Senior Software Engineer

Resilinc

IndiaPosted 6 days ago

Skill Required

Engineering JobsSoftware EngineerSoftware DeveloperandAIFulltime

Key highlights

5-8+ years of backend engineering experience required
Fully remote position
Must have strong hands-on experience with Java, Spring Boot, and PostgreSQL
Experience with Azure, Docker, Kubernetes, and CI/CD pipelines required
Named a 2025 Gartner Magic Quadrant Leader
Backed by Vista Equity Partners

Role overview

Resilinc is building intelligent, autonomous supply chain systems powered by agentic AI, helping global enterprises predict and respond to disruptions in real time. As a recognized 2025 Gartner Magic Quadrant Leader, Resilinc serves top companies in life sciences, aerospace, high tech, and automotive. This fully remote, mission-led engineering role involves designing, developing, and maintaining scalable backend services using Java, Spring Boot, microservices, PostgreSQL, and cloud-native technologies in Azure. The team values collaboration, engineering excellence, and meaningful impact.

Responsibilities

Design, develop, test, deploy, and maintain scalable, high-performance backend services using Java and Spring Boot.
Build clean, reusable, production-quality code and contribute to technical design and architecture decisions.
Design and develop RESTful APIs and microservices with a focus on high availability, scalability, resilience, and fault tolerance.
Implement secure service-to-service integrations, authentication, authorization, and API security best practices.
Work extensively with PostgreSQL and other relational databases; design efficient schemas and data-access solutions.
Write and optimize complex SQL, including joins, subqueries, set operations, and aggregate functions, and work with JPA/Hibernate.
Deploy, manage, and scale cloud-native applications in Azure environments using modern CI/CD practices.
Work with Docker and Kubernetes for containerized application deployment, orchestration, and operational readiness.
Apply distributed-systems concepts, multithreading, concurrency, caching, resilience, retry, and fault-tolerance patterns where appropriate.
Develop unit and integration tests using JUnit, Mockito, Testcontainers, or similar tools; participate actively in code reviews.
Partner with product managers, architects, QA, DevOps, and other engineers to plan and deliver high-quality features and services.
Mentor junior and mid-level engineers, provide constructive technical guidance, and help raise engineering standards across the team.
Diagnose complex production issues, perform root-cause analysis, and implement durable fixes.
Proactively improve application performance, scalability, observability, security, development processes, and code quality.
Stay current with relevant technologies and evaluate practical improvements to the engineering ecosystem.

Requirements

Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
5-8+ years of professional software development experience, with strong hands-on expertise in Java, Spring Boot, and backend engineering.
Strong experience designing REST APIs, microservices, and distributed applications using object-oriented design, SOLID principles, and common design patterns.
Strong RDBMS and PostgreSQL experience, including 3+ years of hands-on work with complex SQL queries, subqueries, joins, set operations, aggregate functions, schema design, and query optimization.
Hands-on experience with JPA/Hibernate, Git, Maven or Gradle, and automated testing frameworks such as JUnit and Mockito.
Experience with Azure, Docker, Kubernetes, and CI/CD pipelines; familiarity with messaging or event-streaming platforms such as Kafka is desirable.
Strong debugging, analytical, problem-solving, and performance-tuning skills, with a solid understanding of secure backend development.
Excellent communication and collaboration skills, with experience working in Agile/Scrum teams.
Ability to take ownership, manage changing priorities, and thrive in a fast-paced product engineering environment.

Nice to have

Experience building high-volume, highly available SaaS or enterprise platforms.
Experience with Apache Kafka, Redis, PostgreSQL
Experience with Spark will be valuable
Knowledge of OAuth 2.0, JWT, observability tools, and DevOps practices.
Familiarity with performance testing, infrastructure as code, Domain-Driven Design, or front-end technologies such as Angular or React.