Competitive Service Jobs in Remote

372,722 open positions · Updated daily

Looking for Competitive Service jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Competitive Service position in the Remote area.

Product Designer

Company: EVERFI

Location: Remote

Posted Jan 25, 2025

Senior Data Engineer

Company: Going

Location: Remote

Posted Jan 25, 2025

Going is seeking a Senior Data Engineer to lead their data infrastructure efforts. The role involves designing, building, and scaling a robust data infrastructure, collaborating with cross-functional teams, and ensuring high-impact decision-making. The ideal candidate should have 6+ years of professional experience in data engineering, proficiency in big data technologies, cloud platforms, and modern data engineering frameworks. The company offers a competitive salary, remote work environment, annual team retreats, comprehensive benefits, and a culture that values diversity and inclusion.

Senior Software Engineer

Company: Datadog

Location: Paris, France / Remote

Posted Jan 25, 2025

Senior Site Reliability Engineer [United Kingdom]

Company: Olo

Location: Remote

Posted Jan 25, 2025

Olo, a leading SaaS platform, is seeking a Site Reliability Engineer to improve system availability and enhance customer experience. The role involves guiding observability, implementing incident response tools, building collaborative monitoring solutions, and contributing to system improvements. The position is fully remote within the UK, contracted through Deel. Requirements include 5+ years of experience in building scalable systems, proficiency in monitoring tools, incident management, and build/deploy tools. Olo offers a competitive compensation range of £57600 - £68400 annually.

Senior Business Intelligence Analyst

Company: Going

Location: Remote

Posted Jan 25, 2025

The Senior Business Intelligence Analyst role involves driving the company's data strategy, collaborating with stakeholders to uncover business priorities, and delivering insights that fuel impactful decisions. The role requires producing actionable BI analytics, partnering with cross-functional teams, building dashboards and visualizations, and ensuring data accuracy and accessibility. The ideal candidate should have 5+ years of relevant experience, strong expertise in BI tools, and experience with data lakes and large-scale data processing tools. The role offers a competitive salary, remote work environment, and comprehensive benefits.

Frequently Asked Questions

What are typical salary ranges by seniority for Competitive Service roles?
Junior Cloud Engineers earn $80,000–$110,000, mid‑level SREs range $110,000–$150,000, senior architects and lead incident responders command $150,000–$220,000+, with executive roles exceeding $250,000 depending on company size and region.
What skills and certifications are required in Competitive Service?
Core skills include Kubernetes, Terraform, CI/CD (GitLab, Spinnaker), observability (Prometheus, Grafana), and incident‑response platforms (PagerDuty, Opsgenie). Certifications such as AWS Certified Solutions Architect, Certified Kubernetes Administrator (CKA), Certified DevSecOps Professional, and ITIL Foundation are highly valued.
Is remote work available for Competitive Service positions?
Yes, most Competitive Service roles offer 100% remote or hybrid arrangements. Companies prioritize cloud‑first toolsets, which enable distributed teams to manage services from anywhere while maintaining strict security controls.
What career progression paths exist in Competitive Service?
Typical progression starts with Support Engineer → SRE → Cloud Architect → Incident Response Lead → Technical Program Manager or VP of Reliability. Continuous learning and cross‑functional experience accelerate movement into leadership and strategy roles.
What industry trends are shaping Competitive Service today?
Emerging trends include multi‑cloud orchestration, IaC automation, AI‑Ops for predictive incident mitigation, zero‑trust security architecture, and the integration of observability with machine‑learning analytics to reduce mean time to recovery.

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