Software Engineer, Data Infrastructure & Acquisition - Palo Alto, CA, USA

🏢 Summary: Software Engineer on the AI Data team responsible for building and operating large-scale audio data ingestion pipelines to support model training. The role focuses on sourcing audio data, extending cloud infrastructure on GCP with Terraform, and collaborating with scientists to optimize cost, throughput, and data quality at petabyte scale. This position directly powers next-generation AI-driven consumer and enterprise products. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of industry experience in software development, Proficiency in Bash scripting, Proficiency in Python, Experience working in Linux environments, Experience with Docker, Experience with Infrastructure-as-Code concepts, Professional experience with a major cloud provider, Strong communication skills (written and verbal) 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Infrastructure-as-Code, Web, Data, AI 🏢 Description: Overview We're looking to hire for our Data side of our AI team. This role is responsible for all aspects of data collection to support our model training operations. We build high-quality datasets at petabyte-scale and low cost through tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do - Be scrappy to find new sources of audio data and bring it into our ingestion pipeline - Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform - Collaborate closely with Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power next-generation models - Collaborate with others on the AI Team and Leadership to craft the dataset roadmap to power next-generation consumer and enterprise products An Ideal Candidate Should Have - BS/MS/PhD in Computer Science or a related field - 5+ years of industry experience in software development - Proficiency with bash/Python scripting in Linux environments - Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (GCP) - Experience with web crawlers and large-scale data processing workflows is a plus - Ability to handle multiple tasks and adapt to changing priorities - Strong communication skills, both written and verbal What We Offer - A fast-growing environment where you can help shape the company and product - An entrepreneurial-minded team that supports risk, intuition, and hustle - A hands-off management approach so you can focus and do your best work - An opportunity to make a big impact in a transformative industry - Competitive salaries, bonus, and equity depending on experience - A friendly and laid-back atmosphere with a commitment to building a strong asynchronous culture - Opportunity to work on a product used by millions of people - Work in the fast-growing intersection of artificial intelligence and audio

🏢 Summary: Software Engineer on the AI Data team responsible for building and scaling data collection and ingestion infrastructure to support large-scale model training. The role focuses on sourcing audio data, operating cloud-based pipelines on GCP, and collaborating with scientists to optimize cost, throughput, and quality. You will help power next-generation AI models by delivering high-quality datasets at petabyte scale. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of industry experience in software development, Proficiency in Bash and Python scripting, Experience working in Linux environments, Proficiency in Docker, Experience with Infrastructure-as-Code, Professional experience with at least one major cloud provider (GCP preferred), Ability to manage multiple tasks and changing priorities, Strong written and verbal communication skills 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Infrastructure-as-Code, Web, Crawlers, Data, Processing, Cloud 🏢 Description: Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do - Be scrappy to find new sources of audio data and bring it into our ingestion pipeline - Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform - Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models - Collaborate with others on the AI Team and Leadership to craft the dataset roadmap to power next-generation consumer and enterprise products An Ideal Candidate Should Have - BS/MS/PhD in Computer Science or a related field - 5+ years of industry experience in software development - Proficiency with Bash/Python scripting in Linux environments - Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (GCP) - Experience with web crawlers and large-scale data processing workflows is a plus - Ability to handle multiple tasks and adapt to changing priorities - Strong communication skills, both written and verbal What We Offer - A fast-growing environment where you can help shape the company and product - An entrepreneurial-minded team that supports risk, intuition, and hustle - A hands-off management approach so you can focus and do your best work - An opportunity to make a big impact in a transformative industry - Competitive salary, bonus, and equity depending on experience - Opportunity to work on a product used by millions of people - Work in the intersection of artificial intelligence and audio

🏢 Summary: Software Engineer on the AI Data team responsible for building and scaling audio data ingestion pipelines to support large-scale model training. The role focuses on sourcing audio data, operating cloud infrastructure on GCP with Terraform, and collaborating with scientists to optimize cost, throughput, and quality of datasets. This position contributes to the dataset roadmap powering next-generation AI-driven audio products. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of industry experience in software development, Proficiency in Bash scripting, Proficiency in Python, Experience working in Linux environments, Proficiency in Docker, Experience with Infrastructure-as-Code, Professional experience with a major cloud provider (GCP preferred), Ability to manage multiple tasks and shifting priorities, Strong written and verbal communication skills 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Infrastructure-as-Code, WebCrawling, DataProcessing 🏢 Description: Overview We're looking to hire for our Data side of our AI team. This role is responsible for all aspects of data collection to support model training operations. We build high-quality datasets at petabyte scale through tight integration of infrastructure, engineering, and research work. We are seeking a skilled Software Engineer to join the team. What You'll Do - Find new sources of audio data and bring them into the ingestion pipeline - Operate and extend the cloud infrastructure for the ingestion pipeline, currently running on GCP and managed with Terraform - Collaborate closely with Scientists to improve cost, throughput, and quality of datasets, delivering richer data at larger scale and lower cost - Collaborate with the AI Team and leadership to craft the dataset roadmap powering next-generation consumer and enterprise products An Ideal Candidate Should Have - BS/MS/PhD in Computer Science or a related field - 5+ years of industry experience in software development - Proficiency with Bash/Python scripting in Linux environments - Proficiency in Docker and Infrastructure-as-Code concepts - Professional experience with at least one major Cloud Provider (GCP preferred) - Experience with web crawlers and large-scale data processing workflows is a plus - Ability to handle multiple tasks and adapt to changing priorities - Strong written and verbal communication skills What We Offer - A fast-growing environment with opportunity to shape the product - An entrepreneurial-minded team that supports risk-taking and initiative - Hands-off management approach focused on autonomy - Opportunity to make significant impact in the AI and audio industry - Competitive salary, bonus, and equity - Commitment to building a strong asynchronous culture - Opportunity to work on products supporting people with learning differences Compensation The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience. Speechify is committed to a diverse and inclusive workplace and does not discriminate on the basis of legally protected characteristics.

🏢 Summary: Software Engineer role on the AI Data team focused on building and operating large-scale audio data ingestion pipelines to support model training. The position involves developing cloud infrastructure on GCP, integrating new audio data sources, and collaborating with AI researchers to optimize cost, scale, and data quality. This is a high-impact role contributing to next-generation AI-powered consumer and enterprise products. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of industry experience in software development, Proficiency in Bash and Python scripting, Experience working in Linux environments, Proficiency in Docker, Experience with Infrastructure-as-Code, Professional experience with at least one major cloud provider, Strong written and verbal communication skills 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Infrastructure-as-Code, Web-crawlers, Data-processing 🏢 Description: Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do - Be scrappy to find new sources of audio data and bring it into our ingestion pipeline - Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform - Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models - Collaborate with others on the AI Team and Leadership to craft the AI Team's dataset roadmap to power next-generation consumer and enterprise products An Ideal Candidate Should Have - BS/MS/PhD in Computer Science or a related field - 5+ years of industry experience in software development - Proficiency with Bash/Python scripting in Linux environments - Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (GCP) - Experience with web crawlers and large-scale data processing workflows is a plus - Ability to handle multiple tasks and adapt to changing priorities - Strong communication skills, both written and verbal What We Offer - A fast-growing environment where you can help shape the company and product - An entrepreneurial-minded team that supports risk, intuition, and hustle - A hands-off management approach so you can focus and do your best work - An opportunity to make a big impact in a transformative industry - Competitive salary, bonus, and equity depending on experience - Opportunity to work on a product used by millions of people - Work in the fast-growing sector at the intersection of artificial intelligence and audio Compensation The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience.

🏢 Summary: Remote Software Engineer role focused on building AI-powered data products and backend services for the logistics domain. The position involves integrating AI/ML models into production, developing AI-driven features such as chatbots and recommendation engines, and orchestrating AI pipelines. You will work with TypeScript/JavaScript, Node.js, and Python to deliver scalable, intelligent solutions. 🗂️ Requirements: 3–4 years of experience with TypeScript/JavaScript, Proven commercial experience with Node.js, Professional experience with Python, Hands-on experience integrating AI/ML models into production systems, Experience building backend services consuming AI outputs, Experience orchestrating AI pipelines, Experience designing chatbots or recommendation engines, Experience integrating LLMs into applications, Upper-Intermediate English level 📃 Skills: TypeScript, JavaScript, Node.js, Python, AI, ML, LLMs, React, Backend, APIs, Chatbots, Recommendation, Pipelines 🏢 Description: Are you passionate about building intelligent systems that transform industries? We are looking for a Software Engineer to join our team and work on cutting-edge AI-powered solutions in the logistics domain. This is a remote position, offering flexibility and the opportunity to collaborate with international teams. We at Sigma Software value innovation, quality, and teamwork, and provide our specialists with challenging projects and professional growth opportunities. Why join us? You will work on impactful AI-driven products, gain exposure to advanced technologies, and be part of a company that supports continuous learning and career development. Customer Our customer is one of Europe’s leading logistics providers, headquartered in Germany. They specialize in developing and implementing integrated supply chain systems, leveraging advanced data analytics to optimize logistics operations. Recognized for innovation and efficiency, they deliver solutions that enhance operational performance across diverse industries. Project The project focuses on developing advanced data products, including an AI assistant capable of performing analysis and providing insights based on user queries. The team is also building tools to support the client’s internal processes, integrating AI/ML models into production systems, and designing AI-powered features such as chatbots and recommendation engines. Requirements 3–4 years of development experience with TypeScript/JavaScript technology stack Proven experience with Node.js Experience with Python Hands-on experience integrating AI/ML models into production systems Experience building backend services that consume AI outputs and orchestrate AI pipelines Experience designing AI-powered features such as chatbots or recommendation engines Familiarity with integrating LLMs into applications Strong communication and multitasking skills Strong problem-solving and decision-making abilities with a focus on results Upper-Intermediate level of English WILL BE A PLUS: Experience with React Personal Profile Motivated, self-driven, and positive individual Strong communication skills Ability to multitask and manage priorities effectively Skilled in solving complex problems under tight deadlines Passionate about leveraging technology to deliver impactful results Responsibilities Design, develop, and maintain backend services using TypeScript/JavaScript and Node.js Integrate AI/ML models into production environments to support business processes Build and orchestrate AI pipelines that consume model outputs and deliver actionable insights Develop AI-powered features such as chatbots and recommendation engines Collaborate closely with cross-functional teams to ensure seamless integration of AI solutions into applications Participate in architectural discussions and contribute to solution design Ensure high-quality code through testing, reviews, and adherence to best practices Communicate effectively with stakeholders and team members to align on requirements and deliverables

🏢 Summary: Software Engineer role focused on building scalable data platforms and pipelines for AI model training, including data acquisition, preparation, orchestration, monitoring, and quality evaluation. The position involves collaborating with ML and data teams to develop reliable systems that support large-scale training workflows and improve model performance. 🗂️ Requirements: Bachelor's degree in Computer Science, Data Science, Engineering, Math, Physics, or related field OR 2+ years of professional software experience, 1+ years of experience in software engineering, application development, data engineering, or data science, Experience with programming languages such as Python, Rust, Java, C#, Scala, or Go, Experience with frontend frameworks such as Angular or React, Hands-on experience with Kubernetes and containerized deployments, Experience with relational and non-relational databases, Understanding of version control, testing, CI/CD, deployment, and monitoring, Understanding of statistics and machine learning frameworks 📃 Skills: Python, Rust, Java, C#, Scala, Go, Angular, React, Kubernetes, Ray, PostgreSQL, Iceberg, Clickhouse, Grafana, Superset, CI/CD, Docker, SQL, MachineLearning 🏢 Description: ABOUT THE ROLE: At xAI, we are building AI systems that push the frontier of human knowledge and scientific discovery. High-quality data is fundamental to every stage of that mission. Our Data team is responsible for ensuring that the models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle. This includes partnering closely with acquisition teams to identify where valuable data can be sourced, determining what data is needed to improve model performance, and building the production pipelines and systems that transform raw inputs into high-quality training data at scale. We work at the intersection of software, data, infrastructure, and machine learning to ensure our models train effectively and reliably. As a Software Engineer on xAI's Data team, you will be responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training. You will provide the ability to run training in a reliable, scalable and repeatable manner. You will also provide visibility on training status and data lineage. You will work closely with acquisition teams, ML engineers, and data engineers to build a reliable data pipeline to run training at scale. The ideal candidate combines strong software engineering fundamentals and excellent coding practices. RESPONSIBILITIES: - Develop a highly reliable and scalable enterprise data platform to orchestrate data acquisition, preparation, training, quality evaluation, and delivery for model training - Create new features such as data lineage, visibility, and monitoring for end-to-end training that improve the quality of the data and model performance - Collaborate with peers on architecture, design, and code reviews - Build prototypes to prove out key design concepts and quantify technical constraints - Own all aspects of software engineering and product development - Deep dive into business problems, find efficient solutions and apply first principles thinking BASIC QUALIFICATIONS: - Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree - 1+ years of experience in application development, software engineering, data engineering, or data science PREFERRED SKILLS AND EXPERIENCE: - Programming experience in Python, Rust, Java, C#, Scala, Go or similar languages - Frontend experience in Angular, React, or similar JavaScript frameworks - Hands-on experience with Kubernetes and containerized deployments - Experience with Ray, AI training and orchestration - Experience with relational and non-relational databases, data lakes e.g. PostgreSQL, Iceberg, Clickhouse, or similar - Experience with data exploration tools like Grafana, Superset, or similar - Good understanding of version control, testing, continuous integration, build, deployment and monitoring - Good understanding of statistics, machine learning algorithms and frameworks COMPENSATION AND BENEFITS: - $150,000 - $250,000 USD - Base salary is part of a total rewards package that includes equity, medical, vision, and dental coverage, 401(k) retirement plan, disability insurance, life insurance, and additional perks.

🏢 Summary: Software Engineer role focused on modernizing a mission-critical aviation platform by developing cloud-hosted backend services and scalable cloud-native solutions in AWS. The position involves backend modernization, Kubernetes and container management, CI/CD automation, and operational reliability improvements in a distributed engineering environment. The role offers hybrid work flexibility, B2B or UoP employment, and benefits including healthcare and life insurance. 🗂️ Requirements: Experience developing backend applications in cloud environments, Strong knowledge of AWS and cloud-native architectures, Hands-on experience with Linux, Hands-on experience with Docker, Hands-on experience with Apache, Hands-on experience with Java, Hands-on experience with Spring Boot, Experience with Kubernetes and containerized workloads, Experience with CI/CD, Experience with Infrastructure as Code, Experience with automation, Understanding of cloud security, Understanding of monitoring and production support practices, Strong troubleshooting and problem-solving skills, Ability to work independently and collaborate within distributed teams, English level B2 or higher 📃 Skills: AWS, Linux, Docker, Apache, Java, Spring, Kubernetes, CI/CD, IaC, Automation, SQL, MySQL, Security, Monitoring 🏢 Description: We are looking for a Software Engineer to join a team responsible for modernizing a mission-critical aviation platform used by tens of thousands of customers worldwide. You will help design, build, and evolve cloud-hosted backend services that support the distribution of aviation data across desktop, mobile, and aircraft-connected workflows. This is a unique opportunity to work on a high-impact product while contributing to a large-scale modernization initiative focused on cloud-native architecture, automation, scalability, security, and operational excellence. Working closely with cross-functional teams, you will help transform a well-established platform into a modern, resilient, and highly scalable ecosystem capable of supporting future growth and new product offerings. Key responsibilities Develop and modernize backend services hosted in AWS Design and implement scalable, resilient cloud-native solutions Build and improve APIs, integrations, and automated backend processes Enhance CI/CD pipelines, infrastructure automation, monitoring, and observability Manage and troubleshoot Kubernetes-based environments and containerized applications Support production systems and drive reliability, security, and operational improvements Collaborate with product, mobile, desktop, QA, and DevOps teams to deliver high-quality solutions Leverage AI-assisted development tools to improve engineering efficiency while maintaining high standards of quality and security Ideal candidate profile Experience developing backend applications in cloud environments Strong knowledge of AWS and cloud-native architectures Hands-on experience with Linux, Docker, Apache, Java and Spring Boot Experience with Kubernetes and containerized workloads Experience with CI/CD, Infrastructure as Code, and automation Understanding of cloud security, monitoring, and production support practices Strong troubleshooting and problem-solving skills Ability to work independently and collaborate within distributed teams English min. B2. Nice to Have: Experience modernizing legacy applications and services Experience with SQL Server and MySQL Experience building highly available and resilient production systems Experience using AI-assisted software development tools Conditions Employment type: B2B or UoP Location: Gdańsk Work model: 1 day a month in the office in Gdańsk or less frequently, depending on your availability Salary: 190 PLN net/h - to negotiate Benefits: life insurance, private healthcare, Multisport card

🏢 Summary: Senior Software Engineer I role focused on building and maintaining large-scale data platforms, pipelines, and AI-driven applications for measurement and reporting in the AdTech space. The position involves developing scalable batch and real-time data systems, backend services, and agentic AI solutions, with occasional frontend work. On-site presence is required four days per week in Manhattan or Denver. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, 5+ years of experience in data engineering or software engineering, Experience building large-scale data pipelines and distributed data processing systems, Proficiency in Python, Proficiency in SQL, Experience with modern data platforms (e.g., Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks), Strong knowledge of data modeling, data warehousing, and data lakes, Experience with relational and NoSQL databases, Experience with AWS, Azure, or Google Cloud, Experience building APIs and backend services, Familiarity with Generative AI, AI agents, RAG, and orchestration frameworks, Experience writing unit, integration, and end-to-end tests, Ability to work on-site 4 days per week in Manhattan or Denver 📃 Skills: Python, SQL, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks, MySQL, PostgreSQL, MongoDB, Redis, AWS, Azure, GCP, APIs, LLM, RAG, LangChain, LangGraph, CrewAI, AutoGen, Scala, PySpark, Docker, Kubernetes, React, TypeScript, CI/CD 🏢 Description: We require people to be on-site, 4 days/week at our Manhattan or Denver office and are unable to offer relocation support. The Opportunity We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and empower our sales and operations teams to identify opportunities and address shortcomings during campaign execution. You will primarily work on designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. In addition, you will contribute to the development of agentic AI applications that help automate workflows, enhance operational efficiency, and unlock new capabilities across the organization. You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences. If you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, we want to hear from you! Responsibilities - Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications. - Build and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies. - Design and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data. - Develop and maintain integrations between internal and external systems, ensuring efficient data movement and consistency across platforms. - Build and enhance agentic AI applications, leveraging LLMs, AI agents, orchestration frameworks, and automation workflows to solve business problems. - Collaborate with product, analytics, operations, and engineering teams to identify opportunities for AI-driven automation and intelligent decision-making. - Contribute to backend services and APIs that support data products, reporting applications, and AI-powered solutions. - Occasionally develop frontend features and dashboards to support internal and customer-facing applications. - Monitor, troubleshoot, and optimize data pipelines and AI systems for performance, reliability, scalability, and cost efficiency. - Implement data governance, quality checks, monitoring, and observability practices to ensure data integrity and operational excellence. - Conduct code reviews, provide constructive feedback, and promote engineering best practices across the team. - Mentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence. Requirements - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - 5+ years of experience in data engineering, software engineering, or a related technical role. - Strong experience building and maintaining large-scale data pipelines and distributed data processing systems. - Proficiency in Python and SQL, with experience developing production-grade data solutions. - Experience with modern data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies. - Strong understanding of data modeling, data warehousing, and data lake architectures. - Experience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis). - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience building APIs and backend services. - Familiarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration frameworks. - Demonstrated ability to stay current with AI tools and emerging technologies, with a strong aptitude for rapidly learning and adopting new frameworks. - Proficiency in writing and maintaining unit tests, integration tests, and end-to-end tests. - Ability to coordinate and work with contractors/consultants while owning the quality and delivery of assigned projects. Preferred - Familiarity with AdTech. - Experience with Scala/PySpark and distributed data processing frameworks. - Experience with Databricks and Delta Lake. - Experience building production AI applications using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies. - Familiarity with vector databases and semantic search technologies. - Experience with CI/CD pipelines and Infrastructure as Code. - Familiarity with containerization (Docker) and orchestration platforms (Kubernetes). - Exposure to frontend technologies such as React, TypeScript, or modern JavaScript frameworks. - Experience with observability, monitoring, and data quality tools. Compensation Range: $135K - $220K Additional Compensation Details: Tier 2 (all other U.S. Locations outside of Tier 1) Salary: $135K – $192.5K Bonus: Offers Bonus Tier 1 (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area) Salary: $154K – $220K Bonus: Offers Bonus

🏢 Summary: Opportunity to modernize a mission-critical aviation platform by designing and developing cloud-hosted backend services in a scalable, cloud-native AWS environment. The role focuses on building resilient APIs, improving automation and CI/CD pipelines, and managing Kubernetes-based infrastructure to support global aviation data distribution. You will contribute to a large-scale modernization initiative emphasizing scalability, security, and operational excellence. 🗂️ Requirements: Experience developing backend applications in cloud environments, Hands-on experience with Linux, Docker, Apache, and PHP or Java, Strong knowledge of AWS and cloud-native architectures, Experience with Kubernetes and containerized workloads, Experience with CI/CD and Infrastructure as Code, Understanding of cloud security, monitoring, and production support practices, Strong troubleshooting and problem-solving skills, English proficiency at minimum B2 level 📃 Skills: AWS, Linux, Docker, Apache, PHP, Java, Kubernetes, CI/CD, IaC, SQL, SQLServer, MySQL, AI 🏢 Description: We are looking for a Software Engineer to join a team responsible for modernizing a mission-critical aviation platform used by tens of thousands of customers worldwide. You will help design, build, and evolve cloud-hosted backend services that support the distribution of aviation data across desktop, mobile, and aircraft-connected workflows. This is a unique opportunity to work on a high-impact product while contributing to a large-scale modernization initiative focused on cloud-native architecture, automation, scalability, security, and operational excellence. Working closely with cross-functional teams, you will help transform a well-established platform into a modern, resilient, and highly scalable ecosystem capable of supporting future growth and new product offerings. Key responsibilities Develop and modernize backend services hosted in AWS Design and implement scalable, resilient cloud-native solutions Build and improve APIs, integrations, and automated backend processes Enhance CI/CD pipelines, infrastructure automation, monitoring, and observability Manage and troubleshoot Kubernetes-based environments and containerized applications Support production systems and drive reliability, security, and operational improvements Collaborate with product, mobile, desktop, QA, and DevOps teams to deliver high-quality solutions Leverage AI-assisted development tools to improve engineering efficiency while maintaining high standards of quality and security Ideal candidate profile Experience developing backend applications in cloud environments Hands-on experience with Linux, Docker, Apache, and PHP or Java Strong knowledge of AWS and cloud-native architectures Experience with Kubernetes and containerized workloads Experience with CI/CD, Infrastructure as Code, and automation Understanding of cloud security, monitoring, and production support practices Strong troubleshooting and problem-solving skills Ability to work independently and collaborate within distributed teams English min. B2. Nice to Have: Experience modernizing legacy applications and services Experience with SQL Server and MySQL Experience building highly available and resilient production systems Experience using AI-assisted software development tools Conditions Employment type: B2B or UoP Location: Gdańsk Work model: 1 day a week in the office in Gdańsk or less frequently, depending on your availability Salary: up to 190 PLN net/h Benefits: life insurance, private healthcare, Multisport card Recruitment steps Recruitment call with Agnieszka from KUBO Client interview (may require 2 rounds) Feedback and decision

🏢 Summary: The offer is for a Software Engineer to modernize and develop cloud-hosted backend services for a mission-critical aviation platform used globally. The role focuses on building scalable, resilient, cloud-native solutions in AWS, improving automation, CI/CD, and Kubernetes-based environments. You will contribute to transforming a legacy system into a modern, secure, and highly scalable ecosystem. 🗂️ Requirements: Experience developing backend applications in cloud environments, Hands-on experience with Linux, Docker, Apache, PHP, Strong knowledge of AWS and cloud-native architectures, Experience with Kubernetes and containerized workloads, Experience with CI/CD and Infrastructure as Code, Knowledge of cloud security and monitoring practices, Ability to troubleshoot production systems, English B2 level or higher 📃 Skills: AWS, Linux, Docker, Apache, PHP, Kubernetes, CI/CD, IaC, SQL, MySQL, SQLServer, AI 🏢 Description: We are looking for a Software Engineer to join a team responsible for modernizing a mission-critical aviation platform used by tens of thousands of customers worldwide. You will help design, build, and evolve cloud-hosted backend services that support the distribution of aviation data across desktop, mobile, and aircraft-connected workflows. This is a unique opportunity to work on a high-impact product while contributing to a large-scale modernization initiative focused on cloud-native architecture, automation, scalability, security, and operational excellence. Working closely with cross-functional teams, you will help transform a well-established platform into a modern, resilient, and highly scalable ecosystem capable of supporting future growth and new product offerings. Key responsibilities Develop and modernize backend services hosted in AWS Design and implement scalable, resilient cloud-native solutions Build and improve APIs, integrations, and automated backend processes Enhance CI/CD pipelines, infrastructure automation, monitoring, and observability Manage and troubleshoot Kubernetes-based environments and containerized applications Support production systems and drive reliability, security, and operational improvements Collaborate with product, mobile, desktop, QA, and DevOps teams to deliver high-quality solutions Leverage AI-assisted development tools to improve engineering efficiency while maintaining high standards of quality and security Ideal candidate profile Experience developing backend applications in cloud environments Hands-on experience with Linux, Docker, Apache, and PHP or Java Strong knowledge of AWS and cloud-native architectures Experience with Kubernetes and containerized workloads Experience with CI/CD, Infrastructure as Code, and automation Understanding of cloud security, monitoring, and production support practices Strong troubleshooting and problem-solving skills Ability to work independently and collaborate within distributed teams English min. B2. Nice to Have: Experience modernizing legacy applications and services Experience with SQL Server and MySQL Experience building highly available and resilient production systems Experience using AI-assisted software development tools Conditions Employment type: B2B or UoP Location: Gdańsk Work model: 1 day a week in the office in Gdańsk or less frequently, depending on your availability Salary: up to 190 PLN net/h Benefits: life insurance, private healthcare, Multisport card Recruitment steps Recruitment call with Agnieszka from KUBO Client interview (may require 2 rounds) Feedback and decision