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Software Engineer

Ai Talent Insider — United States · Posted ~3 hours ago

Skills

professional software development programming production software development problem solving communication Python JavaScript TypeScript Java Go C++ cloud DevOps

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Summary ✨ AI‑Generated

A talent network connects software engineers with opportunities at growing technology and AI organizations across the United States, United Kingdom, and Canada. Available roles can cover backend, frontend, full-stack, platform, infrastructure, product engineering, cloud, and DevOps. Candidates should have professional development experience, strong programming ability, production software experience, and solid problem-solving and communication skills.

Highlights

Access to software engineering opportunities ranging from mid-level through lead positions across technology and AI organizations. Roles may span backend, frontend, full-stack, infrastructure, product engineering, cloud, and DevOps, with remote, hybrid, and on-site options depending on the opportunity.

Description

Software Engineering Opportunities — US, UK & CanadaWe are connecting software engineers based in the United States, United Kingdom, and Canada with opportunities across fast-growing technology and AI companies. Opportunities may include: • Backend Engineering • Frontend Engineering • Full-Stack Engineering • Platform & Infrastructure Engineering • Product Engineering • Cloud & DevOps Roles range from mid-level to senior, staff, and lead positions, depending on experience. What companies commonly look for: • Professional software development experience • Strong programming skills in languages such as Python, JavaScript/TypeScript, Java, Go, C++, or similar • Experience building production software • Strong problem-solving and communication skills Remote, hybrid, and on-site opportunities may be available depending on the company and location. Eligibility: Candidates must be based in the United States, United Kingdom, or Canada. Apply through the link to submit your profile for consideration across relevant opportunities in the talent network.