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    Job · 23214976

    Deloitte logo

    Product Software Engineer II, Reliability Platforms

    Deloitte · Bengaluru · onsite · Posted 3d ago

    Not disclosed3–7 yrsfulltimeSourced fromInstahyre

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary:


    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:

    • 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
    • Contribute to deployment pipelines, infrastructure as code, and reliability tooling
    • Write and maintain automated tests at the unit, integration, and functional levels
    • Instrument services with metrics, logs, and traces, and help tune alerts and dashboards
    • Participate in the on-call rotation with support from senior engineers, and contribute to post-incident follow-up work
    • Grow expertise in AWS, Kubernetes, and site reliability practices through pairing, code review, and mentorship


    Required Education, Experience/Skills/Training:


    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 practices


    Preferred 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 testing


    Required 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

    Sourced from instahyre

    Skills

    DockerTerraformKubernetesamazon web servicesGolangPythonJava

    About Deloitte

    Deloitte logo

    Deloitte

    Management Consulting

    120k+

    employees

    1845

    181 years old

    Hyderabad, India

    US

    About

    At Deloitte, we help provide high-quality audit & assurance services, consulting, tax, and advisory services to some of the world’s most admired brands. Alongside this work, our Enabling Areas and Global teams support Deloitte’s businesses, helping create impact for clients, communities, and our people. Our professionals help provide measurable and lasting results that could help reinforce public trust in capital markets, enable clients to transform and thrive, and lead the way toward a stronger economy, a more equitable society and a sustainable world. Building on its 180-plus year history, Deloitte spans more than 150 countries and territories.


    Deloitte US‑India Offices (USI) is a region within the Deloitte US organization, with offices across seven cities in India: Hyderabad, Mumbai, Gurugram, Bengaluru, Kolkata, Pune, and Chennai.

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