SciSpace - Senior DevOps Engineer - Cloud Infrastructure
18 hours ago
Description :
AI Assistant for Research using state-of-the-art language models (ChatGPT for Research).
At SciSpace, we're using language models to automate and streamline research workflows from start to finish.
And the best part? We're already making waves in the industry, with a whopping 5 million users on board as of November 2025 Our users love us too, with a 40% MOM retention rate and 10% of them using our app more than once a week We're growing by more than 50% every month, all thanks to our awesome users spreading the word (see it yourself on Twitter).
And with almost weekly feature launches since our inception, we're constantly pushing the boundaries of what's possible.
Our team of experts in design, front-end, full-stack engineering, and machine learning is already in place, but we're always on the lookout for new talent to help us take things to the next level.
Our user base is super engaged and always eager to provide feedback, making Scispace one of the most advanced applications of language models out there.
We are seeking a highly motivated and experienced Senior DevOps Engineer to join our dynamic team.
You will be a key player in designing, building, and maintaining our scalable, secure, and highly available cloud infrastructure, ensuring seamless deployment and operation of our SaaS product.
This role is perfect for someone who thrives in a fast-paced startup environment, has a passion for automation, and loves to continuously improve systems and processes.
Responsibilities :
- CI/CD Pipeline Mastery : Lead the development, maintenance, and continuous improvement of CI/CD pipelines (e.g., Github Actions, ArgoCD) to ensure rapid, reliable, and automated software delivery.
- Containerization & Orchestration : Implement and manage container technologies like Docker and orchestration platforms like Kubernetes to deploy and scale microservices efficiently.
- Monitoring & Alerting Systems : Establish and maintain comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, Cloudwatch) to ensure system health, performance, and proactive issue detection.
- Security & Compliance : Implement and enforce security best practices across the infrastructure, including IAM policies and vulnerability management.
- Automation & Scripting : Develop custom automation scripts using languages like Python, Bash to streamline operational tasks and promote an "automate everything" mindset.
- Collaboration & Mentorship : Work closely with Engineering, QA, and Product teams, provide operational expertise, and mentor junior engineers, contributing to a culture of knowledge sharing.
- Problem Solving & Optimization : Proactively identify and resolve infrastructure and deployment issues, conduct root cause analysis, and continuously evaluate new technologies to enhance platform reliability and performance.
Our ideal candidates would :
- Strong hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
- Strong proficiency with Git and GitHub.
- Expertise in Infrastructure as Code (IaC) tools like Terraform.
- Proven experience with CI/CD tools (e.g., Jenkins, GitHub Actions, ArgoCD).
- Solid understanding and practical experience with containerization (Docker) and container orchestration (Kubernetes).
- Proficiency in scripting languages (Python, Bash).
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana, OpenTelemetry).
- Strong understanding of networking concepts (TCP/IP, DNS, VPNs, Load Balancers, Firewalls).
- Familiarity with database administration (SQL and/or NoSQL databases).
- Excellent problem-solving, analytical, and troubleshooting skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively across teams.
- A proactive mindset with a strong commitment to continuous improvement and learning.
Bonus :
- Experience in a compliance-driven environment (e.g., SOC 2 Type II).
- Prior experience as a software developer or strong coding skills in a compiled language.
- Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, Certified Kubernetes Administrator (CKA)).
- Experience scaling infrastructure for rapidly growing businesses.
- Experience working with Start-up is a plus point.
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