About Us:

Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!

Responsibilities:

• Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
• Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
• Collaborate with business and management functions to develop and execute the product roadmap.
• Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
• Participate in on-call rotation.
• Contribute to improvements in the software development lifecycle for increased velocity and quality.

Required Skills:

• 7+ years of development experience in C/C++ and Rust.
• Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
• Solid experience with cloud platforms (GCP, AWS).
• Proficiency with live and post-mortem debugging tools.
• Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
• Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
• You are autonomous, take initiative, and act on it.
• You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
• You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.

This Saucer can be found globally.  We believe in the power of in-person collaboration to build strong relationships and drive innovation. To support this, our office models are tailored by region:

• Poland, Berlin, and the US: We operate on a hybrid basis, offering flexibility alongside collaboration with in-office days as required.
• India: We operate in-office 5 days a week to maximize team synergy and real-time collaboration and mentorship.

Regardless of location, Saucers living near an office are expected to be present and engaged with their local teams.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

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

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

#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

The Role

The Senior Software Engineer (Rust) - Proxy Services will own the conversion of Securly's web filtering proxy business logic from C++ to production Rust — maintaining behavioral parity across a high-throughput proxy that handles HTTP/HTTPS traffic for millions of students daily.

A modern, memory-safe Rust proxy is already underway at Securly. When you join, the initial Rust proxy is in production and your mission is the next phase: integrating and converting the existing C++ business logic into production Rust. This means reading C++, reasoning about behavior, and re-implementing it correctly — including HTTPS tunneling, TLS interception, JavaScript injection into HTML responses (the ACP-48 shim pattern), and Redis-based policy lookups. Precision and behavioral correctness are non-negotiable.

At L5, you are not just a skilled implementer. You own the conversion strategy, define the phasing and testing approach, surface architectural risks to the L6 lead, and raise the Rust competency of the broader proxy team.

What You'll Do

• Own the C++ to Rust conversion strategy: define the porting sequence, identify behavioral risks, and establish the testing approach that gives confidence in parity before cutover.
• Read, debug, and deeply understand existing C++ proxy business logic, then port it to production Rust with full behavioral parity.
• Build and maintain forward proxy operations: HTTPS CONNECT tunneling, TLS interception, HTTP/1.1 and HTTP/2, header manipulation, connection pooling.
• Implement JavaScript content script injection into HTML responses (ACP-48 shim pattern) — enabling proxy-side injection for customers not served by the Chrome extension.
• Integrate Redis-based real-time policy lookups; handle Redis failure modes gracefully; document degraded-mode behavior and validate it under load.
• Profile and benchmark proxy performance under high-concurrency load; use flame graphs to validate changes; maintain a written performance baseline document.
• Identify gaps in the existing C++ codebase where behavior is unclear or likely incorrect — treating the port as an opportunity to improve, not just replicate.
• Mentor junior Rust engineers on ownership models, async patterns, and systems-level debugging.
• Collaborate closely with the Proxy Hardening engineer on shared infrastructure and production issues.

Skills & Requirements

Who You Are

• You are the engineer who reads crash dumps for fun. Memory safety, ownership models, and undefined behavior are topics you have strong opinions about.
• You have ported or rewritten production systems before and understand that behavioral parity is significantly harder than it appears.
• You can navigate a large legacy C++ codebase without documentation. You treat it as archaeology, not an obstacle.
• You take correctness seriously — you do not ship a port until you are confident it behaves identically to what it replaced, and you have the test coverage to prove it.
• You define the plan, not just execute it. You produce written conversion strategies, risk registers, and performance baseline documents.
• You make other engineers better. You are sought out for Rust code reviews and junior engineers ship better code after working with you.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

About Securly

Benefits

The Role

The Senior Software Engineer (Rust) - Proxy Infrastructure will own production hardening, performance validation, and infrastructure operations for Securly's Rust web filtering proxy — establishing the reliability and scalability baseline that millions of students depend on, and owning the on-premise Docker proxy appliance for school network environments.

Your mission is to ensure the proxy performs, scales, and deploys reliably in production. You will own canary rollout configuration, CloudFormation-based scaling infrastructure, load testing strategy, and performance baseline definition. You will also own the on-premise Docker appliance — a lightweight Rust proxy deployed in school network environments that intercepts TCP traffic and prepends identity headers.

At L5, this is not purely an infra-execution role. You are expected to identify systemic reliability risks in the proxy stack and propose architectural mitigations, not just react to incidents. You define what 'production-ready' means and enforce that bar.

What You'll Do

• Define what 'production-ready' means for the Rust proxy: establish written performance baselines, reliability criteria, and the specific metrics that trigger a rollback vs. a hotfix.
• Design and execute load tests to identify performance bottlenecks; profile memory and CPU under peak and sustained load; produce baseline documents the team references across deployments.
• Own canary rollout configuration and CloudFormation-based ASG scaling policies — modify templates, configure health checks, tune scaling behavior; document every configuration decision with rationale.
• Identify and propose mitigations for known proxy infrastructure risk areas including Redis behavior under peak throughput, CORS/proxy transparency edge cases, and connection pool exhaustion.
• Maintain and harden the on-premise Docker proxy appliance — image builds, container networking, minimal image design, and distribution to school network environments.
• Investigate and resolve production performance issues under peak load; produce written post-mortems that close the loop on root cause.
• Build monitoring, dashboards, and alerting for proxy infrastructure (CloudWatch, Splunk); define SLO targets and ensure alerting is calibrated to them.
• Contribute to C++ to Rust business logic conversion work alongside the Proxy Conversion engineer.
• Support TCP stream handling and socket-level work for the on-premise appliance: bidirectional forwarding, port interception, identity header injection.

Skills & Requirements

Who You Are

• You take performance personally — you do not accept 'probably fast enough.' You profile, you measure, you prove it — and then you write it down.
• You have owned production infrastructure and understand that canary rollouts, health checks, and scaling policies are not afterthoughts — they are the job.
• You are comfortable in the systems layer: TCP streams, socket programming, and container networking are familiar territory.
• You identify systemic risks before they become incidents. You advocate for reliability improvements over tactical fixes.
• You produce written artifacts — post-mortems, baseline documents, SLO definitions — that outlast any individual incident or sprint.
• You operate well in an environment where production stability is a shared responsibility and on-call is part of the role.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

About Securly

Benefits

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.
  
  
  

What are we looking for?

SentinelOne is seeking a Software Engineer to join the Observo AI team in India, our cutting-edge AI-driven data pipeline optimization platform. This role will be responsible for developing and maintaining high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers.

We're looking for someone who errs on the side of simplicity, who has a passion for craftsmanship in code, and who believes deeply in the value of testing. You should be the kind of engineer who writes tests even when nobody is watching—because you understand that quality matters. We value engineers who enjoy performance tuning, extracting the last ounce of efficiency from systems, and who are excited about working with databases, distributed systems, and open source technologies.

This role is part of the Observo AI engineering organization and offers the opportunity to work on innovative technology that directly impacts enterprise data management at scale. This is a hybrid role with 3 days in our Bengaluru office.

What Will You Do?

• Develop and maintain scalable data processing pipelines that handle large volumes of telemetry data (logs, metrics, traces)
• Build and enhance ML-driven data routing, filtering, and transformation components to optimize customer data volumes while preserving critical insights
• Implement real-time analytics and monitoring features using modern software engineering practices
• Work with cloud-native microservices and APIs that integrate with major observability platforms (Splunk, Elastic, Datadog, New Relic)
• Contribute to monitoring, alerting, and observability solutions for distributed systems
• Write comprehensive tests for all code changes, ensuring reliability and maintainability
• Participate in code reviews, pair programming, and collaborative development practices
• Collaborate with senior engineers, Product, and DevOps teams to deliver customer-focused solutions
• Conduct performance and scale testing to optimize system efficiency
• Learn and apply emerging technologies in AI/ML, data engineering, and observability
• Contribute to technical documentation and knowledge sharing within the team

What Skills and Knowledge Should You Bring?

• 3+ years of software engineering experience with focus on backend development, distributed systems, or data processing
• Demonstrated commitment to code quality and testing practices throughout your career
• Experience that shows you care about the craft of software engineering
• Strong proficiency in Go, Java, Python, or similar programming languages with understanding of software engineering best practices
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
• Familiarity with data processing frameworks such as Apache Kafka, Apache Spark, or streaming technologies
• Basic understanding of database technologies including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems
• Understanding of data formats and protocols commonly used in enterprise systems (JSON, REST APIs, message queues)
• Experience with version control systems (Git) and CI/CD practices
• Strong belief in testing—you write tests even when you have the freedom to skip them
• Bias toward simplicity and maintainability in software design
• Interest in performance and scale testing; you enjoy tuning systems for maximum efficiency
• Passion for craftsmanship in code quality and attention to detail
• Commitment to continuous learning and improvement
• Good communication skills with ability to collaborate effectively in a team environment
• Experience with or interest in pair programming and extreme programming practices
• Fluency in English with good written and verbal communication skills
• Eagerness to learn from senior engineers and contribute to team success
• Bachelor's degree in Computer Science, Engineering, or related field from a recognized institution
• Exposure to functional programming languages (Haskell, Scala, Elixir, OCaml, F#)
• Exposure to systems programming languages (Rust, C++, C)
• Contributor to open source projects, particularly in databases, distributed systems, or observability
• Experience with machine learning concepts and frameworks (TensorFlow, PyTorch, scikit-learn)
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, or ELK stack
• Personal projects demonstrating passion for databases, distributed systems, or performance optimization

Why Us? 

You will be joining a cutting-edge company, where you will tackle extraordinary challenges and work with the very best in the industry

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.
• Udemy Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Sodexo food coupons.

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

The LRT group is responsible for the language layer and relational execution engine powering YugabyteDB. We care deeply about correctness, performance, and usability of the system we are building. We are always looking for innovative solutions to these challenges, be it from other industry applications, academic research or original contributions, as our team’s work powers a broad range of components. The team's work areas include query planning and optimization, consistent online schema changes, as well as a broad set of SQL features including stored procedures, triggers, geo-partitioned tables, or GIN indexes for text search.

• Lead the design, implementation, and evolution of the distributed SQL query execution engine in YugabyteDB, ensuring correctness, efficiency, and horizontal scalability.
• Own and enhance execution-layer components including distributed scans, joins, aggregations, sorting, batching, parallel execution, RPC coordination, and runtime memory management.
• Optimize distributed execution paths by minimizing cross-node communication, reducing data movement, improving pushdown to storage layer, and enhancing execution pipelining.
• Improve runtime observability by enhancing execution metrics, tracing, profiling, and debugging capabilities to support production-grade workloads.
• Mentor engineers on distributed systems design principles, execution-engine architecture, and performance engineering best practices.
• Write high-quality C/C++ code with comprehensive unit, integration, and performance test coverage; actively participate in and drive high-quality code and design reviews.
• Collaborate cross-functionally with storage, transaction, and infrastructure teams to ensure execution-layer scalability as cluster sizes and transactional throughput grow.
• Contribute strategically to the roadmap and technical direction of YugabyteDB’s distributed SQL execution subsystem and the broader ecosystem.

• 8-25 years experience with compiled languages, e.g. C/C++.
• BS/MS/PhD in CS (or related field) or equivalent experience.
• Systems engineering fundamentals (e.g.: distributed systems, operating systems, databases) is a must.
• Experience with compiled languages, e.g. C/C++ (preferred), Java, Go, Rust.
• Knowledge of database internals, compilers, query planning/optimization is a plus.

#LI-Remote

Due to the Proclamation, “Restriction on Entry of Certain Nonimmigrant Workers”, which went into effect on September 21, 2025, at this time we are no longer able to sponsor new H-1B visa petitions filed after September 21, 2025 for new hires. We are still able to consider candidates who require H-1B extensions, changes of employer, or other types of work authorization.

Who we are

Moniepoint is one of Africa’s fastest-growing fintech companies, recognised by the Financial Times for three consecutive years. We provide an end-to-end financial ecosystem powering payments, banking, credit, and business tools for over 10 million users, processing more than $250B+ in annual transaction value.

In 2024-2025, Moniepoint completed a Series C fundraise exceeding $200 million, backed by leading global investors including Visa, Google’s Africa Investment Fund, Development Partners International, LeapFrog Investments, Lightrock, and IFC. This investment underscores our scale, profitability, and long-term roadmap and solidifies Moniepoint’s position as one of Africa’s fintech unicorns.

About the role

We are hiring a senior Generalist Engineer for our Research & Development Team who can own problems end to end and deliver complete production systems, not just components. This is a broad, high-ownership role for an engineer who can operate across software, distributed systems, infrastructure, data, and, where useful, machine learning, moving from vague problem statements to clear designs, robust implementations, reliable deployment, and effective operation in production.

Success in this role requires strong first-principles thinking, sound technical judgment, deep debugging ability, and the willingness to work across boundaries to get the job done. We are looking for a true engineering generalist: someone who reduces complexity, improves reliability and performance, and treats ML as one tool among many rather than a default answer.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

What You'll Be Doing

• Design and build production-grade systems that are reliable, scalable, and observable.
• Own systems end-to-end: problem → design → data → implementation → deployment → operations.
• Work across application services, distributed systems, infrastructure, data pipelines, and ML systems
• Debug complex production issues across multiple layers
• Make engineering trade-offs grounded in first principles
• Improve performance, latency, reliability, and cost efficiency
• Contribute to architecture and technical direction
• Write maintainable code and documentation
• Raise the engineering bar
• Machine Learning as Part of the Role
  • Frame problems correctly: when to use ML vs deterministic systems
  • Work with data end-to-end
  • Train, evaluate, and iterate on models
  • Build reproducible pipelines
  • Deploy models and monitor performance, drift, and cost
  • Debug system + model failures

What We're Looking For

• Strong CS fundamentals (DSA, OS, networking, distributed systems)
• Solid probability and statistics
• Experience building production systems at scale
• Ability to move across languages (Go, Java, Python, Rust, SQL)
• Understanding of system behavior under load and failure
• Comfort with Linux, containers, Kubernetes
• Strong debugging skills
• Ability to reason using invariants and failure modes
• Data systems, streaming systems, ML infrastructure, performance optimization

What We Value

• Ownership over problems
• Simplicity over complexity
• Curiosity about internals
• Robust design thinking
• Clear communication

What Success Looks Like

• Deliver working production systems from ambiguous problems
• Apply ML only when needed
• Build reliable, scalable systems
• Reduce complexity
• Earn trust in technical judgment

If you are a builder, a systems thinker, and a technologist who loves exploring what’s next, we’d love to have you help shape the future of Moniepoint.

What we can offer you

• Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, paid leave plus other benefits.

What to expect in the hiring process

Our interview process is designed to be thoughtful, transparent, and candidate-friendly, allowing you to showcase your strengths while getting to know us better:

• Initial Conversation: A brief introductory call with our recruiter to learn more about your background, career goals, and to share insights about the role and our team.
• Technical Assessment: A practical, take-home assessment follow by a discussion with an interviewer on a call.
• System Design Interview: A focused session with our Engineering Team, where we'll explore system design, architecture, and problem-solving approaches.
• Final Interview: A combined technical and behavioural conversation with a member of our Executive Team, aimed at understanding your alignment with our values, vision, and culture

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

#LI-Remote

We’re looking for Backend Engineers to lead the design and delivery of SaaS products that are powered by data, machine learning, and AI. 

You’ll be the senior technical owner for one or more product areas, working across , backend, systems, and cloud infrastructure to: 

• Ship high-quality data/ML/AI powered features end-to-end 

• Integrate data/ML/AI capabilities into real customer workflows 

• Raise the bar on design, reliability, performance, and engineering practices across the org 

This is a hands-on senior role: you’ll write code, review designs, mentor senior engineers, and collaborate closely with product, design, data, and ML teams. 

What You’ll Do 

• Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform. 

• Work with product, design, and data/ML teams to translate business problems into simple, robust technical solutions. 

• Drive the evolution of our system architecture (APIs, services, data flows, auth, tenancy, integrations) as the product and customer base scale. 

End-to-End Full-Stack Product Delivery 

• Build and maintain backend services and APIs (REST/GraphQL/gRPC) that power those experiences. 

• Deliver backend features end-to-end including data schemas and business logic. 

• Collaborate with UX and product to ensure responsive and delightful product experiences. 

Data / ML / AI Integration 

• Partner with data scientists and MLOps / platform teams to embed data, ML and AI capabilities into the product (recommendations, categorization, automation, routing, insights, LLM-powered workflows, etc.). 

• Design APIs, data contracts, and UX flows that make ML/AI features reliable, understandable, and safe for customers. 

• Ensure telemetry and feedback loops are in place so data/ML teams can measure performance, iterate models, and improve outcomes. 

• Help define and implement guardrails for AI features (fallbacks, explanations, error handling, permissions). 

Operational Excellence 

• Champion operability: monitoring, alerting, logging, and runbooks for services you own. 

• Lead efforts to improve performance, scalability, and resilience of critical paths (e.g., onboarding, reporting, AI-assisted workflows). 

• Work with security and compliance to ensure features meet requirements around authentication, authorization, data privacy, and multi-tenancy. 

• Participate in and help evolve on-call / incident response processes as a technical leader. 

Engineering Excellence & Leadership 

• Act as a technical mentor for multiple teams, raising the bar on code quality, reviews, testing, and design. 

• Lead technical design reviews and cross-team architecture discussions, especially where product, data, and ML intersect. 

• Help define engineering standards and best practices (API design, frontend patterns, error handling, observability, testing). 

• Partner with engineering management to shape roadmaps, staffing, and sequencing for major initiatives. 

What You’ll Bring 

Experience 

• 10+ years of software engineering experience 

• Demonstrated experience shipping data/ML/AI powered SaaS products, 

• Strong track record of owning and shipping complex, user-facing features end-to-end in collaboration with product management and UX. 

• Experience as a senior member of the technical staff in guiding teams and owning critical production systems. 

Technical Skills 

• Strong proficiency with at least one backend stack, for example: 

• Node.js/TypeScript, Java,  Go, Rust, or similar 

• Designing and building APIs, services, and integrations 

• Proficiency with Python and data analysis/modeling tools (e.g. pandas/pytorch) 

• Solid understanding of data modeling and storage: relational databases, caching, and basic data warehousing concepts. 

• Familiarity with data/ML/AI concepts: 

• How ML models or LLMs are exposed as services 

• Typical failure modes, latency/throughput considerations, and guardrails 

• Experience with cloud platforms (AWS / GCP / Azure), containers, and infrastructure (networking, scaling, security). 

• Strong habits around testing, CI/CD, code reviews, and incremental delivery. 

Mindset & Soft Skills 

• Product-minded engineer who cares about customer problems, usability, and outcomes, not just code. 

• Systems thinker who can balance short-term delivery with long-term architectural health. 

• Excellent communicator, comfortable driving alignment across engineering, product, data, and go-to-market teams. 

• Enjoys mentoring and multiplying the impact of other engineers. 

The Opportunity at Komodo Health

Komodo aims to build the best healthcare data architecture in the industry. We are rapidly growing and expanding our infrastructure stack and adopting SRE best practices. You will be joining the Platform team. We build, operate, and constantly improve our infrastructure offerings for 150+ client organizations. The team achieves our business goals by adopting best infrastructure practices and leveraging 100% automation to scale our product offerings and reduce costs. You will work with passionate team members across the country, and to accomplish our goal: reduce the burden of disease.

Looking back on your first 12 months at Komodo Health, you will have…

• Have developed a deep understanding of Platform and Platform customers 
• Have built and operated cloud infrastructure (AWS) based on customer requirements 
• Have solved any development and deployment challenges around making Platform infrastructure highly reliable, easy to maintain, and cost effective
• Have participated in the development, execution, and support of the new feature rollout with solution architects, forward-deployed engineers, and customer success teams
• Have developed and contributed to existing and new monitoring and alerting systems for Platform infrastructure
• Have hardened infrastructure security including network, storage, user access, etc. 
• Have responded and solved key customer reported issues in a timely manner
• Participated in an on-call rotation
• Spearheaded the adoption of AI-driven development workflows, integrating LLM-based tools into the SDLC to accelerate feature delivery and reduce mean time to resolution (MTTR).
• Architected and deployed custom MCP (Model Context Protocol) tooling and autonomous agents, enabling seamless data interoperability between internal systems and AI models to automate complex platform engineering tasks

What you bring to Komodo Health:

• Engineering Excellence: Proficiency in Python or Rust, with deep technical troubleshooting skills and extensive experience building backend APIs and microservices.
• Cloud Infrastructure: Expert-level knowledge of AWS core services and the ability to architect scalable solutions from high-level requirements.
• Kubernetes & Orchestration: Hands-on experience managing the "care and feeding" of Kubernetes clusters (upgrades, Service Mesh/Istio, Helm) and scaling compute services using ArgoCD and Argo Rollouts.
• Infrastructure as Code & CI/CD: Proficiency in Terraform/Scalr and experience building robust CI/CD pipelines using GitHub Actions or Jenkins.
• Networking & Connectivity: Solid understanding of networking fundamentals (subnets, CIDR, VPCs) to ensure secure, global application accessibility.
• Data Frameworks: Familiarity with big-data tools and workflow orchestrators such as Snowflake, Airflow, and Spark.
• AI & Productivity: Ability to leverage AI tools (Gemini, ChatGPT, Cursor) to streamline engineering workflows and enhance personal productivity.

Additional skills and experience we’d prioritize (nice to have)…

• Experience with AWS preferred. AWS Cloud Infrastructure certification is a plus. 
• Experience with data privacy concerns such as HIPAA or GDPR
• Working knowledge of data modeling and storage across relational (PostgreSQL), NoSQL (DynamoDB, Redis), and MPP databases (Snowflake, Redshift).
• Experience working with cross-functional teams and with other customer-facing teams
• Passion! We hope you are passionate about our mission and technology
• Ownership! We hope you own your work, be accountable, and push it through the finish line. We hope you treat yourself as a cofounder and do not hesitate to share any idea that helps Komodo
• Expertise! We do not need you to know everything, but we hope you have deep knowledge in at least one area and can start contributing quickly. And we would love to learn from you in your area(s) of expertise as well.

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 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 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

• Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
• AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
• Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
• Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
• Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

• Extensive Coding experience: You are a Python expert who understands "under the hood" internals. You are comfortable reading and debugging C++, Rust, or Go to understand how the core system works.
• Systems Engineering Mindset: You have a background in distributed systems, networking (TCP/IP, RDMA), or storage protocols. You understand the complexities of consistency and metadata at scale.
• AI Enthusiast: You are an early adopter of AI tools (Copilot, LLMs) and are excited about using them to automate the most tedious parts of the engineering lifecycle.
• The "SRE" Lens: You approach quality through the lens of Site Reliability Engineering. You care about observability, MTTD (Mean Time to Detection), and building self-healing testing loops.
• Problem Hunter: You have a "hacker" instinct. You don’t just find a bug; you find the architectural flaw that allowed it to exist.

*Candidate Note: This position is 100% remote for candidates based in India.

Job Summary

We are seeking a highly skilled PGD Developer to design, implement, and maintain the EDB Postgres Distributed (PGD) product, a multi-master distributed PostgreSQL solution that provides high availability, geographic distribution, and active-active replication for enterprise workloads. 

As a member of the team, you will work directly on PGD’s architecture design, development, testing, and documentation of new and existing capabilities with EDB’s quality standards.

What you’ll be doing:

• Design, develop, test, and document new PGD capabilities
• Maintain and improve the performance and usability of existing PGD capabilities
• Analyze business requirements and translate them into executable tasks
• Provide world-class production support to EDB’s PGD customers
• Participate in code reviews and collaborate with a globally distributed team

What you will bring:

• 5+ years of experience in a software engineering position
• Strong proficiency in C programming
• Experience with PostgreSQL internals (storage engine, WAL, replication, catalog system, or extension development)
• Understanding of distributed systems concepts: replication topologies, consensus, conflict resolution, eventual consistency, and failure modes
• Experience working on multi-version/multi-branch codebases with active backporting workflows
• Familiarity with build systems and CI/CD practices
• Comfort working with Git on a large, long-lived codebase with complex branching
• Strong debugging and performance analysis skills

What will set you apart:

• Prior contributions to PostgreSQL or other open-source database projects
• Experience with logical replication, logical decoding, or custom replication solutions
• Knowledge of distributed consensus algorithms (Raft)
• Familiarity with the PostgreSQL extension API and hook system
• Experience with high availability architectures and failover mechanisms
• Experience with Python and Rust
• Experience with the major Cloud Providers: AWS, Azure, GCP
• Experience with Ansible, Docker, and Kubernetes

About the Job:

We're looking for an engineering manager for our Warehouse Scale team. In this role, you'll lead the team that builds and operates the foundational data infrastructure powering LaunchDarkly's warehouse-native products — data export pipelines, warehouse health checks, and warehouse connection setup.

You'll bring a balance of people management and technical leadership as you drive the development of critical platform infrastructure and foster a high-performing, collaborative engineering culture. You'll partner closely with Product Management and cross-functional teams to deliver reliable, scalable systems that enterprise customers depend on.

Responsibilities:

• Lead and develop a team of backend engineers, providing coaching, feedback, and career growth opportunities

• Partner with PM and Design to scope, estimate, and sequence roadmap items, making scope tradeoffs in real time

• Own the team's delivery of critical infrastructure — data export pipelines, DAG orchestration, warehouse health checks, and connection setup

• Collaborate with adjacent teams (Warehouse Integrations, Experimentation, Data Platform) on shared infrastructure decisions and cross-team dependencies

• Communicate roadmaps, risks, and progress clearly to engineering leadership and cross-functional stakeholders

• Build team working norms that promote collaboration, reduce silos, and keep engineers engaged

• Drive operational excellence — improve reliability, observability, and incident response for production data infrastructure

• Participate in hiring to grow the team and raise the engineering bar

Qualifications:

• 3+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers

• Experience building or operating data infrastructure at scale — pipelines, orchestration frameworks, or data platform systems

• Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimations

• Strong communication skills, especially in distributed team environments with cross-timezone collaboration

• Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship

• Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort with production incident response

• Experience with Go or comparable backend languages (Java, Python, Rust) is a plus

• Familiarity with data warehouse platforms (Snowflake, Redshift, BigQuery, Databricks) and data pipeline tooling (Airflow, Prequel) is a plus

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.

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.

An overview of this role:

As a Staff Backend Engineer on the GitLab Knowledge Graph team, you'll help design, scale, and operate a high‑impact graph data service that underpins agents, analytics, and architecture‑level features across GitLab.com, Dedicated, and Self‑Managed deployments. You'll partner with a small, senior Rust‑first team to ship reliable graph capabilities and make them easy for other teams and agents to use.

The Knowledge Graph service is a distributed SDLC indexing system. It builds a property graph from GitLab SDLC (software development lifecycle) and code data using ClickHouse, NATS JetStream, and the Data Insights Platform. It also exposes secure graph queries and MCP tools for AI agents and product features. In this role, you’ll own core parts of the system end to end: shaping the architecture, hardening multi‑tenant behavior and performance, and making it straightforward for other teams and agents to consume graph capabilities.

In your first year, you’ll take clear ownership of major areas of the service (for example, the graph query engine, SDLC indexing, or multi‑tenant authorization), reduce single points of failure through better runbooks and shared context, and raise the bar on how we design, build, and operate analytical services across the stack.

What you’ll do

• Lead the design and evolution of core Knowledge Graph services in a production Rust codebase, including the graph query engine, SDLC and code indexing pipelines, and API/MCP surfaces that other GitLab teams and AI agents rely on.
• Own complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform, from technical direction and design docs through implementation, rollout, and iteration.
• Drive system design decisions that improve reliability, scalability, and maintainability for analytical (OLAP‑style) graph workloads. This includes multi‑hop traversals, aggregations, and multi‑tenant isolation. Document trade‑offs so the broader team can move quickly and stay aligned.
• Define and improve operational maturity for the service, including service level objectives (SLOs), observability, runbooks, incident response, capacity planning, and production readiness (PREP) for GitLab.com, Dedicated, and Self-Managed deployments.
• Collaborate asynchronously with product, data, infrastructure, security, and AI teams to sequence work, unblock platform‑level dependencies, and land features in a way that is safe for customers and sustainable for the team.
• Apply AI‑assisted development workflows responsibly (for example, using MCP‑aware tools, Knowledge Graph-backed agents, and internal Duo tooling) and help establish practical norms for how the team uses AI while maintaining strong engineering judgment.
• Mentor and support other engineers through pairing, technical design reviews, and knowledge-sharing, reinforcing shared ownership of the system and its operational sustainability.
• Contribute across the stack when needed, including occasional Ruby (Rails integration and authorization paths) or frontend work (for example, the Software Architecture Map UI) to close gaps and keep delivery moving.

What you’ll bring

• Significant experience building and operating production backend systems, with a track record of owning reliability, maintainability, and on-call readiness for services that support other product teams or platforms.
• Strong engineering skills in Rust or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive backend codebase.
• Strong system design skills, including making and explaining clear architectural decisions, documenting constraints, and aligning trade-offs with product and platform needs.
• Strong fundamentals in preparing and structuring information for AI agents: how to curate and organize what the agent sees, design systems that support effective LLM-powered behavior, and manage context windows and token usage.
• Comfort working in ambiguous environments, with the ability to work autonomously and stay self-directed. Demonstrated ability to identify problems, drive solutions, and take ownership.
• Experience with distributed data or analytics systems (for example, OLAP databases like ClickHouse or columnar stores, Kafka‑ or NATS‑style messaging, or change data capture (CDC) pipelines), and comfort reasoning about trade‑offs in that space.
• Familiarity with graph data modeling and/or query patterns (property graphs, Cypher/GQL, n-hop traversals, aggregations), or strong interest in developing that expertise in this role.
• Practical experience using AI tools in day-to-day development, with the ability to explain how you structure prompts, validate outputs, and fold AI assistance into a disciplined engineering workflow.
• A language-agnostic mindset and evidence that you can learn new languages and frameworks as the problem requires (for example, Ruby, Go, or TypeScript/Vue in adjacent parts of the stack).
• Excellent written communication and comfort collaborating asynchronously across teams and time zones in an all-remote environment.
• Interest in helping grow others through mentoring, thoughtful code review, and sharing context as the team scales and more customers adopt Knowledge Graph.

The Knowledge Graph team sits within the data engineering organization and builds the backend service that turns GitLab's SDLC and code data into a unified property graph. We expose it through a high-performance, ClickHouse-backed query engine and MCP tools. We're a small group of senior engineers working closely with partners across AI (Duo Agent Platform), analytics, infrastructure, delivery, and security because our work touches many layers of the platform. We work asynchronously and value strong ownership: each engineer is expected to build a deep understanding of the system and help evolve it over time. As we grow adoption, we're focused on scaling the service sustainably and making it reliable and easy to operate for GitLab.com, Dedicated, and Self-Managed customers.

An overview of this role

As an Intermediate Backend Engineer on the GitLab Knowledge Graph team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You’ll join a small, Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability.

The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness.

In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time.

What you’ll do

• Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers.
• Help maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform.
• Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads.
• Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience.
• Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team.
• Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness.
• Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase.
• Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing).

What you’ll bring

• Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (incident responses, and follow-ups, etc).
• Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase.
• Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role.
• Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time.
• Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow.
• A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems).
• Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions.
• Comfort working in a low-process, high-ownership environment where you take responsibility for your work, communicate progress clearly, and help refine problem statements with your teammates.
• Strong written communication and comfort collaborating asynchronously across time zones in an all-remote team.

About the team

We sit within the Data Engineering organization. We're a small group of senior engineers and we work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform.

We collaborate asynchronously and optimize for strong ownership rather than a feature factory model. We each build a meaningful understanding of the system and help evolve it over time. A key challenge for us right now is scaling sustainably. That includes hardening multi-tenant behavior, maturing observability and readiness, and keeping the system healthy and maintainable as usage grows and team members take time off. At the same time, we're bringing Knowledge Graph to general availability (GA).

Role Overview 

We’re looking for Backend Engineers to lead the design and delivery of SaaS products that are powered by data, machine learning, and AI. 

You’ll be the senior technical owner for one or more product areas, working across , backend, systems, and cloud infrastructure to: 

• Ship high-quality data/ML/AI powered features end-to-end 

• Integrate data/ML/AI capabilities into real customer workflows 

• Raise the bar on design, reliability, performance, and engineering practices across the org 

This is a hands-on senior role: you’ll write code, review designs, mentor senior engineers, and collaborate closely with product, design, data, and ML teams. 

What You’ll Do 

• Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform. 

• Work with product, design, and data/ML teams to translate business problems into simple, robust technical solutions. 

• Drive the evolution of our system architecture (APIs, services, data flows, auth, tenancy, integrations) as the product and customer base scale. 

End-to-End Full-Stack Product Delivery 

• Build and maintain backend services and APIs (REST/GraphQL/gRPC) that power those experiences. 

• Deliver backend features end-to-end including data schemas and business logic. 

• Collaborate with UX and product to ensure responsive and delightful product experiences. 

Data / ML / AI Integration 

• Partner with data scientists and MLOps / platform teams to embed data, ML and AI capabilities into the product (recommendations, categorization, automation, routing, insights, LLM-powered workflows, etc.). 

• Design APIs, data contracts, and UX flows that make ML/AI features reliable, understandable, and safe for customers. 

• Ensure telemetry and feedback loops are in place so data/ML teams can measure performance, iterate models, and improve outcomes. 

• Help define and implement guardrails for AI features (fallbacks, explanations, error handling, permissions). 

Operational Excellence 

• Champion operability: monitoring, alerting, logging, and runbooks for services you own. 

• Lead efforts to improve performance, scalability, and resilience of critical paths (e.g., onboarding, reporting, AI-assisted workflows). 

• Work with security and compliance to ensure features meet requirements around authentication, authorization, data privacy, and multi-tenancy. 

• Participate in and help evolve on-call / incident response processes as a technical leader. 

Engineering Excellence & Leadership 

• Act as a technical mentor for multiple teams, raising the bar on code quality, reviews, testing, and design. 

• Lead technical design reviews and cross-team architecture discussions, especially where product, data, and ML intersect. 

• Help define engineering standards and best practices (API design, frontend patterns, error handling, observability, testing). 

• Partner with engineering management to shape roadmaps, staffing, and sequencing for major initiatives. 

What You’ll Bring 

Experience 

• 10+ years of software engineering experience 

• Demonstrated experience shipping data/ML/AI powered SaaS products, 

• Strong track record of owning and shipping complex, user-facing features end-to-end in collaboration with product management and UX. 

• Experience as a senior member of the technical staff in guiding teams and owning critical production systems. 

Technical Skills 

• Strong proficiency with at least one backend stack, for example: 

• Node.js/TypeScript, Java,  Go, Rust, or similar 

• Designing and building APIs, services, and integrations 

• Proficiency with Python and data analysis/modeling tools (e.g. pandas/pytorch) 

• Solid understanding of data modeling and storage: relational databases, caching, and basic data warehousing concepts. 

• Familiarity with data/ML/AI concepts: 

• How ML models or LLMs are exposed as services 

• Typical failure modes, latency/throughput considerations, and guardrails 

• Experience with cloud platforms (AWS / GCP / Azure), containers, and infrastructure (networking, scaling, security). 

• Strong habits around testing, CI/CD, code reviews, and incremental delivery. 

Mindset & Soft Skills 

• Product-minded engineer who cares about customer problems, usability, and outcomes, not just code. 

• Systems thinker who can balance short-term delivery with long-term architectural health. 

• Excellent communicator, comfortable driving alignment across engineering, product, data, and go-to-market teams. 

• Enjoys mentoring and multiplying the impact of other engineers. 

Role Overview 

We’re looking for Backend Engineers to lead the design and delivery of SaaS products that are powered by data, machine learning, and AI. 

You’ll be the senior technical owner for one or more product areas, working across , backend, systems, and cloud infrastructure to: 

• Ship high-quality data/ML/AI powered features end-to-end 

• Integrate data/ML/AI capabilities into real customer workflows 

• Raise the bar on design, reliability, performance, and engineering practices across the org 

This is a hands-on senior role: you’ll write code, review designs, mentor senior engineers, and collaborate closely with product, design, data, and ML teams. 

What You’ll Do 

• Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform. 

• Work with product, design, and data/ML teams to translate business problems into simple, robust technical solutions. 

• Drive the evolution of our system architecture (APIs, services, data flows, auth, tenancy, integrations) as the product and customer base scale. 

End-to-End Full-Stack Product Delivery 

• Build and maintain backend services and APIs (REST/GraphQL/gRPC) that power those experiences. 

• Deliver backend features end-to-end including data schemas and business logic. 

• Collaborate with UX and product to ensure responsive and delightful product experiences. 

Data / ML / AI Integration 

• Partner with data scientists and MLOps / platform teams to embed data, ML and AI capabilities into the product (recommendations, categorization, automation, routing, insights, LLM-powered workflows, etc.). 

• Design APIs, data contracts, and UX flows that make ML/AI features reliable, understandable, and safe for customers. 

• Ensure telemetry and feedback loops are in place so data/ML teams can measure performance, iterate models, and improve outcomes. 

• Help define and implement guardrails for AI features (fallbacks, explanations, error handling, permissions). 

Operational Excellence 

• Champion operability: monitoring, alerting, logging, and runbooks for services you own. 

• Lead efforts to improve performance, scalability, and resilience of critical paths (e.g., onboarding, reporting, AI-assisted workflows). 

• Work with security and compliance to ensure features meet requirements around authentication, authorization, data privacy, and multi-tenancy. 

• Participate in and help evolve on-call / incident response processes as a technical leader. 

Engineering Excellence & Leadership 

• Act as a technical mentor for multiple teams, raising the bar on code quality, reviews, testing, and design. 

• Lead technical design reviews and cross-team architecture discussions, especially where product, data, and ML intersect. 

• Help define engineering standards and best practices (API design, frontend patterns, error handling, observability, testing). 

• Partner with engineering management to shape roadmaps, staffing, and sequencing for major initiatives. 

What You’ll Bring 

Experience 

• 10+ years of software engineering experience 

• Demonstrated experience shipping data/ML/AI powered SaaS products, 

• Strong track record of owning and shipping complex, user-facing features end-to-end in collaboration with product management and UX. 

• Experience as a senior member of the technical staff in guiding teams and owning critical production systems. 

Technical Skills 

• Strong proficiency with at least one backend stack, for example: 

• Node.js/TypeScript, Java,  Go, Rust, or similar 

• Designing and building APIs, services, and integrations 

• Proficiency with Python and data analysis/modeling tools (e.g. pandas/pytorch) 

• Solid understanding of data modeling and storage: relational databases, caching, and basic data warehousing concepts. 

• Familiarity with data/ML/AI concepts: 

• How ML models or LLMs are exposed as services 

• Typical failure modes, latency/throughput considerations, and guardrails 

• Experience with cloud platforms (AWS / GCP / Azure), containers, and infrastructure (networking, scaling, security). 

• Strong habits around testing, CI/CD, code reviews, and incremental delivery. 

Mindset & Soft Skills 

• Product-minded engineer who cares about customer problems, usability, and outcomes, not just code. 

• Systems thinker who can balance short-term delivery with long-term architectural health. 

• Excellent communicator, comfortable driving alignment across engineering, product, data, and go-to-market teams. 

• Enjoys mentoring and multiplying the impact of other engineers. 

About The Team

dbt Fusion is building the next generation of data execution and connectivity infrastructure, enabling dbt workloads to run efficiently across diverse compute engines and data platforms. As a Senior Engineer on the Fusion Adapters and Connectivity team, you’ll design and ship core abstractions powering how dbt communicates with execution systems — leveraging Rust, Go, Arrow, and emerging open standards. This is a rare opportunity to work at the intersection of systems programming, database internals, and high-visibility open-source development. Your work will shape a foundational platform leveraged across the dbt ecosystem and the broader data community.

You are a good fit if you have:

• Strong programming background in Rust, Go, C++ or similar performance-oriented languages.
• Experience designing or maintaining SDKs, libraries, connectors, or compute/data integration codebases.
• Exposure to data warehouses, query engines, Arrow/columnar ecosystems, or execution runtimes.
• A desire to build foundational platform components that other teams and community members rely on.
• Comfort working in public code review loops, async-first communication, and collaborative RFC processes.
• A mindset grounded in debuggability, reliability, and ownership in ambiguous problem spaces.

In this role, you can expect to:

• Design, build, and maintain Rust-first connectivity layers, execution APIs, and adapter scaffolding.
• Partner with teams building the dbt compiler, semantic layer, and runtime to evolve adapter interfaces and system boundaries.
• Contribute to Arrow/ADBC and other open-source specifications or implementations, strengthening the data ecosystem.
• Own CI, testing frameworks, profiling, error reporting surfaces, and release readiness for Fusion adapters.
• Debug complex interoperability and performance issues across drivers, engines, and compute domains.
• Collaborate with internal and community maintainers to review PRs, write RFCs, and evolve public code architectures.
• Mentor engineers on systems best practices and contribute to shared patterns around resilience, debuggability, and API clarity.

You’ll have an edge if you have:

• Contributed to or interacted with Arrow, ADBC, DuckDB, Presto, DataFusion, Spark, ClickHouse, or similar engines.
• Experience shaping adapter/plugin standards, driver contracts, or architectural interfaces used by others.
• Familiarity with Rust async ecosystems (tokio, tower, tracing) or Go concurrency practices.
• Prior OSS governance experience — triaging issues, reviewing PRs, or working with community maintainers.
• An interest in building developer-experience layers or scaffolding frameworks for adapter authors.

Qualifications:

• 6+ years experience in software engineering, with strong systems-level skills.
• 2+ years working in open-source, SDK, runtime, or low-level integration environments.
• Bachelor’s degree in Computer Science / related field or equivalent experience through industry OSS contributions.

P-1385

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating backend systems.
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

(P-1174)

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.

We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. 

In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane. These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources.

You will operate at an org-wide level, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems. This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams.

This is a unique opportunity for a senior technical leader who enjoys working in ambiguous problem spaces and is motivated by solving novel, multi-cloud distributed systems challenges at massive scale.

What we look for:

• 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language
• 10+ years of experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.

Role Overview:

• This is a foundational leadership role; the work here impacts how every product, customer, and partner experiences Kaseya. Role will be responsible for building and executing the Identity and API strategy for Kaseya's platform.  
• This position demands deep technical expertise in Identity platforms combined with strategic product thinking and cross-functional collaboration. 
• This role will work closely with product, security, legal, sales, and marketing teams across the organization to build foundational capabilities that become force multipliers for the entire platform. 
• This role shapes the core platform layer that enables engineering teams to build, automate, and operate software and AI-enabled systems reliably at scale.  

What will you do:

What You'll Do As a Principal Engineer, you will be the technical north star for our IAM and Control Plane strategy. Your role transcends individual features; you will be responsible for the long-term health and architectural evolution of our identity systems. Own the end‑to‑end technical design of IAM services, including identity lifecycle management, authentication, authorization, SSO, and privileged access controls, ensuring they are secure, scalable, and highly available. 

• Architectural Leadership: Lead the design and evolution of a secure, high-throughput, low-latency IAM systems that power both customer-facing and internal service APIs. Lead design and implementation of IAM integrations for SaaS, on‑prem, and cloud platforms, including federation (SAML, OIDC, OAuth), MFA, and Passwordless capabilities.
• Technical Strategy: Define the roadmap for migrating or scaling our legacy authentication and authorization systems into modern, distributed architectures.
• Cross-Functional Influence: Work closely with Product, Security, and UX teams to translate complex business requirements into robust, secure technical specifications.
• Mentorship & Excellence: Set the standard for engineering excellence through deep code reviews, technical design documents, and mentoring senior engineers.
• Operational Stewardship: Oversee the reliability of a platform under constant load, ensuring observability and resilience are baked into the core of the system.  

Required Skills:

• Extensive Experience: 10+ years of professional experience building and managing software applications at a massive scale (with at least 5 years at Sr Staff or Principal level).
• Identity Domain Expertise: Deep understanding of IAM protocols (OAuth2, OIDC, SAML), RBAC/ABAC models, and the security implications of session management at the edge. Experience with Active Directory and extensive experience implementing federation protocols (SAML, OIDC, OAuth2).
• Experience in Data Security or related areas and expertise in following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
• Distributed Systems Mastery: Proven track record in designing, architecting, and debugging large-scale distributed systems that handle global traffic.
• Language Proficiency: Deep knowledge of Go, Java, TypeScript, Rust, or similar is highly valued.
• API Stewardship: Significant experience designing and versioning public-facing APIs that are used by millions of developers.
• Recruit and mentor top-tier engineering talent to scale our security infrastructure. 

Desirable Skills:

• Observability Advocate: A passion for building "observable" systems using Prometheus, Grafana, and Kibana to proactively identify failures.
• Infrastructure as Code: Experience with modern containerized deployment (Docker & Kubernetes), Terraform, and infrastructure automation.
• Security Mindset: A background in security engineering or formal verification of protocol implementations.
• Strategic Delivery: A history of leading multi-quarter projects from conception to global rollout in partnership with product owners.  

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

The Opportunity

The Senior Software Engineer, Runtime Team is responsible for developing MariaDB Server components outside of the optimizer, replication, and certain storage engines. This includes query parsing, preparation, execution; plugins, some storage engines, and the server's utility set. Senior Software Engineers are critical in delivering robust software solutions that meet customer needs and align with project requirements.

Responsibilities

• Develop high-quality software solutions based on technical requirements and design specifications.
• Collaborate with cross-functional teams to understand project goals and requirements.
• Participate in code reviews to maintain code quality and consistency.
• Troubleshoot and debug software defects.
• Stay updated on programming languages, frameworks, and industry best practices.

Qualifications

• 8+ years of experience in software development
• 3+ years of experience in server / backend development
• Solid understanding and experience with MariaDB Enterprise Server and/or other RDBMSs
• Strong knowledge in C/C++ (Server side experience with Java or Rust, is also benefical)
• Development experience within a multi-threaded Server environment
• Development experience within a Unix/Linux environment
• Deep understanding of algorithms, data structures and their runtime complexities.
• Good knowledge of SQL, familiarity with NoSQL concepts
• BS/MS in Computer Science, Computer Engineering or higher
• Good written and spoken communication skills in English

Location - India (remote)

Travel - Not required

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

• 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

Position Overview

We are looking for a Software Engineer to work at the forefront of deploying our cutting-edge AI models, enhancing the performance and capabilities of our embodied systems. You will be responsible for optimizing AI inference processes from lightweight to billion-parameter models, ensuring our robots operate with unmatched efficiency and intelligence in real-world environments. You will work at the intersection of systems and machine learning, directly contributing to making our AI models more powerful and adaptive by ensuring consistent performance in light of variable and perhaps unforeseen compute and hardware constraints.

Responsibilities

• Develop and optimize runtime AI inference pipelines for real-world robotic deployment.
• Build infrastructure, frameworks, and tooling to enable reliable integration of models into robotic systems and informative analysis of production models to drive the direction of architecture choice and deployment system design.
• Formulate specialized optimization solutions for various inference paradigms and scenarios (autoregressive models, denoising models, hierarchical models, state machines, multi-agent systems, cloud-based inference).
• Adapt optimization solutions to various compute, hardware, and networking constraints.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Minimum of 3 years of industry experience.
• Proficiency developing in low-level systems languages (C, C++, Rust, Go), Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Deep understanding and practical experience with low-level systems concepts (multithreading, networking, embedded systems, memory management).
• Experience with CUDA.
• Deep understanding of state-of-the-art machine learning techniques and models.
• Experience optimizing various machine learning architectures.
• Experience with machine learning compilers.
• Experience optimizing model inference for robotic systems deployment.

Position Overview

We are looking for a Robotics Engineer specializing in Deployment & Testing to help further the performance and capabilities of Skild AI’s world-class high-level software and products through formalized, rigorous testing. You will design and implement automated software tests and the ecosystems in which they run. As a critical member of the robotics team, you will have an important role in defining the quality standards of our software while accelerating its development.

Responsibilities

• Define, implement, and maintain comprehensive regression tests for Skild AI’s software and products.
• Design and organize test plans according to priority, impact, risk, and feasibility.
• Debug and troubleshoot failures in complex scenarios while testing and/or deployment at customer sites.
• Maintain robots and ensure they are deployment ready.
• Recreate corner cases from production logs into repeatable tests.
• Collaborate closely with robotic software developers and machine learning engineers and provide feedback on what needs to be improved to produce and sustain a top-quality product that meets customer expectations.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency developing in low-level systems languages (C, C++, Rust, Go) and Python.
• Experience with complex software systems working in real-time with embedded systems.
• Experience with Test Management and Requirements software.
• Experience with ROS/ROS2 or other robotics middleware platforms.
• Previous work experience as a Test Engineer.
• Prior experience developing and deploying software on real robots.
• Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
• Familiarity with machine learning integration and deployment in robotic systems.

Position Overview

The Software Engineer (Cloud Foundations) will work on core product systems using Kubernetes, Go, and Python. This role emphasizes end-to-end ownership, from concept to observability, across the stack. We use Terraform for repeatable, safe, infrastructure-as-code installations, including our bring-your-own-cloud (BYOC) offering. The ideal candidate values deep troubleshooting and holistic system ownership.

You will contribute reviewed code, pair with experienced engineers, and have a dedicated mentor. Interns do not hold the production pager neither on-call. Early weeks are for onboarding; mid-term involves owning a concrete ticket/mini-project; and by the end, a demo or résumé write-up is expected.

The role involves hands-on use of industry-standard tools, containers, Kubernetes, Terraform IaC, and CI/CD with guardrails. You will practice debugging beyond local environments. Optional stretch work on areas like async jobs, ingress, or orchestration is available with senior engineers.

Role and Responsibilities

This internship offers hands-on experience within small, collaborative Platform and Infrastructure teams, with projects aligned with our actual shipping processes.

The role involves several key responsibilities and learning areas. Interns will apply and understand Kubernetes fundamentals, such as Deployments, Services, reading cluster state with kubectl, logs, and resource limits, including small manifest or Helm chart changes under review. They will contribute to our Go or Python services through backend development, focusing on bug fixes, test implementation, developing small Command Line Interface (CLI) subcommands, or adding features behind a flag. The initial focus may not be on developing new controllers. Interns will also gain exposure to Infrastructure as Code (IaC) by improving Terraform module variables or documentation, addressing environment drift in development or staging, or adding validation. Customer install scenarios are often simulated in a sandbox.

A core component is Cloud Provisioning and Operations, where interns learn the differences between our SaaS and customer-deployed infrastructure. Potential work includes improving installation documentation, enhancing diagnostics scripts, or developing internal tooling for customer clusters. They will also build essential Observability Practices by adding metrics, log fields, or trace spans, connecting them to dashboards, and documenting changes with short runbook notes.

For stretch opportunities, which will involve pairing with and review by a Staff Engineer, interns might work on a queue consumer, managing retry/idempotency logic, or building related admin tooling. They may also implement small ingress-related changes or touch upon emerging areas like proxying, task queues, and orchestration as we expand our cloud offerings.

Throughout the experience, the intern will practice owning a slice of work: clarifying requirements, implementing the solution, validating it in a cluster, and anticipating potential failure points—all within an appropriate intern scope. This involves writing and testing software, analyzing logs and dashboards, and cross-functional collaboration. Success will be measured by learning velocity, effective communication, and the contributions shipped, not by carrying sole responsibility for large-scale operations like regional failover.

Required Skills and Experience

• Pursuing a B.S. (or equivalent) in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline, or demonstrable equivalent depth from projects and coursework

• Solid computer science fundamentals (data structures, algorithms, and how programs fail in the real world)
• Strong programming skills in at least one of Go, Python, C++, or Rust, with willingness to work primarily in Go and Python on our codebase
• Comfortable with Git and a basic Linux command line
• Interest in puzzle-style debugging (for example: why did this workload restart?) without needing every answer on day one

Preferred skill and experience

• Coursework or projects touching operating systems, networking, concurrency, or distributed systems at a high level
• Exposure to Docker or containers, or hands-on use of a cloud provider free tier or class account
• High-level intuition for how the internet works (HTTP, DNS in broad strokes)
• Any Terraform, Pulumi, or other IaC experience in a course, club, or personal project
• Familiarity with Kubernetes or Helm (even if shallow); we will teach depth and our control vs data plane layout on the job
• Interest in end-to-end ownership: describing how you would validate a change from laptop to cluster

P-1533

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.

We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. 

In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane. These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources.

You will operate at an org-wide level, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems. This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams.

This is a unique opportunity for a senior technical leader who enjoys working in ambiguous problem spaces and is motivated by solving novel, multi-cloud distributed systems challenges at massive scale.

What we look for:

• 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language
• 10+ years of experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.

P-1492

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The Role : 

We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks  that form the building blocks for all software development at Databricks. This is not a full-stack role; your expertise will be focused on the intricate details of system internals, performance, and efficiency.

What we look for : 

• Design, implement, and maintain core system infrastructure and low-level software components.
• Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions.
• Work with JVM internals, memory management, concurrency, and distributed systems.
• Collaborate with other senior engineers and architects to define technical strategies and roadmaps.
• Mentor junior engineers and contribute to a culture of technical excellence.
• Participate in code reviews, design discussions, and architectural decision-making.
• Troubleshoot complex system issues and provide effective resolutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 7+ years of professional experience in software development.
• Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model.
• Proficiency in at least one JVM language and extensive experience with its runtime environment.
• Strong programming skills in Scala/Java/Rust or other systems-level languages.
• Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O.
• Proven track record of building and optimizing high-performance, scalable, and reliable systems.
• Experience with distributed systems concepts and technologies.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities
• Experience with performance profiling and tuning tools.
• Contributions to open-source projects related to JVM or systems software.
• Experience with RPC frameworks.

If you are a systems-level expert with a passion for optimizing the core of technology and possess a deep understanding of JVM internals, we encourage you to apply and help us build the future.

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. 

The Role : 

We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. Your expertise will be focused on the intricate details of system internals, performance, and efficiency.

What we look for : 

• Design, implement, and maintain core system infrastructure and low-level software components.
• Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions.
• Work with JVM internals, memory management, concurrency, and distributed systems.
• Collaborate with other senior engineers and architects to define technical strategies and roadmaps.
• Mentor junior engineers and contribute to a culture of technical excellence.
• Participate in code reviews, design discussions, and architectural decision-making.
• Troubleshoot complex system issues and provide effective resolutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 7+ years of professional experience in software development.
• Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model.
• Proficiency in at least one JVM language and extensive experience with its runtime environment.
• Strong programming skills in Scala/Java/Rust or other systems-level languages.
• Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O.
• Proven track record of building and optimizing high-performance, scalable, and reliable systems.
• Experience with distributed systems concepts and technologies.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities
• Experience with performance profiling and tuning tools.
• Contributions to open-source projects related to JVM or systems software.
• Experience with RPC frameworks.

If you are a systems-level expert with a passion for optimizing the core of technology and possess a deep understanding of JVM internals, we encourage you to apply and help us build the future.

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating backend systems.
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

Job Title: Python  Developer

 About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO? 

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Job Description:

• About the Role

  In this role, you will have the opportunity to work on complex and challenging projects that have a direct impact on our business. You will collaborate with stakeholders across the organisation to identify business needs and develop technical solutions that drive results. Your expertise in fullstack development, data science, and financial markets will enable you to make a significant contribution to our team and help drive business success.

  Key Responsibilities

  • Develop and implement fullstack applications that automate and streamline processes, improving efficiency and reducing risk.
  • Develop and Manage backend systems primarily using Python, with additional capabilities in Java and other languages.
  • Develop and manage frontend applications primarily using React and Next.js, with additional capabilities in JavaScript and other frameworks.
  • Design and implement core backend services and systems to serve other applications using high performance programming languages such as java.
  • Demonstrate a strong ability to understand and apply software architecture patterns, including microservices and event-driven architecture, to design robust and scalable solutions.
  • Work closely with cross-functional teams to design and implement solutions that meet business requirements and goals.
  • Communicate complex technical concepts to non-technical stakeholders, including business leaders and external partners.
  • Rapid response to issues as they arise, with the ability to drive quickly to the heart of an issue and propose appropriate solutions.
  • Manage work and processes across multiple sites.
  • Maintain discipline in coding practice while ensuring timely delivery of end solutions.

  Technical Expertise

  • Proficiency in Python is required, with familiarity in other programming languages such as Java, C++, Go, Rust, and others being advantageous.
  • Strong understanding of software architecture patterns, including microservices and event-driven architecture.
  • Familiarity with containerisation using Docker, and experience with container orchestration tools such as Kubernetes.
  • Strong understanding of software development lifecycle methodologies and experience with DevOps and CI/CD pipelines.
  • Experience with frontend technologies, including React and Next.js, and JavaScript.
  • Familiarity with data science and analytics techniques, including machine learning and statistical modelling.
  • Experience with database management systems, including relational and NoSQL databases.
  • Experience with Dash or other UI frameworks is a nice to have.

Location Preference: National Capital Region, New Delhi

This is an in office position 5 days a week.

About Us:

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

BuildIQ is seeking a Senior NodeJS Engineer with expert-level TypeScript skills to build and scale modern, high-performance services. You will be responsible for the development of Visual and AI for Authoring, ensuring it meets the highest standards and architectural integrity. In this role, you will bridge complex backend logic with seamless performance to drive the next generation of our product ecosystem.

Responsibilities: 

• Maintain applications written in high-level programming languages such as NodeJS in TypeScript.
• Strive for constant improvement and contribute to the power of our agile development culture
• Collaborate with other teams on building our platform
• Participate in on-call rotations to help teams troubleshoot urgent customer-facing problems and other engineering issues

Required Skills:

• Good Experience with TypeScript (NodeJS)
• Experience with CI/CD and Docker
• Experience with relational or non-relational databases
• Experience with observability and monitoring
  
  

Nice to Have:

• Experience with Rust or Go 
• Experience with other high level programming languages like Java or C#
• Experience working in both high volatility (startup) and bigger organization environments
• LLM Agent Development: LangChain/similar frameworks + tool development (MCP, function calling)
• Agent Communication Protocols: MCP and/or A2A patterns
• Prompt Engineering: System prompt design, optimization, output validation
• Managed LLM Services: GCP Vertex AI, AWS Bedrock, or Azure OpenAI

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

Job Description

 PayPay is looking for a Cloud Infrastructure Engineer for PayPay's Cloud Based payment system. This role will be responsible for the engineering of Cloud Infrastructure Platforms to provide robust, reliable and cost-efficient Platform so that we can deliver the best experience for our growing customers base.

Primary Responsibilities

• Architect and build a robust, scalable and stable infrastructure
• Architect and build Infrastructure that is easily maintainable during patching and upgrades without downtime
• Architect and build Infrastructure with AWS regional level failure tolerance
• Work together with our Security Engineers to provision a secure Infrastructure
• Automations for AWS Deployments to ensure fast delivery of Cloud Services to our developers
• Provide through Automations means for developers to easily deploy resources on AWS

Tech Stack

• AWS:
  • VPC, EC2, ECS, EKS, Lambda, Cloudfront, MWAA, RDS, ElastiCache, DynamoDB, Opensearch, S3, CloudWatch, Cognito, SQS, KMS, Secret Manager, KMS, MSK, SES, Transfer Family, ClientVPN, Shield, WAF, GuardDuty, IAM Identity Center, Organization, WorkSpaces, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation and other services
• Terraform, Github Actions, Prometheus, Grafana, Atlantis, ArgoCD, OpenTelemetry, Wiz, Backstage

Qualifications

• Looking 9+ years of technical and architectural experience in AWS-based infrastructure platforms
• Extensive technical hands-on experience with computing, networking, storage, and analytical services on Latest AWS Services
• Experience with Terraform based infrastructure as code (IAC) on AWS
• Experience in production level infrastructure change management and releases for high traffic & business-critical systems
• Experience in Cloud infrastructure and platform systems availability, performance and cost management
• Experience as an AWS administrator, including Multi AWS organization management, managing 50+ AWS accounts and 100+ users
• Strong understanding of cloud security best practices in Fintech Industry
• Demonstrated skill in programming and scripting languages, including Python, Shell Scripting, Go, and Rust
• Excellent oral, written, and interpersonal communication skills
• Proficiency in either English or Japanese

Preferred Qualifications

• Certified at the AWS Professional or Specialty level
• Experience in payment industry compliance standards such as PCI DSS 
• Bachelor’s degree and above in a Computer Science related field
• Experience with other cloud service providers (e.g GCP, Azure)
• Experience with Kubernetes (CKA, CKAD or CKS)
• Experience in AI/ML infrastructure design and operations
• ​​Experience using and contributing to Open Source tools
• Published papers / blogs / articles
• Bilingual in English and Japanese is nice to have, but not required
• JLPT Level 3 or above
• Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• Gurugram (Wework)

　　※The development center requires you to work in the Gurugram office to establish the strong core team.
　　　

Role
We've been around for 9 years and have real customers, real revenue, and real scale processing 300+ billion rows daily (and growing) across thousands of active pipelines. But we operate with the intensity of a seed-stage company. Our product-market fit is evolving rapidly as AI reshapes the data integration landscape. We're building a new generation of intelligent, context-aware connectors that changes how the industry thinks about data movement.

This role is for builders who want ownership. You will write code every day. You will debug production issues when they happen. You will own entire systems end-to-end from design to deploy to on-call. If you want to build something that matters with a small, focused team, we are a good fit.

Responsibilities
Build & Ship (60%+ of your time)

• Design and implement core connector framework features—schema evolution, intelligent pagination, rate limiting, circuit breaking—and ship them yourself.
• Own the full lifecycle of the Connector SDK: build it, document it, dogfood it, iterate on it based on feedback from internal teams and partners.
• Debug the hard stuff. Trace failures across Kafka clusters, distributed runtimes, and flaky third-party APIs. Fix them, then build the guardrails so they don't recur.
• Handle "dirty" real-world data. Build self-recovery mechanisms, automated retries, and intelligent error handling that keeps pipelines running without human intervention.

Architect & Evolve (25%)

• Define the technical direction for the connector framework. Solving the N+1 integration problem makes adding the 1,000th connector as easy as the 10th.
• Design for multi-tenancy, high concurrency, and low latency from day one. Our platform processes billions of rows; your architecture decisions have immediate, measurable impact.
• Evaluate and drive technology choices where to use Java/Kafka, where Rust or alternative runtimes make more sense, and how to reduce infrastructure costs without sacrificing reliability.

Lead & Multiply (15%)

• Raise the bar through code reviews, design sessions, and pairing. We're a small team; your standards become the team's standards.
• Work directly with Product and the CTO to translate customer needs and market shifts (GenAI data ingestion, real-time CDC, agentic workflows) into technical plans.
• Document what you build. We don't separate building from knowledge sharing RFCs, runbooks, and SDK docs are part of the job, not an afterthought.

Qualifications
Must-Haves

• 8-15+ years of software engineering, with significant time spent building platforms, frameworks, or SDKs—not just end-user applications.
• Expert-level Java/Kotlin/Scala. You understand JVM memory management, concurrency models, and non-blocking I/O at a level where you can diagnose a thread starvation issue from a heap dump.
• Deep experience with distributed systems in production: Kafka, Spark, Flink, or similar. You've operated these systems, not just used them. Bonus points for building something of your own.
• Comfort with the Modern Data Stack: Snowflake, Databricks, and the alphabet soup of protocols (gRPC, GraphQL, Webhooks, CDC).
• Startup mindset. You thrive in ambiguity. You're comfortable defining scope on the fly and shipping before the full picture is clear.
• You've owned production systems and learned the hard way what good operational discipline looks like.
• Global Collaboration Window: Ability to overlap with morning PST (Pacific Standard Time) working hours for syncs, design reviews, and collaboration with our US-based leadership and engineering teams.

Nice-to-Haves

• Contributions to open-source data projects (Airbyte, Flink, Debezium, Arrow).
• Experience at an iPaaS or ELT company (MuleSoft, Fivetran, Informatica, Airbyte).
• Deep Kubernetes / cloud-native experience. We run on K8s and are migrating to Strimzi for Kafka.
• Security architecture chops: OAuth 2.0, mTLS, encrypted credential management at scale.

Why This Might Be Worth It

• Impact at scale from day one. Your code processes billions of rows for companies like DoorDash and LinkedIn.
• The AI wave is real for us. We're not bolting AI onto a legacy product. Intelligent connectors, context-aware data movement, and agentic workflows are the core of what we're building next.
• Small team, big problems. You'll have direct access to the CTO, real influence over product direction, and the autonomy to make significant technical bets.
• Recognized platform with startup energy. The credibility of enterprise validation with the speed and ownership of an early-stage company.

Location - Bengaluru
Workplace type - Hybrid

About EnCharge AI: 

EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. 

The Opportunity: 

Video generation represents one of the most compute-intensive frontiers in AI—and one of the most promising applications for our hardware's energy efficiency advantages. We're building a vertically-integrated video generation stack that will showcase the transformative potential of our silicon while delivering real value to customers today. 

We are seeking a Software Engineer to build the infrastructure and applications that bring our video generation capabilities to market. You'll build the serving stack, customer-facing APIs, and develop agentic systems that demonstrate what's possible when video generation meets energy-efficient hardware. 

This is a foundational role. You won't be inheriting a mature codebase—you'll be architecting production systems from scratch, making critical technical decisions, and building software that directly enables our go-to-market motion. 

Key Responsibilities: 

• Inference & Serving Infrastructure: Design and build scalable serving infrastructure for video generation models (Wan, LTX-Video, Flux, and beyond). Own latency, throughput, reliability, and cost optimization. 

• API & Platform Development: Build robust APIs and SDKs that enable customers and partners to integrate video generation into their products. Design abstractions that balance flexibility with ease-of-use. 

• Video Applications & Demos: Develop compelling demo applications that showcase our platform's capabilities—interactive experiences, batch processing workflows, and vertical-specific solutions that support the GTM team. 

• Agentic Workflows: Build agentic systems that leverage video generation as a core capability—autonomous video editing pipelines, multi-step generation workflows, and tool-use patterns that extend what's possible with video AI. 

• Production Operations: Establish monitoring, observability, and deployment practices for video generation workloads. Ensure systems are reliable, debuggable, and ready for customer-facing use. 

Qualifications: 

• 5+ years of software engineering experience, with a focus on backend systems or ML infrastructure 

• Strong fundamentals in Python and at least one systems language (Go, Rust, C++) 

• Experience building and operating production APIs and serving systems 

• Familiarity with ML inference pipelines (model serving, GPU workloads, batching strategies) 

• Comfort working in fast-moving, ambiguous environments where you define the roadmap 

• Strong product instincts—you think about how software will be used, not just how it works 

Nice to Have: 

• Experience with video processing pipelines or media infrastructure 

• Background building agentic systems or multi-step AI workflows 

• Familiarity with diffusion models or generative AI systems 

• Experience with Kubernetes, Ray, or other orchestration frameworks 

• Track record shipping developer tools or APIs 

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. 

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Gurgaon, India.

About the role

As a Staff Software Engineer at Fluxon, you'll drive the end-to-end delivery of products to market while learning, contributing, and growing in partnership with our leadership team

You'll be responsible for:

• Guiding project delivery all the way to the user, leading projects, building and iterating in a dynamic environment
• Partnering directly with clients to understand their needs, and achieve business goals
• Defining product requirements, identifying appropriate system designs and planning development in partnership with our Product and Design teams
• Supporting development of a healthy and effective engineering culture

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 7+ years of industry experience in software development
• Experience leading development through the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in the design and implementation of scalable system architectures, data structures and algorithms, and effective development practices

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health 
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Hyderabad, India.

About the role

As a Senior Software Engineer at Fluxon, you'll have the opportunity to bring products to market while learning, contributing, and growing with our team.

You'll be responsible for:

• Driving end-to-end implementations all the way to the user, collaborating with your team to build and iterate in a dynamic environment
• Engaging directly with clients to understand business goals, give demos, and debug production issues
• Informing product requirements, identifying appropriate technical designs in partnership with our Product and Design teams
• Proactively communicating progress and challenges in your work and seeking help when you need it
• Performing code reviews and cross-feature validations
• Providing mentorship in your areas of expertise

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 5+ years of industry experience in software development
• Experienced with the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in software design patterns, scalable system architectures, tooling, fundamentals of data structures and algorithms

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Bangalore, India.

About the role

As a Senior Software Engineer at Fluxon, you'll have the opportunity to bring products to market while learning, contributing, and growing with our team.

You'll be responsible for:

• Driving end-to-end implementations all the way to the user, collaborating with your team to build and iterate in a dynamic environment
• Engaging directly with clients to understand business goals, give demos, and debug production issues
• Informing product requirements, identifying appropriate technical designs in partnership with our Product and Design teams
• Proactively communicating progress and challenges in your work and seeking help when you need it
• Performing code reviews and cross-feature validations
• Providing mentorship in your areas of expertise

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 5+ years of industry experience in software development
• Experienced with the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in software design patterns, scalable system architectures, tooling, fundamentals of data structures and algorithms

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective