The Role
Build and operate secure, reliable, and cost-efficient cloud infrastructure across AWS, GCP, Kubernetes, and on-premise environments. Provision infrastructure with Terraform and Ansible, manage CI/CD and GitOps delivery, improve observability, automate operational workflows, support databases and messaging systems, and apply security controls such as least-privilege IAM and network policies. Participate in incident response, on-call support, postmortems, and reliability improvements while using AI-assisted engineering responsibly.
Summary Generated by Built In
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.
Skills Required
- 2 to 4 years of hands-on CloudOps, DevOps, or Platform Engineering experience on production systems
- Strong hands-on AWS experience and infrastructure troubleshooting ability
- Practical Terraform experience with modules, remote state, workspaces, and safe change planning
- Production Kubernetes experience, including workload deployment and troubleshooting, with Helm familiarity
- Solid Linux and networking fundamentals
- Ability to write and debug scripts or tools in Bash, Python, or Go
- Experience with source control, CI/CD, GitOps, and observability
- Experience with GitHub Actions, ArgoCD, Prometheus, Grafana, and Loki, or comparable tools
- Demonstrated delivery of an infrastructure improvement or automation from problem definition through rollout and verification
- Ability to leverage AI to build high-quality systems and governance frameworks
- Practical proficiency with AI-assisted engineering, including validation of generated changes and handling unsafe output
- 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 systems
- Cloud migrations, multi-cloud operations, or on-premise Kubernetes experience
- System design experience covering high availability, scalability, and disaster recovery
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The Company
What We Do
GoComet is an AI-powered transportation and freight-management platform for global logistics. It helps enterprises, shippers, freight forwarders, and other supply-chain participants digitize and coordinate cross-border trade workflows in one system. Its capabilities include multimodal shipment tracking, freight procurement, shipment orchestration, invoice reconciliation, workflow automation, and real-time visibility, enabling more efficient, connected, and transparent logistics operations across complex international supply chains.
