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Gap
31 Gap Jobs
8-12 years
₹ 24.9 - 39L/yr (AmbitionBox estimate)
Hyderabad / Secunderabad
1 vacancy
Staff Software Engineer
Gap
posted 1mon ago
Flexible timing
Key skills for the job
Design and Development: Lead the end-to-end design and implementation of highly scalable, reliable, and secure microservices using Java and Spring Boot.
Architecture & Strategy: Drive architectural improvements for large-scale systems, particularly in areas related to Kafka-based event streaming, Docker containerization, and Kubernetes orchestration.
Serverless Solutions: Architect and implement serverless solutions to meet business needs, reducing operational overhead while enhancing agility and performance.
System Integration : Ensure seamless integration between services, leveraging Kafka for real-time data streaming, and maintaining a focus on high availability and fault tolerance.
CI/CD Automation: Lead efforts to build and maintain robust CI/CD pipelines to streamline the deployment of microservices using Docker and Kubernetes in production environments.
Performance Optimization: Collaborate with SRE and DevOps teams to ensure high availability, reliability, and scalability, optimizing microservices for performance using Kubernetes and serverless best practices.
Mentorship and Leadership: Act as a technical mentor to junior and mid-level engineers, fostering an environment of learning, growth, and collaboration. Provide guidance and technical direction to engineering teams to align with best practices and long-term objectives.
Collaboration: Partner closely with product managers, architects, and stakeholders to translate business requirements into high-quality technical solutions. Lead technical discussions and decision-making processes to ensure successful project delivery.
Code Reviews & Best Practices: Conduct thorough code reviews, ensuring adherence to best practices and architectural standards in Java, Spring Boot, and microservices design.
8+ years of experience in software engineering, with extensive hands-on expertise in Java, Spring Boot, and Microservices architecture.
Proven experience with Apache Kafka or similar event streaming platforms for building distributed systems.
Strong understanding of containerization technologies like Docker and orchestration platforms like Kubernetes.
Experience working with cloud-native serverless architectures on platforms like AWS Lambda, Google Cloud Functions, or Azure Functions.
Solid understanding of CI/CD pipelines and experience with tools like Jenkins, GitLab CI, or CircleCI.
Proficiency with cloud platforms (AWS, GCP, or Azure) and a deep understanding of microservices deployment and lifecycle management in cloud environments.
Strong knowledge of RESTful API design, JSON, and gRPC.
Experience in implementing unit testing, integration testing, and performance testing to ensure system reliability.
Excellent communication skills : Ability to clearly articulate technical challenges and solutions to both technical and non-technical stakeholders. Strong ability to collaborate across teams.
Leadership and mentorship: Ability to lead technical discussions, influence decision-making processes, and mentor engineers across various teams.
Cross-functional collaboration: Proven track record of collaborating with product managers, designers, and business teams to translate business requirements into technical designs.
Strategic Thinking: Capable of making strategic technical decisions while balancing long-term goals with immediate business needs.
Problem-Solving & Innovation: Strong analytical and problem-solving skills with the ability to troubleshoot complex systems and contribute innovative solutions to technical challenges.
Adaptability and Initiative: Ability to work in a fast-paced environment, take ownership, and proactively drive initiatives to completion.
Experience with NoSQL databases such as MongoDB, Cassandra, or DynamoDB.
Familiarity with API gateways, security practices, and OAuth2/OpenID Connect.
Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
Knowledge of data pipelines and stream processing using tools like Kafka Streams or Apache Flink.
Experience working in Agile/Scrum environments.
Employment Type: Full Time, Permanent
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