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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and development of scalable, reliable software platforms, with a strong focus on distributed systems and cloud-native applications. Proven ability to mentor engineering teams, establish best practices, and drive technical excellence in a fast-paced environment.
Highest-signal resume keywords
Golang ProficiencyDistributed Systems ExpertiseCloud-Native Application DevelopmentKubernetes and Docker ExperienceAI Platform Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Platform DevelopmentMicroservices ArchitectureAPI DesignObservability ImplementationLow-Latency System DesignDatabase ManagementEvent-Driven ArchitectureInfrastructure-as-CodeSecurity PracticesPerformance Optimization
Soft Skills
Team LeadershipMentoringCollaborationStrategic Decision-MakingContinuous Learning
Tools & Technologies
KubernetesDockerAWSAzureGCPTerraformPrometheusGrafanaOpenTelemetryCI/CD Pipelines
Industry Keywords
Enterprise ApplicationsSaaS PlatformsAI InfrastructureMLOpsStartup Environment
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformGrafanaJavaKubernetesMicroservicesPrometheusPythonRustTerraform
About the role
Key responsibilities & impact- Lead the design and development of Aion's core platform and infrastructure, ensuring scalability, reliability, and performance.
- Drive high-level architecture discussions and establish engineering standards across multiple products and services.
- Make strategic technical decisions balancing product requirements, engineering velocity, and long-term platform sustainability.
- Review system designs, technical proposals, and implementation plans to ensure engineering excellence.
- Lead, mentor, and grow a high-performing team of software engineers.
- Foster a culture of ownership, collaboration, continuous learning, and technical excellence.
- Establish engineering best practices across code quality, testing, documentation, security, and operational readiness.
- Support hiring, onboarding, performance management, and career development of engineering team members.
- Partner closely with Product, Design, AI, Infrastructure, and Customer Success teams to translate business requirements into scalable technical solutions.
- Drive project planning, execution, prioritization, and delivery across multiple engineering initiatives.
- Ensure timely delivery of high-quality software while balancing technical debt and platform investments.
- Collaborate with customers to understand deployment challenges and translate feedback into product improvements.
- Build resilient, highly available systems capable of supporting enterprise-scale AI workloads.
- Drive improvements in platform performance, observability, monitoring, incident response, and operational excellence.
- Optimize development workflows, CI/CD pipelines, release processes, and engineering productivity.
- Establish scalable engineering processes that support rapid company growth.
- Work closely with executive leadership to align engineering strategy with business objectives.
- Collaborate across engineering teams to drive platform consistency, architectural alignment, and knowledge sharing.
- Represent engineering in customer discussions, technical workshops, and strategic planning sessions.
- Contribute to the long-term technology vision and roadmap for Aion's enterprise AI platform.
Requirements
What you’ll need- 8+ years of experience building and scaling software platforms, distributed systems, or enterprise applications.
- 2+ years of experience leading engineering teams in a fast-paced startup or high-growth environment.
- Strong proficiency in Golang is preferred. Experience with Python, Rust, Java, or C++ is a plus.
- Deep understanding of distributed systems, microservices architecture, cloud-native applications, and API design.
- Experience with Kubernetes, Docker, cloud platforms, and Infrastructure-as-Code.
- Strong knowledge of databases, caching systems, messaging platforms, and event-driven architectures.
- Experience building highly scalable, low-latency, production-grade systems.
- Familiarity with AI infrastructure, LLM deployment, inference systems, orchestration platforms, or MLOps is highly desirable.
- Experience implementing observability using Prometheus, Grafana, OpenTelemetry, and distributed tracing.
- Strong understanding of software security, authentication, authorization, and enterprise deployment practices.
- Bonus/ Good to Have
- AI Platform Engineering: Experience building AI platforms, model serving infrastructure, orchestration systems, or enterprise AI products.
- Cloud Infrastructure: Experience with AWS, Azure, GCP, Kubernetes Operators, Terraform, or platform engineering.
- Enterprise Software: Experience building multi-tenant SaaS platforms, customer VPC deployments, or on-premises enterprise solutions.
- Developer Experience: Experience building internal developer platforms, SDKs, APIs, developer tooling, or engineering productivity platforms.
- Startup Leadership: Experience scaling engineering teams from early-stage startup to growth-stage organizations
Benefits
Comp & perks- Founder-level ownership and bias for action.
- Strong strategic thinking and ability to connect technical decisions to business impact.
- Excellent communication and mentoring skills.
- Thrives in ambiguity, fast-paced environments, and early-stage startup culture.
- Why Join aion?
- Work directly with high-pedigree founders shaping technical and product strategy.
- Build infrastructure powering the future of AI compute globally.
- Significant ownership and impact with equity reflective of your contributions.
- Competitive compensation, flexible work options, and wellness benefits
