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.

Brand Technical Specialist Intern – Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's internship program emphasizes collaborative innovation, technical expertise, and client-centric solutions. The role involves building credibility, developing proposals, and leveraging technology to drive digital transformation. It offers growth opportunities with a focus on teamwork and professional development.

Streaming Engineer

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights opportunities to work on innovative AI-powered cloud-native software solutions at IBM, emphasizing collaboration on large-scale systems and contributions to open-source projects. The role involves enhancing Apache Pulsar, working with distributed technologies like Cassandra, and participating in a fast-paced environment focused on developer experience and scalability. Required expertise includes systems programming, distributed systems, and SDLC processes, with preferences for experience with Pulsar or Kafka.

Intern 2026: IBM Research AI Systems

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Research emphasizes innovation and problem-solving in technology development. The project focuses on improving multimodal data processing systems through AI and software optimizations. Required skills include experience with AI frameworks and programming languages, with a preference for advanced degrees.

Customer/1 Developer (C/1)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description outlines a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing global client collaboration, strategic partnerships, and technical expertise in billing systems and programming languages.

Technology Sales Partner Specialist - Entry Level Sales Program 2026 (Intern, September Start)

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

This text promotes an internship opportunity at IBM's Ecosystem team, highlighting skills development in B2B sales, solution selling, and partner engagement. It emphasizes hands-on training, real business impact, and professional growth in a dynamic environment.

Quality Engineer-Middleware

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a Middleware Testing Practitioner role at IBM Consulting, emphasizing technical expertise, automation skills, and experience with specific tools. It details responsibilities, required education, and technical qualifications for the position.

Package Consultant-SAP BTP

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This role involves working in IBM's delivery centers to deliver SAP solutions, collaborate with clients, and drive innovation through technical expertise and skill development opportunities.

Application Developer-Cloud FullStack

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This role involves working with clients on hybrid cloud and AI projects, requiring software development, collaboration, and expertise in Java, Spring Boot, and microservices. The position emphasizes innovation, stakeholder engagement, and continuous learning within IBM's consulting ecosystem.

Entry Level Back End Developer 2026

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 09, 2025

This job description highlights IBM's opportunity to work on innovative AI projects, collaborate with top experts, and solve complex challenges. The role involves developing enterprise applications with frameworks like PyTorch and TensorFlow, working on cutting-edge hardware accelerators, and contributing to open-source efforts. It emphasizes leadership, technical expertise, and impactful problem-solving in a dynamic environment.

Technical Agent (Bilingual German and English)

Company: IBM

Location: Zagreb, HR

Posted Dec 09, 2025

IBM's job description emphasizes innovation, problem-solving, and client collaboration, highlighting opportunities to work on challenging projects and deliver exceptional technical support in a dynamic environment.

Application Developer-Adobe Experience Manager

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, technical expertise in hybrid cloud and AI, and opportunities for digital transformation. It outlines responsibilities for an Application Developer specializing in Adobe Experience Manager, requiring skills in AEM, Java, and digital solutions.

SAP Security / SAP IDM Consultant

Company: IBM

Location: SYDNEY, AU

Posted Dec 09, 2025

This job description seeks a Principal SAP Security Consultant with expertise in leading security projects, ensuring compliance, and fostering innovation. Required skills include deep SAP security knowledge, strategic thinking, and leadership capabilities. Applicants must have NV1 clearance and a relevant degree or experience.

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.

Related Pages