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.
