Senior Software Engineer I & II Platform, AI Enablement

Frontline Education; Deutschland; Vor Ort; EUR 81.826 - 129.199; Vollzeit

Benefits dieser Stelle

Annual bonuses

401(k) with company match

Comprehensive medical, dental, and vision coverage

Zusammenfassung

Frontline Education is seeking Senior Software Engineers I & II to join their AI Enablement Platform team. This role involves designing and building state-of-the-art AI services to support educators and administrators.

The ideal candidates will possess deep knowledge in cloud-native systems and AI technologies, driving innovation while ensuring security and governance standards. You'll be working remotely and contributing to shaping the future of AI at Frontline.

Qualifikationen

• 5+ years of professional software engineering experience.
• Experience with cloud-native distributed systems.
• Strong understanding of API design and operational telemetry.

Aufgaben

• Design, build, test, deploy, and support shared AI platform capabilities.
• Develop orchestration services and reusable APIs for AI integration.
• Collaborate with cross-functional teams throughout the development lifecycle.

Kenntnisse

Cloud-native distributed systems

Asynchronous workflows

API design

Observability

Security concepts

Governance principles

AI orchestration

CI/CD pipelines

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Kafka

Docker

AWS (Lambda, EC2, S3)

Jobbeschreibung

Senior Software Engineer I & II Platform, AI Enablement

Location: Remote, USA

About the Role

At Frontline Education, our mission is to transform how schools work so every educator and student succeeds. Our vision is for every school thriving and every community stronger.

We're hiring for multiple roles as either a Senior Software Engineer I or Senior Software Engineer II to join our AI Enablement Platform Engineering team.

The AI Enablement team builds and evolves the foundational capabilities that allow product and platform teams across Frontline to safely, responsibly, and efficiently adopt AI and agentic technologies. Our platform services provide reusable infrastructure, governance controls, orchestration frameworks, observability tooling, and operational capabilities that help teams deliver AI-powered experiences with confidence.

As a Senior Software Engineer, you will help shape the future of AI at Frontline. You'll contribute beyond implementation by influencing technical decisions, improving engineering practices, strengthening operational governance, and creating scalable platform capabilities that accelerate innovation while protecting customer trust. Your work will directly support educators and administrators by enabling teams to build AI-powered solutions that are reliable, explainable, secure, and outcome-focused.

How You'll Drive Success

• Design, build, test, deploy, and support shared AI platform capabilities and operational AI services.
• Develop orchestration services, integration layers, reusable APIs, workflow infrastructure, and platform services that accelerate AI adoption across Frontline.
• Build platform capabilities supporting provider abstraction, governance controls, telemetry, observability, explainability, auditing, and policy enforcement.
• Design and support distributed and asynchronous workflows leveraging event-driven architectures and messaging technologies such as Kafka.
• Contribute to operational AI workflow patterns including orchestration, retrieval workflows, tool integration, asynchronous execution models, and agentic workflows.
• Support modernization and evolution of AI platform capabilities as technologies, governance requirements, and business needs mature.
• Contribute to monitoring, resiliency, incident response, troubleshooting, governance enforcement, and platform reliability initiatives.
• Partner with downstream engineering teams to simplify AI adoption and reduce integration complexity.

Responsible AI & Governance

• Help build safe, governed, and trustworthy AI platform capabilities that support enterprise operational requirements.
• Contribute to solutions that improve observability, explainability, auditing, telemetry, access controls, and responsible AI practices.
• Partner with Security, Data Platform, Architecture, and Product Engineering teams to ensure platform capabilities align with organizational governance standards.
• Help teams balance innovation, operational maturity, customer value, and risk management.
• Support the development of reusable governance patterns that make responsible AI adoption easier across Frontline's ecosystem.

Technical Design & Collaboration

• Participate in discovery, refinement, and design discussions to evaluate requirements, identify tradeoffs, and shape practical AI platform solutions.
• Collaborate closely with Product Managers, QA Engineers, Security teams, Data Platform teams, Architects, Technical Leads, and Engineering Managers throughout the development lifecycle.
• Contribute to architectural discussions while aligning solutions to platform standards, governance expectations, and long-term engineering objectives.
• Communicate technical concepts, implementation approaches, operational considerations, governance implications, and platform adoption strategies effectively to both technical and non-technical audiences.
• Build strong partnerships across geographically distributed and cross-functional teams.

Engineering Excellence

• Develop secure, scalable, maintainable, and high-performing platform solutions.
• Contribute to automated testing strategies including unit, integration, workflow, operational, and evaluation testing.
• Participate in code reviews and provide thoughtful technical feedback that improves engineering quality and consistency.
• Support CI/CD automation and continuous delivery practices.
• Contribute to improvements in observability, governance, resiliency, explainability, scalability, and developer productivity.
• Promote reusable engineering approaches, platform consistency, and sustainable development practices.
• Mentor fellow engineers and contribute to a culture of ownership, collaboration, and continuous learning.

AI-First Engineering

• Leverage modern AI-assisted development tools such as GitHub Copilot, Claude Code, OpenAI Codex, and emerging technologies to accelerate development, testing, troubleshooting, documentation, workflow development, and solution exploration.
• Apply strong engineering judgment when evaluating and validating AI-generated outputs.
• Use AI to improve productivity while maintaining high standards for governance, security, maintainability, scalability, explainability, and operational integrity.
• Champion responsible and effective AI adoption across engineering workflows.
• Help establish patterns that enable teams to confidently use AI while maintaining trust, reliability, and customer focus.

What You Bring to Help Us Grow

These roles can be filled at either a Senior Software Engineer I or Senior Software Engineer II. Placement will be determined based on experience, technical depth, scope of influence, and demonstrated impact.

Senior Software Engineer I

• Bachelor's degree in Computer Science or a related field, or equivalent professional experience.
• 5+ years of professional software engineering or platform engineering experience.
• Experience designing and building cloud-native distributed systems.
• Strong understanding of distributed systems, asynchronous workflows, API design, observability, operational telemetry, security concepts, and governance principles.
• Experience building scalable platform capabilities that enable engineering teams to deliver solutions efficiently and reliably.
• Familiarity with AI orchestration, workflow execution, integration patterns, and operational AI concepts.
• Ability to independently design and deliver complex platform capabilities with high levels of quality, reliability, maintainability, and operational excellence.
• Experience participating in technical design discussions and evaluating implementation tradeoffs.
• Strong understanding of testing, scalability, governance, and software quality practices.
• Experience mentoring engineers and contributing to engineering best practices.
• Experience leveraging AI-assisted development tools to improve engineering productivity while applying sound judgment and validation practices.

Senior Software Engineer II

• Bachelor's degree in Computer Science or a related field, or equivalent professional experience.
• 8+ years of professional software engineering or platform engineering experience.
• Deep expertise designing, building, and evolving large-scale cloud-native platform capabilities that support AI, orchestration, governance, and distributed workflows.
• Experience leading technical solutions that span multiple teams, platforms, or engineering domains.
• Proven success influencing engineering standards, governance models, architectural decisions, and platform direction.
• Strong systems-thinking capabilities with experience balancing innovation, scalability, explainability, governance, reliability, security, and customer outcomes.
• Experience driving adoption of reusable platform capabilities across multiple engineering organizations.
• Demonstrated success mentoring engineers and elevating engineering practices across broader teams.
• Experience influencing technical strategy, platform modernization initiatives, AI enablement efforts, and long-term platform evolution.
• Experience establishing effective AI-assisted engineering practices and helping teams adopt modern development workflows responsibly.
• Ability to anticipate downstream impacts and guide engineering decisions that improve long-term platform sustainability, governance, and adoption.

Required Technical Experience for Both Levels

• Experience designing and building cloud-native distributed systems.
• Strong understanding of:
  • Distributed systems and asynchronous workflows
  • Event-driven architectures
  • API and integration platform design
  • Observability and operational telemetry
  • Security and governance concepts
  • AI orchestration and workflow concepts
• Experience with AWS cloud-native services including:
  • Lambda
  • EC2
  • S3
  • SNS/SQS
  • Container-based workloads
  • AI or data-related services
• Experience with:
  • Kafka or equivalent messaging technologies
  • Distributed systems and workflow orchestration concepts
  • Docker
  • Modern API and microservice architectures
  • CI/CD pipelines
• Familiarity with operational AI patterns including:
  • Orchestration
  • Retrieval workflows
  • Agentic execution models
  • Provider abstraction concepts
• Experience working within Agile software development environments.
• Strong communication, collaboration, and problem-solving skills.

Preferred Qualifications

• Experience with AWS Bedrock or similar enterprise AI platforms.
• Experience building shared platform capabilities consumed across multiple product teams.
• Experience with observability, governance, auditing, or telemetry platforms.
• Familiarity with vector search, embeddings, retrieval workflows, and AI integration patterns.
• Experience supporting AI or agentic enablement in enterprise application environments.
• Familiarity with Kubernetes or container orchestration platforms.
• Experience working within multi-tenant SaaS environments.
• Experience collaborating with geographically distributed engineering teams.
• Experience leveraging AI-assisted or agentic development workflows in professional software engineering environments.

What You'll Need to Thrive

• A strong ownership mindset that reflects our value of Own It.
• A collaborative approach that reflects our belief that we’re Better Together.
• A commitment to understanding customer needs and delivering AI capabilities that create meaningful outcomes for educators and administrators.
• Strong systems-thinking capabilities that balance innovation with operational maturity, governance, and long-term platform sustainability.
• Curiosity, adaptability, and a passion for learning and applying emerging technologies.
• Comfort navigating ambiguity while maintaining focus on delivery, reliability, governance, and customer success.
• A desire to build reusable platform capabilities that empower teams across Frontline to innovate responsibly.
• A passion for operational AI systems, developer enablement, platform engineering, and responsible AI adoption.

Compensation & Benefits

Full base compensation ranges:

• Level I: $95,000-$120,000
• Level II: $130,000-$150,000

Frontline offers a competitive compensation package designed to reward impact and support your well‑being, including:

• Competitive base salary aligned to level, experience, skills, and market data.
• Annual bonus opportunity.
• 401(k) with company match.
• Comprehensive medical, dental, and vision coverage.
• Employee stock purchase opportunities where applicable.
• Tuition reimbursement and professional development support.
• Flexible time off and wellness-focused benefits.

Benefits

• Personalized time off.
• Paid sick time.
• Volunteer time off.
• Ten paid holidays.
• Wellness initiatives.
• Employee assistance program.
• Comprehensive health and financial benefits.

Inclusion, Belonging & Equal Opportunity

Frontline Education is an equal opportunity/affirmative action employer. We aspire to have an inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join our team.

Privacy Assurance

Your privacy is important to us. We respect data privacy laws and only use interview recordings and transcriptions for legitimate recruitment purposes, which are stored securely and not shared outside the hiring process.