{"id":4186087,"url":"https://alion.io/job/weekday-software-development-engineer-3","title":"Software Development Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":117,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Redis","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-12T18:17:58Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T18:17:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"'\n: - ( - )\nExperience: 7+ yrs\nLocation: Bengaluru, Karnataka, India\nAs a Software Development Engineer, you will architect and develop high-performance backend services that drive our fintech platform, leveraging Python to build scalable, maintainable solutions. You will be responsible for designing data models that support complex financial analytics and AI inference pipelines, ensuring low latency and high throughput across distributed environments. Your work will involve collaborating closely with data scientists, product managers, and DevOps to translate market needs into reliable, secure, and GDPR-compliant products that empower customers to make smarter financial decisions. You will also mentor junior engineers, contribute to open source initiatives, and stay ahead of emerging technologies in AI and backend engineering to continuously improve our technology stack.\nRequirements\nDesign and implement scalable microservices architecture using Python and asynchronous frameworks.\nBuild and optimize data models for real-time transaction processing and predictive analytics.\nDevelop AI/ML integration points for fraud detection, credit scoring, and personalized recommendation engines.\nEnsure system resilience with robust error handling, monitoring, and automated testing pipelines.\nCollaborate with cross-functional teams to translate business requirements into technical specifications.\nConduct code reviews, maintain coding standards, and promote best practices across the engineering team.\nOptimize database performance through indexing, query tuning, and data warehousing strategies.\nChampion security by implementing token-based authentication, encryption, and secure data flow.\nContinuously evaluate new technologies and frameworks to enhance scalability and developer productivity.\nMentor junior developers and contribute to technical knowledge sharing sessions.\n7+ years of professional experience in software engineering with a focus on backend development.\nProficiency in Python, including frameworks such as FastAPI, Django, or Flask.\nDeep understanding of scalable distributed systems and cloud infrastructure (AWS, GCP, or Azure).\nExperience designing and implementing data models for financial data and analytics workloads.\nHands-on expertise with AI/ML libraries (TensorFlow, PyTorch, Scikit-learn) and integration into production systems.\nStrong knowledge of relational and NoSQL databases, including PostgreSQL, MongoDB, and Redis.\nFamiliarity with CI/CD pipelines, Docker, Kubernetes, and automated testing frameworks.\nExcellent problem-solving skills and ability to work in a fast-paced, collaborative environment.\nPassion for fintech innovations, regulatory compliance, and data privacy best practices.\nDemonstrated leadership in mentoring or leading technical teams and contributing to open source projects.","description_format":"text","description_chars":2845,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-12T18:17:58Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely 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