Position Summary:

To help drive this next chapter, we're seeking a Staff Software Engineer to serve as a senior technical contributor focused on observability engineering and production diagnostics. This role improves end-to-end visibility across distributed systems and enables faster root-cause analysis through telemetry, analytics, automation, and integrated operational workflows.

The ideal candidate combines deep distributed systems troubleshooting experience, broad observability technology knowledge, and a passion for turning operational data into actionable insights

Job Responsibilities:

Technical Leadership:

- Establish technical practices for production diagnostics, telemetry quality, and root-cause analysis.
- Partner with application and platform teams to improve service instrumentation.
- Mentor engineers in distributed systems troubleshooting and observability design.

Technology & Delivery:

- Build and support dashboards, alerts, queries, and operational analytics using Dynatrace, Splunk, Datadog, and related platforms.
- Monitor AWS, Azure, Kubernetes, Docker, Java, Node.js, Oracle, Cassandra, and Kafka environments.
- Develop Python, Shell, and Java Script automation for diagnostics and response.
- Integrate observability data with ITSM and incident management solutions.

AI Ops & Innovation:

- Use machine learning and event intelligence to improve detection and prioritization.
- Evaluate Open Telemetry and open-source observability capabilities.
- Advance security, compliance, and operational governance practices.

Qualifications:

Required Experience:





- 6-8 years of progressive software engineering, site reliability engineering, observability, or IT operations experience.
- Experience implementing observability and AIOps capabilities across distributed systems.
- Experience with cloud platforms, containers, scripting, service-level indicators, service-level objectives, and error budgets.
- Strong troubleshooting, collaboration, and communication skills.

Required Technical Skills:

- Dynatrace SaaS, DQL, and Grail
- Moogsoft or Big Panda
- Splunk and Datadog
- AWS and Azure
- Kubernetes and Docker
- Python, Shell, and Java Script
- SLIs, SLOs, and Error Budgets
- Java and Node.js
- Oracle, Cassandra, and Kafka

Preferred Skills & Experience:

- Machine learning for operations, including anomaly detection, outage prediction, and automated response
- ELK, Grafana, Prometheus, Open Telemetry, Loki, and Thanos
- Terraform, Jenkins, Git Hub, and Ansible
- Service Now, xMatters, Pager Duty, and Jira integrations
- Distributed systems troubleshooting
- Linux and Windows
- Security and compliance

Education:

- Bachelor's degree in computer science and engineering or equivalent

Talent Value Proposition statement:

At DIRECTV India,



we're building a culture with our people, not for them, grounded in the values of We Care, We Challenge, and We Deliver. We will focus on building a better future than yesterday for our colleagues, customers, and company. As part of our team, you'll help shape the future of enterprise data platforms, enable advanced analytics and AI innovation, and contribute to business-critical capabilities that impact millions of customers. If you're ready to bring your expertise, leadership, and passion for innovation to a team redefining entertainment technology, we'd love to have you join us on this journey.

Headquartered in El Segundo, California, DIRECTV has been a household name in sports and entertainment for 30 years. We've grown our global footprint with DIRECTV India, a capability center in Pune built to support our operations and speed up how we build current technology. Here, our teams work on the platforms and products that bring together satellite and streaming, so customers get their favorite content without the hassle of switching between apps or inputs. From AI-driven personalization to content built around what people actually want to watch, we're shaping what entertainment looks like next, and Pune is a big part of that.

DIRECTV is an equal opportunity employer. Employment decisions are based on business requirements, qualifications, merit, and performance, without discrimination on the basis of legally protected characteristics under applicable laws.

📌 Staff Engineer, IT Operations (India)
🏢 DIRECTV India
📍 India