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.

Dev FullStack

Company: IBM

Location: NO City, BR

Posted Dec 10, 2025

This job description outlines requirements for a developer role involving full-stack application development, clean code practices, collaboration in agile teams, and working within IBM's delivery centers. It specifies needed education and technical expertise in programming languages like JavaScript, TypeScript, and Angular.

Package Consultant-SAP HANA SCM QM

Company: IBM

Location: Ahmedabad, IN

Posted Dec 10, 2025

This job description outlines a role in IBM Consulting focused on integrating packaged technology solutions for clients, with emphasis on SAP implementation and quality management processes. The position requires expertise in SAP HANA, cross-module integration, and business process understanding, along with educational qualifications ranging from a bachelor's to master's degree.

Event Streams Site Reliability Engineer

Company: IBM

Location: Mulhuddart, IE

Posted Dec 10, 2025

The text describes a Site Reliability Engineer role at IBM's Cloud PaaS team in Dublin, highlighting opportunities to work on cutting-edge cloud infrastructure, leadership in cloud technology, and collaboration with industry experts. It emphasizes required skills in Kubernetes, Kafka, Terraform, and DevOps tools, while showcasing IBM's commitment to innovation and global-scale solutions.

Estágio em Tributos Indiretos

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 10, 2025

This internship at IBM Consulting offers career growth through client collaboration, skill development, and diverse responsibilities like research and analysis in a supportive environment.

Package Consultant-SAP HANA SCM IBP

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This text describes a career opportunity at IBM Consulting, highlighting collaboration with global clients, innovation in hybrid cloud and AI, and professional growth through technical expertise and cross-industry projects. It emphasizes strategic SAP solutions, customer success, and career development in a dynamic environment.

人事/Human Resource Professional

Company: IBM

Location: Tokyo, JP

Posted Dec 10, 2025

The text describes a career in IBM HR focused on fostering trust, employee engagement, and workplace growth. It highlights collaboration with global teams, professional development opportunities, and a culture of innovation and inclusion. Roles involve supporting organizational growth, managing HR operations, and participating in transformation projects.

RHPAM BAMOE CP4BA Delivery Consultant

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This role offers career growth and collaboration opportunities, focusing on delivering world-class solutions and positive impact through technical expertise and client partnerships.

Application Developer-Azure Cloud Modernization

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This text describes a GenAI Engineer role at IBM Consulting, emphasizing collaboration with clients, innovation in hybrid cloud and AI, and the opportunity to design cutting-edge solutions using Azure AI and Foundry platforms. It outlines responsibilities, required skills, and preferred experiences for the position.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and drive innovation. Responsibilities include data analysis, predictive modeling, and collaboration in Agile teams using tools like Python and Spark. Required skills include Azure Databricks, SQL, and ETL tools.

Data Engineer-Data Platforms

Company: IBM

Location: Hyderabad, IN

Posted Dec 10, 2025

This job description outlines a Big Data Engineer role at IBM Consulting, involving development of data solutions, infrastructure management, and collaboration with data scientists. It lists required skills in Hadoop, Spark, Python, and cloud technologies, along with preferred qualifications like DevOps experience and advanced degrees.

SWE: Toward Autonomous Data Management with AI Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

IBM Research offers an internship focused on developing autonomous data management systems using AI and large language models. The role involves working with foundation models, knowledge graphs, and generative AI tools for DataOps. Ideal for students in computer science with experience in AI, programming, and data systems, the opportunity emphasizes innovation and real-world impact in a collaborative environment.

Manager, HashiCorp Security Governance, Risk, and Compliance

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This job description highlights a Security GRC Manager role at IBM, emphasizing opportunities to lead a high-performing team, contribute to cloud-native solutions, and ensure compliance with security frameworks. The position requires expertise in GRC operations, people management, and familiarity with certifications like SOC 2 and ISO 27001.

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