Senior Platform Engineer

Let’s Tango ! Where Innovation Meets Impact.

At Tango Analytics, we’re all about helping businesses make smarter decisions through powerful technology, insightful data, and a whole lot of collaboration. Whether you are 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's Tango !

We are looking for an Senior Platform Engineer to join our dynamic and growing Platform Engineering team.
Role Summary:

We are building a platform engineering function from the ground up and this role is at the center of it. As a Senior Platform Engineer you will be a founding team member with a clear, three-part mission: fully rearchitect and codify our cloud estate on AWS and Azure, stand up a world-class SRE and observability practice, and build an Internal Developer Platform with golden paths that make shipping software fast, safe, and self-service. This is a high-ownership individual contributor role. You will work directly with the Platform Engineering Manager to translate strategy into production infrastructure, drive adoption across engineering teams, and set the technical bar for how the platform is built and operated.

If you have strong opinions about infrastructure-as-code, love building things other engineers depend on every day, and want genuine end-to-end ownership — this role is for you.
Key Responsibilities:
Cloud Modernization — Rearchitect & Codify

- Migrate all existing AWS and Azure infrastructure to OpenTofu/Terraform and Ansible; establish module standards, remote state, and GitOps-based plan/apply pipelines — no unmanaged resources

- Audit the cloud estate against the AWS and Azure Well-Architected Frameworks; produce a remediation backlog and drive it to completion across networking, IAM, landing zones, account structure, and cost governance

- Implement policy-as-code (OPA/Conftest, AWS SCPs, Azure Policy) to enforce security, tagging, and compliance guardrails at the platform layer — governance embedded, not bolted on

- Build and maintain reusable Terraform modules for compute (EKS, AKS, EC2), networking, storage, databases, and identity as shared building blocks for all engineering teams

- Define FinOps standards: tagging taxonomy, cost allocation dashboards, rightsizing recommendations, and reserved capacity planning across both clouds

SRE & Observability

- Design and implement the full observability stack: metrics (Prometheus/Datadog), logs (Loki/OpenSearch), traces (Tempo/Datadog APM), and dashboards (Grafana) — instrumented end-to-end via OpenTelemetry

- Define SLIs and SLOs for all platform shared services and critical applications; build error budget dashboards and burn-rate alerting — alert on symptoms, not raw metrics

- Establish the SRE practice from scratch: incident runbooks, post-incident review templates, and at least one chaos engineering exercise (AWS FIS or equivalent)

- Partner with engineering teams to instrument their services, define meaningful alerts, and build operational dashboards — reliability is a shared responsibility, not a platform team tax

- Build capacity planning models for compute and storage so engineering leadership can make data-driven scaling decisions

Internal Developer Platform & Golden Paths

- Deploy and operate a developer portal (Backstage, GitHub or equivalent) as the single front door: service catalog, scaffolding templates, runbooks, API docs, and on-call ownership all in one place

- Build and maintain golden paths for the highest-frequency developer workflows: new service creation, Kubernetes deployment, database provisioning, secrets management, and CI/CD pipeline setup - opinionated defaults with escape hatches for legitimate edge cases

- Own the CI/CD platform layer: standardized pipeline templates (GitHub Actions, GitLab CI), reusable workflow libraries,