Role Description We're seeking a Senior Infrastructure Automation Engineer to design and build automation solutions that power our infrastructure operations. You'll architect elegant frameworks and write the code that brings them to life—reducing manual work, improving reliability, and accelerating infrastructure delivery. What You'll Do - Design & Build (90%) - Design automation frameworks and reusable infrastructure patterns using Terraform - Architect and deploy scalable, secure AWS cloud infrastructure - Develop automation tools and scripts with Python, Bash, PowerShell, and Ansible - Build CI/CD pipelines for infrastructure deployment and testing - Create self-service platforms enabling teams to provision resources safely - Write automated monitoring and remediation workflows - Support & Optimize (10%) - Troubleshoot complex infrastructure issues across cloud, networking, and systems - Optimize existing automation for performance and reliability - Provide technical guidance on automation best practices Qualifications - 5+ years AWS cloud infrastructure experience - Expert-level Terraform skills (modules, state management, multi-environment) - Strong Python scripting ability (Bash and PowerShell a plus) - Hands-on experience with Ansible and CI/CD tools (Jenkins, GitLab CI, GitHub Actions) - Proven ability to design scalable automation solutions from scratch - Solid understanding of networking, Linux/Windows systems, and security best practices - Cross-functional collaboration and documentation skills Requirements - Cloud Infrastructure Engineering (AWS) - Infrastructure as Code (Terraform) - Automation & Scripting - DevOps & CI/CD - Troubleshooting & Problem Solving Nice to Have - Kubernetes/ECS, multi-cloud experience (Azure, GCP) - GitOps tools, observability platforms - AWS certifications, SRE background What Success Looks Like - 90 days: Identify opportunities and deliver initial automation improvements - 6 months: Reduce manual operational work by 30%+ through automation frameworks - 1 year: Establish IaC standards adopted across teams with measurable reliability gains Benefits - Listed salary ranges may vary based on experience, qualifications, and local market. - Some positions may include bonuses or other incentives. Company Description The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence.

Role Description Qompyl is looking for a Cloud Infrastructure & DevOps Engineer to help manage, optimize, and scale the cloud infrastructure behind our mobile-first fintech platform. Working closely with the engineering team, you will support deployments, improve CI/CD processes, maintain platform reliability, and ensure our Azure environment remains secure, efficient, and cost-effective. This is a part-time, equity-only role suited for someone seeking a meaningful side engagement alongside full-time work or consulting projects. Key Responsibilities - Design, manage, and optimize Microsoft Azure cloud infrastructure to support the Qompyl platform and future growth. - Deploy and maintain containerized services using Docker and Azure-native technologies. - Develop, manage, and improve CI/CD pipelines using Azure DevOps, GitHub Actions, and related automation tools. - Monitor infrastructure performance, availability, and reliability through logging, monitoring, and alerting systems. - Collaborate with software engineers to support application deployments, integrations, and feature releases. - Implement and maintain cloud security best practices, including access controls, network security, encryption, and role-based permissions. - Monitor cloud resource utilization and proactively identify opportunities to optimize performance and reduce costs. - Develop automation scripts and operational tooling to improve deployment efficiency and reduce manual effort. - Design and maintain backup, disaster recovery, and business continuity processes. - Troubleshoot infrastructure, deployment, and performance issues across cloud environments. - Document cloud architecture, deployment procedures, operational processes, and infrastructure standards. - Contribute to a culture of ownership, transparency, teamwork, and continuous improvement. Qualifications - Experience managing cloud infrastructure, preferably in Microsoft Azure. - Experience deploying and managing containerized applications using Docker. - Experience building and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools. - Strong understanding of cloud networking, security, access controls, and infrastructure best practices. - Experience with monitoring, logging, and alerting in production environments. - Ability to troubleshoot infrastructure and deployment issues in a cloud environment. - Strong problem-solving skills and ability to work independently in a remote team. - Excellent communication and collaboration skills. Requirements - Part-time, equity-only role suitable as a side engagement alongside a primary job or consulting work. - The position will transition to compensated status after the MVP launch and once funding or sustainable revenue is secured. Benefits - Opportunity to join an early-stage mission-driven startup. - Help build a next-generation trading platform.

Role Description We are seeking an experienced and driven Infrastructure Engineer to join our platform engineering team. In this role, you will be at the heart of our engineering organisation — designing and owning the infrastructure, CI/CD pipelines, observability stack, and cloud platforms that power our products. You will partner closely with development, QA, and security teams to build reliable, scalable, and secure systems, while championing a culture of automation, continuous improvement, and operational excellence. What You Will Bring to ChargePoint - CI/CD & Automation - Design, build, and maintain robust CI/CD pipelines that support rapid, high-quality software delivery across multiple teams and environments. - Automate repetitive operational tasks — build, test, release, and deployment workflows — to improve speed and consistency. - Own release management processes including versioning, tagging, rollback strategies, and progressive delivery (canary, blue-green deployments). - Integrate automated testing, code quality gates, and security scanning into delivery pipelines. - Cloud Infrastructure & Architecture - Architect, provision, and manage scalable cloud infrastructure across AWS, GCP, or Azure using Infrastructure-as-Code (IaC) tools such as Terraform, Pulumi, or CloudFormation. - Design for high availability, fault tolerance, and cost efficiency; regularly review and optimise cloud spend. - Manage multi-environment setups (dev, staging, production) with environment parity and configuration management best practices. - Evaluate and adopt new cloud-native services that align with business and engineering goals. - Container Orchestration & Microservices - Build and manage containerised workloads using Docker and Kubernetes (EKS, GKE, AKS, or self-managed clusters). - Define standards for container image builds, registry management, security scanning, and image lifecycle. - Implement and maintain service mesh, ingress, and networking solutions within Kubernetes environments. - Drive adoption of Helm charts or Kustomize for consistent and repeatable Kubernetes deployments. - Observability & Reliability - Build and maintain a comprehensive observability stack covering metrics, logs, and distributed tracing (e.g., Prometheus, Grafana, Datadog, ELK/EFK, Jaeger, or equivalent). - Define SLIs, SLOs, and error budgets in partnership with engineering teams; lead SRE practices across the organisation. - Lead incident response processes — on-call rotation, blameless post-mortems, and systematic reliability improvements. - Proactively identify and address toil, bottlenecks, and single points of failure in the platform. - Security & Compliance - Embed security practices into infrastructure and pipelines — secrets management (Vault, AWS Secrets Manager), least-privilege IAM, network segmentation, and vulnerability scanning. - Ensure infrastructure compliance with relevant standards (SOC 2, ISO 27001, CIS Benchmarks, PCI-DSS where applicable). - Collaborate with the security team on audit readiness, penetration testing remediation, and security posture improvements. - Implement and enforce IaC security scanning (Checkov, tfsec, or similar). - Collaboration & Leadership - Act as a technical lead and mentor for junior and mid-level DevOps/platform engineers. - Define and document engineering standards, runbooks, architectural decision records (ADRs), and operational playbooks. - Participate in architecture and design reviews; advocate for infrastructure and operational concerns early in the product lifecycle. - Evaluate and manage third-party tooling and vendor relationships. Qualifications - 7–9 years of hands-on experience in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role. - Strong expertise with at least one major cloud provider (AWS, GCP, or Azure) — including compute, networking, storage, IAM, and managed services. - Deep experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, CircleCI, or Tekton. - Proficiency in Infrastructure-as-Code using Terraform and/or Pulumi/CloudFormation. - Hands-on expertise with Docker and Kubernetes in production environments. - Strong scripting and automation skills in Python, Bash, or Go. - Solid understanding of networking fundamentals — DNS, TCP/IP, load balancing, VPNs, and CDNs. - Experience with observability and monitoring platforms (Prometheus/Grafana, Datadog, Splunk, ELK, or equivalent). - Familiarity with configuration management tools (Ansible, Chef, Puppet, or similar). - Demonstrated ability to lead complex technical initiatives and mentor team members. Requirements - Experience with Git workflows and tools such as ArgoCD or Flux. - Knowledge of service mesh technologies (Istio, Linkerd, Envoy). - Exposure to FinOps practices and cloud cost optimisation tooling. - Experience with database administration and managed data services (RDS, CloudSQL, DynamoDB, etc.). - Familiarity with ML/AI infrastructure or data platform engineering. - Relevant certifications: AWS Solutions Architect / DevOps Engineer, CKA/CKAD, Google Professional Cloud DevOps Engineer, HashiCorp Terraform Associate, or equivalent. - Background in regulated or high-compliance environments (FinTech, Healthcare, eCommerce). Location Gurgaon/Remote Company Description ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process. If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com. ChargePoint is an equal opportunity employer. Applicants only - Recruiting agencies do not contact.

Role Description This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations. - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. Qualifications - You have experience with and enjoy working directly with customers. - You have experience deploying enterprise software in private/hybrid cloud environments. - You have proven experience administering production Kubernetes clusters and expertise with Helm. - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control. - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization. - You excel in fast-paced environments and can execute while priorities and objectives are a moving target. - You have fluent Japanese and business-level English. Requirements If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Benefits - An open and inclusive culture and work environment. - Work closely with a team on the cutting edge of AI research. - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. - Education & learning stipend for conferences, courses, and coaching. - Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend. - 6 weeks of paid vacation (30 working days!). - Budget for traveling to other offices if you are remote, plus an annual company offsite. Company Description Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!