Location: France - Office - Paris
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
At Tenable, our Identity Exposure team helps security teams cut through noise by connecting identity context to vulnerabilities, so they can prioritize what actually matters and act with confidence.
As a Staff Engineer on this team, you'll shape our platform's future by driving technical discussions and owning the delivery of end-to-end features. You understand the architectural stakes behind your decisions, and raise the engineering bar across the team and beyond it.
What You'll Do:
Design, build, and maintain robust features spanning UI, API, and data layers.
Own delivery end to end, from product discussion to production health.
Help the team grow. share context, give and receive feedback openly, make the people around you sharper engineers over time.
Work cross-functionally across products, teams, geographies, and disciplines; you move across the stack and across domains, no problem is outside your reach.
Contribute freely across repos you don't own — no territorial instincts, just open the PR and get it merged.
Drive architectural discussions and advocate for scalable, maintainable and cost-conscious designs; you spot friction early, flag risks before they escalate, and move.
Contribute hands-on to AI-driven features and data-intensive product capabilities.
What You'll Need:
Product-first mindset.
Excellent English.
Strong communication and ability to drive change efficiently across teams.
Pragmatic mind, balancing craftsmanship with delivery, you ship and take pride in it.
Fullstack engineering capabilities with a strong backend foundation.
Solid object-oriented programming skills.
Experience working with high-volume data systems.
Familiarity with AI/ML practices.
Comfortable operating in complex, large-scale processes.
Nice to Have:
AWS · DynamoDB · Snowflake · ClickHouse · Kotlin · Python · Dotnet
#LI-AV1
#LI-Hybrid
This is the expected salary range for this position in the primary job location, depending on experience and qualifications. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of Competitive wellness and financial benefits.
EU Pay Range
€72.500
—
€96.500 EUR
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE JOB
As a Applied AI, Frontier Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on.
You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements.
We're looking for a strong software engineer who has shipped agentic or GenAI systems to production. You've felt the pain of agents that work in the demo and fall apart on real tasks: tool calls that fail silently, loops that never end, and quality that drifts after launch. That production depth is your edge. You build across the stack, and you'd rather ship a plain UI on a solid foundation than a polished UI on a fragile one.
You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it.
Your scope is end to end, from first prototype to production. You help set the standard for how the team builds agents that are reliable, observable, and safe to run against sensitive systems.
Security is a big part of where we're heading. If you're drawn to it, that's a strong plus. You might come from security with a real interest in AI engineering, or from AI engineering with a real interest in security. Both paths fit. Curiosity about how systems break, and a habit of learning fast from the people who know the domain, matter. Experience at a security company counts too.
WHAT YOU WILL DO
- Build AI systems end to end, from first prototype to production.
- Design the agent architecture: orchestration, tool use, memory, retrieval, and the interfaces between agents and the systems they act on.
- Build across the stack, from backend services and APIs to the interfaces people use to work with agents.
- Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time.
- Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start.
- Build security into agents from day one: permissions, sandboxing, prompt-injection defenses, and audit trails for agents that touch sensitive systems.
- Build the evaluation loop: task-level evals, tracing, and checks that catch agent failures and quality drift before customers do.
- Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on.
WHAT WE'RE LOOKING FOR
- You have 5+ years building production software, with at least one agentic or GenAI system shipped to production that you ran after launch.
- You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished.
- You have hands-on depth in agent design: orchestration, tool use, retrieval, evaluation, and the ways agents fail in the real world.
- You work autonomously: you find the problem, decide the approach, and own the outcome.
- You communicate clearly with technical and non-technical audiences, and are fluent in English.
- You ship in increments and are obsessed with time to value
- You have product judgment: you learn what users need through customer-facing teams, cut scope hard, and care how the result feels to use.
IDEALLY YOU HAVE
- Open-source contributions, particularly in agents or LLMs.
- Experience deploying and running what you build: Docker, Kubernetes, Terraform, and AWS, GCP, or Azure.
- A security background in application, cloud, or AI security, such as prompt injection, securing agents, or supply chain (SBOM, SLSA). If that's you, flag it in your application.
- Experience building for security workflows, such as alert triage, threat hunting, or investigation agents, or with SIEM, XDR, or SOAR tooling.
HOW WE WORK IN APPLIED AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
PlayStation Studios is the game development division of Sony PlayStation, and is responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including The Last of Us, Horizon, Spider-Man, God of War, Helldivers and Gran Turismo.
We work with some of the best game studios in the world, and use data to help them make their games even better. We provide end-to-end analytics services for PlayStation Studios and use data to help them in the game development lifecycle. We are looking for talented people to join us in pushing the boundaries of game analytics for PlayStation games.
This role offers a flexible hybrid working arrangement, with most time spent working remotely unless you prefer to come into the office. We attend the office for key moments that matter, such as important team meetings, collaboration sessions and business activities where in-person engagement is beneficial.
Role Overview:
As a Lead Software Engineer with experience in data pipelines, you’ll work in our cross-disciplinary Data Platform team to develop integrations and APIs supporting our Data Platform. These will include working with our data pipelines. You’ll work closely with our Game Analytics data engineers, who process this data to gain valuable insights both during game development and post-launch. As a lead, you’ll scale our platform and help us define its technical direction, expand its reach, and help define and build the future of the data platform for PlayStation games.
What you’ll be doing:
Own integrations with our data platform, including BI tooling, APIs, internal websites and other tooling
Drive improvements to achieve our technical and business goals
Enable studio self-service on our platform
Work closely with the Devops team, our data and frontend engineers, and stakeholders across the studio business group
Support our existing tooling, improving quality and documentation
Be a technical expert and share than knowledge with your colleagues
What we’re looking for:
You have experience building data integrations between different platforms, including APIs and pipelines
You are adept at writing code in Go, or write Python with a willingness to learn Go
You are experienced in building robust, scalable, and resilient services
You can demonstrate measurable impact that you have made in your current and previous roles
You enjoy having primary ownership of parts of a platform
Experience with AWS services, such as Amazon S3, Lambda, Redshift, Kinesis, Data Firehose, Athena and AWS Glue
Nice to have:
Has made use of AI during the development cycle, including use of Claude Code, Codex or other harnesses
Experience integrating with with Omni Analytics, or a similar BI tool (Looker, Tableau etc)
GitHub and GitHub Actions experience
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Remote - Europe Time Zones; Portugal; Spain
Workplace: Remote
SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes:
- SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.
- SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts.
- SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year.
- App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights.
WHY SPLITMETRICS?
- For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies.
- An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.
- Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more.
- Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem.
- Integrated AI into our strategic approach since 2023.
- Effectively collaborate across 20+ countries with a remote-first and supportive culture.
We’re looking for a Senior Backend Engineer (Python) who will join our team.
What will you do:
- Design and build backend services in Python (FastAPI)
- Implement async job execution and status tracking (Redis/Celery/Kafka)
- Integrate with LLM services (internal & external)
- Build and maintain external MCP servers that expose our platform to third-party AI agents and clients
- Develop ETL pipelines and ensure data quality across ingestion, transformation, and storage
- Ensure stability, observability, and cost-efficient inference
About you:
- 5+ years Python backend experience
- Strong FastAPI experience
- Solid PostgreSQL + S3 (or equivalents)
- Experience with async task queues (Celery, Redis, Kafka)
- Production experience integrating with microservices: long-running jobs, retries, failure handling
- Solid hands-on experience with agentic AI: building MCP servers, implementing agents, and working with various LLMs and other generative models
- Genuine enthusiasm for agentic AI and keeping up with how the field evolves
- Basic observability skills (logging, monitoring, alerting)
- Experience in cross-functional teams (frontend, ML)
- Experience with AWS infrastructure, Docker, Kubernetes
It would be great if you have:
- Familiarity with LangChain or agentic workflows
- Marketing technology background (ad platforms, creative tools)
- Experience with StarRocks (or other OLAP databases, ex. Clickhouse)
WHAT IS THERE FOR YOU?
- Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation.
- Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being.
- Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development.
- Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program.
- Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback.
- Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment.
- Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment.
OUR CULTURE
At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors:
- Move Fast
- Get Sh*t Done
- Build Together
- Strive for Transparency
- Own What You Do
- Learn + Share = Excel
Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Location: Vilnius
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
Millions of people trust Flo with their most personal health data. As our Security Architect, you’ll make sure we deserve that trust. This is a hands-on individual contributor role. You’ll work side by side with engineering, product and platform teams to shape secure architectures and build the guardrails that let both humans and AI coding agents ship quickly and safely. The role combines security architecture, product and application security engineering and security risk expertise: you will set secure patterns and standards, lead threat modelling and design reviews, embed security into the SDLC and CI/CD, and translate security risk into clear, pragmatic decisions.
What you’ll do
Shape secure architecture from day one.
Partner with teams early in design, lead security design reviews for new services and major changes, and record key decisions and risk trade-offs.
Build security harnesses for human and AI-agent development.
Design guardrails, sandboxing, least-privilege access for agents and tools, secrets handling, policy-as-code and automated checks that run inside developer and agent workflows.
Lead on AI and agentic security.
Define secure patterns for LLM integrations, MCP servers and tool use, and tackle risks like prompt injection, data leakage, excessive agency and supply-chain compromise.
Create paved roads.
Publish reusable patterns, reference architectures and standards that teams adopt because they’re the easiest option.
Scale threat modelling.
Build tools and skills that let engineers run threat models themselves, and carry out internal security assessments.
Remove whole classes of vulnerabilities.
Automate vulnerability triage and investigation, find systemic root causes, and feed the fixes back into patterns and guardrails.
Turn risk into clear decisions.
Explain security risk in pragmatic terms so the business can prioritise based on risk and value.
Advise and enable.
Be a trusted partner to engineering, product and leadership, coach engineers, and help evaluate third-party and AI tools so they can be adopted securely. Support ISO 27001/27701 so that controls are built into how we engineer, not bolted on afterwards.
What you’ll bring
7+ years in security engineering, application/product security or security architecture, including hands-on work securing cloud-native systems
Deep knowledge of Secure SDLC: threat modelling, security testing, app security review and CI/CD security
Hands-on experience with AWS and Cloudflare (or equivalents) and Terraform or similar IaC
A strong grasp of the OWASP Top 10 and the ability to assess exploitability and impact
Solid coding skills (e.g. Python, Go, Scala) and experience building security tooling or automation
Practical understanding of the risks in AI-assisted and agentic development and LLM applications (e.g. OWASP Top 10 for LLMs)
Experience with security risk analysis and risk management methods
The ability to explain trade-offs clearly to engineers and senior stakeholders, and to win people over
Nice to have
Experience building guardrails, sandboxes or policy-as-code (e.g. OPA) for developer platforms or AI coding agents
iOS or Android security experience
Experience with ISO 27001, ISO 27701 or SOC 2 audits
A background in health tech, femtech or another regulated, privacy-sensitive industry
Certifications or degrees such as CISSP, CCSP, OSCP or an MSc in Information Security
Why Flo
You’ll protect data that matters deeply to millions of people. You’ll also help set the standard for how a company adopts agentic engineering safely, and you’ll have real ownership: you design and build the first version, then hand it off to the teams who will run it.
Salary Range - gross per month (ranges may vary based on skills and experience)
€8.000
—
€10.000 EUR
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Location: London
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
Millions of people trust Flo with their most personal health data. As our Security Architect, you’ll make sure we deserve that trust. This is a hands-on individual contributor role. You’ll work side by side with engineering, product and platform teams to shape secure architectures and build the guardrails that let both humans and AI coding agents ship quickly and safely. The role combines security architecture, product and application security engineering and security risk expertise: you will set secure patterns and standards, lead threat modelling and design reviews, embed security into the SDLC and CI/CD, and translate security risk into clear, pragmatic decisions.
What you’ll do
Shape secure architecture from day one.
Partner with teams early in design, lead security design reviews for new services and major changes, and record key decisions and risk trade-offs.
Build security harnesses for human and AI-agent development.
Design guardrails, sandboxing, least-privilege access for agents and tools, secrets handling, policy-as-code and automated checks that run inside developer and agent workflows.
Lead on AI and agentic security.
Define secure patterns for LLM integrations, MCP servers and tool use, and tackle risks like prompt injection, data leakage, excessive agency and supply-chain compromise.
Create paved roads.
Publish reusable patterns, reference architectures and standards that teams adopt because they’re the easiest option.
Scale threat modelling.
Build tools and skills that let engineers run threat models themselves, and carry out internal security assessments.
Remove whole classes of vulnerabilities.
Automate vulnerability triage and investigation, find systemic root causes, and feed the fixes back into patterns and guardrails.
Turn risk into clear decisions.
Explain security risk in pragmatic terms so the business can prioritise based on risk and value.
Advise and enable.
Be a trusted partner to engineering, product and leadership, coach engineers, and help evaluate third-party and AI tools so they can be adopted securely. Support ISO 27001/27701 so that controls are built into how we engineer, not bolted on afterwards.
What you’ll bring
7+ years in security engineering, application/product security or security architecture, including hands-on work securing cloud-native systems
Deep knowledge of Secure SDLC: threat modelling, security testing, app security review and CI/CD security
Hands-on experience with AWS and Cloudflare (or equivalents) and Terraform or similar IaC
A strong grasp of the OWASP Top 10 and the ability to assess exploitability and impact
Solid coding skills (e.g. Python, Go, Scala) and experience building security tooling or automation
Practical understanding of the risks in AI-assisted and agentic development and LLM applications (e.g. OWASP Top 10 for LLMs)
Experience with security risk analysis and risk management methods
The ability to explain trade-offs clearly to engineers and senior stakeholders, and to win people over
Nice to have
Experience building guardrails, sandboxes or policy-as-code (e.g. OPA) for developer platforms or AI coding agents
iOS or Android security experience
Experience with ISO 27001, ISO 27701 or SOC 2 audits
A background in health tech, femtech or another regulated, privacy-sensitive industry
Certifications or degrees such as CISSP, CCSP, OSCP or an MSc in Information Security
Why Flo
You’ll protect data that matters deeply to millions of people. You’ll also help set the standard for how a company adopts agentic engineering safely, and you’ll have real ownership: you design and build the first version, then hand it off to the teams who will run it.
Annual Salary Range (ranges may vary based on skills and experience)
£100,000
—
£130,000 GBP
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Location: Bangalore
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
ABOUT THE ROLE
Join the Vertical Solutions team and build UiPath's most ambitious product - an AI agentic orchestration platform that's been recognized as our Invention of the Year for two consecutive years. As a Senior Software Engineer, you'll be at the forefront of our Act 2 strategy, building the infrastructure that allows enterprises to seamlessly orchestrate AI agents, robots, and human-in-the-loop workflows to achieve critical business outcomes.
You'll be working with Lax and the Maestro backend team to build the core orchestration engine that powers enterprise AI automation. This is a high-visibility, high-impact role on UiPath's biggest strategic bet.
What You'll Do
- Build and Scale: Design, develop, and maintain full stack for Vertical Solutions products leveraging AI Coding Assistants.
- Hands-On Development: Write production-quality code daily, leveraging AI tools (Claude, GitHub Copilot, etc.) to enhance your development workflow
- Prototype and Ship: Take ideas from Prototype to validate with real customers and turn the ones that prove value into production systems.
- Measure what matters: Design evaluations, measure quality against real customer data, and understand when metrics mislead. Our systems are often non-deterministic. Responsible shipping means measuring honestly, not chasing vanity numbers.
- Customer-Centric Engineering: Deeply understand who will use the features you build and why they need them, translating customer needs into elegant technical solutions
- Ensure Reliability: Contribute to building highly scalable, reliable distributed systems that enterprises depend on.
What We're Looking For:
- Builder mindset — you enjoy turning ideas into working systems and taking ownership from Concept through, Customer impact and Production
- Strong full stack knowledge including frontend systems like React and backend systems -Python and/or C# — most Vertical Solutions product development is Python (agents, APIs, ETL), while core platform work includes C#, frontend in React. Willingness to work across both is important.
- Experience building production AI systems — LLMs, tool-calling, multi-agent architectures, orchestration frameworks (LangGraph, LangChain, or equivalent), structured outputs, orchestration, and evaluation of model behavior in real-world workflows
- Distributed systems experience — designing resilient systems with idempotency, replay ability, state management, and long-running jobs
- Strong analytical thinking — able to reason quantitatively about system quality and make sound decisions using imperfect signals
- Comfortable with ambiguity and rapid prototyping — able to move from idea to proof-of-concept quickly and iterate based on customer feedback.
- Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus.
What You'll Bring to the Team
- Bachelor's/Master's degree in Engineering, Computer Science or equivalent experience.
- 7+ years of software engineering experience, with 4+ years focused on distributed systems and backend architecture.
- Strong proficiency in one or more system-level languages – Javascript / C# / Java etc
- Full-stack experience: ability to work across backend services and frontend layers (REST/GraphQL APIs, basic UI integration, component contracts).
- Deep understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms.
- Experience with React, TypeScript, or other modern frontend frameworks for deeper full-stack contribution.
- Strong grasp of multithreading, asynchronous programming, synchronization, and cloud-native programming models.
- Hands-on experience with cloud ecosystems: Azure, AWS, or GCP.
- Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent.
- Hands-on experience with AI coding tools and coding agents (e.g., GitHub Copilot, Cursor, Claude Code, or similar) and a demonstrated ability to integrate these into daily engineering workflows.
- Experience driving team adoption of AI-powered productivity tools – setting norms, measuring impact, and iterating on usage patterns.
- Familiarity with modern engineering practices: agile development, CI/CD, DevOps, and infrastructure as code.
- Excellent verbal and written communication skills; proven success collaborating with globally distributed teams and managing complex, time-bound deliverables.
- Ability to understand, communicate, and drive complex technical decisions with stakeholders at all levels.
Nice to Have
- Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus.
- Data science and evaluation
- Experience with applied ML techniques such as classification, anomaly detection, ranking, or predictive modeling
- Experience evaluating AI systems using experimentation, metrics, and empirical analysis to improve quality and reliability
- Data and retrieval systems
- Experience with large-scale data platforms (Snowflake, columnar warehouses, denormalized data models)
- Familiarity with retrieval-heavy architectures, RAG systems, or citation-grounded AI workflows
- Engineering for trustworthy AI
- Experience blending deterministic and probabilistic systems (rules engines + AI)
- Experience designing eval-driven systems, regression testing for LLM outputs, or human-in-the-loop review workflows
- Platform and product development
· Frontend familiarity (React, TypeScript)
· Workflow orchestration platforms (Temporal, Airflow, Maestro, BPMN, Step Functions)
· Kubernetes and distributed infrastructure
· Experience in startups, applied research, or 0→1 product environments
· Open-source contributions
How We Work
Vertical Solutions operates like an internal startup inside UiPath: small teams, fast iteration, and real customers in the loop. We build quickly, test ideas with users, and turn the best ones into products. Some ideas won’t make it — that’s expected. You’ll work in short cycles, demo frequently, and adapt as we learn. We care more about solving the right problem than protecting a plan that no longer fits. If you enjoy ambiguity, rapid feedback, and building where product boundaries move fast, you’ll likely thrive here.
Why Join Us
- Work on cutting-edge AI technology that's shaping the future of enterprise automation
- Be part of a team building Times top 100 Invention of the Year (2 years running)
- Collaborate with talented engineers who value rapid iteration and customer impact
- Contribute to UiPath's Act 2 strategy - our most important product initiative.
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Intellias
Meet your recruiter
Smita Aage
smita.aage@intellias.com
https://www.linkedin.com...
Vacancy details
Data Engineering
Data Engineer
Principal
India
Hybrid
APPLY NOW
REFER A FRIEND
Our client is a company that enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, it empowers their customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely.
What project we have for you
Our client is a is a location data and technology platform company that empower customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. They create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us!
As a Lead/Principal Engineer in the Map Data Processing group you will develop smart Map Data processing tools for the state-of-the-art Mapping Technologies. You will work self-sustained in an agile team. Your responsibility will cover developing, extending and maintaining tool and services that processes map data for global navigational database. For that you will be translating product strategies into technology strategies, leading the long-term architectural direction and helping design and build industry-grade customer-facing geo-data-intensive products. You will work closely with other engineering & operations teams, internal users of tool chains your team develops and partner with product managers and the larger map operations business units.
What you will do
Participate in the development, and maintenance of Python applications.
Troubleshoot and debug applications to resolve issues.
Write clean, efficient, and self-documented code.
Implement automation tests.
Collaborate with team members to identify and solve technical problems.
Participate in code reviews to ensure code quality and maintainability.
Work with stakeholders to gather and analyze requirements and provide technical solutions.
Monitor application performance and provide optimization recommendations.
Stay up to date with the latest technologies and industry trends.
What you need for this
Join our engineering organization to build the next generation of automated map data processing for a global provider of location and mapping solutions used in automotive and mobility.
You will be one of the
founding engineers on Platform
— a system that takes road data from multiple sources (GPS traces, traffic signs, open map data), detects errors in the map, and either auto-corrects them or flags them for human review. The platform produces quality signals and road attribute corrections that feed directly into navigation and autonomous driving products.
This is a project-starter role. We are looking for someone who can define technical direction, shape architecture from scratch, align stakeholders across teams, and raise the engineering bar — not someone who joins and executes tasks. The primary language on this team is
Python/Pyspark
— strong technical leads in either are welcome.
Required skills:
8+ years of experience working as a Python Engineer/ Pyspark into Big Data Eco system or in a similar role.
Strong Experience in AWS, Spark, Big Data Eco system
Strong proficiency in Python programming and knowledge of object-oriented programming principles.
Solid understanding of algorithms and data structures.
Experience with OpenSearch / Elastic Search i.e. Understanding how the index’s works and how the layer are stitched together, also how to create schemas.
Experience in Prompt Engineering to maintain, enhance or modify the prompts used for AWS Bedrock.
Proficiency in ETL, protobuf.
Experience with Amazon Web Services (AWS).
Experience with API Gateway, Lambda’s, Step-Functions.
Proficiency in version control systems, particularly Git.
Knowledge of Agile methodologies, such as Scrum, and experience working in Agile teams.
Strong problem-solving skills and the ability to debug and optimize code.
Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
Will be a plus:
Experience with HDLive maps, Open Drive, etc.
Technologies:
Python (primary — one or the other)
Big Data, Spark, Pyspark
AWS (Step Functions, ECS, Lambda, EMR)
CI/CD (GitHub / GitLab)
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
AWS
BigData
CI/CD
Python
Spark
Location: London, England, United Kingdom
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About the Team
Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.
Overview
Fanatics Betting & Gaming (FBG) is seeking a Senior Platform Engineer to join our Platform Engineering team. This role will sit in either our Runtime/Compute or the Developer Experience/CICD squad.
As a Senior Platform Engineer, you will work across cloud infrastructure, Kubernetes platforms, CI/CD systems, and internal developer tooling. You will work closely with Product Engineering, Security, Infrastructure IT, and other platform teams to build, enhance, and support our developer platform. You will help define standards and best practices, and act as a force multiplier for engineering teams by improving reliability, scalability, and developer productivity.
What You’ll Do
Own and deliver medium-to-large platform projects from implementation through production
Build and maintain internal platform services and tooling that improve developer experience and delivery velocity
Partner with application teams to unblock delivery and align platform capabilities with developer needs
Drive cloud cost efficiency and optimization across our cloud and infrastructure
Improve operational excellence through observability, automation, and incident response
Help evolve CI/CD pipelines and GitOps-based workflows
Mentor junior engineers through code reviews and knowledge sharing
Participate in on-call rotations and incident response
What You Bring
5–7 years of experience in platform, infrastructure, DevOps, or software engineering
Proficiency with Python and Java. Familiarity with Kotlin, Go a plus
Deep Kubernetes and container orchestration knowledge
Proven CI/CD and GitOps experience
Infrastructure as Code expertise (Terraform)
Strong AWS and cloud-native experience
Experience operating distributed, high-availability systems
Strong ownership mindset and ability to deliver defined projects independently
Clear communication and strong collaboration skills
Nice to Have
Experience with internal developer platforms or tooling
Exposure to regulated or high-availability environments
Backend development experience (Java, Python, Go, or similar)
Familiarity with observability and reliability engineering practices
Why Platform Engineering at FBG
Platform Engineering at FBG operates with a product-first mindset. Our mission is to empower developers with reliable, scalable, and intuitive platforms that accelerate innovation and delivery.
Working Across Regions
This role operates in a globally distributed environment, working closely with teams across the UK, Ireland, and the United States. Strong communication, time zone coordination, and shared ownership are essential for success.
Travel Expectations
Periodic travel to the United States is expected for offsites, planning sessions, and collaboration. Occasional travel within the UK and Ireland may also be required.
Not sure if you check every box?
We believe great engineers come from all kinds of backgrounds. We value
impact, technical leadership, and a growth mindset
just as much as specific tool experience.
Unfortunately, we do not offer sponsorship and you do need to be living in the UK or Ireland to apply.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
· Проектирование и развитие инфраструктурной экосистемы на базе нескольких облаков (архитектура, отказоустойчивость, масштабирование). · Построение и развитие CI/CD на базе GitLabCI + ArgoCD, включая стандартизацию пайплайнов и GitOps-практик.
Location: New York City Metropolitan Area; New York, New York; New Jersey; San Francisco Bay Area, California; Connecticut; Newark, New Jersey
Workplace: remote
About the Role
Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide.
We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us.
Your job has four parts:
Qualify those leads quickly.
Run discovery with buyers at banks, insurers and life sciences companies.
Scope the work with our architects.
Close.
What You'll Do
Pick up new leads as they arrive, decide which to pursue, and be able to explain why
Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path
Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses
Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close
Translate Anthropic's product roadmap and partnership incentives into the client propositions
Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews
Keep the CRM current and forecast your deals accurately
Bring buyer objections and patterns from each industry back to leadership and marketing
Travel for client meetings, up to 30% of your time
What You Need
2–4 years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took
OR
experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors
Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms
Experience selling services engagements or complex B2B deals with several stakeholders
Clear written and spoken communication with director-, VP- and C-level buyers
Comfort handling a steady volume of leads and choosing where to spend your time
Nice to Have
Experience selling AI/ML, data or cloud services
Experience working partner-referred leads from Anthropic, AWS, GCP or Azure
Why this role is worth your time
Leads arrive every day, so your time goes into closing rather than prospecting
You learn enterprise AI consulting sales in two regulated industries
You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations
The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production
Work at the intersection of two AI partnerships: Anthropic and AWS
High-impact role with direct visibility to leadership
Compensation and benefits
Base $90–120K + commission, OTE range $140–170K.
The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
B2B contract model or full-time model
Unlimited vacation policy
Generous health, vision, and dental insurance, and life insurance
401(k) matching plan
Our Process
A 30/45-minute call with our recruiter
An interview with the AE about a deal you closed
An interview with the Chief Commercial Officer
An interview with the CEO
Location: Remote - India
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as our next Staff engineer (L4) on Twilio’s Segment, Data Pipelines team.
About the job
As a Staff Engineer on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll be designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP).
Responsibilities
In this role, you’ll:
Design and deliver robust, high-scale routing experiences for the Data platform/ pipelines team for Twilio Segment.
Ship features that opt for high availability and throughput with eventual consistency
Collaborate with engineering and product leads, as well as teams across Twilio Segment
Support the reliability and security of the platform
Build and optimize globally available and highly scalable distributed systems
Be able to act as a team Tech Lead as needed
Mentor other engineers on the team in technical architecture and design
Partner with application teams to deliver end to end customer success.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Hands-on experience with high-scale messaging/streaming systems (several thousand events/sec) and processing engines ( 1M+ events/sec).
8+ years of experience writing production-grade code in a modern programming language
Strong theoretical fundamentals and hands-on experience designing and implementing highly available and performant fault-tolerant distributed systems.
Experience programming in one or more of the following: Go, Java, Scala, or similar languages
Well-versed in concurrent programming, along with a solid grasp of Linux systems and networking concepts.
Experience operating large-scale, distributed systems on top of cloud infrastructure such as Amazon Web Services (AWS) or Google Cloud Platform (GCP)
Experience in message passing systems (e.g., Kafka, AWS Kinesis) and/or modern stream processing systems (e.g., Spark, Flink).
Have hands-on experience with container orchestration frameworks (e.g. Kubernetes, EKS, ECS)
Leverage best-in-class development productivity practices including AI tooling.
Experience shipping services (products) following CI/CD development paradigm.
Deep understanding of architectural patterns of high-scale web applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms)
Desired:
Ideally domain expertise in the Modern Data stack with experience in developing cloud-based data solution components and architecture covering data ingestion, data processing and data storage
Have a track record of successfully leading teams, large projects, or owned and built an important, complex system end to end, delivered iteratively.
Excellent written and verbal technical communication skills to convey complex technical concepts effectively.Comfortable asking questions and taking initiative to solve problems where it is often necessary to “
draw the owl
”
Location
This role will be based in any of the permitted 5 India states (Delhi, Karnataka, Maharashtra, Telangana & TamilNadu)
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Задачи:
— Функциональное и системное сопровождение банковского программного обеспечения
— Сопровождение и развитие инфраструктуры банковского программного обеспечения
— Обеспечение доступности автоматизированных банковских процессов
— Осуществление технической поддержки пользователей и клиентов
— Накопление и передача технической экспертизы по архитектуре ИТ системы, а также по бизнес-процессам
— Развитие программно-инфраструктурного ландшафта банка
— Реализация пилотных проектов бизнеса
Требования:
— Управление серверами на базе Linux на уровне администратора
— Знание СУБД на уровне администратора: PostgreSQL(Patroni), Redis, MongoDB
— Знание микросервисной архитектуры и технологий контейнеризации: Docker, containerd
— Продвинутые навыки работы с Kubernetes, Helm, Kafka
— Понимание принципов построения процессов CI/CD
— Понимание принципов IaC
— Продвинутые навыки работы с Ansible, Terraform, Terragrunt
— Понимание принципов построения Observability
— Продвинутые навыки работы с ELK/EFK, OpenSearch, Prometheus, VictoriaMetrics
— Опыт работы с облачными провайдерами, например, AWS, Yandex Cloud
— Навыки программирования, например, на Python, GO, Java, JavaScript
Условия:
— Полная занятость
— График работы 5/2
— Формат работы: удалённо
Location: Intellias
Meet your recruiter
Samprati Muddalkar
samprati.muddalkar@intellias.com
https://www.linkedin.com...
Vacancy details
Software Engineering
Scala Engineer
Senior
India, Pune
Hybrid
APPLY NOW
REFER A FRIEND
Our client is a is a location data and technology platform company that empower customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. They create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us!
As a Senior Backened Engineer in the Map Data Processing group you will develop smart Map Data processing tools for the state-of-the-art Mapping Technologies. You will work self-sustained in an agile team. Your responsibility will cover developing, extending and maintaining tool and services that processes map data for global navigational database. For that you will be translating product strategies into technology strategies, leading the long-term architectural direction and helping design and build industry-grade customer-facing geo-data-intensive products. You will work closely with other engineering & operations teams, internal users of tool chains your team develops and partner with product managers and the larger map operations business units.
What project we have for you
Join our engineering organization to build the next generation of automated map data processing for a global provider of location and mapping solutions used in automotive and mobility.
You will work on the
platform
— a system that takes road data from multiple sources (GPS traces, traffic signs, open map data), detects errors in the map, and either auto-corrects them or flags them for human review. The platform produces quality signals and road attribute corrections that feed directly into navigation and autonomous driving products.
Working as part of an agile, cross-functional team on Rakhee’s team, you will build and maintain backend services and distributed data pipelines that keep this platform accurate, reliable, and ready for production load. The primary language on this team is
Scala
— strong engineers in either language are welcome.
What you’ll work on:
Distributed batch pipelines for large-scale road dataset processing (Spark on EMR)
Error detection, confidence-based auto-fix logic, and manual review workflows for map attributes
Data validation, quality gates, and traceability across the pipeline
Cloud-native execution environments (infrastructure automation, CI/CD, operational readiness)
Technologies:
Scala
Python( Good to have)
Apache Spark
Kafka
SQL / PostgreSQL
AWS (Step Functions, ECS, Lambda, EMR)
Apache Airflow
Java ( Good to have)
CI/CD (GitHub / GitLab)
What you will do
Design and implement scalable backend services and data processing pipelines
Contribute to architecture and design discussions with reasoned technical input
Own delivery end-to-end: development, testing, performance optimization, and production support readiness
Implement and maintain testing practices (Unit, Integration, E2E) for owned components
Contribute to monitoring, alerting, and observability of production systems
Improve code quality via reviews, automated testing, and engineering best practices
Contribute to estimations, planning, and iterative delivery in an Agile/Scrum process
Share knowledge and support junior team members’ growth
What you need for this
Required Skills
5+ years
building backend systems with
Scala
as your primary language (strong core competency in one — not a shallow familiarity in both)
Distributed data processing —
Apache Spark
or equivalent (production usage required, regardless of whether your primary language is Scala or Python)
Kafka
— event-driven architecture, producers/consumers, production usage
AWS
— practical experience with EMR, Step Functions, ECS, or Lambda
Strong SQL and data modeling — ideally PostgreSQL (schema design, query optimization, indexes)
Solid knowledge of data structures, OOP, and design patterns
Good understanding of concurrency and multithreading concepts
LLD: modular architecture, clean abstractions, component design
API design awareness: RESTful services, backward compatibility
Testing strategy: unit, integration, E2E — deliberate approach to coverage
Monitoring & observability: logging, metrics, alerting, dashboards in production systems
CI/CD pipelines (GitHub / GitLab) and engineering best practices
English: Upper Intermediate+ (written and spoken)
Nice to Have
The other primary language — if your primary is Scala, Python is a plus; if your primary is Python, Scala is a plus
Java
Apache Airflow or similar pipeline orchestration
LLM/MCP tooling experience
Experience with geospatial/map-related data or large-scale data quality systems
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
Apache
AWS
BigData
DataEngineer
EMR
Kaffka
Scala
Spark
Создание и развитие Internal Developer Platform: инфраструктура самообслуживания, стандартизированные CI/CD, golden paths для команд. Сквозная автоматизация SDLC с минимумом ручных операций.
ОфисseniorКамбоджа; Ищем Директора направления DevOps в международный банк с релокацией в Камбоджу; ✈️ Полностью оплачиваемая релокация в Камбоджу
Location: European Union
About CAST AI
CAST AI is an automation platform that optimises cloud and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, CAST AI continuously improves performance, reliability and efficiency in production.
More than 2,100 companies already rely on CAST AI, including Akamai, BMW, Cisco, FICO, Hugging Face, NielsenIQ, Swisscom and TGS.
CAST AI operates across 34 countries and has a remote-first culture built around small, highly technical teams. In January 2026, the company achieved unicorn status following a strategic investment from Pacific Alliance Ventures, bringing its valuation above $1 billion.
About the role
Databases are still managed manually. Engineers monitor slow queries, decide which indexes to add, tune connection limits and introduce caching, often without being able to prove whether those changes will improve performance in production.
CAST AI is building an autonomous database administrator that can identify problems, recommend improvements and validate that those improvements work before customers rely on them.
As a Senior Software Engineer on the Database Optimisation team, you will work across two core components:
Database Gateway: A high-performance Rust proxy that sits in front of customer databases and provides capabilities such as rate limiting and caching without requiring application changes.
Database Agent: A Go-based service that analyses database workloads and produces recommendations such as index suggestions and query improvements.
The focus is not simply producing recommendations. Every recommendation needs to be reliable and validated. A stale read, incorrect cache decision or poor index suggestion can affect a customer’s production system, so correctness is central to the role.
You will help shape the architecture, technical direction and roadmap of the autonomous DBA product.
What you will do
- Design, build and operate the Database Gateway.
- Develop high-performance services in Go and Rust.
- Work on database caching, rate limiting and other gateway capabilities.
- Build the Database Agent’s recommendation engine.
- Develop systems for index suggestions, query analysis and query improvements.
- Work on cache invalidation and data consistency, where correctness is critical.
- Create methods for safely validating database recommendations before they are applied.
- Debug complex production issues across the gateway, agent and underlying database systems.
- Analyse database performance, query behaviour and workload patterns.
- Collaborate with product and engineering teams on problems without established solutions.
- Contribute to product direction, technical decisions and the engineering roadmap.
- Help shape the next generation of automated database administration.
What we are looking for
- Strong software engineering fundamentals, including clean abstractions and maintainable code.
- Professional experience building production services in Go.
- In-depth knowledge of PostgreSQL or MySQL.
- Understanding of how database clients, drivers and wire protocols work.
- Strong debugging, optimisation and performance-tuning skills.
- Experience with query profiling, index design and database tuning beyond ORM usage.
- Experience taking a complex technical project from design through to production.
- Strong written and spoken English.
- A proactive and adaptable approach to working in a fast-moving environment.
- Comfort working with ambiguity and contributing to technical direction.
Nice to have
- Rust experience, particularly with high-performance network services or proxies.
- Experience building or extending database proxies, gateways or poolers.
- Experience designing cache invalidation strategies at scale.
- Experience with index recommendation, query-plan analysis or query optimisation tooling.
- Experience validating technical changes through workload replay, shadow traffic or benchmarking.
- Production experience with Prometheus, Grafana or OpenTelemetry.
- Experience working with Kubernetes and cloud infrastructure.
Technology
- Go and Rust
- PostgreSQL and MySQL
- Kubernetes
- AWS, GCP and Azure
- Terraform
- gRPC and REST
- Prometheus, Grafana, Loki, Tempo and VictoriaMetrics
- GitLab CI and Argo CD
What we offer
- €6,500 to €9,000 gross per month, depending on experience and level
- Remote-first work environment
- Equity options
- Global team of cloud and infrastructure specialists
- Fast feedback and short delivery cycles, with many feature projects completed within one to four weeks
- 10% of working time for personal projects or professional development
- Annual learning budget, including conferences and courses
- Annual hackathon
- Team-building budget and company events
- Equipment budget
- Additional days off
Hiring process
- Recruiter screening call
- Hiring Manager interview
- Technical system design interview
- Live coding interview
- Executive culture interview
A background check may be conducted at the final stage through our third-party provider, Checkr.
CAST AI does not provide visa sponsorship or work permits for this position.
This opportunity is currently open to candidates residing in:
Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia and Ukraine.
France - Office - Paris
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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