Вакансии

Location: Bengaluru, Karnataka, India Purpose: The purpose of this job description is to define the minimum qualifications and experience required, as well as the responsibilities of the Scientist – Aggregate Reporting. The aim is to ensure that job duties are performed in compliance with the company’s training program and all applicable global and local regulatory requirements, including but not limited to Good Clinical Practices (GCP), ISO standards, data protection laws, and other relevant local regulations. Primary Responsibilities: Responsible for authoring Aggregate Safety Reports (including but not limited to PBRER/PSUR, ACO, DSUR, PADER, CAR, RMP, Ad-hoc safety reports for medicinal and non-medicinal products and EU-MDR PSUR, PMSR, PMSP, and PRER reports for medical devices, and Cosmetovigilance reports for Cosmetic products for submissions to various health authorities as per the requirement). Plan report-specific timelines, identify relevant stakeholders, request calls for contributions, and coordinate with various stakeholders for obtaining relevant data for the preparation of aggregate safety reports. Review the safety data (including the seriousness and expectedness assessments of events, as may be necessary) as per the agreed strategy and sponsor’s conventions and verify the correctness and completeness of contributions received from stakeholders. Perform an aggregate review of post-marketing cases received in global databases and assess whether the cases alter the safety profile of the marketed product. Coordinate with various stakeholders, conduct planning and strategic meetings and obtain inputs required for drafting and finalizing the aggregate summary reports. Ensure that all aggregate summary reports are uploaded and archived in the globally accepted repositories within the client environment. Ensure that the end-to-end life cycle of the report, from drafting up to approval and release to the requester, is conducted in a timely manner. Draft the reports in specified templates based on the data evaluations and the sponsor’s recommendations. Address the review comments from internal stakeholders and submit the high-quality report to the Sponsor. Support in literature reviews and signal management activities, including but not limited to maintaining signal detection schedules, retrieval of safety data and reviews, documentation of signal assessments/detections, signal validation, and evaluations, and authoring of signal evaluations or ad-hoc safety reports on a need basis. Maintain awareness of major Aggregate reporting guidelines, including but not limited to GVP Modules V, VI, VII, and IX; ICH E2C R2; ICH E2F; EU MDR; 21 CFR 314.80/ 600.80; and Health Canada GVP GUI-0102. Perform quality reviews for the reports prepared by the peer aggregate report writers to verify the correctness and completeness as per the source data and compliance with the sponsor’s requirements. Perform periodic screening of designated HA websites for safety updates, labelling recommendations, signal evaluations, pass expectations and risk minimization measures. Secondary Responsibilities: Effectively organize work to complete the assigned tasks to meet deadlines. Ensure compliance with timelines, quality and training as specified in the project SLA. Mentor and bestow domain knowledge to the team. Demonstrate Quality of Work & Commitment through excellence in work, ensure correctness and completeness in deliverables with minimum OR no re-work. Able to independently perform tasks with minimal guidance & supervision. Ensure that all assigned goals [e.g., utilization and efficiency] are met as per set standards for the performance year. Responsible for ensuring training compliance and timesheet compliance. Ensure completion of any other tasks assigned by the reporting manager. Be aware of and comply with the QMS/ ISMS & PIMS Policy. Report any potential or actual Security Breaches to the regional and/or global DPO & Security Incidents to CISO/ applicable distribution list. Contribute towards the achievement of Quality Objectives. Ensure proper planning of the deliverable, foresee any risks that are likely to arise and alert the project lead/ manager whenever project deliverable risks are visualized. Conduct functional training for the team members and support the capability development of junior members. Alert and escalate to TL as required, whenever project deliverable risks are visualized or issues encountered impacting the delivery schedule. Follow and comply with the Company’s code of conduct, policies, and procedures. Skills and Qualifications: Bachelor’s or Master’s degree in life sciences or healthcare discipline, or its equivalent, in alignment with project/role/business requirements. 3-6 years - experience relevant for domain/ business requirements, and/OR appropriate expertise/knowledge evaluated via specific assessments. Good knowledge of global regulatory requirements and drug safety, and a thorough understanding of Regulatory guidelines. Familiar with drug safety (case management, familiarity with safety databases like ARGUS, ARIS G). Strong verbal and written communication skills and ability to communicate in a global environment.

Location: Moscow, Russia; St. Petersburg, Russia; Yerevan, Armenia; Tbilisi, Georgia; Astana, Kazakhstan; Almaty, Kazakhstan; Belgrade, Serbia Workplace: remote At NOVACARD , we’re redefining how people use credit. We are the first interest-free and no-annual-fee credit card in Mexico , designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to $200,000 MXN in credit , only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals. About the Role: We are looking for an experienced System Analyst to analyze the current system, design target solutions, and support development teams throughout all stages of the migration. Key Responsibilities: Analyze the existing system, identify business rules, dependencies, and constraints Develop detailed technical requirements and specifications for functionality migration Define and align integration contracts (REST APIs, JSON schemas, event contracts) Model and visualize business processes and data flows using BPMN and UML (Sequence, Activity, Component diagrams) Design data migration: mappings, transformations, and migration strategies Decompose technical initiatives into development tasks; prepare User Stories / Use Cases and define acceptance criteria Perform risk and bottleneck analysis for the target architecture Support development teams during delivery: answer questions, participate in backlog grooming and sprint planning Collaborate with adjacent teams and stakeholders to align technical decisions Maintain and update documentation in the knowledge base (Confluence) Participate in complex incident investigation and root cause analysis What We Expect: Experience in banking, fintech, or e-commerce products 5+ years of experience as a System Analyst, preferably in integrations or product development Deep understanding of REST API principles (HTTP methods, status codes, headers, idempotency, versioning) Hands-on experience with API testing and description tools (Swagger/OpenAPI, Postman) SQL knowledge: ability to write complex queries with JOINs, window functions; understanding of PostgreSQL database structure Ability to create clear and structured diagrams using BPMN and UML Strong technical documentation skills (requirements, specifications, technical descriptions) Experience with event-driven architecture and message brokers (Kafka, RabbitMQ) Understanding of microservices architecture and service interaction patterns Experience with legacy systems and data migration Nice to Have: Experience participating in architecture reviews and technical decision-making Knowledge of CQRS, Event Sourcing patterns Experience with GraphQL English proficiency sufficient for reading technical documentation What We Offer : Fully remote work format Opportunity to work in an international team on a large-scale financial product migration A data-driven environment where your contributions have a real impact

Develop and maintain scalable backend services and REST APIs. 5+ years in backend development (Python 3+, in Django or similar).

Location: Riga, Latvia Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. What you'll do: Advertising data and business analysis ● Analyze performance: Work with digital advertising metrics such as spend, impressions, clicks, conversions, campaign performance, and revenue to identify trends, anomalies, differences, and possible drivers across platforms and markets. ● Connect context: Combine platform, CRM, financial, and internal operating data to support questions across markets, advertisers, products, and teams. ● Explain results: Translate findings into concise observations and useful visualizations, clearly distinguishing facts, assumptions, and data gaps. Reporting, data preparation, and quality ● SQL and cloud data: Work directly with database tables using SQL to query, join, clean, and organize datasets in Google BigQuery or comparable cloud data environments; help maintain straightforward reporting views and transformations. ● Support BI reporting: Build and maintain reporting datasets, dashboards, and recurring reports using agreed definitions in Looker Studio or comparable tools. ● Validate reliability: Check completeness, duplicates, consistency, unexpected changes, and reconciliation against source totals; document and escalate issues. Data connections and lightweight automation ● Follow the data: Understand how data from digital advertising platforms, CRM, and internal sources reaches cloud data environments such as BigQuery and feeds reports; help check scheduled refreshes and investigate missing or delayed data. ● Support connections: Assist colleagues with existing advertising-platform data connections and basic API-related issues, such as changed fields or incomplete responses. ● Simplify repeatable work: Improve recurring data preparation and validation primarily through SQL; experience with Python, another scripting or programming language, or practical automation tools is useful but not central to the role. ● Provide continuity: Learn and document selected BI data refresh and preparation routines so they can be supported when the main technical colleague is unavailable; escalate infrastructure issues to Data or IT Collaboration and professional growth. ● Clarify requirements: Work with analysts and business colleagues to understand the question, expected outputs, and suitable data sources. ● Document work: Keep data sources, logic, dependencies, procedures, and known limitations understandable and reusable. ● Develop capabilities: Build on practical statistical understanding and gradually apply approaches such as segmentation, anomaly detection, forecasting support, and introductory predictive analysis where they improve business decisions. What are we looking for: Experience and education ● Relevant experience: 1+ year of hands-on experience in digital marketing analytics, performance reporting, business intelligence, or data analysis involving direct work with databases. Experience gained in agencies, relevant internships, or substantial practical projects is welcome. ● Preferred background: Experience in a media agency, performance marketing agency, digital agency, ad-tech company, or advertising analytics team is a strong advantage, particularly if it involved working directly with digital advertising platform datasets rather than only finished dashboards. ● Education: Degree or equivalent practical experience in analytics, statistics, mathematics, computer science, engineering, economics, or a related field. A background in statistics or quantitative analysis is a particular advantage. Capabilities ● SQL – essential: Practical ability to query and combine structured data independently using SQL (e.g., joins, filters, aggregations, and basic transformations). Advanced SQL expertise is not expected, but database work should be familiar. ● Cloud data platforms: Hands-on experience with Google BigQuery or a comparable cloud data warehouse or analytics environment, such as Amazon Redshift, Snowflake, or Azure-based data solutions, is highly valued. No specific cloud vendor experience is required ● Reporting and analysis: Can prepare datasets and work with reporting tools such as Looker Studio, Power BI, Tableau, or Looker; understands campaign metrics and knows how to investigate inconsistent results ● Database understanding: Understands database tables, relationships, refreshes, and the path from source platforms into reporting datasets; has worked with underlying data rather than only ready-made dashboards. ● Digital platform data: Experience working with advertising or measurement data from platforms such as Google Ads, Meta Ads, TikTok Ads, Microsoft Advertising, Amazon Ads, DV360, or GA4 is a strong advantage. Familiarity with one or several platforms is sufficient; expertise across all platforms is not expected. ● Analytical and statistical thinking: Comfortable with data distributions, averages, variation, trends, comparisons, and basic statistical reasoning; able to spot anomalies, challenge assumptions, and explain results in business terms. ● Communication and ownership: Clear English, careful documentation, collaborative working style, and willingness to learn from both business and technical colleagues ● Additional technical skills: Exposure to Python, JavaScript, Java, R, or another programming or scripting language, as well as APIs, or basic automation, is a plus rather than a requirement. Practical curiosity and willingness to learn are more important than a particular language. Measures of success: ● Trustworthy output: Reports and datasets are accurate, consistent, traceable, and delivered on time ● Useful insight: Analysis identifies meaningful performance signals and supports practical business decisions ● Operational resilience: Selected BI data connections and refreshes are monitored, documented, and supported with appropriate escalation ● Efficiency: Manual preparation or recurring reporting effort is reduced through safe, maintainable improvements ● Growth: Increasing independence with SQL, cloud-based datasets, advertising-platform data structures, and selected BI workflows, with opportunities to develop toward advanced analytics. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Madrid Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineers are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Legal Engineers build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to the way Solutions Architects secure the “technical win” in the sales process, Legal Engineers secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area. Legal Engineers utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations. WHAT YOU'LL DO - Engage with lawyers at existing and prospective customers to understand and address their workflow challenges, and then explain and demonstrate the value of Harvey’s AI solutions to address them. - Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence). - Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases. - Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. - Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens. - Tailor the introduction of new solutions to specific customer needs. - Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. - Conduct research and analysis on customers and competitors. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE - Ideal candidate will be qualified to practice law in Spain. - At least 3 years of experience practicing law at a top-tier law firm in Spain. - Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels - Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Strong understanding of legal processes and challenges faced by legal professionals. - Curiosity about AI’s potential to transform the legal industry. - Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-RC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Pharma/Biotech R&D application experience Strong Python development experience in scientific computing or data-intensive applications Hands-on Scientific Computing and HPC experience, including Slurm, shared filesystems, and batch processing Strong Linux, shell scripting, scientific package and environment management skills Experience developing and troubleshooting scientific data processing and analysis pipelines AWS Cloud experience and Docker REST APIs, microservices, and Python backend frameworks (Django/FastAPI or similar) SQL and relational databases Experience with AI-assisted software development tools Strong communication skills and ability to work directly with scientists to understand scientific workflows and resolve technical issues Nice to have : Bioinformatics or computational biology experience GPU workloads and scientific workload optimization Spark and distributed data processing OpenEye/FastROCS or other scientific computing toolkits We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Strong TypeScript/JavaScript and Angular or React experience Java/Spring Boot backend development experience REST APIs, microservices, and third-party integrations SQL and relational databases AWS Cloud experience Experience maintaining and enhancing data-intensive web applications, including scientific or analytical visualizations Strong production troubleshooting and debugging skills Experience with AI-assisted software development tools Strong communication skills and ability to work directly with scientists to understand workflows and resolve issues Availability to work in the Pacific Time Zone Nice to have : Vue.js, D3.js Spotfire or other scientific visualization platforms Pharma/Biotech R&D or scientific application experience We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Strong Python development experience, including backend services and data processing pipelines REST APIs and microservices (Django/FastAPI or similar) AWS Cloud experience, including application deployment and troubleshooting Terraform / Infrastructure as Code Docker, Kubernetes, and GitLab CI/CD pipelines Linux, shell scripting, and production troubleshooting SQL and relational databases Experience with AI-assisted software development tools Understanding of scientific/data processing workflows and HPC concepts Strong communication skills and ability to work directly with scientists to understand workflows and resolve technical issues Nice to have : Hands-on Slurm, GPU workloads, and HPC administration Bioinformatics or scientific computing experience in Pharma/Biotech MongoDB, Spark, or other data technologies Scientific data processing pipelines We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Описание вакансии We are looking for an exceptional Senior Technical Lead / Solution Architect who combines deep technical expertise, outstanding English communication skills, and proven engineering leadership.

Location: Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Production Order Administrator to strengthen our Operations team. The goal of this role is to take care of production order execution through our manufacturing partner network and resolve unexpected issues that arise during the production process. How You’ll Contribute: Supervise the processing of production orders and document them in our internal CRM and ERP systems Select suitable contractors from our database of production partners Support the manufacturing process by controlling dates and dispatch, organizing delivery, and overseeing product quality control Track payments and work with customers Solve problems and special cases with customers and manufacturers that occur during order processing Achieve results despite the difficulties encountered What You’ll Bring to Xometry: Language Skills: Fluent English and Italian (B2 or higher), including business correspondence. This is the primary requirement Experience: At least 1 year of relevant experience in procurement, logistics, or order management. Experience with engineering orders and with transactional IT systems for automating sales, production, and logistics processes is an advantage Problem Solving: Readiness to solve problems that differ from the base scenario Availability: Willingness to work paid overtime and be available for urgent questions outside of business hours Growth Mindset: Desire to work in a fast-growing business environment and willingness to systematize your own work and take part in process automation Work Environment: A comfortable workplace with stable internet access and the ability to join conference calls, as this position is 100% home office #LI-Remote Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Georgia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Production Order Administrator to strengthen our Operations team. The goal of this role is to take care of production order execution through our manufacturing partner network and resolve unexpected issues that arise during the production process. How You’ll Contribute: Supervise the processing of production orders and document them in our internal CRM and ERP systems Select suitable contractors from our database of production partners Support the manufacturing process by controlling dates and dispatch, organizing delivery, and overseeing product quality control Track payments and work with customers Solve problems and special cases with customers and manufacturers that occur during order processing Achieve results despite the difficulties encountered What You’ll Bring to Xometry: Language Skills: Fluent English and Italian (B2 or higher), including business correspondence. This is the primary requirement Experience: At least 1 year of relevant experience in procurement, logistics, or order management. Experience with engineering orders and with transactional IT systems for automating sales, production, and logistics processes is an advantage Problem Solving: Readiness to solve problems that differ from the base scenario Availability: Willingness to work paid overtime and be available for urgent questions outside of business hours Growth Mindset: Desire to work in a fast-growing business environment and willingness to systematize your own work and take part in process automation Work Environment: A comfortable workplace with stable internet access and the ability to join conference calls, as this position is 100% home office #LI-Remote Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Cyprus; Finland; Ireland; Malta; Montenegro; Sweden What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: European Union What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Estonia; Greece; Latvia; Lithuania; Poland; Slovakia; Ukraine What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Remote, Global Workplace: Remote 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 looking for a Software Engineer to join our AI Tooling team and help shape how developers and agents build with Supabase. You'll build and own our AI tooling, including agents, the MCP server, agent skills and the dashboard assistant, and as the space moves you'll build the tooling for new technologies too. You'll build it all eval-first: every tool ships with evals and metrics, so we know, with evidence, that it makes agents better rather than worse. You'll work closely with the Docs, CLI, Frontend and SDK teams, and with the AI Tooling Infrastructure engineers who run these services in production. Other teams contribute to AI Tooling to improve Supabase's agentic capabilities, and you'll help them do that while keeping the quality bar high. 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 - Build and improve the AI tooling we run today, including the MCP server, agent skills, agents and the Assistant. - Make new Supabase products usable by agents from day one: tools, skills and evals for new product surfaces. Also build tooling for new AI technologies as they emerge: prototype quickly, evaluate honestly, and decide with the team what is worth taking to production. - Drive an eval-first approach: build and improve evals, instrumentation and feedback loops, measure tools against a no-tool baseline, and help define the quality KPIs and gates that stop regressions shipping. - Understand how customers and agents actually use what we ship, and turn that into improvements to our tooling, interfaces and documentation. - Design how documentation and product knowledge are exposed to agents, and measure whether it works. - Build patterns and tools that help customers add AI to their own apps, such as MCP on Edge Functions, vector embeddings and agents running on Edge Functions. - Enable teams to improve Supabase's agentic capabilities through contributions to AI Tooling: clear contribution paths, templates, documentation and review practice. - Centralise shared AI logic so teams reuse it rather than duplicate it. - Ship tools that are battle-tested, with strong tests, benchmarking and stress testing where it counts. - Work with the AI Tooling Infrastructure engineers on reliability, auth and hosting. - Work across Docs, CLI, Frontend, SDK and other teams to deliver one coherent developer experience, and stay close to the fast-moving AI ecosystem. YOU MIGHT BE A GOOD FIT IF YOU MUST HAVE: - Have 5+ years of experience in professional software engineering experience. - Write strong TypeScript and know the JavaScript ecosystem well: npm, ES modules, bundlers, compatibility. - Are deeply familiar with the AI ecosystem: current tools, agent patterns and practical trade-offs. You can tell a durable pattern from hype. - Have built developer tools, product interfaces or platform primitives used by other engineers. - Have designed or used evaluation frameworks to measure AI quality, reliability and task success, and understand baselines, variance and cost. - Have strong judgement about where AI improves workflows and how to avoid fragile or gimmicky experiences. - Write tests and validate reliability in real-world conditions. - Know Postgres and relational database practice. - Communicate clearly in writing, work across product, engineering and docs, and thrive in async, globally distributed teams. - Are comfortable navigating ambiguity and moving quickly. NICE TO HAVE: - Experience with vector databases and embeddings, ideally pgvector. - Examples of customer-facing AI features or agents you've shipped. - Examples of documentation or structured knowledge designed for developers or agents. - Experience with Braintrust or a similar eval and tracing platform, or setting up CI quality gates. - Open-source contributions or developer tooling you've maintained. - Experience across several product surfaces or teams. 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: London, United Kingdom; Dubai, United Arab Emirates Workplace: fully We are hiring for this position to be based in Dubai (UAE) or Eastern Europe. Praktika is an AI-native education company on a mission to deliver efficient, engaging language learning to billions of people worldwide. We're bridging the gap between traditional learning apps and human tutors through a fully automated tutorship experience powered by generative AI avatars. Since launching our mobile apps in 2023, we've reached over 30 million learners and grown to over 2 million monthly active users, become one of the world's top-4 learning apps, and recently closed a $30M Series A to accelerate our roadmap. We're a fully distributed team of ~50 people across 4 continents and 15+ countries, working asynchronously to ship fast and operate at a high bar. We're hiring a Lead DevOps Engineer to own all of Praktika's infrastructure and all access to it. This is a hands-on role with real leadership: you'll set the direction for our infrastructure, build it, run it, and keep it secure, reliable, cost-efficient and fast as we grow. You'll work with every engineering team and with non-engineering teams too. We are rebuilding how the company works around AI, and infrastructure is where that has to be made safe. What you'll do Own the infrastructure end to end: design, build and run our AWS-based infrastructure, and be the owner when it fails. Own identity and access for the whole company: cloud accounts, vendors, internal tools, onboarding and offboarding. Own infrastructure security (IAM, networks, secrets, audit logs) and the technical part of compliance: ISO 27001, SOC 2, GDPR. Keep costs visible and under control across clouds and AI vendors. Run the hosting and inference infrastructure for our ML and LLM models. Close repeated operational requests with automation and self-service, not with tickets and manual console changes. Rebuild infrastructure processes around AI: code review, monitoring and observability, alert triage, incident investigation. Build the place where internal tools and apps, built with AI by engineers and non-engineers, are deployed safely, reviewed and monitored. Build your own tools with AI too. Give delivery teams golden paths (service templates, CI/CD, safe deploys, alerts) that make the standard way the easy way, without blocking teams. What we're looking for We're looking for outstanding engineers who thrive in a challenging environment, bring a growth mindset, and operate with a high degree of agency, devotion, and autonomy. Required Ownership mindset: you make decisions and finish work without supervision. Deep hands-on AWS experience in production, including containers on ECS. Infrastructure as code (Terraform) as your normal way of working. A solid security foundation and a real interest in security. You have already built working tools with AI coding agents, and you use AI in your daily work. You have changed how other teams work without formal authority over them. You have set a technical direction and split large projects into deliverable parts. Ability to thrive in an async, distributed, written-first culture. Bonus DevSecOps experience and an understanding of how attacks work. Hands-on work on SOC 2, ISO 27001 or GDPR. Experience with clouds other than AWS. Experience with infrastructure for ML / LLM inference. Prior experience at an early-stage or high-growth consumer product company. Our stack AWS (containers, serverless, managed databases, CDN), Terraform, GitHub Actions, Datadog, SQL and NoSQL databases, event streaming, a data warehouse, hosted ML / LLM inference, and others. How we work Mission-driven: we're building the #1 language learning app and competing to win. AI-native: AI isn't a feature; it's how we think, build, and scale. Extreme ownership: every project has a clear owner who drives it to success. Less meetings, more outputs: async first; meetings are a last resort. Speed & excellence: move fast without compromising quality. Truly all-in: impactful work, full commitment, real rewards. Data-driven: decisions are based on evidence, not opinion. User-obsessed: if it doesn't improve the learner experience, it doesn't matter. What we offer Room to grow: as you prove yourself, your scope can grow to Head of Platform (backend team). Equity that grows with your impact (stock options). 26 days of holiday plus bank holidays (34 days per year total). Annual company off-site (last year: Dubai). Health and wellness benefits via SafetyWing. Full AI toolkit access: Claude, Cursor, Codex, and other productivity tools. $1,000 annual education and learning budget. Fully remote, based in Dubai or Eastern Europe. Interview Process: Intro interview with our Head of Talent. Technical interviews with our CTO. Culture interview with a member of the leadership team. Peer interview with an engineer from the team. No take-home task. We will provide you with feedback throughout the interview process.

What You'll Be Doing Lead the technical development of several products built with PHP/Laravel and React. During the first few months, focus primarily on hands-on development (approximately 70% backend and 30% frontend) to gain a deep understanding of the products, business logic, codebase, and existing architecture.

Location: Remote, Global Workplace: Remote 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 looking for an Engineering Manager to lead the Realtime team at Supabase. Realtime lets developers send low-latency messages between clients, track and synchronize user state, and listen to database changes. Those three features are Broadcast, Presence and Postgres Changes. Broadcast also sends from the database and over HTTP, and clients can replay recent messages. Realtime is a globally distributed Elixir cluster built on Phoenix. The team balances low latency, fair limits between projects, and the cost of running the service. Customers expect connections to stay up, so reliability matters as much as new features. The Engineering Manager is a people, delivery and technical role. We don't expect you to write production code, but you you will lead a team of experienced engineers. We do expect you to join design discussions and help set the bar for engineering quality, testing and operations. WHAT YOU’LL BE RESPONSIBLE FOR Team & People - Build a healthy, high-trust team culture in a remote-first, globally distributed environment. - Run 1:1s, performance management, career development, and onboarding for your direct reports. - Handle people admin (leave, time off, etc.) for your team. Hiring - Own the hiring plan for your team and act as Hiring Manager. First round of interviewer for all roles on the team. - Partner with Talent Acquisition to source, interview, and close strong candidates. - Contribute to headcount planning, org design, and the evolution of engineering leadership at Supabase. Delivery & Roadmap - Own the team's roadmap and project management (Linear), driving accountability and clear milestones. - Manage workflow intake and Slack triage. These are the team’s primary inboxes for cross-team requests. You decide what gets routed where, prioritized, or pushed back on. - Own the team's weekly updates and keep stakeholders aligned without creating overhead. - Organize effort against support tickets and maintain the team's SLO. - Surface risks, dependencies, and tradeoffs early and clearly to leadership. Incident Commander - Train as an Incident Commander. Drive coordination, resolution, and post-incident follow-up. - Lead blameless post-incident reviews YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years of engineering background, with enough depth to be credible with engineers building complex systems. - Have 3+ years managing remote engineering teams. - Have managed a team that built and ran a low-latency, high-connection service. Examples are WebSockets, pub/sub, messaging, presence or streaming systems. - Have strong technical credibility in distributed systems. We look for clustering, rate limiting, backpressure and capacity planning. - Have led a team through production incidents on a customer-facing service. You ran the follow-up work and kept the review blameless. - Understand what developers need from a real-time API or SDK, and have shipped one to customers outside your company. - Have experience with Elixir, Erlang or BEAM (not required but a plus). - Have experience with Postgres logical replication and Row Level Security (not required but a plus). - Have managed remote, globally distributed teams that work asynchronously across disparate time zones. - Are technical enough to be credible with strong engineers, but genuinely passionate about people management. This is the work you want to do, not a track you're settling for. - Build psychological safety and a feedback culture. You give feedback often and in the moment, ask for it back, and create space for the team to do the same. - Operate as a multiplier. You help individuals achieve more than they could alone, and you don't need to be the best technical voice in the room. - Coach rather than direct. You remove blockers, connect people to context, and trust your engineers to own how the work gets done. - Have a real track record of performance management and can speak to specific examples of difficult conversations. - Are comfortable with ambiguity and can build structure where there isn't much. - Communicate clearly and write well. You default to async and written, set context early, and surface risks early. - Are collaborative, low-ego and adaptable. You thrive with high-autonomy senior engineers who don't need you to be the smartest person in the room. 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.