Noctua Technology

Role Description The Data Engineering & AI/ML capability serves as the backbone of our organization's data-driven operations. We are seeking a talented and motivated Data Engineer to join our dynamic Data Engineering & Analytics team. As a key member of our engineering team, you will play a crucial role in: - Constructing and optimizing data pipelines - Implementing efficient storage solutions - Orchestrating the infrastructure necessary to support our customer’s data-driven initiatives Location: Primarily Remote. Candidates must be based in CA or DC Metro Area for proximity to project and client teams. Security Clearance Requirement: Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above. Qualifications - Solid understanding and experience with SQL and relational database concepts - Solid understanding of database technologies, data warehouses, and ETL tools (e.g., MySQL, PostgreSQL, Beam, Airflow, and Kafka) - Experience with data analysis tools (e.g., Jupyter, Colab, Pandas) - Experience with data visualization tools (e.g., Tableau, Looker, PowerBI, Qlik, and SuperSet) - Previous experience developing data strategies and facilitating data migrations into production systems - Experience with cloud platforms (e.g., AWS, Azure, GCP) - Proficiency in programming languages such as Python, Java, or C++ - Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code - Familiarity with version control systems (e.g., Git) and collaborative development workflows - Excellent problem-solving and critical-thinking skills - Effective communication skills and ability to work in a collaborative team environment Requirements - Experience with other database technologies (e.g., NoSQL, Graph) - Any of the below cloud certifications: - Google Cloud Professional Cloud Architect - Google Cloud Professional Database Engineer certification - Google Cloud Professional Data Engineer - Experience with additional data processing tools and technologies (e.g., Spark, Hadoop) - Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) Benefits - Salary Range: $102,850 - $170,000

Role Description The Data Engineering & AI/ML capability serves as the backbone of our organization's data-driven operations. We are seeking a talented and motivated Senior Data Engineer to join our dynamic Data Engineering team. As a key member of our engineering team, you will play a crucial role in: - Constructing and optimizing data pipelines - Implementing efficient storage solutions - Orchestrating the infrastructure necessary to support our customer’s data-driven initiatives - Leading engineering engagements by collaborating with cross-functional teams including customers, partners, and internal engineers Location: Primarily Remote. Candidates must be based in CA or DC Metro Area for proximity to project and client teams. Security Clearance Requirement: Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above. Key Responsibilities - Data Collection and Processing - Acquire, clean, and preprocess diverse datasets from various sources, establishing best practices and ensuring data quality standards. - Design and build required infrastructure for optimal extraction, transformation and loading of data from various data sources using CSP managed services and SQL technologies, focusing on scalability and cost efficiency. - Develop, maintain, and optimize mission-critical data pipelines to ensure a continuous flow of high-quality data, implementing robust monitoring and alerting. - Data Migrations & Optimization - Architect and develop data migration strategies and schemas to lead complex customer migrations from on-prem to cloud technologies. - Oversee and execute high-volume data migration activities, ensuring data integrity and minimal downtime. - Optimize databases and data warehouses for efficient querying and data storage, implementing advanced partitioning, indexing, and tuning techniques. - Data Analysis and Visualization - Perform exploratory data analysis to uncover patterns, trends, and insights, providing actionable recommendations to technical and business stakeholders. - Create visualizations and reports to communicate findings effectively to stakeholders both internally and externally, driving data-driven decision making. - Collaboration and Documentation - Collaborate with cross-functional teams, including software engineers, domain experts, and business analysts, to understand requirements and deliver integrated solutions, end-to-end data solutions. - Create and maintain comprehensive documentation for data architectures, code, algorithms, and models. Ensure that the knowledge is shared and accessible within the team. - Customer Engagement - Act on client feedback constructively to improve services and outcome, serving as a key technical contact for data-related discussions. - Continuously seek ways to enhance the overall customer experience, proactively identifying and addressing complex data challenges. - Continuous Learning and Innovation - Stay updated on the latest developments in cloud data services, machine learning, data science, and analytics. - Drive innovation by evaluating, proposing, and implementing cutting-edge techniques and technologies to address client challenges. Qualifications - Expert-level understanding and experience with SQL and relational database concepts - Deep understanding of database technologies, data warehouses, and ETL tools (e.g., MySQL, PostgreSQL, Beam, Airflow, and Kafka) - Proven track record of designing and implementing scalable data pipelines - Advanced experience with data analysis tools (e.g., Jupyter, Colab, Pandas) - Extensive experience with data visualization tools (e.g., Tableau, Looker, PowerBI, Qlik, and SuperSet) - Demonstrated experience developing comprehensive data strategies and facilitating data migrations into production systems - Expertise with cloud platforms (e.g., AWS, Azure, GCP) - Proficiency in programming languages such as Python, Java, or C++ - Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code - Experience with version control systems (e.g., Git) and collaborative development workflows - Exceptional problem-solving and critical-thinking skills - Effective communication skills and ability to work in a collaborative team environment Preferred Qualifications - Bachelor's or advanced degree in Computer Science, Data Science, Machine Learning, or a related field - Experience with other database technologies (e.g., NoSQL, Graph) - Any of the below cloud certifications: - Google Cloud Professional Cloud Architect - Google Cloud Professional Database Engineer certification - Google Cloud Professional Data Engineer - Experience with additional data processing tools and technologies (e.g., Spark, Hadoop) - Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) Salary Range $142,550 - $192,900

Role Description The Site Reliability Engineering discipline at Noctua Technology, LLC is a strategic force driving digital transformation. We treat operations as a software engineering challenge, focusing on the seamless integration, scalability, and long-term reliability of cloud native systems. Our SREs don’t just manage infrastructure; they build it using Infrastructure as Code (IaC), monitor it through advanced observability stacks, and protect it by engineering for failure. We work closely with clients to bridge the gap between development and operations. We are seeking a motivated Site Reliability Engineer (SRE) to join our dynamic team. As a key contributor, you will apply software engineering principles to operations, focusing on the reliability, scalability, and performance of production systems. You will play a crucial role in reducing toil through automation, defining and monitoring Service Level Objectives (SLOs), and implementing best practices for system stability and incident response. This role requires working with modern cloud technologies to ensure the high availability and efficiency of applications and infrastructure. Location: Primarily Remote. Candidates must be based in CA or DC Metro Area for proximity to project and client teams. Security Clearance Requirement: Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above. Key Responsibilities - Site Reliability Engineering - Define, measure, and report on Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to ensure system reliability and uptime. - Develop and deploy Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools, with an emphasis on repeatability and change management. - Implement and manage containerized and serverless architectures using Docker, Kubernetes, and cloud-native services, focusing on performance and error budgets. - Build and maintain reliable and self-healing CI/CD pipelines to automate deployments and improve development workflows. - Toil Reduction and Incident Management - Implement and refine comprehensive monitoring, alerting, and logging to detect and address performance and availability issues proactively. - Eliminate toil by extensively automating operational tasks, including provisioning, patching, and deployments, using scripting and configuration management tools such as Python, Bash, or Ansible. - Conduct post-incident reviews (blameless postmortems) to drive continuous improvement in system reliability and operational processes. - Testing and Service Resiliency - Implement cloud security best practices, including identity and access management (IAM), encryption, and compliance controls. - Proactively identify and address system weaknesses and ensure performance under stress. - Support disaster recovery and high availability strategies through backup and failover planning. - Collaboration and Knowledge Sharing - Collaborate with development teams to improve the operability and production readiness of applications from design through deployment. - Create and maintain documentation for cloud architectures, deployment processes, and best practices. - Contribute to internal knowledge-sharing initiatives, ensuring continuous learning within the team. - Stakeholder Communication - Provide technical guidance and support to clients and internal teams on cloud infrastructure and reliability best practices, with a focus on defining Service Level Agreements (SLAs). - Act on client feedback to refine and enhance cloud solutions. - Conduct training and knowledge-sharing sessions to help clients manage their cloud environments effectively. - Continuous Learning and Innovation - Stay updated on the latest developments in cloud infrastructure and technology trends. - Drive innovation by proposing and implementing new techniques and technologies. Qualifications - 1-5 years of experience in site reliability engineering, cloud engineering, or related fields. - Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code, specifically for automation and system management. - Proficiency in Infrastructure as Code (IaC) tools like Terraform or CloudFormation. - Experience with containerization and orchestration tools like Docker and Kubernetes. - Knowledge of networking concepts, cloud security best practices, and identity management. - Experience with programming or scripting languages such as Python, Bash, or Go. - Familiarity with CI/CD pipelines and DevOps methodologies. - Strong problem-solving skills and the ability to troubleshoot complex cloud environments. - Effective communication skills and a willingness to learn and collaborate. Preferred Qualifications - Bachelor's or advanced degree in Computer Science or a related field. - Any of the below cloud certifications: - Google Cloud Professional Cloud Architect - Google Cloud Professional Cloud DevOps Engineer - AWS Certified Solutions Architect - AWS Certified Developer - AWS Certified SysOps Administrator - Azure Solutions Architect Expert - CompTIA Security+ certification or an equivalent DoD 8140/8570 IAT Level II baseline certification. Salary Range $106,500 - $177,500

Role Description The Site Reliability Engineering discipline at Noctua Technology, LLC is a strategic force driving digital transformation. We treat operations as a software engineering challenge, focusing on the seamless integration, scalability, and long-term reliability of cloud native systems. Our SREs don’t just manage infrastructure; they build it using Infrastructure as Code (IaC), monitor it through advanced observability stacks, and protect it by engineering for failure. We work closely with clients to bridge the gap between development and operations. We are seeking a highly experienced and autonomous Senior Site Reliability Engineer (SRE) to join our dynamic team. As a technical leader, you will: - Define the strategy and apply advanced software engineering principles to operations. - Focus on the architecture, reliability, and long-term performance of large-scale production systems. - Play a crucial role in reducing toil through automation. - Define and monitor Service Level Objectives (SLOs). - Implement best practices for system stability and incident response. This role requires working with modern cloud technologies to ensure the high availability and efficiency of applications and infrastructure. Location: Primarily Remote. Candidates must be based in CA or DC Metro Area for proximity to project and client teams. Security Clearance Requirement: Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above. Qualifications - 5+ years of experience in site reliability engineering, cloud engineering, or related fields. - Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code, specifically for automation and system management. - Deep experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation. - Deep experience with containerization and orchestration tools like Docker and Kubernetes. - Deep knowledge of networking concepts, cloud security best practices, and identity management. - Experience with programming or scripting languages such as Python, Bash, or Go. - Experience with CI/CD pipelines and DevOps methodologies. - Strong problem-solving skills and the ability to troubleshoot complex cloud environments. - Demonstrated ability to influence technical decision-making across organizational boundaries. Preferred qualifications: - Bachelor's or advanced degree in Computer Science or a related field. - Any of the below cloud certifications: - Google Cloud Professional Cloud Architect - Google Cloud Professional Cloud DevOps Engineer - AWS Certified Solutions Architect - AWS Certified Developer - AWS Certified SysOps Administrator - CompTIA Security+ certification or an equivalent DoD 8140/8570 IAT Level II baseline certification. Requirements - Drive the definition and adoption of SLIs and SLOs across multiple services or entire platforms, ensuring alignment with business goals. - Design and architect Infrastructure as Code (IaC) solutions for large-scale, complex environments, establishing standards and best practices. - Implement and manage containerized and serverless architectures using Docker, Kubernetes, and cloud-native services, focusing on performance and error budgets. - Build and maintain reliable and self-healing CI/CD pipelines to automate deployments and improve development workflows. - Implement and refine comprehensive monitoring, alerting, and logging to detect and address performance and availability issues proactively. - Lead the strategic effort to eliminate toil, identifying and championing major automation projects that deliver significant organizational efficiency. - Lead high-severity incident response and coordinate blameless postmortems for major outages, driving the resulting remediation and systemic improvements. - Implement cloud security best practices, including identity and access management (IAM), encryption, and compliance controls. - Proactively identify and address system weaknesses and ensure performance under stress. - Support disaster recovery and high availability strategies through backup and failover planning. - Serve as a primary SRE liaison for development teams, influencing application architecture and design to meet reliability and scalability targets from inception. - Create and maintain documentation for cloud architectures, deployment processes, and best practices. - Contribute to internal knowledge-sharing initiatives, ensuring continuous learning within the team. - Act as a subject matter expert and trusted advisor to clients and internal leadership on cloud infrastructure, reliability strategy, and Service Level Agreement (SLA) negotiations. - Act on client feedback to refine and enhance cloud solutions. - Conduct training and knowledge-sharing sessions to help clients manage their cloud environments effectively. - Stay updated on the latest developments in cloud infrastructure and technology trends. - Drive innovation by proposing and implementing new techniques and technologies. Benefits - Salary Range: $149,400 - $202,000

Role Description We are seeking a Senior Software Architect to serve as a technical linchpin for our most complex cloud-native and hybrid projects. In this role, you will bridge the gap between high-level architectural vision and hands-on engineering excellence. You will lead the design and implementation of Google Cloud Platform (GCP) and Google Distributed Cloud (GDC) environments, air-gapped infrastructure, and mission-critical landing zones. Location: Primarily Remote. Candidates must be based in CA or DC Metro Area for proximity to project and client teams. Security Clearance Requirement: Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above. Qualifications - Active Secret (or higher) Clearance - 10+ years of experience in Software Engineering, Cloud Architecture, and/or DevOps/SRE roles. - Proven track record of building complex, modular infrastructure at scale. - Expert-level Kubernetes experience, including service mesh and advanced networking. - Strong proficiency in Python or Go, with the ability to build production-grade applications and automation tools. - Experience leading technical workstreams or serving as a Team Lead on large projects. - Preferred qualifications: - Bachelor's or advanced degree in Computer Science or a related field. - Experience authoring or contributing to ATO packages and system security documentation. - Experience with Zero Trust architectures and hardware security. - Prior consulting or public sector experience strongly preferred. - One or more of the following certifications: - Google Cloud Professional Cloud Architect - Google Cloud Professional Cloud DevOps Engineer - Google Cloud Professional Cloud Network Engineer - AWS Certified Solutions Architect - Azure Solutions Architect Expert - Certified Kubernetes Administrator Requirements - Lead the architectural design of scalable cloud solutions, ensuring alignment with long-term mission goals and security requirements. - Define reference architectures for cloud landing zones, establishing comprehensive blueprints for secure, scalable, and cost-optimized cloud environments across major providers. - Optimize technical architectures for mission-critical applications and their supporting cloud environments, focusing on performance, scalability, and cost-efficiency. - Implement SRE best practices, building advanced observability stacks and automating incident response. - Lead the development of custom tooling and reusable accelerators to automate complex operational workflows. - Design for resilience - engineer self-healing systems and disaster recovery protocols for disconnected or air-gapped environments. - Act as a subject matter expert (SME) for client discussions on cloud strategy, architecture, cost optimization, security, and compliance. - Support pre-sales technical solutioning and contribute to statements of work (SOWs), level-of-effort estimates, and architecture proposals. - Lead or support Authority to Operate (ATO) efforts by producing documentation, providing security input, and interfacing with client security teams. - Proactively identify areas for improvement and innovation in cloud operations and service delivery. - Create and maintain architecture artifacts, operations playbooks, and reusable accelerators for internal and external use. - Share expertise through internal knowledge transfers, training sessions, and documentation. - Mentor and grow junior and mid-level engineers through code reviews, architectural whiteboard, and technical workshops. Benefits - Salary Range: $167,100 - $226,000