Top Tech Jobs & Startup Jobs

Develop and design front-end web architecture using Angular, ensure application responsiveness, implement features from functional specs, integrate with RESTful APIs, write unit/integration tests, and collaborate with designers and team members to deliver Spring/Java-based web application components.

Develop, test, deploy and maintain full-stack applications. Build backend services/APIs (.NET Core, Node.js), implement frontend features (Angular/React + TypeScript), write unit tests, support CI/CD and DevOps tooling, participate in Agile ceremonies, code reviews, and collaborate across cross-functional teams to deliver scalable software.

Provide senior technical leadership for enterprise network security: operate and optimise firewalls and network devices, troubleshoot Level 2/3 incidents, deliver changes, maintain documentation, support Azure hybrid networking (VNets, NSGs, VPN/ExpressRoute), conduct audits and improve security posture while mentoring engineers.

Design and govern scalable, secure ServiceNow architectures across multiple instances. Lead integrations, automation, process re-engineering, and delivery of enterprise ServiceNow solutions. Provide technical leadership, mentor teams, support pre-sales, and contribute to AI-native (Agentic AI) initiatives while ensuring platform health and compliance.

The Technical Architect designs application architecture, develops technical specifications, collaborates with stakeholders, and ensures software quality and adherence to standards.

This role involves building productivity metrics dashboards, analyzing AI tool usage, and providing insights for decision-making and reporting.

Lead delivery of complex technology and transformation projects for public sector and utilities clients. Manage scope, plans, RAID, budgets, governance and stakeholders; track progress, mitigate risks, ensure compliance, and drive fixed‑price engagements to successful completion.

Lead and coach Agile development teams as Scrum Master, facilitating ceremonies, managing product backlog, translating stakeholder requirements into user stories, driving continuous improvement, and supporting data-related documentation and metrics to ensure timely delivery of high-quality solutions.

Design and implement large-scale data ingestion and transformation pipelines (ETL/ELT). Build data solutions using SQL and Python, optimise queries, and work with Snowflake/S3/Databricks. Translate business requirements into technical designs, communicate with non-technical stakeholders, and deliver high-quality, metadata-driven data solutions.

Design, build, and ship production-grade AI products end-to-end: React frontends, Python backends integrating LLMs/agentic workflows, data layers (Postgres, Databricks, Redis), and CI/CD deployments on AWS (Bedrock, SageMaker) using Kubernetes and Terraform. Harden prototypes for security, scalability, observability, and mentor teams on best practices.