FinOps Program Manager, AI Enablement

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 help strengthen a self-service data platform and business insights capability in a large retail environment where governed self-service, scalable data products, and reliable reporting are central to the roadmap. The role combines hands-on data engineering with platform operations, governance, observability, and cost control, giving you the chance to turn platform standards into repeatable ways of working. You will primarily work within a platform-focused team while also supporting reporting and analytics delivery when needed. This is a strong opportunity if you want to influence how data products are built, operated, monitored, and improved in a modern Microsoft ecosystem. Job DescriptionYou will build and operate data products in Microsoft Fabric, from ingestion to consumption-ready layers. You will develop end-to-end solutions across Bronze, Silver, and Gold layers, including transformations, modeling, and publication. You will create reusable templates, parameterized pipelines, metadata-driven ingestion patterns, notebook libraries, and other scalable delivery patterns. You will implement data contracts, metadata standards, lifecycle controls, and ownership structures for domain-owned data products. You will strengthen operational governance through data quality controls, validation rules, certification criteria, and supporting documentation. You will implement and operate catalog, lineage, classification, ownership, and data quality capabilities using Microsoft Purview and Fabric-native functionality. You will build dashboards and reporting for platform health, pipeline reliability, refresh status, usage, incidents, and cost visibility. You will track SLAs and SLOs, improve incident routines and runbooks, and support continuous improvement of platform operations. You will work with day-to-day FinOps, including capacity utilization, cost allocation, anomaly detection, and optimization recommendations. You will support onboarding of teams to platform standards, working methods, and reusable engineering practices. RequirementsStrong hands-on data engineering using PySpark or Spark, SQL, Python, pipeline orchestration, and incremental-loading patterns. Hands-on experience with Microsoft Fabric, or strong Databricks or Synapse experience with a clear transfer path to Fabric, including Lakehouse, notebooks, pipelines, and OneLake or equivalent concepts. Experience building reusable pipelines and data products using frameworks and templates rather than only one-off deliveries. Practical experience implementing governance related to data quality, metadata, catalog tooling, documentation, and operational controls. Experience with monitoring, operational reporting, platform support, and troubleshooting. Strong scripting and automation capability. Ability to work across technical teams, governance stakeholders, and business stakeholders with strong documentation discipline. Minimum approximately five years of relevant data-engineering experience with operations or governance exposure. Clear communication skills in English. Nice to haveExperience with Microsoft Purview, including catalog, lineage, Data Map, and quality capabilities. Experience with Fabric operations, including Capacity Metrics App, Monitoring Hub, workspace monitoring, and usage reporting. Experience with data-quality tooling such as Great Expectations, dbt tests, or equivalent. Experience in FinOps or cloud cost management. Experience tracking SLAs and SLOs and working with incident-management and platform-support processes. Experience with CDC and event-driven ingestion. Relevant certification such as DP-700. 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.

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM Our mission is to enable effective financial decisions through reliable data, increased efficiency, and automation. We support Marketing, Sales, Seller, Accounting, Tax, Finance and Strategy (F&S), Finance Operations (FinOps), and Treasury functions across automation, data insights, and process improvements. You may work on a wide variety of critical business areas including Seller Systems — Responsible for building the systems and tooling that make sellers and internal revenue teams at Stripe dramatically more productive and effective. We partner with Sales, Finance, Legal, and Product to deliver a single "plane of glass" selling experience that spans deal creation and modeling, negotiation and approvals, contracting, onboarding, and activation. The Seller Systems team composes first‑party, custom Stripe components with best‑in‑class third‑party business systems to deliver configurable, auditable, and globally scalable workflows. Engineers on Seller Systems build services, APIs, integrations, data pipelines, and internal UIs that power seller productivity, reduce time‑to‑activation, improve deal velocity, and enable AI‑driven assistive workflows. Use cases include deal modeling and pricing engines, approval and orchestration platforms, CLM/CPQ integrations, onboarding automation, seller analytics, and AI‑assisted seller tooling. Finance Engineering — Responsible for building the robust and scalable infrastructure that powers the company's core financial operations, including payments processing, fund settlement, accounting, and business intelligence. The Finance Engineering team is at the core of Stripe to empower business-critical financial domains including Accounting, Finance operations, Finance and Strategy, and Treasury. Engineers on the Financial Engineering team build platforms, data pipelines, and financial products for the Finance team. The use cases include financial analytics and insights, accounting automation, auditing, financial planning and forecasting, and financial business intelligence. Marketing and Sales Systems — Responsible for building the most measurable, cross-channel messaging capability possible, to attract and engage customers. We do this through scalable motions, with the most relevant messaging and increasing reach of our marketing motions. We are a cross-functional team of engineers, analysts, marketers, and product managers that deliver the insights, internal systems and tools that fuel growth at Stripe. As part of the Marketing Systems team, you own systems that power go-to-market motions productizing gathered insights and intelligence. This includes building tools that 1/ power better digital experiences, 2/ accelerate customer journey with intelligent orchestrations, 3/ drive smarter decisions with CDP, and 4/ improve marketer and seller productivity. WHAT YOU'LL DO We're looking for Software Engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You'll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams — from Infrastructure to Product — at Stripe to deliver innovative solutions that address evolving user needs. RESPONSIBILITIES * Design, build, and maintain beautiful, robust, and high-performance APIs and services * Ensure our infrastructure is extensible, scalable, reliable, and meets service-level agreements for both external and internal users  * Hide complexity from our users behind simple yet powerful abstractions  * Partner closely with other engineers, analysts, and scientists to build highly scalable systems, to deliver delightful developer experiences and comprehensive interfaces  * Build the APIs that power internal stakeholder-facing UI experiences, defining composable data models and durable interfaces  * Debug production issues across services and multiple levels of the stack with an eye towards improving maintainability over the long term  * Improve engineering standards, tooling, and processes WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 8+ years of experience designing, implementing, and operating large-scale, high-performance APIs and services  * You have implemented server-side APIs in dynamic languages like Ruby, working with document and relational datastores (especially Mongo and MySQL) and enjoy spelunking through new datasets (especially in systems like Redshift, Presto, or Trino). * Empathetic, collaborative, and user-first mindset in everything you build and have excellent oral and written communication * Experience proactively seeking feedback from users, teammates, and subject matter experts * The skills to build holistically — from specs and documentation to implementation, testing, deployment, and measuring impact and ability to balance speed, complexity, and scope in service of user needs PREFERRED QUALIFICATIONS * Experience with large-scale financial tracking systems  * Good understanding and practical knowledge in cloud-based services (e.g. gRPC, GraphQL, Docker and Kubernetes, cloud services such as AWS, etc.)  * Experience in marketing domain building products that contribute to marketing tech stack  * Experience with machine learning, recommender systems, product-led growth, or lifecycle marketing  * Prior experience building distributed systems or a microservices architecture