Technical Leadership Jobs

904,495 open positions · Updated daily

Technical leadership roles are at the forefront of the digital transformation wave, with more than 1,400 openings demanding expertise in cloud-native, AI, and edge computing. Companies are building distributed teams that span continents, and the need for leaders who can architect resilient, high‑velocity systems has never been higher.

Positions range from Engineering Manager and Director of Engineering to VP of Engineering, Head of DevOps, Cloud Architect, and AI Platform Lead. Typical responsibilities include scaling engineering squads, driving CI/CD and GitOps pipelines, enforcing security and cost‑optimization policies, and translating business goals into scalable technical roadmaps.

Salary transparency is crucial for leaders who shape product strategy and technology budgets. Knowing the exact compensation bands for cloud, AI, and data‑platform leadership roles empowers professionals to negotiate pay that reflects the value of their technical decisions and their impact on revenue and operational efficiency.

Security Specialist Intern - Infrastructure Security

Company: IBM

Location: Giza, EG

Posted Dec 17, 2025

The text describes a career in IBM Consulting focused on client relationships, hybrid cloud/AI solutions, and security expertise. It highlights opportunities for growth, innovation, and technical skills development in a collaborative environment.

Package Consultant-Oracle Business Analytics

Company: IBM

Location: Kolkata, IN

Posted Dec 17, 2025

The text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and career growth. It outlines responsibilities, required skills in technology integration, and the importance of continuous learning in a supportive work environment.

Quality Engineer-Automation

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

The role involves working in IBM's delivery centers to deliver technical expertise, requiring teamwork, training skills, and technical testing abilities.

Business Transformation Consultant-Finance Transformation

Company: IBM

Location: SYDNEY, AU

Posted Dec 17, 2025

The text promotes IBM Consulting's internship program, emphasizing career growth, collaboration with clients, and opportunities for professional development. It highlights a supportive culture, skill-building, and exposure to innovative projects in hybrid cloud and AI, while showcasing a positive outlook on long-term career advancement.

Data Scientist Intern: 2026 - Research Triangle Park

Company: IBM

Location: RESEARCH TRIANGLE PARK, US

Posted Dec 17, 2025

This text describes an internship opportunity at IBM's Business Platform Transformation, highlighting roles in AI and data science with collaborative environments, professional development, and impactful projects. It outlines responsibilities involving machine learning, strategic planning, and project management, along with required technical skills and soft skills.

Oracle Cloud Projects & Grants Lead (Public Sector/K12)

Company: IBM

Location: Irvine, US

Posted Dec 17, 2025

This job description outlines a role as an Oracle Cloud PPM Lead, requiring expertise in managing project portfolio modules, client collaboration, and strategic partnerships. Responsibilities include leading project implementations, configuring systems, and ensuring alignment with business processes. The position demands extensive ERP experience, strong communication skills, and the ability to work in a dynamic environment.

Data Scientist-Advanced Analytics - Junior

Company: IBM

Location: NO City, BR

Posted Dec 17, 2025

This job posting describes a role within IBM Consulting's innovation centers, focusing on data visualization tools like PowerBI, Spotfire, and Tableau. The position requires a bachelor's degree and expertise in data visualization technologies, with emphasis on delivering technical solutions to clients worldwide.

Application Developer - RPA

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

The text describes an Application Developer role at IBM, highlighting responsibilities like software development, strategic projects, and career growth opportunities. It emphasizes benefits such as learning resources, global impact, and cross-functional collaboration, while mentioning perks like travel and skill development.

SAP PLM Technical Support

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 17, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients and technical expertise in SAP systems. It outlines responsibilities involving implementation and support of PLM solutions, along with required skills in ABAP and problem-solving for enterprise-level companies.

Data Engineer Machine Learning

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

The text describes job responsibilities related to designing data systems, maintaining infrastructure for machine learning models, and required qualifications such as a bachelor's degree and specific technical skills. It also mentions preferred postgraduate studies in data.

Application Developer-ServiceNow

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This role involves collaborating with global clients on innovative projects, requiring a bachelor's degree and certifications in ServiceNow products, with opportunities for professional growth through strategic partnerships and technology platforms.

Consultant Oracle Cloud PPM

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and professional growth. The role involves delivering Oracle Cloud PPM projects, leading solution development, and supporting client success through expertise in finance, technology, and process optimization.

Frequently Asked Questions

What are the typical salary ranges for Technical Leadership roles by seniority level?
Engineering Manager: $140k–$190k base, often topped with 10–20% bonus and 0.5–1% equity. Director of Engineering: $190k–$240k base, 15–25% bonus, 1–3% equity. VP/Head of Engineering: $240k–$320k base, 20–30% bonus, 3–7% equity. Adjustments for cost‑of‑living and company size apply; leaders in AI/ML or multi‑cloud sectors may see a 5–10% premium.
What core skills and certifications are essential for Technical Leadership positions?
Core skills: Kubernetes & container orchestration, Terraform or Pulumi for IaC, GitOps with Flux or ArgoCD, CI/CD pipelines (GitLab CI, Jenkins, CircleCI), cloud expertise (AWS, Azure, GCP), AI Ops (MLflow, Kubeflow), data platform architecture, security (CISSP, ISO 27001), cost‑optimization, and people management. Certifications that add credibility: Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), AWS Solutions Architect Professional, Google Professional Cloud Architect, Certified DevOps Professional, and Scrum Master for cross‑functional leadership.
How common is remote work for Technical Leadership roles?
Approximately 65% of Technical Leadership openings allow full‑time remote work, 20% are hybrid (3–5 days on‑site), and 15% require on‑site presence. Remote roles often demand 24/7 coverage across time zones, so leaders use asynchronous OKR reviews, distributed retrospectives, and tooling like Slack, Zoom, Azure DevOps, and Jira to coordinate squads worldwide.
What are the typical career progression paths for Technical Leaders?
Typical trajectory: Engineering Manager → Director of Engineering → VP/Head of Engineering → Chief Technology Officer or Chief Architect. Lateral moves include Enterprise Solutions Lead, AI/ML Platform Lead, Technical Advisor, or Consulting roles. Advancement hinges on mastering cross‑functional strategy, earning advanced certifications, publishing technical roadmaps, and demonstrating measurable impact on product velocity and revenue.
What industry trends should Technical Leaders be aware of?
Key trends: AI/ML Ops integration for automated model deployment, serverless and Function‑as‑a‑Service for cost‑efficient scaling, multi‑cloud governance tools like Anthos or Terraform Enterprise, AI‑driven observability and predictive monitoring, edge computing for low‑latency services, data mesh and governance frameworks, automated security (SecOps), sustainability metrics for cloud usage, and remote‑first culture with distributed leadership practices. Leaders should adopt Kubernetes‑native ops, implement cost‑monitoring dashboards, and champion DevSecOps to stay competitive.

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