#LI-RM6 #LI-Hybrid

Role

We are looking for a Staff Software Engineer for a hybrid role based in Bangalore, reporting to the Sr. Director of Software Engineering in the platform convergence department. You will design and build a low-latency, high-throughput data forwarding plane using Rust, leveraging its async/await model for efficient I/O and service-oriented infrastructure. Your work will focus on developing distributed, scalable systems that bridge the gap between control and orchestration layers through fault-tolerant gRPC-based services.

What you’ll do (Role Expectations)

• Design and build a low-latency, high-throughput data forwarding plane using Rust, leveraging its async/await model for efficient I/O and service-oriented infrastructure
• Develop distributed, scalable systems with a focus on concurrency, fault tolerance, and messaging
• Implement and maintain gRPC-based APIs and services to integrate forwarding plane capabilities with control and orchestration layers
• Optimize system performance through profiling tools across kernel-space and user-space
• Engage in code reviews, system design discussions, technical documentation, and mentoring junior engineers

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of software development experience with extensive coding in Rust, particularly in systems programming and async frameworks like Tokio or async-std
• Proven expertise in building resilient, observable, and horizontally scalable distributed systems
• Strong understanding of Linux fundamentals, including networking, namespaces, sockets, and kernel-user space interaction
• Proficient in container-based environments, Git, CI/CD workflows, and performance instrumentation

What Will Make You Stand Out (Preferred Qualifications)

• Experience with systems languages like C/C++ or Go, particularly in performance-critical environments
• Familiarity with Linux networking stacks, kernel-space technologies (eBPF, XDP, DPDK), bare-metal deployments, and Kubernetes networking
• Hands-on experience with gRPC, Protobufs, service-oriented architectures, and L2–L4 networking protocols

#LI-Hybrid #LI-RM6

Role 

We are looking for a Staff Machine Learning Engineer to join our Exposure Management & Security Operations team. This role is a hybrid position based in Bangalore, reporting to the Sr. Manager, Engineering Strategy, Planning & Analytics. You will join the team that built the world’s largest cloud security platform from the ground up, helping to scale a multitenant architecture that serves over 15 million users globally. Your vision and passion will be critical as we continue to innovate and enable organizations to harness the speed and agility of a cloud-first strategy.

What you’ll do (Role Expectations)

• Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems from data ingestion to monitoring
• Driving innovation by researching and evaluating emerging AI/ML frameworks, rapidly prototyping novel solutions, and championing full-scale implementation
• Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems
• Leading and mentoring junior engineers in system design best practices and promoting technical excellence
• Collaborating with cross-functional teams to translate complex business needs into technical solutions

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful.
• You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact.
• You are a learner with a growth mindset, actively seeking feedback to become a better partner and a stronger teammate.
• You are driven by innovation and have a deep curiosity for how things work, believing in the power of technology to accelerate transformation.

What We’re Looking for (Minimum Qualifications)

• At least 5 years of experience as a Machine Learning Engineer with a track record of shipping complex, scalable ML systems to production
• Proven experience building Gen AI/ML systems with LLMs, fine-tuning, Retrieval-Augmented Generation (RAG), and Agentic AI in production environments
• Experience designing and implementing distributed ML systems with deep knowledge of MLOps, including monitoring and logging
• Strong computer science foundation in data structures, algorithms, and system design with expertise in Python and SQL
• Excellent communication and interpersonal skills to partner effectively across global engineering teams

What Will Make You Stand Out (Preferred Qualifications)

• Expertise with cloud services such as AWS, GCP, or Azure and ML platforms like Kubeflow or SageMaker
• Proficiency in systems programming languages like Go or Rust with an understanding of distributed systems and networking fundamentals
• A record of research, publications, or patents in AI/ML

#LI-Hybrid #LI-VV3

Role

 We are looking for a Principal Software Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Sr. Director of Software Engineering within the Platform Convergence department. You will design and build a low-latency, high-throughput data forwarding plane using Rust, leveraging its async/await model for efficient I/O and service-oriented infrastructure. You will develop distributed, scalable systems with a focus on concurrency and fault tolerance to bridge the gap between control and orchestration layers.

What you’ll do (Role Expectations)

• Design and build a low-latency, high-throughput data forwarding plane using Rust and async/await models for efficient service-oriented infrastructure
• Develop distributed, scalable systems with a heavy focus on concurrency, fault tolerance, and messaging
• Implement and maintain gRPC-based APIs and services to integrate forwarding plane capabilities with control and orchestration layers
• Optimize system performance through deep profiling across kernel-space and user-space
• Drive technical excellence through code reviews, architectural discussions, documentation, and mentoring junior engineers

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 10+ years of software development experience with specific expertise in systems programming and Rust
• Extensive experience with async frameworks such as Tokio or async-std
• Proven track record of building resilient, observable, and horizontally scalable distributed systems
• Deep understanding of Linux fundamentals, including networking, namespaces, sockets, and kernel-user space interaction
• Proficiency in container-based environments, Git, CI/CD workflows, and performance instrumentation

What Will Make You Stand Out (Preferred Qualifications)

• Professional experience with systems languages like C/C++ or Go in performance-critical environments
• Familiarity with Linux networking stacks and kernel-space technologies like eBPF, XDP, or DPDK
• Hands-on experience with gRPC, Protobufs, and L2–L4 networking protocols including TCP/IP, UDP, and QUIC

#LI-Hybrid #LI-SU1

Role 

We are looking for a Sr Staff Software Development Engineer to join our Unified API platform team, based in Bangalore on a hybrid schedule and reporting to the Senior Manager Software Development Engineering. You will join an engineering powerhouse that built the world's largest cloud security platform from the ground up, supporting over 15 million users across 185 countries. This role invites you to bring your vision for cloud architecture and scalable services to a team dedicated to helping organizations harness speed and agility through a cloud-first strategy.

What you’ll do (Role Expectations)

• Delivering a unified API and developer platform for Zscaler products, focusing on standardization, governance, and a seamless developer experience
• Creating and refining API development and integration processes, tools, and methodologies across Zscaler's product portfolio
• Leading the creation of a scalable distributed API platform, ensuring it is highly available, observable, and operable

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing uncertainty not as a hindrance but as the raw material to build something meaningful.
• You act like an owner with a passion for the mission that fuels your bias for action, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact.
• You are a learner with a true growth mindset, actively seeking feedback to become a better partner and a stronger teammate.
• You are driven by innovation and have a deep curiosity for how things work, energized by solving complex technical challenges to accelerate transformation.

What We’re Looking for (Minimum Qualifications)

• Extensive experience in the architecture, design, and development of API frameworks and technologies, with 8+ years of experience
• Proven experience in creating SDKs and designing APIs
• Deep knowledge of API design standards, best practices, and API-first design principles
• Strong background in message brokers, caches, queues, and pub/sub concepts
• Proficiency in at least one programming language such as Go, Java, C++, Rust, or JavaScript

What Will Make You Stand Out (Preferred Qualifications)

• Demonstrated ability to collaborate with product managers on external-facing products and roadmap development
• Experience working dynamically with cross-functional teams to drive product innovation

#LI-Hybrid
#LI-VV3

We are one of the fastest growing startups in FinTech. We are a digital asset brokerage delivering best-in-class pricing and execution capabilities for institutional traders and investors. Our vision is to grow the digital asset ecosystem 1000X with industry-leading prime brokerage solutions. 

Who is on the team? 

We are entrepreneurs. More than half of us have experience founding a company. We come from leading institutions including Google, LinkedIn, JUMP, Citadel, Goldman Sachs, Harvard Business School, Carnegie Mellon, IIT + more. We are backed by some of the best investors in the world including Accel Partners, Flybridge Capital, Lightspeed Venture Partners. 

Impact 

At FalconX, you’ll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company’s trading strategies according to our core values - speed, transparency and trust. 

Role Overview

As a Quant Developer, you will build and scale the core systems powering our trading and risk infrastructure. This role sits at the critical intersection of quantitative research, trading, and high-performance engineering. You will be responsible for the architectural integrity of our derivatives pricing engines and execution systems, ensuring that complex mathematical models are translated into robust, production-grade code.

You will work directly with Traders and Quants to enable efficient pricing, execution, and real-time risk management across global markets.

What You’ll Do

• High-Performance Engineering: Design and implement low-latency systems for real-time trading and derivative pricing.

• Pricing & Analytics: Build and enhance pricing libraries for complex and exotic instruments, including volatility modeling and correlation structures.

• Execution Systems: Develop sophisticated execution algorithms and optimize order routing and the full trade lifecycle.

• Model Implementation: Collaborate with Quants to translate advanced mathematical models into scalable, numerically stable code.

• Risk & Attribution: Contribute to core risk systems, focusing on real-time metrics, PnL attribution, and complex scenario analysis.

• Data Infrastructure: Improve high-throughput data pipelines for large-scale market data and historical backtesting.

• Complex Problem Solving: Solve challenges across numerical methods, optimization, and distributed systems in a high-stakes environment.

What We’re Looking For

• Education: Degree in Computer Science, Mathematics, Physics, or a related quantitative field.

• Technical Stack: Expert-level Python skills; professional experience with a performance-critical language (C++, Rust, or Java) is highly preferred.

• CS Fundamentals: A deep understanding of data structures, algorithms, and high-performance system design.

• Quantitative Foundation: Solid grasp of probability, statistics, and numerical methods (e.g., Monte Carlo, Finite Difference).

• Domain Expertise: Practical familiarity with derivatives pricing (Options, Futures, Swaps) and financial market mechanics.

• Systems Experience: Proven ability to build distributed systems and data-intensive applications that handle high concurrency.

• Engineering Rigor: Ability to write clean, efficient, and production-quality code with a focus on testing and numerical accuracy.

• Soft Skills: A first-principles thinker and effective communicator who thrives in fast-paced, iterative trading environments.

Nice to Have

• Experience with exotic derivatives (correlation products, structured products).

• Exposure to advanced volatility modeling and market microstructure.

• Hands-on experience with numerical optimization and PDE solvers.

• Prior experience in Crypto, HFT, or low-latency trading environments.

• Familiarity with frontend tools (React) for building internal trading and risk dashboards.
  
  
  

About the Team & Role

The platform security team is responsible for building secure, scalable infrastructure and platform services that power Rubrik's enterprise data protection solutions. We are seeking talented software engineers who are passionate about cloud security, possess deep technical expertise in securing cloud infrastructure, and stay current with industry-leading security practices for cloud-native architectures.

As a Staff Software Engineer, you will design, develop, and maintain scalable and resilient frameworks and services for all cloud infrastructure supporting Rubrik products. This is an excellent opportunity for engineers who are passionate about cloud platform security and want to make a meaningful impact on how enterprise data protection operates in the cloud. You will get to work on cutting-edge cloud security infrastructure and frameworks that define the future of Rubrik's cloud platform roadmap. Along the way, you'll help solve problems such as:

• How to build extensible, secure frameworks for deploying cloud infrastructure?
• How to implement zero-trust networking principles in Kubernetes and cloud environments?
• How to build secure CI/CD pipelines and infrastructure-as-code with security guardrails?
• How to design secure service mesh architectures for microservices communication?
• How to implement secure secrets management and credential rotation at scale?
• How to build secure container orchestration with runtime security monitoring?

In addition to solving engineering problems like these, you will also collaborate with partner teams such as Product Management, SRE, DevOps, Infrastructure, and other engineering teams. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the cloud infrastructure stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance secure cloud platform solutions.

This is an excellent opportunity for those looking to build a secure cloud infrastructure from the ground up. The problem space is wide (covering the entire Rubrik cloud portfolio) and deep (from performant core infrastructure to secure service architectures), and has an exciting roadmap for the coming years with tangible business impact. You'll work alongside distinguished platform and security engineers who will mentor you as you grow your technical skills and cloud security domain knowledge.

What You'll Do:

Secure Cloud Platform Development:

• Collaborate with product managers, architects, SRE, and cross-functional teams to define security standards for cloud infrastructure, implement the frameworks, and drive the migration. 
• Take full ownership of projects from design to implementation, test and deployment of secure cloud infrastructure components
• Write clean, well-tested code in languages like Go, Python, or Scala for cloud infrastructure frameworks. 
• Implement security-first cloud platform features following established patterns and best practices
• Collaborate with senior engineers on secure system design and cloud architecture decisions.
• Triage platform security issues and debug/track/resolve them by analyzing the sources of issues and driving the resolution
• Demonstrate ownership and accountability for delivering secure, reliable platform services.
• Identify security vulnerabilities in cloud infrastructure and build solutions to harden platform services
• Create/Update highly effective documentation to enable other developers and platform teams

Cloud Security Architecture & Reviews:

• Review infrastructure-as-code, container configurations, and cloud architecture designs for security concerns
• Ensure secure cloud engineering standards are followed across the organization
• Contribute to cloud security guidelines and documentation for other engineering teams
• Evangelize secure cloud practices across all platform and engineering teams
• Perform threat modeling for cloud services and infrastructure components

Team Collaboration:

• Lead by example and demand high-quality, secure deliverables from others
• Work with Product Management and SRE to understand cloud platform security standards and requirements
• Collaborate with other engineering teams on integrations with secure frameworks for cloud infrastructure.
• Participate in team meetings, planning sessions, and knowledge sharing
• Coach and mentor junior team members for their professional growth in cloud security engineering

Learning & Growth Opportunities:

• Work closely with other staff and distinguished engineers who will mentor your development in cloud security
• Gain hands-on experience with cloud security services, container security, and infrastructure security
• Learn about cloud threat modeling and secure cloud architecture principles
• Participate in cloud security training and knowledge-sharing sessions
• Contribute to a positive, learning-focused team culture

What We're Looking For

Required Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
• 10+ years of software development experience with a focus on cloud platforms and infrastructure
• Strong experience with cloud platforms (AWS, Azure, GCP), including security services and best practices
• Deep understanding of cloud security principles, container security, and infrastructure security
• Proficiency in infrastructure-as-code tools (e.g., Terraform)
• Experience with container orchestration platforms (Kubernetes, Docker) and their security models
• Strong programming skills in at least one language (Go, Python, Java, Rust, or similar)
• Experience with cloud-native security tools and practices (service mesh, zero-trust networking, secrets management)
• Understanding of networking security concepts (VPCs, security groups, network policies, TLS/mTLS)
• Experience with version control systems (Git) and collaborative development
• Passion for cloud security engineering - genuine interest in building secure cloud infrastructure
• Proactive mindset - takes initiative to learn new cloud technologies and solve complex infrastructure problems independently

Preferred Qualifications:

• Experience with service mesh technologies (Istio, Linkerd, Consul Connect)
• Hands-on experience with cloud security services (AWS IAM/KMS/GuardDuty, Azure Key Vault/Defender, GCP IAM/KMS)
• Experience with secure CI/CD pipelines and DevSecOps practices
• Familiarity with compliance frameworks (SOC2, FedRAMP, GDPR) and their cloud implementation
• Experience with monitoring and observability tools for cloud security (Prometheus, Grafana, cloud-native monitoring)
• Knowledge of cryptographic protocols and their implementation in cloud environments
• Experience with infrastructure security scanning and vulnerability management
• Understanding of microservices security patterns and API security
• Experience with cloud cost optimization and resource management

Why Join Us?

Perfect Growth Opportunity in Cloud Security Engineering

• Sharpen your cloud security skills by tackling challenging and real-world problems and collaborating with experienced mentors
• Work on meaningful projects that secure enterprise customers' critical data in the cloud
• Gain exposure to cutting-edge cloud security technologies and industry best practices
• Build a strong foundation for a career in cloud platform or security engineering
• Move your career forward with opportunities to specialize in cloud security and leading platform teams

Technical Learning Opportunities

• Hands-on experience with modern cloud security technologies and frameworks
• Exposure to large-scale distributed cloud systems and multi-cloud platforms
• Opportunity to contribute to open-source cloud security and platform projects
• Access to the latest cloud development tools and security research

What Makes a Great Candidate

• Loves to learn - excited about diving into new cloud technologies and security concepts
• Takes initiative - doesn't wait to be told what to do, asks questions, and seeks out learning opportunities in cloud security
• Thinks systematically - can analyze complex cloud infrastructure problems and think through potential security implications
• Collaborates well - enjoys working with others and learning from teammates across platforms and security domains
• Pays attention to detail - understands that small details matter in cloud security and infrastructure reliability
• Is passionate about cloud security - genuinely interested in building secure cloud infrastructure and protecting customer data

About the Role

We are looking for an experienced Staff Software Engineers to join the Veeam Data Cloud (VDC) engineering team. You will be working with a global team to build next-generation data protection services focused on ensuring data resilience for our customers. This is a unique opportunity to work on greenfield projects, building features from the ground up that will be deployed and utilized worldwide

What You'll Do

• Defines and drives technical vision for multiple areas within their team. Leads cross-team deliverables. 
• Design and develop highly reliable and scalable SaaS microservices, integrated with a variety of cloud-based managed services utilizing Golang 
• Participate in technical design discussions, reviewing code, and providing feedback to other engineers. Solves hardest, most ambiguous team wide challenges. Develops frameworks for others to follow.  
• Drives team deliverables in a timely and predictable fashion. Sets execution standards across the team. Ensure your code is high-quality, thoroughly tested, and secure 
• Facilitates effective collaboration and organizes across the engineering organization, drives discussions toward a resolution or action. Helps others across organization understand their team’s technology. 
• Participate in on-call rotation for product operations. 

What You'll Bring

• 10+ years of experience in the software development industry
• Demonstrated expertise designing, building, and implementing SaaS or large-scale cloud services on Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
• Expertise with a modern programming language like Go, C#, Java, Scala, or Rust
• Experience with Docker, Kubernetes or other container and orchestration tools
• Experience designing and implementing event-driven architectures
• Expertise in developing, testing, and debugging production-quality, scalable, concurrent systems
• A strong knowledge of computer science fundamentals (data structures and algorithms)
• Passion for code quality, extensibility, coding standards, testing, and automation

Bonus Skills

• Experience in the data protection industry

What You'll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.

About the Role

We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.

This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.

What You’ll Do

• Technical Strategy & Architecture

  • Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
  • Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
  • Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
  • Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.

  Engineering Execution & Excellence

  • Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
  • Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
  • Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
  • Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.

  Organizational Leadership & Influence

  • Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
  • Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
  • Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
  • Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.

  Mentorship & Talent Development

  • Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
  • Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
  • Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.

  Operational Ownership

  • Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
  • Own post-incident reviews and embed learnings into platform improvements and operational runbooks.

What You’ll Bring

• 15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
• Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
• Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
• Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
• Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
• Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
• Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
• A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.

Bonus Skills

• Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity. 
• Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
• Background in data protection, backup, disaster recovery, or storage infrastructure.
• Experience in platform or infrastructure engineering serving other engineering teams as internal customers.

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application. 

#LI-KP1

About the Job:

The Warehouse Integrations team at Launchdarkly builds the infrastructure that lets LaunchDarkly customers connect their enterprise data warehouses to unlock advanced capabilities like warehouse-native experimentation and real-time metrics.

As a Senior Backend Engineer, you'll be a key architect for scaling this platform and expanding our warehouse integrations footprint. You'll lead the design and implementation of core infrastructure - from integration connectors and data export pipelines to health checks and operational monitoring, while mentoring engineers and setting technical direction for the team.

This is a critical role in LaunchDarkly's strategy to meet customers where their data lives and enable data-driven feature experimentation at scale.

Responsibilities:

• Architect and design scalable warehouse integration infrastructure that enables LaunchDarkly to support multiple enterprise data warehouse platforms and add new integrations systematically.

• Build and own core backend services and APIs that power warehouse connectivity, including data export pipelines, health checks, authentication flows, and operational monitoring.

• Drive technical excellence by establishing design patterns, frameworks, and best practices for warehouse integrations that the team uses as they scale.

• Partner with cross-functional teams to define integration roadmaps, resolve technical blockers, and ensure warehouse-native features are delivered reliably.

• Lead technical design reviews and author tech specs for complex, cross-cutting integration work, and setting standards for implementation.

• Mentor and support backend engineers on the team through code reviews, design discussions, and regular guidance, fostering strong fundamentals and ownership mindset.

• Communicate effectively across technical and non-technical audiences, articulating complex system decisions, trade-offs, and progress to stakeholders, engineers, and peers.

• Improve reliability and operational maturity of warehouse integrations through observability, monitoring, load testing, and production incident response.

• Actively participate in on-call rotation to support production systems, diagnose issues in distributed environments, and implement lasting fixes.

Qualifications:

• 8+ years of professional backend software engineering experience, with a demonstrated track record of designing and shipping scalable, production-grade systems in complex domains

• Proven expertise in distributed systems design and implementation, including experience with topics such as consistency models, replication, consensus, and failure handling in large-scale environments

• Strong programming proficiency in Go, Java, Rust, or C++ with the ability to ramp up quickly on new technologies and languages

• Solid understanding of domain modeling and system design principles, particularly for building reusable abstractions, internal frameworks, and integration infrastructure

• Hands-on experience designing and building scalable APIs that support both internal tooling and customer-facing integrations

• Proficiency with observability best practices including metrics, structured logging, distributed tracing, and alerting, with experience diagnosing complex production issues in distributed systems

• Familiarity with modern data warehouse and analytics platforms, including understanding of data models, query optimization, and integration patterns is a bonus

• Experience with Infrastructure-as-Code tools (Terraform, CloudFormation, or equivalent) for managing cloud infrastructure at scale

• Strong commitment to software quality including automated testing (unit, integration, load tests), code reviews, and architectural decision documentation

• Excellent communication skills in technical discussions, design reviews, and cross-functional collaboration with product, data, and frontend teams

• Demonstrated ability to mentor and develop other engineers, fostering technical growth and establishing engineering standards

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com. 

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

SRETools - Software Developer 5-7yrs

About PhonePe : Our goal is to make digital payments so easy, safe and universally accepted that people never feel the need to carry cash or cards again. We believe India is at the cusp of a new mobile revolution, which will change the way we manage our money on the go. We see ourselves facilitating this change, through technology and dogged customer centricity.,At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one.Being enthusiastic about tech is a big part of being at PhonePe.,If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!

Objectives of this Role

• Acquire product requirements and designing an optimal solution, by working with stakeholders across domains
• Develop and maintain in-house cloud architecture components, including components that deal with procurement, provisioning, patching, migration and retirement of instances
• Own the implemented solutions end-to-end, right from inception to deployment and monitoring to regular upkeep
• Identify infrastructure wide, company wide problems and provide a scalable solution
• Measure and increase compliance of solutions 
• Bring a DevOps mindset to implementations 

Skills and Qualifications

• 5+ years experience in IT
• Experience with or knowledge of operating systems; current technologies
• Proficient in at least two of these languages: Python/Go/Rust/C. 
• Good in networking fundamentals/systems knowledge, exposure to open source technologies 
• Good in data structures/algorithms
• Awareness of cloud technologies, Mesos, KVM/QEMU, NodeJS/React will be good to have

• Joining a team that owns several critical areas, including DNS, load balancing, and multiple proprietary software-defined networking applications
• Developing software features and tooling to support organizational objectives such as automation of infrastructure provisioning and configuration, improving resiliency and self-healing, and enhancing observability
• Participating in an on-call rotation to organize responses to production incidents
• Implementing observability measures including monitoring, alerting, and dashboards for critical infrastructure and software deployments
• Facilitating onboarding of internal customers to the team’s offered solutions
• Creating documentation and runbooks for components owned by PE
• Conducting non-functional testing to validate infrastructure and software performance and resiliency requirements

• 2+ years of experience working in a Dev, Ops, DevOps, SRE or similar role
• Working knowledge of networking fundamentals
• History of leveraging AI to amplify your skills and scale your efforts
• Strong command of Linux CLI tools (mtr, ping, ip, netcat, dig, tcpdump)  and Linux-based tech stacks
• Excellent written and verbal communication skills
• Excellent Python, Rust or Golang programming skills
• Expertise in one or more of the following - observability implementation, incident response, DNS, load balancing, networking
• Experience with configuration management and infrastructure as code using ansible, salt, terraform or similar tools is preferred but not required.

• BSCS or equivalent required, MSCS or equivalent strongly preferred

#LI-RS1

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases.

Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases. 

Headquartered in Mountain View, California, with offices in London, Bangalore, and Tel Aviv. Aerospike is the uncontested leader in next-generation, always-on, hyperscale data solutions. Unlike legacy NoSQL systems, our patented Hybrid Memory Architecture unlocks today’s hardware to deliver unimaginable performance and value for the most demanding data workloads—from the edge to the core, to the cloud.

As a Senior Software Engineer at Aerospike, you will play a pivotal role in advancing our high-performance, low-latency platform by developing core systems software with a strong emphasis on performance, reliability, and efficiency. Experience with kernel modules or filesystems is a plus, though not a core focus of this role. You will collaborate with project managers, performance engineers, and quality engineers to align development with business needs and ensure quality.

This is a hybrid role.Employees are expected to work from the Bangalore office 2-3 times a week.

Responsibilities

• Design and implement systems-level software, especially in areas related to networking, low-level I/O, and hardware interfaces.
• Develop high-performance, low-latency code for interacting with storage and network hardware.
• Debug and optimize OS-level issues across Linux-based environments.
• Ensure system quality through rigorous testing and benchmarking.
• Work with storage hardware to optimize performance.

Minimum Qualifications

• Fluent in C or C++ with deep understanding of low-level programming and memory management.
• Strong understanding of OS internals – threading, concurrency, memory management, and I/O subsystems.
• 5-8 years of experience in systems-level software development, such as databases, networking, kernel, drivers, RTOS, embedded, or firmware.
• Experience shipping and deploying performance-critical systems in production environments.
• Proficiency in at least one other language: C#, Go, Java, Python, Rust, etc.
• Self-motivated problem solver – you know when to execute, when to ask for help, and how to drive projects to completion.

Preferred Qualifications

• Experience with large distributed systems software internals, such as Lustre or Ceph.
• Knowledge of the CAP theorem and/or distributed consensus protocols (Paxos, Raft, etc.).
• Familiarity with low-level performance optimization techniques for high-throughput data processing.
• Knowledge of ACID, consistency models and indexing techniques.
• Experience with filesystems or Linux kernel development or tuning.
• Familiarity with PCIe, NVMe, DMA, RDMA, epoll, io_uring, or other low-level interfaces.

Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

About the Role

We’re looking for a Staff Engineer – Core Platform to architect, scale, and evolve the distributed systems foundation that powers Interface.ai’s next-generation AI experiences.

This is a hands-on, high-impact engineering role — you will design and build core platform components that enable real-time AI interactions, secure orchestration, and low-latency execution across millions of concurrent user sessions.

The ideal candidate is a systems thinker who thrives on solving large-scale engineering challenges in distributed, event-driven environments — someone who obsesses over performance, reliability, and elegant architecture, and who elevates the technical bar for the entire organization.

What You’ll Own

As a Staff Engineer, you will be the technical backbone for the Core Platform team — defining architecture, mentoring teams, and ensuring engineering excellence across all systems.
You’ll focus on:

• Designing and scaling low-latency, fault-tolerant distributed systems serving real-time workloads.
  
  
• Architecting microservices and event-driven systems that are secure, composable, and resilient under scale.
  
  
• Integrating Vector Databases and Embedding Stores to support intelligent retrieval, RAG (Retrieval-Augmented Generation), and adaptive AI experiences.
  
  
• Partnering with AI and Product teams to embed LLMs and inference services into the Core Platform, ensuring performance and observability.
  
  
• Defining technical standards, best practices, and evolutionary architecture patterns across teams.
  
  
• Driving continuous improvement in code quality, observability, and deployment reliability.
  
  
• Acting as a technical mentor and multiplier — raising the bar for system design, code reviews, and debugging excellence.
  
  

What You’ll Do

• Architect and Build Distributed Systems: Design microservice-based architectures that enable scalability, low latency, and fault isolation for AI-driven features.
  
  
• Optimize System Performance: Own performance at the platform level — from network I/O and API design to database indexing and caching strategies.
  
  
• Enable AI Integrations: Work closely with LLM engineers to design APIs and data pipelines supporting RAG, embeddings, and model-inference use cases.
  
  
• Design Resilient Data Infrastructure: Implement streaming and async systems (Kafka, Pulsar, or similar) to handle high-volume event traffic.
  
  
• Drive Engineering Quality: Establish patterns for clean code, contracts, testing, and documentation. Lead architecture and code reviews across pods.
  
  
• Mentor and Coach: Elevate senior engineers through structured mentorship, design walkthroughs, and technical guidance.
  
  
• Champion Evolutionary Architecture: Build for change — advocate for modular, observable, and testable systems that can evolve with business needs.
  
  
• Improve Platform Resilience: Implement retry, backoff, rate-limiting, and circuit-breaker patterns to ensure uptime and reliability at scale.
  
  
• Collaborate Cross-Functionally: Work with AI, data, DevOps, and product teams to define shared contracts, SLAs, and infrastructure standards.
  
  

What We’re Looking For

Required Qualifications

• Experience: 8+ years of experience in backend or platform engineering, including 2+ years in high-scale B2C or distributed systems environments.
  
  
• Distributed Systems Mastery: Deep understanding of scalability, consistency, concurrency control, and fault tolerance.
  
  
• Low-Latency Systems Expertise: Proven track record designing systems with strict SLA and sub-second response times.
  
  
• Microservices Architecture: Strong experience building, deploying, and maintaining service-oriented architectures with APIs, event streams, and async messaging.
  
  
• Vector DBs & Embeddings: Hands-on experience with Weaviate, Pinecone, Qdrant, FAISS, or similar; strong grasp of RAG patterns and semantic retrieval.
  
  
• Programming Proficiency: Expertise in Go, Rust, Java, or Python, and familiarity with modern frameworks (gRPC, GraphQL, REST).
  
  
• Data Layer Knowledge: Solid understanding of SQL/NoSQL databases (PostgreSQL, Cassandra, DynamoDB) and caching systems (Redis, Memcached).
  
  
• Resilience & Observability: Experience designing with telemetry, distributed tracing, chaos testing, and monitoring (Prometheus, OpenTelemetry).
  
  
• Engineering Quality Mindset: Passion for clean code, automated testing, CI/CD, and maintainability.
  
  
• Bar-Raising Leadership: Experience mentoring teams, enforcing code quality standards, and elevating design practices.
  
  

Preferred Qualifications

• Experience building or scaling real-time personalization or recommendation systems.
  
  
• Prior exposure to LLM serving, RAG pipelines, and LLMOps frameworks.
  
  
• Familiarity with Kafka, Flink, or Beam for data streaming.
  
  
• Contributions to open-source projects in distributed systems or AI tooling.
  
  
• Deep understanding of cloud-native architectures (Kubernetes, Istio, Terraform).
  
  

What Makes This Role Special

• You’ll define and scale the core technical foundation for AI systems serving millions of users.
  
  
• You’ll collaborate with world-class engineers across AI, platform, and product to deliver real-time, intelligent experiences.
  
  
• You’ll raise the engineering bar — shaping how code is written, reviewed, and deployed across teams.
  
  
• You’ll lead by example: mentoring senior engineers while remaining hands-on in architecture, design, and implementation.
  
  
• You’ll be part of an organization where AI-first thinking, evolutionary architecture, and engineering craftsmanship are core values.
  
  
  #LI-Remote
  #LI-SS1

Role: Principal Architect 

Reports to: Global Head of Technology (SVP Engineering)
Location: Bengaluru (hybrid)
Function: Platform & Product Architecture (Cloud-Native Data/SaaS)

About Reltio

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has 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. If you’re ready to work on unrivaled 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!

Job overview

Reltio is scaling a cloud-native, multi-tenant data platform used by global enterprises. We need a Principal Architect to set the end-to-end architecture vision, de-risk the roadmap, and turn strategy into secure, reliable, cost-efficient systems—while upleveling the engineering organization.

• Enterprise & Product Architecture: Define the north-star architecture for a multi-tenant SaaS data platform (ingest → processing → storage → query → API/SDK/UX). Establish reference architectures, decision records, and standards.
• Cloud-Native Platform: Drive container orchestration, service mesh, control planes, observability, and resilience across AWS/Azure/GCP.
• Data & Streaming: Lead designs for high-volume streaming, low-latency query, and analytical/ML use cases (batch + real-time).
• AI/ML & Agentic AI: Partner with product and security to embed responsible LLM/agentic patterns (guardrails, retrieval, evals) into customer-facing and internal developer workflows.
• Reliability, Security & Compliance: Champion SRE/SOC2/ISO/GDPR-by-design, error budgets, threat modeling, and secure SDLC.
• Developer Experience: Improve CI/CD, test strategy, paved roads, and golden paths; reduce cognitive load and toil across teams.
• Executive & Customer Influence: Translate architecture trade-offs for executives and key customers; guide buy-build-integrate decisions.

Key Responsibilities 

Set the vision: Author and socialize the product/platform architecture strategy; maintain ADRs and tech radars.

• Design at scale: Lead designs for multi-tenant isolation, data models, schemas, indexing/OLAP, and event-driven systems.
• Evolve the platform: Standardize service meshes, API gateways, policy-as-code, and multi-cloud deployment patterns.
• Operational excellence: Embed SRE practices (SLOs, error budgets, incident learning), capacity planning, and chaos testing.
• Security & privacy: Lead threat models, data classification, encryption, secrets, key management, and SBOM/SLSA controls.
• AI architecture: Define patterns for RAG/agents, prompt & model governance, telemetry, evaluations, and fallbacks.
• Mentor & scale: Coach Staff/Principal engineers and architects; chair architecture reviews; build a healthy review culture.
• Executive partnering: Communicate options/trade-offs to C-suite; align decisions with business value and customer impact.
• Customer evangelism: Join key enterprise conversations; convert requirements into pragmatic designs and phased delivery.

Qualifications

• 20+ years in product/platform architecture for large-scale, cloud-native SaaS; recent Principal/Distinguished Architect scope leading end-to-end product decisions and migrations across multi-cloud.
• Cloud & Kubernetes depth: EKS/AKS/GKE; service mesh (Istio/Linkerd), observability (Prometheus/Grafana), platform control planes, operators/CRDs. Able to define golden paths/paved roads for teams.
• Data platform & streaming expertise: Kafka/Flink/Spark; columnar/OLAP (Druid, ClickHouse), NoSQL (Cassandra), search (Elasticsearch/Opensearch); real-time + batch patterns.
• Microservices & integration at enterprise scale: API gateways, event-driven design, SOA/EAI (Apache Camel/Mule/WSO2/JBoss Fuse).
• AI/ML & Agentic AI in production: ML pipelines (MLflow/Kubeflow/Airflow) and LLM/agent frameworks (OpenAI APIs, LLaMA, LangChain/LangGraph; tool-use, memory, evals).
• Security, privacy, and compliance by design: threat modeling, data classification, encryption/keys, and EU GDPR awareness through real product work.
• Executive communication & customer leadership: converts complex trade-offs into simple choices; partners with CXO/stakeholders globally; architecture evangelism with customers.
• C-suite influence & decision facilitation: runs architecture reviews/SteerCos with crisp options, risk/ROI framing, and written decision records; pre-wires global stakeholders to land decisions quickly.
• Customer-back product thinking: meets enterprises regularly, translates requirements into phased designs (MVP → scale), and defends non-negotiables (SLOs, security, privacy).
• Cross-geo orchestration: proven delivery across US/EU/India time zones; builds async rituals, documentation standards, and handoff mechanisms that raise velocity and quality.
• Culture carrier & coaching: uplevels Staff/Principal engineers, codifies paved roads (CI/CD, testing, observability), and scales architectural patterns via ADRs/radars. 

Preferred Qualifications

• Multi-cloud platform stewardship: proven ownership of cross-cloud platforms (e.g., control planes, observability, incident management) and data lake stacks, shipped to enterprise customers.
• Cost/performance engineering: track record reducing infra cost per tenant and improving p95/p99 latency/MTTR via capacity planning, workload placement, and autoscaling patterns.
• Programming fluency: Java/Scala/Python/Go/Rust for credible code-review and reference implementations.
• OSS & ecosystem contribution: prior contributions to relevant frameworks (e.g., Hadoop tuning, NoSQL ORM, Camel/Keycloak) a plus. 

About Enterpret

Enterpret is at the forefront of AI-native applications, unlocking the power of customer feedback for businesses. We centralize feedback from every channel and transform it into actionable insights that drive customer-centric decisions for teams at the world's leading companies like Perplexity, Notion, Canva, and Figma. Backed by investors such as Kleiner Perkins and Peak XV, we're redefining how businesses understand and act on the voice of their customers.

About the Role

As LLMOps Architect at Enterpret, you'll be responsible for how LLM models are fine-tuned, how prompts are managed, how we run evals, how we optimize for cost, and how we optimize for speed—both at the experimentation stage and in production. This is a foundational, high-ownership role where you'll work directly with the OpenAI and Anthropic teams (whom we partner with closely), as well as AWS (whom we partner with closely), to build world-class ML infrastructure.

You'll work closely with ML researchers, backend engineers, and product teams to ensure our AI systems are resilient, secure, and cost-efficient as we grow 10x. Key success metrics include improving the speed of experimentation, time to productionization, and the quality of models. You'll report directly to the CTO.

What You'll Do

• Design and evolve Enterpret's ML platform for training, serving, and retraining our encoders and LLM models using AWS/Terraform/OpenAI/Anthropic.

• Build CI/CD pipelines tailored for ML—including model versioning, testing, canary releases, rollbacks, and gated production deploys.

• Deploy and manage model serving systems for both real-time inference (e.g., tagging support tickets on the fly) and batch pipelines (e.g., analyzing historical product feedback).

• Set up observability for model performance and data drift—using Braintrust and custom alerts to catch issues before they affect customers.

• Lead incident response, root cause analysis, and postmortems for ML systems—ensuring uptime for insights that product teams rely on, alongside governance and security.

• Track and optimize cloud usage for ML workflows, making model delivery cost-aware and aligned with product usage.

• Implement governance and security across the stack—owning IAM, data access, auditability, and model explainability where needed.

• Partner with ML and product teams to productionize GenAI and AI models powering our Knowledge Graph and Adaptive Taxonomy engine, tackling problems on retrieval, encoder LLM fine-tuning, and reinforcement learning.

• Evaluate tools for model registry, feature stores, and orchestration—and build where needed to keep the feedback loop fast.

• Champion best practices in MLOps across the org—mentoring engineers and setting scalable foundations for the future.

• Act as a coach to our team of researchers who are transitioning into engineering, helping them self-serve their capabilities and self-service these tools rather than doing it yourself.

What It Takes

• A minimum of 6 years' experience in MLOps and ML infrastructure, ideally with exposure to designing, deploying, and scaling machine learning systems in fast-paced, product-driven environments such as startups or high-growth companies.

• Deep expertise with AWS (SageMaker, EC2, EKS, S3, IAM), infrastructure-as-code (Terraform), and container orchestration (Docker, Kubernetes).

• Strong Python skills, with bonus points for Go, Bash, or Rust scripting where appropriate.

• Hands-on experience with CI/CD systems like GitHub Actions, ArgoCD, or Jenkins—especially for ML model delivery.

• Proven ability to monitor and maintain production ML systems, including model drift, latency, uptime, and alerting.

• Comfort with cloud cost optimization, resource provisioning, and auto-scaling for ML-heavy environments.

• Familiarity with model serving stacks and experimentation tools (MLflow, Langsmith, etc.).

• Bonus: exposure to GenAI workflows (LangChain, vector DBs, RAG), encoder/LLM model tuning, reinforcement learning, or responsible AI practices.

• Track record of mentoring, collaborating across functions, and taking full ownership of systems in production.

• You hate repeated manual work and have a strong drive to automate everything.

• Proficiency with AI coding agents like Claude and Cursor to work multiple times more effectively than normal.

Why Enterpret

• ML at the Core: You won't be supporting ML—you'll be enabling the core product.

• High Impact, Early Ownership: Define our MLOps foundation, influence every model's path to production, and shape how product teams experience insights.

• Work With Sharp People: Collaborate with researchers, engineers, and product builders solving complex problems every week.

• Focused, Fast Environment: No heavy process—just smart, principled builders shipping high-quality infrastructure.

• Comp + Culture: Competitive salary, meaningful equity, full-stack healthcare, generous leave, and a team-first culture built on trust and ownership.

What We Value

At Enterpret, we operate with a deep sense of ownership — we play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better.

Equal Opportunities

We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified.