CAST AI

Role Description We're looking for a Growth Performance Engineer who is hands-on, AI-native, and obsessed with what actually moves the numbers. You'll own the performance engine across both products and build the systems that scale it. - Paid media strategy and execution across Google, LinkedIn, and emerging channels - AI visibility and GEO (Generative Engine Optimization): making sure CAST AI and Kimchi show up where buyers are increasingly searching - Monitor and influence how CAST AI and Kimchi appear in AI-generated answers (ChatGPT, Perplexity, Claude, Gemini, AI Overviews) - citation building, structured content, schema - Performance partnerships: identifying, launching, and optimizing partnerships that drive measurable growth - Full-funnel tracking, attribution, and reporting across paid and performance channels - Experimentation across channels, audiences, and messaging to find what converts - Budget management and ROI accountability Qualifications - Hands-on IC, you have fun in winning, you build and run things yourself, not just strategize - You've thought seriously about LLM training data, citation sources, and why some brands show up in AI answers and others don't - AI-native, you use AI tools to move faster, test more, and you no longer manually adjusting the bids, you have an agent, or planning to build one to do it for you - You've owned paid performance before and have results to show - You understand AEO/GEO and where AI search visibility is heading - Data-driven by default, you don't run campaigns you can't measure - Comfortable across both developer tooling and cloud-native ecosystems, or sharp enough to get there fast Benefits - Competitive salary. - 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. - Equity options. - 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 that elevate your skills. - 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 - Hiring Manager interview - 1-2 additional interviews based on the role - Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that 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.

Role Description We're looking for a Social Growth Manager who sees social for what it really is: the fastest distribution engine in the market. Not a broadcasting function. Not a content calendar exercise. A growth lever. You'll own social media across both products, turning a library of existing content into a pipeline, creating new ones, running creative campaigns that actually land, and making sure everything happening in the field and community shows up loud on social media. - Social strategy and execution across LinkedIn, X, YouTube, and relevant social media channels - Repurposing existing assets (speaking engagements, influencer videos, PR, DevRel content) into social-native formats that drive reach and conversion - Running creative brand growth campaigns on social that build awareness and drive action - Managing content production or repurposement end to end, from brief to publish - Bridging social with Field Marketing, Product Marketing, Customer marketing, Community activations, and DevRel moments to amplify reach and engagement - Growth experiments: what format, what channel, what message moves the number and engagement - Owning social-attributed pipeline and audience growth metrics Qualifications - You think in distribution, funnels and systems - AI-native, you use AI tools to produce, repurpose, and scale - You've grown an audience or a channel from scratch and have the numbers to prove it - You know how to work across teams (field, community, DevRel) and turn their work into social fuel - Creative enough to concept a campaign, analytical enough to know if it worked - Comfortable in developer and cloud-native ecosystems, or fast to get there Benefits - 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. - Equity options. - Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. - 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 that elevate your skills. - 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 - 1-2 additional interviews based on the role - Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that 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.

Role Description The GTM Systems Engineer is a hybrid role bridging sales, marketing, and software engineering. You will own the architecture, administration, and continuous improvement of the technology stack powering our sales, marketing, and customer success teams. You will build automated, scalable revenue systems leveraging AI, data enrichment, and custom integrations to streamline lead routing, CRM enrichment, and personalized outbound campaigns, ensuring our GTM tools are integrated, reliable, and instrumented to support data-driven decisions at every stage of the funnel. Qualifications - 5+ years of experience in GTM systems administration, sales/revenue operations, or a related technical role. - Deep Salesforce expertise: hands-on administration experience with objects, flows, validation rules, and reporting; Salesforce Advanced Administrator, Developer, or Platform App Builder certification required. - Proven experience integrating tools such as Outreach, HubSpot, ZoomInfo, Gong, Clay, Apollo, or similar GTM platforms. - Ability to write and troubleshoot code (SOQL, SQL, Python, JavaScript) to support integrations and automation; experience with API management and prompt/context engineering. - Strong understanding of the B2B SaaS sales process, sales funnels, lead scoring, and how GTM teams operate across enterprise and mid-market segments. - Strong communication skills, able to explain technical concepts clearly to non-technical stakeholders. - Self-starter who thrives in a fast-paced, high-growth environment with ambiguous problems. Requirements - Experience working in a cloud-native, DevOps, or Kubernetes-adjacent business (Nice to Have). - Familiarity with iPaaS tools such as Workato, Zapier, or Tray.io for orchestrating system integrations (Nice to Have). - Exposure to data warehousing or BI tools (e.g., Snowflake, Looker, Tableau) (Nice to Have). - Experience supporting global sales teams across AMER, EMEA, and APAC (Nice to Have). Responsibilities - Own the architecture, administration, and optimization of core GTM platforms including Salesforce CRM, sales engagement tools, marketing automation, and intent data providers. - Design, build, and maintain integrations between GTM systems to ensure clean, consistent data flow across the revenue tech stack. - Identify and implement automation opportunities - workflow automations, AI agents, routing logic, and territory management - to reduce manual work and increase rep productivity. - Enforce data hygiene standards across the CRM and connected systems; proactively monitor system health, troubleshoot issues, and resolve them with minimal business disruption. - Partner with Sales, Marketing, and Customer Success leadership to gather requirements and translate business needs into scalable technical solutions. - Lead evaluation and implementation of new GTM tools, managing the full vendor assessment and rollout lifecycle. - Manage user provisioning, permission structures, and role-based access across all GTM platforms. - Document system configurations, processes, and data dictionaries to preserve institutional knowledge. Benefits - 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. - Equity options. - Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. - 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 that elevate your skills. - 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 - Team Interview - Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that 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.

Role Description You'll own the programs that turn our community into a real movement. We run two products under one roof: Cast AI for cloud-native infrastructure, and Kimchi, our agentic AI coding product. Both have growing communities, and both need someone who can support programs that scale, run effective events, and make practitioners feel recognized and connected. This is a hands-on operations role. You'll help design programs, build relationships with community members, handle logistics, manage budgets, and coordinate across regions. You'll report into the Ecosystem Growth team, working closely with Community, DevRel, Demand Gen, and the wider growth function. Qualifications - 3 to 5 years in a community, DevRel, Event, or field marketing role. - Hands-on experience organizing trade shows, conferences, or community events, including booth management, vendor coordination, and on-site execution. - Experience running community programs such as advocacy, ambassador, or certification. - Strong project management skills and the ability to run multiple events and programs at once. - Comfortable working with vendors, negotiating contracts, and managing logistics across regions. - Excellent communication and relationship-building skills. - A self-starter who thrives on ownership and works well in a distributed, fast-moving team. Requirements - Experience in Agentic AI or Cloud-Native industries (huge bonus). - AI-Native approach: building workflows, automations, and using agentic tooling in their work daily. Responsibilities - Community advocacy and recognition: Supporting and driving programs that celebrate the practitioners who show up for our community, and keep them engaged over time. - Ambassador and certification: The path for community members to go deeper with us through content, advocacy, and certification, across both internal and external tracks. - Community events: Our presence at third-party conferences and community events like KCD, DevOpsDays, SREcon, CloudNativeCon, and similar, end-to-end. - Regional meetups and socials: Community meetups and social events across EMEA, APAC, AMER, and LATAM, in a repeatable format that keeps our key cities' calendars full. - Community Experience & Customer swag: A program that gets the right thing to customers at the right moment in their journey. - New programs as we grow: As Kimchi scales, you'll help launch new community programs for it. Expect this to expand, and expect to shape it. Benefits - Competitive salary. - 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. - Equity options. - 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 that elevate your skills. - 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 - Hiring Manager interview - 1-2 additional interviews based on the role - Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that 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.

Role Description As a Director, AI & Startups and Business Development at Cast AI, you are a strategic and results-driven sales leader with experience in building, scaling, and optimizing outbound sales teams within Cloud SaaS industries. As Cast AI continues its rapid growth, we are looking for a dynamic leader to develop and mentor a high-performing AI & StartUps sales team, as well as the BDR team supporting Enterprise Sales. Qualifications - Proven experience in leading Sales teams, with a track record of exceeding pipeline goals. - 5+ years of experience in sales/sales development, with at least 2+ years in a leadership role. - Expertise in opportunity assessment, value discovery, and outbound prospecting. - Strong understanding of MEDDIC methodology and its application in pipeline qualification. - Ability to identify key contacts, craft compelling outreach, and drive engagement. - Deep passion for outbound prospecting and sales process optimization. - Experience in Kubernetes, cloud sales, or DevOps is a strong plus. Requirements - Leading and coaching a team of AEs and BDRs to drive pipeline growth. - Developing and optimizing outbound sales strategies. - Implementing and refining qualification frameworks to ensure high-quality leads. - Monitoring performance metrics and continuously improving outreach efficiency. - Collaborating with sales and marketing to enhance lead generation. Benefits - Join a fast-growing company at the forefront of cloud-native automation and Kubernetes technology. - Enjoy a flexible, remote-first global environment. - 401(k) retirement plan 100% company match on employee contributions up to 6% of pay (available after 3 months of employment). - Access UnitedHealthcare plans including medical, dental, and vision coverage. - Equity options. - Learning budget for your professional and personal growth. - Team-building budget and company events to connect with your colleagues. - Equipment budget to ensure you have everything you need. Hiring Process - Screening call with Recruiter - Hiring Manager interview - 1-2 additional interviews based on the role - Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that 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.

Title: Senior Software Engineer - Database Optimizer Location: Poland United States Job Description: Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don't. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role Databases are notoriously hard to optimize-with 350+ configuration parameters in PostgreSQL alone, even experienced engineers struggle to find the right settings. Have you ever dreamed about a database that continuously self-optimizes itself in the background, so you can focus on what really matters: building great products? Sometimes your queries slow down and it's not immediately clear why. Imagine a system that proactively detects performance degradation, analyzes the root cause, and automatically improves your queries and indexes for you-creating pull requests with the exact optimizations needed. CAST AI is seeking a skilled senior software engineer with expertise in databases and interest in understanding the underlying technology that makes them work. Knowledge of implementation details around transactions, wire protocols, WAL, indexes, query planning, and other fundamental database features will enable you to build a product that automates what's traditionally been manual and complex. You'll work on a greenfield project with high impact, creating intelligent systems that make database optimization effortless for our customers. 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, Slovenia, and Ukraine. Requirements: - Experience working with and troubleshooting PostgreSQL and/or MySQL in production environments - Experience troubleshooting database-related issues in one of your previous roles-whether as a DBA, backend engineer, SRE, or any position where you've debugged slow queries, optimized indexes, or resolved production database problems - Strong programming skills in Go and/or C++ - Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment - Strong written and verbal communication skills in English - Ability to work independently and collaboratively within a team - Startup mindset: adaptable, proactive, and comfortable with ambiguity - A proactive, problem-solving mindset with a "yes we can" attitude Here are some of the tools we use daily: - Mostly Golang with C++ in the most critical data pathways - Extending Envoy with custom network filters - ClickHouse and PostgreSQL for business metrics - GRPC and REST APIs - GitLab CI with ArgoCD as our GitOps CD engine - Prometheus, Grafana, Loki, and Tempo for observability - Deployment charts are written in Helm. Responsibilities: - Design, build, and operate database optimization services in Go and C++. - Develop features for query analysis, index recommendations, and automated performance tuning that deliver measurable database cost savings. - Extend and maintain integrations with PostgreSQL and MySQL protocols, cloud database services (RDS, Cloud SQL, Azure Database). - Implement query parsing, plan analysis, and recommendation algorithms that identify optimization opportunities. - Develop monitoring and alerting systems for database performance metrics, connection health, and cost tracking. - Shape public and internal APIs with an eye for simplicity and developer experience. - Participate in design reviews, code reviews, and occasional customer deep‑dives. What's in it for you? - Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) - 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. - Equity options. - Private health insurance. - Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. - 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 that elevate your skills. - 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. #LI-Remote

Title: Senior ML Engineer - Kimchi (LLM Inference Optimization) Location: Spain This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap. The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply. Stack Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo. Requirements: - 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks). - Strong Python - production services, not scripts. - Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU. - Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios. - Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups. - A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact. - Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it. Responsibilities: - Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it. - Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed. - Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own. - Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks. - Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't. - Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect. - Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments. What's in it for you? - Competitive salary (depending on the level of experience). - 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 - Equity options. - Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. - 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 that elevate your skills. - 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. #LI-Remote

Role Description As Customer Marketing Manager at Cast AI, you will turn real-world success stories into compelling proof points, build advocacy programs that amplify customer voices, and work cross-functionally to drive expansion and retention through marketing. This is a high-impact, high-visibility role where you'll own the full lifecycle of customer marketing, from reference programs and case studies to customer community engagement and expansion campaigns. Qualifications - 5+ years of experience in customer marketing, customer success marketing, or a closely related B2B marketing role. - Track record of building and managing customer advocacy programs from scratch in a SaaS or cloud-infrastructure company. - Strong storytelling skills: ability to translate complex technical outcomes (e.g., Kubernetes cost savings, autoscaling improvements) into clear, compelling narratives for technical and business audiences. - Experience producing customer case studies, video testimonials, and reference content across multiple formats and channels. - Familiarity with AI infrastructure, data platforms, or developer workflows is a plus. - Data-driven mindset with experience measuring the impact of customer marketing on pipeline, retention, and expansion. - Highly organized, with the ability to manage multiple programs and stakeholders simultaneously without losing quality. - Comfortable operating in a fast-paced, remote-first environment where ownership and initiative are expected. - English level: Fluent (written and spoken). Additional European languages are a plus. Requirements - Own and grow Cast AI's customer advocacy program, including customer stories and case studies across multiple formats. - Partner with Customer Success and Sales to support expansion and retention goals through marketing. - Build and scale community touchpoints and customer-focused campaigns tied to key business moments. - Develop and maintain a customer reference database, coordinating reference requests cross-functionally. - Track and report on the impact of customer marketing programs. Benefits - 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. - Equity options. - 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 that elevate your skills. - 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 - 1-2 additional interviews based on the role - Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that 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

Role Description Throughput. Latency. KV cache utilization. Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L. This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap. The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on: - Traffic shape - Sequence-length distribution - Batch dynamics - GPU SKU - Memory bandwidth - Quantization tolerance - A dozen other variables that shift week to week Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply. Qualifications - 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks). - Strong Python - production services, not scripts. - Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU. - Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios. - Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups. - A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact. - Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it. Requirements - Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it. - Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed. - Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own. - Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks. - Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't. - Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect. - Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments. Benefits - Competitive salary (depending on the level of experience). - 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. - Equity options. - Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. - 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 that elevate your skills. - 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, we would like to inform you that 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.

Role Description CAST AI is seeking a skilled senior software engineer with expertise in databases and interest in understanding the underlying technology that makes them work. Knowledge of implementation details around transactions, wire protocols, WAL, indexes, query planning, and other fundamental database features will enable you to build a product that automates what's traditionally been manual and complex. You will work on a greenfield project with high impact, creating intelligent systems that make database optimization effortless for our customers. 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 - Slovenia - Ukraine Qualifications - Experience working with and troubleshooting PostgreSQL and/or MySQL in production environments. - Experience troubleshooting database-related issues in one of your previous roles—whether as a DBA, backend engineer, SRE, or any position where you've debugged slow queries, optimized indexes, or resolved production database problems. - Strong programming skills in Go and/or C++. - Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment. - Strong written and verbal communication skills in English. - Ability to work independently and collaboratively within a team. - Startup mindset: adaptable, proactive, and comfortable with ambiguity. - A proactive, problem-solving mindset with a "yes we can" attitude. Requirements - Design, build, and operate database optimization services in Go and C++. - Develop features for query analysis, index recommendations, and automated performance tuning that deliver measurable database cost savings. - Extend and maintain integrations with PostgreSQL and MySQL protocols, cloud database services (RDS, Cloud SQL, Azure Database). - Implement query parsing, plan analysis, and recommendation algorithms that identify optimization opportunities. - Develop monitoring and alerting systems for database performance metrics, connection health, and cost tracking. - Shape public and internal APIs with an eye for simplicity and developer experience. - Participate in design reviews, code reviews, and occasional customer deep-dives. Benefits - Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). - 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. - Equity options. - Private health insurance. - Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. - 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 that elevate your skills. - 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.