GCP Infrastructure Engineer Job at Wissen (Bangalore South)

Cloud Infrastructure Engineer (GCP)

We are looking for a Cloud Infrastructure Engineer (GCP) to design, implement, a...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

5–8 years of experience in cloud technologies, specialising in GCP
Expertise in GCP services such as VPC, Compute, GCS, Cloud Run, Load Balancing, IAM
Strong proficiency in Terraform for infrastructure automation
Knowledge of cloud security best practices
Experience in landing zone setup and GCP organisational structures
Scripting skills in Shell and Python
Degree in Information Technology or related field

Job Responsibility

Manage integration projects and day-to-day administration of GCP cloud solutions
Design and build modules and solutions for cloud platforms in an agile environment
Develop prototypes and optimise business outcomes through iterative development
Conduct peer reviews and maintain coding standards
Automate cloud solution deployment and integration activities
Build and deploy GCP infrastructure using Terraform and scripting tools (Shell/Python)
Provide technical consultancy for migrating on-premises applications to GCP
Design and deploy secure network connectivity between GCP and data centres

Infrastructure Engineer – DevSecOps, Compliance & Cloud

We are seeking an Infrastructure Engineer (DevSecOps & Compliance) to build and ...

Location

India , Hyderabad

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

6+ years of experience in Infrastructure, DevOps, or Cloud Engineering
Hands-on expertise with AWS/Azure/GCP, Docker/Kubernetes, and Terraform
Strong knowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CI, or Azure DevOps
Familiarity with security automation and DevSecOps toolchains (Checkov, Trivy, Aqua, Snyk, OPA)
Experience implementing network and endpoint hardening, least-privilege IAM, and secret management
Understanding of compliance frameworks (CRA, NIS2, ISO 27001, SOC 2)
Excellent scripting ability (Python, Bash, PowerShell, or Go)

Job Responsibility

Design, deploy, and manage secure CI/CD pipelines for multi-platform software development
Implement infrastructure-as-code (IaC) using Terraform, Ansible, or Pulumi with compliance guardrails
Integrate security scanners (SAST, SCA, DAST, IaC) into pipelines for continuous compliance
Manage SBOM generation, artifact signing, and supply chain security automation
Monitor and harden cloud workloads, containers, and Kubernetes clusters against vulnerabilities
Establish observability frameworks (logging, monitoring, alerting) with compliance tagging
Collaborate with auditors to provide infrastructure evidence for CRA, ISO 27001, and SOC 2 certifications
Maintain compliance documentation (architecture, controls, and change logs)

Fulltime

Senior Infrastructure Engineer II

We’re looking for an Infrastructure Engineer with GCP, Azure, or AWS expertise t...

Location

India

Salary:

Not provided

dbt Labs

Expiration Date

Until further notice

Requirements

Experience with the clouds, tools, and languages in our stack, especially: AWS\Azure\GCP, Terraform, Kubernetes, Python, and Bash
Solid experience with declarative Infrastructure as Code - ideally with Terraform or a willingness to learn while leveraging your CloudFormation or ARM\Bicep background
Love to automate tasks
Worked asynchronously as part of a fully-remote, distributed team - and have excellent communication and writing skills

Job Responsibility

Design, operate, and support infrastructure systems with parity across tenancy models (single vs multi) and public clouds (AWS, Azure, and GCP) - and work with engineering teams to get their services consistently deployed to those environments
Bring cloud infrastructure expertise to the team, helping us strengthen and scale our infrastructure as we expand dbt Cloud’s multi-cloud capabilities
Help create a great developer experience while working with our close partners in Architecture, Release Engineering, Product Engineering and Security
Leverage tools and languages such as Terraform, Kubernetes, Python, Bash, Helm, ArgoCD, Go, and DataDog
Design and build automation to eliminate manual toil and streamline infrastructure operations at scale
Identify and implement infrastructure optimizations that reduce cloud spend without sacrificing reliability
Participate in a balanced on-call rotation in an environment that values continuous improvement, and help to upgrade our tooling and reduce toil

What we offer

RSUs or comparable benefits may be offered depending on the legal or country limitations

Sr. Cloud Infrastructure Engineer (Ai & Llm Platforms)

We are seeking a specialized Infrastructure Engineer to bridge the gap between o...

Location

Salary:

Not provided

Q6 Cyber

Expiration Date

Until further notice

Requirements

5+ years of experience in DevOps, Platform Engineering, or SRE, with at least 1-2 years specifically focused on AI/ML infrastructure
Proven track record of building production-grade RAG pipelines or LLM-integrated applications
Thrives in 'day zero' environments where the tools and protocols (like MCP) are evolving weekly
Deep understanding of the security implications of LLMs (prompt injection, data leakage, and secure tool execution)
Experience working with substantial datasets (over 1bn objects, dozens or hundreds of TBs) and the challenges of leveraging AI tools with these data sets
Bachelor's degree or equivalent in computer science or related field
Cloud & Orchestration: AWS/GCP/Azure, Kubernetes, Terraform, Helm
AI Frameworks: LangChain, LlamaIndex, LangGraph
Data & Vectors: Pinecone, Milvus, Qdrant, or pgvector
Apache Kafka/Pulsar

Job Responsibility

Guide the architecture that will allow us to leverage AI tools with our large existing data stores and incoming streams of realtime intelligence
Work closely with other infrastructure engineers and software development teams to integrate AI tools into existing systems
Design, deploy, and maintain Model Context Protocol (MCP) servers to allow LLMs to securely interact with our internal databases, APIs, and external tooling
Build and orchestrate sandboxed, scalable environments (e.g., using Docker or specialized runtimes) where users can safely build and execute AI agents
Develop and manage the infrastructure for our internal RAG (Retrieval-Augmented Generation) pipeline, including vector database management (e.g., Pinecone, Weaviate, or pgvector) and automated embedding pipelines
Utilize Kubernetes (K8s) and Infrastructure as Code (Terraform/Pulumi) to deploy LLM-related tools, ensuring high availability and low latency for model inference and data retrieval
Implement strict guardrails for data privacy within LLM workflows, ensuring internal datasets remain secure while being accessible to authorized AI tools

What we offer

We offer a competitive compensation package and comprehensive benefits package

Fulltime

Kafka Infrastructure Engineer

We are seeking a highly skilled and motivated Senior Infrastructure Engineer to ...

Location

United States , Phoenix; Johnston; Iselin; Westwood; Plano

Salary:

125000.00 - 155000.00 USD / Year

Citizens Bank

Expiration Date

Until further notice

Requirements

7 or more years of experience in Kafka administration on-prem and cloud, messaging systems, and database integration
Proficiency with cloud platforms such as AWS, GCP, or Azure, event-driven architecture, DevOps, and containerization
Experience deploying Kafka clients and brokers in production and disaster recovery environments
Proven ability to scale Kafka clusters and connector infrastructure
Hands-on experience building real-time data pipelines using Kafka producers and Spark Streaming consumers
Familiarity with monitoring tools such as Splunk, Datadog, and Grafana
Strong knowledge of source control systems such as SVN and Git
Solid understanding of networking protocols, operating systems, and diagnostic tools
Proficiency in scripting languages such as PowerShell, Bash, Python, and Perl
Strong analytical and decision-making skills, even with limited information

Job Responsibility

Lead a team of engineers and technicians in monitoring, diagnosing, and resolving infrastructure issues using event-based management
Administer and troubleshoot Kafka clusters, including configuration and performance tuning
Integrate Kafka with various systems using connectors such as MQ, MongoDB, Oracle, SQL Server, PostgreSQL, and MySQL
Automate infrastructure setup across environments using Terraform
Provide senior-level support and troubleshooting across a wide range of technologies
Collaborate within agile teams to drive modern development practices and product vision
Serve as the primary point of contact for daily operations and incident management
Conduct proactive monitoring to identify and mitigate potential service disruptions
Document actions, create reports, and establish escalation procedures
Audit support tickets to identify patterns and reduce downtime

What we offer

Medical, dental and vision coverage
Retirement benefits
Maternity/paternity leave
Flexible work arrangements
Education reimbursement
Wellness programs

Fulltime

Cloud Engineer - GCP & Databricks

As a Cloud Engineer, you are passionate about experience innovation and eager to...

Location

India , Bengaluru

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

6+ years of hands-on professional experience in cloud data engineering or GCP platform roles
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
BigQuery with advanced SQL, partitioning, clustering, and cost optimization
Cloud Storage, Cloud Functions, Cloud Run
Dataflow (Apache Beam) for batch and streaming pipelines
Cloud Composer / Airflow for orchestration
Pub/Sub for event-driven architectures
Vertex AI exposure for model serving or pipelines
IAM, VPC, organization policies, and security governance
Terraform for infrastructure as code

Job Responsibility

Design GCP-native architectures using BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
Build and maintain batch and streaming data pipelines using medallion architecture (Bronze, Silver, Gold)
Implement infrastructure as code using Terraform
Manage deployments through CI/CD pipelines such as Cloud Build
Define and enforce GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and organization policies
Build end-to-end Databricks Lakehouse solutions on GCP
Design Delta Lake tables with proper governance using Unity Catalog
Develop and optimise PySpark and SQL workloads for large-scale transformations
Configure Databricks clusters, job scheduling, autoscaling, and cost controls
Implement Databricks Workflows and Asset Bundles for orchestration and CI/CD

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Senior DevOps / Voice Infrastructure Engineer

As we grow and take on exciting new challenges, we’re on the lookout for excepti...

Location

Salary:

Not provided

Mad Devs

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience with Asterisk or FreeSWITCH
Deep knowledge of SIP, RTP, SRTP protocols
Experience with SIP proxies — Kamailio or OpenSIPS
WebRTC integrations
Trunk configuration, dialplan design, codec negotiation
GCP and/or AWS hands-on experience (2+ years)
Kubernetes (GKE or EKS) in production environments
Terraform — custom modules, multi-environment setups
Docker, Docker Compose
CI/CD: GitHub Actions, ArgoCD / Flux

Job Responsibility

Design, deploy, and maintain SIP/VoIP infrastructure (Asterisk, FreeSWITCH, Kamailio) for AI Agents
Integrate voice platforms with cloud services (GCP, AWS) and internal AI pipelines
Ensure high availability and low latency of voice services (HA, load balancing, failover)
Manage cloud infrastructure via IaC (Terraform) and container orchestration in Kubernetes
Set up call quality monitoring (MOS, jitter, packet loss) and alerting with Grafana / Victoria Metrics
Build and optimize CI/CD pipelines (GitHub Actions, ArgoCD) for voice services
Harden voice infrastructure security: encryption (SRTP, TLS), toll fraud prevention, DoS protection
Integrate with PSTN/SIP trunk providers, manage DID numbers and call routing

What we offer

Flexible working hours
Remote-first culture
Long-term projects
Salary in dollars
Professional communities
Onsite business trips
Training budget
Paid conferences

Fulltime

Principal, Systems and Infrastructure Engineer, Information Security

Are you driven to design durable, scalable, and well-governed cloud platforms th...

Location

United States of America , Denver

Salary:

121000.00 - 242000.00 USD / Year

Walmart

Expiration Date

Until further notice

Requirements

Option 1: Bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 5years' experience in systems and infrastructure engineering or related area at a technology, retail, or data-driven company.
Option 2: 7 years' experience in systems and infrastructure engineering or related area at a technology, retail, or data-driven company.

Job Responsibility

Lead the migration and modernization of a large portfolio of applications and databases from AWS to GCP and Azure, ensuring reliability, security, and minimal disruption.
Design target-state architectures and migration patterns that balance scalability, resilience, cost, and operational simplicity.
Evaluate cloud-native services and guide architectural tradeoffs across AWS, GCP, and Azure.
Establish reference architectures, landing zone standards, and platform patterns used across the organization.
Architect, build, and maintain complex, reusable Infrastructure-as-Code solutions using Terraform and Terragrunt.
Develop Python and Bash automation to support infrastructure lifecycle management, migrations, governance, and operational workflows.
Drive consistency and quality through shared modules, versioning strategies, and code review standards.
Integrate IaC and automation into CI/CD pipelines using GitHub Actions and related tooling.
Drive containerization and platform adoption using Docker and Kubernetes, enabling scalable and resilient application deployments.
Design and maintain robust CI/CD pipelines that support fast, safe, and repeatable infrastructure and application delivery.

What we offer

Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
Live Better U education benefit program
Annual or quarterly performance bonuses
Stock

Fulltime

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GCP Infrastructure Engineer

Job Description

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