DevOps Engineer

• Build and lead a high-performing SRE team, including hiring, coaching, performance management, career development, and succession planning
• Own the SRE strategy and execution roadmap, translating platform and business priorities into measurable reliability, release, automation, and scalability improvements
• Lead architecture and code reviews, complex troubleshooting, automation, and tooling decisions
• Develop reusable AWS infrastructure-as-code patterns, environment configurations, automated provisioning, and recovery capabilities
• Improve Kafka reliability and event-processing performance, including partitioning, consumer groups, schema evolution, delivery semantics, replay, and failure recovery
• Strengthen PostgreSQL performance and resilience through schema design, indexing, query optimization, transaction management, connection pooling, migrations, and recovery testing
• Lead release engineering and deployment readiness by improving CI/CD, automated testing, security checks, artifact traceability, production validation, and rollback or roll-forward patterns
• Define service-level indicators, service-level objectives, and error-budget practices; use metrics, logs, and distributed traces to improve service health
• Reduce operational toil through reusable tooling, self-service capabilities, and controlled remediation
• Enable responsible AI adoption in code and test development, infrastructure review, knowledge retrieval, and incident investigation
• Coordinate complex incident response, communicate impact and recovery progress, conduct blameless reviews, and drive corrective actions
• Validate capacity, failover, backup restoration, and disaster recovery against agreed objectives
• Influence senior stakeholders on technical risk, investment trade-offs, production readiness, secure delivery, and reliable service operation

Global Manager – Site Reliability Engineering

• Support and maintain scalable, highly available, and secure cloud infrastructure
• Provision and manage cloud resources using Infrastructure as Code
• Implement cloud security best practices, IAM and role-based access controls, encryption, vulnerability management, and secure infrastructure configurations
• Support containerized environments and orchestration platforms
• Apply DevSecOps principles across infrastructure and deployment workflows
• Participate in disaster recovery planning, testing, and recovery activities
• Maintain and optimize CI/CD pipelines supporting application and ML model deployments
• Improve deployment reliability and support zero-downtime deployment strategies
• Automate configuration management, infrastructure provisioning, and routine operational processes
• Troubleshoot deployment and pipeline issues and prevent recurrence
• Develop scripts and automation to reduce manual work
• Design, deploy, operate, and secure infrastructure supporting AI and agentic products
• Operate and scale ML platform infrastructure, including Databricks clusters, jobs compute, ML pipelines, and Model Serving endpoints
• Manage production model-serving infrastructure, compute capacity, provisioned throughput, and autoscaling
• Monitor model drift, data quality, inference performance, and serving health
• Maintain monitoring, logging, metrics, and alerting using Prometheus, Grafana, Coralogix, and CloudWatch
• Support incident response and perform Root Cause Analysis for infrastructure and deployment issues
• Partner with Software Engineers, ML Engineers, QA, Software Engineers in Test, IT Security, and Product Support
• Respond to engineering and Product Support requests
• Maintain accurate internal technical and operational documentation
• Collaborate with international teams across multiple time zones

DevOps Engineer, AI/ML Infrastructure

• Own Maintenance and Reliability and associated processes for the Yerkes Site in Tonawanda, NY
• Lead the facility maintenance strategy and implement and execute Maintenance Work Management Processes
• Manage functional and administrative goals and establish and work within budget expectations
• Develop future talent and provide functional direction to maintenance activity coordinators, planners, schedulers, coordinators, and maintenance and reliability engineers
• Lead proactive maintenance objectives and shared asset management
• Deliver safety, reliability, and maintenance cost optimization results
• Ensure maintenance standard work supports MRO improvement, PM optimization, and strategic planning
• Lead preventive, predictive, and condition-based maintenance programs, asset health management, equipment maintenance strategies, and continuous improvement initiatives
• Support ultrasound, infrared, and vibration programs
• Oversee reliability performance, maintenance effectiveness, metrics, reviews, deep drills, and improvement plans
• Implement and align the Maintain Facility Work Process with business needs
• Ensure maintenance procedures include hazard assessments and safety, health, and environmental control measures
• Manage maintenance staffing, resourcing for capital and improvement projects, employee development, deployment, and compensation within the span of control
• Develop Maintenance Engineers for future project, technical, and leadership roles
• Analyze and audit work process results and maintain unit reliability metrics
• Coordinate teams and resources for significant opportunities
• Drive Management of Change for value-added improvements
• Measure individual performance against work-process expectations and technology utilization
• Optimize interfaces with other work processes and participate in maintenance leadership teams

Maintenance and Reliability Site Leader

• Design, build, and operate resilient, self-healing infrastructure across the AWS-based platform
• Own incident response end-to-end, including detection, mitigation, root-cause investigation, and postmortems
• Design and run disaster-recovery and failover exercises with RTO/RPO targets
• Build observability using SLIs, SLOs, and trusted alerting
• Build and maintain CI/CD pipelines and infrastructure as code using Terraform and GitOps
• Work hands-on in Kubernetes below the abstraction layer
• Partner with the platform lead on production ownership and on-call responsibilities
• Shape the infrastructure security and compliance posture for HIPAA and SOC 2 Type 2

Senior Site Reliability Engineer

• Design, build, and maintain scalable AWS infrastructure using Infrastructure as Code tools such as Terraform or AWS CloudFormation
• Develop and manage CI/CD pipelines using AWS services or third-party tools
• Operate and optimize containerized and serverless workloads using EKS, ECS, Lambda, and Fargate
• Monitor, log, and troubleshoot systems using Amazon CloudWatch, AWS X-Ray, and related observability tools
• Implement AWS security best practices, including IAM, VPCs, security groups, and secrets management
• Automate infrastructure operations, scaling, and maintenance using scripting and AWS-native automation services
• Lead incident response and post-incident reviews to improve reliability, performance, and cost optimization
• Identify, troubleshoot, and resolve software defects
• Contribute to and enhance QA automation
• Support additional infrastructure, platform, and operational efforts as needed
• Collaborate with Engineering and QA teams on automated testing, issue resolution, and new features

Software Engineer – DevOps

• Provision and manage Clarus workload-specific Azure resources, including compute, storage, PaaS services, Key Vault, and managed identities
• Author, test, review, version, and maintain reusable Terraform IaC modules
• Build, maintain, and support Azure DevOps YAML CI/CD pipelines, templates, deployment stages, approvals, and quality gates
• Troubleshoot failed builds, blocked releases, service connections, agent pools, packages, artifacts, container deployments, and rollbacks
• Manage secure deployment integrations, credentials, secrets, artifact feeds, registries, and least-privilege access
• Scaffold and manage landing-zone structures, subscriptions, resource groups, RBAC, tagging, Azure Policy, and environment alignment
• Integrate workload resources with shared network services, including private endpoints, VNet integration, DNS, firewall requests, and connectivity validation
• Maintain environment parity, governance compliance, cost tagging, quota management, secure defaults, runbooks, and release support procedures
• Support DevSecOps controls including security checks, SAST, dependency scanning, infrastructure validation, branch policies, pull-request checks, and audit evidence
• Monitor resource health, cost, and compliance; contribute to dashboards, alerting, incident troubleshooting, and cost optimization
• Deliver or improve CI/CD pipelines and IaC updates during the first 90 days
• Establish a support runbook for infrastructure and pipeline requests

• Design and maintain CI/CD pipelines supporting automated testing, deployment, and change management across CDP, data lake, marketing cloud, and migration workstreams
• Provision and manage AWS environments including S3 buckets, Glue jobs, networking, IAM, and VPCs for non-production development and staging
• Ensure environments are logically segregated with no public internet access per SOW requirements
• Implement and enforce infrastructure as code using AWS CDK or Terraform
• Manage the MLOps lifecycle on Amazon SageMaker, including model versioning, deployment automation, endpoint monitoring, and automated retraining triggers
• Support Amazon Bedrock integration deployments by managing prompt versioning, model configuration, and API endpoint reliability
• Implement and maintain data lake security infrastructure using AWS Lake Formation, including row-level security, column-level encryption, and IAM permission boundaries
• Support Azure-to-AWS migration execution, including target environment provisioning, AWS DataSync jobs, cutover procedures, freeze periods, and rollback plans
• Monitor pipeline health, data job execution, and ML endpoint performance across AWS Glue, Step Functions, Lambda, Kinesis, and SageMaker using CloudWatch and AWS-native observability tools
• Implement AWS cost optimization practices and provide guidance on Azure resource decommissioning post-migration
• Coordinate change management processes, including documenting changes, obtaining approvals, executing peer-reviewed deployments, and maintaining rollback procedures
• Collaborate with Data/ML and Full Stack engineers across data pipelines, ML inference, and application layers
• Contribute to operations runbooks, deployment guides, and infrastructure documentation

DevOps Engineer jobs in New York