Company Background

Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.

Project Description

We are looking for a Cloud Infrastructure Engineer to help shape and deliver a modern cloud and hybrid IT strategy across Azure, AWS, and GCP. In this role, you will design scalable, secure, and cost-effective infrastructure that supports enterprise applications, hybrid connectivity, and next-generation data and AI/ML workloads.

Technologies

• Azure ecosystem
• Azure DevOps
• GCP / AWS
• Infrastructure as Code: Bicep
• Windows Server
• Microsoft SQL Server

What You'll Do

• Lead the assessment and modernization of enterprise cloud workloads, defining migration roadmaps across retain, re-platform, refactor, and retire scenarios;
• Design governed multi-cloud landing zones across Azure, AWS, and/or GCP, standardizing networking, identity, policy, and account/subscription topology through Terraform and Bicep;
• Establish cloud-agnostic infrastructure practices, reusable IaC modules, and automated provisioning standards to reduce manual operations and subscription sprawl;
• Govern identity and access across cloud platforms, SaaS applications, and CI/CD workloads using Microsoft Entra ID, conditional access, workload identity federation, and service principal controls;
• Architect secure hybrid and cross-cloud connectivity, including ExpressRoute, SD-WAN, traffic segmentation, and low-latency data transfer patterns;
• Implement zero-trust security controls for IT/OT boundaries, including inspected and policy-enforced traffic flows for SCADA, HMI, ICS, and enterprise systems;
• Design resilient, highly available cloud architectures with defined RTO/RPO targets and automated disaster recovery validation;
• Build platform services, CI/CD templates, and self-service infrastructure capabilities that enable internal teams to consume cloud services through documented standards and APIs;
• Implement governance, policy-as-code, and FinOps practices to enforce security, compliance, cost tagging, spend attribution, and cloud cost optimization;
• Support strategic modernization initiatives, including Kubernetes adoption, application containerization, database optimization, and reduction of Windows server licensing costs;

Job Requirements

• 7+ years of experience in cloud infrastructure engineering, with deep hands-on expertise in Microsoft Azure and production experience with at least two major cloud providers, such as Azure, AWS, or GCP;
• Strong experience with cloud networking, IAM, compute, IaaS/PaaS services, and Microsoft Entra ID / Azure AD, including conditional access, workload identity federation, SAML/SCIM, and service principal governance;
• Proven expertise in IaC using Terraform and/or Bicep, including governed landing zones, module registries, and cloud infrastructure migration;
• Hands-on experience designing and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, including pipeline-as-code, security scanning, and deployment gates;
• Solid understanding of zero-trust architecture, IT/OT boundary security, and industrial control environments such as SCADA, HMI, and ICS;
• Experience designing and validating disaster recovery architectures across regions and cloud providers, including RTO/RPO definition and automated failover testing;
• Familiarity with FinOps practices and tools, including cost tagging, spend attribution, showback/chargeback models, CloudHealth, CloudCor, or native cloud cost tools;
• Experience with policy-as-code frameworks such as Azure Policy, AWS SCPs, GCP Organization Policies, or Open Policy Agent;
• English level: B2 or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is an award-winning travel company that connects travelers with a nationwide network of independent travel advisors. The company combines innovative technology, personalized service, and strong supplier partnerships to deliver customized vacation experiences across cruises, resorts, tours, and more.

Project Description

The project focuses on rebuilding a proprietary agent-facing travel platform from the ground up using a modern, cloud-native architecture on Microsoft Azure. The new platform aims to improve performance, scalability, and usability while enabling faster feature delivery and seamless integrations. A key part of the initiative is migrating data from legacy systems to a new PostgreSQL-based architecture and ensuring high availability, security, and performance of critical data systems.

Technologies

• PostgreSQL
• Microsoft Azure
• SQL
• High Availability (Failover, Replication, Backup/Recovery)
• Database Security & Encryption
• CI/CD & DevOps

What You'll Do

• Administer and maintain Azure-managed PostgreSQL databases across environments
• Design scalable and efficient database schemas and architectures
• Monitor and optimize database performance (queries, indexing, execution plans)
• Implement and maintain backup and disaster recovery strategies
• Ensure database security, access control, and compliance
• Plan and execute data migrations from legacy systems
• Write and optimize complex SQL queries, procedures, and functions
• Collaborate with development teams on database design and query optimization
• Automate routine DBA tasks using scripting tools
• Troubleshoot and resolve database issues
• Maintain documentation (data models, ER diagrams, data dictionaries)
• Participate in on-call rotation

Job Requirements

• 5-8 years of experience as a Database Administrator
• Strong experience with PostgreSQL, including Azure-managed environments
• Expert-level SQL skills and query optimization
• Experience with high availability and disaster recovery solutions
• Strong experience with performance tuning and indexing strategies
• Understanding of database security, encryption, and compliance
• Experience with data migration from legacy systems
• Familiarity with database monitoring and performance tools
• Strong analytical and problem-solving skills
• Excellent communication skills
• Ability to work in a greenfield environment
• Strong experience in schema design
• English level: B1 (Intermediate) or higher

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a global leader in access solutions and smart home technologies. With over a decade of innovation in the IoT space, the company is a pioneer in connected home solutions, including garage door openers, gate systems, and smart access management tools. One of their flagship innovations is the platform, which allows users to control and monitor their home access systems through connected devices. The current focus is a mobile app designed to support and manage gated communities.

Project Description

AI platform is a modern, cloud-native, and device-integrated system supporting advanced computer vision, generative AI, and smart automation for access control and security. The platform is continuously evolving, with a strong focus on validation, automation, and scalability to support millions of IoT devices and next-generation smart home features.

Technologies

• Python
• FastAPI
• AWS
• Docker
• Kubernetes
• CI/CD
• LLM / Generative AI
• vLLM
• Kafka / RabbitMQ

What You'll Do

• Design and implement a rules engine platform as part of the AI microservices ecosystem;
• Collaborate with AI/ML engineers to integrate business logic and rule-based decisioning into the platform;
• Develop robust, maintainable, and scalable Python microservices;
• Ensure high code quality, test coverage, and adherence to best practices (PEP 8, code reviews, CI/CD);
• Work with containerization (Docker) and orchestration (Kubernetes) for deployment.

Job Requirements

• 4+ years of experience with Python;
• Experience building rules engines or similar business logic platforms;
• Experience with FastAPI or similar frameworks;
• Experience with Docker, Kubernetes, and CI/CD pipelines;
• Experience working with AWS (EKS, SQS, S3, EC2, MSK);
• Strong software engineering fundamentals and clean code practices;
• Basic experience with LLMs and tools like vLLM;
• Strong communication skills;
• English proficiency at B2 level or higher;

Nice to Have:

• Background in AI/ML platforms or agent frameworks;
• Familiarity with messaging systems (RabbitMQ, Kafka);
• Understanding of concurrent programming;
• Exposure to Amazon Bedrock;
• Familiarity with observability tools (OpenTelemetry, DataDog);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is the market leader in contact center robotic process automation (RPA). Its patented platform automates manual management processes in contact centers, helping enterprises reduce costs while improving agent engagement and customer experience. The platform powers over 1 billion automated actions annually and has delivered significant measurable ROI across industries such as financial services, telecommunications, insurance, and healthcare.

Project Description

The project focuses on deploying and managing a multi-tenant, namespace-isolated Kubernetes platform in a hosted AWS environment. You will design and implement secure, scalable tenant environments, automate deployments using GitOps, and ensure infrastructure reliability and compliance.

Technologies

• Kubernetes, Helm, Kustomize, GitOps (Argo CD, Flux), OpenTofu
• AWS (RDS, S3, KMS, IAM, Secrets Manager)
• NiFi, MariaDB, Flink, Dremio
• OpenTelemetry, Grafana, Jaeger/Tempo, ELK/Loki
• Service Mesh (Linkerd, Istio), OPA
• Bash, Python, PowerShell

What You'll Do

• Design and implement namespace-isolated tenant environments within shared Kubernetes clusters;
• Develop and maintain Helm charts with tenant-specific configurations;
• Build and manage GitOps-based CI/CD pipelines for per-tenant deployments;
• Integrate tenant workloads with backend systems (RDS/MariaDB, Flink, Dremio, S3);
• Implement compute isolation (node affinity, taints, tolerations);
• Apply security controls (RBAC, NetworkPolicies, OPA, service mesh);
• Ensure observability and monitoring using OpenTelemetry, Grafana, and centralized logging;
• Support secure deployment automation and rollback strategies;
• Collaborate with architecture and security teams on compliance validation;
• Participate in backend readiness efforts and transition from NiFi to microservices;

Job Requirements

• 5+ years of experience in DevOps, cloud infrastructure, or platform engineering;
• Strong hands-on experience with Kubernetes, including multi-tenant architecture and namespace management;
• Proficiency with Helm, Kustomize, and GitOps tools (Argo CD, Flux);
• Hands-on experience with AWS services (RDS, S3, IAM, KMS, Secrets Manager);
• Experience implementing secure CI/CD pipelines;
• Familiarity with backend/data systems (Flink, Dremio, MariaDB);
• Experience with NiFi (process groups, permissions, variable registries);
• Understanding of service mesh technologies and policy enforcement (OPA);
• Scripting experience (Bash, Python, PowerShell);
• Strong analytical and troubleshooting skills;
• Ability to work independently in fast-paced environments;
• Excellent collaboration and communication skills;
• English level: B2 or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

ABOUT THIS ROLE

As a Forward Deployed Engineer (AI) at OPAQUE Systems, you are the technical bridge between our enterprise customers and OPAQUE's confidential AI platform. You will work directly with customer engineering teams — from initial architecture review through production deployment — helping them install and deploy OPAQUE in their environment, and build AI solutions (agents / agentic workflows, RAG pipelines, LLM integrations) that run on OPAQUE's confidential AI platform.

This is a hands-on technical role. You will write code, run POCs, architect solutions, and own the customer's path from "interested" to "getting value." You will also be a critical signal source for the product team — the patterns you see in the field shape what OPAQUE builds next.

KEY RESPONSIBILITIES

• Develop custom AI / agentic solutions tailored to customer needs
• Lead technical discovery and architecture scoping with enterprise customers — translate vague AI / agentic aspirations into concrete implementation plans.
• Design and build production-grade solutions for agentic workflows, RAG pipelines, and LLM integrations on OPAQUE's platform.
• Partner with customer engineering teams through production deployment — unblock integration issues, debug failures, and ensure the solution is maintainable.
• Run technical whiteboard sessions, architecture reviews, and POC demonstrations with CTO, CISO, and engineering leader audiences.
• Synthesize field observations into product feedback — use case patterns, integration friction, objections, and feature gaps.
• Build reusable artifacts: integration guides, POC templates, architectural reference designs, and objection playbooks.
• Stay ahead of the AI landscape — agentic frameworks, RAG techniques, LLM capabilities, enterprise AI tooling.

QUALIFICATIONS

• 5+ years of software engineering experience working on production AI/ML systems
• Hands-on experience building agentic workflows: tool use, multi-agent orchestration, memory architecture, agent reliability patterns.
• Deep hands-on experience with RAG pipeline design: chunking strategies, embedding models, vector databases, retrieval quality evaluation, re-ranking.
• Strong Python skills; experience with AI frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, or similar).
• Experience integrating with LLM APIs (OpenAI, Anthropic, Gemini) in enterprise production environments.
• Ability to work directly with enterprise customer teams — comfortable with executive-level technical conversations.
• Strong understanding of enterprise deployment constraints: IAM, data residency, network topology, compliance requirements (SOC 2, HIPAA, FedRAMP).
• Security-aware engineering mindset — understands trust boundaries, data flow, and why cryptographic attestation matters for regulated industries.
• Bonus: Experience with confidential computing, TEEs, or privacy-preserving AI.