systems. This position combines infrastructure administration, DevOps practices, automation and continuous operations , with mandatory participation in a x7 on-call rotation (L2 support) . Key Responsibilities On-Premises Infrastructure (Core Focus) Operate, maintain and evolve on-premises infrastructure , ensuring stability, performance and high availability. Administer virtualization environments based on Proxmox (KVM) , including clusters, capacity planning and HA. Manage storage systems (SAN/NAS), including performance, redundancy, backup and recovery. Perform Linux systems administration , including hardening, patching, security and best practices. Work with networking concepts such as IP networking, VLANs, basic routing and firewalls . DevOps & Automation Automate infrastructure provisioning and configuration using Ansible and Infrastructure as Code principles. Build, maintain and improve CI/CD pipelines . Collaborate closely with development teams to improve deployment, reliability and troubleshooting processes. Reduce manual operational tasks through automation and standardization. Cloud Operations (Growth & Consolidation Phase) Operate and support public cloud environments (AWS, Azure) , primarily using IaaS services. Work in hybrid environments (on-prem + cloud) , ensuring integration, security and operational consistency. Apply cloud best practices related to cost management, security and reliability. Operate and support Kubernetes workloads , with a focus on day-to-day operations, networking, storage and troubleshooting. Reliability, Operations & On-Call Ensure high levels of availability, reliability and operational excellence . Participate actively in a 24x7 on-call rotation (L2 support) for production systems. Respond to incidents, perform root cause analysis and define corrective and preventive actions. Implement and maintain solutions (e.g., Prometheus, Grafana) for monitoring, logging and metrics . Collaboration & Documentation Work closely with engineering and product teams in a multidisciplinary environment. Create and maintain clear and practical documentation (runbooks, operational guides, handbooks). Support onboarding and promote operational and infrastructure best practices. Key Requirements 7+ years of experience in infrastructure, systems, DevOps or similar roles. Strong, hands-on experience with on-premises environments . Solid experience with Proxmox (KVM) . Strong knowledge of Linux systems administration . Proven experience using Ansible in production environments. Good understanding of networking fundamentals (IP, routing, firewalls, VLANs). Strong understanding of storage concepts and high-availability architectures. Experience with CI/CD tools (GitLab CI, Jenkins or equivalent). Experience with monitoring and observability stacks . Scripting skills (Bash, Python or similar). Experience with database administration (e.g. PostgreSQL, Oracle). Hands-on experience with container technologies such as Docker. Functional knowledge of Kubernetes , with an operational focus. Experience with public cloud platforms (AWS and/or Azure) . Profile & Mindset Strong operational mindset and sense of ownership. Comfortable working with critical production systems . Able to work autonomously and make technical decisions. Clear interest in growing cloud skills , grounded in strong traditional infrastructure experience. Practical, resilient and solution-oriented approach. Strong communication and collaboration skills. Professional proficiency in English (written and spoken).

🏢 Summary: Full-time Delivery Operations Analyst role focused on managing delivery systems, operational workflows, reporting dashboards, and cross-functional process alignment in a high-growth B2G environment. The position requires strong analytical, CRM/CSP, and data visualization skills to support executive reporting and delivery operations. Based in Arlington, VA with up to 10% travel. 🗂️ Requirements: U.S. Citizenship, Bachelor’s degree in Business, Finance, Data Science, Economics or similar field, or equivalent experience, 3–5 years of experience in Revenue Operations, Sales/Delivery Enablement, Professional Services, or Project Management, Proficiency with CSP or CRM platforms, Experience with data analysis and reporting, Advanced skills in Tableau, PowerBI, Excel, or Google Sheets, Strong written and verbal communication skills, Ability to create training materials and present complex information clearly 📃 Skills: Salesforce, HubSpot, Gainsight, Planhat, Tableau, PowerBI, Excel, Sheets, CRM, CSP, Lean, SixSigma 🏢 Description: Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking a detail-oriented, proactive and expeditious Delivery Operations Analyst to act as the analytical and procedural engine behind our deployment success. In this highly cross-functional, individual contributor role, you will manage the operational frameworks, systems, and data that keep our Delivery team running effectively. You will own the post sale systems of record for the delivery lifecycle, ensuring strict data hygiene and adherence to process. You will be responsible for translating complex implementation data into clear, actionable reporting for the executive and management teams. The ideal candidate is a highly analytical process engineer who loves diving into data, identifying operational bottlenecks, and building scalable workflows in a high-growth B2G environment. This role is a full-time position located out of our office in Arlington, VA and may require up to 10% travel. Scope of Responsibilities • System of Record Ownership: Serve as the primary owner and administrator for the systems, tools, and platforms used by the Delivery team. Ensure strict adherence to data entry protocols and maintain pristine data quality across the delivery lifecycle. • Executive Reporting & Analytics: Design, build, and maintain accurate reporting dashboards. Provide executive leadership and management with real-time visibility into key delivery metrics, including WAU and deployment health/at-risk accounts. • Change Management: Champion process adherence across the Delivery team. Train team members on new tools, system updates, and workflow changes, ensuring high adoption rates and consistent execution. • Process Improvement & Engineering: Continuously audit and analyze current delivery workflows to identify inefficiencies or friction points. • Cross-Functional Alignment: Act as the operational connective tissue between Delivery, Revenue Operations and Product. Ensure seamless data flow, accurate handoffs, and alignment across departments. Qualifications & Skills U.S. Citizenship is required. Bachelor's degree program in Business, Finance, Data Science, Economics, or similar fields, or 1-4 years of equivalent experience. Required: • 3–5 years of experience in Revenue Operations, Sales/Delivery Enablement, Professional Services, or Project Management • Strong proficiency with CSP and/or CRM software such as Salesforce, HubSpot, Gainsight, and Planhat • Ability to pull reports, analyze data, and translate operational metrics into actionable insights • Advanced skills in Tableau, PowerBI, Excel, or Google Sheets • Exceptional written and verbal communication skills • Ability to present complex information clearly and create engaging training materials Desired: • Certifications in process improvement such as Lean Six Sigma or system administration such as Salesforce Certified Administrator • Prior experience operating in the defense technology, federal contracting, or government SaaS space We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.