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Location: ES - Barcelona, Spain Scopely is looking for an Engineering Manager, Client (Unity) to join our new unannounced project in Barcelona, Spain to work on a hybrid basis 3 times a week. We can support with visa sponsorship and relocation support At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a distributed team of game enthusiasts who are developing, publishing, and innovating in the mobile games industry, connecting millions of people around the world every day We embrace AI-forward development practices and expect our engineers to be curious and pragmatic about how these tools can raise the bar We are in the development stages of a bold, unannounced, cross-platform Strategy/MMO title.  We are looking for passionate game makers to collaborate, get in early and make their mark on this exciting venture What You Will Do Lead and manage a team of experienced engineers who focus on developing and maintaining the game client Design and implement new features in our game client, working collaboratively with other stakeholder teams to understand requirements and identify the best technical solutions Propose and implement improvements to our development processes, workflows and tools, to increase efficiency, quality and throughput Conduct pair programming, code reviews, 1-1’s and knowledge sharing sessions to enhance skills and build a strong development culture Work closely with QA to resolve bugs and deliver high-quality code for testing, contributing directly to the code base Be the quality gate for all code that goes into our game. Keep the team writing clean, efficient and optimized code Work with stakeholders to figure out and implement the best alternative technical solutions Leverage AI tools and agentic workflows in your daily work — from tech planning, code generation and review to exploring novel solutions What We’re Looking For Have technically led or managed a team (any size really) Proven ability to engage and motivate, to bring out the best in people Experienced being part of a professional development team working on game client features or other relevant areas Familiarity with software development methodologies such as Agile and Scrum Excellent experience working with multiple stakeholders in the development process - be able to understand their goals, and deliver/ evaluate various tech solutions to meet these Strong technical skills and experience in at least one of the following areas: game engines, rendering engines, networking, physics, AI, audio Excellent programming skills in C# or C++ Experience in mobile and/or PC game development Experience with version control, build tools and deployment pipelines Strong analytical and problem-solving skills Strong communication and collaboration skills to work effectively with cross-functional teams Knowledge of software engineering best practices and trends Hands-on experience working with AI-assisted development tools (e.g. GitHub Copilot, Codex, Claude Code) and an understanding of how agentic workflows can augment engineering productivity. Bonus points Experience with automated testing and continuous integration Experience with cloud technologies and services for game development Knowledge of game design principles and user experience About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: United States Workplace: Remote We are looking for a Senior Solutions Engineer, Federal/Public Sector to join our Solutions Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with civilian, defense, and intelligence community agencies, guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them, often inside classified or air-gapped networks. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept inside a disconnected or classified environment and stepping back to translate a technical win into a business case a federal decision-maker will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the agency back into how Coder builds and sells. WHAT YOU’LL DO - Own the technical relationship with agency prospects through pre-sales, and efficiently manage towards a technical win - Lead or support post-sales relationships and renewals when needed - Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives, including in classified and air-gapped settings - Install Coder on cloud (including GovCloud) and on-prem Kubernetes or VM infrastructure, up to and including air-gapped and disconnected networks - Run proofs-of-concept that prove Coder’s value, including for agentic and LLM-powered development workflows, and accelerate deals - Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their impact on mission delivery - Serve as the agency’s voice, routing insights to Engineering and Product - Log feature requests and issues in our public/private Git repositories - Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation, including within classified networks - Contribute pull requests to Coder’s documentation WHAT WE’RE LOOKING FOR - Active TS/SCI clearance with Polygraph required at time of hire; U.S. citizenship required - Physically based in the DC / Maryland / Virginia (DMV) area, with ability to travel to customer sites as required - Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling, ideally into federal, defense, or intelligence community customers - Experience with AI tooling at both the user level and infrastructure level, including coding agents and assistants (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM), and the ability to speak credibly to how agencies evaluate and adopt them, including in classified environments - Strong customer-facing skills that win trust with technical stakeholders and program offices - Ability to translate technical hurdles into mission value in real time - Understand agentic AI software development use cases and advocate passionately where appropriate - Comfortable leading architecture demos and deep-dive troubleshooting sessions in secure, restricted-access environments - Deep Linux fundamentals and comfort at the command line - 3+ years hands-on with Docker and Kubernetes - Experience with AWS GovCloud, Azure Government, or on-prem/air-gapped Kubernetes deployments - 3+ years with Terraform or comparable infrastructure-as-code tooling - Solid grasp of networking: ingress controllers, proxies, load balancers, and operating within DoD/IC network boundaries - Startup-speed execution, ownership mindset, and a player-coach attitude WHAT SUCCESS LOOKS LIKE - You can walk into an ambiguous agency conversation, diagnose the real technical, security, and mission blockers, and design a proof-of-concept that proves value fast, even inside a classified network. - You translate deep technical fluency, including on agentic and LLM-based development workflows, into a business case that resonates with program managers, security officers, and mission owners alike. - Agencies leave your demos and PoCs with a clear, credible picture of how Coder fits their environment, their developers, and their AI agents, without compromising their security posture. - You are as invested in winning the account the right way as you are in closing the current deal; you spot risks early, whether technical, security, or procedural, and loop in the right people. - Your field experience feeds back into product and marketing, sharpening how Coder demos and sells into the public sector. BONUS TACOS - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Success at both high-growth startups and larger software vendors - Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Codex, or similar autonomous/semi-autonomous dev tools) - Prior military, intelligence community, or federal civilian service background - Experience with FedRAMP, DoD IL4/IL5, or ATO processes - Background in CI/CD, DevOps, or developer-platform products - Experience in platform engineering or developer platform teams - Kubernetes, AWS, or related certifications ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re looking for an experienced Talent Acquisition Sourcer to help identify and engage exceptional talent as Tailscale continues to scale. This is initially a 6-month contract position with the potential to extend and/or convert to a full-time role based on business needs and performance. You’ll operate as a fully integrated member of our Talent Acquisition team, partnering with Talent Acquisition Partners and hiring teams to build high-quality pipelines across Engineering, Product, Design, GTM, G&A, and other business-critical searches. We’re looking for someone who is curious, resourceful, and creative; can quickly understand new roles and talent markets; and is comfortable going beyond traditional sourcing methods to find and engage exceptional people. Key Responsibilities Build & Execute Sourcing Strategies Partner with Talent Acquisition Partners to understand candidate profiles, hiring priorities, and sourcing needs across the company. Develop and execute targeted sourcing strategies across Engineering, Product, Design, GTM, G&A, and other functions. Identify and engage passive talent using a range of sourcing channels, research methods, communities, networks, and creative approaches. Manage multiple searches and adjust sourcing strategies based on pipeline performance, candidate feedback, and evolving priorities. Source Technical & Specialized Talent Develop a strong understanding of Tailscale’s product, technology, business, and culture to effectively identify candidates who may thrive here. Translate technical and specialized role requirements into effective searches in partnership with Talent Acquisition Partners and hiring teams. Research relevant companies, technologies, communities, and talent pools to identify candidates beyond traditional sources. Build knowledge of talent markets relevant to Tailscale, including infrastructure, networking, security, developer tools, cloud technologies, and other functional areas. Use Data & Market Intelligence Bring comfort with sourcing data and market insights to evaluate pipeline health, identify search challenges, and improve sourcing outcomes. Conduct talent research and market mapping across relevant companies, locations, candidate profiles, and competitive talent pools. Surface actionable insights on candidate availability, market trends, and search constraints to Talent Acquisition Partners. Build reusable talent maps and research that can support current and future hiring needs. Build Inclusive Talent Pipelines Incorporate inclusive sourcing practices into search strategies from the outset. Identify talent across a broad range of backgrounds, experiences, communities, and career paths. Explore new networks, communities, and sourcing channels that expand access to qualified talent. Partner with Talent Acquisition Partners to broaden search approaches and improve candidate representation where appropriate. Engage Exceptional Talent Create thoughtful, personalized outreach that communicates why Tailscale and the specific opportunity may be compelling. Build authentic relationships with passive candidates and assess interest, motivation, experience, and potential alignment. Partner with Talent Acquisition Partners to ensure seamless candidate handoffs and a consistent candidate experience. Represent Tailscale thoughtfully and authentically in every interaction with prospective talent. Partner Across Talent Acquisition Collaborate with Talent Acquisition Partners, Sourcers, Operations, and hiring teams on search strategy, candidate calibration, and pipeline development. Participate in sourcing jams and share sourcing techniques, talent pools, market observations, and search learnings across the team. Support high-priority or specialized searches as needed, adapting quickly as hiring priorities evolve. Partner with Talent Acquisition Operations to improve sourcing tools, workflows, data quality, automation, and AI-enabled practices. What We Are Looking For 3+ years of talent sourcing and/or recruiting experience, ideally within high-growth technology companies or similarly competitive talent environments. Experience sourcing technical talent and supporting searches across multiple functions such as Engineering, Product, Design, GTM, or G&A. Ability to quickly understand complex or unfamiliar roles and translate candidate requirements into effective sourcing strategies. Strong research skills and experience using sourcing techniques beyond basic keyword, title, or traditional platform searches. Strong passive candidate engagement and communication skills, including the ability to create thoughtful, personalized outreach. Strong organizational and analytical skills, with the ability to manage multiple searches and use sourcing data to evaluate pipeline effectiveness. Collaborative and adaptable working style, with experience using sourcing platforms, ATS technology, and an interest in AI, automation, and emerging sourcing tools. Nice to Have Experience sourcing within a highly technical startup, developer tools, infrastructure, networking, security, cloud, or similar environment. Experience identifying technical talent through GitHub, open-source or technical communities, and other channels beyond traditional recruiting platforms. Experience sourcing across technical and non-technical functions, geographies, or globally distributed teams. Experience supporting difficult-to-fill, leadership, or confidential searches. Experience building talent maps, conducting competitive research, or contributing to collaborative sourcing sessions. A track record of building broad candidate pipelines and finding strong talent through creative research, persistence, and thoughtful engagement. Note: this is a contract position and is not eligible for the full-time, exempt benefits listed below. US Pay Range $49 — $74.50 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re looking for an experienced Talent Acquisition Sourcer to help identify and engage exceptional talent as Tailscale continues to scale. This is initially a 6-month contract position with the potential to extend and/or convert to a full-time role based on business needs and performance. You’ll operate as a fully integrated member of our Talent Acquisition team, partnering with Talent Acquisition Partners and hiring teams to build high-quality pipelines across Engineering, Product, Design, GTM, G&A, and other business-critical searches. We’re looking for someone who is curious, resourceful, and creative; can quickly understand new roles and talent markets; and is comfortable going beyond traditional sourcing methods to find and engage exceptional people. Key Responsibilities Build & Execute Sourcing Strategies Partner with Talent Acquisition Partners to understand candidate profiles, hiring priorities, and sourcing needs across the company. Develop and execute targeted sourcing strategies across Engineering, Product, Design, GTM, G&A, and other functions. Identify and engage passive talent using a range of sourcing channels, research methods, communities, networks, and creative approaches. Manage multiple searches and adjust sourcing strategies based on pipeline performance, candidate feedback, and evolving priorities. Source Technical & Specialized Talent Develop a strong understanding of Tailscale’s product, technology, business, and culture to effectively identify candidates who may thrive here. Translate technical and specialized role requirements into effective searches in partnership with Talent Acquisition Partners and hiring teams. Research relevant companies, technologies, communities, and talent pools to identify candidates beyond traditional sources. Build knowledge of talent markets relevant to Tailscale, including infrastructure, networking, security, developer tools, cloud technologies, and other functional areas. Use Data & Market Intelligence Bring comfort with sourcing data and market insights to evaluate pipeline health, identify search challenges, and improve sourcing outcomes. Conduct talent research and market mapping across relevant companies, locations, candidate profiles, and competitive talent pools. Surface actionable insights on candidate availability, market trends, and search constraints to Talent Acquisition Partners. Build reusable talent maps and research that can support current and future hiring needs. Build Inclusive Talent Pipelines Incorporate inclusive sourcing practices into search strategies from the outset. Identify talent across a broad range of backgrounds, experiences, communities, and career paths. Explore new networks, communities, and sourcing channels that expand access to qualified talent. Partner with Talent Acquisition Partners to broaden search approaches and improve candidate representation where appropriate. Engage Exceptional Talent Create thoughtful, personalized outreach that communicates why Tailscale and the specific opportunity may be compelling. Build authentic relationships with passive candidates and assess interest, motivation, experience, and potential alignment. Partner with Talent Acquisition Partners to ensure seamless candidate handoffs and a consistent candidate experience. Represent Tailscale thoughtfully and authentically in every interaction with prospective talent. Partner Across Talent Acquisition Collaborate with Talent Acquisition Partners, Sourcers, Operations, and hiring teams on search strategy, candidate calibration, and pipeline development. Participate in sourcing jams and share sourcing techniques, talent pools, market observations, and search learnings across the team. Support high-priority or specialized searches as needed, adapting quickly as hiring priorities evolve. Partner with Talent Acquisition Operations to improve sourcing tools, workflows, data quality, automation, and AI-enabled practices. What We Are Looking For 3+ years of talent sourcing and/or recruiting experience, ideally within high-growth technology companies or similarly competitive talent environments. Experience sourcing technical talent and supporting searches across multiple functions such as Engineering, Product, Design, GTM, or G&A. Ability to quickly understand complex or unfamiliar roles and translate candidate requirements into effective sourcing strategies. Strong research skills and experience using sourcing techniques beyond basic keyword, title, or traditional platform searches. Strong passive candidate engagement and communication skills, including the ability to create thoughtful, personalized outreach. Strong organizational and analytical skills, with the ability to manage multiple searches and use sourcing data to evaluate pipeline effectiveness. Collaborative and adaptable working style, with experience using sourcing platforms, ATS technology, and an interest in AI, automation, and emerging sourcing tools. Nice to Have Experience sourcing within a highly technical startup, developer tools, infrastructure, networking, security, cloud, or similar environment. Experience identifying technical talent through GitHub, open-source or technical communities, and other channels beyond traditional recruiting platforms. Experience sourcing across technical and non-technical functions, geographies, or globally distributed teams. Experience supporting difficult-to-fill, leadership, or confidential searches. Experience building talent maps, conducting competitive research, or contributing to collaborative sourcing sessions. A track record of building broad candidate pipelines and finding strong talent through creative research, persistence, and thoughtful engagement. Note: this is a contract position and is not eligible for the full-time, exempt benefits listed below. CAN Pay Range $65 — $100 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (USA) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles. Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs. Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in. Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products. Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse. Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions. Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise. Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals. Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought. Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences. Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile. You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company. What you bring to the table 7-10 years of data engineering experience with at least 5 years in production Databricks environments, preferably in a consulting or client delivery context. Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus. Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes. Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale. Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles. Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code. Understanding of data modeling, schema design, and query optimization. Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions. Above-average discipline and personal organization skills. Obvious comfort with critique and peer review in the context of an iterative development process. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of data engineering. Bonus points if you… Have worked with real-time streaming technologies (Kafka, Kinesis, etc.). Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus. Have experience in healthcare or fintech domains. Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines. Have experience with Java, Go, or Scala. Have strong illustration skills for technical diagramming and data architecture documentation. Speak, write, and/or educate publicly about data engineering topics. Have contributed to open-source data projects. Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals. Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Compensation is $150,000 - $180,000 Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.

Location: Limassol, Cyprus FREEDOM FINANCE TECHNOLOGIES is a Cyprus-based fintech company and part of the international financial holding Freedom Finance. We develop and maintain trading and banking IT products, as well as the holding’s IT infrastructure worldwide. Our team currently consists of 170 professionals.  Over the past three years, we have grown fourfold and continue to actively expand our team. Since 2009, we have been developing our core product - a trading system for brokerage operations in the stock market. More than 700,000 users across 41 countries use our applications. We are looking for an experienced Android Developer to strengthen our mobile development team and help us build our brokerage and banking applications faster and more efficiently. Key Responsibilities: Design, develop, and maintain high-quality, efficient, and reliable Android applications. Translate business requirements into clear technical tasks and practical solutions. Review API contracts before implementation, identify mismatches, and raise them with the relevant teams. Take ownership of tasks through to completion, meet deadlines, and proactively identify and address blockers. Implement automated tests and continuously improve application performance, stability, security, and quality. Prepare builds for testing and release, manage store submissions, and resolve issues with rejected builds. Integrate and maintain third-party SDKs, keys, and development environments. Follow Android platform requirements for privacy and permissions. Collaborate with cross-functional teams to define and design new features. Work with external customers and vendors on integrations, acceptance testing, and incident resolution. Use modern AI tools to support implementation and take responsibility for the quality and reliability of the final result. Prototype screens or user flows when needed, even before final designs are ready. Contribute to a positive, collaborative work environment that supports teamwork and innovation. Requirements 4+ years of commercial experience in native Android application development using Kotlin; Knowledge and understanding of the MVVM architectural pattern; Experience with Jetpack components; Experience with Kotlin Coroutines and Kotlin Serialization; Strong understanding of SOLID principles; Experience building complex and optimized UI; Knowledge of Material Design Guidelines and core UX principles; Published applications on Google Play; Independence and a strong sense of responsibility; Willingness to complete a test assignment. Nice to have: Experience with Jetpack Compose; Examples of work available on GitHub / Bitbucket; Experience with Flutter, MPP, or React Native; Experience developing custom libraries / SDKs. Benefits Fully remote work Fixed monthly compensation in euros; Paid annual leave of 21 working days; Paid sick leave; Public holidays: New Year holidays until January 4–6, plus either May 1–2 or May 8–9; One additional paid day off per month; Coverage of professional training courses relevant to your area of work; Coverage of participation in professional online conferences; Access to a corporate online library; A genuinely comfortable and professional work environment; Opportunities to grow and develop alongside the company and its products.

Location: United States Workplace: Remote We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells. What you will be doing: - Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win - Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives - Install Coder on cloud and on-prem Kubernetes or VM infrastructure - Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals - Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact - Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product - Track and report product issues and feature requests using Linear - Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation - Contribute pull requests to Coder’s documentation What you bring: - Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling - Strong customer-facing skills that win trust with technical stakeholders - Ability to translate technical hurdles into business value in real time - Understand agentic AI software development use cases and advocate passionately where appropriate - Comfortable leading architecture demos and deep-dive troubleshooting sessions - Deep Linux fundamentals and comfort at the command line - 3+ years hands-on with Docker and Kubernetes - Experience with AWS, Google Cloud, or Microsoft Azure - 3+ years with Terraform or comparable infrastructure-as-code tooling - Solid grasp of networking: ingress controllers, proxies, load balancers - Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM) and the ability to speak credibly to how enterprises evaluate and adopt them - Startup-speed execution, ownership mindset, and a player-coach attitude Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Success at both high-growth startups and larger software vendors - Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Devin, or similar autonomous/semi-autonomous dev tools) - Background in CI/CD, DevOps, or developer-platform products - Experience in platform engineering or developer platform teams - Kubernetes, AWS, or related certifications ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Germany; Portugal; Poland; Ireland; United Kingdom; Spain Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to own the forward-looking financial plan for the top and mid funnel of n8n’s commercial engine, helping Marketing leadership make sharper investment decisions across both our PLG and SLG motions. To do so, you’ll turn demand, funnel, and marketing investment decisions into an integrated financial view that leadership can act on: OWN MARKETING PLANNING & FORECASTING - Drive n8n’s annual planning and regular forecasting process for Marketing end to end, from top-down targets and cross-functional alignment through regional segmentation, budget ownership, and consolidation into the company plan. - Partner with Marketing budget owners across demand generation, brand, community and DevRel, product marketing, and events to set budgets, forecast spend, and sharpen investment trade-offs. - Own program spend with the same rigor as headcount, including agency and media contracts, event and sponsorship commitments, phasing, seasonality, and in-year reallocations. MODEL FUNNEL & CHANNEL ECONOMICS - Model demand creation, signup and MQL volume, activation, qualified opportunity, conversion, and velocity with Marketing Ops and RevOps across both PLG and SLG motions. - Translate funnel and channel levers into the demand assumptions behind n8n’s integrated top-line model and quantify the financial impact and trade-offs of changing them. - Assess CAC and payback, conversion, pipeline contribution, and expected versus realized ROI using attribution, incrementality testing, and other causal methods where appropriate. BUILD A RIGOROUS MARKETING INVESTMENT FRAMEWORK - Establish a repeatable process for material marketing bets covering hypothesis, baseline, expected return, confidence range, leading indicators, scale-or-stop triggers, and post-investment review. - Build and defend investment cases for brand, community, content, events, and other spend that does not attribute cleanly to closed revenue. - Use internal evidence, external benchmarks, and post-investment learnings to drive in-year reallocations toward the highest-impact opportunities. TURN DATA INTO DECISIONS - Partner with Marketing Ops, RevOps, Data, and Controlling to keep the financial view aligned with n8n’s attribution, measurement, and reporting frameworks. - Own the financial metric definitions behind Marketing reporting and ensure teams are operating from a consistent view of performance. - Turn financial reporting and variance analysis into tangible insights and recommendations for Marketing leadership, executives, and board-level audiences when needed. REQUIREMENTS MUST-HAVES - 📊 FP&A experience: You have 7+ years of experience in FP&A or strategic finance, ideally in a fast-paced technology or B2B SaaS environment. - 🗂️ Complex planning experience: You have led complex, multi-entity, multi-stakeholder annual planning, budgeting, and forecasting processes end to end. - 🤝 Marketing business partnering: You have deep demand-side finance partnering experience in either a self-serve/PLG funnel or an enterprise/SLG demand generation motion, plus a strong working understanding of the other. - 📈 Funnel and channel economics: You are fluent in CAC and CAC payback by channel and motion, blended versus paid CAC, CLV/CAC, pipeline attribution, funnel conversion, and velocity. - 🧭 Judgment on unattributable spend: You have built and defended investment cases for brand, community, content, or similar spend that will never attribute cleanly to a closed deal. - 💶 Program spend ownership: You are comfortable owning a budget weighted toward program spend, including commitments, phasing, agency costs, vendor economics, and reallocations. - 🧮 Financial modeling: You build sophisticated, integrated financial models that remain robust as assumptions, scenarios, and operating inputs change. - 🗣️ Executive communication: You translate complex analysis into clear recommendations and are comfortable presenting to Marketing leadership, executives, and board audiences when needed. - 🤖 AI- and automation-first mindset: You naturally use AI and automation platforms such as n8n to improve the quality, speed, and repeatability of your planning, reporting, and analysis. NICE-TO-HAVES - 🔄 PLG + SLG fluency: You have deep experience across both product-led and sales-led demand motions rather than primarily one. - 🧑‍💻 Developer-focused environment: You have worked at a community-led, open-source, or developer-focused product company. - 🧪 Incrementality & experimentation: You have exposure to incrementality testing, holdout design, or marketing mix modeling. - 🛠️ Marketing & RevOps tooling: You have experience consuming data from tools such as HubSpot or Marketo, GA4, attribution platforms, and Salesforce. - 📋 Planning platforms: You have worked with financial or headcount planning platforms such as Pigment in complex, multi-entity, or multi-stakeholder environments. - 🧑‍🔬 Data self-sufficiency: You are comfortable using SQL and building your own views in tools such as Looker, Metabase, or Hex rather than waiting on a Data team. - ⚙️ Relevant SaaS domain experience: You have worked in workflow automation, developer tools, or infrastructure SaaS. Why join us? At n8n, you’ll own the financial view of one of the most important joins in our growth engine: where community, product-led adoption, and enterprise demand generation meet. You’ll work closely with Marketing leadership and counterpart FP&A Managers covering the PLG and SLG bottom of funnel, giving you visibility across the full commercial plan and real influence over how we allocate one of our largest discretionary investments. You’ll join a fast-growing, remote-first company where finance is expected to help shape decisions, not simply report on them. As n8n expands the opportunity around AI agent orchestration and helps businesses unlock measurable ROI through automation, you’ll help build the planning discipline, investment frameworks, and automation-first finance practices that support our next stage of growth. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Malta As an Engineering Manager – Platform Engineering , you will lead engineering teams responsible for the platforms, tooling and capabilities that enable application teams to build, deploy, observe and operate their software reliably. You will lead approximately 10–12 engineers across Delivery and Observability, working closely with Tech Leads, Architects, application engineering teams and other Engineering Leaders to set direction, prioritise improvements and ensure the platform delivers reliable and effective capabilities to its users. This is a technically strong engineering leadership role . While you won't be expected to code day-to-day, you should be comfortable reviewing technical changes, challenging engineering decisions, understanding technical risks and participating in production incidents. You will also be accountable for the overall performance, stability and operational health of the domain, ensuring platform services meet agreed SLAs/SLOs, reducing incidents and continuously improving the experience for the engineering teams that depend on them. A taster of what you will be involved with Own roadmap and delivery – Drive prioritisation, planning and execution across the domain, balancing platform improvements, operational commitments and organisational priorities. Lead and develop high-performing teams – Build the right team structure, skills and culture while owning recruitment, performance, career development and succession planning. Drive technical excellence – Partner with Tech Leads and Architects to challenge technical decisions, manage risks and ensure platform solutions are reliable, secure and maintainable. Own platform performance and stability – Monitor SLAs/SLOs, service health and engineering metrics, driving continuous improvement, reducing incidents and improving reliability. Lead operational excellence – Ensure operational readiness, observability, incident management and effective RCA, acting as an escalation point for major incidents and ensuring preventative actions are delivered. Partner across the organisation – Work with application engineering teams, Architects and Engineering Leaders to understand needs, manage expectations, remove blockers and continuously improve platform capabilities and ways of working. What we’re looking for Strong technical background with the ability to understand complex systems, review changes and challenge technical decisions. Experience leading and developing engineering teams, including recruitment, performance and career development. Strong roadmap, prioritisation and delivery management skills, with accountability for quality and timelines. Experience working with Tech Leads, Architects, Product and engineering stakeholders. Good understanding of platform engineering, cloud, CI/CD, automation and Infrastructure as Code. Strong understanding of observability, reliability and production operations. Experience managing SLAs/SLOs, service performance and operational metrics, with a focus on improving stability and reducing incidents. Strong communication, stakeholder management and problem-solving skills, with a pragmatic and outcome-focused approach. Nice to have Experience managing teams responsible for CI/CD, developer platforms, engineering tooling or software delivery platforms. Experience managing Observability, SRE or Platform Reliability teams. Experience with AWS or other major cloud platforms. Familiarity with technologies such as Kubernetes, GitHub Actions, Argo CD, Terraform, Ansible, Prometheus, Grafana, OpenTelemetry or similar tooling. Who We Are Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta. We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers! Product Development at Betsson Group Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Malaga and Athens. With around 1,000 strong professionals, the Product Development organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: London, United Kingdom Workplace: fully About InvestEngine We’re a London-based fintech on a mission to make ETF investing simple and accessible. Over 150,000 clients have trusted us with over £3.5 billion in assets — and we’re just getting started. We’ve been featured by MoneyWeek , Finder and Forbes , and we’re growing fast with big ambitions. About the Role We’re looking for a Senior Backend Engineer to join our Payments Team and help us strengthen and scale a business-critical part of our platform. You’ll work on complex backend challenges across payment flows, integrations and system reliability. You’ll contribute to architecture, improve system stability and scalability, and help evolve the technical foundations of our Payments domain. You’ll collaborate closely with Engineering, Product, Compliance, Operations and other business teams to build reliable solutions and improve critical operational processes. What You’ll Do Design, develop and maintain backend services in Python 3.11 using Django / DRF Contribute to the architecture and long-term technical development of our Payments systems Build and improve RESTful APIs and integrations Work with complex backend and legacy systems and identify root causes of technical problems Continuously improve system performance, reliability and scalability Investigate and resolve production issues and recurring problems Work with MySQL and Redis Participate in architectural discussions and contribute to technical decisions Identify and reduce technical debt Improve development processes, code quality and engineering practices Collaborate with Product, Compliance, Operations and Business teams Contribute to the evolution of our architecture and internal engineering tools What We’re Looking For 4+ years of experience in backend development Strong Python skills and deep knowledge of Django or similar frameworks Solid understanding of relational databases, caching and high-performance backend systems Experience with REST APIs, service design and distributed systems Experience working with complex or legacy systems Ability to independently investigate complex technical problems and identify root causes Experience working with production systems and improving their stability Strong ownership and ability to make sound technical decisions Familiarity with Git, CI/CD practices and modern engineering workflows Strong communication and problem-solving skills English B2+ and fluent Russian Nice to Have Experience working in fintech, payments or another regulated industry Familiarity with AWS and Docker Experience with RabbitMQ, Kafka or other message brokers Experience with payment providers or financial integrations Contributions to open source or personal side projects How We Work We’re a lean, collaborative team where engineers have a real influence on architecture, technical decisions and engineering culture. We value ownership, curiosity and continuous improvement . You’ll have the autonomy to make technical decisions and work on meaningful, business-critical systems without micromanagement or unnecessary bureaucracy. Within the Payments team, you’ll help build systems that remain stable, reliable and scalable as the business grows . What We Offer Impact from day one — work on business-critical Payments systems Technical growth — influence architecture and technical decisions Hands-on engineering — solve complex backend challenges across production systems Modern tech stack — Python 3.11, Django, MySQL, Redis, AWS, GitHub, TeamCity Remote-first and flexible — work from anywhere, at your own pace Unlimited vacation — take time off when you need it, no fixed limits Supportive team — thoughtful, skilled colleagues who care about quality and results Hiring Process Intro call with our Talent team Technical interview with the Backend team Gamified cognitive assessment to understand how you think and problem-solve Final conversation with our CTO

Location: Philippines Workplace: Remote ABOUT THE ROLE The Compute & Infrastructure Accounting team supports accounting and financial reporting for OpenAI’s rapidly evolving cloud computing, data center, server, equipment, colocation, software and data, and other AI infrastructure arrangements. We’re seeking a hands-on Contract Accountant to support recurring close and day-to-day operational accounting for these costs. The contractor will translate contract terms, pricing, delivery, usage, invoices, and operational data into accurate accruals, true-ups, journal-entry support, reconciliations, and variance explanations. This role works closely with Compute & Infrastructure Accounting, Technical Accounting, Procurement, Strategic Finance, Data Engineering, and external vendors to resolve exceptions and keep accounting outputs timely, complete, and audit-ready. The contractor will use approved AI tools to reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage. This role does not make final accounting conclusions or approve journals, payments, vendors, contracts, or access; it does not negotiate contracts or commit company funds. Success is measured by accurate and timely close deliverables, well-supported reconciliations, prompt exception resolution, dependable cross-functional communication, and adherence to established controls. RESPONSIBILITIES Close and Operational Accounting - Prepare and support assigned month-end and quarter-end close activities, including accruals, true-ups, journal entries, reconciliations, rollforwards, balance-sheet substantiation, and flux or variance analysis. - Prepare journal-entry support and submissions, including account and cost-center coding; monitor approval, posting, and rejection status and coordinate timely follow-up with authorized employees. - Perform vendor- and contract-level reconciliations, monitor actuals against accruals, resolve differences, and support recurring management reporting. - Support lease, fixed-asset, construction-in-progress, and related infrastructure accounting as assigned, including data capture, schedule maintenance, modifications, and period-end entries. Contract, Invoice, and Data Validation - Maintain complete and accurate contract and pricing records across new agreements, amendments, credits, delivery or drawdown changes, extensions, and terminations. - Translate commercial terms into accounting inputs and operating workflows and ensure relevant changes are reflected in recurring accounting processes. - Validate vendor invoices and operational data against rates, usage, commitments, delivery, resource attributes, and accounting mappings. - Investigate exceptions, document root causes and resolutions, track open items and bottlenecks, and coordinate follow-up through completion. Controls, Audit, and Issue Resolution - Follow established accounting policies, standard operating procedures, close calendars, review requirements, and approval workflows. - Execute control procedures over source data and workpapers, including completeness and accuracy checks, evidence retention, and reviewer-ready documentation. - Respond to audit and control requests by assembling tie-outs, schedules, explanations, and source evidence. - Use company information only through approved systems and devices, follow least-privilege and security requirements, and promptly escalate suspected data, security, or access issues. Cross-Functional Coordination - Partner with Compute & Infrastructure Accounting, Technical Accounting, Procurement, Strategic Finance, Finance Systems, Data, Engineering, and external vendors to resolve accounting and operational blockers. - Communicate requirements, status, outstanding items, and accounting implications clearly to finance and non-finance stakeholders. - Escalate unusual contracts, accounting judgments, control exceptions, or access requests with clear context and recommended next steps. Process Discipline and Continuous Improvement - Identify recurring data-quality issues, process delays, and control gaps, and surface trends and recommended improvements to the appropriate team lead. - Write clear requirements, test system or process changes, and validate downstream accounting outputs before operational use. - Improve recurring workflows through standardization, documentation, automation, and tooling; maintain clear procedures and handoffs. - Use approved AI-enabled tools responsibly to reduce manual effort, strengthen analysis and documentation, and support scalable and agentic workflows while following data-security and review requirements. - Help maintain consistent execution as systems, accounting requirements, and workflows evolve. REQUIRED SKILLS AND EXPERIENCE - Progressive experience in accounting, audit, advisory, or a related finance function, including hands-on operational accounting. - Strong month-end and quarter-end close experience involving accruals, journal entries, reconciliations, variance analysis, and workpaper preparation. - Working knowledge of U.S. GAAP and internal controls, with the judgment to recognize and escalate matters requiring technical accounting review. - Experience interpreting contracts, invoices, and large operational datasets and translating them into accurate accounting outcomes. - Advanced spreadsheet and data-analysis skills and experience using an ERP or comparable finance system. - Demonstrated ability to use AI tools to reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage. - Strong attention to detail, sound judgment, clear documentation habits, and the ability to independently manage high-volume, deadline-driven work. - Excellent written and verbal communication skills and the ability to coordinate effectively across Finance, Procurement, Engineering, external vendors, and time zones. PREFERRED - Operational accounting experience in a technology, cloud-computing, or infrastructure environment. - Experience with Oracle Fusion and lease-accounting, fixed-asset, or similar finance systems. - CPA, CA, or an equivalent professional accounting qualification. NICE-TO-HAVE - Exposure to cloud and compute costs, lease accounting, fixed assets, construction in progress, or related infrastructure arrangements. - Familiarity with SQL, GitHub, issue-tracking tools, or similar technical tools used to investigate data and process issues. - Experience in audit-ready, high-growth, or control-focused operating environments. - Experience collaborating across time zones with distributed teams and external service providers.

Задачи: — работать end-to-end: от понимания бизнес-задачи и проектирования решения до самостоятельной разработки, тестирования и вывода в production; — самостоятельно принимать технические решения и доводить задачи до результата; Требования: — 5+ лет коммерческой разработки на Python; — умение вести задачу end-to-end: разбираться в бизнес-требовании, предлагать решение, проектировать архитектуру, реализовывать, покрывать тестами и доводить до production; — опыт разработки с нуля, а не только поддержки и доработки существующих решений; — глубокие знания System Design и умение принимать архитектурные решения; — понимание обеспечения идемпотентности операций, консистентности состояний, отказоустойчивости и корректной обработки ошибок в распределённых системах; — владение DDD, Clean Architecture, CQRS-подобными паттернами, понимание принципов конкурентности (CAS, mutex, idempotency), error recovery и type safety; — умение работать с FastAPI, PostgreSQL, Redis, Docker, Kubernetes, CI/CD; — умение разбираться с проблемами в production, искать узкие места, оптимизировать систему и доводить изменения до стабильной работы; — умение самостоятельно декомпозировать задачи и выбирать подход к реализации без ожидания подробных технических указаний; — использование Cursor, GitHub Copilot или аналогов в ежедневной разработке; Условия: — быстрый рост; — полная удалёнка; — сложные архитектурные задачи; — адекватные коллеги и отсутствие бюрократии.

Location: United Kingdom Workplace: Remote We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells.   What you will be doing: - Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win - Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives - Install Coder on cloud and on-prem Kubernetes or VM infrastructure - Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals - Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact - Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product - Track and report product issues and feature requests using Linear - Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation - Contribute pull requests to Coder’s documentation   What you bring: - Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling - Strong customer-facing skills that win trust with technical stakeholders - Ability to translate technical hurdles into business value in real time - Understand agentic AI software development use cases and advocate passionately where appropriate - Comfortable leading architecture demos and deep-dive troubleshooting sessions - Deep Linux fundamentals and comfort at the command line - 3+ years hands-on with Docker and Kubernetes - Experience with AWS, Google Cloud, or Microsoft Azure - 3+ years with Terraform or comparable infrastructure-as-code tooling - Solid grasp of networking: ingress controllers, proxies, load balancers - Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM) and the ability to speak credibly to how enterprises evaluate and adopt them - Startup-speed execution, ownership mindset, and a player-coach attitude   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Success at both high-growth startups and larger software vendors - Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Devin, or similar autonomous/semi-autonomous dev tools) - Background in CI/CD, DevOps, or developer-platform products - Experience in platform engineering or developer platform teams - Kubernetes, AWS, or related certifications ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.   ABOUT THE ROLE We’re building a high-performance CI/CD execution platform similar to runners used by tools like Buildkite, GitHub Actions, and Blacksmith CI. Our platform executes developer pipelines reliably at scale, integrates deeply with source control, and automates build, test, and deployment workflows. In this role, you will design and build the distributed systems responsible for running CI/CD pipelines securely and efficiently. This includes orchestrating ephemeral compute environments, managing build isolation, scheduling jobs across fleets of workers, and ensuring reliability at scale. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions.   WHAT YOU’LL BE RESPONSIBLE FOR - Design and improve the core orchestration engine that manages the lifecycle of creating, merging, and rebasing Supabase Branches https://supabase.com/docs/guides/deployment/branching. - Provision ephemeral sandboxed execution environment on EKS / ECS for running untrusted build workloads from connected git repositories with securely managed secrets. - Implement job scheduling that scale to thousands of concurrent builds. - Optimize and reduce pipeline runtimes with caching, artifact storage, and dependency reuse. - Manage retry, timeout, cancellation, and failure-propagation logic to ensure pipelines behave predictably under failure conditions. - Instrument the full pipeline lifecycle with observability tooling to surface traces, metrics, and structured logs to the end user. - Develop configuration files (JSON / TOML) and integrations (Terraform / Pulumi) that allow teams to easily define, trigger, and inspect pipelines in code.   YOU MIGHT BE A GOOD FIT IF YOU - Have strong software engineering skills (Go and Typescript required); - Have 3+ years of experience building and operating cloud infrastructure or distributed systems at scale; - Have cloud Infrastructure knowledge - familiarity with AWS constructs is required, past experience using the AWS SDKs and IaC tools (Pulumi, Terraform, etc) to build and operate infrastructure is strongly preferred. - Have a production operations mindset - track record of building reliable, observable, and maintainable systems - Have an ownership mindset - you thrive in being able to operate independently with high-level guidance - Communicate clearly across both technical and non-technical audiences - Have experience in async or globally distributed teams - Are energized by solving real-world problems for developers - Are comfortable navigating ambiguity and moving quickly WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote (USA) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding Agentic Engineer to join our team. Who you are You are a pragmatic, hands-on engineer who has built and shipped agentic AI systems into production. You understand that getting an agent to work is only part of the challenge. You know how to build systems that continue to work safely and reliably with real data, enterprise security requirements, and meaningful consequences when something goes wrong. You communicate clearly with clients and technical peers, make thoughtful architectural decisions, and are comfortable explaining why an agent behaved the way it did. You have strong software engineering fundamentals and the judgment to recognize when an agent is the right solution and when a simpler, deterministic approach is better. What you will be doing Work directly with clients to understand complex business problems and translate them into scalable, production-ready agentic AI solutions. Design and implement multi-step agent systems, including orchestration, tool and function calling, task decomposition, and, when appropriate, multi-agent coordination. Build integrations between agents and enterprise systems by exposing APIs as tools, implementing MCP servers, and developing structured tool contracts. Design evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-loop workflows that identify and manage agent failures before they reach users. Instrument agent systems for traceability and observability, including agent actions, model behavior, token and cost usage, latency, and system performance. Design and maintain state and memory across long-running workflows and implement model routing, retries, idempotency, and other patterns required for reliable production systems. Build and deploy AI solutions using cloud platforms and services such as: Azure OpenAI, Azure AI Foundry, Azure AI Search, AKS, or related Azure technologies; Amazon Bedrock, Lambda, ECS, EKS, or related AWS technologies. Apply strong software engineering practices using Python, Java, APIs, containers, source control, automated testing, and CI/CD. Work directly with client engineering and security teams through architecture reviews, threat modeling, security reviews, audits, and other enterprise delivery requirements. Evaluate when agentic architectures are appropriate and when deterministic pipelines, traditional machine learning, or other approaches are more reliable and cost-effective. Turn successful approaches from client engagements into reusable patterns and solutions that can be applied across Zeal. Build trust with clients and internal teams through strong communication, technical judgment, problem-solving, and execution. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table We expect candidates to demonstrate a strong software engineering foundation, hands-on experience building agentic AI systems in production, and a keen interest in consulting. Agentic AI: Hands-on experience designing and shipping production agent systems involving tool and function calling, multi-step workflows, orchestration, task decomposition, or multi-agent architectures. You can explain the architectural decisions you made, what failed, and what you learned. Evaluation & Reliability: Real-world experience evaluating agent behavior and measuring system failures, including building evaluation harnesses, guardrails, grounding checks, human-in-the-loop controls, and other mechanisms that prevent or mitigate errors. Cloud Technologies: Deep hands-on experience with either Azure or AWS and the AI and infrastructure services surrounding them, such as Azure OpenAI, AI Foundry, AI Search, AKS, Amazon Bedrock, Lambda, ECS, or EKS. Software Engineering: Strong proficiency in Python or Java, API design, containers, automated testing, source control, and CI/CD, with enough machine learning knowledge to determine when traditional ML or deterministic approaches are more appropriate than an LLM. Enterprise Delivery: Experience delivering software within large organizations and working through requirements such as role-based access, data isolation, security reviews, compliance, change control, and production governance. Agent Observability: Experience designing systems for traceability, state and memory management, model routing, latency and cost visibility, retries, idempotency, and other operational concerns associated with production agent systems. Communication: Excellent verbal and written communication skills and the ability to explain complex AI systems, architectural decisions, risks, and tradeoffs to both technical and non-technical stakeholders. Problem-Solving: Strong technical judgment and a demonstrated willingness to challenge assumptions, including recognizing when an agentic solution introduces unnecessary complexity and a deterministic approach would be more appropriate. Experience with MCP and emerging tool-interoperability standards, evaluation frameworks such as RAGAS, fine-tuning, model distillation or optimization, and highly regulated industries such as financial services, insurance, healthcare, or manufacturing is helpful, but not required. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Compensation is $130,000 - $165,000 per year Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Location: Remote -- Romania MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business. Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable. Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you. Key Responsibilities Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB Write sophisticated, performant SQL to extract insights from large-scale datasets Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level Develop internal tooling and automation using Python, FastAPI, and modern frameworks Communicate findings clearly to technical and non-technical stakeholders-translate data into action Understand and document data architecture, lineage, and how information flows across systems Collaborate on business process analysis and process design improvements driven by data Proactively identify opportunities for deeper analysis, better tooling, and operational improvements Requirements & Qualifications 7+ years of professional experience in data analytics engineering, data engineering, or a related field Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts js experience - ability to build data-facing web applications and internal dashboards Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch Excellent communication skills - you can explain complex analysis to anyone in the room Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own A public GitHub profile with examples of your work (personal projects, contributions, experiments) Nice to Have FastAPI experience for building internal APIs and services Background in business process design or operational analytics Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Location – Romania (remote) Travel - As required for the job (minimal). What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. Compensation Salary Range : 160,000 - 200,000 RON per annum (gross salary) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote - Bulgaria MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're looking for a Senior Analytics AI Platform Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business. Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable. Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you. Key Responsibilities Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB Write sophisticated, performant SQL to extract insights from large-scale datasets Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level Develop internal tooling and automation using Python, FastAPI, and modern frameworks Communicate findings clearly to technical and non-technical stakeholders-translate data into action Understand and document data architecture, lineage, and how information flows across systems Collaborate on business process analysis and process design improvements driven by data Proactively identify opportunities for deeper analysis, better tooling, and operational improvements Requirements & Qualifications 7+ years of professional experience in data analytics engineering, data engineering, or a related field Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts js experience - ability to build data-facing web applications and internal dashboards Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch Excellent communication skills - you can explain complex analysis to anyone in the room Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own A public GitHub profile with examples of your work (personal projects, contributions, experiments) Nice to Have FastAPI experience for building internal APIs and services Background in business process design or operational analytics Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Location – Bulgaria (Hybrid, Sofia) Travel - As required for the job (minimal). What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. Compensation Salary Range : 30,000 - 38,500 Euro per annum (gross salary) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: San Francisco Office Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain. PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both PostgreSQL and Vitess clusters. Vitess is an open-source database clustering system for horizontal scaling of MySQL that enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. We're bringing the same scaling power to PostgreSQL with Neki, our sharded PostgreSQL product. We're hiring a software engineer to build the internal tools that run PlanetScale. You'll automate the manual work that slows a growing company down: incident response, on-call, support workflows, onboarding, and the dozens of other small things that take up our time. Location This role is in-office only at our San Francisco headquarters. You must already live in the SF Bay Area and be able to work from the office most days. This is not a remote role. We do not offer relocation. We do not sponsor visas. If you need to relocate, work remotely, or need visa sponsorship, please do not apply. What You'll Do Build AI-enabled tools and agents that automate manual work across engineering, support, and operations Write bots and integrations for Slack, PagerDuty, and the other systems we run the business on Build internal dashboards that give the team visibility into what's actually happening Integrate LLM APIs and AI coding tools directly into the internal systems you build Ship small, useful things fast. Iterate based on what people need Work directly with senior engineers and leadership to find friction and fix it Own your projects end to end: design, build, ship, support For example, you might: Automate our incident response process Build automations for customer support Build internal dashboards that measure our service quality What We're Looking For Required: 0-2 years of professional software engineering experience, or equivalent project or internship work Solid fundamentals in at least one of TypeScript, Ruby, or Go Comfortable building with AI coding tools and LLM APIs. This role is AI-enabled work, not just AI-assisted Comfort writing scripts, small services, or automations that solve a real problem Clear written communication Already based in the San Francisco Bay Area. We do not relocate for this role. In-office at our San Francisco headquarters most days. This is not remote. Authorized to work in the US without sponsorship. We cannot sponsor visas. Nice to Have: Experience with Slack's API, GitHub Actions, or similar automation platforms Exposure to Terraform or Kubernetes A side project, bot, or tool you built to automate something in your own life About You You fix the annoying thing to save time. You'd rather ship something small this week than plan something big for next quarter. You ask good questions, take feedback well, and want to learn from engineers more senior than you. You want to be in the room with your team, not on a call. You're excited about AI tools not just to write code faster, but to design and ship whole systems. Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $120,000 - $160,000 USD