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Open nowPosted 14 days ago

AI DevSecOps Engineer- II

Gocomet6 open roles

Where
Bangalore
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Your applicationOpen nowAI DevSecOps Engineer- IIGocomet · Bangalore

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The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Gocomet postings stay open a median of 1 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 14 days ago

Gocomet median: 1 days open

The posting

AI DevSecOps Engineer II

GoComet | Platform Engineering

Experience: 2 to 4 years

Location: Bangalore (onsite)

Department: Platform

Employment: Full-time

About GoComet

GoComet is a logistics and supply chain SaaS platform. Our Platform team runs the cloud

infrastructure, Kubernetes clusters, delivery pipelines and observability stack that engineering

teams ship on. We run primarily on AWS, with GCP as well, and are growing our multi-cloud and

on-prem footprint.

The Role

You will work under Ashish in a small Platform team, building and operating reliable, secure and

cost-efficient infrastructure. This is a hands-on role for someone who takes initiative, writes code

and follows work through to a verified result.

You will own scoped infrastructure and automation projects end to end: clarify the problem,

agree priorities and scope with Ashish, plan the work, implement and test changes, roll them out

safely and verify the outcome. You will coordinate with engineering teams, raise blockers early

and seek review for high-risk changes.

Key Responsibilities

● Provision and maintain AWS infrastructure using Terraform and configuration automation

such as Ansible.

● Build and manage Kubernetes clusters and workloads, including scaling, upgrades,

security hardening and Helm packaging.

● Improve CI/CD and GitOps delivery using GitHub Actions and ArgoCD, with reliable

deployment checks and rollback paths.

● Build observability through metrics, logs, dashboards, alerting and SLOs using

Prometheus, Grafana and Loki.

● Reduce repetitive work across provisioning, configuration, patching, backups and

runbooks. Build maintainable automation with error handling, tests, documentation and

safe recovery.

● Use AI-assisted tools to build, debug and improve scripts, infrastructure code and

operational workflows. Review and test generated changes, protect credentials and

production data, and retain human review for high-risk actions.

● Support data stores and messaging systems, including PostgreSQL, MongoDB, Redis

and queues. Participate in on-call, incident response and blameless postmortems, and

follow through on reliability improvements.

● Apply least-privilege IAM, secrets management and network policies. Monitor cloud cost

and resource usage, and implement improvements with verified impact.

Must Have Skills

● 2 to 4 years of hands-on CloudOps, DevOps or Platform engineering experience,

including work on production systems.

● Strong hands-on AWS experience and the ability to troubleshoot infrastructure issues.

● Practical Terraform experience, including modules, remote state, workspaces and safe

change planning.

● Production Kubernetes experience, including deploying and troubleshooting workloads;

familiarity with Helm packaging.

● Solid Linux and networking fundamentals, plus the ability to write and debug useful scripts

or tools in Bash, Python or Go.

● Experience with source control, CI/CD, GitOps and observability. We use GitHub Actions,

ArgoCD, Prometheus, Grafana and Loki; comparable tool experience is welcome.

● Demonstrated delivery of an infrastructure improvement or automation from problem

definition through rollout and verification.

● Leverages AI to build high quality systems and governance framework.

● Practical proficiency with AI-assisted engineering. You can explain a working script,

infrastructure change or workflow you built with AI, how you validated it and how you

handled incorrect or unsafe output.

Good to Have

● Ansible or similar configuration-management experience.

● GCP experience, including GKE, Cloud SQL, IAM and Secret Manager.

● Cloud and Kubernetes hardening, vulnerability scanning or compliance experience.

● Database operations, backups, replication or tuning for PostgreSQL and MongoDB.

ClickHouse or Redis; messaging experience with Kafka, RabbitMQ, SQS or similar.

● Cloud migrations, multi-cloud operations or on-prem Kubernetes experience with bare

metal, kubeadm, RKE or similar.

● System design experience covering high availability, scalability and disaster recovery.

What We Look For

● Ownership and initiative: you identify useful improvements, turn agreed priorities into

action and see work through without repeated follow-up.

● Strong judgment: you investigate before making changes, balance speed with reliability

and know when to ask for review or escalate.

● Clear communication and fast learning: you make progress visible, explain trade-offs and

blockers, and work effectively across a small team.

What Success Looks Like

You independently deliver agreed improvements, reduce repeated manual work, make

deployments safer and address recurring operational problems. You verify the effect through

relevant measures such as time saved, deployment reliability, incident recurrence or cloud cost.

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