Platform Engineering Manager

Locatee AG; United States; Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Competitive Compensation

Comprehensive Benefits

Flexible Work Environment

Inclusive & Collaborative Culture

Job summary

Locatee AG is seeking a Platform Engineering Manager to build and operate their AI-native Internal Developer Platform, enhancing engineering velocity across the organization.

You will oversee cloud modernization, ensuring governance across AWS and Azure while leveraging observability tools to deliver an efficient infrastructure.

Key perks include competitive compensation with a base salary of $160,000 - 200,000 and a collaborative work environment.

Qualifications

• 8+ years in infrastructure, DevOps, or platform engineering.
• 2+ years in engineering management.
• Deep hands-on AWS and Azure expertise.

Responsibilities

• Build and operate an AI-native Internal Developer Platform.
• Lead cloud modernization and establish governance for multi-cloud environments.
• Collaborate on migration programs and define onboarding playbooks.

Skills

AWS expertise

Azure expertise

Infrastructure as Code (IaC)

CI/CD pipeline management

Observability tools

Leadership skills

Tools

Terraform

GitHub Actions

Datadog

OpenTelemetry

Job description

*Applicants must be authorized to work in the U.S. for any employer.

*We cannot sponsor employment-based visas at this time.

Let’s Tango! Where Innovation Meets Impact.

AtTangoAnalytics, we’re all about helping businesses make smarter decisions through powerful technology, insightful data, and a whole lot of collaboration. Whether you're a creative thinker, a strategic planner, a tech wizard, or a customer champion, there's a place for you on our team. We believe work should be meaningful and fun — so if you're ready to make a difference while enjoying the journey, come join us and let'sTango!

We are looking for a Platform Engineering Manager to join our dynamic and growing Platform Engineering team.

About the Role

We are seeking a Platform Engineering Manager to build and operate our AI-native Internal Developer Platform (IDP) – the foundational layer that powers engineering velocity across the organization. You will own multi‑cloud infrastructure (AWS & Azure), define golden paths, drive cloud modernization aligned to Well‑Architected Frameworks, and deliver the observability, shared services, and agentic infrastructure that give every team a production‑ready foundation. A defining dimension of this role is partnering with peer engineering leaders to actively migrate teams onto the platform and position it as the organization's AI‑first engineering foundation.

Key Responsibilities

Platform Strategy & Architecture

• Own and execute the Platform roadmap: compute, networking, identity, observability, shared services, and AI/ML tooling across AWS and Azure
• Lead cloud modernization against the AWS and Azure Well‑Architected Frameworks across all five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization
• Define golden paths – standardized self‑service workflows for service scaffolding, DB provisioning, environment spin‑up, and AI workload deployment – with escape hatches for edge cases
• Own multi‑cloud strategy; ensure consistent IAM, networking, and FinOps governance across providers

IaC & CI/CD Automation

• Drive OpenTofu /Ansible as source of truth for all infrastructure; enforce GitOps and policy‑as‑code for governance, auditability, and security
• Build and mature CI/CD pipelines (GitHub Actions, ArgoCD) to maximize deployment frequency, reduce lead time, and enable zero‑ticket self‑service provisioning

Observability

• Own org‑wide observability: metrics, logs, traces, and alerting – extended to AI/LLM signals (token usage, model latency, inference cost, agent task completion rates)
• Operate a centralized observability platform (Datadog /Signoz, OpenTelemetry, Grafana/Prometheus/Loki, or equivalent) delivered via golden paths; define SLIs/SLOs as onboarding defaults for all services
• Ensure full‑stack coverage across infrastructure, Kubernetes, APM, distributed tracing, AI pipelines, and cost anomaly detection

Shared Services

• Build and operate a self‑service shared services catalog: secrets management, API gateways, model registries, and LLM gateways
• Rationalize duplicative per‑team infrastructure; maintain shared services to production SLA standards with clear ownership and consistent security controls

AI Platform & Agentic Infrastructure

• Own GPU/accelerated compute, model serving, vector databases, RAG pipelines, and LLM API gateway management (AWS Bedrock, Azure OpenAI, Anthropic)
• Build AI golden paths for self‑service model deployment and LLM integration; design agentic infrastructure including orchestration runtimes, tool registries, memory/state services, and human‑in‑the‑loop workflows
• Establish governance, cost controls, prompt injection guardrails, and model access policies for AI API usage and inference spend
• Partner with data science and ML engineering to translate agentic workflow requirements into reusable platform primitives

Platform Adoption & Team Migration

• Collaborate on migration program: partner with peer managers to plan and execute structured workload migrations onto the platform with hands‑on support – not just documentation
• Define onboarding playbooks covering golden paths, shared services, observability setup, CI/CD cutover, and AI capability onboarding; track and report adoption metrics to leadership
• Identify and remove migration blockers – technical gaps, missing services, or organizational friction – and feed them into the platform roadmap
• Build a self‑service developer portal (Backstage, GitHub or equivalent) with service catalogs, golden paths, and AI/agentic workflow templates; track DORA metrics and developer experience KPIs
• Hire, develop, and retain high‑performing platform engineers; build AI fluency across the team and foster a platform‑as‑a‑product culture with feedback loops, OKRs, and iterative road‑mapping
• Lead architecture reviews; make pragmatic build‑vs‑buy decisions; partner with security and compliance on governance priorities

Security, Compliance & FinOps

• Embed secure‑by‑default guardrails: IaC scanning, RBAC, secrets management, container hardening, and AI‑specific controls (prompt injection defense, model access governance, data residency)
• Own cloud cost optimization across AWS and Azure including AI inference spend; maintain SOC 2/ISO 27001 compliance posture

About You

Required

• 8+ years in infrastructure, DevOps, or platform engineering; 2+ years in engineering management
• Cloud: Deep hands‑on AWS and Azure expertise: multi‑cloud architecture, IAM, networking, compute, and AI/ML services (SageMaker, Bedrock, Azure OpenAI, Azure ML)
• IaC & CI/CD: Terraform required; GitOps, policy‑as‑code; GitHub Actions / ArgoCD at scale
• DP: Proven track record building an IDP with self‑service workflows, golden paths, and developer portal (Backstage, GitHub, or equivalent)
• Observability: OpenTelemetry, Datadog, Signoz, or Prometheus/Grafana at scale; SLI/SLO definition and enforcement
• Shared Services: Built and operated multi‑team shared service catalogs with production‑grade SLAs
• Adoption: Led structured platform migration and adoption programs in partnership with peer engineering leaders
• Strong cross‑functional influencing skills; comfortable as a peer to engineering managers and product leaders

Nice to Have

What We Offer

• Competitive Compensation – We recognize and reward your contributions with a salary package that reflects your value.
• Comprehensive Benefits – Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well‑being.
• Flexible Work Environment – Whether remote, hybrid, or in‑office, we support work arrangements that promote productivity and balance.
• Inclusive & Collaborative Culture – We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.

Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status.

Base pay offered for this position is: $160,000 - 200,000 (+10% annual bonus)