Challenging Opportunities For You To Learn And Grow Professionally Jobs

1,891,938 open positions · Updated daily

Demand for high‑impact tech roles is surging, with 3,114 openings that blend cutting‑edge innovation and measurable results. Companies prioritize talent that can navigate complex AI models, cloud migrations, and security architectures, and they are willing to pay top dollar for those who can deliver.

Within this category you’ll find AI/ML Engineers building TensorFlow pipelines, Cloud Architects designing Kubernetes clusters on AWS or Azure, DevOps Engineers automating CI/CD with Terraform, Cybersecurity Analysts conducting SOC‑2 audits and threat hunting, as well as Data Engineers crafting performant lakehouse architectures with Delta Lake. Typical responsibilities include model training, infrastructure scaling, automated testing, incident response, and data governance.

Transparent salary data is essential for professionals in these high‑stakes roles. Knowing exact pay ranges allows you to benchmark against peers, negotiate confidently, and identify whether a position’s compensation aligns with the technical depth and impact required. It also promotes equity in a field where under‑compensation can stall innovation.

Site Reliability Engineering Manager

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. The company is hiring a Site Reliability Engineering Manager to lead a high-performance team in a distributed environment. The role involves leading a team, representing the IS team to stakeholders, organizing internal projects, mentoring engineers, and ensuring proper team focus on priorities and deliverables.

Lead Product Manager - Platform

Company: Lumos

Location: Remote

Posted Dec 02, 2025

This job description outlines a Lead Platform Product Manager role focused on developing core identity governance services, collaborating with engineering and security teams, and building scalable systems for enterprise customers. It emphasizes platform ownership, data aggregation, API design, and cross-team collaboration.

Senior Site Reliability / Gitops Engineer

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical seeks a Senior Site Reliability Engineer to drive automation and innovation in open-source technologies, offering global collaboration, competitive benefits, and a dynamic work environment.

Lead Product Marketing Manager

Company: Apollo.io

Location: Remote

Posted Dec 02, 2025

This job description outlines the responsibilities and requirements for a Lead Product Marketing Manager role at Apollo, emphasizing cross-functional collaboration, ownership mindset, and strategic initiatives across the customer lifecycle. The position demands expertise in GTM strategy, product positioning, and data-driven decision-making to drive growth and customer engagement.

Growth Engineer

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is seeking an experienced Growth Engineer to join their team and take ownership of their marketing technology stack, data architecture, and infrastructure. The role involves designing and scaling systems that power marketing automation, lifecycle marketing, and data-driven growth initiatives. The ideal candidate will be passionate about technology, data, and the use of technology in marketing, and will thrive in an environment that emphasizes ownership, collaboration, learning, and continuous improvement.

Software Engineer - Data Infrastructure - Kafka

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is building a comprehensive automation suite for multicloud and on-premise data solutions. The data platform team develops managed solutions for various data stores and technologies, focusing on fault-tolerant, mission-critical distributed systems. They are looking for candidates with experience in Big Data technologies like Kafka and Spark, and offer a fully remote working environment with competitive pay and benefits.

Junior Linux Kernel Engineer - Ubuntu

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on Ubuntu. The company is global, distributed, and offers opportunities for junior professionals to work on the Linux kernel. Canonical values diversity, remote work, and personal development.

Software Engineer - Python - Container Images

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open source software and operating systems. They offer a rewarding career working with the best people in technology, building container images and contributing to open source projects. The company values collaboration, diversity, and knowledge sharing.

Rust Engineering Lead - Linux and Open Source

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is hiring Rust Engineering Leads to drive adoption of Rust in their open-source projects and platforms like Ubuntu. The role involves designing software, advocating for Rust, and collaborating globally in a distributed environment with opportunities for growth and innovation.

Engineering Manager for IAM (Identity and Access Management)

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open source software and operating systems. They are hiring an Engineering Manager for IAM to build high-performing services and secure identity and access management solutions. The role involves working with upstream open source projects and internal teams to deliver high quality software.

Engineering Manager - Managed Services

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open source software and operating systems. They offer a globally remote role for an Engineering Manager to manage a growing engineering team and deliver quality managed services. The company values diversity, offers a distributed work environment, and provides benefits like a personal learning budget and annual compensation review.

Partner Sales Manager - Hewlett Packard Enterprise

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical promotes itself as a leading open source provider with widespread enterprise adoption and global collaboration. The text highlights growth opportunities, key partnerships, and a job opening for a Partner Sales Manager with HPE, emphasizing innovation and open source capabilities.

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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