Senior AI Tooling Engineer - Adoption & Enablement, Lund

AXIS COMMUNICATIONS AKTIEBOLAG

At Axis, we are building the conditions for engineers to succeed with AI in their everyday work, not as a separate capability, but as a natural way of working. We are looking for a Senior AI Tooling Engineer to drive adoption and enablement of AI across our R&D organization. You will play a key role in helping hundreds of engineers integrate AI into their daily workflows. Location: Lund HQ (on site) Meet your team You will join the AI team, a small and collaborative group within R&D Tools, a Platform Engineering organization supporting Axis developers. While much of R&D Tools focuses on AXIS OS (our Linux-based operating system), the AI team works across the full R&D organization. We develop and evolve a shared AI platform for developers, working closely with teams through training, coaching and hands-on support. Insights from across the organization are captured and turned into scalable solutions, best practices and improved developer experiences. We value openness, trust, and continuous improvement and enjoy building things together with curious and highly skilled colleagues. What will you do? You will act as an internal AI evangelist, contributing to adoption across the organization. You will: Enable engineers Support hands-on integration of AI into workflows, from coding and debugging to design and decision. Stay current Keep up with developments in AI and turn them into practical ways of working. Strengthen learning and adoption Build on our AI community and other formats to support continuous learning and effective use of AI. Evolve the AI platform Improve tools, workflows and integrations based on developer needs and feedback. Connect insights Identify patterns across teams and turn them into guidelines and reusable solutions. Bridge technology and organization Translate AI developments into clear, actionable guidance, including considerations around quality, security and responsible use. This is a role with strong informal leadership, where you will influence how engineers work and help shape the direction of AI adoption across R&D. Who are you? You are a strong engineer who enjoys working through others as much as building yourself. You combine technical credibility with strong communication skills and a genuine passion for helping others. You are comfortable navigating a large organization and building trust across teams. You understand that real impact comes from understanding people, not just technology. At Axis we value a team spirit built on freedom, openness and ambition. You thrive in a collaborative environment and enjoy working across teams and roles. You likely recognize yourself in: Great interest in how AI is changing engineering practices and workflows Strong background in software engineering at scale Experience working with developer tools and workflows (e.g. GitHub Copilot, VS Code) Experience from platform engineering or shared developer infrastructure Ability to build trust and influence how others work What Axis have to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance, developing solutions used worldwide. As a fast-growing company, we offer exciting career opportunities. You'll grow professionally through continuous learning, supported by a collaborative team that values creativity, innovation and work-life balance. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Your well-being matters to us. We offer a range of benefits, including a company bonus, Friday cake, wellness allowance, health insurance and even your own Axis bicycle. To learn more about Axis, our innovative products, solutions, and vibrant company culture, explore: Life at Axis blog Engineering at Axis blog Innovation at Axis Interested? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications. We review applications continuously. Please note that the recruitment process may take longer than usual due to summer holidays and you can expect feedback from mid-August. In case of questions, please reach out to recruiting manager Emely Jonasson at +46 46 272 18 00.

Avaron AB

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will join a hands-on engineering role focused on making modern development smoother, faster and more reliable. The work centers on improving developer productivity through internal tooling, reusable automation and scalable CI/CD solutions, while also supporting Azure-based data platforms in a cross-functional environment. This role suits you if you enjoy building practical solutions that other engineers rely on every day. You will work close to engineering and platform teams, with plenty of room to influence how workflows, quality and traceability are improved across the broader technical landscape. It is a great opportunity if you want to combine software engineering, DevOps and data-platform work in a role where your solutions will have clear and visible impact. Job DescriptionYou will develop Python-based automation, internal tooling and engineering workflows for production-oriented use. You will build, maintain and improve GitHub Actions, GitHub Workflows and reusable CI/CD pipelines. You will support Azure-based data platforms, including Databricks and related technologies. You will help strengthen software quality, traceability and engineering processes across teams. You will collaborate with engineers and platform specialists to deliver scalable technical solutions. You will contribute in both Windows and Linux environments, with a focus on reliable delivery and efficient development flows. RequirementsStrong Python skills for production-oriented automation and tooling. Practical hands-on experience with Azure Databricks, ideally including development of notebooks, pipelines or jobs, or Spark-based solutions. Experience with Azure data-platform technologies such as Spark, Kafka, Hadoop, schema enforcement, data quality validation or Power BI. Hands-on experience with GitHub Actions, GitHub Workflows and reusable workflow design. Solid Docker experience. Experience working with CI/CD in Windows and Linux environments. Ability to work independently while collaborating across teams. EU citizenship. Nice to haveExperience with data governance and data modelling. Experience with machine learning model deployment. Experience with GitHub CLI, REST APIs or GraphQL APIs. Experience with JFrog Artifactory or similar tools. Experience with Bash and or PowerShell. Experience with Git LFS. Experience with GitHub Enterprise Server and self-hosted runners. Experience with AI-powered developer tools or agentic engineering workflows. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

Induconsult Sverige AB

Role Summary We are looking for a hands-on Senior AWS Platform Engineer to own and evolve the cloud platform used by our engineering teams in Lund. This role is focused on shared platform ownership rather than ownership of a single backend module. You will work closely with module owners to make it easier, safer, and faster to build, deploy, monitor, and operate production systems on AWS, including event-driven backend services. We currently use Kubernetes and GitOps-based deployment workflows and are migrating toward a more managed AWS platform. Our backend architecture is event-driven, with IoT-like flows built around events, queues, message brokers, and AWS services such as EventBridge. You will help shape the transition by improving deployment pipelines, infrastructure patterns, managed AWS services, observability, database operations, and backend-facing automation. This is an individual contributor role for someone who combines deep AWS and DevOps experience with strong practical Python skills. What you will do You will own and improve the shared AWS platform capabilities that our backend teams and event-driven services rely on. Your responsibilities will include: • Designing, building, and operating AWS infrastructure used by production backend services. • Driving the migration from existing Kubernetes and GitOps workflows toward managed AWS patterns. • Improving CI/CD, deployment automation, release safety, and rollback workflows. • Building and maintaining Infrastructure as Code, preferably using Terraform and/or AWS-native tooling. • Supporting secure and reliable use of AWS services such as IAM, VPC, RDS, CloudWatch, EventBridge, SQS/SNS, SSM/Parameter Store, Secrets Manager, Lambda, ECS/EKS, ElastiCache/Redis, and related services. • Supporting event-driven architecture patterns, including events, queues, pub/sub, message brokers, caching/Redis, and asynchronous service integration. • Helping backend module owners with platform-related design decisions, event boundaries, production readiness, debugging, and operational improvements. • Supporting managed database operations on AWS, including monitoring, access patterns, backups, restore readiness, performance, and migration support. • Writing Python tooling, automation, and backend/platform code where it improves developer productivity, event-driven integrations, or operational quality. • Improving observability, logging, metrics, alerting, and incident response practices, including visibility into asynchronous event flows, queues, failed messages, and cache behavior. • Identifying and reducing manual, repetitive, or error-prone DevOps work through automation and AI-assisted workflows. • Pushing back on fragile technical solutions and helping teams choose pragmatic, reliable alternatives. This is not a ticket-based operations role. We are looking for someone who takes responsibility for platform outcomes and continuously improves the systems that other engineers depend on. What we are looking for You should already be comfortable working with production systems and taking ownership of cloud infrastructure, deployment workflows, and operational quality. Must-have experience: • Strong hands-on experience with AWS in production environments. • Deep understanding of DevOps, platform engineering, CI/CD, event-driven systems, and infrastructure automation. • Experience with Kubernetes and GitOps-based deployment workflows. • Experience with event-driven or asynchronous backend systems using events, queues, pub/sub, message brokers, EventBridge, SQS/SNS, Redis/ElastiCache, or similar technologies. • Experience migrating or modernizing infrastructure toward managed AWS services. • Strong practical Python experience, either in backend development, event consumers/workers, platform tooling, automation, or internal developer tools. • Experience with Infrastructure as Code, preferably Terraform. • Good understanding of IAM, networking, secrets and configuration management, monitoring, caching, and secure access patterns. • Experience supporting production systems through incidents, debugging, logs, metrics, retries, queue behavior, and operational improvements. • Ability to work closely with backend engineers and help them make better platform and deployment decisions. Important profile traits • Treats platform engineering as a product for developers. • Cares about production behavior, not only infrastructure correctness. • Has strong judgment around reliability, security, cost, and developer experience. • Can make local technical decisions independently. • Is pragmatic and avoids over-engineering. • Is comfortable being accountable for shared platform quality. • Can explain trade-offs clearly to backend engineers and technical leads. • Has embraced AI-assisted development and agentic workflows as practical engineering tools, while still applying strong review, testing, and security discipline. AI-assisted engineering DevOps work includes command-, configuration-, and settings-heavy tasks. We expect this person to be comfortable using modern AI-assisted development tools to reduce manual work, improve speed, and increase quality. This could include using AI tools such as Claude Code to help draft or review Terraform, Kubernetes manifests, CI/CD pipelines, AWS configuration, Python tooling, runbooks, debugging workflows, and documentation. We do not mean blindly trusting generated output. We are looking for someone who knows how to use AI tools responsibly: with review, tests, least-privilege access, clear auditability, and good engineering judgment. Nice to have • Experience with EKS, ECS, Lambda, EventBridge, SQS/SNS, API Gateway, ElastiCache/Redis, MSK/Kafka, or other AWS-native and event-driven runtime patterns. • Experience with RDS operations, database migrations, PostgreSQL, or performance tuning. • Experience with OpenTelemetry, Prometheus, Grafana, DataDog, or similar observability tooling. • Experience with AWS cost optimization / FinOps. • Experience with platform self-service, golden paths, internal developer platforms, or paved-road engineering. • Experience in IoT-like event-driven systems, optimization, control systems, or data-intensive backend systems. • AWS certifications or equivalent demonstrated experience.