{"id":2079778,"url":"https://alion.io/job/disney-india-senior-product-software-engineer-ii","title":"Senior Product Software Engineer II","company":{"id":3300,"name":"Disney India","domain":"disney.in","url":"https://alion.io/company/disney-india","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-08T09:46:18Z","employer_posted_date":null,"last_verified_at":"2026-10-08T09:46:18Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":24},"description":"As a Senior Product Software Engineer II, you will collaborate with cross-functional partners and engineering teams on the design and implementation of innovative products and features, contributing to the evolution of user-centric advertising at scale. You will exercise technical ownership, provide peer mentoring, and ensure systems are robust, observable, and future-ready.\nResponsibilities:\nDesign, build, and support scalable distributed systems.\nCollaborate with product and engineering peers to deliver features that enhance user-centric advertising.\nTranslate user stories into actionable engineering tasks with ownership from development through deployment.\nMentor and support teammates through code reviews, documentation, and informal guidance.\nImprove system observability by implementing metrics, monitoring, and alerting solutions.\nParticipate in on-call rotations as part of operational excellence.\nChampion best practices in code quality, automated testing, and agile workflows.\nUse automated tools, including AI, while adhering to company policy.\nRequirements:\n5+ years of hands-on software engineering experience.\nProficiency with Java and related frameworks such as Spring Boot and ORMs.\nStrong background in relational databases such as MySQL and Postgres, including schema and query design.\nExperience working with RESTful APIs, microservices, and distributed systems.\nStrong foundation in computer science principles, including data structures and algorithms.\nStrong problem-solving, communication, and collaboration skills with both technical and non-technical stakeholders.\nUnderstanding of microservice encapsulation and loose coupling, and why they are important.\nUnderstanding of how to define technical and operational metrics to measure system health and manage risk.\nPragmatic approach to solving engineering challenges at scale.\nPassion for building and owning mission-critical systems.\nGrowth mindset, with a willingness to mentor and learn in a dynamic and fast-paced environment.\nCommitment to effective communication and collaboration across teams and systems.\nBS/MS in Computer Science, Engineering, or equivalent experience.\nNice To Have:\nExperience in ad tech.\nExperience with programmatic advertising or real-time bidding platforms.\nExperience with Spring Boot and related Spring projects.\nExperience with cloud platforms such as AWS.\nExperience with modern DevOps tools such as Terraform, Docker, and Kubernetes.\nExperience with data streaming mechanisms such as Apache Kafka, AWS Kinesis, and/or SNS/SQS.","description_format":"text","description_chars":2546,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Film Production","TV Production"],"lifecycle":[{"event":"open","at":"2026-10-08T09:46:18Z"}],"visa":[],"liveness":{"score":51,"band":"ok","label":"Likely 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