Role Description We're expanding our Prompt Engineering team and are looking for a Conversational Designer to join us! Qualifications - Native Portuguese speaker — this role involves designing and writing conversational content entirely in Portuguese; native-level fluency is mandatory - 2–3+ years of hands-on experience working on AI/ML or conversational AI projects — ideally in fintech, telecom, or retail - Proven experience writing and iterating prompts for LLMs (GPT, Claude, Gemini, or similar) for real business use cases - Experience designing end-to-end conversational flows for chatbots or AI agents, including intent mapping, dialogue trees, and fallback handling — experience with RASA is a strong plus - Background in business process analysis: ability to translate complex workflows into clear, structured dialogue scenarios - Strong written communication skills — you will be writing production-level bot copy and prompt instructions, not just specs - Python scripting skills are a plus Requirements - Analyze how business processes work on the client side: study internal instructions for employees, as well as real conversation recordings and transcripts - Based on this analysis, design scripts and prompts for AI agents to automate these processes - Create training and test data sets - Develop and apply methodologies to assess the quality of the AI agents’ performance and use them to refine the agents Benefits - The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment - High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly - Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else - Startup pace with enterprise stability — real clients, real revenue, no bureaucracy - Fully remote across Europe - 21 vacation days + public holidays + 5 sick days - Private English lessons via Preply

Role Description We are seeking a highly skilled Database Reliability Engineer (DBRE) to join our Database Management team. This role is critical to ensuring the reliability, security, and performance of our PostgreSQL and cloud-based database environments. You will work across AWS platforms, optimize database operations, and contribute to long-term reliability engineering initiatives. Key Responsibilities - Validate backup and recovery plans to meet RPO/RTO objectives for PostgreSQL and other DBMS environments. - Support high availability and reliability across PostgreSQL AWS RDS/Aurora environments. - Maintain database security through AWS IAM integration, parameter groups, and encryption standards. - Monitor workloads and query performance for optimal system behavior. - Confidently support operational needs of PostgreSQL environments on AWS. - Participate in Database On-Call Rotation. - Diagnose database issues at SQL and engine layers; collaborate with development teams for solutions. - Identify automation opportunities using scripting, cloud-native tooling, or observability platforms. - Perform performance tuning using EXPLAIN/EXPLAIN ANALYZE and monitoring tools. - Learn and share knowledge of Kondragunta’s diverse application data landscapes (SaaS, OLTP, reporting, warehousing). After 6 Months and Ongoing - Streamline procedures and develop robust documentation. - Cross-train team members on PostgreSQL and cloud DBMS technologies. - Mentor new DBREs/DBAs in best practices. - Expand coverage to additional DBMS technologies: - MySQL - SQL Server - DB2 - MongoDB - Amazon Redshift - Neptune - DynamoDB - MemoryDB - ElastiCache/Redis - Snowflake - Develop cross-platform DBMS competency. - Leverage AI-assisted analysis tools for root cause identification and observability. - Contribute to reliability engineering initiatives improving resiliency, automation, and operational efficiency. Qualifications - Bachelor’s degree in a technical discipline or equivalent experience. - 6+ years of PostgreSQL DBA/DBRE experience in 24×7 production environments. - AWS RDS/Aurora PostgreSQL experience preferred. Requirements - PostgreSQL Administration in production (6+ years). - Strong experience with AWS RDS/Aurora PostgreSQL. - AWS RDS Certified Professional is preferred. - Strong SQL and PL/pgSQL skills. - Backup/recovery strategies and HA/DR concepts. - AWS security practices (IAM, KMS, encryption). - Performance tuning and query optimization. - Scripting for automation (Python/Bash). - Troubleshooting and root cause analysis. Nice-to-Have Skills - Experience with other AWS DBMS: MySQL, SQL Server, MongoDB, Redshift, DynamoDB, ElastiCache, MemoryDB, Neptune, Snowflake. - Linux OS and shell scripting. - Data warehousing and OLTP/OLAP patterns. - Observability tools (pgBadger, Performance Insights). - CI/CD, Infrastructure-as-Code (CloudFormation, Terraform, CDK). - Familiarity with AI/ML-driven monitoring and automation. - Agile/DevOps/SRE practices. Benefits

• Prepara un programma specifico per aiutare l'apprendimento dello studente • Comincia a dare lezioni private da subito • Serietà, puntualità e professionalità con gli studenti

• Assist HON program team with Mission Assurance and Quality Assurance activities for successful program execution • Support internal and external customer meetings • Identifies and implements mission assurance/quality strategies to improve program performance and customer relationships • Support risk management process including coaching on implementation of mitigation burn-down plans • Support Honeywell’s suppliers to ensure customer requirements are understood and met at the lowest levels • Champion Mission Assurance and Quality Assurance rigor across HON functional groups (e.g., Quality, Engineering, Program Management) as required • Support robust Root Cause Corrective Action (RCCA) development and implementation, and product/process improvements • Support PRB, MRB, and CCB discussions and provide recommendations • Help prepare for and participate in Customer Hardware Acceptance Reviews (HARS)