Tether

At Tether, we're on a mission to turn parked Electric Vehicles into the world's largest battery. We predict EV charging patterns using advanced AI, optimize their available power, and convert them…

tetherev.io

Tether

At Tether, we're on a mission to turn parked Electric Vehicles into the world's largest battery. We predict EV charging patterns using advanced AI, optimize their available power, and convert them…

tetherev.io

HQSE

Team Size13

Open JobsUnknown

Total Funding-

Latest FundraiseUnknown

TL;DR

Mission: Turn parked EVs into a distributed grid-scale battery via prediction & optimization

Core product: Prediction and optimization engine for individual and aggregate EV charging (including V1G/V2G)

Stage & size: Pre-seed; ~13 employees

Headquarters: Stockholm, Sweden

Company Overview

Problem Domain

Electric vehicle charging flexibility, vehicle-to-grid (V2G) and grid-balancing services

Industry

Climate-tech / Energy & Mobility

Funding Track Record

Pre-Seed

Public profiles indicate a Pre-Seed round; total raised and round dates not disclosed in provided evidence.

Investor Signal

“Backed by multiple investors including Zero4Climate and Enzo Ventures”

Founders

What we do

Join the Team

Data Platforms & DevOps Engineer

HybridStockholm, Stockholm County, SE

Hybrid • Stockholm, Stockholm County, SE

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About Tether

Tether enables EV charging operators (CPOs) to earn new revenue from flexibility/balancing markets and through e-credits, without extra complexity. We’re working with several clients, close to our first market qualification in Sweden, and expanding across the Nordics and selected EU markets.

Role summary

We are looking for a hybrid Data & DevOps Engineer to manage our end-to-end data lifecycle. You will not only maintain the cloud infrastructure but also build and optimize the ingestion engines that feed our Databricks Lakehouse. A key part of this role involves interacting with REST APIs, managing serverless ingestion (AWS Lambda), and ensuring data quality from the moment it hits S3.

Key responsibilities

Requirements

AWS Serverless : Hands-on with Lambda, EventBridge, SQS, SNS, and S3.
Databricks : Experience with Delta Live Tables (DLT), AutoLoader, and Unity Catalog.

Compensation & structure

Competitive salary appropriate for an early-stage European startup.
Company equity

⚡Join Tether for…

A central role in defining how EV charging flexibility is sold in Europe
Direct collaboration with the management team on product, data, and cloud infrastructure
High autonomy, fast decision cycles, and meaningful equity/ownership discussions for the right profile

Apply by sending an email to general@tetherev.io with the subject line “Application to Data Platforms & DevOps Engineer position”, including your CV and a brief intro about yourself.

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IaC & security hardening

expand our AWS infrastructure using Terraform or CloudFormation. You will implement rigorous security measures, including VPC peering/PrivateLink for Databricks, KMS encryption at rest, and IAM least-privilege policies.

API ingestion & engineering

build and maintain Python-based ingestion services. You will manage API authentication, handle rate limiting, and ensure efficient data partitioning in S3.

CI/CD evolution

scale our GitHub Actions workflows to handle multi-environment deployments (Dev/Sandbox/Prod) for both cloud infrastructure (Glue and Kinesis) and Databricks DLT pipelines.

Spark performance & optimization

monitor and tune Spark configurations (shuffling, partitioning, caching) to ensure our DLT and AutoLoader pipelines run efficiently.

MLOps support

partner with Data Scientists to automate ML model deployments, managing feature store integrations and model serving infrastructure.

Security & governance

implement SSE-KMS encryption, IAM policies, and lifecycle rules to ensure our data lake is compliant and cost-effective.

Observability & monitoring

build a "single pane of glass" using CloudWatch and Datadog. You’ll create dashboards that track pipeline latency, AutoLoader costs, and system health.

Documentation & knowledge transfer

produce high-quality architectural diagrams and runbooks. You aren't just building, you are mentoring the internal team to ensure long-term operational success.

DevOps : Proficient in GitHub Actions and Terraform.

Monitoring : Hands-on experience with Datadog and CloudWatch Logs/Metrics.

Languages : Strong Python (for Lambda/PySpark) and SQL (for data validation/modelling).

Data prep : Knowledge of AWS Glue (Catalog/ETL) and Kinesis Firehose is a major plus.