{"id":3187384,"url":"https://alion.io/job/deltek-software-engineer-success-engineering","title":"Software Engineer (Success Engineering)","company":{"id":17275,"name":"Deltek","domain":"deltek.com","url":"https://alion.io/company/deltek","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"WebSockets","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon 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and containerization.\nContribute to all phases of the development lifecycle, following SOLID principles and best practices.\nWrite well-designed, testable, and efficient code with a strong emphasis on Test-DrivenDevelopment (TDD), ensuring comprehensive unit, integration, and performance testing.\nEnsure software designs comply with specifications and security best practices.\nContribute ideas to improve application maintainability and performance under the guidance of senior engineers.\n\nSpecific Responsibilities:\nDesign, develop, and ship product features end-to-end—spanning UI components, RESTful APIs, and cloud infrastructure—with increasing autonomy and technical ownership\nContribute to the design and implementation of scalable, highly available systems using Amazon Web Services, Docker, and Terraform\nEstablish and maintain software quality through robust CI/CD pipelines, comprehensive test automation, and code quality standards\nInvestigate and resolve production issues, conducting thorough root cause analysis and implementing preventive solutions and performance optimizations\nMonitor production systems, triage alerts/incidents, and drive root cause analysis through to resolution\nAct as a frontline responder for customer-reported issues—own the problem until the customer is unblocked and the system is stable\nApply system design patterns including microservice architecture and build reliable, scalable solutions\nParticipate in code reviews, architectural discussions, and sprint planning, contributing to technical excellence within the team\n\nAI-Powered Development Responsibilities: \nIntegrate AI-powered tools like Anthropic Claude and frameworks to enhance code quality and development efficiency.\nUtilize AI-driven analytics to identify performance bottlenecks and optimize system performance.\nImplement AI-based security measures to proactively detect and mitigate potential threats.\nLeverage AI for automated testing and continuous integration/continuous deployment (CI/CD)processes.\nSupport the adoption and effective use of AI agents for automating repetitive development, deployment, and testing processes within the engineering team.\nUtilize AI-assisted debugging platforms to accelerate issue identification and resolution in production environments.\nApply advanced prompt engineering techniques to generate infrastructure backend service scaffolding\nEvaluate and implement agentic AI tools that enhance developer workflows, including automated test generation, intelligent code review assistance, and deployment automation\n\nQualifications:\nBachelor's degree in Software Engineering from an Indian University\n3-5 years of professional software development experience, preferably in a product company\nMin one year of AI/ML experience\nStrong proficiency in modern programming languages such as JavaScript, C#\nTypeScript/React development: React 18+, hooks(useState, useEffect, useContext), WebSocket clients\nDemonstrated experience building and deploying web applications, with frontend and backend development\nStrong working experience with cloud platforms (AWS preferred), including scalability and enterprise cloud.\nSolid grasp of software engineering fundamentals, including data structures, algorithms, and design patterns\nExperience with security best practices in web and API development.\nExperience with Test-Driven Development (TDD).\nStrong database experience, focused on query optimization\nStrong sense of ownership and accountability for code quality and system reliability—you don't wait to be asked to fix something you notice is broken\nSelf-directed learning ability with capacity to independently research\nCollaborative mindset with excellent communication skills for technical discussions\nCustomer-first mindset\n\nAI-Specific Qualifications:\nPractical experience with prompt engineering and LLM response optimisation\nKnowledge of AI-driven development tools and platforms such as Claude Code and GitHub Copilot in Agentic Mode.\nKnowledge of AI-based security protocols and threat detection systems.\nExperience integrating GenAI or Agentic AI agents into full-stack workflows (e.g., using AI for code reviews, automated bug fixes, or system monitoring).\nDemonstrated proficiency with AI-assisted development tools and prompt engineering for code generation, testing, or documentation.\n\nPreferred Experience:\n- Hands-on experience with AWS services—Lambda, EC2, ECS, S3, DynamoDB, RDS; \n-Certification in AWS required\n- Practical knowledge of containerization (Docker) and infrastructure-as-code\n- Experience building and maintaining CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI\n- Proficiency with PostgreSQL, including query optimisation and schema\n- Frontend development experience with React or similar modern frameworks\n- Backend API development using Node.js\n- Comfortable reading/writing Python for scripting and automation\n- Experience with microservices architecture and distributed systems\n- Active use of GenAI tools (ChatGPT, GitHub Copilot, Claude, Codeium, etc.) in your development workflow\n- Track record of implementing AI-powered features or intelligent automation\n\nWhat Sets You Apart:\n- Prior experience in a support/on-call or SRE-adjacent rotation\n- Experience debugging live production issues, not just local/staging environments\n- Curiosity about system reliability, observability, and incident response practices\n- Enthusiasm for staying current with emerging technologies, particularly\nSkills\nJavascript, Amazon Web Services (AWS), AWS Lambda, Artificial Intelligence (AI), Machine Learning (ML), SRE, 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