As an AI Application Engineer at Rearc, you'll contribute to the technical excellence of our machine learning and artificial intelligence capabilities. Your expertise in Machine Learning, AI application development, and LLMOps will help design and deploy intelligent systems that are efficient, reliable, and production-ready. You'll work closely with cross-functional teams to build and operationalize GenAI solutions, pushing the boundaries of what AI is capable of in customer environments. Building strong partnerships with technical teams & stakeholders and aligning with business objectives will be essential as you support AI-driven initiatives and contribute to their successful execution. What You Bring 2+ years of experience in AI engineering, machine learning (ML), or related fields, bringing valuable expertise in building and deploying intelligent systems. Generative AI (GenAI expertise) Strong understanding of state of the art techniques in generative AI, including large language models (LLMs), text generation and other foundation models Familiarity with AI orchestration tools (e.g. LangGraph, CrewAI, Bedrock Agents, smolagents, etc) Experience in fine-tuning, prompt engineering or otherwise adapting generative models for specific use cases Experience with AI model evaluation, including human-in-the-loop and LLM judge paradigms Familiarity with NLP libraries and frameworks Knowledge Base & Tool Integration Hands-on experience in implementing Retrieval Augmented Generation (RAG) architectures and integrating retrieval systems with generative models Knowledge of at least one vector store or database (e.g. Opensearch, Pinecone, PostgreSQL with pgvector) and techniques for similarity search Familiarity with common data ingestion/ETL patterns for populating knowledge bases Experience with implementing LLM tool calling (either directly, via an orchestration framework, or using Model Context Protocol (MCP) clients) Amazon Bedrock Or Databricks AI Experience Experience using Amazon Bedrock or Databricks Mosaic AI for deploying and managing generative AI models Ability to integrate Generative AI scripts with other services (such as AWS S3 or Lambda or Databricks Apps) to build scalable and secure AI solutions Software & Tools Proficiency Strong programming skills in Python (or similar languages) Familiarity with CI/CD pipelines and MLOps practices to ensure seamless integration, testing and deployment of AI models Nice-to-Haves Experience with containerization and orchestration for deploying AI services Understanding of cloud security best practices and cloud architecture design in the context of AI workloads Experience writing MCP servers Experience training or fine-tuning ML models (classical ML or LLMs/diffusion models) What You'll Do Collaborate with Colleagues – Work closely with colleagues to understand customers' business objectives and technical challenges, contributing to the design and development of effective GenAI solutions tailored to client needs. Apply GenAI Principles – Utilize modern tools and frameworks like LangGraph, to build scalable, reliable, and maintainable Compound AI systems. Leverage your understanding of AI fundamentals to ensure every project meets rigorous industry and ethical standards. Adapt to the latest Technologies & Patterns – continue to research, learn, and stay abreast of the most recent state of the art for AI application development. Promote Knowledge Sharing –Bolster our culture of continuous learning by sharing knowledge about AI engineering best practices through blog posts, articles, and internal talks. Support a collaborative environment that fosters shared expertise and ongoing innovation across our community. About Rearc At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place! Our approach is simple — empower engineers with the best tools possible to make an impact within their industry. We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on-keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing. Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers. Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together! Your first few weeks at Rearc will be spent in an immersive learning environment where our team will help you get up to speed. Within the first few months, you’ll have the opportunity to experiment with a lot of different tools as you find your place on the team. Rearc is committed to a diverse and inclusive workplace. Rearc is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Show more Show less

About Rearc Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers. Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together! As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and maintaining technical excellence within our data engineering team. Your deep expertise in data architecture, ETL processes, and data modelling will be instrumental in optimizing data workflows for efficiency, scalability, and reliability. You'll collaborate closely with cross-functional teams to design and implement robust data solutions that meet business objectives and adhere to best practices in data management. Building strong partnerships with both technical teams and stakeholders will be essential as you drive data-driven initiatives and ensure their successful implementation. What You Bring With 10+ years of experience in data engineering, data architecture, or related fields, you offer a wealth of expertise in managing and optimizing data pipelines and architectures. Extensive experience in writing and testing Java and/or Python Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue. Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask. Proficiency with Spark and Databricks is highly desirable. You have a proven track record of leading complex data engineering projects, including designing and implementing scalable data solutions. Your hands-on experience with ETL processes, data warehousing, and data modeling tools allows you to deliver efficient and robust data pipelines. You possess in-depth knowledge of data integration tools and best practices. Your strong understanding of cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery). You bring strong strategic and analytical skills to the role, enabling you to solve intricate data challenges and drive data-driven decision-making. Proven proficiency in implementing and optimizing data pipelines using modern tools and frameworks, including Databricks for data processing and Delta Lake for managing large-scale data lakes. Your exceptional communication and interpersonal skills facilitate collaboration with cross-functional teams and effective stakeholder engagement at all levels. What You’ll Do As a Lead Data Engineer at Rearc, your role is pivotal in driving the success of our data engineering initiatives. You will lead by example, fostering trust and accountability within your team while leveraging your technical expertise to optimize data processes and deliver exceptional data solutions. Here's what you'll be doing: Understand Requirements and Challenges : Collaborate with stakeholders to deeply understand their data requirements and challenges, enabling the development of robust data solutions tailored to the needs of our clients. Implement with a DataOps Mindset : Embrace a DataOps mindset and utilize modern data engineering tools and frameworks, such as Apache Airflow, Apache Spark, or similar, to build scalable and efficient data pipelines and architectures. Lead Data Engineering Projects : Take the lead in managing and executing data engineering projects, providing technical guidance and oversight to ensure successful project delivery. Mentor Data Engineers : Share your extensive knowledge and experience in data engineering with junior team members, guiding and mentoring them to foster their growth and development in the field. Promote Knowledge Sharing : Contribute to our knowledge base by writing technical blogs and articles, promoting best practices in data engineering, and contributing to a culture of continuous learning and innovation. At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place! Our approach is simple — empower engineers with the best tools possible to make an impact within their industry. We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on-keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing.

At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place! Our approach is simple — empower engineers with the best tools possible to make an impact within their industry. We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing. As a Senior Data Engineer at Rearc, you will be at the forefront of driving technical excellence within our data engineering team. Your expertise in data architecture, cloud-native solutions, and modern data processing frameworks will be essential in designing workflows that are optimized for efficiency, scalability, and reliability. You'll leverage tools like Databricks, PySpark, and Delta Lake to deliver cutting-edge data solutions that align with business objectives. Collaborating with cross-functional teams, you will design and implement scalable architectures while adhering to best practices in data management and governance . Building strong relationships with both technical teams and stakeholders will be crucial as you lead data-driven initiatives and ensure their seamless execution. What You Bring 8+ years of experience in data engineering, showcasing expertise in diverse architectures, technology stacks, and use cases. Strong expertise in designing and implementing data warehouse and data lake architectures, particularly in AWS environments. Extensive experience with Python for data engineering tasks, including familiarity with libraries and frameworks commonly used in Python-based data engineering workflows. Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue. Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask. Proficiency with Spark and Databricks is highly desirable. Experience with SQL and NoSQL databases, including PostgreSQL, Amazon Redshift, Delta Lake, Iceberg and DynamoDB. In-depth knowledge of data architecture principles and best practices, especially in cloud environments. Proven experience with AWS services, including expertise in using AWS CLI, SDK, and Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or AWS CDK. Exceptional communication skills, capable of clearly articulating complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to quickly adapt to new tasks and roles in a dynamic environment. What You'll Do Strategic Data Engineering Leadership : Provide strategic vision and technical leadership in data engineering, guiding the development and execution of advanced data strategies that align with business objectives. Architect Data Solutions : Design and architect complex data pipelines and scalable architectures, leveraging advanced tools and frameworks (e.g., Apache Kafka, Kubernetes) to ensure optimal performance and reliability. Drive Innovation : Lead the exploration and adoption of new technologies and methodologies in data engineering, driving innovation and continuous improvement across data processes. Technical Expertise : Apply deep expertise in ETL processes, data modelling, and data warehousing to optimize data workflows and ensure data integrity and quality. Collaboration and Mentorship : Collaborate closely with cross-functional teams to understand requirements and deliver impactful data solutions—mentor and coach junior team members, fostering their growth and development in data engineering practices. Thought Leadership : Contribute to thought leadership in the data engineering domain through technical articles, conference presentations, and participation in industry forums. Some More About Us Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers. Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together!

At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place! Our approach is simple — empower engineers with the best tools possible to make an impact within their industry. We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing. As a Senior Data Engineer at Rearc, you will be at the forefront of driving technical excellence within our data engineering team. Your expertise in data architecture, cloud-native solutions, and modern data processing frameworks will be essential in designing workflows that are optimized for efficiency, scalability, and reliability. You'll leverage tools like Databricks, PySpark, and Delta Lake to deliver cutting-edge data solutions that align with business objectives. Collaborating with cross-functional teams, you will design and implement scalable architectures while adhering to best practices in data management and governance . Building strong relationships with both technical teams and stakeholders will be crucial as you lead data-driven initiatives and ensure their seamless execution. What You Bring 8+ years of experience in data engineering, showcasing expertise in diverse architectures, technology stacks, and use cases. Strong expertise in designing and implementing data warehouse and data lake architectures, particularly in AWS environments. Extensive experience with Python for data engineering tasks, including familiarity with libraries and frameworks commonly used in Python-based data engineering workflows. Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue. Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask. Proficiency with Spark and Databricks is highly desirable. Experience with SQL and NoSQL databases, including PostgreSQL, Amazon Redshift, Delta Lake, Iceberg and DynamoDB. In-depth knowledge of data architecture principles and best practices, especially in cloud environments. Proven experience with AWS services, including expertise in using AWS CLI, SDK, and Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or AWS CDK. Exceptional communication skills, capable of clearly articulating complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to quickly adapt to new tasks and roles in a dynamic environment. What You'll Do Strategic Data Engineering Leadership: Provide strategic vision and technical leadership in data engineering, guiding the development and execution of advanced data strategies that align with business objectives. Architect Data Solutions: Design and architect complex data pipelines and scalable architectures, leveraging advanced tools and frameworks (e.g., Apache Kafka, Kubernetes) to ensure optimal performance and reliability. Drive Innovation: Lead the exploration and adoption of new technologies and methodologies in data engineering, driving innovation and continuous improvement across data processes. Technical Expertise: Apply deep expertise in ETL processes, data modelling, and data warehousing to optimize data workflows and ensure data integrity and quality. Collaboration and Mentorship: Collaborate closely with cross-functional teams to understand requirements and deliver impactful data solutions—mentor and coach junior team members, fostering their growth and development in data engineering practices. Thought Leadership: Contribute to thought leadership in the data engineering domain through technical articles, conference presentations, and participation in industry forums. Some More About Us Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers. Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together! Show more Show less

About Rearc At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place! Our approach is simple — empower engineers with the best tools possible to make an impact within their industry. We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on-keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing. Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers. Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together! Cloud Engineers at Rearc are visionaries, driving progress towards limitless possibilities in the cloud, they have experience using cloud best practices and contributing to teams to build and maintain cloud infrastructure and automation pipelines. They work on engagements with our customers’ teams to improve developer experience, their security position, and the overall cloud infrastructure. What You Bring 2+ years of hands-on experience in cloud services (AWS, GCP, or Azure), this includes experience with compute, storage, networking, and security services using CLI, SDK, or IAC. 2+ years experience in Python or JavaScript, with a preference for software development background including object-oriented design and test-driven development. Experience with Terraform, CloudFormation, or AWS CDK for building cloud infrastructure. Track record in implementing and maintaining CI/CD pipelines using tools like CodePipeline, Jenkins, GitLab CI, or GitHub Actions. Familiarity with Kubernetes or Amazon ECS for container orchestration. Strong communication and collaboration skills for effective teamwork. What You'll Do Assess customers’ existing infrastructure and provide guidance on enhancing their cloud setup, security posture, automation, and developer experience. Develop and maintain CI/CD pipelines to deploy applications to cloud infrastructure, ensuring adherence to security and best practices. Utilize infrastructure-as-code tools to automate the deployment of immutable infrastructure, enhancing efficiency and reliability. Stay updated with industry trends and best practices through continuous learning activities. Share insights and expertise with Rearc engineers, customer teams, and the wider community to foster collaboration and knowledge exchange.

About Rearc Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers. Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together! As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and maintaining technical excellence within our data engineering team. Your deep expertise in data architecture, ETL processes, and data modelling will be instrumental in optimizing data workflows for efficiency, scalability, and reliability. You'll collaborate closely with cross-functional teams to design and implement robust data solutions that meet business objectives and adhere to best practices in data management. Building strong partnerships with both technical teams and stakeholders will be essential as you drive data-driven initiatives and ensure their successful implementation. What You Bring With 10+ years of experience in data engineering, data architecture, or related fields, you offer a wealth of expertise in managing and optimizing data pipelines and architectures. Extensive experience in writing and testing Java and/or Python Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue. Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask. Proficiency with Spark and Databricks is highly desirable. You have a proven track record of leading complex data engineering projects, including designing and implementing scalable data solutions. Your hands-on experience with ETL processes, data warehousing, and data modeling tools allows you to deliver efficient and robust data pipelines. You possess in-depth knowledge of data integration tools and best practices. Your strong understanding of cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery). You bring strong strategic and analytical skills to the role, enabling you to solve intricate data challenges and drive data-driven decision-making. Proven proficiency in implementing and optimizing data pipelines using modern tools and frameworks, including Databricks for data processing and Delta Lake for managing large-scale data lakes. Your exceptional communication and interpersonal skills facilitate collaboration with cross-functional teams and effective stakeholder engagement at all levels. What You’ll Do As a Lead Data Engineer at Rearc, your role is pivotal in driving the success of our data engineering initiatives. You will lead by example, fostering trust and accountability within your team while leveraging your technical expertise to optimize data processes and deliver exceptional data solutions. Here's what you'll be doing: Understand Requirements and Challenges: Collaborate with stakeholders to deeply understand their data requirements and challenges, enabling the development of robust data solutions tailored to the needs of our clients. Implement with a DataOps Mindset: Embrace a DataOps mindset and utilize modern data engineering tools and frameworks, such as Apache Airflow, Apache Spark, or similar, to build scalable and efficient data pipelines and architectures. Lead Data Engineering Projects: Take the lead in managing and executing data engineering projects, providing technical guidance and oversight to ensure successful project delivery. Mentor Data Engineers: Share your extensive knowledge and experience in data engineering with junior team members, guiding and mentoring them to foster their growth and development in the field. Promote Knowledge Sharing: Contribute to our knowledge base by writing technical blogs and articles, promoting best practices in data engineering, and contributing to a culture of continuous learning and innovation. At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place! Our approach is simple — empower engineers with the best tools possible to make an impact within their industry. We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on-keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing.

About Rearc At Rearc, we empower engineers to build incredible products and experiences. We believe in challenging the status quo and fostering a culture of ownership, innovation, and impact. Since our founding in 2016, we’ve built a team of problem-solvers who thrive in collaborative environments and value the freedom to think creatively. If you're a cloud professional who wants to make a difference, grow your career, and work on impactful projects in a supportive and innovative culture, we’d love to hear from you. What Makes Rearc Special? Engineering-Driven Culture: We prioritize technical excellence and invest in our engineers through certifications, courses, and professional development. Work-Life Balance: No micromanagement, no on-call requirements, and a supportive, down-to-earth team. Cutting-Edge Technology: Work on high-impact projects using modern cloud tools and services Career Growth: A structured path to help you achieve your professional goals in a fast-growing company. Collaborative Environment: Be part of a global team solving complex challenges in regulated enterprise environments. As a Senior Cloud Engineer at Rearc, you will play a key role in designing and building modern, cloud-native platforms that are reliable, scalable, and secure. This is a hands-on role that requires a deep understanding of cloud technologies, particularly AWS, and the ability to implement solutions in highly regulated enterprise environments. You’ll work closely with our engineering team and customers to solve complex challenges while maintaining a strong focus on scalability, security, and best practices. Your creativity and problem-solving skills will be instrumental in delivering real impact, and your passion for innovation will thrive in our engineering-first, collaborative culture. What You Bring 5+ years of hands-on cloud engineering experience (AWS preferred; GCP or Azure as a bonus), including expertise in compute, storage, networking, and security services. Strong knowledge of AWS CDK, IAM, and S3. Proficiency in Kubernetes and containerization tools such as Docker or Amazon ECS. Familiarity with cloud-native architectures and experience implementing infrastructure-as-code using tools like Terraform, CloudFormation, or AWS CDK. Solid programming skills in a high-level language such as Python or JavaScript. Experience building CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or CodePipeline. Bonus: Knowledge of data engineering tools such as Snowflake, Databricks, or Glue, and experience with large-scale data ingestion pipelines. A proactive attitude with a passion for continuous learning and innovation. Strong communication skills and a collaborative, team-oriented mindset. What You'll Do Lead the design and implementation of cloud-native platforms, focusing on reliability, scalability, and security. Evaluate customers’ existing infrastructure and provide recommendations for improving their cloud architecture, security posture, and developer experience. Develop and manage CI/CD pipelines, ensuring secure and efficient deployment of applications to cloud environments. Utilize infrastructure-as-code tools to automate the deployment of robust and immutable infrastructure. Stay current with emerging technologies and best practices in cloud engineering, sharing insights and knowledge with your team and the broader engineering community. Collaborate with cross-functional teams to deliver innovative solutions that solve real-world problems.

About Rearc At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place! Our approach is simple — empower engineers with the best tools possible to make an impact within their industry. We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on-keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing. Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers. Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together! Cloud Engineers at Rearc are visionaries, driving progress towards limitless possibilities in the cloud, they have experience using cloud best practices and contributing to teams to build and maintain cloud infrastructure and automation pipelines. They work on engagements with our customers’ teams to improve developer experience, their security position, and the overall cloud infrastructure. What You Bring 2+ years of hands-on experience in cloud services (AWS, GCP, or Azure), this includes experience with compute, storage, networking, and security services using CLI, SDK, or IAC. 2+ years experience in Python or JavaScript, with a preference for software development background including object-oriented design and test-driven development. Experience with Terraform, CloudFormation, or AWS CDK for building cloud infrastructure. Track record in implementing and maintaining CI/CD pipelines using tools like CodePipeline, Jenkins, GitLab CI, or GitHub Actions. Familiarity with Kubernetes or Amazon ECS for container orchestration. Strong communication and collaboration skills for effective teamwork. What You'll Do Assess customers’ existing infrastructure and provide guidance on enhancing their cloud setup, security posture, automation, and developer experience. Develop and maintain CI/CD pipelines to deploy applications to cloud infrastructure, ensuring adherence to security and best practices. Utilize infrastructure-as-code tools to automate the deployment of immutable infrastructure, enhancing efficiency and reliability. Stay updated with industry trends and best practices through continuous learning activities. Share insights and expertise with Rearc engineers, customer teams, and the wider community to foster collaboration and knowledge exchange.

{"company":" About Rearc At Rearc, were committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our peoples ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If youre an engineer driven by the desire to solve problems and make a difference, youre in the right place! Our approach is simple empower engineers with the best tools possible to make an impact within their industry. Were on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on-keyboard leaders who dont just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing. Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. Were not just a company; were a community of problem-solvers dedicated to improving the lives of fellow software engineers. Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If youre a cloud professional intrigued by our problem space and eager to make a difference, youve come to the right place. Join us, and lets solve problems together! ","role":" As a Lead Cloud Engineer at Rearc, youll be responsible for fostering trust and accountability within your team. Your highly technical mindset will enable you to optimize processes for efficiency, scalability, and sustainability across various domains such as computing, storage, networking, security services, and cloud-native best practices. Building and maintaining successful relationships with both engineering teams and customers will be crucial in this role. Your energy and passion for driving results will be evident as you lead initiatives and make things happen. Youll thrive in an environment that encourages individual creativity while maintaining a high level of organization and accountability. What You Bring With 10+ years of experience in cloud infrastructure management, DevOps, or related fields, you offer a wealth of expertise in this domain. A Bachelor s degree in Computer Science, Information Technology, or a related field is preferred, complementing your practical experience. You have hands-on experience leading projects to build infrastructure on cloud platforms. Your extensive experience with infrastructure automation tools and best practices enables you to streamline processes and enhance efficiency. You possess in-depth knowledge of containerization and orchestration tools. Your strong understanding of networking and security concepts and best practices ensures the integrity and resilience of cloud environments. You bring strong strategic and analytical skills to the table, enabling you to tackle complex challenges and drive informed decision-making. Your excellent communication and interpersonal skills facilitate effective collaboration and relationship-building with stakeholders at all levels. What Youll Do As a Lead Cloud Engineer at Rearc, your role is pivotal in driving the success of our engineering endeavors. You will lead by example, fostering trust and accountability within your team while leveraging your technical expertise to optimize processes and deliver exceptional solutions. Heres what youll be doing Understand Requirements and Challenges : Collaborate with clients to deeply understand their requirements and challenges, enabling the development of high-quality enterprise solutions tailored to the needs of Fortune 100 customers. Implement with a GitOps Mindset : Embrace a GitOps mindset and utilize Infrastructure as Code (IaC) tooling, along with languages like Python, Go, Java, or other codified technologies, to build robust and scalable solutions. Lead Project Teams : Take the helm in leading project teams, providing both technical guidance and delivery oversight to ensure the successful completion of initiatives. Mentor Junior Engineers : Share your wealth of knowledge and experience with junior engineers, guiding and mentoring them as they grow in their roles and careers. Promote Knowledge Sharing : Contribute to our vibrant community by writing blogs and knowledge-sharing articles, promoting your personal brand and fostering a culture of continuous learning and improvement. "},"

{"company":" About Rearc At Rearc, we empower engineers to build incredible products and experiences. We believe in challenging the status quo and fostering a culture of ownership, innovation, and impact. Since our founding in 2016, we ve built a team of problem-solvers who thrive in collaborative environments and value the freedom to think creatively. If youre a cloud professional who wants to make a difference, grow your career, and work on impactful projects in a supportive and innovative culture, we d love to hear from you. What Makes Rearc Special? Engineering-Driven Culture : We prioritize technical excellence and invest in our engineers through certifications, courses, and professional development. Work-Life Balance : No micromanagement, no on-call requirements, and a supportive, down-to-earth team. Cutting-Edge Technology : Work on high-impact projects using modern cloud tools and services Career Growth : A structured path to help you achieve your professional goals in a fast-growing company. Collaborative Environment : Be part of a global team solving complex challenges in regulated enterprise environments . ","role":" As a Senior Cloud Engineer at Rearc, you will play a key role in designing and building modern, cloud-native platforms that are reliable, scalable, and secure. This is a hands-on role that requires a deep understanding of cloud technologies, particularly AWS, and the ability to implement solutions in highly regulated enterprise environments. You ll work closely with our engineering team and customers to solve complex challenges while maintaining a strong focus on scalability, security, and best practices. Your creativity and problem-solving skills will be instrumental in delivering real impact, and your passion for innovation will thrive in our engineering-first, collaborative culture. What You Bring 5+ years of hands-on cloud engineering experience (AWS preferred; GCP or Azure as a bonus), including expertise in compute, storage, networking, and security services . Strong knowledge of AWS CDK , IAM , and S3 . Proficiency in Kubernetes and containerization tools such as Docker or Amazon ECS. Familiarity with cloud-native architectures and experience implementing infrastructure-as-code using tools like Terraform , CloudFormation , or AWS CDK. Solid programming skills in a high-level language such as Python or JavaScript . Experience building CI/CD pipelines using tools such as GitHub Actions , GitLab CI , or CodePipeline . Bonus: Knowledge of data engineering tools such as Snowflake , Databricks , or Glue , and experience with large-scale data ingestion pipelines . A proactive attitude with a passion for continuous learning and innovation. Strong communication skills and a collaborative, team-oriented mindset. What Youll Do Lead the design and implementation of cloud-native platforms , focusing on reliability, scalability, and security. Evaluate customers existing infrastructure and provide recommendations for improving their cloud architecture, security posture , and developer experience . Develop and manage CI/CD pipelines , ensuring secure and efficient deployment of applications to cloud environments. Utilize infrastructure-as-code tools to automate the deployment of robust and immutable infrastructure. Stay current with emerging technologies and best practices in cloud engineering, sharing insights and knowledge with your team and the broader engineering community. Collaborate with cross-functional teams to deliver innovative solutions that solve real-world problems. "},"

{"company":" About Rearc At Rearc, were committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our peoples ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If youre an engineer driven by the desire to solve problems and make a difference, youre in the right place! Our approach is simple empower engineers with the best tools possible to make an impact within their industry. Were on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on-keyboard leaders who dont just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing. Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. Were not just a company; were a community of problem-solvers dedicated to improving the lives of fellow software engineers. Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If youre a cloud professional intrigued by our problem space and eager to make a difference, youve come to the right place. Join us, and lets solve problems together! ","role":" About the role As a Data Engineer at Rearc, youll contribute to the technical excellence of our data engineering team. Your expertise in data architecture, ETL processes, and data modeling will help optimize data workflows for efficiency, scalability, and reliability. Youll work closely with cross-functional teams to design and implement robust data solutions that meet business objectives and adhere to best practices in data management. Building strong partnerships with technical teams and stakeholders will be essential as you support data-driven initiatives and contribute to their successful implementation. What youll do Collaborate with Colleagues : Work closely with colleagues to understand customers data requirements and challenges, contributing to the development of robust data solutions tailored to client needs. Apply DataOps Principles : Embrace a DataOps mindset and utilize modern data engineering tools and frameworks like Apache Airflow, Apache Spark, or similar, to create scalable and efficient data pipelines and architectures. Support Data Engineering Projects : Assist in managing and executing data engineering projects, providing technical support and contributing to project success. Promote Knowledge Sharing : Contribute to our knowledge base through technical blogs and articles, advocating for best practices in data engineering, and fostering a culture of continuous learning and innovation. Were looking for: 2+ years of experience in data engineering, data architecture, or related fields, bringing valuable expertise in managing and optimizing data pipelines and architectures. Solid track record of contributing to complex data engineering projects, including assisting in the design and implementation of scalable data solutions. Hands-on experience with ETL processes, data warehousing, and data modelling tools, enabling the support and delivery of efficient and robust data pipelines. Good understanding of data integration tools and best practices, facilitating seamless data flow across systems. Familiarity with cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery) ensuring effective utilization of cloud resources for data processing and analytics. Strong analytical skills to address data challenges and support data-driven decision-making. Proficiency in implementing and optimizing data pipelines using modern tools and frameworks. Strong communication and interpersonal skills enabling effective collaboration with cross-functional teams and stakeholder engagement. Your first few weeks at Rearc will be spent in an immersive learning environment where our team will help you get up to speed. Within the first few months, you ll have the opportunity to experiment with a lot of different tools as you find your place on the team. Rearc is committed to a diverse and inclusive workplace. Rearc is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. "},"

{"company":" About Rearc At Rearc, were committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our peoples ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If youre an engineer driven by the desire to solve problems and make a difference, youre in the right place! Our approach is simple empower engineers with the best tools possible to make an impact within their industry. ","role":" Role Overview Rearc is looking for a Cybersecurity Threat Detection Engineer with proactive communication skills, a foundation in DevSecOps, Detection-As-Code, deep purple team technical expertise, and an entrepreneurial approach to join our growing Cybersecurity practice. This role involves partnering with Rearc customers to design cutting-edge detection strategies and support the development of top-tier, modern cybersecurity monitoring programs. You will craft tailored security detections to strengthen our clients cybersecurity efforts by leveraging Security Information and Event Management (SIEM), Security Orchestration Automation and Response (SOAR), Endpoint Detection and Response (EDR), and Network Detection and Response (NDR) services. What You Bring Enthusiasm about developing and evangelising Utilise services in the cyber space. Strong cloud, security, SIEM and data engineering fundamentals. evangelising What Youll Do Utilise optimise NDR, EDR, real-time streaming, and SIEM technologies to develop robust threat detection capabilities. Build and optimise detection rules leveraging real-time data streaming to enhance detection accuracy. Design enrichment pipelines and automation workflows to enhance the precision of threat detections. Develop correlation logic and automated processes to create high-fidelity threat alerts. Maintain availability, compliance, and recoverability of customer Data Analytics solutions, including SOPs, data onboarding, normalization, enrichment, and system maintenance. Create and maintain playbooks for incident triage and response. Align detection content with customer-specific Use Case Frameworks and provide metrics on cybersecurity threats impacting their environment. Collaborate with the customer s Enterprise Cybersecurity DART team to enhance Security Orchestration, Automation, and Response (SOAR) functionality. Support and create dashboards for Enterprise Cybersecurity, Information Technology (IT), and Operational Technology (OT) teams. Stay continually aware of emerging cybersecurity threats and trends, adapting detection strategies as needed. Work closely with customer teams, including Cybersecurity Operations Center (CSOC), Operational Technology (OT), and Incident Response (IR) teams, to ensure detections are actionable and relevant. Provide feedback to improve the customers Use Case Framework and overall security monitoring strategy. In this role, you will combine technical expertise with continual situational awareness of emerging threats, driving client success while staying at the cutting edge of cyber security innovations. Qualifications 6+ years of experience in Cybersecurity with a focus on: Log streaming Cybersecurity data lakes and data warehousing SOAR engineering SIEM engineering, administration, architecture, and operations Data science, statistical analysis, and threat detection development Integrating disparate IT, OT, and business applications into SIEM systems Bachelors degree in Management Information Systems, Computer Science, or a related field A strong passion for Cybersecurity and a commitment to staying current with industry trends, best practices, and tools Proven experience in documenting, socializing, and operationalizing Cybersecurity technologies and processes Prior programming experience in Python, Golang, or PowerShell Solid understanding of common attack techniques and their practical applications Demonstrated ability to work effectively across multiple teams, building cross-functional relationships with individuals of varying technical expertise A self-starter with a proven ability to thrive in fast-paced environments Strong technical communication skills , both written and verbal Some More About Us At Rearc, our mission is straightforward - empower engineers with the best tools possible to make an impact within their industry. Founded in 2016 by engineers instrumental in The Wall Street Journals transformation to a cloud-native architecture, we recognize that engineers are the driving force behind digital transformation and cloud adoption efforts. We pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. Were not just a company; were a community of problem-solvers dedicated to improving the lives of fellow software engineers. Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If youre a cloud professional intrigued by our problem space and eager to make a difference, youve come to the right place. Join us, and lets solve problems together! "},"

At Rearc, the commitment is to empower engineers to build outstanding products and experiences. Your success as a business relies on your ability to think freely, challenge conventions, and propose alternative problem-solving approaches. If you are driven by the desire to solve problems and make a difference, this is the right place for you. The approach at Rearc is straightforward - empower engineers with the best tools to have an impact within their industry. Engineers who excel in ownership and freedom, showcasing technical prowess and exceptional leadership skills are sought after. Ideal candidates are hands-on leaders who not only talk the talk but also walk the walk, creating solutions that push the boundaries of cloud computing. Founded in 2016, Rearc prides itself on fostering a creative environment, free from bureaucracy, where individuals are encouraged to challenge conventions. It's not just a company; it's a community of problem-solvers dedicated to enhancing the lives of fellow software engineers. As a Lead Cloud Engineer at Rearc, your role involves fostering trust and accountability within your team. Your highly technical mindset enables you to optimize processes for efficiency, scalability, and sustainability across various domains. Building and maintaining successful relationships with engineering teams and customers are crucial. Your energy and passion for driving results will be evident as you lead initiatives and make things happen. You will thrive in an environment that promotes individual creativity while upholding a high level of organization and accountability. Your extensive experience in cloud infrastructure management, DevOps, or related fields, with over 10 years of experience, brings a wealth of expertise. A Bachelor's degree in Computer Science, Information Technology, or a related field is preferred. Hands-on experience in leading projects to build infrastructure on cloud platforms and expertise in infrastructure automation tools are essential. In-depth knowledge of containerization, orchestration tools, networking, and security concepts are required. Strong strategic and analytical skills, excellent communication, and interpersonal skills are crucial for effective collaboration. As a Lead Cloud Engineer, you will collaborate with clients to understand their requirements deeply, implement solutions with a GitOps mindset, lead project teams, mentor junior engineers, and promote knowledge sharing within the community through blogs and articles. Join Rearc and let's solve problems together!,