Nordic Investin is recruiting a Senior Cloud Security Engineer on behalf of one of our partner companies. You want cloud security to be expressed in code, guardrails and useful feedback rather than a document teams discover during review. The partner is expanding workloads across Azure or AWS and needs stronger preventive and detective controls. You will build security capabilities into the platform and work directly with engineering teams on adoption. Security work is expected to reduce real exposure while preserving the organisation’s ability to deliver. The strongest candidates can connect a technical weakness with a credible threat, an appropriate control and a practical path to implementation. How you will work You will work directly with the people who design, operate and depend on the systems being protected. Recommendations must identify the threat, the affected asset and a realistic implementation path. The partner values careful evidence, proportionate controls and clear escalation when risk cannot be removed immediately. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Implement cloud security policies and automated controls. Strengthen identity, privilege and workload access patterns. Secure network boundaries, secrets and encryption. Integrate security checks into infrastructure pipelines. Develop monitoring and response for cloud threats. Investigate findings and help teams remove root causes. What you will bring Hands on Azure or AWS security engineering. Strong IAM, networking and encryption knowledge. Infrastructure as code and policy as code experience. Understanding of containers and cloud native workloads. Ability to script or develop security automation. Professional English and collaborative problem solving. Experience that would add value CNAPP, CSPM or cloud detection engineering. Kubernetes security. Experience in a regulated cloud environment. A background that can succeed here Your background might be cloud engineering with a security focus, security operations moving into automation or application security that expanded into platforms. We care about controls you have implemented and operated. What makes the opportunity interesting You will have the access and mandate to improve the cloud foundation itself. The partner offers complex environments, modern tooling and close collaboration with the teams whose work your controls protect. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

One of Nordic Investin’s partner companies is looking for a Cybersecurity Architect, with Nordic Investin leading the recruitment process. You can raise security standards without separating security from the engineering and business decisions that create risk. The partner is strengthening security across cloud, applications and enterprise technology. You will define architecture guidance, review major initiatives and help teams choose controls that are proportionate, usable and defensible. Security work is expected to reduce real exposure while preserving the organisation’s ability to deliver. The strongest candidates can connect a technical weakness with a credible threat, an appropriate control and a practical path to implementation. How you will work You will work directly with the people who design, operate and depend on the systems being protected. Recommendations must identify the threat, the affected asset and a realistic implementation path. The partner values careful evidence, proportionate controls and clear escalation when risk cannot be removed immediately. This is a leadership role with hands on responsibility for direction, decisions and the capability of others. You will create enough structure for teams to move independently, while stepping into detail when risk or ambiguity demands it. The partner wants visible ownership without unnecessary hierarchy. What you will do Develop security architecture principles and reference patterns. Perform threat modelling and design reviews for critical initiatives. Guide identity, network, data and application security decisions. Translate regulatory and risk requirements into implementable controls. Support exception decisions and document residual risk clearly. Coach engineers and architects on secure design. What you will bring Broad security architecture and engineering experience. Strong cloud, identity and application security knowledge. Experience with threat modelling and risk assessment. Ability to evaluate controls in their operational context. Credible communication with technical teams and leadership. Professional English; Swedish may be needed for certain partners. Experience that would add value Zero trust programmes or large cloud transformations. Security work in finance, energy, healthcare or public services. Relevant certifications backed by practical delivery. A background that can succeed here You may have developed from cloud engineering, application security, infrastructure or consulting. The partner values architects who remain technically current and can explain why a control matters in the specific design. What makes the opportunity interesting The role provides broad influence and early access to important technical decisions. You will help teams make secure choices before risk becomes expensive to remove. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

Nordic Investin has been engaged by a partner company to find a Senior PostgreSQL Migration Engineer. You enjoy migrations where success means application behaviour, performance and operational confidence all survive the move. The partner is carrying out a large Oracle to PostgreSQL migration. Most of the role is hands on migration delivery, with additional responsibility for reviewing the target setup and improving its structure, performance and operating model. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Convert schemas, data types, procedures and database services. Plan and execute data migration with reconciliation controls. Tune queries, indexes, vacuum behaviour and configuration. Support application teams adapting SQL and database interactions. Design cutover, rollback and validation procedures. Review the PostgreSQL estate and recommend practical improvements. What you will bring Deep PostgreSQL engineering and administration experience. Hands on Oracle to PostgreSQL migration work. Strong SQL performance analysis and indexing skills. Experience with high availability, backup and recovery. Scripting and migration automation ability. Clear communication across application and database teams. Experience that would add value AWS DMS, ora2pg or comparable migration tooling. Very large databases or tight downtime windows. Regulated transaction systems. A background that can succeed here You may come from database engineering, application performance or enterprise migration consulting. The partner needs someone who understands both engines and can explain what must change rather than treating migration as a mechanical export. What makes the opportunity interesting This role offers a clear technical mission and visible milestones. You will solve difficult compatibility and performance problems while influencing the PostgreSQL standards that remain after the migration ends. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

Nordic Investin is recruiting a Lead Data Architect on behalf of one of our partner companies. You can create a coherent data direction without pretending every domain should use the same model, platform or pace of change. The partner is reshaping how data is owned, shared and used across products and analytics. You will define architecture principles, guide platform choices and help domains establish data products with clear responsibility. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. This is a leadership role with hands on responsibility for direction, decisions and the capability of others. You will create enough structure for teams to move independently, while stepping into detail when risk or ambiguity demands it. The partner wants visible ownership without unnecessary hierarchy. What you will do Define target data architecture and staged transition plans. Clarify ownership, contracts and interoperability across domains. Guide warehouse, lakehouse, streaming and operational data patterns. Embed governance, privacy and lifecycle requirements in designs. Review major initiatives and resolve cross team dependencies. Communicate investment choices to technical and executive audiences. What you will bring Extensive data engineering or architecture experience. Strong knowledge of modelling, integration and cloud data platforms. Experience designing across analytics and operational use cases. Understanding of governance, privacy and security. Ability to influence distributed teams without centralising every decision. Professional English and strong visual and written communication. Experience that would add value Data mesh or federated governance in practice. AI platform architecture. Large migration or merger integration experience. A background that can succeed here You may have led data platforms, enterprise architecture or complex transformation programmes. The partner needs someone who can connect strategic decisions with the pipelines, models and accountabilities required to make them real. What makes the opportunity interesting The role offers organisation wide influence and access to consequential investment decisions. You will help create a data environment that can support current reporting needs and the next generation of intelligent products. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

One of Nordic Investin’s partner companies is looking for an MLOps Platform Engineer, with Nordic Investin leading the recruitment process. You want data scientists to experiment freely while production models remain reproducible, observable and governable. The partner is scaling machine learning across several teams and needs a common platform for training, deployment and monitoring. You will build the paved paths that connect experiments with reliable services. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Create reusable training and inference infrastructure. Automate model packaging, validation and deployment. Build feature, registry and experiment tracking integrations. Implement monitoring for data and model behaviour. Manage compute, access and cost controls. Support teams adopting the platform through examples and documentation. What you will bring Production platform, DevOps or machine learning engineering experience. Strong Python and cloud infrastructure knowledge. Containers, Kubernetes and CI CD. Experience with ML lifecycle tools such as MLflow or managed cloud services. Infrastructure as code and observability skills. Ability to design for both researchers and operators. Experience that would add value GPU workload orchestration. Feature stores and online inference. Governance in healthcare, finance or public services. A background that can succeed here Your route may be from platform engineering into machine learning or from data science into production systems. We value people who understand both experimentation speed and operational control. What makes the opportunity interesting The partner offers a platform at the point where good foundations will have lasting influence. You will multiply the effectiveness of several ML teams and see your work reflected in faster, safer releases. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

Nordic Investin has been engaged by a partner company to find a Senior Generative AI Engineer. You want to build generative AI systems that are useful because retrieval, evaluation, permissions and workflow design are treated as engineering problems. The partner is developing AI assisted capabilities for knowledge intensive work. You will create production applications around language models, test their behaviour and connect them safely to enterprise data and tools. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Design retrieval augmented generation and agent workflows. Build evaluation suites for quality, safety and regression testing. Integrate models with documents, APIs and business systems. Implement identity, permission and audit controls. Optimise latency, context use and operating cost. Work with domain experts to define useful human review patterns. What you will bring Strong Python and backend engineering experience. Hands on work with language model APIs and orchestration frameworks. Knowledge of embeddings, retrieval and vector search. Experience evaluating nondeterministic systems. Cloud deployment, observability and security awareness. Ability to challenge a use case when a simpler solution is better. Experience that would add value Fine tuning or model hosting. Information retrieval or search engineering. Enterprise knowledge management and document processing. A background that can succeed here You may come from NLP, search, backend engineering, data platforms or applied AI research. The partner is looking for production judgement rather than a collection of demos. What makes the opportunity interesting You will work on high interest technology with the discipline required for lasting value. The role provides direct access to users, complex information problems and room to shape the engineering standards for future AI products. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

On behalf of a partner company, Nordic Investin is looking for a Senior Machine Learning Engineer. You are interested in models that perform after deployment, when data shifts, latency appears and users behave differently than the notebook assumed. The partner is moving machine learning capabilities into core products and workflows. You will develop models and the production systems around them, working with data scientists, platform engineers and product teams. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Build and productionise machine learning models in Python. Design feature, training and inference pipelines. Evaluate models against product and operational requirements. Improve monitoring for quality, drift, latency and cost. Create reproducible experimentation and deployment workflows. Guide technical choices between classical ML, deep learning and simpler rules. What you will bring Strong Python and applied machine learning experience. Evidence of deployed models used in a real product or process. Solid software engineering, testing and API development. Experience with cloud compute, containers and data pipelines. Understanding of model evaluation and monitoring. Ability to explain uncertainty and tradeoffs to non specialists. Experience that would add value NLP, computer vision or geospatial modelling. Spark, Databricks or large scale feature processing. Experience in a regulated decision environment. A background that can succeed here Your background may be software engineering, data science, applied research or quantitative analysis. We care that you can connect model performance with production behaviour and user value. What makes the opportunity interesting This is a role for someone who wants ownership beyond training a model. The partner offers meaningful data, strong engineering collaboration and the opportunity to shape how machine learning becomes a dependable product capability. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

One of Nordic Investin’s partner companies is looking for a Senior Data Engineer, with Nordic Investin leading the recruitment process. You want data products to be dependable enough that analysts stop building workarounds around the platform. The partner is developing modern analytics products for a data driven organisation. You will create pipelines, models and services that make complex data accessible while improving quality, lineage and operational ownership. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Build batch and streaming data pipelines. Model trusted datasets for analytics and machine learning. Develop APIs and services that expose data products. Improve orchestration, testing and data quality controls. Optimise performance and cost across the platform. Collaborate with analysts, product managers and application engineers. What you will bring Strong Python and SQL in production data environments. Experience with a cloud data platform such as Databricks, Snowflake or BigQuery. Knowledge of orchestration, transformation and data modelling. Experience with CI CD and infrastructure as code for data systems. Understanding of data quality, governance and observability. Professional English and product oriented collaboration. Experience that would add value dbt and modern analytics engineering practices. Kafka or another streaming platform. Experience supporting AI or advanced analytics products. A background that can succeed here Your background may be data warehousing, backend engineering, analytics platforms or large scale ETL. We are interested in engineers who treat datasets as maintained products with owners and users. What makes the opportunity interesting The role covers the full path from raw data to a capability people use. The partner offers significant technical scope and the chance to influence both platform patterns and individual analytics products. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

Nordic Investin has been engaged by a partner company to find a Microsoft Copilot Studio and Power Platform Developer. You want to build enterprise AI and automation that survives contact with real processes, permissions and data. The partner is introducing intelligent agents and low code solutions across internal workflows. You will design Copilot Studio agents, Power Apps and Power Automate flows that integrate safely with Microsoft 365 and enterprise systems. The platform is treated as a service used by engineers and business teams. Success will be measured through safer change, lower operational friction and clearer ownership rather than the number of tools introduced. How you will work The work combines planned platform development with investigation of real production behaviour. You will collaborate with application teams, security and operations, using their feedback to decide what should become a shared service, an automated control or clear documentation. Ownership continues after the first release. You will receive meaningful ownership while working with senior colleagues on the most consequential decisions. The partner expects you to deliver independently within a clear area, ask for context early and contribute ideas grounded in what you observe. There is room to deepen your specialism or broaden toward adjacent responsibilities. What you will do Develop and operate Copilot Studio agents for business processes. Build Power Apps and Power Automate solutions. Model data and permissions in Dataverse. Integrate Microsoft 365, SharePoint, APIs and Azure services. Apply environment, lifecycle and governance standards. Work with users to test behaviour and improve adoption. What you will bring Hands on Power Platform solution delivery. Experience with Copilot Studio or conversational agent development. Good understanding of Dataverse security and solution management. Ability to build connectors and API integrations. Awareness of data protection, identity and enterprise governance. Professional English; Swedish is valuable for user facing work. Experience that would add value Azure Functions or custom connector development. Microsoft 365 administration or SharePoint development. Experience moving prototypes into governed production use. A background that can succeed here You may come from software development, business applications, automation or technical consulting. The right person combines process curiosity with enough engineering depth to recognise when low code needs a coded extension. What makes the opportunity interesting You will work close to users and see solutions adopted quickly. The partner offers a growing platform, visible use cases and the opportunity to set patterns before the organisation scales its agent portfolio. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

On behalf of a partner company, Nordic Investin is looking for an Infrastructure Automation Engineer. You see a repeated manual change as an invitation to design a safer system. The partner is modernising infrastructure management across cloud and on premises environments. You will replace fragile procedures with tested automation and give operations teams clearer, repeatable ways to deliver change. The platform is treated as a service used by engineers and business teams. Success will be measured through safer change, lower operational friction and clearer ownership rather than the number of tools introduced. How you will work The work combines planned platform development with investigation of real production behaviour. You will collaborate with application teams, security and operations, using their feedback to decide what should become a shared service, an automated control or clear documentation. Ownership continues after the first release. You will receive meaningful ownership while working with senior colleagues on the most consequential decisions. The partner expects you to deliver independently within a clear area, ask for context early and contribute ideas grounded in what you observe. There is room to deepen your specialism or broaden toward adjacent responsibilities. What you will do Automate provisioning and configuration using code. Create reusable modules, roles and pipeline workflows. Integrate infrastructure changes with review and testing practices. Improve inventory, secrets and environment consistency. Support Windows and Linux services across hybrid estates. Investigate failures and remove their recurring causes. What you will bring Experience with Terraform, Ansible, PowerShell or Python. Good Windows or Linux administration fundamentals. Understanding of networks, identity and infrastructure services. Experience using Git and automated delivery pipelines. Ability to document and communicate operational change. Professional English and methodical problem solving. Experience that would add value VMware, Nutanix or public cloud platforms. Policy as code and automated compliance. Migration from ticket driven infrastructure processes. A background that can succeed here You may have started in system administration, network operations or software support and moved toward automation. We want someone who understands why the manual process exists before replacing it. What makes the opportunity interesting The partner offers a broad environment and a clear mandate to reduce toil. You will build tools that colleagues use every day and develop deeper skills in platform engineering and infrastructure as code. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.