Technical Lead

About Us

VIKASO LTD is a UK-based robotics company redefining how industrial robots are deployed, controlled, and scaled. We are building next-generation hardware and software platforms that abstract complexity, standardise integration, and enable rapid adoption of robotics across manufacturing and logistics environments.

Our approach centres on robot-agnostic technologies that transform robotics from fragmented systems into a scalable, productised platform. While enabling automation at scale, our focus remains on advancing robotics - making robots easier to deploy, more intelligent to operate, and more reliable in production.

At the intersection of software, control systems, and mechatronics, we are building a globally scalable robotics platform that will define the future of industrial automation.

Role Overview

As Tech Lead, you will set technical direction and own end-to-end delivery across our robotics platform. You’ll translate real-world lessons from industrial deployments into clear architectural decisions, ensuring our services, data models, and integrations are coherent, scalable, and observable.

You will lead design reviews, define standards, and make pragmatic trade-offs that accelerate delivery while reducing complexity. Partnering with product and cross-functional leads, you will break work into milestones, proactively manage risks, and unblock engineers across FE/BE/DevOps tracks.

Hands-on where it matters, you’ll guide backend and data design (APIs, workers, time-series/relational models), provide frontend guidance for quality and consistency, and uphold DevOps, reliability, and security baselines (CI/CD, SLOs, secrets, telemetry).

You’ll mentor engineers, raise the bar on reviews and documentation, and make decisions that balance speed with long-term maintainability. Success is defined by clear architecture, reliable releases, measurable team velocity, and a culture of ownership.

Responsibilities

Architecture & Direction

• Define and document the reference architecture for the platforms (APIs, services, data, observability, security).
• Own cross-cutting concerns: Auth, API standards, schema evolution.
• Lead technical design reviews; make clear, pragmatic decisions.

Delivery Leadership

• Translate product requirements into technical plans, milestones, and risks.
• Drive execution across FE/BE/DevOps/QA tracks; unblock engineers daily.
• Maintain a prioritized technical debt backlog and evolve coding standards.

Backend & Data (Hands-on)

• Guide and contribute to backend services, asynchronous workers, data ingestion pipelines.
• Design time-series and relational models (e.g., Timescale/Postgres/Influx) optimized for dashboard queries.

Frontend (Guidance + Pairing)

• Ensure robust patterns for React/Vue apps (state management, WebSockets, charts, performance).
• Support component library conventions; ensure consistency and accessibility.

DevOps & Reliability

• Define CI/CD quality gates, release strategies, environment parity, and infra-as-code approach.
• Establish SLOs, alerting, runbooks; ensure logs/metrics/traces are first-class.

Security & Compliance

• Set baseline security practices (secrets management, dependency hygiene, least privilege).
• Review threat models for external/cloud components.

Team Leadership & Mentoring

• Provide technical mentorship to team members.
• Improve review quality and throughput; foster a healthy engineering culture.

Minimum Qualifications

• 7+ years in software engineering; 2+ years in a Tech Lead/Staff role.
• Proven experience architecting and shipping cloud services (APIs, data, observability).
• Strong backend skills (C++ and Python; PostgreSQL).
• Working knowledge of frontend engineering (React or Vue) sufficient to mentor and set standards.
• DevOps literacy: CI/CD design, containerization, networking, monitoring.
• Excellent communication; can lead design sessions and make trade-offs visible.

Preferred Qualifications

• Built or led data ingestion/logging/analytics platforms.
• Experience with multi-tenant SaaS, RBAC, and API versioning.
• Hardware/device or C++ integration awareness.
• Implemented QA automation strategies (E2E/API/perf).
• Prior startup/scale-up experience.