Job description
DevOps Engineer (Mid–Senior) – Job Description Location: Hyderabad Work Model: Onsite Type: Full-Time Experience: 3+ Years (Mid–Senior Level) Domain: Digital Adoption Platform (DAP) Team: Research & Development About Apty Apty is a Digital Adoption Platform (DAP) that operates directly within web applications to improve user productivity, enforce process compliance, and eliminate friction in complex enterprise workflows.
Technically, Apty sits in a unique layer: on top of third-party applications, requiring deep runtime integration, browser extensions, and a high-scale multi-tenant backend processing millions of user interactions. This is systems-heavy engineering, not standard infrastructure maintenance.
About the Role
We are looking for a highly hands-on Mid–Senior DevOps Engineer who can take strong ownership of our DevOps ecosystem and grow into owning it end-to-end. With a growing base of 2M+ active users, our platform requires high availability, real-time processing, and extreme scalability. This role is not about maintaining pipelines—it’s about: Architecting cloud-native distributed systems Scaling high-throughput analytics pipelines Building enterprise-grade SaaS and on-prem deployments Driving DevOps excellence across the company If you enjoy owning infrastructure like a product, this role will suit you well.
What You’ll Work On in Your First 90 Days Take ownership of our AWS infrastructure and CI/CD ecosystem Optimize and scale event ingestion pipelines Strengthen observability, alerting, and system reliability Improve deployment workflows across microservices, extensions, and frontend applications Contribute to architecture decisions for scaling to millions of users Start driving on-prem deployment standardization Requirements Key Responsibilities Cloud Infrastructure & Architecture (AWS) Architect and manage scalable infrastructure using AWS services Design and maintain a multi-tenant SaaS architecture Scale systems handling millions of real-time events Optimize performance, cost, and reliability DevOps & Automation Own and enhance CI/CD pipelines using GitHub Actions Build automated deployments for: Microservices Backend systems UI applications Browser extensions Implement Infrastructure-as-Code using Terraform Build and maintain Dockerized environments Improve release velocity while maintaining stability Monitoring, Security & Reliability Implement end-to-end observability across logs, metrics, and traces Set up alerting and incident-response systems Ensure: High availability Auto-scaling Disaster recovery Backup strategies Drive security best practices, including: Network isolation IAM policies CVE remediation Container security On-Prem Deployments Design and deliver on-premise versions of our SaaS platform Replicate cloud architecture in constrained enterprise environments Build automation for: Installation Upgrades Maintenance Collaborate with customers to customize deployments Collaboration & Leadership Work closely with Engineering, QA, and Product teams Share knowledge and support fellow engineers on DevOps practices Help drive best practices across teams Contribute to architecture and design decisions Act as a technical owner for DevOps initiatives Required Skills & Qualifications Core Expertise 3+ years in DevOps, with hands-on ownership of production systems Strong expertise in AWS, which is mandatory Hands-on experience with: Kubernetes (EKS) VPC, EC2, RDS, and Elasti.
Cache S3, Cloud. Front, and Route 53 API Gateway, Lambda, and Kinesis Click. House or similar columnar databases Docker and container orchestration Helm charts CI/CD & Infrastructure Strong experience with GitHub Actions Expertise in Terraform, which is mandatory Programming and Scripting Strong scripting skills in: Python Shell Node.
js Development experience is a strong advantage. Scalability & Distributed Systems Experience handling high-scale distributed systems Strong understanding of: Load balancing Caching strategies Event-driven architectures High-throughput pipelines On-Prem & Enterprise Systems Experience building SaaS-to-on-prem deployments Ability to automate complex enterprise setups Other Requirements Strong debugging and problem-solving skills Ownership mindset—drives problems end-to-end Excellent communication and collaboration skills Nice-to-Have Skills Experience with Digital Adoption Platforms or browser-based products Experience with monitoring tools such as: Grafana Prometheus Datadog Exposure to: SOC 2 ISO compliance environments What Makes You Stand Out You treat infrastructure as a product, not a support function You think in systems, trade-offs, and scale You can design from scratch, not just maintain You are comfortable handling high ambiguity and ownership You optimize for long-term reliability, not short-term fixes Interview Process Initial screening: 15 minutes Technical deep dive: 60 minutes DevOps/system design round: 60 minutes Leadership discussion: 30–45 minutes End-to-end timeline: Approximately two weeks Interested?
Contact: hr@apty.ai