Staff Engineer ( Full Stack )

The Consensus; India; On-site; INR 3,500,000 - 8,000,000; Full time

Benefits offered by this job

ESOPs

Medical and Life Insurance

Paid Maternity & Parental Leave

Corporate Uber Program

Learning & Development Support

Job summary

Acceldata is seeking a Staff Full Stack Engineer in India to architect, build, and scale core features of our Kubernetes-native Data product. You will collaborate with frontend and product teams to deliver a reliable, high-performance platform.

We value 10+ years in software engineering with a backend focus, deep Java/Spring Boot expertise, distributed systems know-how, and experience with Spark, Kafka, and cloud-native architectures on AWS.

Qualifications

• 10+ years of software engineering with backend focus.
• Deep expertise in Java and Spring Boot.
• Experience in distributed systems, microservices, and concurrency.
• Hands-on with Spark, SQL databases, Redis, and cloud platforms.

Responsibilities

• Architect, design, and build scalable distributed systems.
• 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.
• Ensure system reliability through fault tolerance, retries, and observability.
• 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.

Skills

Java

Spring Boot

Distributed systems

Microservices

Concurrency

Kafka

Apache Spark

PostgreSQL

MySQL

Redis

AWS

API design

React

Tools

Kubernetes

Docker

Job description

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, Acceldata's 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.