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.

AI Developer - Experienced

Company: IBM

Location: Kochi, IN

Posted Dec 17, 2025

This job posting describes a role in Kochi India focused on AI and data engineering for digital transformation. Responsibilities include building AI agents, developing data pipelines, and collaborating globally. Required skills involve Python, SQL, and data pipeline experience. The position offers opportunities to impact business outcomes through innovative solutions.

Package Consultant-SAP Ariba SLP

Company: IBM

Location: KARACHI, PK

Posted Dec 17, 2025

The text outlines job responsibilities related to customer needs analysis, solution design, and sales support. It details required education, technical expertise, and preferred skills such as business process development and quantitative analysis. The role emphasizes collaboration, client relationship building, and staying updated with procurement solutions.

Package Consultant-Oracle HCM Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This text promotes an Oracle Cloud Consultant role at IBM Consulting, emphasizing collaboration, innovation, and career growth opportunities. It highlights working with global clients on hybrid cloud and AI solutions, along with technical expertise requirements and preferred qualifications.

Application Developer-Edge & Network Cloud

Company: IBM

Location: Gurgaon, IN

Posted Dec 17, 2025

The text highlights opportunities in IBM Cloud, emphasizing career growth, innovation, and technical development. It outlines roles involving product development, collaboration, and expertise in cloud technologies, with requirements including certifications and experience in networking and automation.

Quality Engineer Intern - Fullstack

Company: IBM

Location: Giza, EG

Posted Dec 17, 2025

IBM Consulting offers roles in hybrid cloud and AI with collaboration opportunities. Responsibilities include testing, automation, and cross-functional teamwork in a growth-focused environment.

SAP BTL Lead

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

IBM Consulting offers career opportunities focused on client relationships, hybrid cloud, and AI innovation. The culture emphasizes growth, collaboration, and technical expertise in roles like Application Developer and Security Administrator.

Data Engineer - Data Platforms - Azure

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description outlines a Data Engineer role focused on building scalable data platforms on Microsoft Azure, designing ETL pipelines, and developing analytics solutions. The position requires expertise in Azure tools, SQL, Power BI, and data governance, with opportunities to collaborate across industries and deliver impactful cloud-native solutions.

SAP Advanced Variant Configuration (AVC) Lead

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description highlights a role in IBM Consulting's SAP Advanced Variant Configuration team, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and responsibilities involving configuration modeling, governance, and integration with business processes. The position requires expertise in SAP modules and offers flexibility to work from anywhere in the US.

SAP FI Consultant - Group Reporting (Hana)

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This text describes a career opportunity in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and the role's focus on delivering high-quality SAP HANA implementations. It highlights the importance of technical expertise, industry knowledge, and working within IBM's delivery centers to drive technological adoption and client success.

Analista de Infra/SRE

Company: IBM

Location: NO City, BR

Posted Dec 17, 2025

This text describes a career opportunity at IBM Consulting focused on digital transformation through agile methodologies and AI-driven processes. It highlights collaboration with clients, innovation in cloud and AI solutions, and a culture emphasizing long-term growth, technical expertise, and creative problem-solving. The role requires DevOps/SRE skills, Kubernetes administration, and automation expertise, with a strong emphasis on career development and impactful outcomes.

Microsoft Dynamics 365 CE - Developer

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This role involves developing CRM solutions and collaborating with teams to enhance client projects, requiring expertise in Dynamics 365 and Power Platform.

Technical Support engineer - PLM QM

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 17, 2025

IBM Consulting offers global collaboration opportunities with innovative clients. The role involves SAP HANA SCM QM consulting, requiring a bachelor's degree and technical expertise in quality management processes.

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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