Role

We are looking for a Senior Technical Support Engineer to join our Global Customer Support department. This role is Bangalore based, reporting to the Team Lead,Technical Support Emerging Technology. You'll be an important contributor to solving challenges faced by our client-facing teams to help make Zscaler more efficient in meeting our customers' needs. You will help facilitate smooth transitions during organizational change efforts and promote employee adoption across the team.

What you’ll do (Role Expectations)

• Diagnose and troubleshoot customer issues, and provide effective solutions within the required SLA

• Support the technical aspect of the onboarding process for new customers

• Document and track customer interactions, issues, and resolutions

• Collaborate with cross-functional teams, including Engineering and Product, to escalate and resolve complex technical issues

• Identify and write internal and external technical articles or knowledge-base entries, such as typical troubleshooting steps, workarounds, or best practices

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose

What We’re Looking for (Minimum Qualifications)

• 6+ years of practical experience in customer support or a related field

• Programming experience or knowledge in Python

• Experience in data modeling methodologies and advanced SQL

• Self-learner and independent team player with a strong customer service orientation

• Strong analytical and troubleshooting skills with a creative approach to problem-solving

What Will Make You Stand Out (Preferred Qualifications)

• 4+ years of practical experience in data analytics

• Familiarity with cybersecurity products such as SIEM or vulnerability assessment tools

• Bachelor's degree in Information Technology, Industrial Engineering, Computer Science, or a relevant field

#LI-Hybrid 

#LI-RG

So, what’s the role all about?

As a Specialist Automation Engineer. You will be part of a cross-functional Scrum team that develops and supports specific components of our end product. You will be working hand in hand with the other R&D people. You will be involved in new feature development; provide input to POs and developers on the correct behavior of the system. You own the quality of the product, taking full responsibility for all functional – but also non-functional – aspects, like performance, stability, security, and maintainability. Serve as the quality leader for the group and is accountable for the product quality. Drive the team for continues improvement and innovate with quality assurance practices.

How will you make an impact?

Drive an AI-first quality mindset, leveraging automation and data insights to improve testing, defect detection, and overall product quality

Design and execute AI-assisted test strategies (manual, automation, unit, integration, E2E, exploratory) for web and backend to ensure strong coverage

Own end-to-end quality of modules and releases, ensuring standards, reliability, and customer expectations are met

Identify defects early, proactively diagnose issues, and continuously improve test coverage and risk mitigation

Lead test automation efforts and define QA strategy, deliverables, and ownership across the team

Contribute to Discovery and Epic reviews, partner with stakeholders to identify risks, shape requirements, and ensure environment readiness and stability

Have you got what it takes?

B.E./B.Tech in Computer Science, Industrial, or Electronics Engineering

8–11 years of experience as an Automation QA Engineer

Strong experience in test planning and execution for scalable applications

Hands-on with Playwright (TypeScript/JavaScript); knowledge of Java/JavaScript is a plus

Experience with AI-driven testing approaches and test management tools (TestLink, Xray)

Good understanding of Agile (Scrum/Kanban) methodologies

Experience with API testing (Postman), SQL, and microservices architecture

Familiarity with virtual environments, Windows, and shell operations

Hands-on in functional and non-functional testing with a strong quality mindset

You will have an advantage if you also have:

Experience in web & backend testing

Knowledge of HTTP and cloud (AWS preferred)

Exposure to Telecom/UC systems

Experience in risk-based testing & CI/CD

ISTQB/ISEB/TMap certification is a plus

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10799

Reporting into:  Tech Manager
Role Type: Individual Contributor

Job Title: QA Data Engineer

Location: Any Orion Innovation office in India(Pune/Mumbai/Kochi/Coimbatore/Chennai/Hyderabad)

Work type: Hybrid 

Role Description / Responsibilities

A technically skilled QA professional specialising in validating data platforms, ETL pipelines, analytical models, and large‑scale data transformations. The QA Engineer works closely with developers, data engineers, product teams, and business SMEs to ensure the quality, reliability, and accuracy of data assets across the delivery lifecycle. of our digital data audit products.

Core Responsibilities

Data Testing & Quality Assurance

• Design, develop, and execute test plans for data & analytics products, including ingestion pipelines, transformations, data models, and dashboards.
• Apply robust testing techniques for data completeness, consistency, accuracy, timeliness, and lineage.

Technical & Platform Responsibilities

• Write and execute SQL/PL‑SQL queries for data verification, profiling, and root‑cause analysis.
• Use Databricks to inspect data, validate notebook logic, execute test scripts, and investigate transformation failures.
• Work with Delta Lake, Spark DataFrames, and related components to test scalable data processing.

ETL/ELT and Pipeline Testing

• Validate end‑to‑end ETL/ELT workflows.
• Ensure correctness of data transformations and seamless movement between data layers.
• Conduct regression testing following schema evolution, code updates, or pipeline refactoring.

Collaboration & Delivery Practices

• Work closely with Data Engineers, Developers‑in‑Test, Business SMEs, and Product Owners to ensure high‑quality delivery.
• Provide clarity on data issues, identify root causes, and support resolution.
• Participate in refinement sessions to assess testability of new features and data logic.
• Contribute to automation frameworks, promoting continuous integration of data tests.

Automation & Scripting (Desirable)

• Develop automated test scripts using Python, PySpark, or Pandas.
• Contribute to automated test frameworks that validate transformations and data quality at scale.

Skills & Experience

Mandatory

• Proven experience testing data and analytics platforms.
• Advanced SQL and PL/SQL skills.
• Hands‑on experience with Databricks (notebooks, Delta Lake, Spark).
• Strong understanding of ETL concepts and data transformation methodologies.
• Experience validating large datasets, data pipelines, and data models.

Desirable

• Python for test automation and data manipulation.
• PySpark for distributed data testing.
• Pandas for lightweight automation and exploratory validation.
• Exposure to CI/CD, data observability tools, or version control (Git).

Main Purpose of Job

This is a senior hands-on data engineering role supporting the delivery, maintenance, and improvement of our client's data platform and data warehouse services.
The role combines hands on development with technical oversight of distributed delivery teams. It is responsible for designing and maintaining reliable data pipelines, ETL processes, data models, APIs, and supporting AWS based services, while ensuring delivery aligns with development standards, architecture principles, and operational expectations.
The role will work across technologies including AWS S3, AWS Lambda, AWS Fargate, AWS Glue, Amazon Redshift, SQL, and Python. It will also provide day to day technical guidance and review for offshore development teams, helping ensure that work is correctly understood, appropriately designed, well implemented, tested, and suitable for long term support.

Knowledge, Skills and Experience

Essential Knowledge

• Proven experience as a Senior Data Engineer, Data Warehouse Developer, Data Engineer, or similar technical data role.
• Experience developing and maintaining data warehouse solutions and ETL processes.
• Strong understanding of data modelling, data transformation, and data quality principles.
• Experience working with cloud based data engineering services.
• Strong understanding of software engineering good practice, including maintainability, version control, testing, review, and documentation.
• Experience working in Agile delivery environments.
• Experience working with distributed, offshore, near shore, or third party development teams.
• Ability to provide technical guidance and challenge implementation decisions constructively.
• Ability to challenge proposed designs and implementations where they create risk around maintainability, performance, data quality, security, or supportability.
• Effective communication skills, with the ability to work with both technical and non technical stakeholders.
• Familiarity with Jira and Confluence for project and delivery management.

Essential Functional / Technical Skills

• Strong SQL skills, including query optimization, data transformation, modelling, reconciliation, and validation.
• Strong Python skills for data engineering, automation, ETL, or API development.
• Experience with AWS S3 for data storage and data exchange.
• Experience with AWS Glue or similar ETL tooling.
• Experience with Amazon Redshift or similar cloud data warehouse technology.
• Experience with AWS Lambda, AWS Fargate, or similar serverless/container-based services.
• Experience developing, supporting, or integrating APIs used by data platforms or downstream systems.
• Experience with data quality checks, validation, reconciliation, and production support of data pipelines.
• Familiarity with GitHub or similar version control tools.
• Understanding of CI/CD, environment management, deployment safety, and operational support.

Desirable

• Experience providing technical oversight to offshore or near shore delivery teams.
• Experience with infrastructure as code tools such as Terraform.
• Experience with Java or other backend development languages.
• Familiarity with AWS IAM, secrets management, access control, and cloud security fundamentals.
• Experience with data governance, data lineage, and data catalogue tooling.
• Experience with reporting, BI, or analytics platforms.
• Experience working in high traffic, consumer, ecommerce, media, sport, or membership-based organizations.

What we offer:

•     Dynamic and supporting international teams.
•     Regular assessments and performance reviews. You will have the opportunity for promotion, bonuses and a raise in accordance with the pace at which you develop and your performances.
•     Hybrid or office work.
•     20-25 vacation days per year.
•     4 days of sick leave (100% paid)
•     Equipment for work, laptop and all necessary additions.
•     Access to trainings and courses.
•     Private health insurance.
•     FIT Pass card for many sports’ facilities

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

Complexity in consumer systems is growing exponentially, creating new challenges in sensing, data processing, and system intelligence. Leveraging advanced sensor and signal processing technologies, we are addressing these challenges with innovative approaches. We are looking for an energetic Senior Firmware Engineer who can bridge these technologies with novel software solutions, algorithms, and machine learning primitives.

Required skills:

• Ability to work on communication stacks, in-depth domain knowledge on Bluetooth Classic, Bluetooth LE, Bluetooth Audio, Multipoint, Auracast, Controller stack protocols, BLE profiles/Services.
• Ability to work on system level architecture; ability to create and maintain system level solutions comprised of state-of-the-art hardware and software components and provide documentation for our products.                                   
• Development experience with functions and protocols such as TWS Role switch, fast pairing, voice assistants, Conformance and Teams certifications.
• Ability to understand complex customer application ecosystems and integrate our product offerings.
• Prior experience in developing and debugging all aspects of system software. This includes understanding overall system performance from both a hardware and software perspective.

Qualifications:

• BS or MS in Electrical or Computer Engineering or related field
• 5+ years of Industrial experience in firmware development
• Strong C/C++ and Python programming skills
• Strong knowledge of digital signal processing (DSP) and algorithm development experience
• Experience with communication stacks including Bluetooth classic, BLE USB, SDIO WiFi, Bluetooth & WiFi interoperability.
• Strong knowledge of Tensilica HiFi, Kalimba DSP cores and Bluetooth Audio Frameworks
• Hands on experience with integrating, building, and testing of multi-threaded applications.
• Experience with embedded real-time operating systems
• Experience with SCM tools (GIT, SVN, Clearcase, Perforce, etc.)
• Strong analytical and problem-solving abilities
• Experience with defect tracking tools (Jira, Bugzilla, etc.)
• Strong working knowledge of a software development process (e.g., Agile, Waterfall)
• Application of Object-Oriented concepts and methodologies
• Strong system level knowledge in audio, video and TWS domains

What we offer: 

• Dynamic and supporting international teams.
• Regular assessments and performance reviews. You will have the opportunity for promotion, bonuses and a raise in accordance with the pace at which you develop and your performance. 
• Remote, hybrid or office work.
• 20-25 vacation days per year.
• Equipment for work, laptop and all necessary additions.
• Access to training and courses.
• Private health insurance.
• FIT Pass card for many sports facilities. 

The Team:

As a Applied Value Engineer you are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Team and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor to help them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will help customers drive measurable business impact across various processes and industries and accelerate their adoption of our platform. You will blend process and industry expertise with a consulting skill set, an AI-solution mindset, and strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The Role and work you'll do:

Identify & Frame Value

• Discover and translate customers’ strategic priorities into high-impact Celonis use cases
• Support customers and partners in building business cases, leveraging industry benchmarks and best practices in order to retain and scale customers, driving Annual Recurring Revenue (ARR) growth
• Orchestrate Value Assessments and support in communicating value opportunities and strategic roadmaps to C-Level executives

Realize Value

• Guide customers and partners on how to use Celonis to identify and qualify opportunities for process enhancement
• Drive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
• Support presentation of results and realized value to senior management and C-level executives

Scale Value

• Responsible for the customer value journey, driving expansion, adoption, and renewals
• Partner with customers to develop strategic Celonis roadmaps embedding Celonis Process Intelligence as a strategic business transformation platform in their organization
• Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases

The qualifications you need:

• Live for Customer Value: Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Customer Success, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy.
• Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP), experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Knowledge of Python and/or SQL. Experience in collaborating with IT teams.
• Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value.
• Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English.
• Business Domain Expertise: Understanding of the Finance and/or Supply Chain domain as well as strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation).
• Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, Economics or a comparable degree program.

So, what’s the role all about?

Senior Automation Engineer is responsible for ensuring the quality and reliability of web applications through a combination of manual and automated end‑to‑end testing. The role involves designing and maintaining scalable automation frameworks, executing hybrid test strategies, and leveraging AI agents to accelerate automation and improve test coverage. This position may operate in a US‑shift model and requires close collaboration with cross‑functional teams to troubleshoot issues, integrate automation into CI/CD pipelines, and deliver high‑quality product releases.

How will you make an impact?

Conduct comprehensive e2e testing of web applications using both manual techniques and automated tools.

Develop, enhance, and maintain automation frameworks using industry standard tools and libraries‑standard tools and libraries. Integrate automated accessibility checks into CI/CD pipelines to enforce shift-left accessibility practices. Document findings with clear, actionable defect descriptions, screenshots in our test management system (i.e. JIRA)

Analyses information solves problems and reaches conclusions within his/her professional space. Create and execute automation E2E test cases for web applications along with data generation. 

Responsible for defined tasks of low to medium complexity. 

Good understanding of subject matter theory, professional concepts and their application within professional space. Attend training to continue to enhance existing knowledge in technical and non-technical areas. Adheres to Defined SDLC processes. 

Have you got what it takes?

B.E./B. Tech in Computer Science, Industrial/Electronic Engineering.

5 to 7 years of experience in IT as Automation QA Engineer.

4 + years of hands-on experience in UI Automation testing

Expert in designing test strategy, test cases, test plans.

Playwright equivalent UI testing tools

Languages Typescript/Java/JavaScript

Experience with CI/CD tools like Jenkins.

Experienced with defect management and tracking tools, preferably Jira.

Experience working in Agile methodology.

Exposure to AI tools like GitHub Copilot, Claude code or equivalent..

You will have an advantage if you also have:

ISTQB Certified or equivalent

Desirable to have knowledge of API validations using Postman or RestAPI. 

Desirable to have knowledge of Cloud services like AWS. 

Excellent communication skills, very good English

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10495

Reporting into:  Tech Manager
Role Type: Individual Contributor

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.

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).

Role Overview

We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.

As a Solutions Engineer, you will act as a trusted advisor, combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform.

You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows.

Key Responsibilities

• Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
• Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions
• Build and showcase AI-driven workflows, automations, and agentic use cases
• Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
• Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
• Deliver tailored demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
• Support integrations with external systems via APIs, webhooks, and data pipelines
• Contribute to technical proposals, RFP/RFI responses, and solution architectures
• Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations

Qualifications & Skills

Domain Expertise 

• Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments
• Strong understanding of:
• Connected systems (vehicles, machines, robotics, embedded systems)
• Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)
• Real-world data (signals, logs, time-series)
• Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
• Ability to explain data flow from system → processing → business outcomes

Engineering Depth

• Strong system-level thinking
• Experience with:
• Data pipelines, APIs, integrations, distributed systems
• Experience in Python / TypeScript / JavaScript (or similar)
• Understanding of system design, reliability, and failure handling
• Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)

Problem Solving & Use Case Thinking

• Ability to translate data → insights → workflows → actions
• Experience designing end-to-end systems
• Strong analytical mindset to identify automation opportunities from real-world signals

AI & Tools

• Exposure to LLMs, RAG, AI agents
• Familiarity with prompt design and AI workflows
• Tools: Postman, GitHub, Jira, Cursor, Claude Code

Role Overview

We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.

As a Solutions Engineer, you will act as a trusted advisor, combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform.

You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows.

Key Responsibilities

• Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
• Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions
• Build and showcase AI-driven workflows, automations, and agentic use cases
• Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
• Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
• Deliver tailored demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
• Support integrations with external systems via APIs, webhooks, and data pipelines
• Contribute to technical proposals, RFP/RFI responses, and solution architectures
• Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations

Qualifications & Skills

Domain Expertise 

• Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments
• Strong understanding of:
• Connected systems (vehicles, machines, robotics, embedded systems)
• Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)
• Real-world data (signals, logs, time-series)
• Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
• Ability to explain data flow from system → processing → business outcomes

Engineering Depth

• Strong system-level thinking
• Experience with:
• Data pipelines, APIs, integrations, distributed systems
• Experience in Python / TypeScript / JavaScript (or similar)
• Understanding of system design, reliability, and failure handling
• Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)

Problem Solving & Use Case Thinking

• Ability to translate data → insights → workflows → actions
• Experience designing end-to-end systems
• Strong analytical mindset to identify automation opportunities from real-world signals

AI & Tools

• Exposure to LLMs, RAG, AI agents
• Familiarity with prompt design and AI workflows
• Tools: Postman, GitHub, Jira, Cursor, Claude Code

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.

Integrations (API) Engineer – Data Platform

Experience- 4-6 years

Location- Kochi, Chennai, Coimbatore, Mumbai, Pune

We are seeking an Integrations (API) Engineer to design, build, and manage APIs that expose data products from the data platform to downstream applications.

This role is responsible for ensuring that data is delivered reliably, securely, and in a way that is consumable by applications, acting as the bridge between the data platform and consuming systems.

Role Purpose

• Enable Data as a Service (DaaS) through well-designed APIs
• Ensure data products are consumable, performant, and reliable
• Act as the interface between data engineering and application teams

🔧 Key Responsibilities

API Design & Development

• Design and build APIs that expose data products
• Define:
• Endpoints
• Request/response structures
• Payload formats
• Ensure APIs align with data contracts and product definitions

Integration with Data Platform

• Partner with Data Engineers to consume curated datasets correctly and avoid duplicating transformation logic already handled upstream

• Ensure data delivered through APIs is governed, accurate, and fit for purpose

Consumer Integration Support

• Work closely with downstream teams (e.g. EQCR application team) to support onboarding, clarify API usage, and resolve integration issues

Performance & Reliability

• Meet agreed performance benchmarks and SLAs

• Own error handling, logging, and monitoring for all API surfaces

Security & Access Control

• Implement authentication, authorisation, and data access controls

• Ensure APIs comply with data security, governance, and regulatory standards

API Lifecycle Management

• Version APIs appropriately and manage change, deprecation, and backward compatibility

• Maintain clear, up-to-date documentation for all published APIs

Key Deliverables

• Production-ready APIs exposing governed data products
• API documentation covering endpoints, schemas, and usage patterns
• Integration support and onboarding for consuming applications

• Monitoring and alerting covering API performance and availability

Key Interfaces

• Data Engineers → source of curated datasets
• Data Product Manager → API requirements and use cases
• Data Consultant → data definitions, lineage, and rules
• Application Teams → API consumers
• Architecture → standards and patterns

Experience Required

• 4–8+ years in API development or integration engineering
• Strong hands-on experience with REST APIs, JSON, and data contract design
• Experience with Swagger, OpenAPI specification
• Experience of Azure API Gateway, Fast API, Azure Container Apps, Azure functions
• Proven experience integrating with data platforms or complex backend systems
• Solid understanding of API security patterns (OAuth 2.0, token-based auth, Managed Identities)

• Comfortable working across cross-functional teams in a fast-paced delivery environment

Nice to Have

• Experience in data platform environments (lakehouse, etc.)
• Experience in regulated environments
• Familiarity with event-driven architectures

Senior Engineer, QA

Location: Bengaluru, Karnataka, India (Hybrid)

Job Term: Full-Time

The Opportunity:

Picarro is seeking an exceptional Sr. QA Engineer to join our team and ensure the quality of our flagship product suite. This transformational data analytics platform enables comprehensive natural gas pipeline leak and upstream emission surveys across the entire natural gas industry supply chain, from wellhead to consumer.

Responsibilities:

• Design, develop, and scale mobile-first automated testing strategies to ensure high-quality iOS and Android applications.
• Build and maintain robust mobile automation frameworks using tools like Appium, ensuring cross-platform coverage.
• Develop automated test suites for UI, API, and end-to-end mobile workflows, including device-level interactions.
• Perform mobile performance, load, and reliability testing, including network variability and real-world usage conditions.
• Create and execute test plans and test cases tailored to mobile app behavior, device fragmentation, and OS-specific nuances.
• Define and manage mobile test data, including device states, user scenarios, and environment configurations.
• Execute automated and exploratory tests on real devices and emulators/simulators, identifying defects, edge cases, and usability issues.
• Integrate automated tests into CI/CD pipelines to enable continuous testing and rapid feedback on mobile builds.
• Configure and manage mobile test environments, including device farms (cloud or on-prem).
• Collaborate closely with developers, product managers, and designers to ensure high-quality mobile user experiences.
• Participate in code reviews, sprint planning, and Agile ceremonies, advocating for testability and automation best practices.
• Drive improvements in automation coverage, stability, and execution speed for mobile platforms.

Qualifications:

Required Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or related field.
• Experience: 7+ years in QA with a strong emphasis on mobile test automation Mobile Automation

Expertise:

• Strong hands-on experience with Appium.
• Experience testing native, hybrid, and mobile web applications.
• Deep understanding of mobile OS behaviors, device fragmentation, and platform-specific challenges.
• Proficiency in Java (preferred) or similar languages for automation development.

Automation & API Testing:

• Experience building scalable automation frameworks for mobile UI and backend validation.
• Strong expertise in API testing (RESTful services) and integration with mobile workflows.

Performance & Reliability:

• Experience testing mobile app performance, including latency, battery usage, and network conditions.

Tools & Infrastructure:

• Familiarity with test management tools (JIRA, TestRail, etc.).
• Experience with Git and CI/CD pipelines, especially for mobile build and test automation.
• Exposure to device farms (e.g., BrowserStack, Sauce Labs, or in-house solutions).

Agile & Collaboration:

• Strong problem-solving skills with attention to detail.
• Proven ability to work in Agile environments and contribute to QA best practices.
• Excellent communication skills with a proactive, collaborative mindset.

Good to Have:

• Experience with real-time data validation using messaging systems like Kafka.
• Familiarity with NoSQL databases for backend validation.
• Experience testing mobile apps integrated with hardware devices or IoT systems.

About Picarro:

Picarro, Inc. is the world's leading producer of greenhouse gas and optical stable isotope instruments, which are used in a wide variety of scientific and industrial applications, including: atmospheric science, air quality, greenhouse gas measurements, gas leak detection, food safety, hydrology, ecology and more. The company's products are all designed and manufactured at Picarro's Santa Clara, California headquarters and exported to countries worldwide. Picarro's products are based on dozens of patents related to cavity ring-down spectroscopy (CRDS) technology. Picarro's solutions are unparalleled in their precision, ease of use, portability, and reliability.

Honors awarded to the Company include the World Economic Forum of Technology Innovation Pioneer, IHS CERA Energy Innovation Pioneer, the U.S. Department of Energy Small Business of the Year, the TiE50 Winner and the Red Herring Global 100 Winner. Key investors include Benchmark Capital Partners, Greylock Management Corporation, Duff, Ackerman & Goodrich, Stanford University, Focus Ventures, Mingxin China Growth Ltd., Ntt finance and Weston Presidio Capital.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability.

Posted positions are not open to third part recruiters/agencies and unsolicited resume submissions will be considered free referrals.

Senior Automation Engineer Responsibilities:

• Automation Engineer strong in IT/IT-centric systems to help with troubleshooting, detecting issues
• Responsible for design and implementation of key automation aspects of an equipment project, often including PLC, vision, HMI programming.
• General Change management
• Independently understanding client’s quality standards, cGMP’s, and regulatory standards to support team in compliance of validation effort
• Independent verification of testing against specifications
• Supporting clients change management program – including authoring proposed changes, executing impact assessments/ regression analysis, and supporting client documentation of change results and release
• Authoring, editing, and executing technical commissioning, qualification and validation documentation for standard equipment/systems/ software, and processes as part of team as directed by the project leader.
• Running test scripts and documenting results.
• Adherence with project schedule for all assigned activities.
• Maintaining clear, detailed records qualification and validation
• Documenting impact and risk assessments as part of a team.
• Design and PLC programming (configuration of PLC program) on standard equipment/products
• Lead and perform complex quality checks which require an intricate understanding of the machine control systems and operations
• Your innovative use of communication tools and techniques will facilitate in explaining difficult issues and establishing consensus between teams
• Contribute to the completion of projects, manage own time on agreed targets, develop plans for own projects and leads small project teams
• Monitor, generate and complete the periodic review, validation master plan for the automation engineering program
• Demonstrate good planning, organizing, time management and team participation skills
• Responsible for routine and preventive maintenance work, ensure all the equipment and facilities work safely, efficiently and reliably
• Generate and develop standard operating procedures and system support
• Analyze operational process problems and recommend appropriate corrective and preventative actions
• Manage change control authoring and execution
• Participate in the site and network wide teams to provide cybersecurity alignment and direction
• Provide 24x7x365 support of automation systems and perform automation activities for capital and non-capital projects
• Modify moderately complex to highly complex control logic that requires a degree of scientific and/or manufacturing process expertise
• Clearly communicate progress and issues to peers

Requirements:

• Must have 3-5 years of industrial experience as an Automation Engineer
• Experience in creating SQL databases
• Understanding domain authentication
• Experience in working with IT to schedule implementations
• Able to complete software installs and/or updates
• Creation of databases
• Experience in upgrading system requirements for servers
• Understanding of Citrix application
• GMP and Good Documentation Practice knowledge
• Position requires onsite work in Indianapolis, IN
• Responsible for installing, maintaining, and troubleshooting automated utility, processing, filling, inspection, and packaging equipment
• Generate user requirement specifications for control systems
• Able to make minor modifications to code and HMI graphics for smaller changes
• Must be able to read logic and perform programming as well as update control system documentation
• Contribute technical content to validation protocols on automation systems and perform execution of protocols

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.

The Role:

We are looking for a Lead Value Engineer, Consumer Packaged Goods (CPG)—an industry expert who can bridge the gap between technical process mining and strategic business outcomes. You will act as an architect for critical work-streams within a major CPG account, translating complex operational data into clear value drivers.

As a Lead Value Engineer, you are a "go-to" execution expert within our CPG go-to-market organization. You will move beyond standard process optimization to link Celonis capabilities to key outcomes specific to fast-moving consumer goods operations.

You will work in partnership with the Celonis Sales Teams and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor, helping them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform.

In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set and strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

Identify & Frame Value

• Translate Strategy to Operations: Analyze the client’s strategic priorities (e.g., Omnichannel Growth, Margin Protection, Supply Chain Agility, and Sustainability) and map them to high-impact Celonis use cases.
• Target High-Impact Areas: Architect solutions that connect data across the value chain—moving beyond simple task automation to optimizing complex ecosystems like Demand Planning, Trade Promotions Management (TPM), Logistics, and Direct-to-Consumer (D2C) fulfillment.
• Build the Business Case: Construct robust, data-backed business cases that articulate the financial and operational impact of Process Intelligence (e.g., reducing Cost of Goods Sold, optimizing working capital, or improving On-Time In-Full [OTIF] delivery) to senior management.
• Win Expansion: Build demos and business cases, leveraging industry benchmarks and best practices in order to win new expansion opportunities.
• Assess Value: Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executives.

Realize Value

• Drive Engagement Success: Lead the value workstream for pilots and implementations, ensuring the "digital twin" strategy effectively monitors process health in fast-paced, high-volume retail and consumer environments.
• Orchestrate Improvement: Guide customers on how to use Celonis to provide context to their AI agents, coordinating hand-offs between systems and teams in Order-to-Cash, Source-to-Pay, and Plan-to-Produce.
• Solve Systemic Challenges: Work cross-functionally to tackle difficult implementation hurdles, helping customers define standards for Retailer Compliance, master data governance, or supply network visibility.
• Facilitate Workshops: Run business value workshops and use Celonis to identify and qualify opportunities for process enhancement.
• Initiate Change: Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives.
• Present Results: Present results and realized value to senior management and C-level executives.

Scale Value

• Codify Best Practices: Turn our solutions into reusable assets and use cases for the broader Value Engineering team.
• Mentor & Enable: Act as a senior resource for the team, helping junior engineers understand CPG terminology, seasonality nuances, and retail stakeholder management.
• Product Feedback: Serve as a bridge between the customer and our Product teams, providing specific feedback on how to enhance our platform for the CPG vertical (e.g., specific requirements for Trade Spend visibility or SKU Rationalization).
• Manage the Journey: Responsible for the end-to-end customer value journey, landing, expanding, adoption, and renewing.
• Build Roadmaps: Build a strategic expansion roadmap for customers embedding the Celonis Process Intelligence Platform as a strategic business transformation platform in their organization.
• Drive Innovation: Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases.

The qualifications you need:

• Deep Industry Experience: 8+ years of relevant experience in Finance, Supply Chain, or Operations, ideally combining time at a CPG/FMCG company with Management Consulting or Sales Engineering.
• Domain Expertise: You possess granular knowledge of the CPG value chain, specifically in areas such as Demand & Supply Planning, Logistics, Trade Promotions, or Consumer/Retail Operations.
• Growth Mindset: Proven track record of managing the full customer lifecycle, with a demonstrated ability to land new accounts, expand footprint through strategic upselling, and drive long-term value to ensure high retention and organic advocacy.
• Value Realization Skills: You have a track record of identifying operational inefficiencies and driving them to resolution. You understand how to impact the P&L through process improvement and technology deployment.
• Technical Fluency: Good knowledge of Business Software/SaaS applications (e.g., SAP S/4HANA, Salesforce Consumer Goods Cloud, SAP IBP), and experience with data visualization, SQL, or Python is a strong plus.
• Stakeholder Management: Experience presenting to and working with senior stakeholders. You can navigate complex internal structures and clearly communicate value to non-technical audiences.
• Builder Mentality: You are comfortable working with ambiguity and setting your own direction within an account team to achieve the best results.
• Degree: Degree in Industrial/Business Engineering, Supply Chain Management, Informatics, Mathematics, or similar.

We’re ideally looking for someone who is comfortable across the entire stack and can take ownership of feature delivery from design to deployment. The ideal candidate should have:

• 5+ years of experience with Python and FastAPI (async programming)
• Experience with Redis caching patterns and cache invalidation strategies
• Experience with event-driven architectures (Pub/Sub, SNS/SQS, or similar message brokers)
• Familiarity with SQLAlchemy ORM and relational database patterns
• Experience writing comprehensive test suites (pytest, integration testing)
• Comfortable with REST API design and microservices communication patterns
• Experience with AI-assisted development tools (Cursor, Copilot, Claude Code)
• Experience with Git and CI/CD pipelines

Nice to Have

• Experience with Strapi CMS or similar headless CMS platforms
• Experience with both GCP and AWS cloud services
• Familiarity with i18n patterns (locale handling, translation key management)
• Experience in Java and typescript

• Strong experience creating and deploying cloud infrastructure on Azure, AWS, and GCP
• Understanding of Python and Docker for developing web APIs
• Understanding of deploying solutions to Kubernetes.
• Familiarity with serverless technologies across functions, queues, file storage, API management, and key‑value stores
• Experience with integration patterns and working with various APIs
• Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as monorepos
• Proficiency in Infrastructure‑as‑Code languages such as Terraform and CloudFormation
• Understanding of design patterns for building scalable and efficient systems
• A quality‑driven, test‑first mindset
• Excellent written and verbal communication skills
• Familiarity with Diagrams‑as‑Code for documenting infrastructure architecture is a plus
• Understanding of modern authentication protocols such as OAuth2 and OIDC
• Consideration of cross‑cutting concerns like observability and security in infrastructure design
• Contributions to open‑source projects are a plus

Job Overview:

We are seeking an experienced Senior Data Engineer to build and optimize scalable data platforms using Microsoft Fabric, Databricks (and/or Snowflake). The role focuses on designing reliable data pipelines, lakehouse and warehouse models, and semantic layers that enable enterprise analytics, BI, and AI/Gen AI use cases.

You will work closely with analytics, BI, and data science teams to deliver high-quality, performant, and governed data solutions, while driving best practices in data engineering, optimization, and platform design.

Key Responsibilities

• Design, build, and maintain end-to-end data solutions on Microsoft Fabric, Databricks, including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Implement scalable data ingestion, transformation, and loading (ETL/ELT) using Fabric Pipelines and PySpark.
• Develop robust data models and schemas optimized for analytics, reporting, and AI-driven consumption.
• Create and maintain semantic models to support Power BI and enterprise BI solutions.
• Engineer high-performance data solutions that meet requirements for throughput, scalability, quality, and security.
• Author efficient PySpark and SQL code for large-scale data transformation, data quality management, and business rule processing.
• Build reusable framework components for metadata-driven pipelines and automation.
• Optimize Lakehouse and Data Warehouse performance, including partitioning, indexing, Delta optimization, and compute tuning.
• Develop and maintain stored procedures and advanced SQL logic for operational workloads.
• Design and prepare feature-ready datasets for AI and GenAI applications.
• Collaborate with data scientists and ML engineers to productionize AI pipelines.
• Implement data governance and metadata practices required for responsible AI.
• Leverage Fabric, Databricks capabilities to orchestrate and monitor AI-related data workflows.
• Apply data governance, privacy, and security standards across all engineered assets.
• Implement monitoring, alerting, and observability best practices for pipelines and compute workloads.
• Drive data quality initiatives, including validation frameworks, profiling, and anomaly detection.
• Partner with analytics, BI, data science, and product teams to understand requirements and translate them into technical solutions.
• Mentor junior engineers and contribute to engineering standards and patterns.
• Participate in architecture reviews, technical design sessions, and roadmap planning.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Required Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
• 7+ years of professional experience in data engineering or a related discipline.
• Mandatory hands-on expertise with Microsoft Fabric, Databricks or Snowflake including:
  • Pipelines
  • Notebooks
  • Lakehouse
  •  Data Warehouse
  • Semantic Models
• Advanced proficiency in PySpark for distributed data processing.
• Strong command of SQL for analytical and operational workloads.
• Experience developing and optimizing stored procedures and complex SQL transformations.
• Understanding of GenAI architectures, vectorization, embedding pipelines, and data preparation for LLM use cases.
• Strong knowledge of data modeling, ETL/ELT patterns, and modern data lakehouse principles.
• Experience designing and optimizing large-scale data pipelines in cloud environments (Azure preferred).
• Excellent problem-solving skills with the ability to analyze complex data workflows.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.

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.

So, what’s the role all about?

Senior Automation Engineer is responsible for ensuring the quality and reliability of web applications through a combination of manual and automated end‑to‑end testing. The role involves designing and maintaining scalable automation frameworks, executing hybrid test strategies, and leveraging AI agents to accelerate automation and improve test coverage. This position may operate in a US‑shift model and requires close collaboration with cross‑functional teams to troubleshoot issues, integrate automation into CI/CD pipelines, and deliver high‑quality product releases.

How will you make an impact?

Conduct comprehensive e2e testing of web applications using both manual techniques and automated tools.

Develop, enhance, and maintain automation frameworks using industry standard tools and libraries‑standard tools and libraries. Integrate automated accessibility checks into CI/CD pipelines to enforce shift-left accessibility practices. Document findings with clear, actionable defect descriptions, screenshots in our test management system (i.e. JIRA)

Analyses information solves problems and reaches conclusions within his/her professional space. Create and execute automation E2E test cases for web applications along with data generation. 

Responsible for defined tasks of low to medium complexity. 

Good understanding of subject matter theory, professional concepts and their application within professional space. Attend training to continue to enhance existing knowledge in technical and non-technical areas. Adheres to Defined SDLC processes. 

Have you got what it takes?

B.E./B. Tech in Computer Science, Industrial/Electronic Engineering.

5 to 7 years of experience in IT as Automation QA Engineer.

4 + years of hands-on experience in UI Automation testing

Expert in designing test strategy, test cases, test plans.

Playwright equivalent UI testing tools

Languages Typescript/Java/JavaScript

Experience with CI/CD tools like Jenkins.

Experienced with defect management and tracking tools, preferably Jira.

Experience working in Agile methodology.

Exposure to AI tools like GitHub Copilot, Claude code or equivalent..

You will have an advantage if you also have:

ISTQB Certified or equivalent

Desirable to have knowledge of API validations using Postman or RestAPI. 

Desirable to have knowledge of Cloud services like AWS. 

Excellent communication skills, very good English

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10496

Reporting into:  Tech Manager
Role Type: Individual Contributor

So, what’s the role all about?

Specialist Automation Engineer is responsible for ensuring the quality and reliability of web applications through a combination of manual and automated end‑to‑end testing. The role involves designing and maintaining scalable automation frameworks, executing hybrid test strategies, and leveraging AI agents to accelerate automation and improve test coverage. This position may operate in a US‑shift model and requires close collaboration with cross‑functional teams to troubleshoot issues, integrate automation into CI/CD pipelines, and deliver high‑quality product releases.

How will you make an impact?

Serve as Subject Matter Expert for core components, ensuring quality ownership throughout the product lifecycle.

Define and drive the test strategy and quality roadmap for complex web applications and integrated systems.

Oversee automation infrastructure and integrate tests into CI/CD pipelines for seamless delivery.

Lead automated data generation to ensure robust, repeatable testing across environments.

Mentor junior and mid-level engineers to foster technical excellence and professional growth.

Refine SDLC and STLC processes to balance best practices with team agility.

Lead internal training and adopt industry trends to evolve team capabilities.

Oversee critical production issue resolution and perform Root Cause Analysis (RCA).

Analyze complex data to solve technical problems and reach informed conclusions.

Act as the R&D Point of Contact for QA metrics and KPIs.

Partner with Product, UI/UX , Support, and R&D teams to align quality goals.

Have you got what it takes?

B.E./B.Tech in Computer Science, Industrial/Electronic Engineering.

8 to 11 years of experience in IT as Automation QA Engineer.

8+ years of experience in UI Automation testing.

Playwright equivalent UI testing tools

Languages Typescript/Java/Javascript

Experience in using API through automation framework.

Experienced working with Databases, writing SQL queries for data validation.

Desirable to have knowledge of Cloud services like AWS. 

Experience with CI/CD tools like Jenkins.

Exposure to AI tools like GitHub Copilot, Claude code or equivalent.

Experience leveraging AI agents to accelerate Root Cause Analysis (RCA), implementing self-healing automation, and validating AI model integrity

You will have an advantage if you also have:

ISTQB Certified, ISTQB® Certified Tester - AI Testing (CT-AI) or equivalent

Experienced with defect management and tracking tools, preferably Jira.

Excellent communication skills, very good English.

Experience working for Agile

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10494

Reporting into:  Tech Manager
Role Type: Individual Contributor

The Team:

The position of Lead Value Engineer is a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements.

The Role:

As a Lead Value Engineer you are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Team and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

Identify & Frame Value

• Discover and translate customers’ strategic priorities into high-impact Celonis use cases
• Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
• Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executive

Realize Value

• Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
• Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
• Present results and realized value to senior management and C-level executives

Scale Value

• Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
• Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
• Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases

The qualifications you need:

Live for Customer Value: Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.

Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Knowledge of Python and/or SQL. Experience in collaborating with IT teams.

Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures,  being a change agent and training users/process owners to realize value

Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.

Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English and sovereign appearance.

Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, Economics or a comparable degree program

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.

Principal Duties / Responsibilities:

· Promotes and adheres to the ATS safety culture.

· Identifies top potential issues leading to lost production and preventable maintenance spending. Communicates findings with leadership.

· Provides solutions to root cause deficiencies and demonstrates economic benefits to their correction.

· Actively drives the implementation of equipment improvement projects.

· Identifies and implements current and new processes / technologies to increase equipment performance and uptime

· Champions systems and best practice procedures towards a proactive manufacturing culture.

· Analyzes equipment performance, failure data, and corrective maintenance history to develop and deploy engineering solutions, improved maintenance strategies, preventative maintenance optimization, and other reliability techniques.

· Provides technical service to operations and manufacturing personnel on equipment related troubleshooting efforts.

· Utilizes predictive, preventative, and precision maintenance technologies and strategies designed to identify or control risks prior to failure and ensure optimum maintenance execution.

· Collaborates with the maintenance team to prioritize assets and actions by determining failure probabilities and evaluating the risk of compliance, supply, strategy, and cost.

· Provides training and coaching in ATS Root Cause and Reliability Analysis and takes ownership for ongoing corrective action tracking, implementation and follow up to ensure that all Root Cause Analysis projects are documented.

· Ensures compliance with regulatory requirements and ATS policies and procedures.

Knowledge, Skills, Abilities (KSAs), & Competencies:

Essential KSAs:

· Bachelor’s degree in engineering (ABET accredited)

· Minimum of five years of reliability experience

· Demonstrates ability to perform full array of reliability tool sets

· Strong technical understanding of electrical or mechanical components, tools, and designs

· Ability to complete a failure mode effects analysis, cause and effect diagrams, root cause failure analysis, life-cycle costing, and risk analysis

· Ability to research and apply new equipment technology / trends

· Robust problem solving, mathematical, analytical, and decision making skills

· Proficiency with computers, maintenance systems, and applications, including Microsoft Office

· Excellent verbal communication, facilitation, and presentation skills

· Strong reporting and technical writing capability

· Ability to build and maintain positive, professional relationships

Desirable KSAs

· Desire to develop into a leadership role

· Experience with data trend analysis, vibration analysis, motor current analysis, oil analysis, lubrication and hydraulic testing, laser alignment, nondestructive testing, infrared thermography, ultrasound technology, acoustic reliability technology, Weibull analysis, and Six Sigma or Lean Manufacturing methodologies

· Knowledge of various government regulations such as, Current Good Manufacturing Practice (cGMP), National Electrical Testing Association (NETA), Environmental Protection Agency (EPA), and Occupational Safety and Health Administration (OSHA)

· CMRP certification

· Green Belt certification

· STS certification

Competencies:

· Drive & Motivation

· Interpersonal Skills

· Task Management

· Strategic Skills

· Customer Focus

· Self-awareness

· Management & Leadership

ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more.

Pay Range

$106,132 - $119,718

ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here.

ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Physical Demands and Working Conditions:

While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors.

​

ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here.

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.

About NomiSo India:

Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. Our mission is to Empower and Enhance the lives of our customers through simple solutions for their complex business problems. At NomiSo, we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble, and thrive when challenged. We offer a positive, stimulating, and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged. We invite you to push your boundaries and join us in fulfilling your career aspirations! What You Can Expect from Us: We work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the centre of everything we do at all levels of the company. Let’s make your career great!

Position Overview: As a Senior Software Engineer at Nomiso, you'll be a part of a world class software engineering team developing innovative capabilities into our CXOS Telco operating system that is disrupting the Telco industry. You will also be hands-on with the non-functional aspects of the software you are developing including perf & scale, security and many more. Are you looking to accelerate your career 10x getting your hands dirty with the latest technologies, best practices and processes in the software industry today, then this opportunity is just for you..! 

Roles and Responsibilities:

● Develop new features as well as modify existing features to meet the constantly involving requirements of our Telco operating system as we expand globally.

● Write comprehensive automated tests (Unit Tests, Integration Tests, Journey Integration tests) for the features you are developing. 

● Write performant code and constantly incorporate the code review feedback provided by senior developers into the features you are assigned to work on.

● Utmost attention to detail and quality in all work assignments.

● Participate in R&D work as per the requirements of a capability.

● Actively participate in all team discussions and contribute effectively to those discussions.

● Document the design details (APIs, various design diagrams etc.) under the guidance of senior developers.

● Support during production issue troubleshooting activities to ensure smooth operation of our live customer environments meeting customer SLAs.

Must Have Skills:

● Minimum 5 - 8 years industrial experience with a focus on full-stack engineering.

● Hands-on development experience in either Java, Golang or Javascript., ReactJs

● Hands-on development experience with Relational DBs, preferably in MariaDB or MySQL. Experience with NoSQL DBs such as MongoDB will be advantageous.

● Hands-on experience in automating the testing of the applications using Unit Testing, Integration Testing, Mocking etc.

● A good understanding of commonly used Software Design Patterns.

● Excellent communication skills and team working skills.

● Experience in modern frameworks such as Spring Boot and/or ReactJS will be an advantage. 

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

Experience: 12+ years (Senior Level)

Role Overview

We are looking for a Senior Firmware Engineer with deep expertise in Zigbee, Thread, and IEEE 802.15.4 wireless stacks. The candidate will focus on architecting, developing, and optimizing embedded wireless protocol stacks on resource-constrained platforms, ensuring compliance, performance, and reliability.

Key Responsibilities

• Architect, design, and implement firmware solutions for Zigbee/Thread and IEEE 802.15.4-based products.
• Develop and optimize low-level drivers, MAC/PHY interfaces, and protocol stack layers.
• Debug and resolve wireless interoperability and certification issues using sniffers (Ubiqua, Wireshark, Perytons).
• Collaborate with hardware, QA, and product teams to ensure robust HW/SW co-design and regulatory compliance.
• Debug, analyze, and optimize power consumption and timing for battery-operated IoT devices.
• Support certification and compliance efforts for Zigbee/Thread-based products.
• Document software design, testing procedures, and release notes.

Required Skills & Competencies

• 12+ years of experience in embedded firmware development.
• Strong programming skills in C / Embedded C; assembly or scripting (Python) a plus.
• Expertise in IEEE 802.15.4 MAC/PHY, Zigbee, and Thread protocol stacks.
• Experience with embedded RTOS (FreeRTOS, Zephyr, or Linux system programming).
• Proficiency in debug tools (JTAG, GDB, oscilloscopes, logic analyzers, sniffers).
• Strong knowledge of microcontrollers, transceivers, and RF system design basics.
• Hands-on debugging and optimization for low-power wireless systems.
• Familiarity with IoT frameworks and domains like home automation, security, and energy management.
• Excellent problem-solving, communication, and cross-functional collaboration skills.

Qualification

• Bachelor’s or Master’s degree in Electronics, Computer Science, or related fields.
  • 12+ years of relevant experience in wireless embedded systems.

Role Summary

Design, implement, and ship Bluetooth Controller firmware across BLE (Link Layer/MAC) and Bluetooth Classic (BR/EDR LM behaviors) on our SoCs. Work spans bring-up, timing & reliability, test/qualification, and cross-functional debug with RF, systems, and QA—hands-on from lab benches to release.

Key Responsibilities

• Firmware development (Controller): Implement and maintain controller features aligned to Bluetooth Core Spec 5.x and 6.x for BLE and Bluetooth Classic.
• Bring-up & stabilization: Bring up features on FPGA/eval boards/silicon; tune timing/latency paths in RTOS environments for BLE and Classic.
• Test & qualification support: support certification/interop; analyze sniffer/HCI logs and close issues with clear root cause.
• System-level debugging: Triage issues across firmware, drivers, and basic RF interactions; collaborate with Hardware/RF, Systems, and QA to land fixes.
• Tooling & automation: Contribute HCI test scripts, utilities, and CI checks that improve repeatability and coverage.
• Maintenance: Participate in code reviews, documentation, and sustaining engineering for released features.

Core Competencies

• Hands-on experience in Bluetooth controller firmware with understanding of BLE LL/MAC and Bluetooth Classic LM procedures.
• Strong embedded C skills (interrupts, memory-safe coding, RTOS concurrency).
• Comfort with UART/SPI/I²C and board bring-up workflows.
• Ability to work with sniffer/HCI logs (BLE and Classic) and embedded debuggers; strong analytical and troubleshooting ability.
• Organized, detail-oriented, proactive, and effective in cross-functional teams.
• Clear written and verbal communication.

Qualifications (Requirements)

• E./B.Tech/M.E./M.Tech in ECE/EE/CS (or equivalent practical experience).
• 5–9 years of embedded firmware experience on MCUs/SoCs with RTOS.
• Proficiency in C, version control, code reviews, and CI basics.
• Experience developing to Bluetooth Core Spec 5.x and 6.x at the controller level—covering BLE LL/MAC and exposure to Bluetooth Classic BR/EDR LM procedures.
• Exposure to system test, troubleshooting, and root-cause analysis of Bluetooth products.
• Basic RF awareness.
• Coexistence basics (Wi‑Fi/Bluetooth) and lab tools (oscilloscope, logic analyzer, power meter).
• Familiarity with open Bluetooth ecosystems (e.g., Zephyr/NimBLE).

Responsibilities & Desired skills:
• Construct SoC level test benches using verification components developed at the block/IP level. Test bench 
architecture for random/directed testing, stimulus generation, and checking to include custom and off the 
shelf VIP/UVCs.
• Develop and execute SoC verification plans focused on IP block interoperability and SOC/System level. 
Develop and execute verification plans based on design specifications and collaboration with architects and 
designers.
• Verify SoC using advanced verification methodologies
• Construct HW/SW Co-Verification environment - test-benches, use-cases, APIs, sequences. Execute and 
Debug use-cases.
• Be part of a dynamic and functionally diverse team with opportunities for gaining exposure to modeling 
(TLM), HW emulation/acceleration, and SW driven verification.
• Work with design team to understand design intent and bring up verification plans and schedules
• You will think through design corner cases and be able to write relevant cover points
• Debug test cases and report verification results to achieve expected code/functional coverage goal. Utilize 
constrained random verification, functional coverage, code coverage and assertions to achieve goals.
• Assist in emulation, FPGA, prototyping efforts.
• Implement / maintain automated verification flows in languages such as Python / Shell scripts.
• 5+ years of verification experience is required