About Us
Skit.ai is the leading Conversational Voice AI solution provider in the ARM industry, empowering collection agencies to streamline and accelerate revenue recovery. Skit.ai is empowering debt collection agencies across the U.S. with automated, intelligent, and effective consumer conversations at scale by automating a million debt collection calls per week. Leveraging proprietary technology and in-depth domain expertise, the Voice AI solution has the ability to solve all the core challenges faced by debt collection agencies.
Skit.ai has been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation and was awarded Disruptive Technology of the Year 2022 by CCW, Stevie Bronze Winner 2022 by The International Business Awards, Gold Globee CEO Awards 2022, Startup of the Year in Artificial Intelligence 2021 by Entrepreneur India, further underscoring its market dominance and unparalleled expertise. Skit.ai is headquartered in New York City, NY, and Bengaluru, India.
Job Title: DevOps Engineer
Location: Bangalore (Onsite)
Work Type: Full-time
Responsibilities
- Own and improve Infrastructure across deployment types & customer environments -- Enterprise Cloud, Hybrid & On-premise.
- Automate & set up processes around Infrastructure provisioning, configuration, application deployment, monitoring and troubleshooting.
- Ensure best practices through automation, infrastructure as code, robust system monitoring, alerting, auto-scaling etc.
- Define, measure and improve the reliability & security of our systems by collaborating with relevant Product & Tech stakeholders.
- Handle clients facing escalations and incidents.
- Provide Level 1 technical support to address incidents & escalations as part of the 24x7x365 staffing assignment (on-call).
Requirements
- Proven ability to handle incidents & escalations of complex technical issues by communicating status updates along with RCA to the external and internal stakeholders.
- Proven ability to work with at least one cloud platform (eg. GCP, Azure, AWS)
- Ability to work with Kubernetes and deploy highly reliable distributed systems
- Good communicator
Qualifications
- Bachelor's degree in Engineering, preferably Computer Science.
- Having a Certified Kubernetes Administrator (CKA) is a plus.
- Having an AWS Cloud-certified Architect is a plus.
- Having an RHCE or RHCSA certification is a plus.
Experience
- Professional experience of 1-3 years.
- 1+ years of hands-on experience managing Kubernetes Clusters
- 1+ years of hands-on experience working with at least one cloud platform (eg. GCP, AWS, Azure)
Preferred Requirements
- Previous experience working in Enterprise SaaS is a plus.
- Previous experience of working in an early stage startup is a plus.
Technical
- Understanding of AWS Cloud, using them to effectively build infrastructure.
- Experience working with container orchestration platforms (Kubernetes & Docker)
- Experience working with Unix/Linux environments with a deep grasp on system internals.
- Experience with Configuration Management Systems like Terraform, Ansible etc.
- Experience working with monitoring tools (Prometheus, Loki, Grafana) and Database technologies (PostgreSQL).
- Validated breadth of understanding and development of solutions based on multiple technologies, including networking, cloud, database, and scripting languages.
