Job Title: Lead Associate | Others | Bengaluru | Engineering as a Service/ Operate
JOB DESCRIPTION
Job Title:
Product Software Engineer II, Reliability Platforms
Location:
Bangalore
Outer Ring Road
Bangalore, 10, India
Reason:
Open Role
Job Family:
Product Software Engineering
Full-Time/Part-Time:
Full-Time
Job Level:
P2
FLSA (Exempt/Non-Exempt):
Exempt
Job Summary:
Describe what the person will do in the role - how he/she will impact the organization.
As Product Software Engineer II, Reliability Platforms, you will develop features, automation, and tooling for the traffic, compute, and streaming platform layers behind Disney Entertainment & ESPN’s production systems, learning reliability engineering practices while contributing production code to platforms that operate at global scale.
You will be part of an organization made up of three complementary teams.
-Technical Operations is responsible for production readiness and service onboarding, alert response and first-line eyes-on-glass monitoring, defining alerts and thresholds, escalation management, backend capacity management and load testing, and third-layer support for technically complex customer issues.
-Reliability Platforms is responsible for the traffic, compute, and streaming platform layers, and for the reliability tooling that engineers reliability, resiliency, and self-healing into our production services and automates operational processes.
-Observability & Platform is responsible for telemetry, instrumentation, and alerting standards, for the internal self-service tooling and automation platforms that enable teams across the organization to deploy, detect, alert, and mitigate in our AWS environments with reliability and velocity, and for the operational data, reliability reporting, and anomaly detection that make those platforms smarter over time.
You must understand the demands of managing 24x7 applications at a large scale with well-defined operational objectives. You bring solid development fundamentals and foundational experience across AWS, systems programming, the software development lifecycle, incident response and management, and observability tooling such as Datadog, CloudWatch, and Grafana. Within Reliability Platforms you will take technical direction from the Lead and Sr Product Software Engineers, growing your expertise in reliability engineering, Kubernetes, and observability through pairing, code review, and mentorship.You will report to the Director, Product Software Engineering.
Responsibilities and Duties of the Role:
Summarize job responsibilities, core deliverables and major duties. What is required for the position to exist?
-Focus on major areas of work, typically 20% or more of role
% of Time
April 2025
JOB DESCRIPTION
•Develop features and automation for traffic, compute, and streaming platform services under the guidance of senior engineers, writing production-quality code with strong test coverage
40%
•Contribute to deployment pipelines, infrastructure as code, and reliability tooling
20%
•Write and maintain automated tests at the unit, integration, and functional levels
15%
•Instrument services with metrics, logs, and traces, and help tune alerts and dashboards
10%
•Participate in the on-call rotation with support from senior engineers, and contribute to post-incident follow-up work
10%
•Grow expertise in AWS, Kubernetes, and site reliability practices through pairing, code review, and mentorship
5%
Required Education, Experience/Skills/Training:
Minimum and Preferred. Inclusive of Licenses/Certs (include functional experience as well as behavioral attributesand/or leadership capabilities)Basic Qualifications
•3+ years of professional software engineering experience
•Experience with Python, Java, Go, or another systems programming language, with a focus on writing maintainable, tested code
•Foundational experience with AWS and with Unix/Linux environments
•Exposure to CI/CD pipelines, Docker, and infrastructure as code, with Terraform preferred
•Familiarity with monitoring and observability concepts and tools such as Datadog, Prometheus, or CloudWatch
•Clear written and verbal communication and an eagerness to learn reliability engineering practicesPreferred Qualifications
•Exposure to Kubernetes or container orchestration
•Coursework or project experience with large scale, distributed systems
•Interest in streaming data technologies such as Kafka or Kinesis
•Experience leveraging AI-assisted development tools as a productivity multiplier
•Exposure to automated performance or chaos testingRequired Education
•Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study, or equivalent training or work experience