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.

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.

About the role:

Samsara is looking for an experienced Technical Support Engineer to provide world-class hardware and software support experience to our customers. You will be a part of our Tier 2 support team within the umbrella of the Global Technical Support organization. You will be responsible for resolving complex customer problems and improving support across all teams. Your work will be collaborative in nature, working together with other support engineers in multiple support locations to serve our customers and troubleshoot complex issues.  

The ideal candidate will have a strong technical background with experience in a technical support role, proven customer-facing skills, and strong communication skills. You understand the day-to-day aspects of customer support including managing tickets, building knowledge base articles, and providing product feedback to Engineering and PM teams. 

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will: 

• Product Expertise: Become an expert on Samsara’s product portfolio of complete Internet of Things (“IoT”) solutions combining hardware, software, and cloud to bring real-time visibility, analytics, and AI to operations across multiple industries.
• Technical Troubleshooting: Use your technical knowledge and product expertise to troubleshoot and resolve customer issues with medium to high complexity.
• Responsiveness & Resolution: Respond to customers and resolve their inquiries in a timely and helpful manner with a primary focus on meeting our SLA goals.
• Documentation: Partner with Enablement to author and maintain customer-facing knowledge base articles to help improve the self-servisablity for our end users.
• Partnerships: Work closely to develop partnerships with our Engineering and Product teams in order to reproduce bugs and build testbeds as necessary.
• Feedback Loop: Provide direct feedback to Support Management for product and process improvements to help enhance the customer experience.
• Team Player: Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

This is a hybrid position based in our Bengaluru office, requiring you to participate in an on-call rotation schedule to triage and manage high-severity issues and outages.

Minimum requirements for the role:

• B.S. in Computer Science, Engineering (Mechanical/Electrical), or other technical fields.
• Minimum 5 years of experience in support, engineering, or other technical roles.
• Fluent English is a must.
• Technical know-how - you’re comfortable interfacing with engineers, translating complex technical concepts into everyday language, and working with SaaS systems.
• Excellent customer service and interpersonal skills coupled with the ability to influence individual contributors and leaders across the company.
• Excellent written and verbal communication skills, you can speak both Engineer and Human.
• Strong bias for action, ability to dive deep, and insistence on the highest standards.
• Ability to work in a hyper-growth environment with shifting priorities.
• Willingness to work flexible hours during nights and weekends is preferred.

An ideal candidate also has:

• Experience with industrial systems, electronics, tinkering with cars or IoT devices, or similar hands-on work is a big plus.
• Trilingual English, Spanish and French is a big plus.
• Strong familiarity with using CRMs like Zendesk or Salesforce.

#LI-hybrid

Staff Data Scientist – Supply Chain AI (Small Language Models)  

At Avathon, we build AI products that solve real industrial problems at scale. We believe the future of enterprise AI lies in small, focused, high-performance models—deeply grounded in domain context—not just large, generic systems. 

We’re looking for an experienced Data Scientist to join our Supply Chain AI team in India. In this role, you’ll design, fine-tune, and deploy optimized Small Language Models (SLMs) that power production-grade AI features across logistics, planning, inventory, and demand forecasting. 

What Makes This Role Unique 

This is a product-first data science role. You won’t just build models—you’ll own how they show up in real products used by large enterprises. Your work becomes the intelligence layer that sits on top of our graph and indexing systems and directly drives customer outcomes. 

What You’ll Do 

• Build and fine-tune SLMs/LLMs for production use cases such as semantic search, forecasting, contract intelligence, and conversational insights. Optimize models for performance, cost, and latency using PEFT, quantization, and efficient inference techniques 

• Embed supply chain knowledge into models by working closely with domain experts and product teams 

• Enable agentic workflows, allowing AI Assistants to execute planning, optimization, and decision-support tasks 

• Integrate models into products using custom Lambdas, and a Graph-based microservices architecture  

• Apply vector search and semantic reasoning to help customers navigate complex supply chain relationships 

• Work with real enterprise data—ERP, logistics, inventory, supplier, and contract datasets 

• Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE 

• Measure and improve quality, reducing hallucinations and improving reliability through continuous evaluation 
• Partner with engineering, product, and operations teams to ship impactful AI features end-to-end 

What We’re Looking For 

• Experience working with SLMs (Mistral, Phi, Nemotron, Llama variants), applying parameter-efficient fine-tuning (LoRA/QLoRA) to optimize task-specific natural language query answering with high accuracy and minimized hallucinations. 

• Strong understanding of supply chain data and workflows (logistics, inventory, procurement, ERP systems) 

• Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights. 

• Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases 

• 8+ years of experience in forecasting, optimization, supply chain analytics, or AI-driven products 

• Experience designing Retrieval-Augmented Generation pipelines using document chunking, metadata filtering, hybrid (dense + sparse) retrieval, and SLM/LLM grounding for enterprise knowledge search. 

• Hands-on experience building and tuning FAISS-based vector indexes (IVF, HNSW, PQ) for large-scale semantic similarity search with low-latency production deployment 

• Experience taking models from prototype to production 

• Bonus: reinforcement learning, MARL, graph neural networks, or probabilistic modeling 

• Clear communication skills and a strong sense of product ownership 

Why Avathon 

You’ll work on core AI products, not experiments—solving complex supply chain problems for global enterprises, while building from India as a key innovation hub. 

If you enjoy shipping AI that delivers measurable business value, this role is for you. 

Overview of Role

As a Cloud & Edge Engineer at 66degrees, you will bridge the gap between centralized cloud power and localized edge intelligence. You will design, build, and maintain complex infrastructure on Google Cloud Platform (GCP) and Google Distributed Cloud (GDC) for global clients, with a specific focus on Manufacturing Edge environments. You will be instrumental in optimizing performance, scalability, and security from the data center to the factory floor.

Responsibilities

• Core Responsibilities

• Infrastructure Leadership: Design and deploy highly scalable, resilient infrastructure solutions using GCP and GDC.

• Advanced Automation: Drive the implementation of Infrastructure as Code (IaC) using Terraform or Google Cloud Deployment Manager to automate intricate provisioning across cloud and edge.

• Edge & Manufacturing Excellence: Implement and support Manufacturing Edge Connect use cases, ensuring seamless integration between industrial hardware and the cloud.

• Data Architecture: Develop and maintain Data Hub architectures for centralized data ingestion, processing, and analytics.

• DevOps & CI/CD: Spearhead the integration of DevOps methodologies, guiding developers to establish sophisticated CI/CD pipelines.

• Security & Compliance: Enforce stringent security measures and ensure robust compliance (GDPR, HIPAA, CIS) across distributed environments.

• Monitoring & Resilience: Establish comprehensive monitoring, alerting, and logging; formulate disaster recovery procedures for mission-critical systems.

• Cross-Functional Collaboration: Partner with data scientists, industrial engineers, and software developers to deliver end-to-end solutions that align with complex business requirements.

Qualifications

• 1. Cloud & Edge Expertise

  • 4+ years of hands-on experience with GCP, showcasing expertise in designing, deploying, and managing cloud-based infrastructure.

  • Direct experience with Google Distributed Cloud (GDC) and deploying solutions in edge/industrial environments.

  • Proficiency in Kubernetes (GKE) and container orchestration at scale.

  2. Data & Networking

  • Data Services: Skilled in optimizing BigQuery, Cloud SQL, Dataflow, Firestore, Bigtable, Dataproc, and Pub/Sub.

  • Edge Integration: Proven ability to integrate edge systems with cloud platforms ensuring secure, low-latency, and scalable data flow.

  • Networking: Strong understanding of hybrid connectivity, VPCs, and secure edge-to-cloud networking.

  3. Automation & Scripting

  • Expertise in Terraform or similar IaC tools.

  • Proficiency in Python or Bash for automation and configuration management.

  • Comfortable managing both Linux and Windows operating systems.

  4. Soft Skills & Education

  • Problem-Solving: Ability to diagnose and resolve intricate infrastructure bottlenecks under pressure.

  • Communication: Excellent ability to translate complex technical concepts for diverse stakeholders.

  • Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

  • Certifications: GCP Professional Cloud Architect or Associate Cloud Engineer (Highly Preferred).

P-375

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Staff Software Engineer working on the Data Platform team, you will leverage bleeding-edge AI developer tools and techniques to help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, and many more. You will define the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, just to name a few.

The impact you will have:

• Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protection and ease of shareability for the Data Intelligence Platform as we transition to a public company.
• Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
• Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
• Build reliable data pipelines and solve data problems using Databricks, our partner’s products, and other OSS tools. Provide early feedback on the design and operations of these products.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
• 10+ years of industry experience building and operating large-scale distributed systems.
• 4+ years of experience providing technical leadership on planet-scale production data systems 
• Experience leading architecture efforts for performance-sensitive systems (e.g., latency-critical services, multi-tenant platforms, large-scale indexing pipelines).
• Strong communication skills and the ability to operate effectively in fast-paced, cross-functional environments.
• A strategic mindset with the ability to align engineering execution with longer-term product and company goals.
• Passion for mentoring and developing other engineers.

P-1348

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Senior Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.

The impact you will have:

• Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.
• Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.
• Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
• Design the base ETL framework used by all pipelines developed at the company.
• Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
• Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.
• Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• 6+ years of industry experience 
• 4+ years of experience providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security.
• Experience building, shipping and operating reliable multi-geo data pipelines at scale.
• Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools.
• Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems.
• Excellent cross-functional and communication skills, consensus builder.
• Passion for data infrastructure and for enabling others by making their data easier to access.

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.

P-1346

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. 

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies, timely & accurate billing,  cost optimisation tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers.

As one of the first engineers for Money at Databricks India, you will be key to building a base for one of Databricks’ most central engineering teams. You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialisation motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers.

The impact you will have:

• Own Money systems and services that govern usage of all Databricks products and offerings.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 12+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Proven track record in architecting, developing, deploying, and operating large scale distributed systems.
• Experience with software security and systems that handle sensitive data.
• Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
• A proactive approach and a passion for delivering high-quality solutions
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

P-1348

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.

The impact you will have:

• Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.
• Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.
• Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
• Design the base ETL framework used by all pipelines developed at the company.
• Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
• Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.
• Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• 12+ years of industry experience 
• 4+ years of experience building large scale distributed systems
• 5+ providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security.
• Experience building, shipping and operating reliable multi-geo data pipelines at scale.
• Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools.
• Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems.
• Excellent cross-functional and communication skills, consensus builder.
• Passion for data infrastructure and for enabling others by making their data easier to access.

Join the Trackonomy Team! 

Want to be part of the next hyper-growth IoT story in Silicon Valley? Our seasoned leadership team has successfully grown the company 100x in four years while securing top VC investors like Kleiner Perkin and 8VC. We have paying customers and are rapidly scaling in the United States and Internationally. Are you looking for a high-energy, fast-paced, team-oriented environment that challenges your talents daily with cutting-edge technologies that solve global problems across multiple markets? Join the Trackonomy Team; we offer opportunities to talented professionals covering all engineering disciplines while creating  unique opportunities for career growth. 

About Trackonomy:

Trackonomy aims to make people and organizations more productive through our next-generation operating system for the connected world. Our unique diversity of technologies allows us to create building blocks and vertically integrated, configurable platforms that enable our customers to drive digital transformation throughout their organization. We have a successful track record of leading initiatives at multibillion-dollar businesses in the Logistics, Industrial, Healthcare, Homeland Security spaces, and more. Despite being in strategic stealth mode, our solutions have been on ABC, CNBC, CNN, FOX, and even featured during US Senate hearings. In 2019 we joined AirBnB, Google, and Twitter as a recipient of the prestigious World Economic Forum Pioneer Award! We have raised over $250 million from top investors, including Kleiner Perkins and 8VC. Trackonomy is headquartered in San Jose, California, in the heart of Silicon Valley. 

Summary:

We are seeking a DevOps Engineer to enhance development and operations processes by implementing efficient automation, cloud infrastructure management, and scalable DevOps practices. The role involves collaborating with cross-functional teams to build and maintain reliable CI/CD pipelines, develop Infrastructure as Code (IaC) solutions, and optimize the performance, scalability, and reliability of cloud-based services. The engineer will also implement monitoring tools, manage security and access controls, and contribute to testing, debugging, and documentation to support high-quality, enterprise-grade deployments.

Essential Duties and Responsibilities:

• Work closely to develop and adopt innovative tools to make Development and Operation processes more efficient.
• Collaborate as a part of a cross-functional team of developers to optimize the performance, scale and reliability of a variety of cloud services.
• Thoroughly implement DevOps designs, practices, and procedures.
• Build and maintain robust CI/CD pipelines for business-critical applications.
• Develop IaC functions for cloud-based environments.
• Implement and manage monitoring tools to improve systems availability.
• Collaborate with QA to implement both manual and automated tests, debug and integrate DevOps code, and code reviews.
• Write high quality code that is compliant with industry and enterprise requirements.
• Manage security and access control systems.
• Write and iterate technical documentation.

Additional Duties and Responsibilities:

• Perform other duties and responsibilities as needed

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.
• Proven experience as a DevOps Engineer or similar role.
• Should have experience in Azure for 3 years full-time (AWS/GCP experience is a plus).
• Should have experience in Git, GitHub Actions and Azure DevOps.
• Should have experience in CI/CD Pipelines
• Should have experience in Docker and Azure Kubernetes Services (AWS EKS experience is a plus)
• Experience in Terraform/Ansible.
• Experience in Azure repos, Azure EventHub, Azure Gateway and Azure APIM
• Experience in IAM - Identity & access management.
• Experience in scripting (Shell scripting or Python).
• Experience in DevSecOps is a plus.
• Strong attention to details and a high level of accuracy in all tasks.
• Proficient time-management skills and the ability to multitask effectively in a fast-paced environment.
• A proactive and adaptable approach to problem-solving and decision-making.
• Ability to work independently or with a team on multiple projects in a fast-paced environment.
• Excellent interpersonal, verbal and written communication skills

Trackonomy Systems is proud to ensure equal employment opportunities to all individuals regardless of their race, color, religious creed, national origin, ancestry, physical or mental disability, sex, gender, gender identity, gender expression, sexual orientation, age, medical condition, genetic information, marital or registered domestic partnership status, military or veteran status, or any other characteristic protected by state, federal, or local law. 

We strive to provide a stellar experience throughout the application process and ensure all applicants will be given proper consideration based solely on merit and Trackonomy’s business needs.

Trackonomy Systems is dedicated to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need assistance or accommodation due to a disability while interviewing, please contact hr@trackonomysystems.com.

Position Summary:

Avathon’s Industrial AI Suite is the world's leading AI enabled SaaS platform that provides asset performance management and prescriptive analytics software to ever growing Aviation, Manufacturing, Mining, Renewable and Oil & gas energy power plants by combining the power of machine learning, big data, and deep domain expertise. Our Data Engineering and Science platform works across multiple capital intensive industrial asset types to offer insights to our customers.

Join us in developing and applying cutting-edge Enterprise Data Engineering solutions for commercial and industrial AI SaaS applications. We are looking for candidates with strong expertise in large scale Data Engineering, building scalable ETL pipelines to enable our AI enabled Saas Asset Performance Management. As a Senior Data platform Engineer you will be working closely with team members across domains with deep technical skills and Industrial AI domain. 

What you will do:

• Work on engineering projects to design, construct, install, test and maintain highly scalable data management systems (data lakes, warehouses, pipelines) to ensure secure, efficient data flow and accessibility for analytics and AI/ML
• Building robust ETL pipelines and automating data workflows. Focus on automating data management, implementing DevOps principles (CI/CD, monitoring), and collaborating on data architecture.
• Utilise Key tools include Python, SQL, Cloud platforms (AWS/Azure/GCP), Kafka, Spark, and Docker. 
• Developing and maintaining scalable ETL and MLOps pipelines and workflows.
• Enforcing data quality rules to ensure consistency, completeness, and accuracy across ETL processes.
• Designing, constructing, testing, and maintaining highly scalable data management systems.
• Mentoring a team of Data Analysts, Data Engineers, and Data Quality Specialists.
• Fostering a culture of continuous learning, collaboration, and data-driven decision-making.

You’ll have:

• Excellent programming skills in Python, along with deep expertise in relational databases (MSSQL/MySQL/Postgres).
• 5+ years of hands-on experience in data engineering with a solid foundation in architecture principles.
• 1+ years of leadership or mentorship experience of data teams.
• Strong understanding of serverless architectures and building scalable ETL pipelines.
• Effective communication and leadership skills, capable of driving projects to completion.
• People and project management experience is a plus.

It would be great if you had:

• Experience in Industrial Engineering Systems like IoT time series data or even old legacy systems e.g. PLC, SCADA systems.
• Experience with cloud-native tools, particularly AWS or GCP.
• Willingness to adopt new technologies to enhance data quality and ETL processes.
• Hands-on experience in DevOps, focusing on cloud-native technologies.
• Expertise in debugging and troubleshooting ETL pipelines, data transformations, and integrity issues.

Other requirements:

This is 5 days onsite work week schedule

A design/ coding challenge is a prerequisite for this position.

This position is located in India. 

Join the Trackonomy Team! 

Want to be part of the next hyper-growth IoT story in Silicon Valley? Our seasoned leadership team has successfully grown the company 100x in four years while securing top VC investors like Kleiner Perkin and 8VC. We have paying customers and are rapidly scaling in the United States and Internationally. Are you looking for a high-energy, fast-paced, team-oriented environment that challenges your talents daily with cutting-edge technologies that solve global problems across multiple markets? Join the Trackonomy Team; we offer opportunities to talented professionals covering all engineering disciplines while creating  unique opportunities for career growth. 

About Trackonomy:

Trackonomy aims to make people and organizations more productive through our next-generation operating system for the connected world. Our unique diversity of technologies allows us to create building blocks and vertically integrated, configurable platforms that enable our customers to drive digital transformation throughout their organization. We have a successful track record of leading initiatives at multibillion-dollar businesses in the Logistics, Industrial, Healthcare, Homeland Security spaces, and more. Despite being in strategic stealth mode, our solutions have been on ABC, CNBC, CNN, FOX, and even featured during US Senate hearings. In 2019 we joined AirBnB, Google, and Twitter as a recipient of the prestigious World Economic Forum Pioneer Award! We have raised over $250 million from top investors, including Kleiner Perkins and 8VC. Trackonomy is headquartered in San Jose, California, in the heart of Silicon Valley. 

Summary:

We are looking for a detail-oriented Mobile Application Developer who can build high-quality, scalable, and performance-optimized mobile applications. This role requires strong ownership, deep troubleshooting skills, and experience working across Android, iOS, and/or cross-platform technologies.

You will work on complex, real-world applications (not demo or tutorial-level apps) and collaborate closely with backend, firmware, and product teams.

Technology Stack:

• iOS: Swift, SwiftUI
• Android: Kotlin, Jetpack, Jetpack Compose
• Cross-platform: Flutter (Dart), Kotlin Multiplatform (KMP)

Responisbilities:

• Design and develop production-grade mobile applications with clean, maintainable architecture

• Implement MVVM / Clean Architecture with proper state management

• Build offline-first features and reliable data synchronization

• Develop custom UI components and smooth animations

• Debug and resolve complex issues such as memory leaks, race conditions, and performance bottlenecks

• Optimize startup time, memory usage, and battery consumption

• Profile applications using Android Profiler, Xcode Instruments, and Flutter DevTools

• Work with Android & iOS BLE stacks for device connectivity

• Stay current with platform updates, new frameworks, and best practices

• Participate in code reviews with strong attention to detail

Nice to Have:

• Experience with IoT or connected devices

• BLE-based device provisioning or OTA updates

• CI/CD pipelines for mobile apps

• Experience in product-based or startup environments.

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent practical experience)

• 3–8 years of hands-on experience in mobile application development.

• Solid understanding of mobile app architecture (MVVM, Clean Architecture)

• Experience implementing offline-first features and data synchronization

• Proven experience debugging complex issues such as memory leaks, race conditions, and performance bottlenecks.

Trackonomy Systems is proud to ensure equal employment opportunities to all individuals regardless of their race, color, religious creed, national origin, ancestry, physical or mental disability, sex, gender, gender identity, gender expression, sexual orientation, age, medical condition, genetic information, marital or registered domestic partnership status, military or veteran status, or any other characteristic protected by state, federal, or local law. 

We strive to provide a stellar experience throughout the application process and ensure all applicants will be given proper consideration based solely on merit and Trackonomy’s business needs.

Trackonomy Systems is dedicated to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need assistance or accommodation due to a disability while interviewing, please contact hr@trackonomysystems.com.

Position Summary:

We are seeking an experienced DevOps Engineer to join our dynamic team operating in an agile development environment. The ideal candidate will have a solid foundation in DevOps across building software pipelines, creating repeatable deployments, and experience with various infrastructure components in the cloud. As a Sr. DevOps Engineer you will be working closely with team members across domains with deep technical skills and passion for AI.

You Will:

• Design and continuously improve the infrastructure for cloud-based services and client interfaces
• Manage the day-to-day operations of our build, testing, and continuous integration environment
• Work with internal IT, Software Engineers, Cloud Architects, and fellow DevOps Engineers to build & maintain dev & prod environments
• Implement best practices for always-up, always-available services
• Proactively communicate project & task status to project stakeholders
• Occasional on-call support and customer meetings may include irregular hours as needed

You'll Have Skills:

• Kubernetes Architecture & Operations: 2+ years of experience managing production-grade clusters (GKE preferred), including expertise in K8s internals, Helm chart creation, Service Mesh (Istio), and autoscaling strategies (HPA/VPA).
• GitOps & CI/CD: Proven ability to design container-native pipelines and manage cluster state using GitOps methodologies (ArgoCD) alongside standard CI tools.
• Infrastructure as Code (IaC): Experience on Terraform for provisioning cloud resources and bootstrapping clusters.
• Observability & Reliability: Hands-on experience on full-stack observability for microservices using Prometheus, Grafana, ELK/Loki, and distributed tracing to ensure system reliability and rapid incident response.
• Core Engineering Foundation: 2+ years in DevOps/Linux Administration with strong scripting proficiency (Python, Bash, or Go) and a track record of automating workflows in fast-paced cloud environments.

**A PLUS if you provide the link to your GitHub Website

As a Senior Data Engineer in the Engineering team: 

Data engineering team builds the robust pipelines that feed the analytics driving the renewable energy sector, enabling real-time monitoring, forecasting, predictive maintenance, and grid optimization for solar, wind, and other sources, ensuring efficiency, reliability, and effective integration into smart grids by managing massive data flows from IoT devices, PLC systems and smart meters. In essence, data engineers create the "data highways" that allow data scientists and AI to turn raw energy data into actionable intelligence, making renewable energy systems smarter, more efficient, and more reliable for a sustainable future

Join us in:

• Building and optimizing data architectures to handle large-scale data from various sources IoT, PLC, SCADA including cloud and on-premise systems.
• Architecting scalable ETL and data workflows to support advanced analytics and machine learning models in Renewable domains
• Collaborating with cross-functional teams to deliver end-to-end data solutions that drive business insights.
• Owning and leading projects that focus on data platform modernization, ensuring high performance, security, and scalability.
• Working on complex data engineering challenges that push the boundaries of cloud data infrastructure.

You'll have:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience designing and implementing large-scale data platforms, with at least 2 years of experience leading or mentoring data engineers.
• Hands-on experience with Python (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka.
• Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses.
• Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake.
• Familiarity with workflow orchestration tools like Airflow or Prefect.
• Proven ability to lead data engineering teams and mentor junior engineers.

It would be great if you have:

• Experience working with IoT or real-time streaming data.
• Knowledge of data governance frameworks and best practices.
• Exposure to MLOps workflows and integrating data with machine learning models.
• Experience in the energy or manufacturing sector or familiarity with time-series data.
• A strong understanding of data warehousing concepts, including Kimball model design.
• A deep understanding of data security and compliance requirements, particularly in cloud environments.

**A PLUS if you provide the link to your GitHub Website

This position is located in India. 

Join the Trackonomy Team! 

Want to be part of the next hyper-growth IoT story in Silicon Valley? Our seasoned leadership team has successfully grown the company 100x in four years while securing top VC investors like Kleiner Perkin and 8VC. We have paying customers and are rapidly scaling in the United States and Internationally. Are you looking for a high-energy, fast-paced, team-oriented environment that challenges your talents daily with cutting-edge technologies that solve global problems across multiple markets? Join the Trackonomy Team; we offer opportunities to talented professionals covering all engineering disciplines while creating  unique opportunities for career growth. 

About Trackonomy:

Trackonomy aims to make people and organizations more productive through our next-generation operating system for the connected world. Our unique diversity of technologies allows us to create building blocks and vertically integrated, configurable platforms that enable our customers to drive digital transformation throughout their organization. We have a successful track record of leading initiatives at multibillion-dollar businesses in the Logistics, Industrial, Healthcare, Homeland Security spaces, and more. Despite being in strategic stealth mode, our solutions have been on ABC, CNBC, CNN, FOX, and even featured during US Senate hearings. In 2019 we joined AirBnB, Google, and Twitter as a recipient of the prestigious World Economic Forum Pioneer Award! We have raised over $250 million from top investors, including Kleiner Perkins and 8VC. Trackonomy is headquartered in San Jose, California, in the heart of Silicon Valley. 

Summary:

You will be a core engineer of our early-stage team. We work on everything from machine learning, to security, to high performance computing, to IoT devices, to dynamic web apps, etc. Don’t be surprised if you get to touch every system while you work here, often teaming up with other team members on critical work. Candidates must be comfortable working with microcontrollers and low-level hardware control in a test-driven development environment. The ideal candidate will have experience working with wireless communications modules, IoT technologies, RF protocols and have great troubleshooting and prototyping skills. You will be a role model and live our Vision, Mission, and Values.

Qualifications: 

• 3- 7 years embedded code experience, with emphasis on C
• Bachelor / Masters of Electronics Engineering and 4 years of experience
• Experience with micro controllers and low-level hardware control programming
• Experience with low power embedded devices
• Experience with real time embedded systems
• Experience with firmware development, testing, and system level bring up and debugging
• Experience in working with wireless communications modules (like BLE, LORA, 4G, NB IoT), IoT technologies, RF protocols
• Experience with Nordic (or similar) Semiconductor platforms
• Candidates must have hands-on experience on Linux.
• Exposure to multi-threaded design and implementation.
• Must have hands on experience on GIT
• Good interpersonal, organizational and communication skills
• Team player, be capable of sharing knowledge, learn from others, and support other groups within an organization
• Self-starter, highly motivated

Preferred skills:

• Knowledge about firmware development best practices including proper testing, documentation, debugging, and code review.
• Experience developing bootloaders and firmware over the air update
• Experience on evolving embedded sensor technologies and networks
• Knowledge of one or more scripting languages (Python)
• Basic understanding of subsystem interfacing and I2C, SPI as well as other standard chip interface protocols
• Comfortable reading and interpreting complex electrical schematics
• Experience with embedded network exchange protocols like with RSTP, PTP, LLDP and UDP/TCP is highly regarded

Trackonomy Systems is proud to ensure equal employment opportunities to all individuals regardless of their race, color, religious creed, national origin, ancestry, physical or mental disability, sex, gender, gender identity, gender expression, sexual orientation, age, medical condition, genetic information, marital or registered domestic partnership status, military or veteran status, or any other characteristic protected by state, federal, or local law. 

We strive to provide a stellar experience throughout the application process and ensure all applicants will be given proper consideration based solely on merit and Trackonomy’s business needs.

Trackonomy Systems is dedicated to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need assistance or accommodation due to a disability while interviewing, please contact hr@trackonomysystems.com.