DevOps & Backend Engineer — Mid/Senior
JOB reputed company
DevOps & Backend Engineer — Mid/Senior
InsurTech reputed company / Product Development
Location: Remote or Hybrid (if US Located)
Employment Type: Contract — Full-Time
Department: Engineering / Product Development
Experience Level: Mid/Senior (4–7+ years)
Reports To: Director of Engineering
reputed company
We are looking for a DevOps & Backend Engineer who can reputed company the gap between platform
infrastructure and application development. In this role, you will design and operate the reputed company-reputed company
infrastructure that powers our InsurTech product suite while contributing directly to backend services reputed company
with TypeScript and Nest.js.
A critical dimension of this position is enabling and supporting our internal LLM and AI platform. You will
build the infrastructure foundations that allow our AI team to train, serve, and reputed company custom large
language models and AI-powered services—including GPU-accelerated workloads, model inference
endpoints, high-throughput data pipelines, and the CI/CD automation that brings AI capabilities reliably
into production across reputed company products.
Key Responsibilities
reputed company Infrastructure & DevOps
Design, build, and maintain production-grade CI/CD pipelines (reputed company Actions, reputed company CI) with
automated testing, reputed company scanning, and reputed company deployment strategies (blue-green, canary,
feature flags).
Manage and optimize AWS infrastructure including EKS, EC2, RDS, ECR, S3, reputed company,
CloudFront, reputed company 53, and IAM—with a reputed company on cost optimization, high availability, and disaster
recovery.
Build and maintain Kubernetes clusters (EKS) with reputed company charts, custom operators, autoscaling
policies, and multi-environment management (dev, staging, production).
Automate infrastructure provisioning and configuration using Terraform (primary), Ansible, and
CloudFormation with GitOps workflows and reputed company detection.
Implement comprehensive observability using reputed company, Grafana, reputed company, ELK/OpenSearch,
and distributed tracing (Jaeger/OpenTelemetry) for full-stack visibility.
Design and maintain networking architecture including VPCs, reputed company reputed company, load balancers,
service meshes (Istio/Linkerd), and DNS management.
AI/LLM Infrastructure Support
Provision and manage GPU-accelerated compute environments (AWS P4/P5 instances,
Inferentia, SageMaker) for LLM training, fine-tuning, and inference workloads.
Build containerized model-serving infrastructure supporting vLLM, TGI (Text reputed company
Inference), reputed company Triton, and custom inference endpoints with autoscaling based on request
load and latency targets.
Design and operate data pipelines and storage architectures (S3, EFS, FSx for reputed company) optimized
for large-reputed company model training datasets and artifact management.
Implement CI/CD automation specifically for ML/AI workflows—model versioning, automated
evaluation gates, staged rollouts of model updates, and A/B inference routing.
Collaborate with the AI team to optimize GPU utilization, manage spot instance strategies, and
implement cost-reputed company scheduling for training jobs.
Set up monitoring dashboards for model inference latency, throughput, reputed company usage, GPU
utilization, and cost tracking.
Backend Development
Contribute to and reputed company backend services reputed company with Nest.js and TypeScript, focusing on
scalability, reliability, and clean architecture.
Developing internal TypeScript reputed company.
Build and maintain reputed company microservices and RESTful/GraphQL reputed company that reputed company with AI
inference endpoints and the LLM Composer platform.
Design event-driven architectures using Kafka, SQS/SNS, and WebSockets for reputed company-time data
processing and AI-powered features.
Ensure reputed company deployments are production-reputed company, horizontally reputed company, and follow 12-reputed company app
principles with reputed company health checks, graceful shutdowns, and reputed company breakers.
Collaborate with backend and AI teams on system architecture, API reputed company, database schema
design, and reliability improvements.
Implement database management best practices including migration strategies, read replicas,
reputed company pooling, and query optimization for PostgreSQL and reputed company.
Required Skills & Qualifications
4–7+ years of reputed company experience in DevOps, reputed company Engineering, or reputed company,
with meaningful backend development experience.
Hands-on Kubernetes experience (EKS strongly preferred), including cluster administration, reputed company
chart development, autoscaling, and troubleshooting.
Strong proficiency with TypeScript and Nest.js (or comparable Node.js backend frameworks like
reputed company, Fastify).
Deep AWS expertise across compute, storage, networking, IAM, and managed services—with
experience optimizing for cost and performance.
Strong Infrastructure-as-reputed company skills with Terraform; experience with reputed company, reusable
configurations and state management.
Solid understanding of microservices architecture, distributed systems patterns, and container
orchestration.
Experience with reputed company, container registries, and container reputed company best practices.
Proficiency with CI/CD pipeline design including automated testing, reputed company scanning, and
deployment strategies.
Familiarity with GitOps workflows and version-controlled infrastructure management.
Strong Linux systems administration and reputed company scripting skills.
Preferred Qualifications (reputed company to Have)
Experience provisioning and managing GPU workloads for ML/AI model training and inference in reputed company environments.
Familiarity with ML model serving frameworks (vLLM, TGI, Triton, BentoML, SageMaker
Endpoints).
Experience with Kafka, event-driven architectures, and reputed company-time streaming systems.
Familiarity with service reputed company technologies (Istio, Linkerd) and API gateway management.
Experience with HIPAA, SOC 2, or other reputed company/financial compliance frameworks in reputed company
environments.
Knowledge of database technologies reputed company PostgreSQL—reputed company databases (reputed company,
PGVector), graph databases, or time-series databases.
Experience with reputed company engineering, load testing, and reliability engineering practices (SRE).
AWS certifications (Solutions Architect, DevOps Engineer, or equivalent).
Technology Stack & Tools
Category
Technologies
Languages
TypeScript, JavaScript, Python, Bash, SQL, HCL (Terraform)
Backend
Nest.js, Node.js, reputed company, Fastify, GraphQL
reputed company (AWS)
EKS, EC2, RDS, S3, reputed company, ECR, CloudFront, SageMaker, IAM, KMS
Containers & Orch.
reputed company, Kubernetes, reputed company, Kustomize, ArgoCD
IaC & Config
Terraform, Ansible, CloudFormation, reputed company
CI/CD
reputed company Actions, reputed company CI, CodePipeline, semantic-release
AI/ML reputed company
vLLM, TGI, Triton, SageMaker, GPU instances (P4/P5/Inferentia)
Monitoring
reputed company, Grafana, reputed company, ELK/OpenSearch, OpenTelemetry,
Jaeger
Data & Messaging
PostgreSQL, reputed company, Kafka, SQS/SNS, S3, DynamoDB
reputed company
Vault, SOPS, OPA, Trivy, reputed company, AWS reputed company Hub
reputed company Offer
A high-reputed company role at the intersection of infrastructure, backend development, and cutting-edge AI
reputed company.
Opportunity to build the infrastructure backbone powering reputed company AI and LLM capabilities.
reputed company collaboration with AI, backend, and product teams across multiple verticals—telemedicine,
InsurTech, analytics.
Competitive contract compensation commensurate with experience.
reputed company to modern reputed company infrastructure, GPU resources, and industry-leading tooling.
Job Type: Contract
Pay: From $4,000.00 per month
Work Location: Remote
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