# Senior Software Engineer – Platform Operations

**Company:** [DeepIntent](https://hotfix.jobs/companies/deepintent)
**Location:** Pune, India
**Role:** DevOps / SRE
**Experience:** 5+ years
**Skills:** Java, SQL, Python, GCP, Amazon Web Services, Spark, Apache Airflow, Apache Beam, Apache Druid, Apache Kafka, BigQuery, ClickHouse, Application Monitoring, Incident Management, Browser Debugging
**Posted:** 2026-07-17

> Senior Software Engineer responsible for production platform reliability, data pipeline troubleshooting, incident management, operational tooling, and automation. Requires 4+ years of engineering experience, strong Java and SQL skills, distributed data pipeline expertise, and cloud platform experience.

## Job Description

## Responsibilities
- Serve as the engineering interface between Customer-facing teams, Analytics, Product, and Engineering organizations.
- Partner with Platform Support, Client Success, and other customer-facing teams to investigate and resolve complex platform-related issues.
- Analyze application, API, and data pipeline issues to identify root causes and drive timely resolution.
- Develop and standardize operational tools and interfaces for analytical and operational use cases.
- Monitor data pipeline executions, investigate failures, and implement corrective and preventive actions.
- Implement operational best practices to improve platform reliability and efficiency.
- Collaborate with Software Engineers, Data Engineers, Machine Learning Engineers, Analysts, and Product teams to deliver scalable platform solutions.
- Act as a bridge between Engineering and Analytics teams to streamline issue resolution and improve operational effectiveness.
- Participate in production incident management, root cause analysis, post-incident reviews, and continuous improvement initiatives.
- Identify automation opportunities to reduce manual operational effort and improve platform monitoring and observability.

## Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 4+ years of professional software engineering or platform engineering experience.
- Strong proficiency in Java and hands-on experience debugging Java applications in production environments.
- Strong analytical and problem-solving skills for troubleshooting complex technical issues across multiple systems.
- Proficiency writing and optimizing SQL queries and working with large-scale datasets.
- Experience with distributed data pipelines and high-volume, high-velocity data processing systems.
- Experience supporting production applications in an L2/L3 Product Support or Technical Support environment.
- Understanding of software engineering principles and methodologies.
- Experience with cloud platforms such as Google Cloud Platform and/or Amazon Web Services.
- Strong communication and collaboration skills with technical and non-technical stakeholders.
- Ability to work with globally distributed teams, including teams based in the United States.
- Understanding of application monitoring, logging, and incident management practices.
- Comfortable working in EST shift (rotational).

## Nice-to-haves
- Experience investigating UI-related issues and browser-based debugging.
- Knowledge of Python for automation, scripting, or operational tooling.
- Experience with Apache ecosystem technologies such as Spark, Airflow, Beam, Druid, Kafka, or similar distributed data processing frameworks.
- Experience with analytical databases such as BigQuery, ClickHouse, or similar large-scale data platforms.
- Demonstrated ability to take ownership, drive continuous improvement, learn new technologies quickly, and deliver high-quality solutions in a fast-paced environment.

## Compensation and Benefits
- Competitive base salary plus performance-based bonus.
- Comprehensive medical insurance and paid holidays.
- Hybrid-friendly culture with flexible work options.
- Professional development reimbursement, WiFi reimbursement, and health and wellness allowance.

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