Senior DevOps Platform Engineer
ApnaBengaluru, Karnataka, India • São Paulo, São Paulo, Brazil
Posted October 16, 2025
Full Time
About the Company
Founded in 2019, apna.co is India's Largest Early Talent Hiring platform connecting over 6 Cr+ job seekers, 7 Lakh+ employers across 900+ cities pan India Trusted by India's leading enterprises such as Teleperformance, Zomato, HDB Financial Services, Bluestar, TVS, Fusion, Alorica, Teamlease, Lifestyle, ShopperStop, CIELHR, Kotak, Paytm, Quess, Chola, Bajaj, TMI, Adecco, Axis Bank, Flipkart, Medplus, Zebronics, Lenskart, Apollo and more. We specialise in enterprise hiring solutions for sectors Retail, BFSI, BPO, Staffing, Hospitality, Healthcare, Education, Manufacturing, Energy, IT & more Backed by the best - Tiger Global, Sequoia Capital, Lightspeed, GSV Ventures, Rocketship, Insight Partners, Owl Ventures, Maverick Ventures & Greenoaks In addition, apna has also partnered with India's leading public & government organisations such as NSDC, Ministry of Defence, UNICEF Yuwaah, Ministry of Minority Affairs of India, to provide better skilling and job opportunities to candidates across the country. apna powers AICTE's career portal enabling over 3 Million students across 22,000 colleges in 2,500+ cities to find opportunities. Looking to explore hiring solutions for your enterprise, write to [email protected]
Job Description
We are seeking a passionate Senior DevOps Platform Engineer to join our Platform Engineering team, accelerating modernization efforts of our scalable, secure, and intelligent infrastructure platforms. This role involves next-gen cloud-native platform development, AI-powered automation, and building resilient systems.
Requirements
- 4–6 years of experience in DevOps, SRE or platform engineering roles with a software engineering mindset.
- Hands-on expertise in Kubernetes, Docker and service mesh architectures (Istio, Linkerd).
- Experience with CI/CD tools such as Jenkins, ArgoCD, Spinnaker or similar tools for automating and managing deployment workflows.
- Experience with observability stacks (Prometheus, Grafana, ELK, Loki or Datadog) for monitoring, logging and alerting.
- Good understanding of AIOps and ML-driven automation, including anomaly detection, intelligent alerting and predictive incident response
- Strong problem-solving and debugging skills, particularly in complex, production-grade distributed systems
- Expertise in Infrastructure as a Code (IaaC) using tools like Terraform or Pulumi and proficiency in configuration management with Ansible, Puppet or similar tools.
- Familiarity with event-driven architectures using tools like Kafka or cloud-native pub/sub messaging systems
- Good understanding of cloud cost optimization and efficiency practices through automation and resource management
Benefits
- Impactful infrastructure and DevOps challenges
- Building AI-enabled infrastructure
- Collaboration with architects and DevOps leaders
- Continuous learning and growth
