Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.
Rating Reviews
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Pros: Datadog is fantastic for career growth as a Software Engineer in the cloud monitoring industry. I've had many learning opportunities, working on complex SaaS challenges with very smart and supportive colleagues in New York City. The engineering culture is collaborative, helping me develop new skills within this fast-paced tech environment.
Cons: It can be intense sometimes due to rapid company expansion. The promotion process feels a bit slow or opaque, despite the growth. Also, with many teams, cross-team communication needs better streamlining.
Advice to Management: Focus on making the promotion paths clearer and more transparent for individual contributors. Also, continuing to invest in tools and processes to improve cross-team communication would be beneficial, especially as the company scales rapidly.
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Pros: Some direct managers are really solid, especially within the core engineering teams. As a Software Engineer, I've had good support from my team lead while working remotely from Austin, TX. The company offers great learning for anyone in the cloud monitoring and observability space.
Cons: Upper leadership feels a bit disconnected from the day-to-day operations. It's a big tech environment, so strategic shifts can be frequent and not always clearly communicated. This often leads to extra work or pivots for development teams, impacting project stability.
Advice to Management: Senior leadership needs to connect more with individual contributors and provide clearer, more consistent strategic vision for the product development teams in this big tech industry. More stability in direction would help.
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Pros: I really liked working on cutting-edge features for their observability platform. There are smart folks here, and the technical challenges are engaging. The remote work setup has been a huge plus for my work-life balance, especially living in Austin. The compensation package is also pretty competitive for a growth-stage tech company.
Cons: The pace can be pretty demanding, especially close to release cycles. As a Software Engineer, you sometimes feel the pressure to put in extra hours, which can impact personal time. Communication from leadership sometimes feels a bit scattered, making it tough to prioritize. It's not always a 40-hour work week.
Advice to Management: Try to ensure more consistent workloads across teams to improve work-life balance. Better communication from leadership on long-term priorities would help individual contributors manage their time and expectations more effectively. Focus on sustainable pace, not just rapid growth.
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What is Datadog's policy on remote work for software engineers in the New York City area?
Datadog offers a hybrid work model, generally requiring employees to be in the office a few days a week. Specific arrangements for roles like software engineering in major hubs like New York City can vary, but fully remote positions are less common than hybrid ones.
What is the day-to-day work environment like for a Software Engineer at Datadog in New York City?
No answers yet.
What is the general working culture like at Datadog for software engineers in New York?
No answers yet.
What is the typical work-life balance like for a Software Engineer at Datadog, especially in their New York City offices?
No answers yet.
What is the day-to-day working culture like for an engineer at Datadog, especially in their New York office?
Engineers at Datadog typically experience a collaborative and fast-paced environment. There's a strong emphasis on individual ownership and rapid iteration, with teams often working on complex challenges in monitoring and analytics for large-scale systems.
What is the day-to-day work environment like for a Software Engineer at Datadog, and how collaborative is the culture?
The culture at Datadog is generally fast-paced and collaborative, with engineers often working in small, cross-functional teams. Expect opportunities to contribute to impactful projects within the observability and security space, with a focus on delivering value to customers.
What is Datadog's policy on remote work for software engineers in the US?
Datadog offers a hybrid work model, allowing flexibility for roles like software engineering. While many teams operate on a hybrid schedule with some days in the office, the specifics can vary by team and location within the US.
What is the typical work-life balance like for a software engineer at Datadog, a growing tech company in New York City?
Datadog generally fosters a productive work environment, but like many fast-paced tech companies, the work-life balance can vary by team and project demands. Engineers often find opportunities for flexible scheduling, though some periods may require more dedicated hours to meet deadlines.
