Job Offers at TeKnowledge

Responsibilities

Strategy & Leadership

• Define and execute the DevOps strategy and roadmap for the enterprise.
• Champion a DevSecOps culture, embedding security and compliance into every stage of the SDLC.
• Partner with engineering managers, architects, and product leaders to improve delivery velocity, resilience, and platform reliability.
• Lead modernization initiatives such as cloud-native infrastructure, container orchestration, and infrastructure-as-code.

Platform & Delivery Enablement

• Own and manage CI/CD pipelines, build/release processes, and automation frameworks.
• Ensure observability, monitoring, and logging frameworks are in place for all applications and services.
• Drive adoption of infrastructure-as-code (Terraform, Ansible, CloudFormation).
• Oversee the deployment and scaling of systems across multi-cloud and hybrid environments.
• Manage platform reliability practices (SRE principles, SLIs/SLOs/SLAs).

Governance, Risk & Compliance

• Ensure DevOps practices comply with security, regulatory, and data protection standards.
• Implement disaster recovery, business continuity, and incident response frameworks.
• Govern access management, secrets management, and secure configuration management.
• Align DevOps operations with enterprise ITIL and GRC frameworks.

Leadership & People Development

• Lead, coach, and mentor DevOps engineers, site reliability engineers (SREs), and automation specialists.
• Foster a culture of automation, collaboration, and continuous improvement.
• Develop career pathways and succession planning for DevOps talent.
• Encourage knowledge sharing, cross-training, and innovation across DevOps teams.

Stakeholder & Vendor Management

• Collaborate with engineering, QA, and security managers to deliver end-to-end platform reliability.
• Manage relationships with cloud providers, DevOps tooling vendors, and third-party partners.
• Represent DevOps in architecture boards, engineering forums, and executive updates.
• Drive cost optimization and value realization from cloud and DevOps investments.

Qualifications

Education & Certifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field (mandatory).
• Postgraduate qualification (MBA, MSc in IT/Engineering) – advantageous.
• Professional Certifications (preferred/required): AWS Certified DevOps Engineer, Azure DevOps Engineer, Google Professional Cloud DevOps Engineer; Kubernetes certifications (CKA, CKAD); Infrastructure-as-Code tools (Terraform, Ansible, Puppet, Chef); Security/Compliance certifications (CISSP, CISM, cloud security); Agile/SAFe certifications (Scrum Master, SAFe Practitioner).

Experience

• 8–12 years’ experience in DevOps, cloud engineering, or infrastructure roles, with at least 3–5 years in a leadership capacity.
• Proven experience building and scaling DevOps practices in enterprise or fintech environments.
• Hands-on expertise with CI/CD, automation, container orchestration (Kubernetes, Docker), and monitoring tools.
• Strong background in cloud-native architectures and hybrid cloud platforms.
• Experience implementing SRE practices, observability, and incident response frameworks.
• Familiarity with regulated industries (banking, fintech, telecom, healthcare) preferred.

Core Skills & Competencies

• Deep expertise in DevOps tools, cloud infrastructure, and automation practices.
• Strong leadership and people management skills, with a proven ability to grow high-performing DevOps teams.
• Excellent knowledge of security, compliance, and governance in DevOps.
• Strong stakeholder engagement and communication skills.
• Ability to balance innovation, speed-to-market, and operational stability.

go to method of application »

• At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.
• You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.
• Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world.

Why You’ll Enjoy It Here:

• Be Part of Something Big – A growing company where your contributions matter.
• Make an Immediate Impact – Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
• We Care – Integrity, empathy, and purpose guide every decision.

We’re looking for innovators, problem-solvers, and experts ready to drive change and grow with us.

We Are TeKnowledge. Where People Lead and Tech Empowers.

Responsibilities

• Take ownership of end-to-end solution delivery, including design, development, testing, and deployment
• Develop software in collaboration with AI tools to accelerate delivery and improve code quality
• Drive rapid prototyping and iteration cycles
• Design systems that integrate with AI services, APIs, and automation workflows
• Produce clean, efficient, well-tested code with strong design and architecture
• Identify, prioritize, and execute tasks across the software development lifecycle
• Review and debug code; perform validation and verification testing
• Automate tasks through appropriate tools and scripting
• Develop flowcharts, layouts, and documentation to identify requirements and solutions
• Document development phases and monitor production systems
• Collaborate with internal teams and vendors to fix and improve products
• Ensure software stays current with the latest technologies
• Apply secure coding practices throughout the SDLC (OWASP Top 10, input validation, authentication, secrets management, vulnerability remediation)

AI-Native Development

• Leverage AI tools (Claude, GitHub Copilot, Cursor) to design, develop, test, and document software
• Apply prompt engineering and structured prompting techniques to generate code, test cases, and technical documentation
• Build and optimize workflows that integrate AI into the software development lifecycle
• Design and execute AI-assisted testing strategies, including automated test generation and edge-case simulation
• Use AI tools to identify bugs, vulnerabilities, and performance issues
• Collaborate with QA to implement continuous, AI-driven testing pipelines
• Critically evaluate AI-generated outputs and ensure production-quality standards
• Contribute to internal AI-assisted development frameworks and reusable patterns
• Continuously evaluate and adopt emerging AI development tools and practices

Qualifications

Experience

• Minimum 5 years of proven experience as a Full Stack Software Engineer
• Extensive hands-on experience in software development, scripting, and Agile/Scrum methodology
• Demonstrated ability to work independently with minimal supervision from Software Architects
• BSc/BA in Computer Science or a related degree

Technical Skills

• Strong command of core languages and frameworks: Node.js, TypeScript, React, C#, Python, Flutter
• Solid understanding of JSON, REST, and OpenAPI spec
• In-depth knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (Cosmos DB, MongoDB)
• Familiarity with Windows and Unix operating systems
• Understanding of secure coding practices

AI & Automation Skills

• Hands-on experience using AI-assisted coding tools (Claude, Copilot, Cursor)
• Understanding of prompt engineering and structured prompting techniques
• Ability to validate and refine AI-generated outputs
• Familiarity with AI/LLM APIs (OpenAI, Anthropic, Azure OpenAI)
• Experience building automation workflows or internal tools using AI

Preferred Qualifications

• Experience with DevOps tools (e.g., Azure DevOps) and automated testing frameworks
• Experience building AI-powered applications (chatbots, copilots, automation tools)
• Familiarity with vector databases, embeddings, or RAG architectures
• Experience integrating AI into enterprise workflows
• Excellent organizational and leadership skills
• Analytical mind with strong problem-solving aptitude