About Anthrasec Anthrasec is a UK AI and IT services company and a member of the AWS Partner Network. At Anthrasec, our mission is to build software that makes people's lives better and to make sure it can be trusted. We design and develop secure applications where protection is part of the foundation, not an afterthought. Every decision, from architecture to deployment, is made with the safety of the people and businesses who depend on the software in mind.

We also believe that new technology should not be out of reach or risky for the businesses that want to use it. Emerging technologies such as AI, automation, and cloud platforms can open real opportunities, but adopting them without guidance can expose organisations to serious risk. We measure our work by whether the technology we build makes life simpler, safer, and more productive for the people who use it.

In that future, businesses of every size can embrace emerging technologies without fear of the risks. They have a trusted partner to help them adapt, and they can innovate quickly because security is built into everything they create.

Anthrasec aims to be that partner: the company organisations turn to when they want to build the technology of tomorrow, and be confident it is ready for the challenges that come with it.

As our Solutions Architect, you'll be the technical bridge between our clients, our delivery engineers and our product team. You'll design secure, scalable and cost-effective solutions on cloud, hybrid and AI platforms, lead the technical side of client engagements from discovery to delivery, and help shape Anthrasec products based on real customer needs. Turn business requirements into well-documented solution architectures across AWS, Azure, GCP and on-premises or hybrid environments.
Design landing zones, network topologies, identity and access models, data platforms and disaster recovery strategies in line with the AWS Well-Architected Framework.
Make sure every solution meets non-functional requirements: security,



resilience, performance, scalability and cost.
Lead technical discovery workshops with client stakeholders, from founders to IT managers.
Be the trusted technical adviser on client accounts and find chances to improve and expand our work with them.
AI and automation
Design production-grade AI solutions using large language models: retrieval-augmented generation, agent and tool-use systems, guardrails, evaluation and monitoring.
Advise clients on AI adoption: model choice (managed services such as Amazon Bedrock and Azure OpenAI, open-source or self-hosted), data privacy, cost control and responsible AI governance.
Help define products's integration architecture with ITSM, observability, identity, hypervisor and cloud platforms.
Keep track of cloud costs and recommend FinOps improvements.
Contribute reference architectures, whitepapers and guides to Anthrasec's free resources hub.
Represent Anthrasec at AWS Partner Network events, webinars and industry meetups.
Mentor engineers and interns, and help build our architecture practice as the company grows.

Deep, hands-on AWS knowledge: VPC networking, IAM and Organizations, Control Tower, EC2, EKS and ECS, Lambda, S3, RDS, CloudWatch, GuardDuty and Security Hub.
Working knowledge of Microsoft Azure and Microsoft 365, including Entra ID, Intune and Conditional Access.
Infrastructure as code with Terraform or OpenTofu, plus configuration management with Ansible.
CI/CD and DevOps practice with GitHub Actions or GitLab CI, containers and Kubernetes.
Strong networking fundamentals: TCP/IP, DNS, routing, VPNs,



firewalls and hybrid connectivity.
Solid security architecture knowledge: identity, zero trust, segmentation, encryption, and logging and monitoring.
Excellent communication skills, with the ability to explain technical trade-offs to non-technical stakeholders.

AI skills
Experience designing and deploying LLM-based applications: prompt engineering, retrieval-augmented generation, vector databases, and agent or tool-calling patterns.
Understands AI security and governance: prompt injection, data leakage, evaluation and red-teaming, the OWASP Top 10 for LLM Applications, and the UK AI Cyber Security Code of Practice.
Experience with GCP.
Observability tools such as Datadog, Grafana, Prometheus, Splunk or Elastic.
ServiceNow, Jira Service Management, and REST APIs or webhooks.
Scripting or programming in Python, Go, TypeScript, Bash or PowerShell.
Experience with Model Context Protocol (MCP) or building integrations for AI agents.
Knowledge of FinOps and cloud cost optimisation.
Experience in regulated sectors such as healthcare, finance, education or the public sector.

Essential: AWS Certified Solutions Architect – Associate.
AWS Certified Solutions Architect – Qualified.
Desirable (any of): AWS Certified Security – Specialty, Microsoft Certified Azure Solutions Architect Expert (AZ-305), CKA, HashiCorp Certified Terraform Associate, CISSP or CCSP, or an AWS or Azure AI certification.
A degree in computer science, engineering or a related field, or equivalent professional experience.

A hands-on builder who's comfortable going from a client workshop to writing infrastructure code on the same day.
Curious, with a habit of continuous learning in AI, cloud and security.
The chance to shape the architecture practice and products of a fast-growing AI and security company from the ground up.
Remote-first, flexible working.
A funded certification and training budget.

📌 IT Solutions Architect - Remote/Hybrid Working (Ludhiana)
🏢 Anthrasec
📍 Ludhiana