{"id":1280253,"url":"https://alion.io/job/cgi-software-development-engineer","title":"Software Development Engineer","company":{"id":1063,"name":"CGI","domain":"cgi.com","url":"https://alion.io/company/cgi","size_band":"5000+","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":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CloudFormation","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"GitLab","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"OpenShift","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"JavaScript","optional":true},{"name":"Machine Learning","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-08-20T04:18:40Z","employer_posted_date":null,"last_verified_at":"2026-08-20T04:18:40Z","board_verified":false,"closed_at":null,"days_open":40,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":40},"description":"Role Overview :\n\nWe are seeking a forward-looking Software Development Engineer to design, build, and scale next-generation applications leveraging cloud-native architectures, AI/ML capabilities, and modern engineering practices.\n\nThe ideal candidate is a strong software engineer with expertise in distributed systems, AWS cloud technologies, platform engineering, and AI-powered application development. This individual will help establish foundational capabilities for AI agents, enable scalable agent orchestration frameworks, and drive adoption of AI-assisted software development practices across the engineering organization.\n\nThe role requires a passion for innovation and emerging AI technologies. The successful candidate will play a key role in building reusable agentic capabilities, integrating Large Language Models (LLMs), enabling AI-driven workflows, and delivering foundational services that accelerate the development of intelligent applications across the enterprise.\n\nKey Responsibilities :\n\n- Design, develop, and maintain scalable cloud-based applications using AWS services.\n\n- Build and integrate AI/ML-powered features and agents into applications using AWS AI services.\n\n- Leverage AWS Kiro and AI-assisted development tools to accelerate software delivery, automate tasks, and improve code quality.\n\n- Collaborate with cross-functional teams to define, design, and ship new features.\n\n- Implement best practices for cloud architecture, security, and performance.\n\n- Automate deployment, monitoring, and management of cloud applications.\n\n- Write clean, efficient, and maintainable code and contribute to both front-end and back-end development as a full-stack engineer.\n\n- Troubleshoot and resolve issues related to cloud infrastructure and applications.\n\n- Mentor and guide junior engineers, fostering a culture of continuous improvement.\n\n- Stay up-to-date with the latest AWS technologies and industry trends.\n\nMinimum Qualifications:\n\n- 3+ years of experience in software development, with a focus on cloud technologies.\n\n- Proficiency in AWS services such as EC2, S3, Lambda, RDS, and CloudFormation.\n\n- Strong programming skills in languages such as Python, Java, or Node.js.\n\n- Experienced in deploying and managing applications using Red Hat OpenShift Service on AWS (ROSA).\n\n- Experience with containerization technologies like Docker and Kubernetes.\n\n- Familiarity with DevOps practices and tools.\n\n- Knowledge of CI/CD pipelines and tools like Jenkins, GitLab, or AWS CodePipeline.\n\n- Hands-on experience with AWS cloud services and building distributed systems.\n\n- Experience integrating AI/ML capabilities into applications (e.g., personalization, NLP, recommendations).\n\n- Familiarity with AWS AI/ML services such as Amazon SageMaker, Bedrock, and AgentCore.\n\n- Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude, Kiro) to accomplish tasks such as generating and reviewing code, writing and maintaining tests, creating documentation, and debugging.\n\n- Understanding of prompt engineering, AI workflows, or model integration patterns.\n\n- Experience working with generative AI or LLM-based solutions is highly desirable.\n\n- Excellent problem-solving skills and attention to detail.\n\n- Strong communication and collaboration skills.\n\n- Execute with a Sense of Urgency.\n\n- Consistently prioritizes safety and security of self, others, and personal data.\n\n- Embraces diverse people, thinking, and styles.\n\nBehavioural Competencies:\n\n- Demonstrates strong ownership and accountability while fostering a collaborative, solution-oriented team culture.\n\n- Communicates with clarity and influence, builds trust, and engages effectively with diverse stakeholders across teams and geographies.\n\n- Continuously learns and adapts, embracing new ideas, emerging technologies, and innovative approaches to improve ways of working.\n\n- Shows curiosity about business needs and customer priorities, aligning behaviors and decisions to deliver meaningful outcomes.\n\nPreferred Qualifications:\n\n- Bachelors degree in Computer Science, Information Systems, Engineering, or a related technical field.\n\n- AWS Certified Solutions Architect or Developer certification.\n\n- Experience with microservices architecture and serverless computing.\n\n- Understanding of networking and security principles in cloud environments.\n\n- Familiarity with Model Context Protocol (MCP) for connecting AI models to external tools and data sources.\nSkills\nAWS, Java, Python, Machine Learning, Cloud, Artificial Intelligence, CloudFormation, 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