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Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

DealHub 's award-winning Revenue Platform offers the most complete and connected revenue workflow for sales organizations. We are seeking a creative, energetic, and methodical professional to join our industry-leading Marketing team. We are seeking a GTM Content Producer to fuel our go-to-market engine with high-impact, persona-driven content. This role is responsible for originating and delivering content assets at high velocity (typically within 5 days) that directly support individual solutions, industries, and buyer personas across the marketing and sales funnel. You will work closely with product marketing, demand generation, and sales enablement to ensure that every asset—whether a gated-asset, one-pager, case study, solution brief, translates our unique value propositions into compelling stories that convert interest into action This role is ideal for a hands-on content creator who thrives in a fast-paced environment, has a sharp understanding of buyer needs in the Business Applications eco-system, and is passionate about producing content that drives measurable impact. Key Responsibilities Content Creation & Execution
* Write, design, and deliver content assets (solution briefs, persona one-pagers, email copy, landing pages, gated content etc.) with a rapid turnaround of ~5 days per asset
* Ensure all content is aligned with GTM strategy, product positioning, and buyer personas.
* Translate complex solution messaging into simple, compelling, and conversion-oriented narratives. Persona & Solution Alignment
* Develop tailored content for specific buyer roles (e.g., CIO, RevOps, CFO, Sales Leaders) and solution areas.
* Adapt messaging tone and format to resonate with decision-makers at different stages of the funnel. Cross-Functional Collaboration
* Partner with product marketing on messaging frameworks.
* Support demand generation with campaign-ready content.
* Enable sales with assets that can be leveraged in prospecting and deal cycles. Quality & Velocity Balance
* Maintain content quality, accuracy, and brand consistency while working at high speed.
* Leverage templates, best practices, and frameworks to accelerate production.

we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

we are looking for a Performance Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We are searching for a seasoned Team Leader to lead a multidisciplinary team of engineers in our growing R&D department of the DatAdvantage Cloud group. You will lead the team and manage the execution of the product backlog. Ultimately, you should be able to hold all aspects of feature development within the team in order to maintain functional and stable product features for our SAAS application in accordance with the companys needs.
Responsibilities
Lead a team of 4-6 engineers, both backend and frontend, in an Agile environment
Participate in the entire application lifecycle, from design to production
Work closely with the teams product manager
Collaborate with other teams in curtain features or capabilities
Conduct design and code reviews, Mentor and be a focal point for the team
Be aligned with the team technical Needs and capabilities
Gather and address technical and design requirements.

we are looking for a Senior Software Engineer - Data Path to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.