Software Engineer

Key Skills

Analytical and Problem solving, AWS, Azure, Azure CosmosDB, Big Data Technology, DynamoDB, Google Cloud Platform (GCP), Kubernetes-K8s, SaaS

Job Description

At Reltio, we’re on a mission to enable digital transformation by delivering a single source of truth for enterprise data designed for the digital experience economy. We are disrupting the master data management (MDM) software market when we launched the first cloud-native MDM software-as-a-service (SaaS) platform. The Reltio Connected Data Platform leverages a cloud-native multi-tenant architecture and our ecosystem to enable speed, agility and flexibility at scale. Companies across industries rely on Reltio to deliver mission-critical, secure, trusted real-time data at scale to create connected omnichannel experiences for their customers, partners and employees.

We’ve earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. So if you’re ready to work on unrivalled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk.

Reltio’s Focus:

At Reltio, you can take part in our mission to enable digital transformation by delivering a single source of truth for enterprise data designed for the digital experience economy. We contribute to more fulfilling and happier lives for people everywhere by delivering single source of truth for data enabling digital transformation. We leverage a cloud-native multi-tenant architecture and our ecosystem to enable speed, agility and flexibility at scale. We pride ourselves in our transparent, leadership, and meritocratic company culture and have achieved the Fortune 100 best companies to work for.

Reltio’s values:

• Customers and Partners are people not companies
• Better Together
• Simplify and Share
• Own it
• Bring your all

Leadership Expectations:

• Be one Reltio
• Be Candid & Caring
• Make Data-Driven Decisions
• Learn Teach Learn
• Role Model All Day, Every Day

About the team

Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. Engineer plays senior role in a team is technically responsible for particular feature delivery which consists of:

• Presenting solution to Architects
• Technical drive feature delivery, make decisions, development leadership - distribute tasks across one-two regular engineers
• Work with QA to review testing approaches, provide all details needed for testing, review test plans
• Be responsible for all internal feature documentation

Responsibilities

• Work closely with Tech leads and architects, Kanban master, QA and PM to deliver high quality work
• Complex features development
• Provide good code coverage in unit and integration testing
• Be ready for every day technical decisions
• Professional communication with other cross-functional team representatives
• Be ready for sustenance in areas under engineer responsibility

Required Skills

• 2+ years of experience in enterprise application design, development
• 2+ Experience in backend applications development
• Proven ability to deliver solutions, offer implementation support, engage with customers.
• 1+ years of experience in building scalable distributed data systems using Java and Cloud Technology.
• Good technical background with previous development experience for enterprise customers
• Strong Java knowledge (Java 8 and above), Java Runtime basics
• Provide Technical mentorship and leadership to junior team members.
• Hands-on technically, comfortable reviewing and writing code.
• Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems
• Experience in performance optimisations, code profiling, Java application runtime analysis

Preferred Skills

• Experience with Amazon AWS, Azure or GCP and its services
• Managed databases (AWS DynamoDB, Google GBQ, GBT, Azure CosmosDB)
• Managed Queue services (AWS SQS, Google PubSub, Azure Service Bus)
• Experience in cloud security principles
• Experience with Kubernetes
• Experience with Big Data Technologies
• Experience in customer support in SaaS area is a big plus
• MS in computer science or equivalent experience