Top Engineering Jobs

Contribute to a development team from day one, design and code features, work across full product lifecycle, report to senior engineers, apply data structures and algorithms, and gain practical software engineering experience.

Build a cross-platform endpoint agent to detect and attribute AI-generated code at the line level, design pipelines to capture/classify/store developer and agent activity, work with Git internals, integrate with coding agents, and ensure reliable, invisible production deployments across macOS, Linux, and Windows.

Lead technical roadmap and delivery for Search Data: design and evolve large-scale data platforms and pipelines (streaming and batch), simplify legacy systems, ensure data quality and freshness for search/AI, drive operational excellence, mentor engineers, and define architecture and standards across teams.

Lead technical strategy for government opportunities, build relationships with agency executives, and provide solutions for secure collaboration and compliance. Mentor and guide pre-sales team, while focusing on public sector technology decisions and modernization risk reduction.

Lead post-sales technical implementations for enterprise customers of the DX platform, design custom integrations, map platform architecture into customer workflows, run technical workshops, advise on developer experience and deployment best practices, and relay customer technical feedback to Product and Engineering to influence the roadmap.

Design, build, and support secure, scalable cloud network solutions for AWS. Implement IaC, CI/CD pipelines, and networking (L3-L7) including IP, DNS, VPC peering, subnets, and EC2. Lead proofs-of-concept, production projects, automation, and operational troubleshooting.

Lead Partner Solutions strategy in India to drive enterprise cloud and AI adoption. Design scalable Atlassian-based architectures, enable partners with workshops, packaged solutions, and GTM plans, and guide customers through secure cloud migrations to realize measurable platform value.

Backend engineer building data-heavy, distributed streaming platforms. Design and operate resilient, high-throughput low-latency pipelines using JVM languages and streaming systems. Deploy and run services across cloud providers, use cloud primitives and infrastructure-as-code, and take ownership of delivery while collaborating with cross-functional teams.

Design, build, and operate backend services for data-heavy, distributed systems. Work with JVM languages, event streaming (Kafka/Kinesis/Flink/SQS), and multi-cloud infrastructure to deliver resilient, high-throughput, low-latency data pipelines. Own features end-to-end, write high-quality code, and collaborate across teams to drive delivery and platform improvements.