Software Engineer
Role details
Job location
Tech stack
Job description
- Design and develop cloud-native, AI-integrated microservices and full-stack applications
- Integrate AI/ML capabilities into geospatial applications using enterprise AI platforms and LLM APIs
- Contribute to autonomous features for data quality validation, spatial analysis, and workflow automation
- Build serverless services and RESTful APIs for geospatial data
- Apply security guardrails, multi-tenant isolation, and compliance measures to AI-powered features
- Adopt AI-assisted software development practices, including AI-augmented code review and intelligent DevOps
- Integrate enterprise GIS platforms and spatial data processing capabilities
- Contribute to CI/CD pipelines using infrastructure-as-code principles
- Participate in code reviews and help establish engineering best practices, In-Office or Remote 185K-327K Annually Senior level 185K-327K Annually Senior level Blockchain * eCommerce * Fintech * Payments * Software * Financial Services * Cryptocurrency Build and operate high-throughput ledger, balance, settlement, and treasury systems. Design durable ledgering APIs, ensure data contracts, run reliable distributed transaction processing, meet SLOs, debug production, use AI tooling, lead projects, and mentor engineers. Top Skills: AmpAuroraAWSClaudeCodexDatabricksDatadogGoGooseGraphQLJavaJooqKotlinKubernetesMcpMySQLProtocol BuffersPythonSnowflakeSQLTemporalTerraformVitess Block
Senior Software Engineer
12 Hours Ago In-Office or Remote CA, USA 185K-327K Annually Senior level 185K-327K Annually Senior level Blockchain * eCommerce * Fintech * Payments * Software * Financial Services * Cryptocurrency Design, build, and operate distributed ledger, transaction, settlement, and treasury systems. Develop durable ledgering APIs, emit trusted data for finance, maintain high-reliability services to SLOs, lead complex cross-team projects, mentor engineers, and integrate AI tooling across the development lifecycle. Top Skills: AmpAuroraAWSClaudeCodexDatabricksDatadogGoGooseGraphQLJavaJooqKotlinKubernetesMcpMySQLProtocol BuffersPythonSnowflakeSQLTemporalTerraformVitess Cash App
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent professional experience)
- 3+ years of full-stack web application development experience
- Proficiency in modern frontend frameworks (React, Angular, or Vue) and TypeScript/JavaScript
- Backend development experience in Node.js, Python, or a comparable language
- Hands-on experience with at least one cloud platform (AWS, Azure, or GCP)
- Experience designing and consuming RESTful APIs
- Working knowledge of microservices and serverless concepts
- Familiarity with relational databases and SQL
- Comfort with version control, collaborative development, and agile methodologies
Preferred
- Exposure to enterprise GIS technologies (Esri ArcGIS, MapLibre, Mapbox, PostGIS) or other spatial data
- Experience building AI-powered features, agentic workflows, or LLM integrations
- Familiarity with prompt engineering and AI development frameworks
- Cloud certifications (Solutions Architect, Developer, or DevOps)
- Experience with containerization (Docker) and orchestration
- Understanding of indoor mapping standards or public safety GIS workflows
- Awareness of SOC 2 and/or FedRAMP compliance requirements
- Experience with test automation and test-driven development
- Experience with AI-assisted development tools (Claude Code, Copilot, Cursor, or similar)
Benefits & conditions
Lead design and development of cloud-native geospatial applications with integrated AI, build AI-native microservices and serverless APIs, implement CI/CD and IaC, integrate enterprise GIS and spatial databases, drive autonomous spatial data workflows, mentor engineers, and ensure security, multi-tenant isolation, and production reliability for mission-critical public safety systems. The summary above was generated by AI
DATAMARK Practice
DATAMARK Technologies is a technology division of Michael Baker International dedicated to building mission-critical geospatial and public safety solutions that operate where reliability is non-negotiable. The division designs and delivers cloud-native geospatial platforms that integrate advanced AI and machine learning capabilities into spatial data workflows - powering applications that sit inside live public safety call flows and enterprise operating environments where accuracy and uptime directly impact outcomes.
DATAMARK Technologies serves public safety agencies and enterprise clients across the United States, providing intelligent geospatial solutions built on modern, autonomous, and scalable architectures. The team combines deep domain expertise in spatial data engineering with a forward-leaning approach to AI-driven automation, enabling clients to move faster, operate smarter, and make better decisions from their geospatial data. DATAMARK Technologies represents Michael Baker International's commitment to technology innovation at the intersection of geography, intelligence, and public safety., The approximate compensation range for this position is $130,000 to $149,600. This compensation range is a good faith estimate for the position at the time of posting. Actual compensation is dependent upon factors such as education, qualifications, experience, skillset, and physical work location.
Why Choose Us
- Medical, dental, vision insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Flexible Spending Account (FSA)
- Life, AD&D, short-term, and long-term disability
- Professional and personal development
- Generous paid time off
- Commuter and wellness benefits, 185K-327K Annually Senior level 185K-327K Annually Senior level Blockchain * Fintech * Mobile * Payments * Software * Financial Services Design, build, and operate high-throughput, fault-tolerant ledger and settlement systems of record. Develop durable ledgering APIs, settlement orchestration, and treasury automation. Ensure data contract integrity for downstream finance, run production systems to SLOs, debug multi-layer issues, lead and mentor engineers, and use AI tooling to reduce operational toil. Top Skills: AmpAuroraAWSClaudeCodexDatabricksDatadogGoGooseGraphQLJavaJooqKotlinKubernetesMcpMySQLProtocol BuffersPythonSnowflakeSQLTemporalTerraformVitess
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