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.

Cloud Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

IBM Cloud seeks experienced DevOps engineers to contribute to next-gen cloud platforms, emphasizing innovation, growth, and collaboration in a supportive environment. The role involves developing cloud services, optimizing performance, and working with cutting-edge technologies like Kubernetes and OpenTelemetry.

Enterprise Transformation Analyst

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This text outlines a job role at IBM Federal Consulting requiring a Bachelor's degree and experience in process analysis, AI/ML tools, and government client support. It emphasizes skills in strategic planning, stakeholder engagement, and compliance with DoD clearance requirements.

PROCESS DELIVERY SPECIALIST-LEAD TO CASH

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation, and impactful work with innovative companies. It emphasizes growth opportunities, mentorship, and responsibilities in accounts receivable management with advanced technologies.

Senior Cloud Full Stack Developer

Company: IBM

Location: Giza, EG

Posted Dec 15, 2025

This job description highlights a Senior Application Developer role at IBM with opportunities to lead innovation, develop customized systems, and collaborate globally. The position emphasizes career growth, technical expertise, and impactful contributions to enterprise solutions. Key responsibilities include cloud integration, API development, and maintaining high code quality while working with cross-functional teams.

Security Consultant - L3 Application Security

Company: IBM

Location: Mumbai, IN

Posted Dec 15, 2025

This text promotes a career in IBM Consulting, emphasizing collaboration, innovation, and professional growth opportunities. It highlights roles in application security, technical expertise requirements, and industry standards compliance.

Project Manager-SAP HANA

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a Project Manager role at IBM Consulting, requiring expertise in project management, technical skills, and experience with SAP implementations. The position involves managing complex projects, client relationships, and traveling within India. Educational qualifications and certifications like PMP/ITIL are preferred.

Solution Architect-Data Platforms

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

This job description outlines a role in IBM Consulting's delivery centers focusing on data platform design, cloud technologies, and customer collaboration. Responsibilities include solution architecture, presales support, and technical implementation. Required expertise spans data engineering, Azure cloud platforms, and big data technologies.

Data Scientist-Advanced Analytics

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a Data Engineer role at IBM Consulting, involving data analysis, innovation, and collaboration with cross-functional teams. Responsibilities include developing predictive models, designing search applications, and working in Agile environments. Required qualifications include a Bachelor's degree and specific technical expertise in AI and data technologies.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global collaboration, digital transformation, and client relationship management. The role emphasizes agile methodologies, AI-powered workflows, and strategic partnerships to drive innovation and operational excellence across industries.

Front End Developer (React JS and .NET)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The role involves working with clients on hybrid cloud and AI projects, requiring software development skills and collaboration in IBM's innovation centers.

Machine Learning, Computer Vision, Deep Learning, Natural Language Processing- MSc and PHD-Summer internship 2026- Research Lab

Company: IBM

Location: Haifa, IL

Posted Dec 15, 2025

This text promotes an AI research internship at IBM, highlighting opportunities to work on cutting-edge projects in generative models and multimodal AI. It emphasizes innovation, collaboration, and impactful research with potential for publication in top conferences.

Quote to cash Intern

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The role supports sales execution and compliance, emphasizing collaboration and client experience. It offers growth opportunities and a focus on innovation through tools like Watsonx.

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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