Vacancy description
Ognam Technology Services Pvt Ltd
Hyderabad, भारत
Role & responsibilities : - Lead design and development of complex, distributed, high-availability systems in Go, Python, and Node.js- Define technical approach and engineering best practices for the team- Own key AWS infrastructure decisions covering scalability, cost, security, and resilience across container orchestration platforms (EKS, OpenShift) and serverless/compute services- Drive automation strategy across CI/CD, infrastructure provisioning, testing, and operations- Lead technical design reviews and set coding and architecture standards- Mentor engineers and guide their technical growth- Collaborating with senior leads to drive delivery efficiency and technology excellence- Partner with product and business stakeholders to translate requirements into technical solutions- Lead incident response, root-cause analysis, and long-term reliability improvements- Evaluate and introduce new tools and technologies where they add clear valuePreferred candidate profile : - Bachelors or masters degree in computer science, Engineering, or a related field- 8 - 10 years of software engineering experience, with significant depth in distributed systems- Expert-level proficiency in Go and Python, with strong working proficiency in https://jobeax.com/link/JSd7UYCSg572jJDY for polyglot service environments- Deep hands-on expertise with AWS architecture and services, including container orchestration on EKS- Hands-on experience running and operating workloads on Red Hat OpenShift as an enterprise Kubernetes platform- Proven experience designing and scaling automation frameworks and infrastructure-as-code (Terraform, CloudFormation, or Ansible)- Strong grasp of distributed systems fundamentals : consistency models, fault tolerance, service mesh, messaging systems (Kafka, SQS/SNS), and data partitioning- Experience leading technical projects or small teams- Strong written and verbal communication skills for working with cross-functional and client stakeholders- Strong, demonstrated use of AI-assisted and agentic development workflows (Claude Code, Copilot, Cursor, or similar) across the full development lifecycle : design, coding, testing, review, and documentation- Able to define and enforce team-level standards for responsible AI-assisted coding, including validation rigor, security scanning of AI-generated code, and avoiding data leakage in prompts- Practical knowledge of AI/LLM integration patterns for backend systems : APIs, prompt design, retrieval-augmented generation (RAG), embeddings, and agentic workflows (e.g., MCP)- Able to identify where AI-driven automation can meaningfully improve engineering velocity, code quality, or operational efficiency, and lead adoption within the team- Ensures AI tool usage on the team aligns with data privacy and security requirements, particularly around PHI and other sensitive health plan data (ref:hirist.tech)