Our values

Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.

Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. 

Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth. 

Introduction

We are seeking a dynamic and experienced Strategic Technical Advisor to spearhead the growth and operational excellence of our dedicated technical delivery and enablement function focused exclusively on our strategic customer. Crucially, this Hub operates as a key component of the larger Strategic Program organization dedicated to this customer.

This is a foundational role in a high-potential environment, as the Hub team will grow from an initial 6 technical resources to approximately 20 by the end of the year.

The successful candidate will be responsible for three critical outcomes:

1. Hub Build-Out: Hiring the team,  establishing the operational frameworks, best practices, and culture necessary to scale successfully and ensuring seamless integration with the strategic customer's priorities and the Strategic Program's goals.
2. Delivery Excellence: Guaranteeing the high-quality, successful, and impactful delivery of technical solutions, customer support and enablement programs for the customer.
3. Ecosystem Enablement: Developing and mentoring a 3rd party partner team to ensure they can independently support and extend the customer's platform usage.

The role requires a strong dual focus: Team Leadership and Technical Oversight. As the entire team consists of specialized technical resources—specifically Data Scientists, Data Engineers, and Solution Architects—and includes an integrated, dedicated Support function, the Hub Lead must act as a mentor and technical guide. They will be expected to direct and coach these technical experts on how to "show up" with professionalism and technical authority in complex, high-stakes customer-facing engagements.

Key Responsibilities

1. Technical Mentorship & Partner Enablement

2. Program Collaboration & Cross-Functional Coordination

3. Delivery Excellence & Customer Success

• Standards Implementation: Establish and enforce adherence to defined technical delivery standards and best practices on all projects, specifically tailored to meet the customer’s technical environment and compliance requirements.
• Escalation Management: Execute the internal escalation process for critical customer issues, ensuring timely resolution and coordinated communication with customer and support teams.
• Customer Feedback and Improvement: Analyze customer feedback and system performance data to propose and implement actionable improvements to engineering methodologies, developer tools, or team workflows. 

4. Financial and Operational Performance

•  Estimations & Scope Creep: Work with Program Managers to maintain accurate technical effort forecasts. Proactively flagging technical scope creep or resource bottlenecks.
•  

5. Talent Acquisition and Development

• Recruitment and Onboarding: Lead the deep-dive technical interview and selection process for all Hub candidates. Ensure every new hire raises the collective technical bar of the team.. Own and manage the complete onboarding process for new team hires.
• Engagement & Retention: Drive employee engagement for this dedicated team through regular check-ins and activities, using proactive measures to address retention risks.
• Training Strategy Execution: Develop and execute comprehensive training and upskilling plans that focus on both deep technical skills and customer-specific domain knowledge, leveraging standard Academy content while ensuring the Dedicated Support team is current on the customer's architecture and configuration.
• Knowledge Sharing Facilitation: Actively facilitate collaborative team work sessions to encourage knowledge sharing and capture team-developed process improvements or technical solutions to share with the broader organization.
• External Partner Quality: Track and report on the effectiveness and quality of the 3rd party partner staff to ensure skill and knowledge levels meet delivery and performance standards.

Key Performance Indicators (KPIs)

The Strategic Customer Hub Lead is accountable for monitoring and reporting on the following key metrics:

• Partner Readiness: Achieve [Metric/Level] in partner certification and readiness tracking.
• Customer Enablement : Track customer and partner completion rates for Academy coursework and Community engagement levels.
• Talent Retention & Engagement: Achieve and maintain a voluntary attrition rate below [Z]%.

Qualifications

• Technical Domain Expertise: Minimum of 15+ years of professional experience in a technical discipline relevant to the team (e.g., Data Engineering, Cloud Architecture, or Data Science/MLOps) ideally in a SaaS environment. Must have at least 5 years of experience in a role that required reviewing architecture and challenging technical decisions made by senior engineering staff. 
• Strategic Account Experience: Proven history of successfully leading technical delivery for a singular, large strategic customer or within a dedicated account structure. Demonstrated ability to navigate complex enterprise IT landscapes and align internal technical roadmaps with client-side architectural constraints.
• Architectural Governance & Program Alignment: Ability to operate effectively within a matrixed Strategic Program, serving as the "technical conscience" of the Hub to ensure all deliveries align with the broader program's long-term technical objectives. Experience providing technical direction to dotted-line support resources is essential.
• Partner & Learning Enablement: Demonstrated ability to mentor, train, or enable a 3rd party partner and to effectively leverage or develop formal learning pathways (Academy/training) for customer success.
• Team Building & Mentorship: Extensive experience in mentoring and coaching highly skilled technical professionals, specifically within an Indian delivery center context.
• Communication & Presence: Exceptional verbal and written communication skills necessary to articulate technical strategy to executive-level clients and effectively train team members on professional presence (the "how to show up" factor).

 Join the global Cognite community! 🌐

• Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
• ITPL office location (Bengaluru)
• A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
• Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
• Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
• Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
• Hybrid work environment globally

Why choose Cognite? 🏆 🚀

Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. 

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

• Breaking down complex requirements with the product manager, tech lead, and Office of the CTO, turning them into execution pieces and finding the right sequence
• Managing schedule, timelines, and milestones (i.e. alpha, beta, and GA)
• Driving the trade-offs between usability, go-to-market (GTM) lead time, features scope, technical debt/investment (i.e. across UX/PM/ENG/GTM) to maximize value for our customers and Cognite
• Drive end-to-end alignment from sales to delivery, security, and support
• Managing internal and external dependencies arising from end-to-end alignment
• Managing budgeting and resource needs
• Managing in-market product performance in scope of the program (e.g. usage metrics, cost drivers, required delivery effort, as well as quality, reliability, security etc.), ensuring those metrics are measured, reported, reviewed and acted upon

• Automate the "toil" of program management
• Run complex, cross-discipline and cross-department programs that span research, engineering, and product
• Strong influencing skills: The ability to influence stakeholders and drive consensus across the organization without formal reporting lines
• Structured, thorough and detail oriented
• Genuine interest in or direct experience on the full product lifecycle (product strategy, sales, delivery, adoption, support, sunsetting)

• Must have experience from a SaaS company at scale
• Must have software development experience (any language) in developing, testing, deploying code for a software product
• Strong system design understanding, specifically regarding scalable systems
• Proven ability to use AI tools (e.g., Cursor, Claude code, custom agents) to accelerate productivity

• 6-10 years of experience in Engineering and Program Management
• Experience in leading and managing product development teams, running sprints, scrums, making scoping trade-offs and assessing technical options with tech leads and architects

A snapshot of our many perks and benefits as a Cogniter
* Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus
* A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata to know more
* Flat structure with direct access to decision-makers
* Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology
* Join our HUB to be part of the conversation directly with Cogniters and our partners.
* Get access to meditation room for rejuvenation.
* Hungry? We’ve got your back. A sponsored lunch at the canteen is delivered
* We take your mental- and physical health seriously by having a broad health offering and a free membership to a popular gym

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

How you’ll demonstrate Ownership

• Lead the design and implementation of scalable and efficient data engineering solutions using our platform Cognite Data Fusion®.
• Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs.
• Create custom data models for data discovery, mapping, and cleansing.
• Collaborate with data scientists, project managers and solution architects engineers on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform.
• Conduct code reviews and implement best practices to ensure high-quality and maintainable code and deliveries.
• Support customers and partners in conducting data engineering tasks with Cognite products.
• Contribute to the development of Cognite’s official tools and SDKs.
• Collaborate with our Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings.

The Impact you bring to Cognite

• Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
• Minimum 7+ years of experience in a customer-facing Data intense role
• Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
• Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
• Domain experience/knowledge of data sources within oil and gas & manufacturing industry is a plus
• Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
• Enjoys working in cross-functional teams
• Able to independently investigate and solve problems
• Humility to ask for help and enjoy sharing knowledge with others

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

• Own the end-to-end services and support engagement for Cognite’s most strategic customers, acting as the first mile of ownership once solutions are live in production.
• Serve as the primary escalation point for strategic accounts, ensuring timely resolution, clear communication, and strong executive confidence during critical incidents.
• Build and maintain trusted advisor relationships with senior customer stakeholders and executive sponsors, focused on platform stability, adoption, and measurable business outcomes.
• Ensure support delivery, SLAs, and service motions (OneSupport) are aligned to customer success criteria, business priorities, and contracted expectations.
• Drive customer satisfaction (CSAT), retention, and advocacy through proactive service reviews, trend analysis, and continuous improvement initiatives.
• Develop and execute Strategic Service Plans and Value Roadmaps, outlining how support, expert guidance, accelerators, and best practices help customers achieve desired outcomes.
• Partner closely with Sales, Account Management, and Delivery teams to surface expansion and upsell signals driven by adoption maturity, support insights, and customer demand (without owning the commercial close).
• Act as the voice of the customer into Product, Engineering, and Support leadership by translating incident patterns, feature gaps, and operational feedback into actionable priorities.
• Communicate product and platform roadmap updates relevant to supportability, operability, and customer impact, ensuring expectations are clearly set and managed.
• Collaborate with Customer Marketing and Enablement teams to drive engagement through webinars, enablement sessions, release communications, and customer community programs.
• Proactively identify renewal and satisfaction risks using support metrics such as CSAT, ticket volume and severity trends, adoption indicators, and escalation frequency, and coordinate mitigation plans.
• Work with Cognite’s partner and services ecosystem to ensure consistent, high-quality support delivery for joint strategic customers.

• 5+ years of experience leading customer-facing engagements in Customer Support, Customer Success, Technical Account Management, or Professional Services roles.
• Proven experience managing strategic enterprise customers, including executive communications, escalation handling, and complex stakeholder environments.
• Strong understanding of support operating models, including SLAs, incident management, customer health monitoring, and first-mile ownership.
• Demonstrated ability to influence renewals and expansions through service excellence, customer trust, and value realization (non-quota carrying).
• Track record of supporting large-scale SaaS or data platform implementations in complex enterprise environments.
• Comfortable engaging with C-level and senior leaders across both business and IT organizations.
• Experience working cross-functionally with Sales, Delivery, Product, Engineering, and Partner teams.
• Experience operating in a high-growth, scale-up environment with evolving processes and priorities.
• Hands-on familiarity with enterprise support platforms and tooling such as Zendesk, case management systems, CSAT/NPS tools, incident and escalation management workflows, and support analytics dashboards.
• Fluent in written and spoken English.

What We Offer

• Opportunity to work with modern, cloud-native technologies.
• Collaborative environment with strong engineering support.

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

About the Opportunity

The Impact you bring to Cognite

Key Responsibilities

• Take product requirements and independently design, train, test, and deploy ML models (e.g., NLP, Vision-Language Models) for document parsing, layout analysis, and entity matching.
• Write high-quality, scalable production code (Python). Wrap your ML models into robust RESTful or gRPC APIs and integrate them seamlessly into existing industrial master data systems and workflows.
• Implement and maintain CI/CD pipelines for your models. Navigate complex deployment environments, manage containerized applications (Docker/Kubernetes), and optimize inference bottlenecks.
• Work with Principal engineers to translate high-level system architectures into concrete, scalable data pipelines and production-ready microservices.
• Design automated testing for ML pipelines. Monitor deployed models in production for data drift, latency, and accuracy, proactively implementing retraining strategies.
• Collaborate effectively with product managers to define ML capabilities. Provide code reviews and informal technical mentorship to engineers.

Required Skills and Qualifications

• Bachelor’s or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
• 6–10 years of industry experience in software engineering with a strong focus on machine learning, MLOps, and API development.
• Strong programming skills in Python with experience using backend web frameworks (e.g., FastAPI, Flask, Django) to serve models.
• Solid expertise in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain.
• Hands-on experience with containerization (Docker, Kubernetes), Linux environments, CI/CD tools (GitHub Actions, Jenkins), and deploying models on cloud platforms (AWS, Azure, or GCP).
• Solid understanding of software architecture, data structures, and algorithms to ensure performant code.
• Hands-on experience with distributed data processing frameworks (e.g., Apache Spark, Ray, Dask) and orchestrating complex data workflows (e.g., Apache Airflow, Dagster, Prefect).

What Sets your Role Apart

• Independently define the technical ML/SWE approach for ambiguous feature requests and deliver to production.
• Recognize the model is a small part of the solution; expertly manage aspects like API rate limiting, asynchronous processing, and robust data routing around ML components.
• Possess hands-on experience maintaining production ML models and designing resilient systems against poor data quality..

Preferred Qualifications

• Proven experience fine-tuning and deploying multimodal models for visual data and engineering diagrams in live environments.
• Built robust, production-grade RAG pipelines, expertly utilizing Vector/Graph Databases for high-accuracy entity retrieval.
• Familiar with orchestrating multi-step reasoning using frameworks like LangGraph or AutoGen for real-world problem-solving.
• Strong understanding of advanced OCR, layout parsing, and techniques for consistent structured JSON extraction from complex industrial PDFs. Manufacturing/OT dataset experience preferred.
• Ability to optimize LLMs/VLMs for inference latency (quantization, TensorRT, vLLM), potentially in constrained, on-premises environments.
• Experience with modern data lake/lakehouse architectures (Delta Lake, Iceberg, Databricks) for efficient querying and preprocessing of petabyte-scale unstructured data for LLM/VLM training and RAG.

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Overview

At Cognite, the Strategic Technical Advisor (Operations) acts as the operational "North Star" for our most complex, large-scale programs. This role is the bridge between global program leadership and the partner-led teams responsible for the long-term maintenance and reliability of the CDF platform.

Your mission is to ensure that the partner transitions from "building" to "operating" with world-class proficiency. You are the guardian of Operational Integrity. You ensure that distributed teams remain aligned with Cognite’s operational standards through influence, expert advisory, and technical vetting. You don't manage the day-to-day tickets; instead, you establish the "Operational Gold Standard"—the patterns for monitoring, performance, and platform health—and advise the partner on how to scale them.

Location & Travel: Based in Bangalore, India with some travel expected

What You’ll Do

1. The "Operational Gold Standard" & Prototyping

• Operational "Spiking": Before the partner implements a new operational workflow (e.g., automated scaling, new monitoring stack, or complex platform upgrade), you perform an "Operational Spike." You prototype the configuration to identify reliability risks and performance bottlenecks early and coordinate approval with the overarching technical governance team.
• Prescribing Runbooks: You act as a consultant to partner teams, advising on the logic and standards required for high-tier monitoring and CI/CD. Your role is to provide the "Gold Standard" methodology, mentoring the enterprise on how to adopt and implement these frameworks at scale.
• Operational Asset Management: Own the technical knowledge repository for platform operations. You ensure that all troubleshooting patterns, root-cause analyses, and optimization blueprints are documented to prevent knowledge silos in the partner team.

2. Operational Advisory & Governance

• Technical Audit of "Run": You develop and lead a technical audit framework for platform operations. You perform periodic "Deep Dives" into the partner’s platform configurations and maintenance scripts to independently assess if they meet Cognite’s standards for security and stability.
• SLO/SLI Stewardship: Audit the partner’s performance against Service Level Objectives (SLOs). You advise them on how to define and track meaningful indicators (SLIs) for data latency, API availability, and system throughput.
• Operations Vetting: Provide high-level technical advisory to ensure the partner implements platform upgrades and patches correctly. You act as the guardian of platform health without owning the daily operational tasks.

3. Scaling, Feedback Loops & Triaging Excellence

• Triaging Strategy & Upskilling: You are responsible for maturing the partner's ability to diagnose complex issues. You create "Triage Playbooks" and logic trees to teach partner resources how to systematically distinguish between source system issues (OT/IT), partner configuration errors, and Cognite product bugs.
• Training & Operational Onboarding: Create training paths focused on Site Reliability Engineering (SRE) principles within the CDF ecosystem. You support the onboarding of partner resources to ensure they operate the platform at "Cognite-grade" proficiency.
• Internal Product Feedback (Ops Focus): Act as the voice of the program to Cognite’s Product teams. You advocate for "serviceability" features—identifying where the product needs better observability or automated triaging tools to reduce the partner's operational overhead.

Who You Are

• 8–10+ years of experience in Platform Engineering, SRE, or Technical Operations Architecture.
• Technical Depth: Expert-level knowledge of cloud infrastructure (Azure/GCP), Kubernetes, CI/CD automation, and large-scale data platform monitoring.
• The "Advisory" Mindset: You excel at teaching others how to fish. You are comfortable being the "Auditor" who identifies gaps in the partner's operational discipline and provides the roadmap to fix them.

Traits That Make You Thrive

• Operational Rigor: You believe that manual intervention is a bug and that automated, observable systems are the only way to scale.
• Patience & Mentorship: You enjoy seeing a partner team mature from reactive firefighting to proactive platform stewardship.

Predictive Thinking: You have a "sixth sense" for platform instability and intervene through advisory before a crisis occurs.

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Overview

At Cognite, the Strategic Technical Advisor (Operations) acts as the operational "North Star" for our most complex, large-scale programs. This role is the bridge between global program leadership and the partner-led teams responsible for the long-term maintenance and reliability of the CDF platform.

Your mission is to ensure that the partner transitions from "building" to "operating" with world-class proficiency. You are the guardian of Operational Integrity. You ensure that distributed teams remain aligned with Cognite’s operational standards through influence, expert advisory, and technical vetting. You don't manage the day-to-day tickets; instead, you establish the "Operational Gold Standard"—the patterns for monitoring, performance, and platform health—and advise the partner on how to scale them.

Location & Travel: Based in Bangalore, India with some travel expected

What You’ll Do

1. The "Operational Gold Standard" & Prototyping

• Operational "Spiking": Before the partner implements a new operational workflow (e.g., automated scaling, new monitoring stack, or complex platform upgrade), you perform an "Operational Spike." You prototype the configuration to identify reliability risks and performance bottlenecks early and coordinate approval with the overarching technical governance team.
• Prescribing Runbooks: You act as a consultant to partner teams, advising on the logic and standards required for high-tier monitoring and CI/CD. Your role is to provide the "Gold Standard" methodology, mentoring the enterprise on how to adopt and implement these frameworks at scale.
• Operational Asset Management: Own the technical knowledge repository for platform operations. You ensure that all troubleshooting patterns, root-cause analyses, and optimization blueprints are documented to prevent knowledge silos in the partner team.

2. Operational Advisory & Governance

• Technical Audit of "Run": You develop and lead a technical audit framework for platform operations. You perform periodic "Deep Dives" into the partner’s platform configurations and maintenance scripts to independently assess if they meet Cognite’s standards for security and stability.
• SLO/SLI Stewardship: Audit the partner’s performance against Service Level Objectives (SLOs). You advise them on how to define and track meaningful indicators (SLIs) for data latency, API availability, and system throughput.
• Operations Vetting: Provide high-level technical advisory to ensure the partner implements platform upgrades and patches correctly. You act as the guardian of platform health without owning the daily operational tasks.

3. Scaling, Feedback Loops & Triaging Excellence

• Triaging Strategy & Upskilling: You are responsible for maturing the partner's ability to diagnose complex issues. You create "Triage Playbooks" and logic trees to teach partner resources how to systematically distinguish between source system issues (OT/IT), partner configuration errors, and Cognite product bugs.
• Training & Operational Onboarding: Create training paths focused on Site Reliability Engineering (SRE) principles within the CDF ecosystem. You support the onboarding of partner resources to ensure they operate the platform at "Cognite-grade" proficiency.
• Internal Product Feedback (Ops Focus): Act as the voice of the program to Cognite’s Product teams. You advocate for "serviceability" features—identifying where the product needs better observability or automated triaging tools to reduce the partner's operational overhead.

Who You Are

• 10–15+ years of experience in Platform Engineering, SRE, or Technical Operations Architecture.
• Technical Depth: Expert-level knowledge of cloud infrastructure (Azure/GCP), Kubernetes, CI/CD automation, and large-scale data platform monitoring.
• The "Advisory" Mindset: You excel at teaching others how to fish. You are comfortable being the "Auditor" who identifies gaps in the partner's operational discipline and provides the roadmap to fix them.

Traits That Make You Thrive

• Operational Rigor: You believe that manual intervention is a bug and that automated, observable systems are the only way to scale.
• Patience & Mentorship: You enjoy seeing a partner team mature from reactive firefighting to proactive platform stewardship.
• Predictive Thinking: You have a "sixth sense" for platform instability and intervene through advisory before a crisis occurs.

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

How you’ll demonstrate Ownership

• Lead the design and implementation of scalable and efficient data engineering solutions using our platform Cognite Data Fusion®.
• Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs.
• Create custom data models for data discovery, mapping, and cleansing.
• Collaborate with data scientists, project managers and solution architects engineers on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform.
• Conduct code reviews and implement best practices to ensure high-quality and maintainable code and deliveries.
• Support customers and partners in conducting data engineering tasks with Cognite products.
• Contribute to the development of Cognite’s official tools and SDKs.
• Collaborate with our Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings.

The Impact you bring to Cognite

• Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
• Minimum 5+ years of experience in a customer-facing Data intense role
• Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
• Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
• Domain experience/knowledge of data sources within oil and gas & manufacturing industry is a plus
• Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
• Enjoys working in cross-functional teams
• Able to independently investigate and solve problems
• Humility to ask for help and enjoy sharing knowledge with others

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.