Key Responsibilities Design and implement scalable, resilient, and cost-effective cloud architectures across AWS, Azure, and GCP. Lead Infrastructure-as-Code initiatives using Terraform, CloudFormation, and ARM templates . Architect and manage containerized environments with Docker and Kubernetes at enterprise scale. Build secure cloud networking solutions (VPCs, load balancers, firewalls, segmentation). Drive DevOps best practices , including CI/CD pipelines and automated deployment strategies. Establish and maintain cloud security frameworks aligned with SOC 2, GDPR, and industry standards. Optimize cloud spend through resource management, rightsizing, and automation tools . Design and implement data lake and big data architectures to support AI/ML workloads. Develop monitoring, logging, and observability frameworks with Prometheus, Grafana, and ELK stack. Partner with engineering teams to define technical requirements and guide architectural decisions. Lead disaster recovery and business continuity planning for mission-critical systems. Stay ahead of emerging cloud technologies and assess their business impact. Requirements Essential Qualifications Bachelor’s degree in Computer Science, Engineering, or related technical field. 8+ years of experience in cloud architecture, design, and implementation . Deep expertise in one or more cloud platforms ( AWS, Azure, GCP ). Proven track record designing and implementing scalable, resilient, and highly available solutions. Strong knowledge of cloud networking (VPC, load balancing, firewalls). Hands-on experience with IaC tools (Terraform, CloudFormation, ARM). Proficiency in containerization (Docker), orchestration (Kubernetes) , and serverless technologies. Solid background in DevOps practices and cloud cost optimization . Knowledge of cloud security & compliance standards (SOC 2, GDPR). Experience with data lakes and big data technologies in the cloud. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK). Excellent communication and collaboration skills. Preferred Qualifications Master’s degree in Computer Science, Engineering, or related field. Multiple cloud certifications (e.g., AWS Solutions Architect Pro, Azure Architect Expert, GCP Professional Architect ). Experience with AI/ML infrastructure and MLOps pipelines . Advanced knowledge of microservices architecture and service mesh (Istio, Envoy, Helm). Experience with multi-cloud and hybrid cloud architectures and enterprise migrations. Knowledge of advanced security practices (Zero-Trust, PCI-DSS, HIPAA). Experience leading technical teams, mentoring engineers, and managing cloud budgets > $1M . Exposure to chaos engineering, edge computing, and CDN architectures . Previous experience in a startup or high-growth technology company . Work Location: This role can also be based in Athens or the San Francisco Bay Area
Key Responsibilities Design and implement scalable, resilient, and cost-effective cloud architectures across AWS, Azure, and GCP. Lead Infrastructure-as-Code initiatives using Terraform, CloudFormation, and ARM templates . Architect and manage containerized environments with Docker and Kubernetes at enterprise scale. Build secure cloud networking solutions (VPCs, load balancers, firewalls, segmentation). Drive DevOps best practices , including CI/CD pipelines and automated deployment strategies. Establish and maintain cloud security frameworks aligned with SOC 2, GDPR, and industry standards. Optimize cloud spend through resource management, rightsizing, and automation tools . Design and implement data lake and big data architectures to support AI/ML workloads. Develop monitoring, logging, and observability frameworks with Prometheus, Grafana, and ELK stack. Partner with engineering teams to define technical requirements and guide architectural decisions. Lead disaster recovery and business continuity planning for mission-critical systems. Stay ahead of emerging cloud technologies and assess their business impact. Requirements Essential Qualifications Bachelor’s degree in Computer Science, Engineering, or related technical field. 8+ years of experience in cloud architecture, design, and implementation . Deep expertise in one or more cloud platforms ( AWS, Azure, GCP ). Proven track record designing and implementing scalable, resilient, and highly available solutions. Strong knowledge of cloud networking (VPC, load balancing, firewalls). Hands-on experience with IaC tools (Terraform, CloudFormation, ARM). Proficiency in containerization (Docker), orchestration (Kubernetes) , and serverless technologies. Solid background in DevOps practices and cloud cost optimization . Knowledge of cloud security & compliance standards (SOC 2, GDPR). Experience with data lakes and big data technologies in the cloud. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK). Excellent communication and collaboration skills. Preferred Qualifications Master’s degree in Computer Science, Engineering, or related field. Multiple cloud certifications (e.g., AWS Solutions Architect Pro, Azure Architect Expert, GCP Professional Architect ). Experience with AI/ML infrastructure and MLOps pipelines . Advanced knowledge of microservices architecture and service mesh (Istio, Envoy, Helm). Experience with multi-cloud and hybrid cloud architectures and enterprise migrations. Knowledge of advanced security practices (Zero-Trust, PCI-DSS, HIPAA). Experience leading technical teams, mentoring engineers, and managing cloud budgets > $1M . Exposure to chaos engineering, edge computing, and CDN architectures . Previous experience in a startup or high-growth technology company . Work Location: This role can also be based in Athens or the San Francisco Bay Area
Role Overview We are seeking a highly motivated and skilled AI Data Scientist to join our growing team. You will be responsible for the entire data lifecycle, from acquisition and cleaning to processing and preparation for training our cutting-edge AI models. A key focus of this role will be developing innovative synthetic data generation techniques to augment existing datasets and improve model performance. You will play a vital role in building robust and scalable data pipelines that power our AI-driven automation solutions. Qualifications · 3+ years of experience in data science, with a focus on data preparation and feature engineering. · Strong proficiency in data acquisition techniques, including web scraping, API integration, and database querying (SQL and NoSQL). · Expertise in data cleaning, normalization, and preprocessing techniques for various data types (structured, unstructured, time-series). · Proven experience in synthetic data generation techniques, including generative models (GANs, VAEs) and data augmentation methods. · Solid understanding of data pipeline architectures and tools (e.g., Apache Airflow, Luigi, Prefect). · Proficiency in Python and experience with data science libraries (Pandas, NumPy, Scikit-learn). · Experience with cloud-based data storage and processing platforms (AWS S3, Google Cloud Storage, Azure Blob Storage). · Bachelor’s Degree in Computer Science, Statistics, Mathematics, or related field. · Strong problem-solving and analytical skills. · Experience with big data technologies (Spark, Hadoop). · Experience with data quality monitoring and validation techniques. · Experience with data governance and data privacy principles. · Experience with feature stores and feature engineering platforms. · Experience with data visualization tools (Tableau, Power BI).
The ideal candidate will have a degree in computer science and experience in developing multiple applications. This candidate should be able to generate clean code and optimal solutions based on the outlined criteria. This candidate should also work closely with various teams in order to establish best practices, codes to utilize and ultimately, execute in creating a highly functional application. Responsibilities We are seeking a talented and versatile Business Application Engineer to build, deploy, and maintain critical applications that power our AI-driven automation solutions. You will be instrumental in bridging the gap between our core AI models and the enterprise software our clients use daily, enabling seamless integration and maximum impact. This role is key to delivering scalable and robust applications that augment our clients’ workflows and empower their teams. Qualifications Full-stack development expertise (3+ years experience preferred) including proficiency in modern frontend frameworks (e.g., React, Angular, Vue.js) Strong backend development skills using languages such as Python, Java, or Node.js Solid understanding of database design and management (PostgreSQL, MongoDB) Experience with cloud development platforms (AWS, Azure, or GCP) – including deployment, scaling, and monitoring. Proven experience integrating applications with enterprise software systems (e.g., Salesforce, SAP, Workday, NetSuite) – APIs, webhooks, etc. Strong problem-solving and analytical skills. Experience with version control systems (Git) and CI/CD pipelines (Jenkins). Experience with containerization technologies (Docker, Kubernetes). Knowledge of security best practices for web applications. Experience with testing frameworks (unit, integration, end-to-end). Bachelor’s Degree in Computer Science, Engineering, or related field.
Role Overview We are seeking a highly motivated and skilled AI Automation Engineer to build and deploy cutting-edge AI-powered automation solutions for our clients. You will be responsible for designing, developing, and maintaining AI agents and integrating them seamlessly into existing workflows using leading automation platforms and middleware frameworks. This role is critical in bringing our AI capabilities to life and delivering tangible business value through automated processes. You’ll be at the forefront of orchestrating AI to solve real-world challenges. Qualifications · 3+ years of experience in software engineering with a focus on automation. · Proven experience building and deploying AI agents (Agent-to-Agent communication, Multi-Agent Platforms). · Solid understanding of AI middleware frameworks like LangChain, including prompt engineering, chains, and agents. · Hands-on experience with automation platforms such as n8n, Make (formerly Integromat), or similar tools (Zapier, Pipedream). · Proficiency in Python and experience with relevant libraries (e.g., OpenAI API, requests, JSON). · Experience integrating APIs and webhooks. · Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker). · Strong problem-solving and analytical skills. · Bachelor’s Degree in Computer Science, Engineering, or related field. · Experience with workflow orchestration tools (e.g., Apache Airflow, Prefect). · Knowledge of robotic process automation (RPA) principles and tools. · Experience with version control systems (Git). · Experience with monitoring and logging tools. · Understanding of security best practices for automation workflows.
Key Responsibilities Design and implement scalable, resilient, and cost-effective cloud architectures across AWS, Azure, and GCP. Lead Infrastructure-as-Code initiatives using Terraform, CloudFormation, and ARM templates. Architect and manage containerized environments with Docker and Kubernetes at enterprise scale. Build secure cloud networking solutions (VPCs, load balancers, firewalls, segmentation). Drive DevOps best practices , including CI/CD pipelines and automated deployment strategies. Establish and maintain cloud security frameworks aligned with SOC 2, GDPR, and industry standards. Optimize cloud spend through resource management, rightsizing, and automation tools . Design and implement data lake and big data architectures to support AI/ML workloads. Develop monitoring, logging, and observability frameworks (Prometheus, Grafana, ELK). Partner with engineering teams to define technical requirements and guide architectural decisions. Lead disaster recovery and business continuity planning for mission-critical systems. Stay ahead of emerging cloud technologies and assess their business impact. Requirements Essential Qualifications Bachelor’s degree in Computer Science, Engineering, or related technical field. 8+ years of experience in cloud architecture, design, and implementation . Deep expertise in one or more cloud platforms (AWS, Azure, GCP) . Proven track record designing highly available and scalable solutions . Strong knowledge of cloud networking (VPC, load balancing, firewalls). Hands-on experience with IaC tools (Terraform, CloudFormation, ARM). Proficiency in containerization (Docker) , orchestration ( Kubernetes ), and serverless technologies. Solid background in DevOps and cloud cost optimization . Knowledge of cloud security & compliance standards (SOC 2, GDPR). Experience with data lakes and big data technologies in the cloud. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK). Excellent communication and collaboration skills . Preferred Qualifications Master’s degree in Computer Science, Engineering, or related field. Multiple cloud certifications (AWS Solutions Architect Pro, Azure Architect Expert, GCP Professional Architect). Experience with AI/ML infrastructure and MLOps pipelines . Advanced knowledge of microservices architecture and service mesh (Istio, Envoy, Helm). Experience with multi-cloud, hybrid cloud architectures , and enterprise migrations. Knowledge of advanced security practices ( Zero-Trust, PCI-DSS, HIPAA ). Experience leading technical teams, mentoring engineers, and managing cloud budgets > $1M . Exposure to chaos engineering, edge computing, and CDN architectures . Previous experience in a startup or high-growth technology company . Work Location: Athens, Greece or San Francisco Bay Area, USA
Role Overview We are seeking an exceptional Principal Enterprise Software Engineer to serve as a technical leader and architectural authority for our engineering organization. In this role, you will be responsible for designing and implementing distributed, multi-tenant systems that operate at scale while maintaining the highest standards of reliability, security, and performance. As a Principal Engineer, you will be the driving force behind our architectural decisions, establishing and evangelizing best practices across the organization. You will work on our most complex technical challenges, designing systems that abstract away infrastructure complexity while delivering cloud-agnostic solutions that can seamlessly operate across any deployment environment. Your deep expertise in distributed systems will be crucial in solving problems related to data consistency, system resilience, and performance optimization at scale. You will collaborate closely with engineering teams to ensure our platforms embody principles of modularity and isolation, enabling rapid development while maintaining system integrity. This role requires both hands-on technical excellence and the ability to influence and mentor engineers across the organization, setting the technical vision for how we build enterprise-grade software systems. Qualifications Required: 10+ years of hands-on experience designing and building distributed, multi-tenant, large-scale business applications in production environments Expert-level knowledge of database technologies (both SQL and NoSQL), including deep understanding of query optimization, indexing strategies, sharding, and replication patterns Extensive experience with ORM frameworks and their appropriate use cases, including performance implications and anti-patterns Proven expertise in message broker architectures (Kafka, RabbitMQ, SQS, etc.) and event-driven systems design Deep understanding of API design principles, including RESTful services, GraphQL, gRPC, and the implementation of idempotent operations Mastery of distributed systems concepts including eventual consistency, CAP theorem, consensus algorithms, and conflict resolution strategies Demonstrated experience building resilient systems with circuit breakers, retry mechanisms, graceful degradation, and chaos engineering practices Strong background in security best practices including authentication/authorization patterns, data encryption, secret management, and zero-trust architectures Proven track record of performance optimization at scale, including profiling, load testing, and systematic bottleneck elimination Experience designing cloud-agnostic architectures with successful deployments across multiple cloud providers (AWS, GCP, Azure) and on-premises environments Excellence in creating modular, loosely-coupled systems with clear service boundaries and well-defined interfaces Preferred: Active contributions to open-source projects, particularly in areas related to distributed systems, databases, or cloud infrastructure Experience with container orchestration platforms (Kubernetes, Docker Swarm) and infrastructure as code Experience with polyglot architectures and multiple programming paradigms Track record of successfully migrating legacy monolithic applications to modern distributed architectures Experience with observability platforms and distributed tracing systems
As a Principal Enterprise Software Engineer at our organization, you will play a pivotal role in leading technical initiatives and shaping the architectural landscape of our engineering organization. Your primary responsibilities will include: - Designing and implementing distributed, multi-tenant systems that operate at scale with a focus on reliability, security, and performance. - Driving architectural decisions and promoting best practices throughout the organization. - Collaborating with engineering teams to ensure modularity and isolation in platform development. - Mentoring and influencing engineers to uphold technical excellence and system integrity. To excel in this role, you should meet the following qualifications: Required: - Possess 10+ years of hands-on experience in designing and developing large-scale business applications in production environments. - Demonstrate expert-level knowledge of both SQL and NoSQL database technologies, including query optimization, indexing strategies, sharding, and replication patterns. - Showcase extensive experience with ORM frameworks, message broker architectures, and API design principles. - Exhibit mastery of distributed systems concepts, security best practices, and performance optimization at scale. - Have a proven track record of designing cloud-agnostic architectures and creating modular, loosely-coupled systems. Preferred: - Show active contributions to open-source projects, experience with container orchestration platforms, and proficiency in polyglot architectures. - Demonstrate a track record of migrating legacy monolithic applications to modern distributed architectures and familiarity with observability platforms. This position offers you the opportunity to lead technical innovations, collaborate with diverse engineering teams, and contribute to the development of cutting-edge software systems.,
Role Overview: You are sought after to take on the role of VP of Engineering in an enterprise AI solutions company. Reporting directly to the CEO, you will lead and scale the engineering organization by setting the engineering vision and actively contributing to critical technical challenges. This role requires a hands-on technical leader with a background in coding, system architecture, and product scaling. Key Responsibilities: - Own the technical decision-making process for scaling AI cloud solutions in the enterprise domain - Lead by example by engaging in solving complex distributed systems challenges and mentoring a top-notch engineering team - Establish the engineering culture, drive architectural decisions, and ensure technical excellence is maintained at the highest standard - Own the technical vision for scaling the AI platform globally, focusing on serving enterprise customers - Review code, contribute to architecture decisions, and occasionally pair program on critical features - Build and mentor a high-performing engineering team emphasizing quality over quantity - Establish engineering excellence standards and best practices to facilitate fast-paced development without compromising quality - Drive the integration of cutting-edge AI technologies into the enterprise platform - Ensure enterprise-grade reliability, security, and performance of systems at scale - Lead the core technology hub establishment in India Qualifications Required: - 12+ years of hands-on software engineering experience, with a focus on building and scaling cloud-native applications - Proven track record of launching and scaling products to millions of users - Extensive experience in architecting and building distributed cloud systems, including microservices and event-driven architectures - Active coding skills and experience reviewing PRs, prototyping solutions, and hands-on coding - Startup experience and ability to thrive in resource-constrained environments - Deep passion for AI/ML technologies with hands-on experience in integrating ML models - Experience leading distributed international teams and building strong engineering culture remotely - Technical leadership experience in mentoring, making critical architectural decisions, and balancing technical debt with product velocity - Strong background in modern engineering practices including CI/CD, infrastructure as code, observability, and DevOps culture - Excellent technical communication skills and the ability to explain complex concepts to non-technical stakeholders About DeepRunner AI: DeepRunner AI is dedicated to revolutionizing the workplace through AI-powered automations that empower human workers. They aim to create a collaborative future of work where AI handles repetitive tasks, allowing humans to focus on strategic thinking and complex problem-solving. The company offers a competitive salary, equity package, the opportunity to shape the technical direction of a high-growth AI startup, work with cutting-edge AI technologies, and a flexible, remote-friendly work environment with a globally distributed team.,
As a Principal Enterprise Software Engineer, you will play a crucial role as a technical leader and architectural authority within the engineering organization. Your responsibilities will include designing and implementing distributed, multi-tenant systems that operate at scale while upholding the highest standards of reliability, security, and performance. You will be tasked with making architectural decisions, establishing best practices, and working on complex technical challenges related to distributed systems. Key Responsibilities: - Drive architectural decisions and best practices within the organization - Design systems that abstract away infrastructure complexity and deliver cloud-agnostic solutions - Collaborate with engineering teams to ensure platforms embody principles of modularity and isolation - Influence and mentor engineers across the organization to set the technical vision for building enterprise-grade software systems Qualifications Required: - 10+ years of hands-on experience designing and building distributed, multi-tenant, large-scale business applications in production environments - Expert-level knowledge of database technologies (SQL and NoSQL), including query optimization, indexing strategies, sharding, and replication patterns - Extensive experience with ORM frameworks, message broker architectures, API design principles, and distributed systems concepts - Strong background in security best practices and performance optimization at scale - Experience designing cloud-agnostic architectures with successful deployments across multiple cloud providers and on-premises environments - Excellence in creating modular, loosely-coupled systems with clear service boundaries and well-defined interfaces Preferred Qualifications: - Active contributions to open-source projects related to distributed systems, databases, or cloud infrastructure - Experience with container orchestration platforms and infrastructure as code - Familiarity with polyglot architectures, multiple programming paradigms, and legacy application migrations - Experience with observability platforms and distributed tracing systems (Note: No additional details about the company were provided in the job description.),