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we are looking for an experienced Software Team Lead to lead a team developing high-performance, mission-critical software for next-generation cellular networks.
In this role, you will combine technical leadership, people leadership, and hands-on development, driving the design and delivery of scalable solutions used by leading mobile operators worldwide. You will play a key role in shaping the architecture of our company's next-generation monitoring and analytics platform while mentoring engineers and fostering a culture of technical excellence, ownership, and innovation.
Working closely with architects, product managers, and cross-functional R&D teams, you will influence technical direction and lead the development of complex systems across 4G/5G, Radio, and Core Network technologies.
Responsibilities
Lead, mentor, and develop a team of software engineers, supporting their professional growth and technical excellence.
Drive architectural and technical design decisions for high-scale, performance-critical systems.
Take end-to-end ownership of projects, from design and implementation through deployment and continuous improvement.
Remain deeply involved in hands-on development, debugging, performance optimization, and solving complex technical challenges.
Collaborate closely with Product Management, Architects, and R&D teams to define technical roadmaps and deliver impactful solutions.
Build highly scalable, reliable, and efficient software infrastructure supporting next-generation cellular networks.
Promote engineering best practices, code quality, design reviews, and technical innovation across the team.
Lead cross-functional initiatives and drive alignment between multiple stakeholders and engineering teams.

The company Data Platform is a framework that connects vast patient healthcare data from multiple sources daily, utilizing privacy-safe methodologies to maintain a current view of the US healthcare market. Positioned at the intersection of Big Data and innovative technology, it provides life sciences companies with the insights needed to make strategic business decisions and drive improved patient outcomes.
As a QA automation engineer, you will take a leading part in assuring the quality of our infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark, and other technologies.
What You'll Do
Be part of an excellent agile team
Create detailed test plans
Write and maintain integration, sanity, and regression tests for our products and services
Create and maintain documented coverage of tests
Review and analyze test results
Take part in all scrum activities (estimation sessions, planning, reviews)
Work on CI/CD tools (Git, Jenkins, JIRA) daily
Leveraged AWS cloud services-including S3 and message queues-alongside REST APIs and relational databases to build scalable backend solutions.

we are the industry leader in healthcare marketing analytics. We deidentify large scale healthcare datasets and transform it into actionable insights, allowing life sciences organisations to optimize how they reach and support patients. our company operates at the intersection of Big Data and AdTech. We combine the fast paced delivery of a start-up with the long-term security of a global leader.
You will play a key role in ensuring our customers successfully deploy, integrate, and operate our platform. By leading complex technical integrations and solving challenging infrastructure problems, you'll directly impact customer success, platform reliability, and the delivery of critical healthcare data solutions.
Our engineering philosophy prioritizes speed without compromising on quality. You will integrate into a lean and focused team with the encouragement to drive technical decisions and the accountability to execute. We value individuals who want to solve complex problems over following a rigid script, providing the space to influence both architecture, delivery and strategy.
Leadership shares a clear vision of the future, ensuring every sprint contributes to a larger objective. By helping treatments reach the right people, we use our engineering expertise to improve the healthcare landscape and act in the best interest of the patient.
What You'll Do
Own end-to-end integrations for large enterprise customers.
Work with modern cloud technologies across AWS, Azure, and GCP.
Solve unique technical challenges involving infrastructure, security, networking, and automation.
Collaborate closely with Engineering, Product, Customer Success, and customer technical teams.
Influence architecture, best practices, and the future direction of our deployment and integration processes.
Lead customer onboarding and technical integration projects from planning through production deployment.
Design, deploy, and troubleshoot cloud infrastructure using Infrastructure as Code (Terraform, Ansible, CloudFormation).
Implement and support Kubernetes, compute, networking, storage, and security configurations across multiple cloud providers.
Automate deployment, upgrade, and operational workflows to improve reliability and efficiency.
Investigate and resolve complex production issues, performing root cause analysis and driving permanent fixes.
Partner with customers and internal engineering teams to deliver scalable, secure, and highly available solutions.
Develop technical documentation, implementation guides, and operational runbooks.
Mentor engineers and contribute to improving engineering standards, tooling, and operational excellence.

As an LLM Engineer, you will be responsible for developing and implementing cutting-edge Large Language Model (LLM) technologies to create innovative hiring agents for our companys global clients. In this role, you will:
Dive deep into LLM technologies, actively researching and experimenting with new solutions to drive innovation in hiring practices.
Implement practical applications of LLM research findings into end-user-facing applications, creating scalable and impactful tools that directly impact clients.
Design and implement LLM evaluation frameworks to assess and integrate new AI models, parameters, and techniques
Adopt lean methodologies to swiftly meet business objectives, swiftly iterating based on client feedback and being unafraid to take risks and learn from failures.
Deeply understand product challenges to make intelligent and efficient software-building decisions.

About the Role
Design, build, and improve ML-powered software products that deliver real value to users.
Explore, analyze, and model large-scale textual data to support accurate predictions, classification, and decision-making.
Develop and evaluate NLP and machine learning models, using LLMs and generative AI techniques when relevant.
Move quickly from data analysis and experimentation to prototypes, production-ready code, and integration with other services.
Own the quality, performance, and ongoing improvement of your work through metrics, evaluation, and data-driven iteration.
Collaborate with product, engineering, and research partners while learning from a strong technical team.

As a Senior Applied AI Engineer, you will lead the bridge between cutting-edge AI capabilities and production-grade software. You will design, build, and optimize the intelligent systems, agentic workflows, and LLM-driven architectures that power our companys conversational products.
Also, you will combine software engineering rigour with state-of-the-art Generative AI techniques - optimizing for conversational quality metrics, latency, and system reliability in high-scale production environments, serving millions of users. We are looking for an engineer who is hungry for AI innovation, eager to pioneer new generative capabilities, and passionate about shipping impactful AI solutions.
In this role, you will:
Design & Scale AI Systems: Architect and deploy high-performance LLM orchestration systems, agentic workflows, retrieval-augmented generation (RAG) pipelines, and AI microservices.
Bridge AI Research & Production: Transform frontier LLM research, foundation models, and generative techniques into robust, production-ready features with high availability and low latency.
LLM Evaluation & Guardrails: Design and implement automated LLM evaluation (evals) frameworks, benchmark suites, and guardrail policies to continuously measure accuracy, reduce hallucinations, and ensure safety across product flows.
Optimize Performance & Cost: Lead latency, throughput, and token-cost optimization strategies across commercial APIs and open-source models.
Set AI Engineering Standards: Elevate software craftsmanship across the team through architectural reviews, code quality, and LLMOps best practices, utilizing the latest AI tools.
Drive Product Innovation: Collaborate closely with product and engineering teams to translate complex human resource and conversational challenges into intelligent software solutions.

As the Development Team Lead for HiredScore Sourcing Products, you will manage and mentor a cross-functional team of Full-Stack Engineers, Backend Engineers, and QA Automation Specialists.
Your team's core mission will be to translate AI/ML insights into seamless, scalable features that drive efficiency in recruiter workflows-specifically through resurfacing past applicants, prospects, and internal talent. You will own the entire development lifecycle for your products, from core API implementation to deploying user-facing applications and integration layers (web UIs, RPA/workflows, MS Teams bots)
Key Responsibilities:
Lead, mentor, and grow the diverse engineering team, ensuring effective collaboration between backend, full-stack, and QA functions. Drive best practices in development, code quality, and delivery speed.
Design, document, and oversee the implementation of scalable, reliable, and secure systems, ensuring seamless integration between backend AI services and the user-facing product layers.
Ensure the team maintains a strong quality and automation culture by providing strategic direction to QA specialists and upholding high standards for testing and product stability.
Drive development across the full spectrum of product surfaces: APIs (GraphQL/REST), Web Applications (React/Angular/Vue), and specialized engagement layers.
Ensure efficient consumption of AI outputs by downstream systems, particularly through robust queue-based architectures (like RabbitMQ) and workflow automation (RPA).
Partner closely with Product Management, Data Science, and other engineering teams to translate business requirements into technical execution.

As a Product Manager , you will define how next-generation AI workloads interact with high-performance storage and networking systems.

This is a deep-tech product role at the core of our platform, where your decisions directly impact performance, scalability, and efficiency across large-scale AI environments.

Youll operate at the intersection of product, distributed systems, and hardware-aware infrastructure - shaping how modern data platforms are built and optimized.

What You'll Do

Define and execute product strategy for platform and infrastructure layer
Own the product roadmap - balancing innovation, performance, and customer needs
Work closely with engineering to design and deliver high-performance capabilities
Translate complex technical challenges into clear product decisions and priorities
Partner with customers and internal teams to understand real-world use cases and constraints
Stay ahead of trends in storage, networking, and distributed systems
Collaborate with top engineers, architects, and customers solving cutting-edge challenges

The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the solution - our customers data.

As a Senior Software Engineer, youll:

Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

As a Senior Software Engineer, you'll be an integral part of our Platform Group-a hands-on team of seasoned engineers responsible for building and optimizing the critical low-level components that power our infrastructure. This includes the networking stack, storage systems, task scheduling framework, and other foundational systems.

As a Senior Software Engineer, youll:

Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code review;
Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing; and
Challenge our benchmarks with performance testing around IO and storage throughput.