
Avaron AB · Stockholm
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists acro...
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 take technical ownership of a modern GCP platform that supports cloud-native services, shared engineering capabilities, and scalable delivery through an external MSP. This is a role where architecture, platform engineering, and technical governance come together, and where your decisions will shape how the platform grows over time.
You will work close to both business needs and implementation, turning ideas into clear technical direction while making sure code, infrastructure, and delivery standards stay consistent across the platform. If you enjoy combining hands-on platform work with architectural influence, this is a chance to make a real mark in a cloud-first environment.
Job DescriptionYou will own the technical roadmap for the GCP platform and drive the design of future capabilities using modern cloud-native practices.
You will set architectural direction by translating business needs into detailed solution designs and technical Jira stories for execution.
You will act as the final approver for code merged across the platform and uphold internal engineering standards for TypeScript and Python microservices.
You will use and tune internal AI harnesses and agentic workflows to automate pull request reviews, manage repository context, and strengthen platform governance.
You will maintain and evolve Terraform modules for GCP projects, networking, and firewall policies.
You will oversee GitHub Actions workflows, custom NPM packages, and event-driven orchestration with Cloud Run, Cloud Functions, and EventArc.
RequirementsAbility to design and architect GCP platform capabilities using modern cloud-native best practices.
Strong knowledge of TypeScript and Python microservices.
Ability to review and approve code against defined engineering standards.
Experience with Terraform and infrastructure as code for GCP projects, networking, and firewall policies.
Experience with GitHub Actions and CI/CD workflow management.
Knowledge of custom NPM package management.
Knowledge of Cloud Run, Cloud Functions, and EventArc.
Ability to translate business needs into detailed architectural designs and technical Jira stories.
Experience using AI-supported workflows for PR reviews, repository context management, or platform governance.
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.
About the Role We are seeking a Senior Software Engineer with a deep background in Google Cloud Platform (GCP) infrastructure, cloud-native architecture, and AI-augmented engineering. You will be taking over a mature, minimal-technical-debt platform spanning over 30 repositories across core GCP services, alongside shared Multi-Cloud (GCP/Azure) environments covering documentation, guidelines, and routines. In this role, you will be the technical anchor for our GCP environment. You will be responsible for "holding" the current setup—ensuring stability, security, and code quality—while simultaneously creating the vision and architectural roadmap for future platform development. Because we work with a Managed Service Provider (MSP) for development execution, this role requires a strong Technical Design Authority. To scale our governance and streamline code-level oversight, we leverage AI tooling and agentic workflows to assist with automated PR reviews and platform context. You will dictate the architecture to the outsourced team while utilizing and evolving these AI capabilities to maintain our high standards efficiently. Core Responsibilities Platform Vision & Strategy: Own the technical roadmap for the GCP platform. Design and architect future capabilities, ensuring the platform evolves using modern, cloud-native best practices. Technical Gatekeeping & Code Review: Act as the final approver for all code merged across the platform by the MSP. Enforce strict internal standards for TypeScript and Python microservices. AI-Augmented Governance: Utilize and tune internal AI harnesses and agentic workflows to automate PR reviews, manage repository context, and enforce platform standards. Architectural Direction (TDA): Translate business needs into highly detailed architectural designs and technical Jira stories, providing exact technical direction for the MSP to execute. Infrastructure as Code (IaC): Maintain and evolve our Terraform modules, managing the lifecycle of GCP projects, networking, and firewall policies. CI/CD & Ecosystem Management: Oversee GitHub Actions workflows, custom NPM packages, and event-driven orchestration (Cloud Run, Cloud Functions, EventArc). Required Technical Skills Google Cloud Platform (GCP): Expert-level knowledge of GCP core services, IAM, networking, security policies, and serverless compute. Software Engineering: Deep proficiency in TypeScript and Python. You must be highly capable of reading, writing, and reviewing complex application logic. AI & Agentic Engineering: Practical knowledge of agentic coding and AI-assisted engineering. You should understand how to leverage, prompt, and maintain AI tools that interact autonomously with codebases. Infrastructure as Code: Extensive, hands-on experience with Terraform (module design, state management, and enterprise deployments). CI/CD & Automation: Strong experience with GitHub Actions and automated quality/security gates. Multi-Cloud Awareness: While this role is heavily GCP-focused, a working knowledge of Microsoft Azure is highly advantageous to align our multi-cloud strategies and shared repositories. The Ideal Candidate Profile You are a Senior Software Engineer who transitioned into Cloud Architecture and Infrastructure, and you embrace the shift toward AI-augmented development. You understand that "Infrastructure is Code" and you treat Terraform with the same rigor as an application backend. You are comfortable being the sole technical visionary for a platform, utilizing AI to enforce strict quality gates, and dictating architectural patterns to an external development team.
About Kambi Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate service and solution to our partners. Our vision is to create the world’s leading sports betting experiences, together with our partners. Purpose Be part of a highly skilled, self-organized engineering team building scalable data and machine-learning infrastructure in the cloud. You’ll help design and evolve event-driven data pipelines and model-serving capabilities that power high-value decision-making across the business, working closely with key stakeholders and quantitative analysts to turn complex data into actionable insights and deliver Player and Risk Management products. Key Responsibilities Collaborate with engineers and analysts to design, implement, and maintain cloud-native data and ML services. Build and optimize streaming and batch data workflows with Kafka, dbt/SQL, and related technologies. Develop robust backend components and services in Java/Spring Boot and contribute to model-serving capabilities in Python where appropriate. Contribute to architectural discussions and propose practical solutions in a fast-moving, exploratory environment. Champion best practices in testing, monitoring, and observability to keep data products reliable and secure. Desired Skills & Experience (You don’t need to tick every box, strong skills in several areas plus willingness to learn are what matter most.) Java/Spring Boot expertise (core requirement). Proficiency in Python for data and ML workflows. Hands-on experience with cloud platforms (AWS, GCP, or similar) and modern CI/CD pipelines (e.g., Jenkins, Argo CD). Familiarity with Kafka and dbt/SQL for streaming and transformations. Experience with Spark or similar distributed processing frameworks is a plus. Personal Qualities (Critical for Success) Driven & Self-Motivated – thrives when goals evolve and problems are ambiguous. Communicative & Collaborative – shares ideas openly and builds trust across disciplines. Curious & Adaptive – eager to explore new tools and approaches. Humble & Team-Oriented– values collective achievement in a highly self-organized team. Interested in learning more? Please submit your CV and a cover letter — we’d love to hear from you! #wearekambi Kambi's ongoing commitment to Diversity and Inclusion in the workplace If you require any reasonable adjustment during the recruitment process, please notify your recruiter, who will assist you however they can. Diversity and inclusion is at the heart of who we are and who we aim to be. While we are proud of the positive and inclusive company culture we have created, we know we can do so much more. Kambi constantly evolves its Diversity and Inclusion strategy to ensure it becomes an even more inclusive and positive place to work, with the core management team reaffirming its commitment to delivering on employee feedback. Creating an inclusive environment We believe Kambi's greatest strength is the collective talent of our employees. Kambi is committed to ensuring we create an inclusive work environment where everyone can feel valued, thrive and achieve their potential, regardless of who they are or what their background is. We know that it is only by having a balance of different voices, values and opinions that Kambi is able to be the market leader it is today. #wearekambi
About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Platform Engineer at Legora, you’ll join an enabling team focused on making life easier for developers. Your mission: improve reliability, boost performance, and build a rock-solid platform that scales with the company. You'll work hands-on across infrastructure and backend systems, helping teams ship faster, safer, and smarter. What you will be doing: Build the core infrastructure and reliability abstractions that all our engineering teams use Sit with all teams and help them structure their SRE efforts: observability, alerting, fault tolerance and reliability Proactively monitor our infrastructure and develop it for hyperscale and reliability Contribute to incident response and post-incident learning Work with Pulumi on primarily Azure, but also AI deployments on AWS and GCP Who you are You have years of experience as a backend engineer but have solid infrastructure, observability, monitoring know-how Experience with Kubernetes Experience with Pulumi (preferred) or similar IaC tools like AWS CDK, Terraform But most importantly, you are someone who “Gets stuff done” and understands building a $10bn company isn’t always glamorous and takes hard work and long hours Proactively and independently solves the most burning problems Strives in a fast-paced environment where the answers aren’t always clear and processes are few Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.