POSITION- Devops Master
LOCATION - Bangalore/Hyderabad/Pune/Coimbatore
EXPERIENCE - 7+ years
ABOUT HASHEDIN
We are software engineers who solve business problems with a Product Mindset for leading global organizations.
By combining engineering talent with business insight, we build software and products that can create new enterprise value.
The secret to our success is a fast-paced learning environment, an extreme ownership spirit, and a fun culture.
WHY SHOULD YOU JOIN US?
With the agility of a start-up and the opportunities of an enterprise, every day at HashedIn, your work will make an impact that matters.
So, if you are a problem solver looking to thrive in a dynamic fun culture of inclusion, collaboration, and high performance – HashedIn is the place to be!
From learning to leadership, this is your chance to take your software engineering career to the next level.
So, what impact will you make?
Visit us @ https://hashedin.com
About the Role
As our DevOps Master, you're the technical manager of the DevOps Pod — accountable for client deliverables across platform, AI systems, and for the standards and accelerators the pod delivers with. You extend classic DevOps discipline (automation, CI/CD, IaC, observability) into the AI era — cloud and data migration, MLOps, agentic AI, and security — and lead,
Platform & cloud architecture : Design cloud-native platform (platform / golden paths). Architect complex, scalable, highly available, fault-tolerant solutions across AWS / Azure / GCP, delivered as infrastructure-as-code and guardrails.
Cloud migration automation & orchestration : Build a "migration factory" that makes workload migration repeatable and automated: discovery and wave planning, landing zones as code, automated cutover and rollback, then modernization, decommissioning, and cost optimization across on-prem, cloud-to-cloud, and hybrid workloads.
CI/CD & containers : Build and operate the delivery backbone: CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps), GitOps-driven deployment (ArgoCD/Flux), and progressive delivery. Run containerized workloads at scale on Kubernetes (EKS/AKS/GKE) with Helm and service mesh.
DevSecOps : Bake security into the platform, identity and access management, secrets management, network segmentation, data classification, encryption, and security logging. Embed shift-left scanning into CI/CD (SAST, DAST, SCA, IaC, container, and secrets scanning. Run threat modelling at design time, drive risk-based vulnerability management.
Data migration : Automate large-scale, zero-downtime data migrations (on-prem→cloud, cloud→cloud, database modernization) plus the pipelines and lakehouse infrastructure behind them — ETL/ELT (e.g., Airflow, dbt) and data lakes (e.g., Iceberg) as code, with validation, reconciliation, lineage, and governance.
Extend CI/CD into CI/CD/CT (continuous training): automated train→validate→deploy→retrain pipelines (e.g., Kubeflow, MLflow), model registries and feature stores, canary/shadow model serving, and production monitoring for drift, accuracy, latency, and cost on accelerator infrastructure you provision and cost-optimize.
AI agentic development — Develop MCP servers and agentic tools that turn DevOps capabilities (CI/CD, infra, Kubernetes, observability) into safe, callable actions, then build agents that plan and execute real DevOps work deployments, incident triage, root-cause analysis, and self-healing remediation — with permissioned access, human-in-the-loop guardrails, LLM evals, and token/cost monitoring.
Team leadership & engineering culture — Build, mentor, and grow lean delivery pods. Set the bar for technical rigor and automation, establish a security-champions model, and raise how engineering standards are defined, communicated, and adopted across teams.
What we’re looking for
7+ years — architecting, re-engineering, and operating complex, scalable, secure, fault-tolerant systems on AWS / Azure / GCP.
Deep hands-on DevOps engineering — you build and run the toolchain yourself: CI/CD, infrastructure-as-code, Kubernetes, cloud automation and the platform tooling and agents on top. Strong in Python (preferred), plus Go and/or Bash.
Proven migration experience — you’ve planned and automated real cloud workload migrations (landing zones, wave planning, automated cutover) and/or large-scale data migrations, not just greenfield builds.
AI-native DevOps mindset — AI is part of how you do DevOps: you build agentic DevOps tooling (MCP, agents that operate infra and pipelines), use AI to accelerate engineering, and run MLOps in production. AI-first thinking is the baseline, not a differentiator.
DevSecOps fluency — you’ve run threat models, stood up scanning and vulnerability management, and taken at least one organization through SOC 2 / HIPAA.
A platform mindset — a track record of building reusable patterns (paved roads, golden paths, self-serve guardrails), not one-off work that doesn’t scale.
Technical leadership — you’ve led, hired, and mentored small technical teams and set direction.
Strong communication — clear written and verbal communication, able to explain complex technical topics to any audience and align stakeholders across teams.
Partnership mindset — you partner across delivery pods, product, security, and data/AI teams, and you're the engineering voice in product and architecture conversations without becoming the blocker.
Education — B.E / B.Tech, MCA, or M.E / M.Tech
