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Join an innovative and groundbreaking cybersecurity startup focused on helping customers identify, mitigate, and protect against ever-evolving cyber threats. With the current geopolitical climate, organizations need to stay ahead of malicious threat actors as well as nation-state actors. Cybersecurity teams are getting overwhelmed, and they need intelligent systems to help them focus on addressing the biggest and current risks first.

We help organizations protect their assets and customer data by continuously evaluating the new threats and risks to their cloud environment. This will, in turn, help mitigate the high-priority threats quickly so that the engineers can spend more time innovating and providing value to their customers.

About the Engineering Team:

We have several decades of experience working in the security industry, having worked on some of the most cutting-edge security technology that helped protect millions of customers. We have built technologies from the ground up, partnered with the industry on innovation, and helped customers with some of the most stringent requirements. We leverage industry and academic experts and veterans for their unique insight. Security technology includes all facets of software engineering work from data analytics and visualization, AI/ML processing, highly distributed and available services with real-time monitoring, integration with various other services, including protocol-level work. You will be learning from some of the best engineering talent with multi-cloud expertise.

We are looking for a highly experienced Principal Software Engineer to lead the development and scaling of our backend systems. The ideal candidate will have extensive experience in distributed systems, database management, Kubernetes, and cloud technologies. As a key technical leader, you will design, implement, and optimize critical backend services, working closely with cross-functional teams to ensure system reliability, scalability, and performance.

Key Responsibilities:

• Architect and Develop Distributed Systems: Design and implement scalable, distributed systems using microservices architecture. Expertise in both synchronous (REST/gRPC) and asynchronous communication patterns (message queues, Kafka), with a strong emphasis on building resilient services that can handle large data and maintain high throughput. Craft cloud solutions tailored to specific needs, choosing appropriate AWS services and optimizing resource utilization to ensure performance and high availability.
• Database Architecture & Optimization: Lead efforts to design and manage databases with a focus on scaling, replication, query optimization, and managing large datasets.
• Performance & Reliability: Engage in continuous learning and innovation to improve customer satisfaction. Embrace accountability and respond promptly to service issues to maintain and enhance system health. Ensure the backend systems meet high standards for performance, reliability, and scalability, identifying and solving bottlenecks and architectural challenges by leveraging various observability tools (such as Prometheus and Grafana).
• Leadership & Mentorship: Provide technical leadership and mentorship to other engineers, guiding architecture decisions, reviewing code, and helping to build a strong engineering culture. Stay abreast of the latest industry trends in cloud technology, adopting best practices to continuously improve our services and security measures.

Key Qualifications:

• Experience: 8+ years of experience in backend engineering, with at least 5 years of experience in building distributed systems.
• Technical Expertise:
• Distributed Systems: Extensive experience with microservices architecture, working with both synchronous (REST, gRPC) and asynchronous patterns (SNS, SNQ). Strong understanding of service-to-service authentication and authorization, API rate limiting, and other critical aspects of scalable systems.
• Database: Expertise in database technologies with experience working with large datasets, optimizing queries, handling replication, and creating views for performance. Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., DynamoDB, Cassandra). Expertise in various database technologies and deep experience with creating data models that provide consistent data views to the customer while data is being morphed, handling data migrations, and ensuring data integrity and high availability.
• Kubernetes: In-depth knowledge of Kubernetes, with experience deploying and managing services in Kubernetes clusters (EKS, AKS). Strong understanding of pods, services, networking, and scaling applications within Kubernetes environments.
• Golang: Proven experience using Golang as the primary programming language for backend development. Deep understanding of concurrency, performance optimization, and scalability in Golang applications.
• Cloud Technologies: Strong hands-on experience with AWS services (EC2, S3, DynamoDB, Lambda, RDS, EKS). Experience in designing and optimizing cloud-based architectures for large-scale distributed systems.
• Problem Solver: Strong problem-solving and debugging skills, with a proven ability to design and optimize complex systems.
• Leadership: Experience in leading engineering teams, guiding architectural decisions, and mentoring junior engineers.

Preferred Skills:

• Experience with infrastructure as code (Terraform, CloudFormation).
• Knowledge of GitHub-based CI/CD tools and best practices.
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK).
• Cybersecurity experience.

Please find below updated JD for Java requirement.

-Work with a performance-oriented team driven by ownership and open to experiment.

• -6+ years of Java advanced software development experience, with concurrent (multi-threaded) programming highly desirable.
• -Strong experience on Core Java 8, Java EE, Spring Boot, Maven and Docker including Multi-threading.

.          -Strong problem solving skills, computer science fundamentals, data structures and algorithms.

• -Hands on experience with any SQL Database.
• -Ability to learn new technologies like ELK, stack, redis etc.
• -Must have expert level knowledge in Java, Springboot.
• -Must have knowledge or hands on experience in microservices, apache kafka and distributed caching.

.           -Experience in distributed/scalable systems

• -Strong knowledge of design patterns and software engineering best practices.
• -Familiarity with standard development tools and processes: Git, Eclipse, JUnit test, debugging, profiling, etc.

.           -Familiarity with CI/CD and DevOps

.           -Strong knowledge and previous experience in end-to-end design, development and subsequent

             support of large-scale data processing systems

.           - Familiarity and confidence working in an agile development environment.

.           - Good Problem solving skills

• - Good oral and written communication skills.
• - Strong debugging skills.

• Mandatory skills: Spring boot, Hibernate, Microservice
• Strong Java skills including Java 8 features 
• Good understanding of Microservices-based architecture and the related ecosystem 
• Exposure to MS SQL Server, Sybase etc. and NoSQL databases like MongoDB is also preferred.
• Great OO skills, including strong design patterns knowledge 
• Strong knowledge of software best practices, like Test-Driven Development (TDD) and
• Continuous Integration (CI) 
• Strong Knowledge of Data Structures & Algorithms
• Experience in working with data-driven RESTful APIs using web frameworks like SpringBoot,etc. 
• Should be able to do data modeling
• Good understanding of ORMs like Hibernate, JPA, etc. 
• Strong debugging skills
• Familiarity with architectural/ design patterns
• Advanced knowledge of Agile methodology.

• Extensive experience in developing Java EE application
• Hands-on experience working with Spring, Spring Boot
• In-depth knowledge of relational and NoSQL databases.
• Experience working with Java Web Services, RESTful services 
• Experience using Redis, Memcached or any other caching system
• Experience working with message brokers– preferably RabbitMQ
• Experience with infrastructure automation technologies like Docker, Kubernetes.
• Experience with build automation technologies like Maven, Gradle.

Locus is a global decision- making platform in the supply chain that uses deep learning and proprietary algorithms to provide route optimization, real-time tracking, insights and analytics, beat optimization, efficient warehouse management, vehicle allocation and utilization, intuitive 3D packing and measurement of packages. Locus automates human decisions required to transport a package or a person, between any two points on earth, delivering gains along efficiency, consistency, and transparency in operations.

Locus, which has achieved a peak of 1 million orders processed in a day (200,000 orders an hour) and is trained & tested on over 100 million+ order deliveries, works in 75 cities across the globe. Locus works with several large-scale market leaders like Urban Ladder, Tata Group of Companies, Droplet, Licious, Rollick, Lenskart, other global FMCG, pharma, e-commerce, 3PL and logistics conglomerates.

Locus is backed by some of the biggest names in the market and recently raised $22 MN in Series B funding and also $4 Mn in a pre-Series B round. Earlier, In 2016, Locus raised $2.75 Mn (INR 18.3 Cr) in a Series A funding.

Locus was started by Nishith Rastogi and Geet Garg, two ex-Amazon engineers on a mission to democratize logistics intelligence for businesses across industries. Nishith was profiled by Forbes Asia in their ’30 Under 30’ 2018 list. Geet, on the other hand, holds a dual degree (BTech and MTech) in Computer Science and Engineering from the Indian Institute of Technology. Our team constitutes of engineers from Indian Institute of Technology and Birla Institute of Technology & Science- Pilani, and Data Scientists with PhDs from Carnegie Mellon University and Tata Institute of Fundamental Research. Our multifaced product and business team is led by senior members from Barclays, Google & Goldman Sachs with immense operational execution experience.

Job Description

• Design & implement backend APIs at Locus.sh
• Mentor junior developers technically.
• Actively work to reduce tech debt in the Locus backend
• Work towards more stability & scalability of the backend
• Tech stack - Java, AWS, Aurora etc.

Eligibility

• 4-8 years of product company experience
• OOP implementation experience. Programming language does not matter, We use Java internally but have hired folks from non Java background.
• Hands on experience in SQL, Dynamo DB, Postgres etc preferred.
• Prior experience building REST APIs
• Advanced understanding of AWS stack
• Prior knowledge of solving problems at scale.

Perks:

• Healthy catered meals at office
• You decide your own Work From Home (WFH) and Out Of Office (OOO)
• Pet-friendly - bring your pets to the office any day. Locus family already has a Rottweiler and a Beagle