SDE 2 - DevOps

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

SDE 2 - DevOps Mumbai FanCode is India's premier digital sports destination, dedicated to delivering a best-in-class experience for fans across live and non-live sports. Launched in March 2019 by industry veterans Yannick Colaco and Prasana Krishnan, FanCode has reached over 160 million users. The platform features a wide array of global and domestic sporting leagues, in partnership with leading sports associations. FanCode offers interactive live streaming through industry-first subscription models, including Match, Bundle, and Tour Passes, as well as monthly and annual plans at accessible price points. Some of the marquee properties include La Liga, Formula 1, MotoGP, cricket leagues from around the globe including CPL, Super Smash amongst others. Dream Sports, India's leading Sports Technology company, is the parent company of FanCode, with brands such as Dream11, and DreamSetGo in its portfolio. Role Overview: Technology @ FanCode The mission is to create a platform for all sports fans, covering Sports Live Video Streaming, Live Scores & Commentary, Video On Demand, Player Analytics, Fantasy Research, News. Our tech stack is hosted on GCP and is built on GKE, GCS, Cloud Run, MediaCDN utilizing a microservices-based architecture with Java, Node.js, Python, Redis, MySQL, Cassandra, and Elasticsearch. They are a data-driven team that also uses Python and big data technologies like Kafka, Spark, and Redshift for Machine Learning and Predictive Analytics. As a data-driven team, we also use Python and other big data technologies for Machine Learning and Predictive Analytics. Besides these, we heavily use Kafka, Spark, Redshift and other cutting

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