Staff Engineer Full Stack

Acceldata is reimagining the way companies observe their Data!

Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs.

As a Staff Full Stack Engineer

You’ll be responsible for architecting, building and scaling the core features and capabilities of our Kubernetes-native Data product. You’ll also work closely with the frontend and product teams to create a reliable and scalable platform.

A day in the life of Staff Full Stack Engineer

Architect, design, and build scalable distributed systems using Java.

Lead system design and architecture decisions across services, APIs, and data layers.

Build and optimize high-throughput, low-latency microservices.

Design and implement event-driven architectures using Apache Kafka.

Develop and optimize data processing pipelines leveraging Apache Spark (or similar technologies).

Ensure System Reliability Through

• Fault tolerance, retries, circuit breakers
• Observability (logging, metrics, tracing)
  
  

Optimize Performance Across

• CPU, memory, I/O, and database queries
  
  

Drive code quality, design reviews, and engineering best practices

Mentor engineers and provide technical leadership across teams

You are a great fit for this role if you have

10+ years of experience in software engineering with strong backend focus

Deep expertise in Java and backend frameworks like Spring Boot

Strong Experience In

• Distributed systems design
• Microservices architecture
• Concurrency and asynchronous processing
  
  

Hands-on Experience With

• Apache Spark
• PostgreSQL / MySQL
• Caching systems like Redis
  
  

Experience with cloud-native architectures on platforms like Amazon Web Services

Strong understanding of API design, scalability, and performance optimization

Experience in frontend technologies (JavaScript, React)

Strong debugging, problem-solving, and system design skills

Bonus Points for

• Experience in Kubernetes
• Experience in Big Data Systems or Hadoop components.
  
  

We care for our team

• Mentorship & Growth
• ESOPs
• Medical and Life Insurance
• Paid Maternity & Parental Leave
• Corporate Uber Program
• Learning & Development Support
  
  

Acceldata for All

We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual.

Why Acceldata?

Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments.

Delivered as a SaaS product, Acceldatas solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

---