Softblues

Business

Digital marketing agency that specializes in enhancing the digital presence and growth of automotive dealerships nationwide. Initially, they focused on supporting their service teams through automation tools and have since expanded to develop and sell white-label, productized services to their partners. Their mission is to deliver high-quality tools that meet the needs of their partners, leveraging their expertise in digital marketing to drive significant improvements and efficiencies in the automotive sector. The agency places a strong emphasis on building scalable, functional tools and fostering team growth through continuous improvement and collaboration.
 

Requirements

Client seeking a skilled Data Engineer with experience in architecting scalable data solutions using Amazon Web Services (AWS). This role will focus on building and maintaining data infrastructure to support our customer-facing tools, ensuring data is efficiently stored, processed, and available for analytics.

Overlap with EST is required
 

Key Responsibilities:

• Data Architecture Design: Architect, develop, and maintain scalable and robust data architectures using AWS services such as Amazon S3, RDS, Redshift, and EMR.
• ETL Processes: Design and implement ETL processes using AWS Glue, ensuring data is clean, reliable, and available for analysis.
• Data Pipeline Management: Develop and manage data pipelines using tools like Amazon Kinesis and AWS Lambda for real-time and batch processing.
• Database Management: Optimize databases using Amazon RDS and Redshift, ensuring data integrity, security, and performance.
• Data Lake Management: Utilize Amazon S3 for building and managing data lakes to store structured and unstructured data.
• Collaboration: Work closely with software engineers, data scientists, and product managers to ensure data solutions meet business requirements.
• Security and Compliance: Implement security best practices and ensure compliance with industry standards and regulations.
• Monitoring and Optimization: Implement monitoring tools and strategies to optimize the performance of data systems.
  
   

Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: Minimum of 5 years in data engineering roles with experience in AWS services. Proven track record in building scalable data architectures.
• Technical Skills: Proficiency in AWS tools (e.g., S3, RDS, Redshift, Glue), data processing frameworks (e.g., Apache Spark, Hadoop), and programming languages (e.g., Python, SQL).
• Analytical Skills: Strong problem-solving abilities and a data-driven mindset. Experience with performance tuning and data optimization.
• Communication Skills: Excellent verbal and written communication skills. Ability to collaborate effectively with cross-functional teams.
• Attention to Detail: High attention to detail and a commitment to delivering high-quality solutions.

Additional requirements

• Certifications: AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect, or similar certifications.
• Domain Knowledge: Experience in the automotive industry or digital marketing sector.

Additional Skills: Familiarity with machine learning models and integration with customer-facing applications.

Drones kill and injure over 5,000 Ukrainians every month. Munin exists to stop that. We are building hand-launched micro-missiles to intercept small drones at short range. Small enough to carry three in a vest and cheap enough for wide use, this will be the smallest, most cost-effective guided missile ever deployed.

We work from a test site in Oslo, UK and in Kyiv, directly with Ukrainian brigades. Our goal is to turn the tide of war and give NATO a proven soldier-level counter-drone solution.

We are hiring a Computer Vision Engineer to join our founding team.

You will lead the design and development of the missile’s electronics system, from ideas to field tests and production. You will own the architecture, guide component selection, and drive integration while staying hands-on through bring-up, testing, and iteration.

Responsibilities

• Design system architecture and lead electronics development

• Select and integrate sensors, processors, power systems, and actuators

• Design PCBs

• Develop test plans for live environments and build test rigs

• Collaborate with mechanical and software engineers to ensure reliable, testable systems

Requirements

• Experience with embedded or mechatronic system design

• Strong PCB design and debugging skills

• Skilled in sensor integration and power management

• Able to balance high-level design with hands-on execution

• Willing to work from Oslo, UK or Kyiv

Bonus

• Aerospace or computer vision experience
• Knowledge of control systems or autonomy
• FPGA programming experience
   

Why Munin

• Impact: Build tech that saves lives

• Ownership: Lead seeker development for a new missile category

• Team: Join a mission-driven group from Stanford, Imperial, Rheinmetall, and special forces

• Benefits: Salary, 0–3% equity, housing, travel, and training support

This is not a research role. We are flying real hardware fast. If you are ready to build something that matters, apply.

We are looking for a motivated QA Engineer to join our dynamic team, focusing on web and AI-driven projects. This role is ideal for someone early in their career who is passionate about ensuring software development and has an interest in growing into a more advanced BA role in the future.

You will collaborate with developers, product managers, to test innovative web and AI applications, identify defects, and ensure an exceptional user experience.

Responsibilities

• Perform manual testing of web and AI applications to identify bugs, defects, and usability issues.
• Create, execute, and maintain test cases and test scenarios based on project requirements.
• Document and report defects with clear steps to reproduce, using bug-tracking tools (e.g., Jira).
• Collaborate with the development team to verify fixes and ensure issues are resolved.
• Participate in requirement analysis and provide feedback to improve product quality.
• Assist in regression, functional, and exploratory testing activities, including testing AI model outputs and web interfaces.

• Contribute to the continuous improvement of QA processes and methodologies, with an eye toward future automation opportunities.

   

Requirements

• +3 year of experience in software testing or a related field (internships or personal projects are a plus).
• Basic understanding of software testing principles, methodologies, and the software development lifecycle (SDLC).
• Familiarity with bug-tracking tools (e.g., Jira, Trello) and test management tools (e.g., TestRail).
• Interest in web and AI technologies, with exposure to testing web applications (e.g., REST APIs, browser-based interfaces) and AI-driven features (e.g., chatbots, recommendation systems).
• Knowledge of relevant tech stack: JavaScript, Python (for testing AI components), Postman (for API testing), and browser developer tools (e.g., Chrome DevTools).
• Strong attention to detail and problem-solving skills, with a proactive mindset for learning and growth in the QA field.
• Good communication skills to collaborate effectively with cross-functional teams working on web and AI solutions.
• Upper-intermediate English proficiency (written and verbal).
• (Optional) Basic knowledge of automation tools (e.g., Selenium, Cypress) or scripting languages (e.g., Python, JavaScript) is a plus.
• A strong desire to develop and advance in the QA direction, with potential interest in automation, performance testing, or AI-specific testing in the future.

Description:

General InformationWe are seeking 1-2 experienced Cyber Security Experts to support investor and risk management teams operating in the UK, US, Japan, and South Korea. The ideal candidate will be based in Japan or South Korea, fluent in Japanese or Korean, and capable of working directly with senior-level clients and internal teams.This is a full-time position, but we are also open to part-time or hourly engagements. Candidates must be available to work with at least 4–6 hours of overlap with Japan or Korea business hours (preferably full coverage).

You’ll be joining a global cyber-security delivery team, collaborating closely with internal stakeholders and external clients.

Key Responsibilities

• Conduct cyber maturity assessments using NIST Cybersecurity Framework.
• Use internal cyber questionnaire tools to evaluate client security posture.Support identity and access management (IAM) initiatives.
• Work with senior-level clients across investor and risk management teams.
• Contribute to internal reporting systems such as timesheets, HR portals, etc.
• Collaborate with local junior cyber resources in Japan and Korea; provide senior-level guidance.
• Deliver hands-on, broad-spectrum cyber expertise ("Jack of all trades" mindset).
• Interface with internal delivery teams and provide updates to management.

Requirements

• 5+ years in Cyber Security, preferably with experience in financial services or risk management.
• Strong working knowledge of the NIST Cybersecurity Framework.
• Proven experience with identity and access management (IAM).
• Comfortable engaging with executive and senior client stakeholders.
• Ability to work independently and remotely.
• Prior experience with cybersecurity assessments, risk tools, and evaluation processes.
• Availability for 4-8 hours overlap with Japan/Korea time zones.
• Fluent in Japanese or Korean (local candidates strongly preferred).

Detailed Required Skills:

• IT Security
• Enterprise Cybersecurity
• Customer Identity and Access Management (CIAM)
• Japanese
• NIST
• Cybersecurity Operations
• Cybersecurity Maturity Model Certification (CMMC)

A senior AI engineer who builds AI applications on Google Cloud using Gemini models. They should have deployed real projects to production (not just experiments), understand Google's AI tools, and be able to work with enterprise clients.

• 5+ years Python software engineering overall
• 2+ years working with AI/ML
• Experience building and deploying AI apps with Gemini on Google Cloud: 1–2 production projects with specific examples (e.g., chatbots or automations); experiments without deployment are insufficient.
• Familiarity with Google ADK (Agent Development Kit): Hands-on building or studying agents, including multi-agent systems or Google Cloud integrations.
• Work with Vertex AI Search and RAG systems on Google Cloud: Built search or Retrieval-Augmented Generation solutions, describable in detail (e.g., vector DB integration, semantic search optimization).
• Recent Google Cloud AI project: Latest work using Gemini 2.5 (or similar) within the last 6–12 months;