Role Description Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a Database Developer to support KITS and our government customer. The position is remote and requires the candidate to be able to obtain a Public Trust. The Database Developer will play a critical role in designing, building, and maintaining data systems to support business needs. The ideal candidate will have a strong background in: - Data architecture - Data modeling - Data warehousing - Data manipulation and transformation This role will focus on: - Data modeling - Building and optimizing data engineering pipelines - Implementing CI/CD practices - Developing serverless functions across AWS and Azure environments Qualifications - Bachelor’s degree in computer science, Data Development, Information Technology, or a related field - 7+ years of experience in data engineering, data architecture, or similar technical roles - Demonstrated expertise in database systems, data warehousing, and ETL processes - 6+ years as a Python programming language expert Requirements - ETL/ELT Processes: Building data pipelines using stored procedures, views, and Python scripts; knowledge of tools like dbt or Airflow is a plus - Data Quality & Testing: Implementing checks, validation, and monitoring for pipelines - Version Control & Collaboration: Git for code (Python + SQL scripts), plus experience with CI/CD basics - Performance & Scalability: Tuning for large volumes, understanding indexing/partitioning impacts, and basic cloud database concepts - Soft Skills: Problem-solving for debugging complex queries/pipelines, clear documentation of models and procedures, and ability to collaborate with team members - Data Modeling: Strong experience in designing relational schemas, ER modeling, dimensional modeling, and understanding trade-offs between normalization vs. denormalization - Advanced SQL & Database Querying: Mastery of complex queries, query optimization, and advanced techniques - Database Administration & Objects: Creating and managing stored procedures, optimizing views, and other DBA tasks - Python Programming for Data Engineering: Proficiency in Python for scripting, automation, and data manipulation - Relational Database Experience: Hands-on work with at least one major RDBMS (e.g., SQL Server, PostgreSQL, MySQL) - Other Key Skills: Excellent problem-solving and analytical abilities, strong communication and collaboration skills Benefits - Competitive compensation - Extraordinary benefits package including health, dental, and vision insurance - 401K with company matching - Flexible spending accounts - Paid holidays - Three weeks paid time off - And more Company Description Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services, and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward-leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com .

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production. Role Summary: We’re looking for an AI Engineer for our holding company, Miroma, to support the workflows and the development of AI for our group of agencies. This role will work closely with the innovation team to deliver scalable AI solutions. Role:  - Design, build, test, and deploy production-grade AI solutions using Python, TypeScript/JavaScript, and cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. - Take complete ownership of AI use cases, from initial technical design and architecture through to deployment, monitoring, and iteration. Translate ambiguous business needs into robust and scalable technical systems. - Engineer complex integrations with a diverse ecosystem of modern APIs, including leading AI models, cloud data platforms, and enterprise SaaS applications across departments like Marketing, HR, Legal, and Finance. - Identify and abstract common patterns to build robust, reusable components and engines. Your work will establish a foundation that accelerates future development and scales our impact across the organization. - Provide critical production support by rapidly troubleshooting, debugging, and resolving integration issues and system failures to ensure high availability and performance. You: - At least 3+ years of professional experience in a full-stack development role with a verifiable portfolio of shipped projects. - Strong, hands-on proficiency in both Python and TypeScript/JavaScript. - Experience with a major cloud provider (AWS, Azure, GCP). Hands-on experience with Google Cloud Platform (GCP), particularly serverless components like Cloud Functions and Firestore, is strongly preferred. - Experience integrating a variety of third-party REST and/or GraphQL APIs, including expertise in handling complex authentication flows and data transformation. - Experience with LLM API integrations (e.g., Gemini, OpenAI, Anthropic). This must include practical application of prompt engineering, function/tool calling, and parsing complex model responses. - A track record of delivering complete solutions with a high degree of autonomy and minimal supervision. - A mindset of quality ownership, demonstrated by writing clean, maintainable, and production-ready code. Candidates must have proven experience defining and implementing their own unit and integration tests. - Familiarity with workflow automation tools is preferred. Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email.  If you do not receive an email from Maker Lab, your application has been unsuccessful this time around. Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application. Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production. Role Summary: We’re looking for an AI Engineer for our holding company, Miroma, to support the workflows and the development of AI for our group of agencies. This role will work closely with the innovation team to deliver scalable AI solutions. Role:  - Design, build, test, and deploy production-grade AI solutions using Python, TypeScript/JavaScript, and cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. - Take complete ownership of AI use cases, from initial technical design and architecture through to deployment, monitoring, and iteration. Translate ambiguous business needs into robust and scalable technical systems. - Engineer complex integrations with a diverse ecosystem of modern APIs, including leading AI models, cloud data platforms, and enterprise SaaS applications across departments like Marketing, HR, Legal, and Finance. - Identify and abstract common patterns to build robust, reusable components and engines. Your work will establish a foundation that accelerates future development and scales our impact across the organization. - Provide critical production support by rapidly troubleshooting, debugging, and resolving integration issues and system failures to ensure high availability and performance. You: - At least 3+ years of professional experience in a full-stack development role with a verifiable portfolio of shipped projects. - Strong, hands-on proficiency in both Python and TypeScript/JavaScript. - Experience with a major cloud provider (AWS, Azure, GCP). Hands-on experience with Google Cloud Platform (GCP), particularly serverless components like Cloud Functions and Firestore, is strongly preferred. - Experience integrating a variety of third-party REST and/or GraphQL APIs, including expertise in handling complex authentication flows and data transformation. - Experience with LLM API integrations (e.g., Gemini, OpenAI, Anthropic). This must include practical application of prompt engineering, function/tool calling, and parsing complex model responses. - A track record of delivering complete solutions with a high degree of autonomy and minimal supervision. - A mindset of quality ownership, demonstrated by writing clean, maintainable, and production-ready code. Candidates must have proven experience defining and implementing their own unit and integration tests. - Familiarity with workflow automation tools is preferred. Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email.  If you do not receive an email from Maker Lab, your application has been unsuccessful this time around. Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application. Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production. Role Summary: We’re looking for an AI Engineer for our holding company, Miroma, to support the workflows and the development of AI for our group of agencies. This role will work closely with the innovation team to deliver scalable AI solutions. Role:  - Design, build, test, and deploy production-grade AI solutions using Python, TypeScript/JavaScript, and cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. - Take complete ownership of AI use cases, from initial technical design and architecture through to deployment, monitoring, and iteration. Translate ambiguous business needs into robust and scalable technical systems. - Engineer complex integrations with a diverse ecosystem of modern APIs, including leading AI models, cloud data platforms, and enterprise SaaS applications across departments like Marketing, HR, Legal, and Finance. - Identify and abstract common patterns to build robust, reusable components and engines. Your work will establish a foundation that accelerates future development and scales our impact across the organization. - Provide critical production support by rapidly troubleshooting, debugging, and resolving integration issues and system failures to ensure high availability and performance. You: - At least 3+ years of professional experience in a full-stack development role with a verifiable portfolio of shipped projects. - Strong, hands-on proficiency in both Python and TypeScript/JavaScript. - Experience with a major cloud provider (AWS, Azure, GCP). Hands-on experience with Google Cloud Platform (GCP), particularly serverless components like Cloud Functions and Firestore, is strongly preferred. - Experience integrating a variety of third-party REST and/or GraphQL APIs, including expertise in handling complex authentication flows and data transformation. - Experience with LLM API integrations (e.g., Gemini, OpenAI, Anthropic). This must include practical application of prompt engineering, function/tool calling, and parsing complex model responses. - A track record of delivering complete solutions with a high degree of autonomy and minimal supervision. - A mindset of quality ownership, demonstrated by writing clean, maintainable, and production-ready code. Candidates must have proven experience defining and implementing their own unit and integration tests. - Familiarity with workflow automation tools is preferred. Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email.  If you do not receive an email from Maker Lab, your application has been unsuccessful this time around. Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application. Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.