AI SRE / AI Ops engineer Job at Realign (Montreal)

Senior AI Engineer

We are seeking a Senior AI Engineer (L4, Individual Contributor) to design, buil...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
3+ years in AI/ML development
Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain)
Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems
Understanding of modern AI research (LLMs, diffusion models, transformers)
Experience deploying ML models in production with CI/CD
Strong analytical skills, ability to balance speed and rigor in experimentation
A passion for sustainability and the clean-energy mission
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments
Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment
Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements
Drive performance improvements in model accuracy, latency, and cost efficiency
Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform
Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Sre design & support engineer

We are looking for a self-driven, software engineering mindset SRE engineer to •...

Location

India , Hyderabad

Salary:

Not provided

Pepsico

Expiration Date

Until further notice

Requirements

8-11 years of work experience evolving to a SRE engineer
3-5 years of experience in continuously improving and transforming IT operations ways of working
Bachelor’s degree in Computer Science, Information Technology or a related field
Proven experience as an SRE in designing the events diagnostics, performance measures and alert solutions to meet the SLA/SLO/SLIs
The ideal Engineer will be highly quantitative, have great judgment, able to connect dots across ecosytems, and efficiently work cross-functionally across teams to ensure SRE orchestrating solutions are meeting customer/end-user expectations
The candidate will take a pragmatic approach resolving incidents, including the ability to systemically triangulate root causes and work effectively with external and internal teams to meet objectives
A strong expertise of SRE (Software Reliability Engineering) and IT Service Management (ITSM) processes with a track record for improving service offerings – pro-actively resolving incidents, providing a seamless customer/end-user experience and proactively identifying and mitigating areas of risk
Hands on experience in Python, SQL /No-SQl( MySQL, Mongo DB, Cassandra, Postgress), AppDynamics, ELK Stack Grafana, Splunk, Dynatrace, Kafka and any SRE Ops toolsets
A firm understanding of cloud archticture for distributed environments
Front-end technologies: HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js

Job Responsibility

Engage & influence product and engineering teams during the design and development phases to embed reliability and operability into new services defining & enforce events, logging, monitoring, and observability standards across applications
Ensuring non-functional requirements (NFRs) are embedded early including SLA/SLO/SLI and error budgets into the product’s offerings as part of the engineering solution
Execute as Pro-active SRE Support engineer, preventing P1, P2, potential P3s, diagnosing any anomalies prior to any user and driving the necessary remediations across the teams involved in end-to-end ecosystem availability, performance and consumption of the cloud architected application ecosystem leveraging SRE Orchestration solutions
Collaborates with Engineering & support teams, including participation in escalations, , and blameless postmortems,
Work closely with customer-facing support teams to empower them with SRE insights and tooling
Observe, diagnose & improve the end-2-end ecosystem performance of the Modern architected application portfolio i.e. technical “understanding of interactions" of a full stack application alongside with peer SRE team member
Continuously optimize the L2/support operations work via SRE workflow automation
Shape the SRE orchestration platform design with inputs from Production Operations, Business usage & Product and engineering teams
Actively engage and drive AI Ops adoption across teams

SRE Lead Design & Support Engineer

This is a critical enabler achieving a high resiliency during operations and als...

Location

Mexico , Miguel Hidalgo

Salary:

Not provided

Pepsico

Expiration Date

Until further notice

Requirements

8+ years of work experience evolving to a SRE engineer
3-5 years of experience in continuously improving and transforming IT operations ways of working
Bachelor’s degree in Computer Science, Information Technology or a related field
Proven experience as an SRE in designing the events diagnostics, performance measures and alert solutions to meet the SLA/SLO/SLIs
Highly quantitative, have great judgment, able to connect dots across ecosytems, and efficiently work cross-functionally across teams
A strong expertise of SRE (Software Reliability Engineering) and IT Service Management (ITSM) processes
Hands on experience in Python, SQL /No-SQl( MySQL, Mongo DB, Cassandra, Postgress), AppDynamics, ELK Stack Grafana, Splunk, Dynatrace, Kafka and any SRE Ops toolsets
A firm understanding of cloud archticture for distributed environments
Front-end technologies: HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js
Back-end technologies: Server-side languages (Java, Spring Boot, and related technologies that build the server-side logic, APIs, and database interaction with MySQL, MongoDB, Cassandra, Couchbase)

Job Responsibility

Drive new shift left activities critical to apply Site Reliability Engineering (SRE) and quality assurance principles within the application design / Project roadmap that enablees resilient outcomes
Apply pre-emptive approach into production minimizing business impact, via SRE-driven orchestration of connecting all components of the ecosystem diagnosing anomalies prior to user & remediating through automation
Ensure ecosystem availability and performance in production environments, Pro-actively preventing P1, P2, potential P3s
Engage & influence product and engineering teams during the design and development phases to embed reliability and operability into new services defining & enforce events, logging, monitoring, and observability standards across applications
Accountable to institute non-functional requirements (NFRs) are embedded early including SLA/SLO/SLI and error budgets into the product’s offerings as part of the engineering solution
Leads the team diagnosing any anomalies prior to any user and driving the necessary remediations across the teams involved in end-to-end ecosystem availability, performance and consumption of the cloud architected application ecosystem leveraging SRE Orchestration solutions
Collaborates with Engineering & support teams, including participation in escalations, and blameless postmortems
Work closely with customer-facing support teams to empower them with SRE insights and tooling
Observe, diagnose & improve the end-2-end ecosystem performance of the Modern architected application portfolio i.e. technical “understanding of interactions" of a full stack application alongside with peer SRE team member
Continuously optimize the L2/support operations work via SRE workflow automation

What we offer

Opportunities to learn and develop every day through a wide range of programs
Internal digital platforms that promote self-learning
Development programs according to Leadership skills
Specialized training according to the role
Learning experiences with internal and external providers
Recognition programs for seniority, behavior, leadership, moments of life, among others
Financial wellness programs that will help you reach your goals in all stages of life
A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle
Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life

Director of Platform Engineering & Operations

NetApp is seeking a strategic and execution-oriented Director of Platform Engine...

Location

United States , RTP

Salary:

199750.00 - 298100.00 USD / Year

NetApp

Expiration Date

Until further notice

Requirements

12+ years of progressive experience in infrastructure engineering and operations
7+ years of leadership experience managing global, distributed teams at scale
Deep expertise in: Hybrid compute platforms (virtualization, containerization, public cloud IaaS/PaaS)
Enterprise storage technologies (block, file, object, hybrid architectures)
Global DDI services (enterprise DNS, DHCP, IPAM architectures)
Demonstrated experience implementing Infrastructure as Code and CI/CD-driven infrastructure delivery
Proven track record driving automation at scale across enterprise infrastructure
Strong experience with AI-Ops platforms, observability stacks, and operational analytics
Experience leading both engineering (build) and operations (run) functions within a unified organization

Job Responsibility

Define and execute the strategy for enterprise compute, storage, and DDI platforms across hybrid (on-prem and cloud) environments
Drive modernization of infrastructure services using IaC, GitOps, CI/CD automation, and policy-as-code frameworks
Lead the evolution toward self-service platform models with clear service catalogs, SLOs, and reliability metrics
Partner with executive stakeholders across IT, Security, Engineering, and Product to align platform capabilities with business priorities
Establish multi-year roadmaps for infrastructure transformation, cost optimization, resilience, and scalability
Oversee architecture, engineering, and lifecycle management of: On-prem and cloud-based compute platforms
On-prem and cloud-based storage platforms
Global DDI services (DNS, DHCP, IPAM)
Certificate lifecycle management
Standardize infrastructure patterns across data centers and public cloud providers

What we offer

Health Insurance
Life Insurance
Retirement or Pension Plans
Paid Time Off
various Leave options
employee stock purchase plan
and/or restricted stocks (RSU’s)

Fulltime

AI Platform Site Reliability Engineering Specialist

The AI Platform Site Reliability Engineering Specialist will operate and maintai...

Location

India , Bengaluru

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
5 years of production experience in SRE / Infrastructure / ops for large-scale systems
Strong programming/scripting skills (Python, Go, Java, or equivalent)
Deep experience with containerization (Docker), orchestration (Kubernetes, etc.)
Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.)
Familiarity with GPU / AI compute clusters, high-performance data storage, and distributed architectures
Experience with monitoring / observability / logging / alerting tools (Prometheus, Grafana, ELK / EFK, Datadog, etc.)
Networking and systems engineering knowledge (TCP/IP, DNS, routing, load balancing, distributed storage)
Solid experience in capacity planning, performance tuning, scaling, and incident response
Demonstrated ability to lead RCAs, deploy fixes, and drive reliability improvements

Job Responsibility

Operate, monitor, and maintain the infrastructure supporting GenAI applications ( training, inference, feature store, data ingestion, model serving)
Design and build automation for core platform capabilities, reducing manual toil
Develop and maintain infrastructure-as-code (IaC) for provisioning and managing compute, storage, network, GPU clusters, Kubernetes / container orchestration, etc.
Establish, monitor and enforce SLOs/SLIs/LSAs, error budgets, alerting, and dashboards
Lead incident response, root cause analysis (RCA), postmortems, and systemic remediation
Perform capacity planning, scaling strategies, workload scheduling and resource forecasting
Optimize cost vs. performance trade-offs in large-scale compute environments
Harden systems for security, compliance, auditability, and data governance
Collaborate across teams (cloud engineers, data engineers, infrastructure, security) to ensure safe deployment, rollout, rollback, and integration of new systems
Define disaster recover (DR) strategies, back/restore practices, fault tolerance mechanisms

AI Applications Ops Lead

Scale’s rapidly growing International Public Sector team is focused on using AI ...

Location

Qatar; United Kingdom , Doha; London

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector
Familiarity with international government security standards and the complexities of deploying sovereign AI
Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core
Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools
Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them
Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy
Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it

Job Responsibility

Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies
Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment
Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability
Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks
Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again
Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials
Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases

Senior Infrastructure & Platform Engineer

You’re turning innovative research and bespoke tooling into secure, scalable, ob...

Location

Finland , Helsinki

Salary:

Not provided

ICEYE

Expiration Date

Until further notice

Requirements

Deep AWS experience operating production systems at scale
Strong with Python for automation/tooling (reading service code as needed)
Batch/workflow orchestration
Containers at scale (Docker, ECR), CI/CD, artifact integrity and rollout strategies
IaC (Terraform/Terragrunt or CDK) and Git‑driven ops
Production observability and SRE practices (SLOs, incident response), CloudWatch/Datadog
Security fundamentals: IAM, network segmentation, encryption, vulnerability management
Kubernetes or equivalent
LLM IDE Tooling proficiency & curiosity (e.g. Cursor, Claude, Copilot)

Job Responsibility

Lead and evolve cloud foundations in AWS: multi‑account setup and guardrails (Organizations, IAM/SCP/SSO), secure networking, encryption (KMS), secrets, artifact governance
Support on-premise deployments when needed, working closely with other engineering teams
Choose the right compute & orchestration for the service/product needs we have
Codify everything: build reusable Terraform/Terragrunt/CDK modules
drift control
environment promotion. Automate when possible
Harden CI/CD: SBOMs, image signing, policy gates, progressive delivery, fast rollback
Observability that matters: metrics/logs/traces (CloudWatch and/or Datadog), SLOs/error budgets, alerting, incident response with blameless postmortems
Security at speed: vulnerability management, supply‑chain hardening, least‑privilege by default, data‑access boundaries
Cost & performance: capacity planning, spot strategies, storage patterns for large rasters (S3, EFS/FSx), data‑locality aware processing

What we offer

Occupational healthcare, occupational and accident insurance
A yearly benefit budget to spend as you wish (i.e. on sport, transport, bike benefit, wellness, lunch, etc.)
Phone subscription with iPhone of choice
Relocation support (i.e. flight tickets, accommodation, relocation agency support)
Time for self-development, research, training, conferences, or certification schemes
Inspiring and collaborating offices and silent workspaces enable you to focus
A wide variety of the best coffee, tea, snacks, and sweets to accompany your daily space mission

Fulltime

New

Senior Program Manager, Merchant Operations Success

At Uber, providing excellent customer support to our users is a core feature of ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

5+ years of experience in Customer Experience, Program Management, Operations, or Support Enablement, preferably in a fast-paced, tech-driven, or complex environment
Strong working knowledge of support performance metrics
Excellent stakeholder management
Strong communicator
Team-player
Balance of strategic vision and operational rigor
Bias for action and problem-solving skills
Critical thinking
Data-driven and analytical approach

Job Responsibility

Drive Operational Excellence Across EMEA Merchant Operations
Own and Execute the EMEA Merchant Operations Strategy & Roadmap
Enhance the Merchant Experience Through Data & Insights
Optimize Support Delivery Through Specialization & Automation
Lead Market Expansion & Integration Initiatives
Act as a Primary EMEA Operations Point of Contact
Collaborate Cross-Functionally to Deliver Impact
Drive Governance, Reporting & Continuous Improvement

Fulltime

AI SRE / AI Ops engineer

Realign

Location:
Canada , Montreal

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 19, 2026

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