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This role offers the chance to join a dynamic and agile engineering team responsible for building, maintaining, and scaling customer-facing platforms and services. As a DevOps Engineer I, you will collaborate closely with software engineers and engineering leadership to implement best practices in infrastructure, automation, and CI/CD pipelines. You will ensure operational excellence, system reliability, and performance while supporting continuous integration and deployment processes. The position emphasizes hands-on problem-solving, monitoring, and proactive improvements, offering exposure to cloud environments, containerization, and Infrastructure-as-Code. You will contribute to architectural discussions, automate workflows, and help drive long-term maintainability and scalability of services. This is an ideal opportunity for engineers who thrive in collaborative, fast-paced, and innovative environments.
Accountabilities:
- Participate actively in Agile delivery teams to ensure consistent, reliable, and high-quality software releases
- Collaborate with developers and cross-functional partners to design, build, and deploy scalable software solutions
- Champion automation-first, code-centric practices for deployment, monitoring, and maintenance processes
- Support production operations including incident response, troubleshooting, and on-call rotations to maintain uptime and reliability
- Design infrastructure and deployment solutions with scalability, resilience, and long-term maintainability in mind
- Develop, implement, and maintain monitoring and alerting systems to ensure optimal application performance
- Identify operational bottlenecks and contribute to continuous improvement initiatives
- Engage in architectural reviews and provide input to enhance system performance, reliability, and security
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience/certifications)
- Minimum 2 years as a DevOps Engineer or similar role, with 2+ years in an SRE or equivalent engineering role
- At least 3 years of experience managing and supporting production cloud environments (AWS, Azure, or GCP)
- Hands-on experience with Infrastructure-as-Code and configuration management tools such as Terraform, CloudFormation, or Ansible
- Proficiency in containerization and orchestration technologies (Docker, Kubernetes)
- Experience building and optimizing CI/CD pipelines with tools such as CircleCI, Jenkins, TeamCity, or GitHub Actions
- Strong automation mindset focused on scalability, reliability, and operational efficiency
- Collaborative approach, able to work effectively with cross-functional teams and stakeholders
- Experience with monitoring platforms such as DataDog, including APM, RUM, Synthetic Monitoring, Infrastructure Monitoring, and Dashboard development
- Familiarity with Agile development environments and DevOps best practices
- Strong problem-solving, organizational, and communication skills
- Experience supporting remote-first, distributed engineering teams
- Full healthcare coverage including medical, dental, and vision
- Supplemental benefits including STD, LTD, HSA, 401(k), and more
- Paid time off (PTO) and holiday pay
- Opportunities for professional growth, career development, and learning
- Remote-friendly work environment with flexible scheduling
- Performance-based bonus eligibility (up to 10% annually)
- Inclusive and collaborative culture supporting innovation and teamwork
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job's core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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