PagerDuty - Senior Forward Deployment Engineering Delivery Consultant (FKA Senior Scaled Delivery | Success on Demand Consultant) 

The Senior PagerDuty - Forward Deployment Engineering Consultant is a pivotal leadership role responsible for overseeing the end-to-end development, deployment, and optimization of PagerDuty's platform and AI-driven solutions for enterprise customers. 

This position requires experience in software development, architecture, and deployment, coupled with a deep technical understanding of AI integration practices and advanced development technologies. 

The successful candidate will guide fast implementation projects, leveraging generative AI and automation to enhance customer outcomes from initial scoping and design through to production deployment and ongoing service enhancement. 

Additionally, they will serve as the principal liaison between customers and internal teams, including Support, Success, Engineering, Professional Services, and Education, as well as between customers and PagerDuty’s Product & Development teams, ensuring that technical strategies align with business objectives. 

This role also involves mentoring junior consultants, leading technical workshops on AI-powered solutions, and representing PagerDuty in external forums to advance modern development and deployment practices. 

Responsibilities: 

• As a Senior Forward Deployment Engineering Delivery Consultant, you will be responsible for collaborating with PagerDuty customers on the successful design, development, and implementation of solutions across the PagerDuty Operations Cloud. 
• Collaborate with large-scale enterprises to perform comprehensive scoping assessments, ensuring that the specific technical and business requirements for platform deployment and AI solutions are thoroughly defined and aligned with organizational objectives. 
• Lead end-to-end deployment projects by planning, coordinating, and executing the integration of PagerDuty solutions, leveraging advanced development techniques to ensure seamless transitions and minimal disruption to ongoing business operations. 
• Partner across the organization’s customer-facing teams (Support, Success, Engineering, Professional Services, Education) as the Subject Matter Expert related to PagerDuty Operations Cloud. Support customer account teams in customer meetings, business reviews, and strategy, deployment, and upgrade planning, particularly where new product features or improvements may be required. 
• Partner across PagerDuty Product & Development teams as the Subject Matter Expert, bringing direct customer feedback for new features, AI capabilities, and integration requirements for improvement in future product releases. 
• Develop a deep understanding of PagerDuty products, solutions, integrations, processes, and workflows used in typical customer engagements.

Requirements: 

• 5–8 years of experience as a Software Developer or Engineer in enterprise-level environments.
• Cloud & Architecture Mastery: Proficient in AWS, Kubernetes, Serverless architectures, and CI/CD pipelines. 
• AI Implementation: Experienced in deploying generative AI models and integrating them into complex platforms. 
• AI-Driven Development: Skilled in using AI Coding Assistants (Claude Code, Cursor, Gemini) for rapid prototyping and agent-based delivery. 
• Tech Stack: Proficient in Python, Java, React, and TypeScript for building REST APIs and data pipelines. 
• DevOps Best Practices: Proven track record in debugging, testing, security, and managing the full software delivery lifecycle. 
• Strategic Leadership: Experience managing large-scale platform deployments and AI initiatives from scoping to delivery. 
• Stakeholder Management: Ability to influence senior executives and translate technical strategies into business outcomes. 
• Team Mentorship: Strong background in leading cross-functional teams and fostering collaborative, high-performance environments. 
• Certifications: Advanced credentials in AI, Cloud (AWS/Azure/GCP), or DevOps/SRE.
• Customer Collaboration: Comfortable providing technical guidance directly to clients, data scientists, and architects.
• Soft Skills: Exceptional problem-solving, English communication, and the resilience to thrive in fast-paced, ambiguous settings.

PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.

If you are within a 50 mile radius of the Santiago office, it is required to come in two times per week, so you can thrive in your new role and fully embrace being a Dutonian!

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Based from our Huechuraba office, pre-sales engineers provide guidance in the use of InterSystems' products as they best suit the requirements of our customer and their market. You will partner with our Country Sales Manager on product and business strategies to apply existing and new products to customers' database and application needs. You will face wide-ranging challenges, requiring a mixture of design skills, hands-on coding, presentation skills, technical architecture, sales awareness, business acumen, evangelism, mentoring and training. You may be requested to travel occasionally around Latin America or to attend international meetings and trainings.

Responsibilities 

• Investigate & demonstrate the use of InterSystems products with other 3rd party technologies.
• Manage the technical relationship with customer accounts, ensuring that they are aware of the latest capabilities
• Identify new opportunities within existing accounts.
• Build and demonstrate Proofs of Concept (PoCs) for prospects and partners in order to illustrate the suitability, ease of use, performance, features, reliability and/or connectivity capabilities of InterSystems technology.
• Participate in business and detailed technical discussions at all levels and in all departments of the customer's organization to foster the adoption, use and deployment of Product technologies.
• Recommend technical architecture, database schema, design patterns, migration and upgrade strategies and operational best practices.
• Install InterSystems software and assist with benchmarking exercises to determine optimal deployment configurations.
• Work as a hands-on lead application developer to coach partners and prospects, particularly in the early stages of adoption or during particularly technically challenging projects.
• Provide application programming in Caché Objects, SQL, ObjectScript, and other technologies.
• Give corporate presentations to InterSystems' customers and prospects at site visits, marketing events and such venues. Topic includes strategic and tactical technical and business directions and technical product demonstrations.
• Carry out formal training courses in InterSystems technologies.
• Support customers and prospects during beta test programmes or pre-launch activities and provide feedback to the software development groups.
• Assist with troubleshooting and interact with the World-wide Response Centre (WRC) to support resolution of technical problems.
• Provide consulting services for the Sales Department and other InterSystems departments (Marketing, Support, Development, Documentation among others) as requested.

Qualifications 

Essential 

• Proven experience working with customers on complex challenges, combined with the ability to coordinate or mentor internal teams. Demonstrated capability and motivation to take on increasing management and stakeholder‑facing responsibilities in a dynamic environment.

• Ongoing experience within the design, development & deployment of complex applications.

• Knowledge of competing application frameworks and application servers such as .NET, Python, NodeJS, Javascript, PHP, Django o J2ee. Practical experience with at least one of them.  

• Knowledge of Software development processes such as XP, RAD, RUP or DSDM.  

• Extensive use of 1 or more databases such as Caché, Oracle, SQLServer, Sybase, Informix or DB2/UDB, including designing logical and physical database schema, good SQL and JDBC/ODBC expertise, installation and configuration skills, and performance tuning.  

• Proven business analysis and problem-solving skills.  

• Understanding of the business considerations of application development, support and deployment.  

• Knowledge of HTML5 and developing applications using modern web frameworks such as Angular and design libraries such as Bootstrap with server side communication with REST.  

• Proficiency in Spanish and English.

Desirable 

• 5-10 years of experience programming with demonstrable current hands-on expertise in object-oriented languages such as C#, C++ or Java / J2ee

• Interest in growing into a leadership‑oriented role that extends beyond technical responsibilities.

• General knowledge of Cloud Infrastructures such as GCP.  

• General knowledge of Docker Containers · Proven leadership or technical management in an application development environment. · 

• Experience running formal technical training courses.

• Broad knowledge of IT Industry issues, trends and technical knowledge in any of the following specific vertical markets:  

- HealthCare  

- Retail 

- IoT on Mining, Utility or Other markets

- Finance 

Esta oferta se enmarca en la Ley N°21.015 de Inclusión Laboral de Personas con Discapacidad. InterSystems promueve la igualdad de oportunidades y la no discriminación en todos sus procesos de reclutamiento y selección, asegurando procesos inclusivos y accesibles, en conformidad con la normativa laboral vigente en Chile.