Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises.
The STEM Horizontal team produces the high-signal coding and STEM data frontier labs train on. We're looking for a
Research Engineering Manager
to lead the research engineering behind its next layer:
synthetic data
that measurably improves models, and
new benchmarks
that measure what today's evals miss.
You'll lead a team of research engineers, work side by side with research scientists, and stay close enough to the code to review an eval harness line by line or prototype a generator yourself when the team needs it. You'll also
build the team
: hiring research engineers is a core part of this role, not a side task. Ideally you've been on the other side, at a frontier lab, and know what makes a lab trust a dataset or a benchmark result.
Synthetic data that earns its place.
Generation, verification, and filtering pipelines where every sample is checked, and where we can show which properties of the data drive downstream gains, not just how much of it we made.
Benchmarks that stay meaningful.
New evaluations for capabilities current benchmarks miss, built with calibrated difficulty, contamination controls, and statistics strong enough that a lab can make a decision on the result.
Quality failures here are quiet. A subtle bug in a verifier doesn't crash anything; it ships thousands of wrong labels into someone's training run and costs weeks. If you want to build the team and the systems that catch that early, this is the seat.
What You'll Do
1. Build and Lead the Team
Build the team:
define the profiles you need, run hiring, and grow research engineers selected for research taste as much as engineering rigor.
Run the team's operating rhythm: project selection, planning, experiment reviews, design docs, and clear ownership.
Coach engineers on experimental design, code quality, and presenting results; give direct, regular feedback and run fair performance cycles.
Define the
standards
the team works to: eval methodology, data quality bars, and reproducibility — every dataset and result can be regenerated from a commit, a config, and a seed.
2. Partner with Research Scientists
Turn hypotheses into
experiment plans
together: what we're testing, the baseline, the ablations, and the result that would change our minds.
Set the agenda
with research scientists. You're expected to bring your own hypotheses, not only implement theirs.
Take research prototypes to production scale without losing the scientific intent.
3. Build Synthetic Data Systems at Scale
Own
synthetic data pipelines
that generate, verify, filter, deduplicate, and version data, combining programmatic generators, LLM-based generation, automated verifiers, and targeted expert review.
Judge data by its
effect on models
: ablations and fine-tuning or RL experiments that show which attributes (difficulty, diversity, correctness, coverage) drive gains.
Build
quality systems
that hold up at volume: gold sets, LLM-judge calibration against expert labels, sampling audits, and agreement metrics.
4. Create New Benchmarks and Evaluations
Find where frontier models fail and where existing benchmarks have saturated, and design
evaluations that measure what's missing
.
Own
benchmark methodology
end to end: task taxonomy, difficulty calibration, graders and verifiers, contamination controls, held-out splits, and confidence intervals.
Ship
eval harnesses
, including agentic and sandboxed-execution evals, that are deterministic, reproducible, and trusted by internal teams and partner labs.
Make the call
on whether a result holds up: partner labs and internal teams act on your sign-off.
Publish benchmarks, datasets, and findings with our research scientists at venues such as NeurIPS, ICML, and ICLR.
5. Stay Hands-On and Work with Frontier Labs
Write code every week on the hardest, highest-leverage parts: core verifier logic, eval statistics, the pipeline component everything else depends on. Expect
a third or more
of your time on direct technical work.
Be the person the team brings its hardest debugging and methodology questions to: why a judge disagrees with experts, why an eval number moved, whether a gain is real or noise.
Act as a
technical counterpart
to researchers at frontier AI labs: scope requests, set acceptance criteria, and explain results and trade-offs plainly.
Partner with Strategic Project Leads, delivery, and engineering teams so research advances land in client work and in the platforms the team builds.
Sample Projects
Identify
a capability gap,
design and ship
a benchmark for it, and see it adopted by partner labs.
Stand up a
synthetic data pipeline for long-horizon coding tasks
with execution-based verifiers, and run the ablations that show which task properties drive RL gains.
Calibrate an LLM-judge grading system
against expert labels, map where it fails, and decide where humans stay in the loop.
Design the experiment that tells a partner lab whether a
two-point gain
on their eval is real.
Decide which of three competing synthetic data approaches the team should bet on, and design the experiments that settle it.
Tech Stack
Research:
Python · PyTorch or JAX · SFT · DPO · PPO / GRPO · RL with verifiable rewards
Evals & data:
LLM-as-judge · programmatic verifiers · sandboxed execution · gold sets · contamination checks
Platform:
Python services (Django / FastAPI) · PostgreSQL · Docker · Terraform · AWS or GCP
What We're Looking For
Experience:
8+ years of hands-on ML or research engineering, at least 5 in industry, including
3+ years directly managing
research engineers, ML engineers, or researchers (hiring and performance management included).
Synthetic data at scale:
you've
owned
synthetic or curated data pipelines in production
whose output drove training decisions
, and can show how you measured their quality and downstream impact.
Evaluation rigor:
you've
designed and shipped
LLM evals or benchmarks that others used to make model decisions, and understand contamination, saturation, judge bias, inter-annotator agreement, variance, and confidence intervals.
Experimental judgment:
you plan ablations up front, choose baselines honestly, and can tell a real effect from noise.
Technical depth:
strong Python; production experience with PyTorch or JAX; working knowledge of the post-training stack (SFT, DPO, PPO/GRPO, RL with verifiable rewards).
Technical direction:
a track record of setting direction for a team, not only executing a roadmap handed to you.
Scale:
distributed data processing and large evaluation or training jobs (e.g., Ray, Spark, Kubernetes) on AWS or GCP.
Communication:
clear written communication for scientists and non-specialists alike; comfortable presenting results to researchers at partner labs.
AI-forward:
daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you ship, with the judgment to review their output critically. This is a must-have.
Education:
PhD or Master's degree in AI, machine learning, computer science, statistics, or a closely related field; PhD preferred. Exceptional equivalent research experience will also be considered. We weigh industry outcomes most heavily.
Strongly Preferred
Frontier AI lab experience:
post-training data, evals, or reward modeling at a frontier lab (e.g., OpenAI, Anthropic, Google DeepMind, Meta, xAI) or a top industry research group.
Built or contributed to a
public benchmark or dataset
the community uses.
Nice to Have
First-author papers at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar.
RL environment and verifier design for agentic tasks: coding agents, tool use, computer use, long-horizon workflows.
Data valuation or attribution: measuring what each slice of data contributes to a model.
Depth in a STEM domain such as math, physics, chemistry, or biology (not required).
Experience managing tech leads or managers, or running several concurrent programs.
Directing large expert networks through specs, rubrics, and fast feedback loops.
A note from our CTO, Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training, evaluation, and synthetic data.
Build the datasets and benchmarks that improve and measure the capabilities of advanced AI systems.
Shape how frontier labs measure progress on coding and STEM reasoning.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation
$260,000 to $350,000 + Equity
Don't meet every single requirement?
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive, and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
United States; For applicants from the European Union, please review Turing's GDPR notice here; For applicants from the European Union, please review
Location: New York, New York; Austin, Texas; Dallas, Texas; Boston, Massachusetts; Raleigh, North Carolina
Workplace: Remote
ROLE SUMMARY
The Senior Developer Success Engineer will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience.
Location: Must reside in the Eastern Time Zone.
WHAT YOU'LL DO
Be a keen learner:
- At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases.
- Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning.
Be a passionate problem solver:
- If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users.
- You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale.
- Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry, we have seasoned engineers and mentors to support you along the way!
Be a great communicator:
- As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability.
- Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test).
- You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales.
WHAT YOU'LL BRING
- 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript.
- Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker).
- Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues.
- Minimum of one year experience in an internal or external customer-facing role.
- Passion for helping others regardless of who they are or how they act.
- Experience working with or as part of remote teams.
- Strong written and verbal communication skills.
- Seek to understand first, lead with data, and rely on facts.
NICE TO HAVE
- Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc.
- Experience with security certificate management and implementation.
- Ability to understand use cases and translate them into Temporal design decisions and architecture best practices.
- Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate 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. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: United States; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; United Kingdom; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Bitnomial is building the next generation US-based global derivatives exchange, starting with digital assets and progressively expanding to encompass a full spectrum of commodities worldwide. Bitnomial operates a US CFTC regulated exchange (DCM), clearinghouse (DCO), and brokerage (FCM). It offers a range of crypto-settled derivatives, including futures, options, and a suite of live perpetual futures, used by brokers, hedge funds, institutions, and trading firms around the world.
Bitnomial's exchange, clearinghouse, and brokerage systems are written largely in Haskell. In this role you will build the services and data models that record every order, fill, and settlement at a CFTC-regulated exchange and clearinghouse, with the database as a first-class part of the design. You will build features across these systems and design the schema, queries, and migrations behind them.
THE OPPORTUNITY
- Improve build and release pipelines in GitHub Actions: caching, parallelism, pinned toolchains, and required tests and scans before production
- Manage AWS infrastructure as code with Terraform, and run services as containers on Nomad
- Build deployment tooling with health checks and automated rollback, and make deploys safe around market sessions
- Add metrics and alerts to the services you build, so you can see whether a deploy worked
- Monitor systems, respond to alerts, and support daily operations such as settlement cycles
- Fix the cause of production issues and write down what you learned
- Build, test, and ship well-reviewed features and fixes in our services across the exchange, clearinghouse, and brokerage. Most of the code is Haskell
- Understand the order, trade, clearing, and settlement flows end to end
WHAT YOU BRING
- Hands-on experience with CI/CD pipelines, such as GitHub Actions or GitLab CI
- Production experience with AWS and Docker, and infrastructure as code with Terraform
- Strong Linux and scripting skills (Bash, Python, or similar)
- 3+ years of professional software engineering experience with a functional or strongly typed programming language such as Haskell, Rust, or C++
- Solid computer science fundamentals, including distributed systems: failure modes, retries and idempotency, consistency, and how to observe them across services
- Willingness to take part in on-call and operational shifts
- Care and rigor with code that moves money
- Good judgment with AI tools. You use them to work faster, and you read, test, and understand what they produce before you ship it
- A habit of asking why before changing something
- Sound judgment under pressure, with a calm and methodical approach when production is live
- Collaboration across engineering, operations, risk, and compliance, with a habit of documenting
NICE TO HAVES
- Financial knowledge or experience in trading, markets, or financial services
- Bachelor's degree in computer science or a related field, or equivalent experience
- Experience with Nomad or Kubernetes
- Experience with Nix, Ansible, Vault, or Prometheus, Grafana, and Loki
- Haskell experience
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United States; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Bitnomial is building the next generation US-based global derivatives exchange, starting with digital assets and progressively expanding to encompass a full spectrum of commodities worldwide. Bitnomial operates a US CFTC regulated exchange (DCM), clearinghouse (DCO), and brokerage (FCM). It offers a range of crypto-settled derivatives, including futures, options, and a suite of live perpetual futures, used by brokers, hedge funds, institutions, and trading firms around the world.
Bitnomial's exchange, clearinghouse, and brokerage systems are written largely in Haskell. In this role you will build the services and data models that record every order, fill, and settlement at a CFTC-regulated exchange and clearinghouse, with the database as a first-class part of the design. You will build features across these systems and design the schema, queries, and migrations behind them.
THE OPPORTUNITY
- Build, test, and ship well-typed, well-reviewed features and fixes in Haskell services across the exchange, clearinghouse, and brokerage
- Understand the order, trade, clearing, and settlement flows end to end
- Design schema, constraints, and indexes for new features, using exact numeric types and audit trails so financial values cannot drift
- Write migrations that are lock-safe and reversible on large tables, and review the migrations of other engineers
- Read execution plans, find slow queries from production metrics, and fix the cause in the query, the index, or the access pattern
- Monitor systems, respond to alerts, and support daily operations such as settlement cycles
- Fix the cause of production issues and write down what you learned
WHAT YOU BRING
- 3+ years of professional software engineering experience with a functional or strongly typed programming language such as Haskell, Rust, or C++
- Strong SQL and PostgreSQL skills, including transactions and isolation levels
- Solid computer science fundamentals, including data structures, concurrency, and distributed systems: replication, consistency, retries and idempotency, and how services keep shared data correct when parts fail
- Willingness to take part in on-call and operational shifts
- Care and rigor with code and data that move money. You measure before you tune
- Good judgment with AI tools. You use them to work faster, and you read, test, and understand what they produce before you ship it
- A habit of asking why before changing something
- Sound judgment under pressure, with a calm and methodical approach when production is live
- Collaboration across engineering, operations, risk, and compliance, with a habit of documenting
NICE TO HAVES
- Financial knowledge or experience in trading, markets, or financial services
- Bachelor's degree in computer science or a related field, or equivalent experience
- Haskell experience, particularly with PostgreSQL-backed services
- Production experience with AWS Aurora PostgreSQL
- Experience with time series or market data at volume, such as tick data, order books, or event streams
- Experience with Atlas or another declarative schema management tool
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Remote - US
About the Job:
LaunchDarkly's Governance, Risk, and Compliance team is hiring a Security Analyst III to facilitate the definition, implementation, and operation of security and privacy programs at LaunchDarkly.
LaunchDarkly is critical infrastructure. Our security team keeps it safe for the global systems that depend on us and the
GRC
team demonstrates that to earn the trust of our customers. As a member of the team, you'll drive initiatives to assess and reduce security risks to the company, advise stakeholders, and maintain compliance with the frameworks that we adhere to including ISO 27001, SOC 2 Type II, and FedRAMP.
You'll report to the Director of Security and partner closely with stakeholders in Legal, Revenue, and other members of our security team. We expect you to bring a sharp point of view on where AI can take work off the team's plate and make our coverage deeper.
Responsibilities:
Collaborate with stakeholders to design and operate security controls that comprise the LaunchDarkly
GRC
program
Use technology to automate compliance activities like gathering evidence and verifying controls
Operationalize the health and maturity of the program by tracking metrics based on quantitative and qualitative data
Drive progress towards results for
GRC
-related continuous improvement projects
Contribute to documentation for security standards, policies, and processes
Support audits and assessments with internal and external stakeholders
Work with product and infrastructure delivery teams on engineering projects related to
GRC
requirements
Qualifications:
Deep cybersecurity, privacy, and risk management knowledge and skill
Excellent communication skills - written and verbal
Experience working on collaborative projects
Depth with modern cloud-based SaaS organizations - specifically AWS control environments
Information security experience at an organization with significant compliance requirements
Strong familiarity with security standards (SOC 2, ISO 27001, ISO 27701, FedRAMP) as well as privacy laws (
CCPA
and
GDPR
)
Familiarity with LaunchDarkly’s collaboration tools like Confluence, Slack, and Github
Nice to Have:
Considerable knowledge of software development and architecture
CCSP,
PCI
QSA
,
CISSP
, or
CISA
/
CISM
certifications
Qualifications:
You're proactive by default. You'd rather spot compliance drift early and fix the cause rather than chase symptoms during an audit.
You believe good governance is a craft of habits and systems. Small consistent improvements beat heroic one-offs.
You invest in relationships with the teams you work with.
You know good governance and compliance relies heavily on trust and communication.
You're a good partner. You're helpful and direct, you say no with reasons and alternatives, and you don't mistake gatekeeping for rigor.
You're engineering-curious by nature. You want to understand how the systems work and how to adapt for compliance frameworks.
You treat AI as part of the toolkit. You're skeptical where you should be, aggressive where it pays off, and you want to work somewhere that's serious about both.
Pay:
Target pay ranges based on Geographic Zones* for Level 4:
Zone 1: San Francisco/Bay Area or NYC Metropolitan Area: $152,900 - $210,210**
Zone 2: Boston, DC, Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Seattle: $137,600 - $189,200**
Zone 3: All other US locations: $129,900 - $178,640**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Location: Intellias
Meet your recruiter
Viktoriia Tochylova
viktoriia.tochylova@intellias.com
https://www.linkedin.com...
Vacancy details
Software Engineering
Scala Engineer
Senior
Bulgaria, Poland, Portugal, Spain, Ukraine
Remote
APPLY NOW
REFER A FRIEND
Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world.
What project we have for you
Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field.
What you will do
Design, develop, and maintain scalable backend services using Scala.
Build reliable event-processing, notification, and integration services.
Develop APIs and distributed system components in highly available environments.
Deliver scalable, fault-tolerant solutions that provide business value.
Contribute to system architecture, technical design, and engineering decisions.
Troubleshoot complex production issues and perform root-cause analysis.
Support integration, acceptance, and quality assurance testing activities.
Maintain high software quality through testing, reviews, documentation, and best practices.
Mentor engineers and promote technical excellence within the team.
Collaborate with cross-functional stakeholders in Agile environments.
Own services throughout their lifecycle, from design and development to deployment and production support.
Ability to provide
6 hours overlap with US Central Time (CT)
on business days (till 2 pm CT latest).
What you need for this
Mandatory
5+ years of experience with Scala
designing, developing, deploying, and maintaining backend services and distributed systems in production.
10+ years of software engineering experience (preferrably Java)
5+ years
of experience building distributed systems using
Akka (Streams, Actors, HTTP, Persistence)
or
Apache Pekko
.
5+ years
of experience with
AWS
Strong experience designing and operating event-driven distributed systems using technologies such as
Kafka
,
AWS Kinesis
, or
equivalent messaging platforms
.
Strong
experience
with
functional programming concepts and libraries such as
Cats
,
Cats Effect, or ZIO.
Hands-on experience with
Docker
.
Strong
experience
with
PostgreSQL
and
SQL
query development.
Experience with
CI/CD tools
and automated deployment pipelines (preferably
GitHub Actions
)
Experience designing and operating event-driven architectures and stream-processing systems.
Experience with microservice architectures.
Experience working within Agile software development environments.
Strong understanding of software architecture and solution design.
Strong ownership mindset with the ability to independently drive complex technical initiatives.
Nice to have:
Experience with Java 17+/21.
Experience with Spring Boot.
Experience with Hibernate/JPA.
Experience with DynamoDB.
Experience with CloudFormation.
Experience with Flyway.
Experience with Snowflake, BigQuery, or Databricks.
Experience processing telemetry or event data at scale.
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
Scala
Graphcore is looking for a Senior Network Operations Engineer to maintain reliable and secure networks, resolve complex incidents, and automate operations.
Analyze, validate, and maintain datasets used for AI and machine learning applications. Identify missing, duplicate, inconsistent, and inaccurate data.
УдалённоСША; Candidates from eligible locations across the United States are encouraged to apply; Ability to collaborate with distributed teams across different US time zones; We welcome qualified candidates from diverse professional backgrounds and encourage applications from eligible candidates across the United States
Location: Москва
Workplace: гибкий
Наша команда занимается разработкой DBaaS.
Мы разрабатываем отказоустойчивую платформу, используя подходы микросервисной архитектуры. Уже сейчас в состав платформы входят все известные базы данных, PostgreSQL, MySQL, MongoDb, ClickHouse, Opensearch, Redis, GreenplumDB.
Используя накопленный нами опыт и знания работы высокопроизводительных, распределённых систем, мы помогаем крупным Enterprise-заказчикам надёжно хранить и обрабатывать большие объёмы данных.
Задачи
Мы развиваем Managed DBaaS в облачной гетерогенной среде.
Перед нами стоит амбициозная цель построить инфраструктуру для удобного, надёжного и безопасного управления кластерами всех решений баз данных, доступных на рынке.
Вам предстоит решать вопросы:
Автоматизация E2E-тестирования разворачивания всех приложений, поддерживаемых платформой
Автоматизация тестирования Frontend-решений (Playwright)
Автоматизация тестирования стресс- и нагрузочных тестов
Автоматизация ПСИ
Требования
Знание и умение работать со стеком технологий: Python 3.7-3.11, GitlabCI
Образование техническое высшее
Опыт работы не менее трёх лет в тестировании API и web-приложений
Опыт работы с одной из CI/CD систем (Gitlab / GitHub Actions / Teamcity / Jenkins /...)
Опыт поиска уязвимостей ПО
Документирование обнаруженных ошибок и контроль их исправления
Умение устанавливать причину дефекта и фиксировать шаги для повторения
Умение решать прикладные задачи на одном из популярных языков программирования
Опыт взаимодействия с различными RestApi
Понимание Git, Git Workflows
Написание и поддержка тестовой документации (тест-планы, тест-кейсы, чек-листы)
Аналитический склад ума, инициативность, ответственность, умение работать в команде, нацеленность на результат
Активная коммуникация с разработчиками, помощь в локализации дефектов
Будет плюсом
Работали с базами данных и понимаете устройство баз данных (Postgresql/MySQL)
Знакомы с ClickHouse/Kafka/Redis решениями
Разбираетесь в облачной инфраструктуре (OpenStack), мониторинге, системах управления конфигурациями
Работали с публичными облаками (AWS, Azure, Google Cloud, YCloud)
Задачи: эксплуатация и развитие Kubernetes-инфраструктуры — инсталляция и сопровождение сторонних продуктов (базы данных, аналитические системы, интеграционные API и др.), поддержка бизнес-приложений в production, консультации команд по конфигурации и эксплуатации сервисов в k8s;
Location: Intellias
Meet your recruiter
Sara Gomes
sara.gomes@intellias.com
https://www.linkedin.com...
Vacancy details
ITSM
Support Engineer
Middle
Bulgaria, Poland, Portugal
Remote
APPLY NOW
REFER A FRIEND
Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!
What project we have for you
Join our team and immerse yourself in the dynamic world of innovative global companies, including Fortune 500 leaders across diverse industries such as Mobility, Retail, Financial Services & Insurance (FS&I), Travel & Hospitality, Telecom & Media, and more. As a pivotal member of our cross-functional Support Team, you will play a crucial role in driving operational excellence and elevating the customer experience for users of cutting-edge technology solutions developed for—and in collaboration with—Intellias’s esteemed clients. This is your chance to make a significant impact in a role that promises not just challenges but also rewarding experiences in a vibrant, supportive environment.
What you will do
Monitor platforms, applications, integrations, infrastructure, and connectivity services across assigned projects.
Validate monitoring alerts and determine whether they represent actionable incidents, known issues, or false positives.
Respond to incidents and service requests through agreed support channels and within defined SLA targets.
Investigate and resolve incidents, including real-time issues, through structured troubleshooting and log analysis.
Investigate application, platform, cloud, vehicle-to-cloud, SIM/eSIM, and mobile-connectivity issues.
Analyse logs and monitoring data using Kibana, Grafana, Azure Monitor, or similar observability tools.
Perform structured troubleshooting across application, networking, database, cloud, and integration layers, including root cause analysis and validation of resolution approaches.
Use basic SQL queries to validate data, investigate incidents, and confirm system behaviour.
Resolve complex technical issues through research, issue reproduction, and collaboration with internal support and engineering teams.
Apply approved runbooks, knowledge articles, recovery procedures, and stable workarounds.
Take end-to-end ownership of assigned incidents, including cases escalated to internal resolver groups or external suppliers.
Coordinate technical escalations with engineering teams, telecom providers, cloud providers, external vendors, and other third parties.
Support P1/P2 and Major Incident response, including incident bridges, escalation management, stakeholder communication, action tracking, and service-restoration coordination.
Act as Incident Manager during Major Incidents when required.
Provide clear and timely incident updates to customers, service managers, and technical stakeholders.
Document investigation steps, findings, dependencies, workarounds, resolutions, and next actions in Jira Service Management.
Prepare or contribute to root cause analyses, postmortems, post-incident reports, and corrective and preventive action plans.
Maintain and improve knowledge articles, runbooks, Known Error records, and troubleshooting guides in Confluence.
Monitor incident trends, gather and report support metrics, and track resolution progress.
Identify recurring incidents, monitoring gaps, alert noise, and opportunities for service improvement.
Execute database and system changes in production environments in line with change management processes.
Support system and database performance optimization, high availability and disaster recovery (HA/DR) activities, security hardening, patching, upgrades, and migrations.
Provide proactive recommendations for system optimization, cost efficiency, and improvements to support processes and operational efficiency.
Ensure stability, reliability, and business continuity of supported systems.
Follow security, data-protection, access-control, and change-management requirements of each project.
Participate in shift handovers and ensure that all active work across projects is transferred with sufficient technical and operational context.
Participate in shift-based 24/7/365 support model.
Act as a reliable and customer-focused point of contact, clearly communicating progress, actions, and resolutions.
What you need for this
The role focuses on monitoring, incident investigation, log analysis, troubleshooting, service restoration, and coordination with internal engineering teams, telecom providers, cloud providers, and other external suppliers across several client projects as part of a shared 24/7 support team.
The engineer will take ownership of technical incidents during assigned support hours, including high-priority P1/P2 cases and low priority P3/P4/P5, and ensure that investigation progress, actions, escalations, and resolutions are clearly documented and communicated in line with each project’s SLAs and processes.
3+ years in technical support, application support, production support, IT operations, or a similar role.
Excellent communication skills in English (B2 or higher – written and spoken).
Strong experience with log analysis, technical troubleshooting, and incident investigation.
Hands-on experience with monitoring, logging and observability tools (e.g., Kibana/ELK, Grafana, Prometheus, Azure Monitor / Log Analytics or similar).
Basic knowledge of server hardware, software, and operating systems.
Solid understanding of
networking
fundamentals, including:
TCP/IP;
DNS;
HTTP/HTTPS;
VPN;
routing;
firewalls;
mobile and internet connectivity concepts.
Ability to write and execute basic
SQL
queries for troubleshooting and data validation.
Theoretical knowledge of
Microsoft Azure administration
: Azure Virtual Machines, Storage, Networking, Azure Active Directory (Entra ID), Monitoring tools (Azure Monitor, Log Analytics).
Familiarity with AWS, Google Cloud Platform.
Understanding of
cloud architecture and troubleshooting methodologies.
Proficiency in:
Azure CLI and Shell scripting (Bash / PowerShell).
Ability to automate operational tasks and troubleshooting steps.
Practical experience with Jira Service Management and Confluence, or comparable ITSM and knowledge-management platforms (Zendesk, Freshdesk, ServiceNow, etc.).
Proven ability to investigate complex technical issues across multiple systems and dependencies.
Experience working with Incident Management, Major Incident Management, Problem Management, Change Management, and Service Request processes.
Understanding of ITIL-based support practices and SLA-driven service delivery.
Ability to coordinate troubleshooting activities with internal engineering teams and external suppliers.
Strong ownership mindset and ability to manage incidents from initial investigation through restoration and closure.
Ability to prioritize multiple incidents and tasks across several projects in a dynamic operational environment.
Strong analytical, problem-solving, and time management skills.
Clear and professional written and verbal communication skills; strong customer service orientation.
Ability to work independently while collaborating effectively with distributed technical teams.
Ability to remain calm and structured during critical incidents and customer escalations.
An enthusiastic attitude towards learning new technologies, domains, and client-specific processes.
Willingness to work in shift-based support model (24/7/365 Support Model).
Strong attention to documentation quality, data security, and operational compliance.
Good to Have:
Experience in a 24/7 or shift-based production support environment.
Experience supporting multiple clients or projects in a shared / managed services team.
Azure Administration Certification (Microsoft Certified: Azure Administrator Associate (Exam AZ-104)).
ITIL Foundation or another relevant service-management certification.
Practical experience with ITIL processes, ability to explain lifecycle of each issue type.
Practical experience with root cause analysis and post-incident reviews.
Knowledge of dynamic alerting and anomaly detection in monitoring tools.
Experience in the telecommunications industry.
Experience in the automotive, connected-vehicle, telematics, or mobility domain.
Understanding of mobile network concepts, including SIM/eSIM lifecycle, roaming, mobile-data sessions, and connectivity troubleshooting.
Experience working with external telecom providers, software suppliers, or cloud vendors.
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
Azure
Connectivity
EnglishB2
Monitoring
PowerShell
SQL
SupportSpecialist
Location: United States, San Diego, CA
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.
SDET Contractor
We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role will design and implement automated testing strategies across AI/LLM-driven applications, APIs, microservices, and distributed systems.
The ideal candidate brings strong Quality Engineering and test automation fundamentals, with experience testing Generative AI, LLM-based, or Agentic AI systems. They should be comfortable testing complex systems where behavior may be non-deterministic and traditional pass/fail testing alone may not be sufficient.
Responsibilities
Develop and execute comprehensive QE strategies and test plans for Agentic AI systems, backend services, APIs, and service integrations.
Design and maintain scalable automated test frameworks across API, functional, integration, contract, regression, and end-to-end testing.
Develop testing approaches for non-deterministic AI behavior and establish meaningful evaluation criteria.
Identify quality risks early and apply risk-based, shift-left testing practices throughout the development lifecycle.
Integrate automated testing into CI/CD pipelines and establish effective quality gates.
Partner with Software Engineers, Product Managers, and other QE teams to improve testability, observability, and overall product quality.
Analyze defects and production issues to identify root causes, testing gaps, and opportunities for continuous QE improvement.
Establish quality metrics and provide visibility into test coverage, reliability, defects, and release readiness.
What You'll Do
Test Agentic AI workflows, including multi-step execution, tool selection and invocation, task completion, and failure handling.
Validate AI-generated responses using appropriate measures for accuracy, relevance, groundedness, consistency, and adherence to expected behavior.
Test AI guardrails, unexpected inputs, and failure scenarios, including incorrect tool usage and prompt-based attacks.
Validate interactions between AI agents, APIs, tools, data sources, and downstream services.
Develop reusable automation, test data, and evaluation scenarios for repeatable AI and services testing.
Validate API contracts, schemas, authentication, business rules, error handling, and service integrations.
Investigate failures across distributed systems and distinguish application, integration, environmental, automation, and AI-related issues.
Participate in defect triage, root-cause analysis, regression testing, and release-readiness activities.
Qualifications
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
4+ years of experience in Software Development Engineering in Test, Quality Engineering, Software Engineering, or a related discipline.
Strong experience testing REST APIs, backend services, microservices, or distributed systems.
Hands-on experience developing automated tests using Python, Java, JavaScript, TypeScript, or a similar programming language.
Experience with functional, integration, regression, contract, and end-to-end testing.
Experience integrating automated tests into CI/CD pipelines.
Strong analytical, debugging, and root-cause-analysis skills.
Experience working in an Agile development environment and collaborating across engineering teams.
Required Skills
Strong understanding of software testing methodologies and Quality Engineering practices.
Strong API and services testing experience, including REST, JSON, schemas, authentication, and error handling.
Experience designing and maintaining automated test frameworks.
Experience with Git and CI/CD development workflows.
Ability to develop risk-based test strategies and identify appropriate testing layers.
Experience testing distributed systems and service-to-service integrations.
Hands-on experience testing Generative AI, LLM-powered applications, or Agentic AI systems.
Understanding of testing non-deterministic AI behavior and evaluating outputs beyond exact-match assertions.
Preferred Skills (Good to have)
Experience testing Agentic AI workflows, including planning, multi-step execution, tool calling, memory, or state management.
Experience with AI evaluation techniques such as evaluation datasets, semantic evaluation, LLM-as-a-Judge, groundedness, relevance, or hallucination detection.
Experience with AI/LLM evaluation or observability tools such as LangSmith, DeepEval, Ragas, Arize Phoenix, Promptfoo, or similar technologies.
Experience testing RAG systems or AI agents interacting with APIs, databases, or external tools.
Experience with contract testing tools such as Pact and API specifications such as OpenAPI/Swagger.
Experience with event-driven architectures, Kafka, Docker, Kubernetes, or cloud platforms such as AWS.
Experience with performance, scalability, reliability, or resiliency testing.
Experience establishing QE metrics, quality gates, or cross-team testing standards.
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information 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.
We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation.
At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below, this is an hourly rate.
$58
—
$72 USD
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.
УдалённоseniorNew York, New York; Austin, Texas; Dallas, Texas; Boston, Massachusetts; Raleigh, North Carolina; Location: Must reside in the Eastern Time Zone
УдалённоUnited States; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; United Kingdom; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited States; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
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