Chief Technical Officer

Job Description

Title: Chief Technical Officer

Company Name: Pridesys IT Limited

Vacancy: --

Age: At least 35 years

Job Location: Anywhere in Bangladesh

Salary: Negotiable

Experience:

Published: 2026-01-31

Application Deadline: 2026-03-02

Education:

• Master of Science (MSc) in Computer Science & Engineering
• Bachelor of Science (BSc) in Computer Science & Engineering

• Age At least 35 years

Technology Strategy & Architecture

• Expert in system design, software architecture, OOP principles, and design patterns.

• Strong ability to define reference architectures, standards, and decision frameworks across teams (e.g., ADRs, architecture review boards).

• Deep understanding of performance engineering, scalability, resiliency, and security-by-design.

Full-Stack & Modern Engineering

• Strong understanding (hands-on or leadership-level depth) in modern stacks such as:

  • Frontend: ReactJS (or equivalent)

  • Backend: Spring Boot, Python (or equivalent)

  • APIs: REST, GraphQL; event streaming (Kafka/RabbitMQ is a plus)

• Strong database expertise:

  • SQL: PostgreSQL/MySQL

  • NoSQL/cache/search: MongoDB/Redis (and equivalent systems)

Cloud & Cloud-Native

• Strong cloud leadership experience: Azure (preferred) or GCP.

• Deep familiarity with cloud-native technologies and operating models:

  • Kubernetes, Docker, Helm

  • Terraform/IaC, GitOps workflows

  • Security hardening, IAM, network design, secrets management

DevOps, Reliability & Delivery

• Ownership-level experience implementing:

  • CI/CD at scale, release governance, environment strategy

  • SRE principles, SLIs/SLOs, incident management, postmortems

  • Observability stacks (logs/metrics/traces), capacity planning, cost governance (FinOps mindset)

AI Engineering & Productization

• Experience leading AI engineering initiatives including:

  • Generative AI & LLM integrations (e.g., GPT-class models and alternatives)

  • RAG pipelines, embeddings, vector databases, evaluation/guardrails

  • Prompt engineering, model orchestration, and AI safety considerations

• Ability to translate AI capabilities into product features with measurable impact, while managing risk, security, and cost.