{"id":1380014,"url":"https://alion.io/job/dash-hire-lead-backend-engineer","title":"Lead Backend Engineer","company":{"id":3800225,"name":"Dash Hire","domain":"dashhire.co","url":"https://alion.io/company/dash-hire","size_band":"51-200","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":"lead","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":27000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CloudFormation","optional":false},{"name":"DynamoDB","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-28T07:38:59Z","employer_posted_date":null,"last_verified_at":"2026-09-28T07:38:59Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"About the Role:\n\nWe are looking for an experienced Lead Backend Engineer to lead the design and development of scalable, high-performance backend systems.\n\nThe ideal candidate will have strong expertise in Python and AWS, along with proven experience in building cloud-native and distributed applications.\n\nThis role involves hands-on technical leadership, architecture ownership, and collaboration with engineering and product teams to build reliable, scalable, and secure technology solutions.\n\nKey Responsibilities:\n\n- Lead the design, development, and delivery of scalable backend applications and services using Python.\n\n- Own backend architecture and make technical decisions around scalability, performance, reliability, and maintainability.\n\n- Design and develop robust APIs, microservices, and cloud-native applications.\n\n- Architect and implement solutions using AWS cloud services.\n\n- Build and optimize serverless architectures using AWS Lambda.\n\n- Design efficient data models and highly scalable data solutions using DynamoDB.\n\n- Evaluate and integrate Amazon Bedrock and AI capabilities into backend products where applicable.\n\n- Establish effective monitoring, logging, alerting, and observability using Amazon CloudWatch.\n\n- Automate infrastructure provisioning and configuration using AWS CloudFormation.\n\n- Drive best practices around code quality, system design, security, scalability, and performance.\n\n- Identify and resolve complex production, performance, and reliability issues.\n\n- Lead technical discussions, architecture reviews, and design sessions.\n\n- Conduct code reviews and establish engineering standards and development practices.\n\n- Mentor and guide software engineers, fostering technical excellence within the team.\n\n- Collaborate with Product, Engineering, DevOps, and other stakeholders to translate business requirements into scalable technical solutions.\n\n- Contribute to technical roadmaps and continuously evaluate emerging technologies and engineering practices.\n\nTech Stack:\n\n- AWS Lambda, Amazon DynamoDB, Amazon Bedrock, Amazon CloudWatch, AWS CloudFormation, Python\n\nRequired Skills:\n\n- 7+ years of experience in backend software development or a related engineering role.\n\n- Strong hands-on expertise in Python.\n\n- Proven experience designing and building scalable backend systems, APIs, and microservices.\n\n- Strong hands-on experience with AWS cloud services.\n\n- Strong understanding of cloud-native, serverless, and distributed system architectures.\n\n- Experience with system design, scalability, performance optimization, and reliability engineering.\n\n- Experience with production systems, monitoring, debugging, and incident resolution.\n\n- Strong understanding of software engineering best practices, design patterns, and clean code principles.\n\n- Experience mentoring engineers and providing technical leadership.\n\n- Strong problem-solving, communication, and stakeholder-management skills.\n\nEducation:\n\n- B. 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