Senior Engineer - DevOps

Description :

Role Overview :

- Enforce standards for access control, backup, patching, security, and operational governance

- Collaborate with backend and Automation teams on database operations, system reliability, and platform maintainability

- Support long-term cloud evolution while ensuring strong local and hybrid deployment capability

- Manage reliable infrastructure across local, hybrid, and cloud-connected environments (optional)

CI/CD & Release Engineering :

- Own CI/CD pipelines for platform services, edge agents, and solution deployment packages

- Standardize release versioning, rollback procedures, and deployment validation checklists

- Manage Docker-based containerized workloads; support Kubernetes orchestration where

applicable

- Improve deployment consistency, pipeline reliability, and environment parity across stages

- Reduce delivery time through automated build, test, and deployment pipelines

Automation & Platform Engineering :

- Drive automation of operational and deployment tasks using Python and Bash

- Build reusable deployment scripts, environment setup utilities, and internal DevOps accelerators

- Develop microservice-compatible deployment frameworks and integration tooling

- Leverage ML-assisted automation for anomaly detection, alert triaging, or deployment intelligence where applicable

- Improve developer productivity through self-service tooling, runbooks, and standard operating procedures

Project Delivery Management :

- Own end-to-end delivery planning for DevOps and infrastructure initiatives

- Define milestones, sprint goals, work packages, and delivery roadmaps

- Track progress, blockers, risks, and dependencies across parallel workstreams

- Coordinate timelines between software releases and field implementation schedules

- Drive delivery reviews, readiness checkpoints, and post-implementation reviews

Stakeholder & Vendor Coordination :

- Act as the delivery anchor across Engineering, Product, Customer Success, and Field teams

- Manage vendor and partner dependencies that affect delivery timelines

- Present project status, risks, and forecasts to engineering leadership clearly and consistently

- Ensure clear scope, ownership, and acceptance criteria for all major deliverables

IoT, Edge & Integration Support :

- Support deployment for gateways, protocol adapters, and edge-connected systems

- Work with Automation and integration teams handling controller protocols such as BACnet, Modbus connectivity

- Ensure reliable data flow between devices, local environments, and central platforms

- Coordinate with field teams during site commissioning and post-go-live stabilization

Monitoring, Security & Reliability :

- Implement observability across infrastructure using tool for example Prometheus, Grafana, ELK Stack, or equivalent stacks

- Embed security practices - SAST, secrets management, container scanning, access control - across pipelines

- Drive incident management, root-cause analysis, and runbook automation

- Maintain production readiness with structured escalation workflows and recovery procedures

Required Skills :

Domain :

Tools / Technologies :

Scripting & Automation :

- Python (advanced), Bash (advanced), REST API integration

CI/CD & Pipelines :

- GitHub Actions, Jenkins, GitLab CI, ArgoCD

Containers & Orchestration :

- Docker, Docker Compose, Kubernetes, Helm

- Prometheus, Grafana, ELK Stack, Alertmanager

Databases :

- PostgreSQL, MySQL, MongoDB,

ML / Intelligent Automation :

- ML pipeline integration, LLM-assisted tooling (advantageous)

Project Delivery :

- Jira, Azure DevOps, Agile/Scrum, Kanban, sprint tracking

IoT / Edge Protocols :

- MQTT, BACnet IP, Modbus TCP/IP (not mandatory)

Cloud (Preferred) :

- AWS / Azure / GCP working knowledge preferred

Experience Required :

- 8 - 10 years in DevOps, platform operations, automation engineering, or infrastructure engineering

- Strong hands-on Python and automation experience scripting, pipeline building, tooling development

- Proven delivery ownership of engineering projects milestones, stakeholder coordination, risk management

- Experience with Docker, Kubernetes, and microservices-based deployment environments

- Background in automation frameworks, REST API integration, or backend platform tooling is a strong plus

- Exposure to IoT, edge deployments, Automation, or industrial systems is highly advantageous

- Cloud knowledge preferred for long-term direction; hybrid and local deployment experience is essential

Qualifications :

- B.E. / B.Tech / M.Tech in Computer Science, Electronics, IT, or a related field

Key Performance Indicators :

- Deployment frequency and pipeline reliability

- Reduction in manual operational effort through automation

- Project delivery timeliness and milestone adherence

- Environment uptime and availability metrics

What Graylinx Offers :

- High-impact role shaping DevOps and delivery in a growing IoT and climate technology company

- Exposure to real-world building sustainability, edge intelligence, and connected system challenges

- Collaborative engineering culture that values automation, ownership, and continuous improvement

- Competitive compensation, hybrid flexibility, certification sponsorship, and professional growth