WE ARE HIRING!
What we offer
👉 An opportunity to be part of the Green Energy revolution
👉 Meaningful and challenging work in a start-up environment.
👉 A team culture focused on innovation, transparency and execution (no bureaucracy).
👉 A hip office in Telliskivi, Tallinn, Estonia — however remote work is also possible.
Who are we looking for?
ANALYTICS & OPS LEAD. You will own the operational performance of Gridio's smart charging and flexibility platform.
SENIOR BACK-END ENGINEER. Keep existing integrations healthy, ship new ones, evolve the platform underneath them, and be the technical anchor for everything that talks to a third-party vendor API.
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ANALYTICS & OPS LEAD, Smart Charging and Flexibility
The role
You will own the operational performance of Gridio's smart charging and flexibility platform. The job covers analytics, data management, reporting, and post-release QA across our fleet of thousands of EVs.
Day to day, you'll know how well the platform is working, why when it isn't, and what to do about it. You'll set the KPIs that matter, track them, and report on them through weekly written updates and in-person summaries. After every major feature release you'll verify whether it actually works across our fleet and brand mix. You'll build and maintain live dashboards for operations monitoring.
This role suits people who get energy from owning a domain end to end. You'll work with significant autonomy, set your own research priorities, and bring findings forward without being asked.
What you'll own
• Platform performance across smart charging and solar charging, day in and day out.
• The KPI framework. You'll propose, refine, and report on the metrics that tell us whether we're winning.
• Weekly reporting and clear escalations when something is off.
• Release QA on fleet operations after every major engineering ship.
• Client-facing dashboards for B2B utility partners.
• Data quality and fleet integrity, including offboarding and anomaly cleanup.
Qualifications
• 2+ years in operations, analytics, BI, or a similar data-heavy role.
• Strong SQL skills and confidence working with operational data.
• Experience with Grafana, Kibana, Tableau, or a similar dashboarding tool.
• Comfortable using AI tools (Claude, Cursor, ChatGPT) to ship Python scripts, SQL queries, and lightweight internal tools.
• Clear communicator. You can turn a messy investigation into three crisp sentences for a Slack channel or a slide for a partner meeting.
• Authorised to work in the EU and based in or willing to relocate to Tallinn.
Nice to have
• Background in energy, utilities, EV, or mobility.
• Familiarity with InfluxDB, OpenSearch, Elasticsearch, or PostgreSQL.
• Experience working with time-series data.
• Bachelor's degree in Engineering, Business, Data Science, or a related field.
Tech stack
Grafana, InfluxDB, OpenSearch / Elasticsearch, PostgreSQL, Asana, Slack, Claude Code with MCP-based diagnostic workflows. We use AI tools extensively. You'll have a workflow set up from day one.
Send a short note and your CV to joinourmission@gridio.io. In your note, tell us about one thing you noticed in operational data that nobody asked you to look at, and what you did about it.
SENIOR BACKEND ENGINEER, Vehicle and Device Integrations
The role
Behind every smart charge Gridio executes, there's a Go service negotiating with the API of a car company, a charger manufacturer, or a battery vendor. We integrate with roughly 48 of them: 20 EV brands, 12 charger brands, and 16 inverter and battery brands.
Each one has its own quirks, its own definition of success and failure, and its own opinion on what OAuth should look like. Our integration layer turns all of that into one clean stream the rest of the platform builds on.Each integration runs as its own ECS service, sharing a common engine and a common contract. Commands and measurements move over Kafka. Identity, customer, and data services are reached via gRPC.
We're hiring a senior engineer to own this codebase end to end: keep existing integrations healthy, ship new ones, evolve the platform underneath them, and be the technical anchor for everything that talks to a third-party vendor API.
What you'll own
• Connector repo ownership. You are the directly responsible engineer for how new integrations are written, tested, and deployed.
• New OEM integrations. Scope and deliver new vehicle, charger, and inverter integrations end to end. OAuth flows, token refresh, device metadata mapping, measurement streaming, command handling, deployment.
• Production reliability. Own the health of the connector fleet across token refresh failures, rate-limit storms, OEM-side outages, schema drift, and credential rotation breakage. Participate in on-call rotation.
• Architecture and platform work. Drive larger changes across Kafka topic design, credential storage (KMS, Secrets Manager, DynamoDB), Lambda fan-out, multi-region deployment, and protobuf schema evolution.
• Security and credentials. Treat user OEM credentials as the crown jewels. Maintain safe OAuth2 and PKCE flows, secure storage and rotation, and least-privilege IAM per integration.
• Collaboration and mentorship. Work with platform teams on contract changes, partner with product on which OEMs to prioritise, and mentor engineers contributing brand-specific integrations.
Qualifications
• 5+ years of professional backend engineering, with substantial recent experience in Go (idiomatic Go, goroutines and channels, context propagation, error handling, profiling).
• Proven track record integrating with third-party APIs at scale, including the messy parts: undocumented quirks, breaking changes, rate limits, flaky auth, regional differences.
• Deep working knowledge of OAuth2, OIDC, and token-based authentication, including refresh flows, PKCE, and credential lifecycle management.
• Hands-on experience with event-driven systems: Kafka preferred, or comparable (NATS, Kinesis, RabbitMQ), including consumer groups, partitioning, idempotency, and back-pressure.
• Solid AWS experience: ECS or equivalent container runtime, Lambda, KMS, Secrets Manager, IAM, Cognito, CloudWatch.
• gRPC and Protocol Buffers in production: defining services, evolving schemas without breaking consumers.
• Comfortable with Terraform and containerized CI/CD (GitLab CI, GitHub Actions, or similar). Capable of changing a deployment pipeline, not just consuming one.
• Strong production debugging skills: reading metrics (Prometheus), traces (OpenTelemetry), and structured logs to localise problems in a distributed system you didn't write yesterday.
• A bias toward small, observable, reversible changes in a system that has 48 live integrations and real customers attached to each.
• Authorised to work in the EU and based in or willing to relocate to Tallinn.
Nice to have
• Prior work in EV, energy, smart grid, V2G, or e-mobility domains.
• Experience with OCPP (chargers), Modbus, or other industrial and IoT protocols.• Familiarity with AWS Cognito as an identity provider beyond basic usage.
• Experience operating multi-region services and dealing with geolocation-sensitive vendors.
• Open-source contributions to the Go ecosystem or to public OEM-API clients.
Tech stack
Go, Kafka, gRPC, AWS (ECS, Lambda, KMS, Secrets Manager, Cognito, CloudWatch), Terraform, GitLab CI, Prometheus, OpenTelemetry.
What success looks like
First 3 months: Comfortable shipping changes across at least two existing integrations. On-call ready, able to triage and mitigate a typical connector incident without escalation. First small architectural improvement landed.
6 months: Delivered at least one new OEM integration end to end, or led a substantial reliability initiative (token refresh, rate-limit handling, credential rotation). Trusted to make build, defer, or deprecate calls on individual brands.
12 months: The integration layer is measurably more reliable, more uniform across brands, and faster to add new integrations to than it was on day one. New engineers can ship their first integration against a clear pattern that you defined.
Send a CV and a short note to joinourmission@gridio.io explaining why you are excited by the role and what makes you potentially great at it.
